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0?arguments[1]:Number.NaN,r=arguments.length>2&&arguments[2]!==void 0?arguments[2]:Number.NaN,i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:Number.NaN;this.x1=t,this.y1=e,this.x2=r,this.y2=i,this.addPoint(t,e),this.addPoint(r,i)}get x(){return this.x1}get y(){return this.y1}get width(){return this.x2-this.x1}get height(){return this.y2-this.y1}addPoint(t,e){typeof t!="undefined"&&((isNaN(this.x1)||isNaN(this.x2))&&(this.x1=t,this.x2=t),tthis.x2&&(this.x2=t)),typeof e!="undefined"&&((isNaN(this.y1)||isNaN(this.y2))&&(this.y1=e,this.y2=e),ethis.y2&&(this.y2=e))}addX(t){this.addPoint(t,null)}addY(t){this.addPoint(null,t)}addBoundingBox(t){if(t){var{x1:e,y1:r,x2:i,y2:a}=t;this.addPoint(e,r),this.addPoint(i,a)}}sumCubic(t,e,r,i,a){return Math.pow(1-t,3)*e+3*Math.pow(1-t,2)*t*r+3*(1-t)*Math.pow(t,2)*i+Math.pow(t,3)*a}bezierCurveAdd(t,e,r,i,a){var o=6*e-12*r+6*i,s=-3*e+9*r-9*i+3*a,u=3*r-3*e;if(s===0){if(o===0)return;var c=-u/o;0=e.length-1}next(){var t=this.commands[++this.i];return this.previousCommand=this.command,this.command=t,t}getPoint(){var t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:"x",e=arguments.length>1&&arguments[1]!==void 0?arguments[1]:"y",r=new Rt(this.command[t],this.command[e]);return this.makeAbsolute(r)}getAsControlPoint(t,e){var r=this.getPoint(t,e);return this.control=r,r}getAsCurrentPoint(t,e){var r=this.getPoint(t,e);return this.current=r,r}getReflectedControlPoint(){var t=this.previousCommand.type;if(t!==N.CURVE_TO&&t!==N.SMOOTH_CURVE_TO&&t!==N.QUAD_TO&&t!==N.SMOOTH_QUAD_TO)return this.current;var{current:{x:e,y:r},control:{x:i,y:a}}=this,o=new Rt(2*e-i,2*r-a);return o}makeAbsolute(t){if(this.command.relative){var{x:e,y:r}=this.current;t.x+=e,t.y+=r}return t}addMarker(t,e,r){var{points:i,angles:a}=this;r&&a.length>0&&!a[a.length-1]&&(a[a.length-1]=i[i.length-1].angleTo(r)),this.addMarkerAngle(t,e?e.angleTo(t):null)}addMarkerAngle(t,e){this.points.push(t),this.angles.push(e)}getMarkerPoints(){return this.points}getMarkerAngles(){for(var{angles:t}=this,e=t.length,r=0;r1&&arguments[1]!==void 0?arguments[1]:!1;if(!e){var r=this.getStyle("fill"),i=this.getStyle("fill-opacity"),a=this.getStyle("stroke"),o=this.getStyle("stroke-opacity");if(r.isUrlDefinition()){var s=r.getFillStyleDefinition(this,i);s&&(t.fillStyle=s)}else if(r.hasValue()){r.getString()==="currentColor"&&r.setValue(this.getStyle("color").getColor());var u=r.getColor();u!=="inherit"&&(t.fillStyle=u==="none"?"rgba(0,0,0,0)":u)}if(i.hasValue()){var c=new q(this.document,"fill",t.fillStyle).addOpacity(i).getColor();t.fillStyle=c}if(a.isUrlDefinition()){var p=a.getFillStyleDefinition(this,o);p&&(t.strokeStyle=p)}else if(a.hasValue()){a.getString()==="currentColor"&&a.setValue(this.getStyle("color").getColor());var E=a.getString();E!=="inherit"&&(t.strokeStyle=E==="none"?"rgba(0,0,0,0)":E)}if(o.hasValue()){var O=new q(this.document,"stroke",t.strokeStyle).addOpacity(o).getString();t.strokeStyle=O}var m=this.getStyle("stroke-width");if(m.hasValue()){var D=m.getPixels();t.lineWidth=D||ae}var V=this.getStyle("stroke-linecap"),L=this.getStyle("stroke-linejoin"),U=this.getStyle("stroke-miterlimit"),K=this.getStyle("stroke-dasharray"),G=this.getStyle("stroke-dashoffset");if(V.hasValue()&&(t.lineCap=V.getString()),L.hasValue()&&(t.lineJoin=L.getString()),U.hasValue()&&(t.miterLimit=U.getNumber()),K.hasValue()&&K.getString()!=="none"){var z=It(K.getString());typeof t.setLineDash!="undefined"?t.setLineDash(z):typeof t.webkitLineDash!="undefined"?t.webkitLineDash=z:typeof t.mozDash!="undefined"&&!(z.length===1&&z[0]===0)&&(t.mozDash=z);var rt=G.getPixels();typeof t.lineDashOffset!="undefined"?t.lineDashOffset=rt:typeof t.webkitLineDashOffset!="undefined"?t.webkitLineDashOffset=rt:typeof t.mozDashOffset!="undefined"&&(t.mozDashOffset=rt)}}if(this.modifiedEmSizeStack=!1,typeof t.font!="undefined"){var at=this.getStyle("font"),H=this.getStyle("font-style"),ct=this.getStyle("font-variant"),vt=this.getStyle("font-weight"),pt=this.getStyle("font-size"),St=this.getStyle("font-family"),Tt=new zt(H.getString(),ct.getString(),vt.getString(),pt.hasValue()?"".concat(pt.getPixels(!0),"px"):"",St.getString(),zt.parse(at.getString(),t.font));H.setValue(Tt.fontStyle),ct.setValue(Tt.fontVariant),vt.setValue(Tt.fontWeight),pt.setValue(Tt.fontSize),St.setValue(Tt.fontFamily),t.font=Tt.toString(),pt.isPixels()&&(this.document.emSize=pt.getPixels(),this.modifiedEmSizeStack=!0)}e||(this.applyEffects(t),t.globalAlpha=this.calculateOpacity())}clearContext(t){super.clearContext(t),this.modifiedEmSizeStack&&this.document.popEmSize()}}class xt extends Oe{constructor(t,e,r){super(t,e,r),this.type="path",this.pathParser=null,this.pathParser=new it(this.getAttribute("d").getString())}path(t){var{pathParser:e}=this,r=new kt;for(e.reset(),t&&t.beginPath();!e.isEnd();)switch(e.next().type){case it.MOVE_TO:this.pathM(t,r);break;case it.LINE_TO:this.pathL(t,r);break;case it.HORIZ_LINE_TO:this.pathH(t,r);break;case it.VERT_LINE_TO:this.pathV(t,r);break;case it.CURVE_TO:this.pathC(t,r);break;case it.SMOOTH_CURVE_TO:this.pathS(t,r);break;case it.QUAD_TO:this.pathQ(t,r);break;case it.SMOOTH_QUAD_TO:this.pathT(t,r);break;case it.ARC:this.pathA(t,r);break;case it.CLOSE_PATH:this.pathZ(t,r);break}return r}getBoundingBox(t){return this.path()}getMarkers(){var{pathParser:t}=this,e=t.getMarkerPoints(),r=t.getMarkerAngles(),i=e.map((a,o)=>[a,r[o]]);return i}renderChildren(t){this.path(t),this.document.screen.mouse.checkPath(this,t);var e=this.getStyle("fill-rule");t.fillStyle!==""&&(e.getString("inherit")!=="inherit"?t.fill(e.getString()):t.fill()),t.strokeStyle!==""&&(this.getAttribute("vector-effect").getString()==="non-scaling-stroke"?(t.save(),t.setTransform(1,0,0,1,0,0),t.stroke(),t.restore()):t.stroke());var r=this.getMarkers();if(r){var i=r.length-1,a=this.getStyle("marker-start"),o=this.getStyle("marker-mid"),s=this.getStyle("marker-end");if(a.isUrlDefinition()){var u=a.getDefinition(),[c,p]=r[0];u.render(t,c,p)}if(o.isUrlDefinition())for(var E=o.getDefinition(),O=1;O1&&(i*=Math.sqrt(O),a*=Math.sqrt(O));var m=(s===u?-1:1)*Math.sqrt((Math.pow(i,2)*Math.pow(a,2)-Math.pow(i,2)*Math.pow(E.y,2)-Math.pow(a,2)*Math.pow(E.x,2))/(Math.pow(i,2)*Math.pow(E.y,2)+Math.pow(a,2)*Math.pow(E.x,2)));isNaN(m)&&(m=0);var D=new Rt(m*i*E.y/a,m*-a*E.x/i),V=new Rt((e.x+p.x)/2+Math.cos(c)*D.x-Math.sin(c)*D.y,(e.y+p.y)/2+Math.sin(c)*D.x+Math.cos(c)*D.y),L=lr([1,0],[(E.x-D.x)/i,(E.y-D.y)/a]),U=[(E.x-D.x)/i,(E.y-D.y)/a],K=[(-E.x-D.x)/i,(-E.y-D.y)/a],G=lr(U,K);return Ke(U,K)<=-1&&(G=Math.PI),Ke(U,K)>=1&&(G=0),{currentPoint:p,rX:i,rY:a,sweepFlag:u,xAxisRotation:c,centp:V,a1:L,ad:G}}pathA(t,e){var{pathParser:r}=this,{currentPoint:i,rX:a,rY:o,sweepFlag:s,xAxisRotation:u,centp:c,a1:p,ad:E}=xt.pathA(r),O=1-s?1:-1,m=p+O*(E/2),D=new Rt(c.x+a*Math.cos(m),c.y+o*Math.sin(m));if(r.addMarkerAngle(D,m-O*Math.PI/2),r.addMarkerAngle(i,m-O*Math.PI),e.addPoint(i.x,i.y),t&&!isNaN(p)&&!isNaN(E)){var V=a>o?a:o,L=a>o?1:a/o,U=a>o?o/a:1;t.translate(c.x,c.y),t.rotate(u),t.scale(L,U),t.arc(0,0,V,p,p+E,!!(1-s)),t.scale(1/L,1/U),t.rotate(-u),t.translate(-c.x,-c.y)}}static pathZ(t){t.current=t.start}pathZ(t,e){xt.pathZ(this.pathParser),t&&e.x1!==e.x2&&e.y1!==e.y2&&t.closePath()}}class xr extends xt{constructor(t,e,r){super(t,e,r),this.type="glyph",this.horizAdvX=this.getAttribute("horiz-adv-x").getNumber(),this.unicode=this.getAttribute("unicode").getString(),this.arabicForm=this.getAttribute("arabic-form").getString()}}class se extends Oe{constructor(t,e,r){super(t,e,new.target===se?!0:r),this.type="text",this.x=0,this.y=0,this.measureCache=-1}setContext(t){var e=arguments.length>1&&arguments[1]!==void 0?arguments[1]:!1;super.setContext(t,e);var r=this.getStyle("dominant-baseline").getTextBaseline()||this.getStyle("alignment-baseline").getTextBaseline();r&&(t.textBaseline=r)}initializeCoordinates(){this.x=0,this.y=0,this.leafTexts=[],this.textChunkStart=0,this.minX=Number.POSITIVE_INFINITY,this.maxX=Number.NEGATIVE_INFINITY}getBoundingBox(t){if(this.type!=="text")return this.getTElementBoundingBox(t);this.initializeCoordinates(),this.adjustChildCoordinatesRecursive(t);var e=null;return this.children.forEach((r,i)=>{var a=this.getChildBoundingBox(t,this,this,i);e?e.addBoundingBox(a):e=a}),e}getFontSize(){var{document:t,parent:e}=this,r=zt.parse(t.ctx.font).fontSize,i=e.getStyle("font-size").getNumber(r);return i}getTElementBoundingBox(t){var e=this.getFontSize();return new kt(this.x,this.y-e,this.x+this.measureText(t),this.y)}getGlyph(t,e,r){var i=e[r],a=null;if(t.isArabic){var o=e.length,s=e[r-1],u=e[r+1],c="isolated";if((r===0||s===" ")&&r0&&s!==" "&&r0&&s!==" "&&(r===o-1||u===" ")&&(c="initial"),typeof t.glyphs[i]!="undefined"){var p=t.glyphs[i];a=p instanceof xr?p:p[c]}}else a=t.glyphs[i];return a||(a=t.missingGlyph),a}getText(){return""}getTextFromNode(t){var e=t||this.node,r=Array.from(e.parentNode.childNodes),i=r.indexOf(e),a=r.length-1,o=Kt(e.textContent||"");return i===0&&(o=ze(o)),i===a&&(o=Ze(o)),o}renderChildren(t){if(this.type!=="text"){this.renderTElementChildren(t);return}this.initializeCoordinates(),this.adjustChildCoordinatesRecursive(t),this.children.forEach((r,i)=>{this.renderChild(t,this,this,i)});var{mouse:e}=this.document.screen;e.isWorking()&&e.checkBoundingBox(this,this.getBoundingBox(t))}renderTElementChildren(t){var{document:e,parent:r}=this,i=this.getText(),a=r.getStyle("font-family").getDefinition();if(a){for(var{unitsPerEm:o}=a.fontFace,s=zt.parse(e.ctx.font),u=r.getStyle("font-size").getNumber(s.fontSize),c=r.getStyle("font-style").getString(s.fontStyle),p=u/o,E=a.isRTL?i.split("").reverse().join(""):i,O=It(r.getAttribute("dx").getString()),m=E.length,D=0;D=this.leafTexts.length)){var t=this.leafTexts[this.textChunkStart],e=t.getStyle("text-anchor").getString("start"),r=!1,i=0;e==="start"&&!r||e==="end"&&r?i=t.x-this.minX:e==="end"&&!r||e==="start"&&r?i=t.x-this.maxX:i=t.x-(this.minX+this.maxX)/2;for(var a=this.textChunkStart;a{this.adjustChildCoordinatesRecursiveCore(t,this,this,r)}),this.applyAnchoring()}adjustChildCoordinatesRecursiveCore(t,e,r,i){var a=r.children[i];a.children.length>0?a.children.forEach((o,s)=>{e.adjustChildCoordinatesRecursiveCore(t,e,a,s)}):this.adjustChildCoordinates(t,e,r,i)}adjustChildCoordinates(t,e,r,i){var a=r.children[i];if(typeof a.measureText!="function")return a;t.save(),a.setContext(t,!0);var o=a.getAttribute("x"),s=a.getAttribute("y"),u=a.getAttribute("dx"),c=a.getAttribute("dy"),p=a.getStyle("font-family").getDefinition(),E=!!p&&p.isRTL;i===0&&(o.hasValue()||o.setValue(a.getInheritedAttribute("x")),s.hasValue()||s.setValue(a.getInheritedAttribute("y")),u.hasValue()||u.setValue(a.getInheritedAttribute("dx")),c.hasValue()||c.setValue(a.getInheritedAttribute("dy")));var O=a.measureText(t);return E&&(e.x-=O),o.hasValue()?(e.applyAnchoring(),a.x=o.getPixels("x"),u.hasValue()&&(a.x+=u.getPixels("x"))):(u.hasValue()&&(e.x+=u.getPixels("x")),a.x=e.x),e.x=a.x,E||(e.x+=O),s.hasValue()?(a.y=s.getPixels("y"),c.hasValue()&&(a.y+=c.getPixels("y"))):(c.hasValue()&&(e.y+=c.getPixels("y")),a.y=e.y),e.y=a.y,e.leafTexts.push(a),e.minX=Math.min(e.minX,a.x,a.x+O),e.maxX=Math.max(e.maxX,a.x,a.x+O),a.clearContext(t),t.restore(),a}getChildBoundingBox(t,e,r,i){var a=r.children[i];if(typeof a.getBoundingBox!="function")return null;var o=a.getBoundingBox(t);return o?(a.children.forEach((s,u)=>{var c=e.getChildBoundingBox(t,e,a,u);o.addBoundingBox(c)}),o):null}renderChild(t,e,r,i){var a=r.children[i];a.render(t),a.children.forEach((o,s)=>{e.renderChild(t,e,a,s)})}measureText(t){var{measureCache:e}=this;if(~e)return e;var r=this.getText(),i=this.measureTargetText(t,r);return this.measureCache=i,i}measureTargetText(t,e){if(!e.length)return 0;var{parent:r}=this,i=r.getStyle("font-family").getDefinition();if(i){for(var a=this.getFontSize(),o=i.isRTL?e.split("").reverse().join(""):e,s=It(r.getAttribute("dx").getString()),u=o.length,c=0,p=0;p0?"":this.getTextFromNode()}getText(){return this.text}}class Ln extends Ye{constructor(){super(...arguments),this.type="textNode"}}class Be extends Oe{constructor(){super(...arguments),this.type="svg",this.root=!1}setContext(t){var e,{document:r}=this,{screen:i,window:a}=r,o=t.canvas;if(i.setDefaults(t),o.style&&typeof t.font!="undefined"&&a&&typeof a.getComputedStyle!="undefined"){t.font=a.getComputedStyle(o).getPropertyValue("font");var s=new q(r,"fontSize",zt.parse(t.font).fontSize);s.hasValue()&&(r.rootEmSize=s.getPixels("y"),r.emSize=r.rootEmSize)}this.getAttribute("x").hasValue()||this.getAttribute("x",!0).setValue(0),this.getAttribute("y").hasValue()||this.getAttribute("y",!0).setValue(0);var{width:u,height:c}=i.viewPort;this.getStyle("width").hasValue()||this.getStyle("width",!0).setValue("100%"),this.getStyle("height").hasValue()||this.getStyle("height",!0).setValue("100%"),this.getStyle("color").hasValue()||this.getStyle("color",!0).setValue("black");var p=this.getAttribute("refX"),E=this.getAttribute("refY"),O=this.getAttribute("viewBox"),m=O.hasValue()?It(O.getString()):null,D=!this.root&&this.getStyle("overflow").getValue("hidden")!=="visible",V=0,L=0,U=0,K=0;m&&(V=m[0],L=m[1]),this.root||(u=this.getStyle("width").getPixels("x"),c=this.getStyle("height").getPixels("y"),this.type==="marker"&&(U=V,K=L,V=0,L=0)),i.viewPort.setCurrent(u,c),this.node&&(!this.parent||((e=this.node.parentNode)===null||e===void 0?void 0:e.nodeName)==="foreignObject")&&this.getStyle("transform",!1,!0).hasValue()&&!this.getStyle("transform-origin",!1,!0).hasValue()&&this.getStyle("transform-origin",!0,!0).setValue("50% 50%"),super.setContext(t),t.translate(this.getAttribute("x").getPixels("x"),this.getAttribute("y").getPixels("y")),m&&(u=m[2],c=m[3]),r.setViewBox({ctx:t,aspectRatio:this.getAttribute("preserveAspectRatio").getString(),width:i.viewPort.width,desiredWidth:u,height:i.viewPort.height,desiredHeight:c,minX:V,minY:L,refX:p.getValue(),refY:E.getValue(),clip:D,clipX:U,clipY:K}),m&&(i.viewPort.removeCurrent(),i.viewPort.setCurrent(u,c))}clearContext(t){super.clearContext(t),this.document.screen.viewPort.removeCurrent()}resize(t){var e=arguments.length>1&&arguments[1]!==void 0?arguments[1]:t,r=arguments.length>2&&arguments[2]!==void 0?arguments[2]:!1,i=this.getAttribute("width",!0),a=this.getAttribute("height",!0),o=this.getAttribute("viewBox"),s=this.getAttribute("style"),u=i.getNumber(0),c=a.getNumber(0);if(r)if(typeof r=="string")this.getAttribute("preserveAspectRatio",!0).setValue(r);else{var p=this.getAttribute("preserveAspectRatio");p.hasValue()&&p.setValue(p.getString().replace(/^\s*(\S.*\S)\s*$/,"$1"))}if(i.setValue(t),a.setValue(e),o.hasValue()||o.setValue("0 0 ".concat(u||t," ").concat(c||e)),s.hasValue()){var E=this.getStyle("width"),O=this.getStyle("height");E.hasValue()&&E.setValue("".concat(t,"px")),O.hasValue()&&O.setValue("".concat(e,"px"))}}}class Er extends xt{constructor(){super(...arguments),this.type="rect"}path(t){var e=this.getAttribute("x").getPixels("x"),r=this.getAttribute("y").getPixels("y"),i=this.getStyle("width",!1,!0).getPixels("x"),a=this.getStyle("height",!1,!0).getPixels("y"),o=this.getAttribute("rx"),s=this.getAttribute("ry"),u=o.getPixels("x"),c=s.getPixels("y");if(o.hasValue()&&!s.hasValue()&&(c=u),s.hasValue()&&!o.hasValue()&&(u=c),u=Math.min(u,i/2),c=Math.min(c,a/2),t){var p=4*((Math.sqrt(2)-1)/3);t.beginPath(),a>0&&i>0&&(t.moveTo(e+u,r),t.lineTo(e+i-u,r),t.bezierCurveTo(e+i-u+p*u,r,e+i,r+c-p*c,e+i,r+c),t.lineTo(e+i,r+a-c),t.bezierCurveTo(e+i,r+a-c+p*c,e+i-u+p*u,r+a,e+i-u,r+a),t.lineTo(e+u,r+a),t.bezierCurveTo(e+u-p*u,r+a,e,r+a-c+p*c,e,r+a-c),t.lineTo(e,r+c),t.bezierCurveTo(e,r+c-p*c,e+u-p*u,r,e+u,r),t.closePath())}return new kt(e,r,e+i,r+a)}getMarkers(){return null}}class Xr extends xt{constructor(){super(...arguments),this.type="circle"}path(t){var e=this.getAttribute("cx").getPixels("x"),r=this.getAttribute("cy").getPixels("y"),i=this.getAttribute("r").getPixels();return t&&i>0&&(t.beginPath(),t.arc(e,r,i,0,Math.PI*2,!1),t.closePath()),new kt(e-i,r-i,e+i,r+i)}getMarkers(){return null}}class Wr extends xt{constructor(){super(...arguments),this.type="ellipse"}path(t){var e=4*((Math.sqrt(2)-1)/3),r=this.getAttribute("rx").getPixels("x"),i=this.getAttribute("ry").getPixels("y"),a=this.getAttribute("cx").getPixels("x"),o=this.getAttribute("cy").getPixels("y");return t&&r>0&&i>0&&(t.beginPath(),t.moveTo(a+r,o),t.bezierCurveTo(a+r,o+e*i,a+e*r,o+i,a,o+i),t.bezierCurveTo(a-e*r,o+i,a-r,o+e*i,a-r,o),t.bezierCurveTo(a-r,o-e*i,a-e*r,o-i,a,o-i),t.bezierCurveTo(a+e*r,o-i,a+r,o-e*i,a+r,o),t.closePath()),new kt(a-r,o-i,a+r,o+i)}getMarkers(){return null}}class Qr extends xt{constructor(){super(...arguments),this.type="line"}getPoints(){return[new Rt(this.getAttribute("x1").getPixels("x"),this.getAttribute("y1").getPixels("y")),new Rt(this.getAttribute("x2").getPixels("x"),this.getAttribute("y2").getPixels("y"))]}path(t){var[{x:e,y:r},{x:i,y:a}]=this.getPoints();return t&&(t.beginPath(),t.moveTo(e,r),t.lineTo(i,a)),new kt(e,r,i,a)}getMarkers(){var[t,e]=this.getPoints(),r=t.angleTo(e);return[[t,r],[e,r]]}}class Tr extends xt{constructor(t,e,r){super(t,e,r),this.type="polyline",this.points=[],this.points=Rt.parsePath(this.getAttribute("points").getString())}path(t){var{points:e}=this,[{x:r,y:i}]=e,a=new kt(r,i);return t&&(t.beginPath(),t.moveTo(r,i)),e.forEach(o=>{var{x:s,y:u}=o;a.addPoint(s,u),t&&t.lineTo(s,u)}),a}getMarkers(){var{points:t}=this,e=t.length-1,r=[];return t.forEach((i,a)=>{a!==e&&r.push([i,i.angleTo(t[a+1])])}),r.length>0&&r.push([t[t.length-1],r[r.length-1][1]]),r}}class Zr extends Tr{constructor(){super(...arguments),this.type="polygon"}path(t){var e=super.path(t),[{x:r,y:i}]=this.points;return t&&(t.lineTo(r,i),t.closePath()),e}}class Kr extends Ct{constructor(){super(...arguments),this.type="pattern"}createPattern(t,e,r){var i=this.getStyle("width").getPixels("x",!0),a=this.getStyle("height").getPixels("y",!0),o=new Be(this.document,null);o.attributes.viewBox=new q(this.document,"viewBox",this.getAttribute("viewBox").getValue()),o.attributes.width=new q(this.document,"width","".concat(i,"px")),o.attributes.height=new q(this.document,"height","".concat(a,"px")),o.attributes.transform=new q(this.document,"transform",this.getAttribute("patternTransform").getValue()),o.children=this.children;var s=this.document.createCanvas(i,a),u=s.getContext("2d"),c=this.getAttribute("x"),p=this.getAttribute("y");c.hasValue()&&p.hasValue()&&u.translate(c.getPixels("x",!0),p.getPixels("y",!0)),r.hasValue()?this.styles["fill-opacity"]=r:Reflect.deleteProperty(this.styles,"fill-opacity");for(var E=-1;E<=1;E++)for(var O=-1;O<=1;O++)u.save(),o.attributes.x=new q(this.document,"x",E*s.width),o.attributes.y=new q(this.document,"y",O*s.height),o.render(u),u.restore();var m=t.createPattern(s,"repeat");return m}}class kr extends Ct{constructor(){super(...arguments),this.type="marker"}render(t,e,r){if(e){var{x:i,y:a}=e,o=this.getAttribute("orient").getString("auto"),s=this.getAttribute("markerUnits").getString("strokeWidth");t.translate(i,a),o==="auto"&&t.rotate(r),s==="strokeWidth"&&t.scale(t.lineWidth,t.lineWidth),t.save();var u=new Be(this.document,null);u.type=this.type,u.attributes.viewBox=new q(this.document,"viewBox",this.getAttribute("viewBox").getValue()),u.attributes.refX=new q(this.document,"refX",this.getAttribute("refX").getValue()),u.attributes.refY=new q(this.document,"refY",this.getAttribute("refY").getValue()),u.attributes.width=new q(this.document,"width",this.getAttribute("markerWidth").getValue()),u.attributes.height=new q(this.document,"height",this.getAttribute("markerHeight").getValue()),u.attributes.overflow=new q(this.document,"overflow",this.getAttribute("overflow").getValue()),u.attributes.fill=new q(this.document,"fill",this.getAttribute("fill").getColor("black")),u.attributes.stroke=new q(this.document,"stroke",this.getAttribute("stroke").getValue("none")),u.children=this.children,u.render(t),t.restore(),s==="strokeWidth"&&t.scale(1/t.lineWidth,1/t.lineWidth),o==="auto"&&t.rotate(-r),t.translate(-i,-a)}}}class Jr extends Ct{constructor(){super(...arguments),this.type="defs"}render(){}}class Je extends Oe{constructor(){super(...arguments),this.type="g"}getBoundingBox(t){var e=new kt;return this.children.forEach(r=>{e.addBoundingBox(r.getBoundingBox(t))}),e}}class Or extends Ct{constructor(t,e,r){super(t,e,r),this.attributesToInherit=["gradientUnits"],this.stops=[];var{stops:i,children:a}=this;a.forEach(o=>{o.type==="stop"&&i.push(o)})}getGradientUnits(){return this.getAttribute("gradientUnits").getString("objectBoundingBox")}createGradient(t,e,r){var i=this;this.getHrefAttribute().hasValue()&&(i=this.getHrefAttribute().getDefinition(),this.inheritStopContainer(i));var{stops:a}=i,o=this.getGradient(t,e);if(!o)return this.addParentOpacity(r,a[a.length-1].color);if(a.forEach(L=>{o.addColorStop(L.offset,this.addParentOpacity(r,L.color))}),this.getAttribute("gradientTransform").hasValue()){var{document:s}=this,{MAX_VIRTUAL_PIXELS:u,viewPort:c}=s.screen,[p]=c.viewPorts,E=new Er(s,null);E.attributes.x=new q(s,"x",-u/3),E.attributes.y=new q(s,"y",-u/3),E.attributes.width=new q(s,"width",u),E.attributes.height=new q(s,"height",u);var O=new Je(s,null);O.attributes.transform=new q(s,"transform",this.getAttribute("gradientTransform").getValue()),O.children=[E];var m=new Be(s,null);m.attributes.x=new q(s,"x",0),m.attributes.y=new q(s,"y",0),m.attributes.width=new q(s,"width",p.width),m.attributes.height=new q(s,"height",p.height),m.children=[O];var D=s.createCanvas(p.width,p.height),V=D.getContext("2d");return V.fillStyle=o,m.render(V),V.createPattern(D,"no-repeat")}return o}inheritStopContainer(t){this.attributesToInherit.forEach(e=>{!this.getAttribute(e).hasValue()&&t.getAttribute(e).hasValue()&&this.getAttribute(e,!0).setValue(t.getAttribute(e).getValue())})}addParentOpacity(t,e){if(t.hasValue()){var r=new q(this.document,"color",e);return r.addOpacity(t).getColor()}return e}}class qr extends Or{constructor(t,e,r){super(t,e,r),this.type="linearGradient",this.attributesToInherit.push("x1","y1","x2","y2")}getGradient(t,e){var r=this.getGradientUnits()==="objectBoundingBox",i=r?e.getBoundingBox(t):null;if(r&&!i)return null;!this.getAttribute("x1").hasValue()&&!this.getAttribute("y1").hasValue()&&!this.getAttribute("x2").hasValue()&&!this.getAttribute("y2").hasValue()&&(this.getAttribute("x1",!0).setValue(0),this.getAttribute("y1",!0).setValue(0),this.getAttribute("x2",!0).setValue(1),this.getAttribute("y2",!0).setValue(0));var a=r?i.x+i.width*this.getAttribute("x1").getNumber():this.getAttribute("x1").getPixels("x"),o=r?i.y+i.height*this.getAttribute("y1").getNumber():this.getAttribute("y1").getPixels("y"),s=r?i.x+i.width*this.getAttribute("x2").getNumber():this.getAttribute("x2").getPixels("x"),u=r?i.y+i.height*this.getAttribute("y2").getNumber():this.getAttribute("y2").getPixels("y");return a===s&&o===u?null:t.createLinearGradient(a,o,s,u)}}class _r extends Or{constructor(t,e,r){super(t,e,r),this.type="radialGradient",this.attributesToInherit.push("cx","cy","r","fx","fy","fr")}getGradient(t,e){var r=this.getGradientUnits()==="objectBoundingBox",i=e.getBoundingBox(t);if(r&&!i)return null;this.getAttribute("cx").hasValue()||this.getAttribute("cx",!0).setValue("50%"),this.getAttribute("cy").hasValue()||this.getAttribute("cy",!0).setValue("50%"),this.getAttribute("r").hasValue()||this.getAttribute("r",!0).setValue("50%");var a=r?i.x+i.width*this.getAttribute("cx").getNumber():this.getAttribute("cx").getPixels("x"),o=r?i.y+i.height*this.getAttribute("cy").getNumber():this.getAttribute("cy").getPixels("y"),s=a,u=o;this.getAttribute("fx").hasValue()&&(s=r?i.x+i.width*this.getAttribute("fx").getNumber():this.getAttribute("fx").getPixels("x")),this.getAttribute("fy").hasValue()&&(u=r?i.y+i.height*this.getAttribute("fy").getNumber():this.getAttribute("fy").getPixels("y"));var c=r?(i.width+i.height)/2*this.getAttribute("r").getNumber():this.getAttribute("r").getPixels(),p=this.getAttribute("fr").getPixels();return t.createRadialGradient(s,u,p,a,o,c)}}class tn extends Ct{constructor(t,e,r){super(t,e,r),this.type="stop";var i=Math.max(0,Math.min(1,this.getAttribute("offset").getNumber())),a=this.getStyle("stop-opacity"),o=this.getStyle("stop-color",!0);o.getString()===""&&o.setValue("#000"),a.hasValue()&&(o=o.addOpacity(a)),this.offset=i,this.color=o.getColor()}}class qe extends Ct{constructor(t,e,r){super(t,e,r),this.type="animate",this.duration=0,this.initialValue=null,this.initialUnits="",this.removed=!1,this.frozen=!1,t.screen.animations.push(this),this.begin=this.getAttribute("begin").getMilliseconds(),this.maxDuration=this.begin+this.getAttribute("dur").getMilliseconds(),this.from=this.getAttribute("from"),this.to=this.getAttribute("to"),this.values=new q(t,"values",null);var i=this.getAttribute("values");i.hasValue()&&this.values.setValue(i.getString().split(";"))}getProperty(){var t=this.getAttribute("attributeType").getString(),e=this.getAttribute("attributeName").getString();return t==="CSS"?this.parent.getStyle(e,!0):this.parent.getAttribute(e,!0)}calcValue(){var{initialUnits:t}=this,{progress:e,from:r,to:i}=this.getProgress(),a=r.getNumber()+(i.getNumber()-r.getNumber())*e;return t==="%"&&(a*=100),"".concat(a).concat(t)}update(t){var{parent:e}=this,r=this.getProperty();if(this.initialValue||(this.initialValue=r.getString(),this.initialUnits=r.getUnits()),this.duration>this.maxDuration){var i=this.getAttribute("fill").getString("remove");if(this.getAttribute("repeatCount").getString()==="indefinite"||this.getAttribute("repeatDur").getString()==="indefinite")this.duration=0;else if(i==="freeze"&&!this.frozen)this.frozen=!0,e.animationFrozen=!0,e.animationFrozenValue=r.getString();else if(i==="remove"&&!this.removed)return this.removed=!0,r.setValue(e.animationFrozen?e.animationFrozenValue:this.initialValue),!0;return!1}this.duration+=t;var a=!1;if(this.begin{var c=a[u];return s+(c-s)*t}).join(" ");return o}}class nn extends Ct{constructor(t,e,r){super(t,e,r),this.type="font",this.glyphs=Object.create(null),this.horizAdvX=this.getAttribute("horiz-adv-x").getNumber();var{definitions:i}=t,{children:a}=this;for(var o of a)switch(o.type){case"font-face":{this.fontFace=o;var s=o.getStyle("font-family");s.hasValue()&&(i[s.getString()]=this);break}case"missing-glyph":this.missingGlyph=o;break;case"glyph":{var u=o;u.arabicForm?(this.isRTL=!0,this.isArabic=!0,typeof this.glyphs[u.unicode]=="undefined"&&(this.glyphs[u.unicode]=Object.create(null)),this.glyphs[u.unicode][u.arabicForm]=u):this.glyphs[u.unicode]=u;break}}}render(){}}class an extends Ct{constructor(t,e,r){super(t,e,r),this.type="font-face",this.ascent=this.getAttribute("ascent").getNumber(),this.descent=this.getAttribute("descent").getNumber(),this.unitsPerEm=this.getAttribute("units-per-em").getNumber()}}class sn extends xt{constructor(){super(...arguments),this.type="missing-glyph",this.horizAdvX=0}}class on extends se{constructor(){super(...arguments),this.type="tref"}getText(){var t=this.getHrefAttribute().getDefinition();if(t){var e=t.children[0];if(e)return e.getText()}return""}}class un extends se{constructor(t,e,r){super(t,e,r),this.type="a";var{childNodes:i}=e,a=i[0],o=i.length>0&&Array.from(i).every(s=>s.nodeType===3);this.hasText=o,this.text=o?this.getTextFromNode(a):""}getText(){return this.text}renderChildren(t){if(this.hasText){super.renderChildren(t);var{document:e,x:r,y:i}=this,{mouse:a}=e.screen,o=new q(e,"fontSize",zt.parse(e.ctx.font).fontSize);a.isWorking()&&a.checkBoundingBox(this,new kt(r,i-o.getPixels("y"),r+this.measureText(t),i))}else if(this.children.length>0){var s=new Je(this.document,null);s.children=this.children,s.parent=this,s.render(t)}}onClick(){var{window:t}=this.document;t&&t.open(this.getHrefAttribute().getString())}onMouseMove(){var t=this.document.ctx;t.canvas.style.cursor="pointer"}}function ln(h,t){var e=Object.keys(h);if(Object.getOwnPropertySymbols){var r=Object.getOwnPropertySymbols(h);t&&(r=r.filter(function(i){return Object.getOwnPropertyDescriptor(h,i).enumerable})),e.push.apply(e,r)}return e}function _e(h){for(var t=1;t{var{type:i,points:a}=r;switch(i){case it.LINE_TO:t&&t.lineTo(a[0],a[1]);break;case it.MOVE_TO:t&&t.moveTo(a[0],a[1]);break;case it.CURVE_TO:t&&t.bezierCurveTo(a[0],a[1],a[2],a[3],a[4],a[5]);break;case it.QUAD_TO:t&&t.quadraticCurveTo(a[0],a[1],a[2],a[3]);break;case it.ARC:{var[o,s,u,c,p,E,O,m]=a,D=u>c?u:c,V=u>c?1:u/c,L=u>c?c/u:1;t&&(t.translate(o,s),t.rotate(O),t.scale(V,L),t.arc(0,0,D,p,p+E,!!(1-m)),t.scale(1/V,1/L),t.rotate(-O),t.translate(-o,-s));break}case it.CLOSE_PATH:t&&t.closePath();break}})}renderChildren(t){this.setTextData(t),t.save();var e=this.parent.getStyle("text-decoration").getString(),r=this.getFontSize(),{glyphInfo:i}=this,a=t.fillStyle;e==="underline"&&t.beginPath(),i.forEach((o,s)=>{var{p0:u,p1:c,rotation:p,text:E}=o;t.save(),t.translate(u.x,u.y),t.rotate(p),t.fillStyle&&t.fillText(E,0,0),t.strokeStyle&&t.strokeText(E,0,0),t.restore(),e==="underline"&&(s===0&&t.moveTo(u.x,u.y+r/8),t.lineTo(c.x,c.y+r/5))}),e==="underline"&&(t.lineWidth=r/20,t.strokeStyle=a,t.stroke(),t.closePath()),t.restore()}getLetterSpacingAt(){var t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:0;return this.letterSpacingCache[t]||0}findSegmentToFitChar(t,e,r,i,a,o,s,u,c){var p=o,E=this.measureText(t,u);u===" "&&e==="justify"&&r-1&&(p+=this.getLetterSpacingAt(c));var O=this.textHeight/20,m=this.getEquidistantPointOnPath(p,O,0),D=this.getEquidistantPointOnPath(p+E,O,0),V={p0:m,p1:D},L=m&&D?Math.atan2(D.y-m.y,D.x-m.x):0;if(s){var U=Math.cos(Math.PI/2+L)*s,K=Math.cos(-L)*s;V.p0=_e(_e({},m),{},{x:m.x+U,y:m.y+K}),V.p1=_e(_e({},D),{},{x:D.x+U,y:D.y+K})}return p+=E,{offset:p,segment:V,rotation:L}}measureText(t,e){var{measuresCache:r}=this,i=e||this.getText();if(r.has(i))return r.get(i);var a=this.measureTargetText(t,i);return r.set(i,a),a}setTextData(t){if(!this.glyphInfo){var e=this.getText(),r=e.split(""),i=e.split(" ").length-1,a=this.parent.getAttribute("dx").split().map(z=>z.getPixels("x")),o=this.parent.getAttribute("dy").getPixels("y"),s=this.parent.getStyle("text-anchor").getString("start"),u=this.getStyle("letter-spacing"),c=this.parent.getStyle("letter-spacing"),p=0;!u.hasValue()||u.getValue()==="inherit"?p=c.getPixels():u.hasValue()&&u.getValue()!=="initial"&&u.getValue()!=="unset"&&(p=u.getPixels());var E=[],O=e.length;this.letterSpacingCache=E;for(var m=0;mat===0?0:z+rt||0,0),V=this.measureText(t),L=Math.max(V+D,0);this.textWidth=V,this.textHeight=this.getFontSize(),this.glyphInfo=[];var U=this.getPathLength(),K=this.getStyle("startOffset").getNumber(0)*U,G=0;(s==="middle"||s==="center")&&(G=-L/2),(s==="end"||s==="right")&&(G=-L),G+=K,r.forEach((z,rt)=>{var{offset:at,segment:H,rotation:ct}=this.findSegmentToFitChar(t,s,L,U,i,G,o,z,rt);G=at,!(!H.p0||!H.p1)&&this.glyphInfo.push({text:r[rt],p0:H.p0,p1:H.p1,rotation:ct})})}}parsePathData(t){if(this.pathLength=-1,!t)return[];var e=[],{pathParser:r}=t;for(r.reset();!r.isEnd();){var{current:i}=r,a=i?i.x:0,o=i?i.y:0,s=r.next(),u=s.type,c=[];switch(s.type){case it.MOVE_TO:this.pathM(r,c);break;case it.LINE_TO:u=this.pathL(r,c);break;case it.HORIZ_LINE_TO:u=this.pathH(r,c);break;case it.VERT_LINE_TO:u=this.pathV(r,c);break;case it.CURVE_TO:this.pathC(r,c);break;case it.SMOOTH_CURVE_TO:u=this.pathS(r,c);break;case it.QUAD_TO:this.pathQ(r,c);break;case it.SMOOTH_QUAD_TO:u=this.pathT(r,c);break;case it.ARC:c=this.pathA(r);break;case it.CLOSE_PATH:xt.pathZ(r);break}s.type!==it.CLOSE_PATH?e.push({type:u,points:c,start:{x:a,y:o},pathLength:this.calcLength(a,o,u,c)}):e.push({type:it.CLOSE_PATH,points:[],pathLength:0})}return e}pathM(t,e){var{x:r,y:i}=xt.pathM(t).point;e.push(r,i)}pathL(t,e){var{x:r,y:i}=xt.pathL(t).point;return e.push(r,i),it.LINE_TO}pathH(t,e){var{x:r,y:i}=xt.pathH(t).point;return e.push(r,i),it.LINE_TO}pathV(t,e){var{x:r,y:i}=xt.pathV(t).point;return e.push(r,i),it.LINE_TO}pathC(t,e){var{point:r,controlPoint:i,currentPoint:a}=xt.pathC(t);e.push(r.x,r.y,i.x,i.y,a.x,a.y)}pathS(t,e){var{point:r,controlPoint:i,currentPoint:a}=xt.pathS(t);return e.push(r.x,r.y,i.x,i.y,a.x,a.y),it.CURVE_TO}pathQ(t,e){var{controlPoint:r,currentPoint:i}=xt.pathQ(t);e.push(r.x,r.y,i.x,i.y)}pathT(t,e){var{controlPoint:r,currentPoint:i}=xt.pathT(t);return e.push(r.x,r.y,i.x,i.y),it.QUAD_TO}pathA(t){var{rX:e,rY:r,sweepFlag:i,xAxisRotation:a,centp:o,a1:s,ad:u}=xt.pathA(t);return i===0&&u>0&&(u-=2*Math.PI),i===1&&u<0&&(u+=2*Math.PI),[o.x,o.y,e,r,s,u,a,i]}calcLength(t,e,r,i){var a=0,o=null,s=null,u=0;switch(r){case it.LINE_TO:return this.getLineLength(t,e,i[0],i[1]);case it.CURVE_TO:for(a=0,o=this.getPointOnCubicBezier(0,t,e,i[0],i[1],i[2],i[3],i[4],i[5]),u=.01;u<=1;u+=.01)s=this.getPointOnCubicBezier(u,t,e,i[0],i[1],i[2],i[3],i[4],i[5]),a+=this.getLineLength(o.x,o.y,s.x,s.y),o=s;return a;case it.QUAD_TO:for(a=0,o=this.getPointOnQuadraticBezier(0,t,e,i[0],i[1],i[2],i[3]),u=.01;u<=1;u+=.01)s=this.getPointOnQuadraticBezier(u,t,e,i[0],i[1],i[2],i[3]),a+=this.getLineLength(o.x,o.y,s.x,s.y),o=s;return a;case it.ARC:{a=0;var c=i[4],p=i[5],E=i[4]+p,O=Math.PI/180;if(Math.abs(c-E)E;u-=O)s=this.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],u,0),a+=this.getLineLength(o.x,o.y,s.x,s.y),o=s;else for(u=c+O;u5&&arguments[5]!==void 0?arguments[5]:e,s=arguments.length>6&&arguments[6]!==void 0?arguments[6]:r,u=(a-r)/(i-e+ae),c=Math.sqrt(t*t/(1+u*u));ie)return 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t=this.commands[++this.i];return this.previousCommand=this.command,this.command=t,t}getPoint(){var t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:"x",e=arguments.length>1&&arguments[1]!==void 0?arguments[1]:"y",r=new Rt(this.command[t],this.command[e]);return this.makeAbsolute(r)}getAsControlPoint(t,e){var r=this.getPoint(t,e);return this.control=r,r}getAsCurrentPoint(t,e){var r=this.getPoint(t,e);return this.current=r,r}getReflectedControlPoint(){var t=this.previousCommand.type;if(t!==N.CURVE_TO&&t!==N.SMOOTH_CURVE_TO&&t!==N.QUAD_TO&&t!==N.SMOOTH_QUAD_TO)return this.current;var{current:{x:e,y:r},control:{x:i,y:a}}=this,o=new Rt(2*e-i,2*r-a);return o}makeAbsolute(t){if(this.command.relative){var{x:e,y:r}=this.current;t.x+=e,t.y+=r}return t}addMarker(t,e,r){var{points:i,angles:a}=this;r&&a.length>0&&!a[a.length-1]&&(a[a.length-1]=i[i.length-1].angleTo(r)),this.addMarkerAngle(t,e?e.angleTo(t):null)}addMarkerAngle(t,e){this.points.push(t),this.angles.push(e)}getMarkerPoints(){return this.points}getMarkerAngles(){for(var{angles:t}=this,e=t.length,r=0;r1&&arguments[1]!==void 0?arguments[1]:!1;if(!e){var r=this.getStyle("fill"),i=this.getStyle("fill-opacity"),a=this.getStyle("stroke"),o=this.getStyle("stroke-opacity");if(r.isUrlDefinition()){var s=r.getFillStyleDefinition(this,i);s&&(t.fillStyle=s)}else if(r.hasValue()){r.getString()==="currentColor"&&r.setValue(this.getStyle("color").getColor());var u=r.getColor();u!=="inherit"&&(t.fillStyle=u==="none"?"rgba(0,0,0,0)":u)}if(i.hasValue()){var c=new q(this.document,"fill",t.fillStyle).addOpacity(i).getColor();t.fillStyle=c}if(a.isUrlDefinition()){var p=a.getFillStyleDefinition(this,o);p&&(t.strokeStyle=p)}else if(a.hasValue()){a.getString()==="currentColor"&&a.setValue(this.getStyle("color").getColor());var E=a.getString();E!=="inherit"&&(t.strokeStyle=E==="none"?"rgba(0,0,0,0)":E)}if(o.hasValue()){var O=new q(this.document,"stroke",t.strokeStyle).addOpacity(o).getString();t.strokeStyle=O}var m=this.getStyle("stroke-width");if(m.hasValue()){var D=m.getPixels();t.lineWidth=D||ae}var V=this.getStyle("stroke-linecap"),L=this.getStyle("stroke-linejoin"),U=this.getStyle("stroke-miterlimit"),K=this.getStyle("stroke-dasharray"),G=this.getStyle("stroke-dashoffset");if(V.hasValue()&&(t.lineCap=V.getString()),L.hasValue()&&(t.lineJoin=L.getString()),U.hasValue()&&(t.miterLimit=U.getNumber()),K.hasValue()&&K.getString()!=="none"){var z=It(K.getString());typeof t.setLineDash!="undefined"?t.setLineDash(z):typeof t.webkitLineDash!="undefined"?t.webkitLineDash=z:typeof t.mozDash!="undefined"&&!(z.length===1&&z[0]===0)&&(t.mozDash=z);var rt=G.getPixels();typeof t.lineDashOffset!="undefined"?t.lineDashOffset=rt:typeof t.webkitLineDashOffset!="undefined"?t.webkitLineDashOffset=rt:typeof t.mozDashOffset!="undefined"&&(t.mozDashOffset=rt)}}if(this.modifiedEmSizeStack=!1,typeof t.font!="undefined"){var at=this.getStyle("font"),H=this.getStyle("font-style"),ct=this.getStyle("font-variant"),vt=this.getStyle("font-weight"),pt=this.getStyle("font-size"),St=this.getStyle("font-family"),Tt=new zt(H.getString(),ct.getString(),vt.getString(),pt.hasValue()?"".concat(pt.getPixels(!0),"px"):"",St.getString(),zt.parse(at.getString(),t.font));H.setValue(Tt.fontStyle),ct.setValue(Tt.fontVariant),vt.setValue(Tt.fontWeight),pt.setValue(Tt.fontSize),St.setValue(Tt.fontFamily),t.font=Tt.toString(),pt.isPixels()&&(this.document.emSize=pt.getPixels(),this.modifiedEmSizeStack=!0)}e||(this.applyEffects(t),t.globalAlpha=this.calculateOpacity())}clearContext(t){super.clearContext(t),this.modifiedEmSizeStack&&this.document.popEmSize()}}class xt extends Oe{constructor(t,e,r){super(t,e,r),this.type="path",this.pathParser=null,this.pathParser=new it(this.getAttribute("d").getString())}path(t){var{pathParser:e}=this,r=new kt;for(e.reset(),t&&t.beginPath();!e.isEnd();)switch(e.next().type){case it.MOVE_TO:this.pathM(t,r);break;case it.LINE_TO:this.pathL(t,r);break;case it.HORIZ_LINE_TO:this.pathH(t,r);break;case it.VERT_LINE_TO:this.pathV(t,r);break;case it.CURVE_TO:this.pathC(t,r);break;case it.SMOOTH_CURVE_TO:this.pathS(t,r);break;case it.QUAD_TO:this.pathQ(t,r);break;case it.SMOOTH_QUAD_TO:this.pathT(t,r);break;case it.ARC:this.pathA(t,r);break;case it.CLOSE_PATH:this.pathZ(t,r);break}return r}getBoundingBox(t){return this.path()}getMarkers(){var{pathParser:t}=this,e=t.getMarkerPoints(),r=t.getMarkerAngles(),i=e.map((a,o)=>[a,r[o]]);return i}renderChildren(t){this.path(t),this.document.screen.mouse.checkPath(this,t);var e=this.getStyle("fill-rule");t.fillStyle!==""&&(e.getString("inherit")!=="inherit"?t.fill(e.getString()):t.fill()),t.strokeStyle!==""&&(this.getAttribute("vector-effect").getString()==="non-scaling-stroke"?(t.save(),t.setTransform(1,0,0,1,0,0),t.stroke(),t.restore()):t.stroke());var r=this.getMarkers();if(r){var i=r.length-1,a=this.getStyle("marker-start"),o=this.getStyle("marker-mid"),s=this.getStyle("marker-end");if(a.isUrlDefinition()){var u=a.getDefinition(),[c,p]=r[0];u.render(t,c,p)}if(o.isUrlDefinition())for(var E=o.getDefinition(),O=1;O1&&(i*=Math.sqrt(O),a*=Math.sqrt(O));var m=(s===u?-1:1)*Math.sqrt((Math.pow(i,2)*Math.pow(a,2)-Math.pow(i,2)*Math.pow(E.y,2)-Math.pow(a,2)*Math.pow(E.x,2))/(Math.pow(i,2)*Math.pow(E.y,2)+Math.pow(a,2)*Math.pow(E.x,2)));isNaN(m)&&(m=0);var D=new Rt(m*i*E.y/a,m*-a*E.x/i),V=new Rt((e.x+p.x)/2+Math.cos(c)*D.x-Math.sin(c)*D.y,(e.y+p.y)/2+Math.sin(c)*D.x+Math.cos(c)*D.y),L=lr([1,0],[(E.x-D.x)/i,(E.y-D.y)/a]),U=[(E.x-D.x)/i,(E.y-D.y)/a],K=[(-E.x-D.x)/i,(-E.y-D.y)/a],G=lr(U,K);return Ke(U,K)<=-1&&(G=Math.PI),Ke(U,K)>=1&&(G=0),{currentPoint:p,rX:i,rY:a,sweepFlag:u,xAxisRotation:c,centp:V,a1:L,ad:G}}pathA(t,e){var{pathParser:r}=this,{currentPoint:i,rX:a,rY:o,sweepFlag:s,xAxisRotation:u,centp:c,a1:p,ad:E}=xt.pathA(r),O=1-s?1:-1,m=p+O*(E/2),D=new Rt(c.x+a*Math.cos(m),c.y+o*Math.sin(m));if(r.addMarkerAngle(D,m-O*Math.PI/2),r.addMarkerAngle(i,m-O*Math.PI),e.addPoint(i.x,i.y),t&&!isNaN(p)&&!isNaN(E)){var V=a>o?a:o,L=a>o?1:a/o,U=a>o?o/a:1;t.translate(c.x,c.y),t.rotate(u),t.scale(L,U),t.arc(0,0,V,p,p+E,!!(1-s)),t.scale(1/L,1/U),t.rotate(-u),t.translate(-c.x,-c.y)}}static pathZ(t){t.current=t.start}pathZ(t,e){xt.pathZ(this.pathParser),t&&e.x1!==e.x2&&e.y1!==e.y2&&t.closePath()}}class xr extends xt{constructor(t,e,r){super(t,e,r),this.type="glyph",this.horizAdvX=this.getAttribute("horiz-adv-x").getNumber(),this.unicode=this.getAttribute("unicode").getString(),this.arabicForm=this.getAttribute("arabic-form").getString()}}class se extends Oe{constructor(t,e,r){super(t,e,new.target===se?!0:r),this.type="text",this.x=0,this.y=0,this.measureCache=-1}setContext(t){var e=arguments.length>1&&arguments[1]!==void 0?arguments[1]:!1;super.setContext(t,e);var r=this.getStyle("dominant-baseline").getTextBaseline()||this.getStyle("alignment-baseline").getTextBaseline();r&&(t.textBaseline=r)}initializeCoordinates(){this.x=0,this.y=0,this.leafTexts=[],this.textChunkStart=0,this.minX=Number.POSITIVE_INFINITY,this.maxX=Number.NEGATIVE_INFINITY}getBoundingBox(t){if(this.type!=="text")return this.getTElementBoundingBox(t);this.initializeCoordinates(),this.adjustChildCoordinatesRecursive(t);var e=null;return this.children.forEach((r,i)=>{var a=this.getChildBoundingBox(t,this,this,i);e?e.addBoundingBox(a):e=a}),e}getFontSize(){var{document:t,parent:e}=this,r=zt.parse(t.ctx.font).fontSize,i=e.getStyle("font-size").getNumber(r);return i}getTElementBoundingBox(t){var e=this.getFontSize();return new kt(this.x,this.y-e,this.x+this.measureText(t),this.y)}getGlyph(t,e,r){var i=e[r],a=null;if(t.isArabic){var o=e.length,s=e[r-1],u=e[r+1],c="isolated";if((r===0||s===" ")&&r0&&s!==" "&&r0&&s!==" "&&(r===o-1||u===" ")&&(c="initial"),typeof t.glyphs[i]!="undefined"){var p=t.glyphs[i];a=p instanceof xr?p:p[c]}}else a=t.glyphs[i];return a||(a=t.missingGlyph),a}getText(){return""}getTextFromNode(t){var e=t||this.node,r=Array.from(e.parentNode.childNodes),i=r.indexOf(e),a=r.length-1,o=Kt(e.textContent||"");return i===0&&(o=ze(o)),i===a&&(o=Ze(o)),o}renderChildren(t){if(this.type!=="text"){this.renderTElementChildren(t);return}this.initializeCoordinates(),this.adjustChildCoordinatesRecursive(t),this.children.forEach((r,i)=>{this.renderChild(t,this,this,i)});var{mouse:e}=this.document.screen;e.isWorking()&&e.checkBoundingBox(this,this.getBoundingBox(t))}renderTElementChildren(t){var{document:e,parent:r}=this,i=this.getText(),a=r.getStyle("font-family").getDefinition();if(a){for(var{unitsPerEm:o}=a.fontFace,s=zt.parse(e.ctx.font),u=r.getStyle("font-size").getNumber(s.fontSize),c=r.getStyle("font-style").getString(s.fontStyle),p=u/o,E=a.isRTL?i.split("").reverse().join(""):i,O=It(r.getAttribute("dx").getString()),m=E.length,D=0;D=this.leafTexts.length)){var t=this.leafTexts[this.textChunkStart],e=t.getStyle("text-anchor").getString("start"),r=!1,i=0;e==="start"&&!r||e==="end"&&r?i=t.x-this.minX:e==="end"&&!r||e==="start"&&r?i=t.x-this.maxX:i=t.x-(this.minX+this.maxX)/2;for(var a=this.textChunkStart;a{this.adjustChildCoordinatesRecursiveCore(t,this,this,r)}),this.applyAnchoring()}adjustChildCoordinatesRecursiveCore(t,e,r,i){var a=r.children[i];a.children.length>0?a.children.forEach((o,s)=>{e.adjustChildCoordinatesRecursiveCore(t,e,a,s)}):this.adjustChildCoordinates(t,e,r,i)}adjustChildCoordinates(t,e,r,i){var a=r.children[i];if(typeof a.measureText!="function")return a;t.save(),a.setContext(t,!0);var o=a.getAttribute("x"),s=a.getAttribute("y"),u=a.getAttribute("dx"),c=a.getAttribute("dy"),p=a.getStyle("font-family").getDefinition(),E=!!p&&p.isRTL;i===0&&(o.hasValue()||o.setValue(a.getInheritedAttribute("x")),s.hasValue()||s.setValue(a.getInheritedAttribute("y")),u.hasValue()||u.setValue(a.getInheritedAttribute("dx")),c.hasValue()||c.setValue(a.getInheritedAttribute("dy")));var O=a.measureText(t);return E&&(e.x-=O),o.hasValue()?(e.applyAnchoring(),a.x=o.getPixels("x"),u.hasValue()&&(a.x+=u.getPixels("x"))):(u.hasValue()&&(e.x+=u.getPixels("x")),a.x=e.x),e.x=a.x,E||(e.x+=O),s.hasValue()?(a.y=s.getPixels("y"),c.hasValue()&&(a.y+=c.getPixels("y"))):(c.hasValue()&&(e.y+=c.getPixels("y")),a.y=e.y),e.y=a.y,e.leafTexts.push(a),e.minX=Math.min(e.minX,a.x,a.x+O),e.maxX=Math.max(e.maxX,a.x,a.x+O),a.clearContext(t),t.restore(),a}getChildBoundingBox(t,e,r,i){var a=r.children[i];if(typeof a.getBoundingBox!="function")return null;var o=a.getBoundingBox(t);return o?(a.children.forEach((s,u)=>{var c=e.getChildBoundingBox(t,e,a,u);o.addBoundingBox(c)}),o):null}renderChild(t,e,r,i){var a=r.children[i];a.render(t),a.children.forEach((o,s)=>{e.renderChild(t,e,a,s)})}measureText(t){var{measureCache:e}=this;if(~e)return e;var r=this.getText(),i=this.measureTargetText(t,r);return this.measureCache=i,i}measureTargetText(t,e){if(!e.length)return 0;var{parent:r}=this,i=r.getStyle("font-family").getDefinition();if(i){for(var a=this.getFontSize(),o=i.isRTL?e.split("").reverse().join(""):e,s=It(r.getAttribute("dx").getString()),u=o.length,c=0,p=0;p0?"":this.getTextFromNode()}getText(){return this.text}}class Ln extends Ye{constructor(){super(...arguments),this.type="textNode"}}class Be extends Oe{constructor(){super(...arguments),this.type="svg",this.root=!1}setContext(t){var e,{document:r}=this,{screen:i,window:a}=r,o=t.canvas;if(i.setDefaults(t),o.style&&typeof t.font!="undefined"&&a&&typeof a.getComputedStyle!="undefined"){t.font=a.getComputedStyle(o).getPropertyValue("font");var s=new q(r,"fontSize",zt.parse(t.font).fontSize);s.hasValue()&&(r.rootEmSize=s.getPixels("y"),r.emSize=r.rootEmSize)}this.getAttribute("x").hasValue()||this.getAttribute("x",!0).setValue(0),this.getAttribute("y").hasValue()||this.getAttribute("y",!0).setValue(0);var{width:u,height:c}=i.viewPort;this.getStyle("width").hasValue()||this.getStyle("width",!0).setValue("100%"),this.getStyle("height").hasValue()||this.getStyle("height",!0).setValue("100%"),this.getStyle("color").hasValue()||this.getStyle("color",!0).setValue("black");var p=this.getAttribute("refX"),E=this.getAttribute("refY"),O=this.getAttribute("viewBox"),m=O.hasValue()?It(O.getString()):null,D=!this.root&&this.getStyle("overflow").getValue("hidden")!=="visible",V=0,L=0,U=0,K=0;m&&(V=m[0],L=m[1]),this.root||(u=this.getStyle("width").getPixels("x"),c=this.getStyle("height").getPixels("y"),this.type==="marker"&&(U=V,K=L,V=0,L=0)),i.viewPort.setCurrent(u,c),this.node&&(!this.parent||((e=this.node.parentNode)===null||e===void 0?void 0:e.nodeName)==="foreignObject")&&this.getStyle("transform",!1,!0).hasValue()&&!this.getStyle("transform-origin",!1,!0).hasValue()&&this.getStyle("transform-origin",!0,!0).setValue("50% 50%"),super.setContext(t),t.translate(this.getAttribute("x").getPixels("x"),this.getAttribute("y").getPixels("y")),m&&(u=m[2],c=m[3]),r.setViewBox({ctx:t,aspectRatio:this.getAttribute("preserveAspectRatio").getString(),width:i.viewPort.width,desiredWidth:u,height:i.viewPort.height,desiredHeight:c,minX:V,minY:L,refX:p.getValue(),refY:E.getValue(),clip:D,clipX:U,clipY:K}),m&&(i.viewPort.removeCurrent(),i.viewPort.setCurrent(u,c))}clearContext(t){super.clearContext(t),this.document.screen.viewPort.removeCurrent()}resize(t){var e=arguments.length>1&&arguments[1]!==void 0?arguments[1]:t,r=arguments.length>2&&arguments[2]!==void 0?arguments[2]:!1,i=this.getAttribute("width",!0),a=this.getAttribute("height",!0),o=this.getAttribute("viewBox"),s=this.getAttribute("style"),u=i.getNumber(0),c=a.getNumber(0);if(r)if(typeof r=="string")this.getAttribute("preserveAspectRatio",!0).setValue(r);else{var p=this.getAttribute("preserveAspectRatio");p.hasValue()&&p.setValue(p.getString().replace(/^\s*(\S.*\S)\s*$/,"$1"))}if(i.setValue(t),a.setValue(e),o.hasValue()||o.setValue("0 0 ".concat(u||t," ").concat(c||e)),s.hasValue()){var E=this.getStyle("width"),O=this.getStyle("height");E.hasValue()&&E.setValue("".concat(t,"px")),O.hasValue()&&O.setValue("".concat(e,"px"))}}}class Er extends xt{constructor(){super(...arguments),this.type="rect"}path(t){var e=this.getAttribute("x").getPixels("x"),r=this.getAttribute("y").getPixels("y"),i=this.getStyle("width",!1,!0).getPixels("x"),a=this.getStyle("height",!1,!0).getPixels("y"),o=this.getAttribute("rx"),s=this.getAttribute("ry"),u=o.getPixels("x"),c=s.getPixels("y");if(o.hasValue()&&!s.hasValue()&&(c=u),s.hasValue()&&!o.hasValue()&&(u=c),u=Math.min(u,i/2),c=Math.min(c,a/2),t){var p=4*((Math.sqrt(2)-1)/3);t.beginPath(),a>0&&i>0&&(t.moveTo(e+u,r),t.lineTo(e+i-u,r),t.bezierCurveTo(e+i-u+p*u,r,e+i,r+c-p*c,e+i,r+c),t.lineTo(e+i,r+a-c),t.bezierCurveTo(e+i,r+a-c+p*c,e+i-u+p*u,r+a,e+i-u,r+a),t.lineTo(e+u,r+a),t.bezierCurveTo(e+u-p*u,r+a,e,r+a-c+p*c,e,r+a-c),t.lineTo(e,r+c),t.bezierCurveTo(e,r+c-p*c,e+u-p*u,r,e+u,r),t.closePath())}return new kt(e,r,e+i,r+a)}getMarkers(){return null}}class Xr extends xt{constructor(){super(...arguments),this.type="circle"}path(t){var e=this.getAttribute("cx").getPixels("x"),r=this.getAttribute("cy").getPixels("y"),i=this.getAttribute("r").getPixels();return t&&i>0&&(t.beginPath(),t.arc(e,r,i,0,Math.PI*2,!1),t.closePath()),new kt(e-i,r-i,e+i,r+i)}getMarkers(){return null}}class Wr extends xt{constructor(){super(...arguments),this.type="ellipse"}path(t){var e=4*((Math.sqrt(2)-1)/3),r=this.getAttribute("rx").getPixels("x"),i=this.getAttribute("ry").getPixels("y"),a=this.getAttribute("cx").getPixels("x"),o=this.getAttribute("cy").getPixels("y");return t&&r>0&&i>0&&(t.beginPath(),t.moveTo(a+r,o),t.bezierCurveTo(a+r,o+e*i,a+e*r,o+i,a,o+i),t.bezierCurveTo(a-e*r,o+i,a-r,o+e*i,a-r,o),t.bezierCurveTo(a-r,o-e*i,a-e*r,o-i,a,o-i),t.bezierCurveTo(a+e*r,o-i,a+r,o-e*i,a+r,o),t.closePath()),new kt(a-r,o-i,a+r,o+i)}getMarkers(){return null}}class Qr extends xt{constructor(){super(...arguments),this.type="line"}getPoints(){return[new Rt(this.getAttribute("x1").getPixels("x"),this.getAttribute("y1").getPixels("y")),new Rt(this.getAttribute("x2").getPixels("x"),this.getAttribute("y2").getPixels("y"))]}path(t){var[{x:e,y:r},{x:i,y:a}]=this.getPoints();return t&&(t.beginPath(),t.moveTo(e,r),t.lineTo(i,a)),new kt(e,r,i,a)}getMarkers(){var[t,e]=this.getPoints(),r=t.angleTo(e);return[[t,r],[e,r]]}}class Tr extends xt{constructor(t,e,r){super(t,e,r),this.type="polyline",this.points=[],this.points=Rt.parsePath(this.getAttribute("points").getString())}path(t){var{points:e}=this,[{x:r,y:i}]=e,a=new kt(r,i);return t&&(t.beginPath(),t.moveTo(r,i)),e.forEach(o=>{var{x:s,y:u}=o;a.addPoint(s,u),t&&t.lineTo(s,u)}),a}getMarkers(){var{points:t}=this,e=t.length-1,r=[];return t.forEach((i,a)=>{a!==e&&r.push([i,i.angleTo(t[a+1])])}),r.length>0&&r.push([t[t.length-1],r[r.length-1][1]]),r}}class Zr extends Tr{constructor(){super(...arguments),this.type="polygon"}path(t){var e=super.path(t),[{x:r,y:i}]=this.points;return t&&(t.lineTo(r,i),t.closePath()),e}}class Kr extends Ct{constructor(){super(...arguments),this.type="pattern"}createPattern(t,e,r){var i=this.getStyle("width").getPixels("x",!0),a=this.getStyle("height").getPixels("y",!0),o=new Be(this.document,null);o.attributes.viewBox=new q(this.document,"viewBox",this.getAttribute("viewBox").getValue()),o.attributes.width=new q(this.document,"width","".concat(i,"px")),o.attributes.height=new q(this.document,"height","".concat(a,"px")),o.attributes.transform=new q(this.document,"transform",this.getAttribute("patternTransform").getValue()),o.children=this.children;var s=this.document.createCanvas(i,a),u=s.getContext("2d"),c=this.getAttribute("x"),p=this.getAttribute("y");c.hasValue()&&p.hasValue()&&u.translate(c.getPixels("x",!0),p.getPixels("y",!0)),r.hasValue()?this.styles["fill-opacity"]=r:Reflect.deleteProperty(this.styles,"fill-opacity");for(var E=-1;E<=1;E++)for(var O=-1;O<=1;O++)u.save(),o.attributes.x=new q(this.document,"x",E*s.width),o.attributes.y=new q(this.document,"y",O*s.height),o.render(u),u.restore();var m=t.createPattern(s,"repeat");return m}}class kr extends Ct{constructor(){super(...arguments),this.type="marker"}render(t,e,r){if(e){var{x:i,y:a}=e,o=this.getAttribute("orient").getString("auto"),s=this.getAttribute("markerUnits").getString("strokeWidth");t.translate(i,a),o==="auto"&&t.rotate(r),s==="strokeWidth"&&t.scale(t.lineWidth,t.lineWidth),t.save();var u=new Be(this.document,null);u.type=this.type,u.attributes.viewBox=new q(this.document,"viewBox",this.getAttribute("viewBox").getValue()),u.attributes.refX=new q(this.document,"refX",this.getAttribute("refX").getValue()),u.attributes.refY=new q(this.document,"refY",this.getAttribute("refY").getValue()),u.attributes.width=new q(this.document,"width",this.getAttribute("markerWidth").getValue()),u.attributes.height=new q(this.document,"height",this.getAttribute("markerHeight").getValue()),u.attributes.overflow=new q(this.document,"overflow",this.getAttribute("overflow").getValue()),u.attributes.fill=new q(this.document,"fill",this.getAttribute("fill").getColor("black")),u.attributes.stroke=new q(this.document,"stroke",this.getAttribute("stroke").getValue("none")),u.children=this.children,u.render(t),t.restore(),s==="strokeWidth"&&t.scale(1/t.lineWidth,1/t.lineWidth),o==="auto"&&t.rotate(-r),t.translate(-i,-a)}}}class Jr extends Ct{constructor(){super(...arguments),this.type="defs"}render(){}}class Je extends Oe{constructor(){super(...arguments),this.type="g"}getBoundingBox(t){var e=new kt;return this.children.forEach(r=>{e.addBoundingBox(r.getBoundingBox(t))}),e}}class Or extends Ct{constructor(t,e,r){super(t,e,r),this.attributesToInherit=["gradientUnits"],this.stops=[];var{stops:i,children:a}=this;a.forEach(o=>{o.type==="stop"&&i.push(o)})}getGradientUnits(){return this.getAttribute("gradientUnits").getString("objectBoundingBox")}createGradient(t,e,r){var i=this;this.getHrefAttribute().hasValue()&&(i=this.getHrefAttribute().getDefinition(),this.inheritStopContainer(i));var{stops:a}=i,o=this.getGradient(t,e);if(!o)return this.addParentOpacity(r,a[a.length-1].color);if(a.forEach(L=>{o.addColorStop(L.offset,this.addParentOpacity(r,L.color))}),this.getAttribute("gradientTransform").hasValue()){var{document:s}=this,{MAX_VIRTUAL_PIXELS:u,viewPort:c}=s.screen,[p]=c.viewPorts,E=new Er(s,null);E.attributes.x=new q(s,"x",-u/3),E.attributes.y=new q(s,"y",-u/3),E.attributes.width=new q(s,"width",u),E.attributes.height=new q(s,"height",u);var O=new Je(s,null);O.attributes.transform=new q(s,"transform",this.getAttribute("gradientTransform").getValue()),O.children=[E];var m=new Be(s,null);m.attributes.x=new q(s,"x",0),m.attributes.y=new q(s,"y",0),m.attributes.width=new q(s,"width",p.width),m.attributes.height=new q(s,"height",p.height),m.children=[O];var D=s.createCanvas(p.width,p.height),V=D.getContext("2d");return V.fillStyle=o,m.render(V),V.createPattern(D,"no-repeat")}return o}inheritStopContainer(t){this.attributesToInherit.forEach(e=>{!this.getAttribute(e).hasValue()&&t.getAttribute(e).hasValue()&&this.getAttribute(e,!0).setValue(t.getAttribute(e).getValue())})}addParentOpacity(t,e){if(t.hasValue()){var r=new q(this.document,"color",e);return r.addOpacity(t).getColor()}return e}}class qr extends Or{constructor(t,e,r){super(t,e,r),this.type="linearGradient",this.attributesToInherit.push("x1","y1","x2","y2")}getGradient(t,e){var r=this.getGradientUnits()==="objectBoundingBox",i=r?e.getBoundingBox(t):null;if(r&&!i)return null;!this.getAttribute("x1").hasValue()&&!this.getAttribute("y1").hasValue()&&!this.getAttribute("x2").hasValue()&&!this.getAttribute("y2").hasValue()&&(this.getAttribute("x1",!0).setValue(0),this.getAttribute("y1",!0).setValue(0),this.getAttribute("x2",!0).setValue(1),this.getAttribute("y2",!0).setValue(0));var a=r?i.x+i.width*this.getAttribute("x1").getNumber():this.getAttribute("x1").getPixels("x"),o=r?i.y+i.height*this.getAttribute("y1").getNumber():this.getAttribute("y1").getPixels("y"),s=r?i.x+i.width*this.getAttribute("x2").getNumber():this.getAttribute("x2").getPixels("x"),u=r?i.y+i.height*this.getAttribute("y2").getNumber():this.getAttribute("y2").getPixels("y");return a===s&&o===u?null:t.createLinearGradient(a,o,s,u)}}class _r extends Or{constructor(t,e,r){super(t,e,r),this.type="radialGradient",this.attributesToInherit.push("cx","cy","r","fx","fy","fr")}getGradient(t,e){var r=this.getGradientUnits()==="objectBoundingBox",i=e.getBoundingBox(t);if(r&&!i)return null;this.getAttribute("cx").hasValue()||this.getAttribute("cx",!0).setValue("50%"),this.getAttribute("cy").hasValue()||this.getAttribute("cy",!0).setValue("50%"),this.getAttribute("r").hasValue()||this.getAttribute("r",!0).setValue("50%");var a=r?i.x+i.width*this.getAttribute("cx").getNumber():this.getAttribute("cx").getPixels("x"),o=r?i.y+i.height*this.getAttribute("cy").getNumber():this.getAttribute("cy").getPixels("y"),s=a,u=o;this.getAttribute("fx").hasValue()&&(s=r?i.x+i.width*this.getAttribute("fx").getNumber():this.getAttribute("fx").getPixels("x")),this.getAttribute("fy").hasValue()&&(u=r?i.y+i.height*this.getAttribute("fy").getNumber():this.getAttribute("fy").getPixels("y"));var c=r?(i.width+i.height)/2*this.getAttribute("r").getNumber():this.getAttribute("r").getPixels(),p=this.getAttribute("fr").getPixels();return t.createRadialGradient(s,u,p,a,o,c)}}class tn extends Ct{constructor(t,e,r){super(t,e,r),this.type="stop";var i=Math.max(0,Math.min(1,this.getAttribute("offset").getNumber())),a=this.getStyle("stop-opacity"),o=this.getStyle("stop-color",!0);o.getString()===""&&o.setValue("#000"),a.hasValue()&&(o=o.addOpacity(a)),this.offset=i,this.color=o.getColor()}}class qe extends Ct{constructor(t,e,r){super(t,e,r),this.type="animate",this.duration=0,this.initialValue=null,this.initialUnits="",this.removed=!1,this.frozen=!1,t.screen.animations.push(this),this.begin=this.getAttribute("begin").getMilliseconds(),this.maxDuration=this.begin+this.getAttribute("dur").getMilliseconds(),this.from=this.getAttribute("from"),this.to=this.getAttribute("to"),this.values=new q(t,"values",null);var i=this.getAttribute("values");i.hasValue()&&this.values.setValue(i.getString().split(";"))}getProperty(){var t=this.getAttribute("attributeType").getString(),e=this.getAttribute("attributeName").getString();return t==="CSS"?this.parent.getStyle(e,!0):this.parent.getAttribute(e,!0)}calcValue(){var{initialUnits:t}=this,{progress:e,from:r,to:i}=this.getProgress(),a=r.getNumber()+(i.getNumber()-r.getNumber())*e;return t==="%"&&(a*=100),"".concat(a).concat(t)}update(t){var{parent:e}=this,r=this.getProperty();if(this.initialValue||(this.initialValue=r.getString(),this.initialUnits=r.getUnits()),this.duration>this.maxDuration){var i=this.getAttribute("fill").getString("remove");if(this.getAttribute("repeatCount").getString()==="indefinite"||this.getAttribute("repeatDur").getString()==="indefinite")this.duration=0;else if(i==="freeze"&&!this.frozen)this.frozen=!0,e.animationFrozen=!0,e.animationFrozenValue=r.getString();else if(i==="remove"&&!this.removed)return this.removed=!0,r.setValue(e.animationFrozen?e.animationFrozenValue:this.initialValue),!0;return!1}this.duration+=t;var a=!1;if(this.begin{var c=a[u];return s+(c-s)*t}).join(" ");return o}}class nn extends Ct{constructor(t,e,r){super(t,e,r),this.type="font",this.glyphs=Object.create(null),this.horizAdvX=this.getAttribute("horiz-adv-x").getNumber();var{definitions:i}=t,{children:a}=this;for(var o of a)switch(o.type){case"font-face":{this.fontFace=o;var s=o.getStyle("font-family");s.hasValue()&&(i[s.getString()]=this);break}case"missing-glyph":this.missingGlyph=o;break;case"glyph":{var u=o;u.arabicForm?(this.isRTL=!0,this.isArabic=!0,typeof this.glyphs[u.unicode]=="undefined"&&(this.glyphs[u.unicode]=Object.create(null)),this.glyphs[u.unicode][u.arabicForm]=u):this.glyphs[u.unicode]=u;break}}}render(){}}class an extends Ct{constructor(t,e,r){super(t,e,r),this.type="font-face",this.ascent=this.getAttribute("ascent").getNumber(),this.descent=this.getAttribute("descent").getNumber(),this.unitsPerEm=this.getAttribute("units-per-em").getNumber()}}class sn extends xt{constructor(){super(...arguments),this.type="missing-glyph",this.horizAdvX=0}}class on extends se{constructor(){super(...arguments),this.type="tref"}getText(){var t=this.getHrefAttribute().getDefinition();if(t){var e=t.children[0];if(e)return e.getText()}return""}}class un extends se{constructor(t,e,r){super(t,e,r),this.type="a";var{childNodes:i}=e,a=i[0],o=i.length>0&&Array.from(i).every(s=>s.nodeType===3);this.hasText=o,this.text=o?this.getTextFromNode(a):""}getText(){return this.text}renderChildren(t){if(this.hasText){super.renderChildren(t);var{document:e,x:r,y:i}=this,{mouse:a}=e.screen,o=new q(e,"fontSize",zt.parse(e.ctx.font).fontSize);a.isWorking()&&a.checkBoundingBox(this,new kt(r,i-o.getPixels("y"),r+this.measureText(t),i))}else if(this.children.length>0){var s=new Je(this.document,null);s.children=this.children,s.parent=this,s.render(t)}}onClick(){var{window:t}=this.document;t&&t.open(this.getHrefAttribute().getString())}onMouseMove(){var t=this.document.ctx;t.canvas.style.cursor="pointer"}}function ln(h,t){var e=Object.keys(h);if(Object.getOwnPropertySymbols){var r=Object.getOwnPropertySymbols(h);t&&(r=r.filter(function(i){return Object.getOwnPropertyDescriptor(h,i).enumerable})),e.push.apply(e,r)}return e}function _e(h){for(var t=1;t{var{type:i,points:a}=r;switch(i){case it.LINE_TO:t&&t.lineTo(a[0],a[1]);break;case it.MOVE_TO:t&&t.moveTo(a[0],a[1]);break;case it.CURVE_TO:t&&t.bezierCurveTo(a[0],a[1],a[2],a[3],a[4],a[5]);break;case it.QUAD_TO:t&&t.quadraticCurveTo(a[0],a[1],a[2],a[3]);break;case it.ARC:{var[o,s,u,c,p,E,O,m]=a,D=u>c?u:c,V=u>c?1:u/c,L=u>c?c/u:1;t&&(t.translate(o,s),t.rotate(O),t.scale(V,L),t.arc(0,0,D,p,p+E,!!(1-m)),t.scale(1/V,1/L),t.rotate(-O),t.translate(-o,-s));break}case it.CLOSE_PATH:t&&t.closePath();break}})}renderChildren(t){this.setTextData(t),t.save();var e=this.parent.getStyle("text-decoration").getString(),r=this.getFontSize(),{glyphInfo:i}=this,a=t.fillStyle;e==="underline"&&t.beginPath(),i.forEach((o,s)=>{var{p0:u,p1:c,rotation:p,text:E}=o;t.save(),t.translate(u.x,u.y),t.rotate(p),t.fillStyle&&t.fillText(E,0,0),t.strokeStyle&&t.strokeText(E,0,0),t.restore(),e==="underline"&&(s===0&&t.moveTo(u.x,u.y+r/8),t.lineTo(c.x,c.y+r/5))}),e==="underline"&&(t.lineWidth=r/20,t.strokeStyle=a,t.stroke(),t.closePath()),t.restore()}getLetterSpacingAt(){var t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:0;return this.letterSpacingCache[t]||0}findSegmentToFitChar(t,e,r,i,a,o,s,u,c){var p=o,E=this.measureText(t,u);u===" "&&e==="justify"&&r-1&&(p+=this.getLetterSpacingAt(c));var O=this.textHeight/20,m=this.getEquidistantPointOnPath(p,O,0),D=this.getEquidistantPointOnPath(p+E,O,0),V={p0:m,p1:D},L=m&&D?Math.atan2(D.y-m.y,D.x-m.x):0;if(s){var U=Math.cos(Math.PI/2+L)*s,K=Math.cos(-L)*s;V.p0=_e(_e({},m),{},{x:m.x+U,y:m.y+K}),V.p1=_e(_e({},D),{},{x:D.x+U,y:D.y+K})}return p+=E,{offset:p,segment:V,rotation:L}}measureText(t,e){var{measuresCache:r}=this,i=e||this.getText();if(r.has(i))return r.get(i);var a=this.measureTargetText(t,i);return r.set(i,a),a}setTextData(t){if(!this.glyphInfo){var e=this.getText(),r=e.split(""),i=e.split(" ").length-1,a=this.parent.getAttribute("dx").split().map(z=>z.getPixels("x")),o=this.parent.getAttribute("dy").getPixels("y"),s=this.parent.getStyle("text-anchor").getString("start"),u=this.getStyle("letter-spacing"),c=this.parent.getStyle("letter-spacing"),p=0;!u.hasValue()||u.getValue()==="inherit"?p=c.getPixels():u.hasValue()&&u.getValue()!=="initial"&&u.getValue()!=="unset"&&(p=u.getPixels());var E=[],O=e.length;this.letterSpacingCache=E;for(var m=0;mat===0?0:z+rt||0,0),V=this.measureText(t),L=Math.max(V+D,0);this.textWidth=V,this.textHeight=this.getFontSize(),this.glyphInfo=[];var U=this.getPathLength(),K=this.getStyle("startOffset").getNumber(0)*U,G=0;(s==="middle"||s==="center")&&(G=-L/2),(s==="end"||s==="right")&&(G=-L),G+=K,r.forEach((z,rt)=>{var{offset:at,segment:H,rotation:ct}=this.findSegmentToFitChar(t,s,L,U,i,G,o,z,rt);G=at,!(!H.p0||!H.p1)&&this.glyphInfo.push({text:r[rt],p0:H.p0,p1:H.p1,rotation:ct})})}}parsePathData(t){if(this.pathLength=-1,!t)return[];var e=[],{pathParser:r}=t;for(r.reset();!r.isEnd();){var{current:i}=r,a=i?i.x:0,o=i?i.y:0,s=r.next(),u=s.type,c=[];switch(s.type){case it.MOVE_TO:this.pathM(r,c);break;case it.LINE_TO:u=this.pathL(r,c);break;case it.HORIZ_LINE_TO:u=this.pathH(r,c);break;case it.VERT_LINE_TO:u=this.pathV(r,c);break;case it.CURVE_TO:this.pathC(r,c);break;case it.SMOOTH_CURVE_TO:u=this.pathS(r,c);break;case it.QUAD_TO:this.pathQ(r,c);break;case it.SMOOTH_QUAD_TO:u=this.pathT(r,c);break;case it.ARC:c=this.pathA(r);break;case it.CLOSE_PATH:xt.pathZ(r);break}s.type!==it.CLOSE_PATH?e.push({type:u,points:c,start:{x:a,y:o},pathLength:this.calcLength(a,o,u,c)}):e.push({type:it.CLOSE_PATH,points:[],pathLength:0})}return e}pathM(t,e){var{x:r,y:i}=xt.pathM(t).point;e.push(r,i)}pathL(t,e){var{x:r,y:i}=xt.pathL(t).point;return e.push(r,i),it.LINE_TO}pathH(t,e){var{x:r,y:i}=xt.pathH(t).point;return e.push(r,i),it.LINE_TO}pathV(t,e){var{x:r,y:i}=xt.pathV(t).point;return e.push(r,i),it.LINE_TO}pathC(t,e){var{point:r,controlPoint:i,currentPoint:a}=xt.pathC(t);e.push(r.x,r.y,i.x,i.y,a.x,a.y)}pathS(t,e){var{point:r,controlPoint:i,currentPoint:a}=xt.pathS(t);return e.push(r.x,r.y,i.x,i.y,a.x,a.y),it.CURVE_TO}pathQ(t,e){var{controlPoint:r,currentPoint:i}=xt.pathQ(t);e.push(r.x,r.y,i.x,i.y)}pathT(t,e){var{controlPoint:r,currentPoint:i}=xt.pathT(t);return e.push(r.x,r.y,i.x,i.y),it.QUAD_TO}pathA(t){var{rX:e,rY:r,sweepFlag:i,xAxisRotation:a,centp:o,a1:s,ad:u}=xt.pathA(t);return i===0&&u>0&&(u-=2*Math.PI),i===1&&u<0&&(u+=2*Math.PI),[o.x,o.y,e,r,s,u,a,i]}calcLength(t,e,r,i){var a=0,o=null,s=null,u=0;switch(r){case it.LINE_TO:return this.getLineLength(t,e,i[0],i[1]);case it.CURVE_TO:for(a=0,o=this.getPointOnCubicBezier(0,t,e,i[0],i[1],i[2],i[3],i[4],i[5]),u=.01;u<=1;u+=.01)s=this.getPointOnCubicBezier(u,t,e,i[0],i[1],i[2],i[3],i[4],i[5]),a+=this.getLineLength(o.x,o.y,s.x,s.y),o=s;return a;case it.QUAD_TO:for(a=0,o=this.getPointOnQuadraticBezier(0,t,e,i[0],i[1],i[2],i[3]),u=.01;u<=1;u+=.01)s=this.getPointOnQuadraticBezier(u,t,e,i[0],i[1],i[2],i[3]),a+=this.getLineLength(o.x,o.y,s.x,s.y),o=s;return a;case it.ARC:{a=0;var c=i[4],p=i[5],E=i[4]+p,O=Math.PI/180;if(Math.abs(c-E)E;u-=O)s=this.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],u,0),a+=this.getLineLength(o.x,o.y,s.x,s.y),o=s;else for(u=c+O;u5&&arguments[5]!==void 0?arguments[5]:e,s=arguments.length>6&&arguments[6]!==void 0?arguments[6]:r,u=(a-r)/(i-e+ae),c=Math.sqrt(t*t/(1+u*u));ie)return null;var{dataArray:a}=this;for(var o of a){if(o&&(o.pathLength<5e-5||r+o.pathLength+5e-5=0&&u>E)break;i=this.getPointOnEllipticalArc(o.points[0],o.points[1],o.points[2],o.points[3],u,o.points[6]);break}case it.CURVE_TO:u=s/o.pathLength,u>1&&(u=1),i=this.getPointOnCubicBezier(u,o.start.x,o.start.y,o.points[0],o.points[1],o.points[2],o.points[3],o.points[4],o.points[5]);break;case it.QUAD_TO:u=s/o.pathLength,u>1&&(u=1),i=this.getPointOnQuadraticBezier(u,o.start.x,o.start.y,o.points[0],o.points[1],o.points[2],o.points[3]);break}if(i)return i;break}return null}getLineLength(t,e,r,i){return Math.sqrt((r-t)*(r-t)+(i-e)*(i-e))}getPathLength(){return this.pathLength===-1&&(this.pathLength=this.dataArray.reduce((t,e)=>e.pathLength>0?t+e.pathLength:t,0)),this.pathLength}getPointOnCubicBezier(t,e,r,i,a,o,s,u,c){var p=u*hr(t)+o*fr(t)+i*cr(t)+e*vr(t),E=c*hr(t)+s*fr(t)+a*cr(t)+r*vr(t);return{x:p,y:E}}getPointOnQuadraticBezier(t,e,r,i,a,o,s){var 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Oe{constructor(t,e,r){super(t,e,r),this.type="image",this.loaded=!1;var i=this.getHrefAttribute().getString();if(i){var a=i.endsWith(".svg")||/^\s*data:image\/svg\+xml/i.test(i);t.images.push(this),a?this.loadSvg(i):this.loadImage(i),this.isSvg=a}}loadImage(t){var e=this;return(0,f.Z)(function*(){try{var r=yield e.document.createImage(t);e.image=r}catch(i){console.error('Error while loading image "'.concat(t,'":'),i)}e.loaded=!0})()}loadSvg(t){var e=this;return(0,f.Z)(function*(){var r=Bn.exec(t);if(r){var i=r[5];r[4]==="base64"?e.image=atob(i):e.image=decodeURIComponent(i)}else try{var a=yield e.document.fetch(t),o=yield a.text();e.image=o}catch(s){console.error('Error while loading image 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this._extraData}set extraData(e){this._extraData=e}get onDataArrival(){return this._onDataArrival}set onDataArrival(e){this._onDataArrival=e}get onSeeked(){return this._onSeeked}set onSeeked(e){this._onSeeked=e}get onError(){return this._onError}set onError(e){this._onError=e}get onComplete(){return this._onComplete}set onComplete(e){this._onComplete=e}get onRedirect(){return this._onRedirect}set onRedirect(e){this._onRedirect=e}get onRecoveredEarlyEof(){return this._onRecoveredEarlyEof}set onRecoveredEarlyEof(e){this._onRecoveredEarlyEof=e}get currentURL(){return this._dataSource.url}get hasRedirect(){return this._redirectedURL!=null||this._dataSource.redirectedURL!=null}get currentRedirectedURL(){return this._redirectedURL||this._dataSource.redirectedURL}get currentSpeed(){return this._loaderClass===J?this._loader.currentSpeed:this._speedSampler.lastSecondKBps}get loaderType(){return this._loader.type}_selectSeekHandler(){let e=this._config;if(e.seekType==="range")this._seekHandler=new Se(this._config.rangeLoadZeroStart);else if(e.seekType==="param"){let t=e.seekParamStart||"bstart",n=e.seekParamEnd||"bend";this._seekHandler=new Ae(t,n)}else if(e.seekType==="custom"){if(typeof e.customSeekHandler!="function")throw new re("Custom seekType specified in config but invalid customSeekHandler!");this._seekHandler=new e.customSeekHandler}else throw new re(`Invalid seekType in config: ${e.seekType}`)}_selectLoader(){if(this._config.customLoader!=null)this._loaderClass=this._config.customLoader;else if(this._isWebSocketURL)this._loaderClass=he;else if(y.isSupported())this._loaderClass=y;else if(I.isSupported())this._loaderClass=I;else if(J.isSupported())this._loaderClass=J;else throw new N("Your browser doesn't support xhr with arraybuffer responseType!")}_createLoader(){this._loader=new this._loaderClass(this._seekHandler,this._config),this._loader.needStashBuffer===!1&&(this._enableStash=!1),this._loader.onContentLengthKnown=this._onContentLengthKnown.bind(this),this._loader.onURLRedirect=this._onURLRedirect.bind(this),this._loader.onDataArrival=this._onLoaderChunkArrival.bind(this),this._loader.onComplete=this._onLoaderComplete.bind(this),this._loader.onError=this._onLoaderError.bind(this)}open(e){this._currentRange={from:0,to:-1},e&&(this._currentRange.from=e),this._speedSampler.reset(),e||(this._fullRequestFlag=!0),this._loader.open(this._dataSource,Object.assign({},this._currentRange))}abort(){this._loader.abort(),this._paused&&(this._paused=!1,this._resumeFrom=0)}pause(){this.isWorking()&&(this._loader.abort(),this._stashUsed!==0?(this._resumeFrom=this._stashByteStart,this._currentRange.to=this._stashByteStart-1):this._resumeFrom=this._currentRange.to+1,this._stashUsed=0,this._stashByteStart=0,this._paused=!0)}resume(){if(this._paused){this._paused=!1;let e=this._resumeFrom;this._resumeFrom=0,this._internalSeek(e,!0)}}seek(e){this._paused=!1,this._stashUsed=0,this._stashByteStart=0,this._internalSeek(e,!0)}_internalSeek(e,t){this._loader.isWorking()&&this._loader.abort(),this._flushStashBuffer(t),this._loader.destroy(),this._loader=null;let n={from:e,to:-1};this._currentRange={from:n.from,to:-1},this._speedSampler.reset(),this._stashSize=this._stashInitialSize,this._createLoader(),this._loader.open(this._dataSource,n),this._onSeeked&&this._onSeeked()}updateUrl(e){if(!e||typeof e!="string"||e.length===0)throw new re("Url must be a non-empty string!");this._dataSource.url=e}_expandBuffer(e){let t=this._stashSize;for(;t+1024*1024*10){let i=new Uint8Array(this._stashBuffer,0,this._stashUsed);new Uint8Array(n,0,t).set(i,0)}this._stashBuffer=n,this._bufferSize=t}_normalizeSpeed(e){let t=this._speedNormalizeList,n=t.length-1,i=0,r=0,c=n;if(e=t[i]&&e=512&&e<=1024?t=Math.floor(e*1.5):t=e*2,t>8192&&(t=8192);let n=t*1024+1024*1024*1;this._bufferSize0){let c=this._stashBuffer.slice(0,this._stashUsed),g=this._dispatchChunks(c,this._stashByteStart);if(g0){let oe=new Uint8Array(c,g);r.set(oe,0),this._stashUsed=oe.byteLength,this._stashByteStart+=g}}else this._stashUsed=0,this._stashByteStart+=g;this._stashUsed+e.byteLength>this._bufferSize&&(this._expandBuffer(this._stashUsed+e.byteLength),r=new Uint8Array(this._stashBuffer,0,this._bufferSize)),r.set(new Uint8Array(e),this._stashUsed),this._stashUsed+=e.byteLength}else{let c=this._dispatchChunks(e,t);if(cthis._bufferSize&&(this._expandBuffer(g),r=new Uint8Array(this._stashBuffer,0,this._bufferSize)),r.set(new Uint8Array(e,c),0),this._stashUsed+=g,this._stashByteStart=t+c}}}else if(this._stashUsed===0){let r=this._dispatchChunks(e,t);if(rthis._bufferSize&&this._expandBuffer(c),new Uint8Array(this._stashBuffer,0,this._bufferSize).set(new Uint8Array(e,r),0),this._stashUsed+=c,this._stashByteStart=t+r}}else{this._stashUsed+e.byteLength>this._bufferSize&&this._expandBuffer(this._stashUsed+e.byteLength);let r=new Uint8Array(this._stashBuffer,0,this._bufferSize);r.set(new Uint8Array(e),this._stashUsed),this._stashUsed+=e.byteLength;let c=this._dispatchChunks(this._stashBuffer.slice(0,this._stashUsed),this._stashByteStart);if(c0){let g=new Uint8Array(this._stashBuffer,c);r.set(g,0)}this._stashUsed-=c,this._stashByteStart+=c}}_flushStashBuffer(e){if(this._stashUsed>0){let t=this._stashBuffer.slice(0,this._stashUsed),n=this._dispatchChunks(t,this._stashByteStart),i=t.byteLength-n;if(n0){let r=new Uint8Array(this._stashBuffer,0,this._bufferSize),c=new Uint8Array(t,n);r.set(c,0),this._stashUsed=c.byteLength,this._stashByteStart+=n}return 0}return this._stashUsed=0,this._stashByteStart=0,i}return 0}_onLoaderComplete(e,t){this._flushStashBuffer(!0),this._onComplete&&this._onComplete(this._extraData)}_onLoaderError(e,t){switch(_.e(this.TAG,`Loader error, code = ${t.code}, msg = ${t.msg}`),this._flushStashBuffer(!1),this._isEarlyEofReconnecting&&(this._isEarlyEofReconnecting=!1,e=H.UNRECOVERABLE_EARLY_EOF),e){case H.EARLY_EOF:{if(!this._config.isLive&&this._totalLength){let n=this._currentRange.to+1;n0){let t=ae.getConfig();e.emit("change",t)}}static registerListener(e){ae.emitter.addListener("change",e)}static removeListener(e){ae.emitter.removeListener("change",e)}static addLogListener(e){_.emitter.addListener("log",e),_.emitter.listenerCount("log")>0&&(_.ENABLE_CALLBACK=!0,ae._notifyChange())}static removeLogListener(e){_.emitter.removeListener("log",e),_.emitter.listenerCount("log")===0&&(_.ENABLE_CALLBACK=!1,ae._notifyChange())}}ae.emitter=new(P());var _e=ae;class Ue{constructor(){this.mimeType=null,this.duration=null,this.hasAudio=null,this.hasVideo=null,this.audioCodec=null,this.videoCodec=null,this.audioDataRate=null,this.videoDataRate=null,this.audioSampleRate=null,this.audioChannelCount=null,this.width=null,this.height=null,this.fps=null,this.profile=null,this.level=null,this.refFrames=null,this.chromaFormat=null,this.sarNum=null,this.sarDen=null,this.metadata=null,this.segments=null,this.segmentCount=null,this.hasKeyframesIndex=null,this.keyframesIndex=null}isComplete(){let e=this.hasAudio===!1||this.hasAudio===!0&&this.audioCodec!=null&&this.audioSampleRate!=null&&this.audioChannelCount!=null,t=this.hasVideo===!1||this.hasVideo===!0&&this.videoCodec!=null&&this.width!=null&&this.height!=null&&this.fps!=null&&this.profile!=null&&this.level!=null&&this.refFrames!=null&&this.chromaFormat!=null&&this.sarNum!=null&&this.sarDen!=null;return this.mimeType!=null&&this.duration!=null&&this.metadata!=null&&this.hasKeyframesIndex!=null&&e&&t}isSeekable(){return this.hasKeyframesIndex===!0}getNearestKeyframe(e){if(this.keyframesIndex==null)return null;let t=this.keyframesIndex,n=this._search(t.times,e);return{index:n,milliseconds:t.times[n],fileposition:t.filepositions[n]}}_search(e,t){let n=0,i=e.length-1,r=0,c=0,g=i;for(t=e[r]&&t=128){e.push(String.fromCharCode(r&65535)),n+=2;continue}}}else if(t[n]<240){if(je(t,n,2)){let r=(t[n]&15)<<12|(t[n+1]&63)<<6|t[n+2]&63;if(r>=2048&&(r&63488)!==55296){e.push(String.fromCharCode(r&65535)),n+=3;continue}}}else if(t[n]<248&&je(t,n,3)){let r=(t[n]&7)<<18|(t[n+1]&63)<<12|(t[n+2]&63)<<6|t[n+3]&63;if(r>65536&&r<1114112){r-=65536,e.push(String.fromCharCode(r>>>10|55296)),e.push(String.fromCharCode(r&1023|56320)),n+=4;continue}}}e.push("\uFFFD"),++n}return e.join("")}var nt=Xe;let Me=function(){let K=new ArrayBuffer(2);return new DataView(K).setInt16(0,256,!0),new Int16Array(K)[0]===256}();class He{static parseScriptData(e,t,n){let i={};try{let r=He.parseValue(e,t,n),c=He.parseValue(e,t+r.size,n-r.size);i[r.data]=c.data}catch(r){_.e("AMF",r.toString())}return i}static parseObject(e,t,n){if(n<3)throw new q("Data not enough when parse ScriptDataObject");let i=He.parseString(e,t,n),r=He.parseValue(e,t+i.size,n-i.size),c=r.objectEnd;return{data:{name:i.data,value:r.data},size:i.size+r.size,objectEnd:c}}static parseVariable(e,t,n){return He.parseObject(e,t,n)}static parseString(e,t,n){if(n<2)throw new q("Data not enough when parse String");let r=new DataView(e,t,n).getUint16(0,!Me),c;return r>0?c=nt(new Uint8Array(e,t+2,r)):c="",{data:c,size:2+r}}static parseLongString(e,t,n){if(n<4)throw new q("Data not enough when parse LongString");let r=new DataView(e,t,n).getUint32(0,!Me),c;return r>0?c=nt(new Uint8Array(e,t+4,r)):c="",{data:c,size:4+r}}static parseDate(e,t,n){if(n<10)throw new q("Data size invalid when parse Date");let i=new DataView(e,t,n),r=i.getFloat64(0,!Me),c=i.getInt16(8,!Me);return r+=c*60*1e3,{data:new Date(r),size:10}}static parseValue(e,t,n){if(n<1)throw new q("Data not enough when parse Value");let i=new DataView(e,t,n),r=1,c=i.getUint8(0),g,oe=!1;try{switch(c){case 0:g=i.getFloat64(1,!Me),r+=8;break;case 1:{g=!!i.getUint8(1),r+=1;break}case 2:{let V=He.parseString(e,t+1,n-1);g=V.data,r+=V.size;break}case 3:{g={};let V=0;for((i.getUint32(n-4,!Me)&16777215)===9&&(V=3);r32)throw new re("ExpGolomb: readBits() bits exceeded max 32bits!");if(e<=this._current_word_bits_left){let c=this._current_word>>>32-e;return this._current_word<<=e,this._current_word_bits_left-=e,c}let t=this._current_word_bits_left?this._current_word:0;t=t>>>32-this._current_word_bits_left;let n=e-this._current_word_bits_left;this._fillCurrentWord();let i=Math.min(n,this._current_word_bits_left),r=this._current_word>>>32-i;return this._current_word<<=i,this._current_word_bits_left-=i,t=t<>>e)return this._current_word<<=e,this._current_word_bits_left-=e,e;return this._fillCurrentWord(),e+this._skipLeadingZero()}readUEG(){let e=this._skipLeadingZero();return this.readBits(e+1)-1}readSEG(){let e=this.readUEG();return e&1?e+1>>>1:-1*(e>>>1)}}var et=Je;class B{static _ebsp2rbsp(e){let t=e,n=t.byteLength,i=new Uint8Array(n),r=0;for(let c=0;c=2&&t[c]===3&&t[c-1]===0&&t[c-2]===0||(i[r]=t[c],r++);return new Uint8Array(i.buffer,0,r)}static parseSPS(e){let t=B._ebsp2rbsp(e),n=new et(t);n.readByte();let i=n.readByte();n.readByte();let r=n.readByte();n.readUEG();let c=B.getProfileString(i),g=B.getLevelString(r),oe=1,V=420,fe=[0,420,422,444],Ve=8;if((i===100||i===110||i===122||i===244||i===44||i===83||i===86||i===118||i===128||i===138||i===144)&&(oe=n.readUEG(),oe===3&&n.readBits(1),oe<=3&&(V=fe[oe]),Ve=n.readUEG()+8,n.readUEG(),n.readBits(1),n.readBool())){let Ke=oe!==3?8:12;for(let Pe=0;Pe0&&Ke<16?(Et=Pe[Ke-1],ve=rt[Ke-1]):Ke===255&&(Et=n.readByte()<<8|n.readByte(),ve=n.readByte()<<8|n.readByte())}if(n.readBool()&&n.readBool(),n.readBool()&&(n.readBits(4),n.readBool()&&n.readBits(24)),n.readBool()&&(n.readUEG(),n.readUEG()),n.readBool()){let Ke=n.readBits(32),Pe=n.readBits(32);p=n.readBool(),v=Pe,D=Ke*2,pe=v/D}}let k=1;(Et!==1||ve!==1)&&(k=Et/ve);let X=0,z=0;if(oe===0)X=1,z=2-G;else{let Ke=oe===3?1:2,Pe=oe===1?2:1;X=Ke,z=Pe*(2-G)}let be=(Ne+1)*16,Ze=(2-G)*((me+1)*16);be-=(ne+ye)*X,Ze-=(Le+Ye)*z;let Te=Math.ceil(be*k);return n.destroy(),n=null,{profile_string:c,level_string:g,bit_depth:Ve,ref_frames:le,chroma_format:V,chroma_format_string:B.getChromaFormatString(V),frame_rate:{fixed:p,fps:pe,fps_den:D,fps_num:v},sar_ratio:{width:Et,height:ve},codec_size:{width:be,height:Ze},present_size:{width:Te,height:Ze}}}static _skipScalingList(e,t){let n=8,i=8,r=0;for(let c=0;c>>8&255|(K&255)<<8}function $(K){return(K&4278190080)>>>24|(K&16711680)>>>8|(K&65280)<<8|(K&255)<<24}function d(K,e){return K[e]<<24|K[e+1]<<16|K[e+2]<<8|K[e+3]}class m{constructor(e,t){this.TAG="FLVDemuxer",this._config=t,this._onError=null,this._onMediaInfo=null,this._onMetaDataArrived=null,this._onScriptDataArrived=null,this._onTrackMetadata=null,this._onDataAvailable=null,this._dataOffset=e.dataOffset,this._firstParse=!0,this._dispatch=!1,this._hasAudio=e.hasAudioTrack,this._hasVideo=e.hasVideoTrack,this._hasAudioFlagOverrided=!1,this._hasVideoFlagOverrided=!1,this._audioInitialMetadataDispatched=!1,this._videoInitialMetadataDispatched=!1,this._mediaInfo=new $e,this._mediaInfo.hasAudio=this._hasAudio,this._mediaInfo.hasVideo=this._hasVideo,this._metadata=null,this._audioMetadata=null,this._videoMetadata=null,this._naluLengthSize=4,this._timestampBase=0,this._timescale=1e3,this._duration=0,this._durationOverrided=!1,this._referenceFrameRate={fixed:!0,fps:23.976,fps_num:23976,fps_den:1e3},this._flvSoundRateTable=[5500,11025,22050,44100,48e3],this._mpegSamplingRates=[96e3,88200,64e3,48e3,44100,32e3,24e3,22050,16e3,12e3,11025,8e3,7350],this._mpegAudioV10SampleRateTable=[44100,48e3,32e3,0],this._mpegAudioV20SampleRateTable=[22050,24e3,16e3,0],this._mpegAudioV25SampleRateTable=[11025,12e3,8e3,0],this._mpegAudioL1BitRateTable=[0,32,64,96,128,160,192,224,256,288,320,352,384,416,448,-1],this._mpegAudioL2BitRateTable=[0,32,48,56,64,80,96,112,128,160,192,224,256,320,384,-1],this._mpegAudioL3BitRateTable=[0,32,40,48,56,64,80,96,112,128,160,192,224,256,320,-1],this._videoTrack={type:"video",id:1,sequenceNumber:0,samples:[],length:0},this._audioTrack={type:"audio",id:2,sequenceNumber:0,samples:[],length:0},this._littleEndian=function(){let n=new ArrayBuffer(2);return new DataView(n).setInt16(0,256,!0),new Int16Array(n)[0]===256}()}destroy(){this._mediaInfo=null,this._metadata=null,this._audioMetadata=null,this._videoMetadata=null,this._videoTrack=null,this._audioTrack=null,this._onError=null,this._onMediaInfo=null,this._onMetaDataArrived=null,this._onScriptDataArrived=null,this._onTrackMetadata=null,this._onDataAvailable=null}static probe(e){let t=new Uint8Array(e),n={match:!1};if(t[0]!==70||t[1]!==76||t[2]!==86||t[3]!==1)return n;let i=(t[4]&4)>>>2!==0,r=(t[4]&1)!==0,c=d(t,5);return c<9?n:{match:!0,consumed:c,dataOffset:c,hasAudioTrack:i,hasVideoTrack:r}}bindDataSource(e){return e.onDataArrival=this.parseChunks.bind(this),this}get onTrackMetadata(){return this._onTrackMetadata}set onTrackMetadata(e){this._onTrackMetadata=e}get onMediaInfo(){return this._onMediaInfo}set onMediaInfo(e){this._onMediaInfo=e}get onMetaDataArrived(){return this._onMetaDataArrived}set onMetaDataArrived(e){this._onMetaDataArrived=e}get onScriptDataArrived(){return this._onScriptDataArrived}set onScriptDataArrived(e){this._onScriptDataArrived=e}get onError(){return this._onError}set onError(e){this._onError=e}get onDataAvailable(){return this._onDataAvailable}set onDataAvailable(e){this._onDataAvailable=e}get timestampBase(){return this._timestampBase}set timestampBase(e){this._timestampBase=e}get overridedDuration(){return this._duration}set overridedDuration(e){this._durationOverrided=!0,this._duration=e,this._mediaInfo.duration=e}set overridedHasAudio(e){this._hasAudioFlagOverrided=!0,this._hasAudio=e,this._mediaInfo.hasAudio=e}set overridedHasVideo(e){this._hasVideoFlagOverrided=!0,this._hasVideo=e,this._mediaInfo.hasVideo=e}resetMediaInfo(){this._mediaInfo=new $e}_isInitialMetadataDispatched(){return this._hasAudio&&this._hasVideo?this._audioInitialMetadataDispatched&&this._videoInitialMetadataDispatched:this._hasAudio&&!this._hasVideo?this._audioInitialMetadataDispatched:!this._hasAudio&&this._hasVideo?this._videoInitialMetadataDispatched:!1}parseChunks(e,t){if(!this._onError||!this._onMediaInfo||!this._onTrackMetadata||!this._onDataAvailable)throw new q("Flv: onError & onMediaInfo & onTrackMetadata & onDataAvailable callback must be specified");let n=0,i=this._littleEndian;if(t===0)if(e.byteLength>13)n=m.probe(e).dataOffset;else return 0;for(this._firstParse&&(this._firstParse=!1,t+n!==this._dataOffset&&_.w(this.TAG,"First time parsing but chunk byteStart invalid!"),new DataView(e,n).getUint32(0,!i)!==0&&_.w(this.TAG,"PrevTagSize0 !== 0 !!!"),n+=4);ne.byteLength)break;let c=r.getUint8(0),g=r.getUint32(0,!i)&16777215;if(n+11+g+4>e.byteLength)break;if(c!==8&&c!==9&&c!==18){_.w(this.TAG,`Unsupported tag type ${c}, skipped`),n+=11+g+4;continue}let oe=r.getUint8(4),V=r.getUint8(5),fe=r.getUint8(6),Ve=r.getUint8(7),ze=fe|V<<8|oe<<16|Ve<<24;(r.getUint32(7,!i)&16777215)!==0&&_.w(this.TAG,"Meet tag which has StreamID != 0!");let Ne=n+11;switch(c){case 8:this._parseAudioData(e,Ne,g,ze);break;case 9:this._parseVideoData(e,Ne,g,ze,t+n);break;case 18:this._parseScriptData(e,Ne,g);break}let me=r.getUint32(11+g,!i);me!==11+g&&_.w(this.TAG,`Invalid PrevTagSize ${me}`),n+=11+g+4}return this._isInitialMetadataDispatched()&&this._dispatch&&(this._audioTrack.length||this._videoTrack.length)&&this._onDataAvailable(this._audioTrack,this._videoTrack),n}_parseScriptData(e,t,n){let i=Qe.parseScriptData(e,t,n);if(i.hasOwnProperty("onMetaData")){if(i.onMetaData==null||typeof i.onMetaData!="object"){_.w(this.TAG,"Invalid onMetaData structure!");return}this._metadata&&_.w(this.TAG,"Found another onMetaData tag!"),this._metadata=i;let r=this._metadata.onMetaData;if(this._onMetaDataArrived&&this._onMetaDataArrived(Object.assign({},r)),typeof r.hasAudio=="boolean"&&this._hasAudioFlagOverrided===!1&&(this._hasAudio=r.hasAudio,this._mediaInfo.hasAudio=this._hasAudio),typeof r.hasVideo=="boolean"&&this._hasVideoFlagOverrided===!1&&(this._hasVideo=r.hasVideo,this._mediaInfo.hasVideo=this._hasVideo),typeof r.audiodatarate=="number"&&(this._mediaInfo.audioDataRate=r.audiodatarate),typeof r.videodatarate=="number"&&(this._mediaInfo.videoDataRate=r.videodatarate),typeof r.width=="number"&&(this._mediaInfo.width=r.width),typeof r.height=="number"&&(this._mediaInfo.height=r.height),typeof r.duration=="number"){if(!this._durationOverrided){let c=Math.floor(r.duration*this._timescale);this._duration=c,this._mediaInfo.duration=c}}else this._mediaInfo.duration=0;if(typeof r.framerate=="number"){let c=Math.floor(r.framerate*1e3);if(c>0){let g=c/1e3;this._referenceFrameRate.fixed=!0,this._referenceFrameRate.fps=g,this._referenceFrameRate.fps_num=c,this._referenceFrameRate.fps_den=1e3,this._mediaInfo.fps=g}}if(typeof r.keyframes=="object"){this._mediaInfo.hasKeyframesIndex=!0;let c=r.keyframes;this._mediaInfo.keyframesIndex=this._parseKeyframesIndex(c),r.keyframes=null}else this._mediaInfo.hasKeyframesIndex=!1;this._dispatch=!1,this._mediaInfo.metadata=r,_.v(this.TAG,"Parsed onMetaData"),this._mediaInfo.isComplete()&&this._onMediaInfo(this._mediaInfo)}Object.keys(i).length>0&&this._onScriptDataArrived&&this._onScriptDataArrived(Object.assign({},i))}_parseKeyframesIndex(e){let t=[],n=[];for(let i=1;i>>4;if(oe!==2&&oe!==10){this._onError(h.CODEC_UNSUPPORTED,"Flv: Unsupported audio codec idx: "+oe);return}let V=0,fe=(g&12)>>>2;if(fe>=0&&fe<=4)V=this._flvSoundRateTable[fe];else{this._onError(h.FORMAT_ERROR,"Flv: Invalid audio sample rate idx: "+fe);return}let Ve=(g&2)>>>1,ze=g&1,le=this._audioMetadata,Ne=this._audioTrack;if(le||(this._hasAudio===!1&&this._hasAudioFlagOverrided===!1&&(this._hasAudio=!0,this._mediaInfo.hasAudio=!0),le=this._audioMetadata={},le.type="audio",le.id=Ne.id,le.timescale=this._timescale,le.duration=this._duration,le.audioSampleRate=V,le.channelCount=ze===0?1:2),oe===10){let me=this._parseAACAudioData(e,t+1,n-1);if(me==null)return;if(me.packetType===0){le.config&&_.w(this.TAG,"Found another AudioSpecificConfig!");let G=me.data;le.audioSampleRate=G.samplingRate,le.channelCount=G.channelCount,le.codec=G.codec,le.originalCodec=G.originalCodec,le.config=G.config,le.refSampleDuration=1024/le.audioSampleRate*le.timescale,_.v(this.TAG,"Parsed AudioSpecificConfig"),this._isInitialMetadataDispatched()?this._dispatch&&(this._audioTrack.length||this._videoTrack.length)&&this._onDataAvailable(this._audioTrack,this._videoTrack):this._audioInitialMetadataDispatched=!0,this._dispatch=!1,this._onTrackMetadata("audio",le);let ne=this._mediaInfo;ne.audioCodec=le.originalCodec,ne.audioSampleRate=le.audioSampleRate,ne.audioChannelCount=le.channelCount,ne.hasVideo?ne.videoCodec!=null&&(ne.mimeType='video/x-flv; codecs="'+ne.videoCodec+","+ne.audioCodec+'"'):ne.mimeType='video/x-flv; codecs="'+ne.audioCodec+'"',ne.isComplete()&&this._onMediaInfo(ne)}else if(me.packetType===1){let G=this._timestampBase+i,ne={unit:me.data,length:me.data.byteLength,dts:G,pts:G};Ne.samples.push(ne),Ne.length+=me.data.length}else _.e(this.TAG,`Flv: Unsupported AAC data type ${me.packetType}`)}else if(oe===2){if(!le.codec){let ye=this._parseMP3AudioData(e,t+1,n-1,!0);if(ye==null)return;le.audioSampleRate=ye.samplingRate,le.channelCount=ye.channelCount,le.codec=ye.codec,le.originalCodec=ye.originalCodec,le.refSampleDuration=1152/le.audioSampleRate*le.timescale,_.v(this.TAG,"Parsed MPEG Audio Frame Header"),this._audioInitialMetadataDispatched=!0,this._onTrackMetadata("audio",le);let Le=this._mediaInfo;Le.audioCodec=le.codec,Le.audioSampleRate=le.audioSampleRate,Le.audioChannelCount=le.channelCount,Le.audioDataRate=ye.bitRate,Le.hasVideo?Le.videoCodec!=null&&(Le.mimeType='video/x-flv; codecs="'+Le.videoCodec+","+Le.audioCodec+'"'):Le.mimeType='video/x-flv; codecs="'+Le.audioCodec+'"',Le.isComplete()&&this._onMediaInfo(Le)}let me=this._parseMP3AudioData(e,t+1,n-1,!1);if(me==null)return;let G=this._timestampBase+i,ne={unit:me,length:me.byteLength,dts:G,pts:G};Ne.samples.push(ne),Ne.length+=me.length}}_parseAACAudioData(e,t,n){if(n<=1){_.w(this.TAG,"Flv: Invalid AAC packet, missing AACPacketType or/and Data!");return}let i={},r=new Uint8Array(e,t,n);return i.packetType=r[0],r[0]===0?i.data=this._parseAACAudioSpecificConfig(e,t+1,n-1):i.data=r.subarray(1),i}_parseAACAudioSpecificConfig(e,t,n){let i=new Uint8Array(e,t,n),r=null,c=0,g=0,oe=null,V=0,fe=null;if(c=g=i[0]>>>3,V=(i[0]&7)<<1|i[1]>>>7,V<0||V>=this._mpegSamplingRates.length){this._onError(h.FORMAT_ERROR,"Flv: AAC invalid sampling frequency index!");return}let Ve=this._mpegSamplingRates[V],ze=(i[1]&120)>>>3;if(ze<0||ze>=8){this._onError(h.FORMAT_ERROR,"Flv: AAC invalid channel configuration");return}c===5&&(fe=(i[1]&7)<<1|i[2]>>>7,oe=(i[2]&124)>>>2);let le=self.navigator.userAgent.toLowerCase();return le.indexOf("firefox")!==-1?V>=6?(c=5,r=new Array(4),fe=V-3):(c=2,r=new Array(2),fe=V):le.indexOf("android")!==-1?(c=2,r=new Array(2),fe=V):(c=5,fe=V,r=new Array(4),V>=6?fe=V-3:ze===1&&(c=2,r=new Array(2),fe=V)),r[0]=c<<3,r[0]|=(V&15)>>>1,r[1]=(V&15)<<7,r[1]|=(ze&15)<<3,c===5&&(r[1]|=(fe&15)>>>1,r[2]=(fe&1)<<7,r[2]|=8,r[3]=0),{config:r,samplingRate:Ve,channelCount:ze,codec:"mp4a.40."+c,originalCodec:"mp4a.40."+g}}_parseMP3AudioData(e,t,n,i){if(n<4){_.w(this.TAG,"Flv: Invalid MP3 packet, header missing!");return}let r=this._littleEndian,c=new Uint8Array(e,t,n),g=null;if(i){if(c[0]!==255)return;let oe=c[1]>>>3&3,V=(c[1]&6)>>1,fe=(c[2]&240)>>>4,Ve=(c[2]&12)>>>2,le=(c[3]>>>6&3)!==3?2:1,Ne=0,me=0,G=34,ne="mp3";switch(oe){case 0:Ne=this._mpegAudioV25SampleRateTable[Ve];break;case 2:Ne=this._mpegAudioV20SampleRateTable[Ve];break;case 3:Ne=this._mpegAudioV10SampleRateTable[Ve];break}switch(V){case 1:G=34,fe>>4,oe=c&15;if(oe!==7){this._onError(h.CODEC_UNSUPPORTED,`Flv: Unsupported codec in video frame: ${oe}`);return}this._parseAVCVideoPacket(e,t+1,n-1,i,r,g)}_parseAVCVideoPacket(e,t,n,i,r,c){if(n<4){_.w(this.TAG,"Flv: Invalid AVC packet, missing AVCPacketType or/and CompositionTime");return}let g=this._littleEndian,oe=new DataView(e,t,n),V=oe.getUint8(0),Ve=(oe.getUint32(0,!g)&16777215)<<8>>8;if(V===0)this._parseAVCDecoderConfigurationRecord(e,t+4,n-4);else if(V===1)this._parseAVCVideoData(e,t+4,n-4,i,r,c,Ve);else if(V!==2){this._onError(h.FORMAT_ERROR,`Flv: Invalid video packet type ${V}`);return}}_parseAVCDecoderConfigurationRecord(e,t,n){if(n<7){_.w(this.TAG,"Flv: Invalid AVCDecoderConfigurationRecord, lack of data!");return}let i=this._videoMetadata,r=this._videoTrack,c=this._littleEndian,g=new DataView(e,t,n);i?typeof i.avcc!="undefined"&&_.w(this.TAG,"Found another AVCDecoderConfigurationRecord!"):(this._hasVideo===!1&&this._hasVideoFlagOverrided===!1&&(this._hasVideo=!0,this._mediaInfo.hasVideo=!0),i=this._videoMetadata={},i.type="video",i.id=r.id,i.timescale=this._timescale,i.duration=this._duration);let oe=g.getUint8(0),V=g.getUint8(1),fe=g.getUint8(2),Ve=g.getUint8(3);if(oe!==1||V===0){this._onError(h.FORMAT_ERROR,"Flv: Invalid AVCDecoderConfigurationRecord");return}if(this._naluLengthSize=(g.getUint8(4)&3)+1,this._naluLengthSize!==3&&this._naluLengthSize!==4){this._onError(h.FORMAT_ERROR,`Flv: Strange NaluLengthSizeMinusOne: ${this._naluLengthSize-1}`);return}let ze=g.getUint8(5)&31;if(ze===0){this._onError(h.FORMAT_ERROR,"Flv: Invalid AVCDecoderConfigurationRecord: No SPS");return}else ze>1&&_.w(this.TAG,`Flv: Strange AVCDecoderConfigurationRecord: SPS Count = ${ze}`);let le=6;for(let me=0;me1&&_.w(this.TAG,`Flv: Strange AVCDecoderConfigurationRecord: PPS Count = ${Ne}`);le++;for(let me=0;me=n){_.w(this.TAG,`Malformed Nalu near timestamp ${Ne}, offset = ${ze}, dataSize = ${n}`);break}let G=V.getUint32(ze,!oe);if(le===3&&(G>>>=8),G>n-le){_.w(this.TAG,`Malformed Nalus near timestamp ${Ne}, NaluSize > DataSize!`);return}let ne=V.getUint8(ze+le)&31;ne===5&&(me=!0);let ye=new Uint8Array(e,t+ze,le+G),Le={type:ne,data:ye};fe.push(Le),Ve+=ye.byteLength,ze+=le+G}if(fe.length){let G=this._videoTrack,ne={units:fe,length:Ve,isKeyframe:me,dts:Ne,cts:g,pts:Ne+g};me&&(ne.fileposition=r),G.samples.push(ne),G.length+=Ve}}}var x=m;class l{static init(){l.types={avc1:[],avcC:[],btrt:[],dinf:[],dref:[],esds:[],ftyp:[],hdlr:[],mdat:[],mdhd:[],mdia:[],mfhd:[],minf:[],moof:[],moov:[],mp4a:[],mvex:[],mvhd:[],sdtp:[],stbl:[],stco:[],stsc:[],stsd:[],stsz:[],stts:[],tfdt:[],tfhd:[],traf:[],trak:[],trun:[],trex:[],tkhd:[],vmhd:[],smhd:[],".mp3":[]};for(let t in l.types)l.types.hasOwnProperty(t)&&(l.types[t]=[t.charCodeAt(0),t.charCodeAt(1),t.charCodeAt(2),t.charCodeAt(3)]);let e=l.constants={};e.FTYP=new Uint8Array([105,115,111,109,0,0,0,1,105,115,111,109,97,118,99,49]),e.STSD_PREFIX=new Uint8Array([0,0,0,0,0,0,0,1]),e.STTS=new Uint8Array([0,0,0,0,0,0,0,0]),e.STSC=e.STCO=e.STTS,e.STSZ=new Uint8Array([0,0,0,0,0,0,0,0,0,0,0,0]),e.HDLR_VIDEO=new Uint8Array([0,0,0,0,0,0,0,0,118,105,100,101,0,0,0,0,0,0,0,0,0,0,0,0,86,105,100,101,111,72,97,110,100,108,101,114,0]),e.HDLR_AUDIO=new Uint8Array([0,0,0,0,0,0,0,0,115,111,117,110,0,0,0,0,0,0,0,0,0,0,0,0,83,111,117,110,100,72,97,110,100,108,101,114,0]),e.DREF=new Uint8Array([0,0,0,0,0,0,0,1,0,0,0,12,117,114,108,32,0,0,0,1]),e.SMHD=new Uint8Array([0,0,0,0,0,0,0,0]),e.VMHD=new Uint8Array([0,0,0,1,0,0,0,0,0,0,0,0])}static box(e){let t=8,n=null,i=Array.prototype.slice.call(arguments,1),r=i.length;for(let g=0;g>>24&255,n[1]=t>>>16&255,n[2]=t>>>8&255,n[3]=t&255,n.set(e,4);let c=8;for(let g=0;g>>24&255,e>>>16&255,e>>>8&255,e&255,t>>>24&255,t>>>16&255,t>>>8&255,t&255,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,64,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,255,255,255,255]))}static trak(e){return l.box(l.types.trak,l.tkhd(e),l.mdia(e))}static tkhd(e){let t=e.id,n=e.duration,i=e.presentWidth,r=e.presentHeight;return l.box(l.types.tkhd,new Uint8Array([0,0,0,7,0,0,0,0,0,0,0,0,t>>>24&255,t>>>16&255,t>>>8&255,t&255,0,0,0,0,n>>>24&255,n>>>16&255,n>>>8&255,n&255,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,64,0,0,0,i>>>8&255,i&255,0,0,r>>>8&255,r&255,0,0]))}static mdia(e){return l.box(l.types.mdia,l.mdhd(e),l.hdlr(e),l.minf(e))}static mdhd(e){let t=e.timescale,n=e.duration;return l.box(l.types.mdhd,new Uint8Array([0,0,0,0,0,0,0,0,0,0,0,0,t>>>24&255,t>>>16&255,t>>>8&255,t&255,n>>>24&255,n>>>16&255,n>>>8&255,n&255,85,196,0,0]))}static hdlr(e){let t=null;return e.type==="audio"?t=l.constants.HDLR_AUDIO:t=l.constants.HDLR_VIDEO,l.box(l.types.hdlr,t)}static minf(e){let t=null;return e.type==="audio"?t=l.box(l.types.smhd,l.constants.SMHD):t=l.box(l.types.vmhd,l.constants.VMHD),l.box(l.types.minf,t,l.dinf(),l.stbl(e))}static dinf(){return l.box(l.types.dinf,l.box(l.types.dref,l.constants.DREF))}static stbl(e){return l.box(l.types.stbl,l.stsd(e),l.box(l.types.stts,l.constants.STTS),l.box(l.types.stsc,l.constants.STSC),l.box(l.types.stsz,l.constants.STSZ),l.box(l.types.stco,l.constants.STCO))}static stsd(e){return e.type==="audio"?e.codec==="mp3"?l.box(l.types.stsd,l.constants.STSD_PREFIX,l.mp3(e)):l.box(l.types.stsd,l.constants.STSD_PREFIX,l.mp4a(e)):l.box(l.types.stsd,l.constants.STSD_PREFIX,l.avc1(e))}static mp3(e){let t=e.channelCount,n=e.audioSampleRate,i=new Uint8Array([0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,t,0,16,0,0,0,0,n>>>8&255,n&255,0,0]);return l.box(l.types[".mp3"],i)}static mp4a(e){let t=e.channelCount,n=e.audioSampleRate,i=new Uint8Array([0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,t,0,16,0,0,0,0,n>>>8&255,n&255,0,0]);return l.box(l.types.mp4a,i,l.esds(e))}static esds(e){let t=e.config||[],n=t.length,i=new Uint8Array([0,0,0,0,3,23+n,0,1,0,4,15+n,64,21,0,0,0,0,0,0,0,0,0,0,0,5].concat([n]).concat(t).concat([6,1,2]));return l.box(l.types.esds,i)}static avc1(e){let t=e.avcc,n=e.codecWidth,i=e.codecHeight,r=new Uint8Array([0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,n>>>8&255,n&255,i>>>8&255,i&255,0,72,0,0,0,72,0,0,0,0,0,0,0,1,10,120,113,113,47,102,108,118,46,106,115,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,24,255,255]);return l.box(l.types.avc1,r,l.box(l.types.avcC,t))}static mvex(e){return l.box(l.types.mvex,l.trex(e))}static trex(e){let t=e.id,n=new Uint8Array([0,0,0,0,t>>>24&255,t>>>16&255,t>>>8&255,t&255,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,1]);return l.box(l.types.trex,n)}static moof(e,t){return l.box(l.types.moof,l.mfhd(e.sequenceNumber),l.traf(e,t))}static mfhd(e){let t=new Uint8Array([0,0,0,0,e>>>24&255,e>>>16&255,e>>>8&255,e&255]);return l.box(l.types.mfhd,t)}static traf(e,t){let n=e.id,i=l.box(l.types.tfhd,new Uint8Array([0,0,0,0,n>>>24&255,n>>>16&255,n>>>8&255,n&255])),r=l.box(l.types.tfdt,new Uint8Array([0,0,0,0,t>>>24&255,t>>>16&255,t>>>8&255,t&255])),c=l.sdtp(e),g=l.trun(e,c.byteLength+16+16+8+16+8+8);return l.box(l.types.traf,i,r,g,c)}static sdtp(e){let t=e.samples||[],n=t.length,i=new Uint8Array(4+n);for(let r=0;r>>24&255,i>>>16&255,i>>>8&255,i&255,t>>>24&255,t>>>16&255,t>>>8&255,t&255],0);for(let g=0;g>>24&255,oe>>>16&255,oe>>>8&255,oe&255,V>>>24&255,V>>>16&255,V>>>8&255,V&255,fe.isLeading<<2|fe.dependsOn,fe.isDependedOn<<6|fe.hasRedundancy<<4|fe.isNonSync,0,0,Ve>>>24&255,Ve>>>16&255,Ve>>>8&255,Ve&255],12+16*g)}return l.box(l.types.trun,c)}static mdat(e){return l.box(l.types.mdat,e)}}l.init();var R=l;class W{static getSilentFrame(e,t){if(e==="mp4a.40.2"){if(t===1)return new Uint8Array([0,200,0,128,35,128]);if(t===2)return new Uint8Array([33,0,73,144,2,25,0,35,128]);if(t===3)return new Uint8Array([0,200,0,128,32,132,1,38,64,8,100,0,142]);if(t===4)return new Uint8Array([0,200,0,128,32,132,1,38,64,8,100,0,128,44,128,8,2,56]);if(t===5)return new Uint8Array([0,200,0,128,32,132,1,38,64,8,100,0,130,48,4,153,0,33,144,2,56]);if(t===6)return new Uint8Array([0,200,0,128,32,132,1,38,64,8,100,0,130,48,4,153,0,33,144,2,0,178,0,32,8,224])}else{if(t===1)return new Uint8Array([1,64,34,128,163,78,230,128,186,8,0,0,0,28,6,241,193,10,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,94]);if(t===2)return new Uint8Array([1,64,34,128,163,94,230,128,186,8,0,0,0,0,149,0,6,241,161,10,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,94]);if(t===3)return new Uint8Array([1,64,34,128,163,94,230,128,186,8,0,0,0,0,149,0,6,241,161,10,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,94])}return null}}var de=W;class De{constructor(e,t,n,i,r){this.dts=e,this.pts=t,this.duration=n,this.originalDts=i,this.isSyncPoint=r,this.fileposition=null}}class Fe{constructor(){this.beginDts=0,this.endDts=0,this.beginPts=0,this.endPts=0,this.originalBeginDts=0,this.originalEndDts=0,this.syncPoints=[],this.firstSample=null,this.lastSample=null}appendSyncPoint(e){e.isSyncPoint=!0,this.syncPoints.push(e)}}class ge{constructor(){this._list=[]}clear(){this._list=[]}appendArray(e){let t=this._list;e.length!==0&&(t.length>0&&e[0].originalDts=t[r].dts&&et[i].lastSample.originalDts&&e=t[i].lastSample.originalDts&&(i===t.length-1||i0&&(r=this._searchNearestSegmentBefore(n.originalBeginDts)+1),this._lastAppendLocation=r,this._list.splice(r,0,n)}getLastSegmentBefore(e){let t=this._searchNearestSegmentBefore(e);return t>=0?this._list[t]:null}getLastSampleBefore(e){let t=this.getLastSegmentBefore(e);return t!=null?t.lastSample:null}getLastSyncPointBefore(e){let t=this._searchNearestSegmentBefore(e),n=this._list[t].syncPoints;for(;n.length===0&&t>0;)t--,n=this._list[t].syncPoints;return n.length>0?n[n.length-1]:null}}class Ce{constructor(e){this.TAG="MP4Remuxer",this._config=e,this._isLive=e.isLive===!0,this._dtsBase=-1,this._dtsBaseInited=!1,this._audioDtsBase=1/0,this._videoDtsBase=1/0,this._audioNextDts=void 0,this._videoNextDts=void 0,this._audioStashedLastSample=null,this._videoStashedLastSample=null,this._audioMeta=null,this._videoMeta=null,this._audioSegmentInfoList=new ke("audio"),this._videoSegmentInfoList=new ke("video"),this._onInitSegment=null,this._onMediaSegment=null,this._forceFirstIDR=!!(E.chrome&&(E.version.major<50||E.version.major===50&&E.version.build<2661)),this._fillSilentAfterSeek=E.msedge||E.msie,this._mp3UseMpegAudio=!E.firefox,this._fillAudioTimestampGap=this._config.fixAudioTimestampGap}destroy(){this._dtsBase=-1,this._dtsBaseInited=!1,this._audioMeta=null,this._videoMeta=null,this._audioSegmentInfoList.clear(),this._audioSegmentInfoList=null,this._videoSegmentInfoList.clear(),this._videoSegmentInfoList=null,this._onInitSegment=null,this._onMediaSegment=null}bindDataSource(e){return e.onDataAvailable=this.remux.bind(this),e.onTrackMetadata=this._onTrackMetadataReceived.bind(this),this}get onInitSegment(){return this._onInitSegment}set onInitSegment(e){this._onInitSegment=e}get onMediaSegment(){return this._onMediaSegment}set onMediaSegment(e){this._onMediaSegment=e}insertDiscontinuity(){this._audioNextDts=this._videoNextDts=void 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this._extraData}set extraData(e){this._extraData=e}get onDataArrival(){return this._onDataArrival}set onDataArrival(e){this._onDataArrival=e}get onSeeked(){return this._onSeeked}set onSeeked(e){this._onSeeked=e}get onError(){return this._onError}set onError(e){this._onError=e}get onComplete(){return this._onComplete}set onComplete(e){this._onComplete=e}get onRedirect(){return this._onRedirect}set onRedirect(e){this._onRedirect=e}get onRecoveredEarlyEof(){return this._onRecoveredEarlyEof}set onRecoveredEarlyEof(e){this._onRecoveredEarlyEof=e}get currentURL(){return this._dataSource.url}get hasRedirect(){return this._redirectedURL!=null||this._dataSource.redirectedURL!=null}get currentRedirectedURL(){return this._redirectedURL||this._dataSource.redirectedURL}get currentSpeed(){return this._loaderClass===J?this._loader.currentSpeed:this._speedSampler.lastSecondKBps}get loaderType(){return this._loader.type}_selectSeekHandler(){let e=this._config;if(e.seekType==="range")this._seekHandler=new Se(this._config.rangeLoadZeroStart);else if(e.seekType==="param"){let t=e.seekParamStart||"bstart",n=e.seekParamEnd||"bend";this._seekHandler=new Ae(t,n)}else if(e.seekType==="custom"){if(typeof e.customSeekHandler!="function")throw new re("Custom seekType specified in config but invalid customSeekHandler!");this._seekHandler=new e.customSeekHandler}else throw new re(`Invalid seekType in config: ${e.seekType}`)}_selectLoader(){if(this._config.customLoader!=null)this._loaderClass=this._config.customLoader;else if(this._isWebSocketURL)this._loaderClass=he;else if(y.isSupported())this._loaderClass=y;else if(I.isSupported())this._loaderClass=I;else if(J.isSupported())this._loaderClass=J;else throw new N("Your browser doesn't support xhr with arraybuffer responseType!")}_createLoader(){this._loader=new this._loaderClass(this._seekHandler,this._config),this._loader.needStashBuffer===!1&&(this._enableStash=!1),this._loader.onContentLengthKnown=this._onContentLengthKnown.bind(this),this._loader.onURLRedirect=this._onURLRedirect.bind(this),this._loader.onDataArrival=this._onLoaderChunkArrival.bind(this),this._loader.onComplete=this._onLoaderComplete.bind(this),this._loader.onError=this._onLoaderError.bind(this)}open(e){this._currentRange={from:0,to:-1},e&&(this._currentRange.from=e),this._speedSampler.reset(),e||(this._fullRequestFlag=!0),this._loader.open(this._dataSource,Object.assign({},this._currentRange))}abort(){this._loader.abort(),this._paused&&(this._paused=!1,this._resumeFrom=0)}pause(){this.isWorking()&&(this._loader.abort(),this._stashUsed!==0?(this._resumeFrom=this._stashByteStart,this._currentRange.to=this._stashByteStart-1):this._resumeFrom=this._currentRange.to+1,this._stashUsed=0,this._stashByteStart=0,this._paused=!0)}resume(){if(this._paused){this._paused=!1;let e=this._resumeFrom;this._resumeFrom=0,this._internalSeek(e,!0)}}seek(e){this._paused=!1,this._stashUsed=0,this._stashByteStart=0,this._internalSeek(e,!0)}_internalSeek(e,t){this._loader.isWorking()&&this._loader.abort(),this._flushStashBuffer(t),this._loader.destroy(),this._loader=null;let n={from:e,to:-1};this._currentRange={from:n.from,to:-1},this._speedSampler.reset(),this._stashSize=this._stashInitialSize,this._createLoader(),this._loader.open(this._dataSource,n),this._onSeeked&&this._onSeeked()}updateUrl(e){if(!e||typeof e!="string"||e.length===0)throw new re("Url must be a non-empty string!");this._dataSource.url=e}_expandBuffer(e){let t=this._stashSize;for(;t+1024*1024*10){let i=new Uint8Array(this._stashBuffer,0,this._stashUsed);new Uint8Array(n,0,t).set(i,0)}this._stashBuffer=n,this._bufferSize=t}_normalizeSpeed(e){let t=this._speedNormalizeList,n=t.length-1,i=0,r=0,c=n;if(e=t[i]&&e=512&&e<=1024?t=Math.floor(e*1.5):t=e*2,t>8192&&(t=8192);let n=t*1024+1024*1024*1;this._bufferSize0){let c=this._stashBuffer.slice(0,this._stashUsed),g=this._dispatchChunks(c,this._stashByteStart);if(g0){let oe=new Uint8Array(c,g);r.set(oe,0),this._stashUsed=oe.byteLength,this._stashByteStart+=g}}else this._stashUsed=0,this._stashByteStart+=g;this._stashUsed+e.byteLength>this._bufferSize&&(this._expandBuffer(this._stashUsed+e.byteLength),r=new Uint8Array(this._stashBuffer,0,this._bufferSize)),r.set(new Uint8Array(e),this._stashUsed),this._stashUsed+=e.byteLength}else{let c=this._dispatchChunks(e,t);if(cthis._bufferSize&&(this._expandBuffer(g),r=new Uint8Array(this._stashBuffer,0,this._bufferSize)),r.set(new Uint8Array(e,c),0),this._stashUsed+=g,this._stashByteStart=t+c}}}else if(this._stashUsed===0){let r=this._dispatchChunks(e,t);if(rthis._bufferSize&&this._expandBuffer(c),new Uint8Array(this._stashBuffer,0,this._bufferSize).set(new Uint8Array(e,r),0),this._stashUsed+=c,this._stashByteStart=t+r}}else{this._stashUsed+e.byteLength>this._bufferSize&&this._expandBuffer(this._stashUsed+e.byteLength);let r=new Uint8Array(this._stashBuffer,0,this._bufferSize);r.set(new Uint8Array(e),this._stashUsed),this._stashUsed+=e.byteLength;let c=this._dispatchChunks(this._stashBuffer.slice(0,this._stashUsed),this._stashByteStart);if(c0){let g=new Uint8Array(this._stashBuffer,c);r.set(g,0)}this._stashUsed-=c,this._stashByteStart+=c}}_flushStashBuffer(e){if(this._stashUsed>0){let t=this._stashBuffer.slice(0,this._stashUsed),n=this._dispatchChunks(t,this._stashByteStart),i=t.byteLength-n;if(n0){let r=new Uint8Array(this._stashBuffer,0,this._bufferSize),c=new Uint8Array(t,n);r.set(c,0),this._stashUsed=c.byteLength,this._stashByteStart+=n}return 0}return this._stashUsed=0,this._stashByteStart=0,i}return 0}_onLoaderComplete(e,t){this._flushStashBuffer(!0),this._onComplete&&this._onComplete(this._extraData)}_onLoaderError(e,t){switch(_.e(this.TAG,`Loader error, code = ${t.code}, msg = ${t.msg}`),this._flushStashBuffer(!1),this._isEarlyEofReconnecting&&(this._isEarlyEofReconnecting=!1,e=H.UNRECOVERABLE_EARLY_EOF),e){case H.EARLY_EOF:{if(!this._config.isLive&&this._totalLength){let n=this._currentRange.to+1;n0){let t=ae.getConfig();e.emit("change",t)}}static registerListener(e){ae.emitter.addListener("change",e)}static removeListener(e){ae.emitter.removeListener("change",e)}static addLogListener(e){_.emitter.addListener("log",e),_.emitter.listenerCount("log")>0&&(_.ENABLE_CALLBACK=!0,ae._notifyChange())}static removeLogListener(e){_.emitter.removeListener("log",e),_.emitter.listenerCount("log")===0&&(_.ENABLE_CALLBACK=!1,ae._notifyChange())}}ae.emitter=new(P());var _e=ae;class Ue{constructor(){this.mimeType=null,this.duration=null,this.hasAudio=null,this.hasVideo=null,this.audioCodec=null,this.videoCodec=null,this.audioDataRate=null,this.videoDataRate=null,this.audioSampleRate=null,this.audioChannelCount=null,this.width=null,this.height=null,this.fps=null,this.profile=null,this.level=null,this.refFrames=null,this.chromaFormat=null,this.sarNum=null,this.sarDen=null,this.metadata=null,this.segments=null,this.segmentCount=null,this.hasKeyframesIndex=null,this.keyframesIndex=null}isComplete(){let e=this.hasAudio===!1||this.hasAudio===!0&&this.audioCodec!=null&&this.audioSampleRate!=null&&this.audioChannelCount!=null,t=this.hasVideo===!1||this.hasVideo===!0&&this.videoCodec!=null&&this.width!=null&&this.height!=null&&this.fps!=null&&this.profile!=null&&this.level!=null&&this.refFrames!=null&&this.chromaFormat!=null&&this.sarNum!=null&&this.sarDen!=null;return this.mimeType!=null&&this.duration!=null&&this.metadata!=null&&this.hasKeyframesIndex!=null&&e&&t}isSeekable(){return this.hasKeyframesIndex===!0}getNearestKeyframe(e){if(this.keyframesIndex==null)return null;let t=this.keyframesIndex,n=this._search(t.times,e);return{index:n,milliseconds:t.times[n],fileposition:t.filepositions[n]}}_search(e,t){let n=0,i=e.length-1,r=0,c=0,g=i;for(t=e[r]&&t=128){e.push(String.fromCharCode(r&65535)),n+=2;continue}}}else if(t[n]<240){if(je(t,n,2)){let r=(t[n]&15)<<12|(t[n+1]&63)<<6|t[n+2]&63;if(r>=2048&&(r&63488)!==55296){e.push(String.fromCharCode(r&65535)),n+=3;continue}}}else if(t[n]<248&&je(t,n,3)){let r=(t[n]&7)<<18|(t[n+1]&63)<<12|(t[n+2]&63)<<6|t[n+3]&63;if(r>65536&&r<1114112){r-=65536,e.push(String.fromCharCode(r>>>10|55296)),e.push(String.fromCharCode(r&1023|56320)),n+=4;continue}}}e.push("\uFFFD"),++n}return e.join("")}var nt=Xe;let Me=function(){let K=new ArrayBuffer(2);return new DataView(K).setInt16(0,256,!0),new Int16Array(K)[0]===256}();class He{static parseScriptData(e,t,n){let i={};try{let r=He.parseValue(e,t,n),c=He.parseValue(e,t+r.size,n-r.size);i[r.data]=c.data}catch(r){_.e("AMF",r.toString())}return i}static parseObject(e,t,n){if(n<3)throw new q("Data not enough when parse ScriptDataObject");let i=He.parseString(e,t,n),r=He.parseValue(e,t+i.size,n-i.size),c=r.objectEnd;return{data:{name:i.data,value:r.data},size:i.size+r.size,objectEnd:c}}static parseVariable(e,t,n){return He.parseObject(e,t,n)}static parseString(e,t,n){if(n<2)throw new q("Data not enough when parse String");let r=new DataView(e,t,n).getUint16(0,!Me),c;return r>0?c=nt(new Uint8Array(e,t+2,r)):c="",{data:c,size:2+r}}static parseLongString(e,t,n){if(n<4)throw new q("Data not enough when parse LongString");let r=new DataView(e,t,n).getUint32(0,!Me),c;return r>0?c=nt(new Uint8Array(e,t+4,r)):c="",{data:c,size:4+r}}static parseDate(e,t,n){if(n<10)throw new q("Data size invalid when parse Date");let i=new DataView(e,t,n),r=i.getFloat64(0,!Me),c=i.getInt16(8,!Me);return r+=c*60*1e3,{data:new Date(r),size:10}}static parseValue(e,t,n){if(n<1)throw new q("Data not enough when parse Value");let i=new DataView(e,t,n),r=1,c=i.getUint8(0),g,oe=!1;try{switch(c){case 0:g=i.getFloat64(1,!Me),r+=8;break;case 1:{g=!!i.getUint8(1),r+=1;break}case 2:{let V=He.parseString(e,t+1,n-1);g=V.data,r+=V.size;break}case 3:{g={};let V=0;for((i.getUint32(n-4,!Me)&16777215)===9&&(V=3);r32)throw new re("ExpGolomb: readBits() bits exceeded max 32bits!");if(e<=this._current_word_bits_left){let c=this._current_word>>>32-e;return this._current_word<<=e,this._current_word_bits_left-=e,c}let t=this._current_word_bits_left?this._current_word:0;t=t>>>32-this._current_word_bits_left;let n=e-this._current_word_bits_left;this._fillCurrentWord();let i=Math.min(n,this._current_word_bits_left),r=this._current_word>>>32-i;return this._current_word<<=i,this._current_word_bits_left-=i,t=t<>>e)return this._current_word<<=e,this._current_word_bits_left-=e,e;return this._fillCurrentWord(),e+this._skipLeadingZero()}readUEG(){let e=this._skipLeadingZero();return this.readBits(e+1)-1}readSEG(){let e=this.readUEG();return e&1?e+1>>>1:-1*(e>>>1)}}var et=Je;class B{static _ebsp2rbsp(e){let t=e,n=t.byteLength,i=new Uint8Array(n),r=0;for(let c=0;c=2&&t[c]===3&&t[c-1]===0&&t[c-2]===0||(i[r]=t[c],r++);return new Uint8Array(i.buffer,0,r)}static parseSPS(e){let t=B._ebsp2rbsp(e),n=new et(t);n.readByte();let i=n.readByte();n.readByte();let r=n.readByte();n.readUEG();let c=B.getProfileString(i),g=B.getLevelString(r),oe=1,V=420,fe=[0,420,422,444],Ve=8;if((i===100||i===110||i===122||i===244||i===44||i===83||i===86||i===118||i===128||i===138||i===144)&&(oe=n.readUEG(),oe===3&&n.readBits(1),oe<=3&&(V=fe[oe]),Ve=n.readUEG()+8,n.readUEG(),n.readBits(1),n.readBool())){let Ke=oe!==3?8:12;for(let Pe=0;Pe0&&Ke<16?(Et=Pe[Ke-1],ve=rt[Ke-1]):Ke===255&&(Et=n.readByte()<<8|n.readByte(),ve=n.readByte()<<8|n.readByte())}if(n.readBool()&&n.readBool(),n.readBool()&&(n.readBits(4),n.readBool()&&n.readBits(24)),n.readBool()&&(n.readUEG(),n.readUEG()),n.readBool()){let Ke=n.readBits(32),Pe=n.readBits(32);p=n.readBool(),v=Pe,D=Ke*2,pe=v/D}}let k=1;(Et!==1||ve!==1)&&(k=Et/ve);let X=0,z=0;if(oe===0)X=1,z=2-G;else{let Ke=oe===3?1:2,Pe=oe===1?2:1;X=Ke,z=Pe*(2-G)}let be=(Ne+1)*16,Ze=(2-G)*((me+1)*16);be-=(ne+ye)*X,Ze-=(Le+Ye)*z;let Te=Math.ceil(be*k);return n.destroy(),n=null,{profile_string:c,level_string:g,bit_depth:Ve,ref_frames:le,chroma_format:V,chroma_format_string:B.getChromaFormatString(V),frame_rate:{fixed:p,fps:pe,fps_den:D,fps_num:v},sar_ratio:{width:Et,height:ve},codec_size:{width:be,height:Ze},present_size:{width:Te,height:Ze}}}static _skipScalingList(e,t){let n=8,i=8,r=0;for(let c=0;c>>8&255|(K&255)<<8}function $(K){return(K&4278190080)>>>24|(K&16711680)>>>8|(K&65280)<<8|(K&255)<<24}function d(K,e){return K[e]<<24|K[e+1]<<16|K[e+2]<<8|K[e+3]}class m{constructor(e,t){this.TAG="FLVDemuxer",this._config=t,this._onError=null,this._onMediaInfo=null,this._onMetaDataArrived=null,this._onScriptDataArrived=null,this._onTrackMetadata=null,this._onDataAvailable=null,this._dataOffset=e.dataOffset,this._firstParse=!0,this._dispatch=!1,this._hasAudio=e.hasAudioTrack,this._hasVideo=e.hasVideoTrack,this._hasAudioFlagOverrided=!1,this._hasVideoFlagOverrided=!1,this._audioInitialMetadataDispatched=!1,this._videoInitialMetadataDispatched=!1,this._mediaInfo=new $e,this._mediaInfo.hasAudio=this._hasAudio,this._mediaInfo.hasVideo=this._hasVideo,this._metadata=null,this._audioMetadata=null,this._videoMetadata=null,this._naluLengthSize=4,this._timestampBase=0,this._timescale=1e3,this._duration=0,this._durationOverrided=!1,this._referenceFrameRate={fixed:!0,fps:23.976,fps_num:23976,fps_den:1e3},this._flvSoundRateTable=[5500,11025,22050,44100,48e3],this._mpegSamplingRates=[96e3,88200,64e3,48e3,44100,32e3,24e3,22050,16e3,12e3,11025,8e3,7350],this._mpegAudioV10SampleRateTable=[44100,48e3,32e3,0],this._mpegAudioV20SampleRateTable=[22050,24e3,16e3,0],this._mpegAudioV25SampleRateTable=[11025,12e3,8e3,0],this._mpegAudioL1BitRateTable=[0,32,64,96,128,160,192,224,256,288,320,352,384,416,448,-1],this._mpegAudioL2BitRateTable=[0,32,48,56,64,80,96,112,128,160,192,224,256,320,384,-1],this._mpegAudioL3BitRateTable=[0,32,40,48,56,64,80,96,112,128,160,192,224,256,320,-1],this._videoTrack={type:"video",id:1,sequenceNumber:0,samples:[],length:0},this._audioTrack={type:"audio",id:2,sequenceNumber:0,samples:[],length:0},this._littleEndian=function(){let n=new ArrayBuffer(2);return new DataView(n).setInt16(0,256,!0),new Int16Array(n)[0]===256}()}destroy(){this._mediaInfo=null,this._metadata=null,this._audioMetadata=null,this._videoMetadata=null,this._videoTrack=null,this._audioTrack=null,this._onError=null,this._onMediaInfo=null,this._onMetaDataArrived=null,this._onScriptDataArrived=null,this._onTrackMetadata=null,this._onDataAvailable=null}static probe(e){let t=new Uint8Array(e),n={match:!1};if(t[0]!==70||t[1]!==76||t[2]!==86||t[3]!==1)return n;let i=(t[4]&4)>>>2!==0,r=(t[4]&1)!==0,c=d(t,5);return c<9?n:{match:!0,consumed:c,dataOffset:c,hasAudioTrack:i,hasVideoTrack:r}}bindDataSource(e){return e.onDataArrival=this.parseChunks.bind(this),this}get onTrackMetadata(){return this._onTrackMetadata}set onTrackMetadata(e){this._onTrackMetadata=e}get onMediaInfo(){return this._onMediaInfo}set onMediaInfo(e){this._onMediaInfo=e}get onMetaDataArrived(){return this._onMetaDataArrived}set onMetaDataArrived(e){this._onMetaDataArrived=e}get onScriptDataArrived(){return this._onScriptDataArrived}set onScriptDataArrived(e){this._onScriptDataArrived=e}get onError(){return this._onError}set onError(e){this._onError=e}get onDataAvailable(){return this._onDataAvailable}set onDataAvailable(e){this._onDataAvailable=e}get timestampBase(){return this._timestampBase}set timestampBase(e){this._timestampBase=e}get overridedDuration(){return this._duration}set overridedDuration(e){this._durationOverrided=!0,this._duration=e,this._mediaInfo.duration=e}set overridedHasAudio(e){this._hasAudioFlagOverrided=!0,this._hasAudio=e,this._mediaInfo.hasAudio=e}set overridedHasVideo(e){this._hasVideoFlagOverrided=!0,this._hasVideo=e,this._mediaInfo.hasVideo=e}resetMediaInfo(){this._mediaInfo=new $e}_isInitialMetadataDispatched(){return this._hasAudio&&this._hasVideo?this._audioInitialMetadataDispatched&&this._videoInitialMetadataDispatched:this._hasAudio&&!this._hasVideo?this._audioInitialMetadataDispatched:!this._hasAudio&&this._hasVideo?this._videoInitialMetadataDispatched:!1}parseChunks(e,t){if(!this._onError||!this._onMediaInfo||!this._onTrackMetadata||!this._onDataAvailable)throw new q("Flv: onError & onMediaInfo & onTrackMetadata & onDataAvailable callback must be specified");let n=0,i=this._littleEndian;if(t===0)if(e.byteLength>13)n=m.probe(e).dataOffset;else return 0;for(this._firstParse&&(this._firstParse=!1,t+n!==this._dataOffset&&_.w(this.TAG,"First time parsing but chunk byteStart invalid!"),new DataView(e,n).getUint32(0,!i)!==0&&_.w(this.TAG,"PrevTagSize0 !== 0 !!!"),n+=4);ne.byteLength)break;let c=r.getUint8(0),g=r.getUint32(0,!i)&16777215;if(n+11+g+4>e.byteLength)break;if(c!==8&&c!==9&&c!==18){_.w(this.TAG,`Unsupported tag type ${c}, skipped`),n+=11+g+4;continue}let oe=r.getUint8(4),V=r.getUint8(5),fe=r.getUint8(6),Ve=r.getUint8(7),ze=fe|V<<8|oe<<16|Ve<<24;(r.getUint32(7,!i)&16777215)!==0&&_.w(this.TAG,"Meet tag which has StreamID != 0!");let Ne=n+11;switch(c){case 8:this._parseAudioData(e,Ne,g,ze);break;case 9:this._parseVideoData(e,Ne,g,ze,t+n);break;case 18:this._parseScriptData(e,Ne,g);break}let me=r.getUint32(11+g,!i);me!==11+g&&_.w(this.TAG,`Invalid PrevTagSize ${me}`),n+=11+g+4}return this._isInitialMetadataDispatched()&&this._dispatch&&(this._audioTrack.length||this._videoTrack.length)&&this._onDataAvailable(this._audioTrack,this._videoTrack),n}_parseScriptData(e,t,n){let i=Qe.parseScriptData(e,t,n);if(i.hasOwnProperty("onMetaData")){if(i.onMetaData==null||typeof i.onMetaData!="object"){_.w(this.TAG,"Invalid onMetaData structure!");return}this._metadata&&_.w(this.TAG,"Found another onMetaData tag!"),this._metadata=i;let r=this._metadata.onMetaData;if(this._onMetaDataArrived&&this._onMetaDataArrived(Object.assign({},r)),typeof r.hasAudio=="boolean"&&this._hasAudioFlagOverrided===!1&&(this._hasAudio=r.hasAudio,this._mediaInfo.hasAudio=this._hasAudio),typeof r.hasVideo=="boolean"&&this._hasVideoFlagOverrided===!1&&(this._hasVideo=r.hasVideo,this._mediaInfo.hasVideo=this._hasVideo),typeof r.audiodatarate=="number"&&(this._mediaInfo.audioDataRate=r.audiodatarate),typeof r.videodatarate=="number"&&(this._mediaInfo.videoDataRate=r.videodatarate),typeof r.width=="number"&&(this._mediaInfo.width=r.width),typeof r.height=="number"&&(this._mediaInfo.height=r.height),typeof r.duration=="number"){if(!this._durationOverrided){let c=Math.floor(r.duration*this._timescale);this._duration=c,this._mediaInfo.duration=c}}else this._mediaInfo.duration=0;if(typeof r.framerate=="number"){let c=Math.floor(r.framerate*1e3);if(c>0){let g=c/1e3;this._referenceFrameRate.fixed=!0,this._referenceFrameRate.fps=g,this._referenceFrameRate.fps_num=c,this._referenceFrameRate.fps_den=1e3,this._mediaInfo.fps=g}}if(typeof r.keyframes=="object"){this._mediaInfo.hasKeyframesIndex=!0;let c=r.keyframes;this._mediaInfo.keyframesIndex=this._parseKeyframesIndex(c),r.keyframes=null}else this._mediaInfo.hasKeyframesIndex=!1;this._dispatch=!1,this._mediaInfo.metadata=r,_.v(this.TAG,"Parsed onMetaData"),this._mediaInfo.isComplete()&&this._onMediaInfo(this._mediaInfo)}Object.keys(i).length>0&&this._onScriptDataArrived&&this._onScriptDataArrived(Object.assign({},i))}_parseKeyframesIndex(e){let t=[],n=[];for(let i=1;i>>4;if(oe!==2&&oe!==10){this._onError(h.CODEC_UNSUPPORTED,"Flv: Unsupported audio codec idx: "+oe);return}let V=0,fe=(g&12)>>>2;if(fe>=0&&fe<=4)V=this._flvSoundRateTable[fe];else{this._onError(h.FORMAT_ERROR,"Flv: Invalid audio sample rate idx: "+fe);return}let Ve=(g&2)>>>1,ze=g&1,le=this._audioMetadata,Ne=this._audioTrack;if(le||(this._hasAudio===!1&&this._hasAudioFlagOverrided===!1&&(this._hasAudio=!0,this._mediaInfo.hasAudio=!0),le=this._audioMetadata={},le.type="audio",le.id=Ne.id,le.timescale=this._timescale,le.duration=this._duration,le.audioSampleRate=V,le.channelCount=ze===0?1:2),oe===10){let me=this._parseAACAudioData(e,t+1,n-1);if(me==null)return;if(me.packetType===0){le.config&&_.w(this.TAG,"Found another AudioSpecificConfig!");let G=me.data;le.audioSampleRate=G.samplingRate,le.channelCount=G.channelCount,le.codec=G.codec,le.originalCodec=G.originalCodec,le.config=G.config,le.refSampleDuration=1024/le.audioSampleRate*le.timescale,_.v(this.TAG,"Parsed AudioSpecificConfig"),this._isInitialMetadataDispatched()?this._dispatch&&(this._audioTrack.length||this._videoTrack.length)&&this._onDataAvailable(this._audioTrack,this._videoTrack):this._audioInitialMetadataDispatched=!0,this._dispatch=!1,this._onTrackMetadata("audio",le);let ne=this._mediaInfo;ne.audioCodec=le.originalCodec,ne.audioSampleRate=le.audioSampleRate,ne.audioChannelCount=le.channelCount,ne.hasVideo?ne.videoCodec!=null&&(ne.mimeType='video/x-flv; codecs="'+ne.videoCodec+","+ne.audioCodec+'"'):ne.mimeType='video/x-flv; codecs="'+ne.audioCodec+'"',ne.isComplete()&&this._onMediaInfo(ne)}else if(me.packetType===1){let G=this._timestampBase+i,ne={unit:me.data,length:me.data.byteLength,dts:G,pts:G};Ne.samples.push(ne),Ne.length+=me.data.length}else _.e(this.TAG,`Flv: Unsupported AAC data type ${me.packetType}`)}else if(oe===2){if(!le.codec){let ye=this._parseMP3AudioData(e,t+1,n-1,!0);if(ye==null)return;le.audioSampleRate=ye.samplingRate,le.channelCount=ye.channelCount,le.codec=ye.codec,le.originalCodec=ye.originalCodec,le.refSampleDuration=1152/le.audioSampleRate*le.timescale,_.v(this.TAG,"Parsed MPEG Audio Frame Header"),this._audioInitialMetadataDispatched=!0,this._onTrackMetadata("audio",le);let Le=this._mediaInfo;Le.audioCodec=le.codec,Le.audioSampleRate=le.audioSampleRate,Le.audioChannelCount=le.channelCount,Le.audioDataRate=ye.bitRate,Le.hasVideo?Le.videoCodec!=null&&(Le.mimeType='video/x-flv; codecs="'+Le.videoCodec+","+Le.audioCodec+'"'):Le.mimeType='video/x-flv; codecs="'+Le.audioCodec+'"',Le.isComplete()&&this._onMediaInfo(Le)}let me=this._parseMP3AudioData(e,t+1,n-1,!1);if(me==null)return;let G=this._timestampBase+i,ne={unit:me,length:me.byteLength,dts:G,pts:G};Ne.samples.push(ne),Ne.length+=me.length}}_parseAACAudioData(e,t,n){if(n<=1){_.w(this.TAG,"Flv: Invalid AAC packet, missing AACPacketType or/and Data!");return}let i={},r=new Uint8Array(e,t,n);return i.packetType=r[0],r[0]===0?i.data=this._parseAACAudioSpecificConfig(e,t+1,n-1):i.data=r.subarray(1),i}_parseAACAudioSpecificConfig(e,t,n){let i=new Uint8Array(e,t,n),r=null,c=0,g=0,oe=null,V=0,fe=null;if(c=g=i[0]>>>3,V=(i[0]&7)<<1|i[1]>>>7,V<0||V>=this._mpegSamplingRates.length){this._onError(h.FORMAT_ERROR,"Flv: AAC invalid sampling frequency index!");return}let Ve=this._mpegSamplingRates[V],ze=(i[1]&120)>>>3;if(ze<0||ze>=8){this._onError(h.FORMAT_ERROR,"Flv: AAC invalid channel configuration");return}c===5&&(fe=(i[1]&7)<<1|i[2]>>>7,oe=(i[2]&124)>>>2);let le=self.navigator.userAgent.toLowerCase();return le.indexOf("firefox")!==-1?V>=6?(c=5,r=new Array(4),fe=V-3):(c=2,r=new Array(2),fe=V):le.indexOf("android")!==-1?(c=2,r=new Array(2),fe=V):(c=5,fe=V,r=new Array(4),V>=6?fe=V-3:ze===1&&(c=2,r=new Array(2),fe=V)),r[0]=c<<3,r[0]|=(V&15)>>>1,r[1]=(V&15)<<7,r[1]|=(ze&15)<<3,c===5&&(r[1]|=(fe&15)>>>1,r[2]=(fe&1)<<7,r[2]|=8,r[3]=0),{config:r,samplingRate:Ve,channelCount:ze,codec:"mp4a.40."+c,originalCodec:"mp4a.40."+g}}_parseMP3AudioData(e,t,n,i){if(n<4){_.w(this.TAG,"Flv: Invalid MP3 packet, header missing!");return}let r=this._littleEndian,c=new Uint8Array(e,t,n),g=null;if(i){if(c[0]!==255)return;let oe=c[1]>>>3&3,V=(c[1]&6)>>1,fe=(c[2]&240)>>>4,Ve=(c[2]&12)>>>2,le=(c[3]>>>6&3)!==3?2:1,Ne=0,me=0,G=34,ne="mp3";switch(oe){case 0:Ne=this._mpegAudioV25SampleRateTable[Ve];break;case 2:Ne=this._mpegAudioV20SampleRateTable[Ve];break;case 3:Ne=this._mpegAudioV10SampleRateTable[Ve];break}switch(V){case 1:G=34,fe>>4,oe=c&15;if(oe!==7){this._onError(h.CODEC_UNSUPPORTED,`Flv: Unsupported codec in video frame: ${oe}`);return}this._parseAVCVideoPacket(e,t+1,n-1,i,r,g)}_parseAVCVideoPacket(e,t,n,i,r,c){if(n<4){_.w(this.TAG,"Flv: Invalid AVC packet, missing AVCPacketType or/and CompositionTime");return}let g=this._littleEndian,oe=new DataView(e,t,n),V=oe.getUint8(0),Ve=(oe.getUint32(0,!g)&16777215)<<8>>8;if(V===0)this._parseAVCDecoderConfigurationRecord(e,t+4,n-4);else if(V===1)this._parseAVCVideoData(e,t+4,n-4,i,r,c,Ve);else if(V!==2){this._onError(h.FORMAT_ERROR,`Flv: Invalid video packet type ${V}`);return}}_parseAVCDecoderConfigurationRecord(e,t,n){if(n<7){_.w(this.TAG,"Flv: Invalid AVCDecoderConfigurationRecord, lack of data!");return}let i=this._videoMetadata,r=this._videoTrack,c=this._littleEndian,g=new DataView(e,t,n);i?typeof i.avcc!="undefined"&&_.w(this.TAG,"Found another AVCDecoderConfigurationRecord!"):(this._hasVideo===!1&&this._hasVideoFlagOverrided===!1&&(this._hasVideo=!0,this._mediaInfo.hasVideo=!0),i=this._videoMetadata={},i.type="video",i.id=r.id,i.timescale=this._timescale,i.duration=this._duration);let oe=g.getUint8(0),V=g.getUint8(1),fe=g.getUint8(2),Ve=g.getUint8(3);if(oe!==1||V===0){this._onError(h.FORMAT_ERROR,"Flv: Invalid AVCDecoderConfigurationRecord");return}if(this._naluLengthSize=(g.getUint8(4)&3)+1,this._naluLengthSize!==3&&this._naluLengthSize!==4){this._onError(h.FORMAT_ERROR,`Flv: Strange NaluLengthSizeMinusOne: ${this._naluLengthSize-1}`);return}let ze=g.getUint8(5)&31;if(ze===0){this._onError(h.FORMAT_ERROR,"Flv: Invalid AVCDecoderConfigurationRecord: No SPS");return}else ze>1&&_.w(this.TAG,`Flv: Strange AVCDecoderConfigurationRecord: SPS Count = ${ze}`);let le=6;for(let me=0;me1&&_.w(this.TAG,`Flv: Strange AVCDecoderConfigurationRecord: PPS Count = ${Ne}`);le++;for(let me=0;me=n){_.w(this.TAG,`Malformed Nalu near timestamp ${Ne}, offset = ${ze}, dataSize = ${n}`);break}let G=V.getUint32(ze,!oe);if(le===3&&(G>>>=8),G>n-le){_.w(this.TAG,`Malformed Nalus near timestamp ${Ne}, NaluSize > DataSize!`);return}let ne=V.getUint8(ze+le)&31;ne===5&&(me=!0);let ye=new Uint8Array(e,t+ze,le+G),Le={type:ne,data:ye};fe.push(Le),Ve+=ye.byteLength,ze+=le+G}if(fe.length){let G=this._videoTrack,ne={units:fe,length:Ve,isKeyframe:me,dts:Ne,cts:g,pts:Ne+g};me&&(ne.fileposition=r),G.samples.push(ne),G.length+=Ve}}}var x=m;class l{static init(){l.types={avc1:[],avcC:[],btrt:[],dinf:[],dref:[],esds:[],ftyp:[],hdlr:[],mdat:[],mdhd:[],mdia:[],mfhd:[],minf:[],moof:[],moov:[],mp4a:[],mvex:[],mvhd:[],sdtp:[],stbl:[],stco:[],stsc:[],stsd:[],stsz:[],stts:[],tfdt:[],tfhd:[],traf:[],trak:[],trun:[],trex:[],tkhd:[],vmhd:[],smhd:[],".mp3":[]};for(let t in l.types)l.types.hasOwnProperty(t)&&(l.types[t]=[t.charCodeAt(0),t.charCodeAt(1),t.charCodeAt(2),t.charCodeAt(3)]);let e=l.constants={};e.FTYP=new Uint8Array([105,115,111,109,0,0,0,1,105,115,111,109,97,118,99,49]),e.STSD_PREFIX=new Uint8Array([0,0,0,0,0,0,0,1]),e.STTS=new Uint8Array([0,0,0,0,0,0,0,0]),e.STSC=e.STCO=e.STTS,e.STSZ=new Uint8Array([0,0,0,0,0,0,0,0,0,0,0,0]),e.HDLR_VIDEO=new Uint8Array([0,0,0,0,0,0,0,0,118,105,100,101,0,0,0,0,0,0,0,0,0,0,0,0,86,105,100,101,111,72,97,110,100,108,101,114,0]),e.HDLR_AUDIO=new Uint8Array([0,0,0,0,0,0,0,0,115,111,117,110,0,0,0,0,0,0,0,0,0,0,0,0,83,111,117,110,100,72,97,110,100,108,101,114,0]),e.DREF=new Uint8Array([0,0,0,0,0,0,0,1,0,0,0,12,117,114,108,32,0,0,0,1]),e.SMHD=new Uint8Array([0,0,0,0,0,0,0,0]),e.VMHD=new Uint8Array([0,0,0,1,0,0,0,0,0,0,0,0])}static box(e){let t=8,n=null,i=Array.prototype.slice.call(arguments,1),r=i.length;for(let g=0;g>>24&255,n[1]=t>>>16&255,n[2]=t>>>8&255,n[3]=t&255,n.set(e,4);let c=8;for(let g=0;g>>24&255,e>>>16&255,e>>>8&255,e&255,t>>>24&255,t>>>16&255,t>>>8&255,t&255,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,64,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,255,255,255,255]))}static trak(e){return l.box(l.types.trak,l.tkhd(e),l.mdia(e))}static tkhd(e){let t=e.id,n=e.duration,i=e.presentWidth,r=e.presentHeight;return l.box(l.types.tkhd,new Uint8Array([0,0,0,7,0,0,0,0,0,0,0,0,t>>>24&255,t>>>16&255,t>>>8&255,t&255,0,0,0,0,n>>>24&255,n>>>16&255,n>>>8&255,n&255,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,64,0,0,0,i>>>8&255,i&255,0,0,r>>>8&255,r&255,0,0]))}static mdia(e){return l.box(l.types.mdia,l.mdhd(e),l.hdlr(e),l.minf(e))}static mdhd(e){let t=e.timescale,n=e.duration;return l.box(l.types.mdhd,new Uint8Array([0,0,0,0,0,0,0,0,0,0,0,0,t>>>24&255,t>>>16&255,t>>>8&255,t&255,n>>>24&255,n>>>16&255,n>>>8&255,n&255,85,196,0,0]))}static hdlr(e){let t=null;return e.type==="audio"?t=l.constants.HDLR_AUDIO:t=l.constants.HDLR_VIDEO,l.box(l.types.hdlr,t)}static minf(e){let t=null;return e.type==="audio"?t=l.box(l.types.smhd,l.constants.SMHD):t=l.box(l.types.vmhd,l.constants.VMHD),l.box(l.types.minf,t,l.dinf(),l.stbl(e))}static dinf(){return l.box(l.types.dinf,l.box(l.types.dref,l.constants.DREF))}static stbl(e){return l.box(l.types.stbl,l.stsd(e),l.box(l.types.stts,l.constants.STTS),l.box(l.types.stsc,l.constants.STSC),l.box(l.types.stsz,l.constants.STSZ),l.box(l.types.stco,l.constants.STCO))}static stsd(e){return e.type==="audio"?e.codec==="mp3"?l.box(l.types.stsd,l.constants.STSD_PREFIX,l.mp3(e)):l.box(l.types.stsd,l.constants.STSD_PREFIX,l.mp4a(e)):l.box(l.types.stsd,l.constants.STSD_PREFIX,l.avc1(e))}static mp3(e){let t=e.channelCount,n=e.audioSampleRate,i=new Uint8Array([0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,t,0,16,0,0,0,0,n>>>8&255,n&255,0,0]);return l.box(l.types[".mp3"],i)}static mp4a(e){let t=e.channelCount,n=e.audioSampleRate,i=new Uint8Array([0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,t,0,16,0,0,0,0,n>>>8&255,n&255,0,0]);return l.box(l.types.mp4a,i,l.esds(e))}static esds(e){let t=e.config||[],n=t.length,i=new Uint8Array([0,0,0,0,3,23+n,0,1,0,4,15+n,64,21,0,0,0,0,0,0,0,0,0,0,0,5].concat([n]).concat(t).concat([6,1,2]));return l.box(l.types.esds,i)}static avc1(e){let t=e.avcc,n=e.codecWidth,i=e.codecHeight,r=new Uint8Array([0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,n>>>8&255,n&255,i>>>8&255,i&255,0,72,0,0,0,72,0,0,0,0,0,0,0,1,10,120,113,113,47,102,108,118,46,106,115,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,24,255,255]);return l.box(l.types.avc1,r,l.box(l.types.avcC,t))}static mvex(e){return l.box(l.types.mvex,l.trex(e))}static trex(e){let t=e.id,n=new Uint8Array([0,0,0,0,t>>>24&255,t>>>16&255,t>>>8&255,t&255,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,1]);return l.box(l.types.trex,n)}static moof(e,t){return l.box(l.types.moof,l.mfhd(e.sequenceNumber),l.traf(e,t))}static mfhd(e){let t=new Uint8Array([0,0,0,0,e>>>24&255,e>>>16&255,e>>>8&255,e&255]);return l.box(l.types.mfhd,t)}static traf(e,t){let n=e.id,i=l.box(l.types.tfhd,new Uint8Array([0,0,0,0,n>>>24&255,n>>>16&255,n>>>8&255,n&255])),r=l.box(l.types.tfdt,new Uint8Array([0,0,0,0,t>>>24&255,t>>>16&255,t>>>8&255,t&255])),c=l.sdtp(e),g=l.trun(e,c.byteLength+16+16+8+16+8+8);return l.box(l.types.traf,i,r,g,c)}static sdtp(e){let t=e.samples||[],n=t.length,i=new Uint8Array(4+n);for(let r=0;r>>24&255,i>>>16&255,i>>>8&255,i&255,t>>>24&255,t>>>16&255,t>>>8&255,t&255],0);for(let g=0;g>>24&255,oe>>>16&255,oe>>>8&255,oe&255,V>>>24&255,V>>>16&255,V>>>8&255,V&255,fe.isLeading<<2|fe.dependsOn,fe.isDependedOn<<6|fe.hasRedundancy<<4|fe.isNonSync,0,0,Ve>>>24&255,Ve>>>16&255,Ve>>>8&255,Ve&255],12+16*g)}return l.box(l.types.trun,c)}static mdat(e){return l.box(l.types.mdat,e)}}l.init();var R=l;class W{static getSilentFrame(e,t){if(e==="mp4a.40.2"){if(t===1)return new Uint8Array([0,200,0,128,35,128]);if(t===2)return new Uint8Array([33,0,73,144,2,25,0,35,128]);if(t===3)return new Uint8Array([0,200,0,128,32,132,1,38,64,8,100,0,142]);if(t===4)return new Uint8Array([0,200,0,128,32,132,1,38,64,8,100,0,128,44,128,8,2,56]);if(t===5)return new Uint8Array([0,200,0,128,32,132,1,38,64,8,100,0,130,48,4,153,0,33,144,2,56]);if(t===6)return new Uint8Array([0,200,0,128,32,132,1,38,64,8,100,0,130,48,4,153,0,33,144,2,0,178,0,32,8,224])}else{if(t===1)return new Uint8Array([1,64,34,128,163,78,230,128,186,8,0,0,0,28,6,241,193,10,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,94]);if(t===2)return new Uint8Array([1,64,34,128,163,94,230,128,186,8,0,0,0,0,149,0,6,241,161,10,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,94]);if(t===3)return new Uint8Array([1,64,34,128,163,94,230,128,186,8,0,0,0,0,149,0,6,241,161,10,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,94])}return null}}var de=W;class De{constructor(e,t,n,i,r){this.dts=e,this.pts=t,this.duration=n,this.originalDts=i,this.isSyncPoint=r,this.fileposition=null}}class Fe{constructor(){this.beginDts=0,this.endDts=0,this.beginPts=0,this.endPts=0,this.originalBeginDts=0,this.originalEndDts=0,this.syncPoints=[],this.firstSample=null,this.lastSample=null}appendSyncPoint(e){e.isSyncPoint=!0,this.syncPoints.push(e)}}class ge{constructor(){this._list=[]}clear(){this._list=[]}appendArray(e){let t=this._list;e.length!==0&&(t.length>0&&e[0].originalDts=t[r].dts&&et[i].lastSample.originalDts&&e=t[i].lastSample.originalDts&&(i===t.length-1||i0&&(r=this._searchNearestSegmentBefore(n.originalBeginDts)+1),this._lastAppendLocation=r,this._list.splice(r,0,n)}getLastSegmentBefore(e){let t=this._searchNearestSegmentBefore(e);return t>=0?this._list[t]:null}getLastSampleBefore(e){let t=this.getLastSegmentBefore(e);return t!=null?t.lastSample:null}getLastSyncPointBefore(e){let t=this._searchNearestSegmentBefore(e),n=this._list[t].syncPoints;for(;n.length===0&&t>0;)t--,n=this._list[t].syncPoints;return n.length>0?n[n.length-1]:null}}class Ce{constructor(e){this.TAG="MP4Remuxer",this._config=e,this._isLive=e.isLive===!0,this._dtsBase=-1,this._dtsBaseInited=!1,this._audioDtsBase=1/0,this._videoDtsBase=1/0,this._audioNextDts=void 0,this._videoNextDts=void 0,this._audioStashedLastSample=null,this._videoStashedLastSample=null,this._audioMeta=null,this._videoMeta=null,this._audioSegmentInfoList=new ke("audio"),this._videoSegmentInfoList=new ke("video"),this._onInitSegment=null,this._onMediaSegment=null,this._forceFirstIDR=!!(E.chrome&&(E.version.major<50||E.version.major===50&&E.version.build<2661)),this._fillSilentAfterSeek=E.msedge||E.msie,this._mp3UseMpegAudio=!E.firefox,this._fillAudioTimestampGap=this._config.fixAudioTimestampGap}destroy(){this._dtsBase=-1,this._dtsBaseInited=!1,this._audioMeta=null,this._videoMeta=null,this._audioSegmentInfoList.clear(),this._audioSegmentInfoList=null,this._videoSegmentInfoList.clear(),this._videoSegmentInfoList=null,this._onInitSegment=null,this._onMediaSegment=null}bindDataSource(e){return e.onDataAvailable=this.remux.bind(this),e.onTrackMetadata=this._onTrackMetadataReceived.bind(this),this}get onInitSegment(){return this._onInitSegment}set onInitSegment(e){this._onInitSegment=e}get onMediaSegment(){return this._onMediaSegment}set onMediaSegment(e){this._onMediaSegment=e}insertDiscontinuity(){this._audioNextDts=this._videoNextDts=void 0}seek(e){this._audioStashedLastSample=null,this._videoStashedLastSample=null,this._videoSegmentInfoList.clear(),this._audioSegmentInfoList.clear()}remux(e,t){if(!this._onMediaSegment)throw new q("MP4Remuxer: onMediaSegment callback must be specificed!");this._dtsBaseInited||this._calculateDtsBase(e,t),this._remuxVideo(t),this._remuxAudio(e)}_onTrackMetadataReceived(e,t){let n=null,i="mp4",r=t.codec;if(e==="audio")this._audioMeta=t,t.codec==="mp3"&&this._mp3UseMpegAudio?(i="mpeg",r="",n=new Uint8Array):n=R.generateInitSegment(t);else if(e==="video")this._videoMeta=t,n=R.generateInitSegment(t);else return;if(!this._onInitSegment)throw new q("MP4Remuxer: onInitSegment callback must be specified!");this._onInitSegment(e,{type:e,data:n.buffer,codec:r,container:`${e}/${i}`,mediaDuration:t.duration})}_calculateDtsBase(e,t){this._dtsBaseInited||(e.samples&&e.samples.length&&(this._audioDtsBase=e.samples[0].dts),t.samples&&t.samples.length&&(this._videoDtsBase=t.samples[0].dts),this._dtsBase=Math.min(this._audioDtsBase,this._videoDtsBase),this._dtsBaseInited=!0)}flushStashedSamples(){let e=this._videoStashedLastSample,t=this._audioStashedLastSample,n={type:"video",id:1,sequenceNumber:0,samples:[],length:0};e!=null&&(n.samples.push(e),n.length=e.length);let i={type:"audio",id:2,sequenceNumber:0,samples:[],length:0};t!=null&&(i.samples.push(t),i.length=t.length),this._videoStashedLastSample=null,this._audioStashedLastSample=null,this._remuxVideo(n,!0),this._remuxAudio(i,!0)}_remuxAudio(e,t){if(this._audioMeta==null)return;let n=e,i=n.samples,r,c=-1,g=-1,oe=-1,V=this._audioMeta.refSampleDuration,fe=this._audioMeta.codec==="mp3"&&this._mp3UseMpegAudio,Ve=this._dtsBaseInited&&this._audioNextDts===void 0,ze=!1;if(!i||i.length===0||i.length===1&&!t)return;let le=0,Ne=null,me=0;fe?(le=0,me=n.length):(le=8,me=8+n.length);let G=null;if(i.length>1&&(G=i.pop(),me-=G.length),this._audioStashedLastSample!=null){let ve=this._audioStashedLastSample;this._audioStashedLastSample=null,i.unshift(ve),me+=ve.length}G!=null&&(this._audioStashedLastSample=G);let ne=i[0].dts-this._dtsBase;if(this._audioNextDts)r=ne-this._audioNextDts;else if(this._audioSegmentInfoList.isEmpty())r=0,this._fillSilentAfterSeek&&!this._videoSegmentInfoList.isEmpty()&&this._audioMeta.originalCodec!=="mp3"&&(ze=!0);else{let ve=this._audioSegmentInfoList.getLastSampleBefore(ne);if(ve!=null){let pe=ne-(ve.originalDts+ve.duration);pe<=3&&(pe=0);let p=ve.dts+ve.duration+pe;r=ne-p}else r=0}if(ze){let ve=ne-r,pe=this._videoSegmentInfoList.getLastSegmentBefore(ne);if(pe!=null&&pe.beginDts=1?U=ye[ye.length-1].duration:U=Math.floor(V);let k=!1,X=null;if(U>V*1.5&&this._audioMeta.codec!=="mp3"&&this._fillAudioTimestampGap&&!E.safari){k=!0;let z=Math.abs(U-V),be=Math.ceil(z/V),Ze=D+V;_.w(this.TAG,`Large audio timestamp gap detected, may cause AV sync to drift. Silent frames will be generated to avoid unsync. dts: ${D+U} ms, expected: ${D+Math.round(V)} ms, delta: ${Math.round(z)} ms, generate: ${be} frames`);let Te=de.getSilentFrame(this._audioMeta.originalCodec,this._audioMeta.channelCount);Te==null&&(_.w(this.TAG,`Unable to generate silent frame for ${this._audioMeta.originalCodec} with ${this._audioMeta.channelCount} channels, repeat last frame`),Te=p),X=[];for(let Pe=0;Pe0){let st=X[X.length-1];st.duration=rt-st.dts}let ht={dts:rt,pts:rt,cts:0,unit:Te,size:Te.byteLength,duration:0,originalDts:v,flags:{isLeading:0,dependsOn:1,isDependedOn:0,hasRedundancy:0}};X.push(ht),me+=ht.size,Ze+=V}let Ke=X[X.length-1];Ke.duration=D+U-Ke.dts,U=Math.round(V)}ye.push({dts:D,pts:D,cts:0,unit:pe.unit,size:pe.unit.byteLength,duration:U,originalDts:v,flags:{isLeading:0,dependsOn:1,isDependedOn:0,hasRedundancy:0}}),k&&ye.push.apply(ye,X)}fe?Ne=new Uint8Array(me):(Ne=new Uint8Array(me),Ne[0]=me>>>24&255,Ne[1]=me>>>16&255,Ne[2]=me>>>8&255,Ne[3]=me&255,Ne.set(R.types.mdat,4));for(let ve=0;ve1&&(le=i.pop(),ze-=le.length),this._videoStashedLastSample!=null){let Le=this._videoStashedLastSample;this._videoStashedLastSample=null,i.unshift(Le),ze+=Le.length}le!=null&&(this._videoStashedLastSample=le);let Ne=i[0].dts-this._dtsBase;if(this._videoNextDts)r=Ne-this._videoNextDts;else if(this._videoSegmentInfoList.isEmpty())r=0;else{let Le=this._videoSegmentInfoList.getLastSampleBefore(Ne);if(Le!=null){let Ye=Ne-(Le.originalDts+Le.duration);Ye<=3&&(Ye=0);let Mt=Le.dts+Le.duration+Ye;r=Ne-Mt}else r=0}let me=new Fe,G=[];for(let Le=0;Le=1?v=G[G.length-1].duration:v=Math.floor(this._videoMeta.refSampleDuration),Et){let D=new De(ve,p,v,Ye.dts,!0);D.fileposition=Ye.fileposition,me.appendSyncPoint(D)}G.push({dts:ve,pts:p,cts:pe,units:Ye.units,size:Ye.length,isKeyframe:Et,duration:v,originalDts:Mt,flags:{isLeading:0,dependsOn:Et?2:1,isDependedOn:Et?1:0,hasRedundancy:0,isNonSync:Et?0:1}})}Ve=new Uint8Array(ze),Ve[0]=ze>>>24&255,Ve[1]=ze>>>16&255,Ve[2]=ze>>>8&255,Ve[3]=ze&255,Ve.set(R.types.mdat,4);for(let Le=0;Le{i.timestampBase=n,n+=i.duration,i.cors=e.cors,i.withCredentials=e.withCredentials,t.referrerPolicy&&(i.referrerPolicy=t.referrerPolicy)}),!isNaN(n)&&this._mediaDataSource.duration!==n&&(this._mediaDataSource.duration=n),this._mediaInfo=null,this._demuxer=null,this._remuxer=null,this._ioctl=null,this._pendingSeekTime=null,this._pendingResolveSeekPoint=null,this._statisticsReporter=null}destroy(){this._mediaInfo=null,this._mediaDataSource=null,this._statisticsReporter&&this._disableStatisticsReporter(),this._ioctl&&(this._ioctl.destroy(),this._ioctl=null),this._demuxer&&(this._demuxer.destroy(),this._demuxer=null),this._remuxer&&(this._remuxer.destroy(),this._remuxer=null),this._emitter.removeAllListeners(),this._emitter=null}on(e,t){this._emitter.addListener(e,t)}off(e,t){this._emitter.removeListener(e,t)}start(){this._loadSegment(0),this._enableStatisticsReporter()}_loadSegment(e,t){this._currentSegmentIndex=e;let n=this._mediaDataSource.segments[e],i=this._ioctl=new Ge(n,this._config,e);i.onError=this._onIOException.bind(this),i.onSeeked=this._onIOSeeked.bind(this),i.onComplete=this._onIOComplete.bind(this),i.onRedirect=this._onIORedirect.bind(this),i.onRecoveredEarlyEof=this._onIORecoveredEarlyEof.bind(this),t?this._demuxer.bindDataSource(this._ioctl):i.onDataArrival=this._onInitChunkArrival.bind(this),i.open(t)}stop(){this._internalAbort(),this._disableStatisticsReporter()}_internalAbort(){this._ioctl&&(this._ioctl.destroy(),this._ioctl=null)}pause(){this._ioctl&&this._ioctl.isWorking()&&(this._ioctl.pause(),this._disableStatisticsReporter())}resume(){this._ioctl&&this._ioctl.isPaused()&&(this._ioctl.resume(),this._enableStatisticsReporter())}seek(e){if(this._mediaInfo==null||!this._mediaInfo.isSeekable())return;let t=this._searchSegmentIndexContains(e);if(t===this._currentSegmentIndex){let n=this._mediaInfo.segments[t];if(n==null)this._pendingSeekTime=e;else{let i=n.getNearestKeyframe(e);this._remuxer.seek(i.milliseconds),this._ioctl.seek(i.fileposition),this._pendingResolveSeekPoint=i.milliseconds}}else{let n=this._mediaInfo.segments[t];if(n==null)this._pendingSeekTime=e,this._internalAbort(),this._remuxer.seek(),this._remuxer.insertDiscontinuity(),this._loadSegment(t);else{let i=n.getNearestKeyframe(e);this._internalAbort(),this._remuxer.seek(e),this._remuxer.insertDiscontinuity(),this._demuxer.resetMediaInfo(),this._demuxer.timestampBase=this._mediaDataSource.segments[t].timestampBase,this._loadSegment(t,i.fileposition),this._pendingResolveSeekPoint=i.milliseconds,this._reportSegmentMediaInfo(t)}}this._enableStatisticsReporter()}_searchSegmentIndexContains(e){let t=this._mediaDataSource.segments,n=t.length-1;for(let i=0;i0)this._demuxer.bindDataSource(this._ioctl),this._demuxer.timestampBase=this._mediaDataSource.segments[this._currentSegmentIndex].timestampBase,i=this._demuxer.parseChunks(e,t);else if((n=x.probe(e)).match){this._demuxer=new x(n,this._config),this._remuxer||(this._remuxer=new ot(this._config));let r=this._mediaDataSource;r.duration!=null&&!isNaN(r.duration)&&(this._demuxer.overridedDuration=r.duration),typeof r.hasAudio=="boolean"&&(this._demuxer.overridedHasAudio=r.hasAudio),typeof r.hasVideo=="boolean"&&(this._demuxer.overridedHasVideo=r.hasVideo),this._demuxer.timestampBase=r.segments[this._currentSegmentIndex].timestampBase,this._demuxer.onError=this._onDemuxException.bind(this),this._demuxer.onMediaInfo=this._onMediaInfo.bind(this),this._demuxer.onMetaDataArrived=this._onMetaDataArrived.bind(this),this._demuxer.onScriptDataArrived=this._onScriptDataArrived.bind(this),this._remuxer.bindDataSource(this._demuxer.bindDataSource(this._ioctl)),this._remuxer.onInitSegment=this._onRemuxerInitSegmentArrival.bind(this),this._remuxer.onMediaSegment=this._onRemuxerMediaSegmentArrival.bind(this),i=this._demuxer.parseChunks(e,t)}else n=null,_.e(this.TAG,"Non-FLV, Unsupported media type!"),Promise.resolve().then(()=>{this._internalAbort()}),this._emitter.emit(j.DEMUX_ERROR,h.FORMAT_UNSUPPORTED,"Non-FLV, Unsupported media type"),i=0;return i}_onMediaInfo(e){this._mediaInfo==null&&(this._mediaInfo=Object.assign({},e),this._mediaInfo.keyframesIndex=null,this._mediaInfo.segments=[],this._mediaInfo.segmentCount=this._mediaDataSource.segments.length,Object.setPrototypeOf(this._mediaInfo,$e.prototype));let t=Object.assign({},e);Object.setPrototypeOf(t,$e.prototype),this._mediaInfo.segments[this._currentSegmentIndex]=t,this._reportSegmentMediaInfo(this._currentSegmentIndex),this._pendingSeekTime!=null&&Promise.resolve().then(()=>{let n=this._pendingSeekTime;this._pendingSeekTime=null,this.seek(n)})}_onMetaDataArrived(e){this._emitter.emit(j.METADATA_ARRIVED,e)}_onScriptDataArrived(e){this._emitter.emit(j.SCRIPTDATA_ARRIVED,e)}_onIOSeeked(){this._remuxer.insertDiscontinuity()}_onIOComplete(e){let n=e+1;n0&&n[0].originalDts===i&&(i=n[0].pts),this._emitter.emit(j.RECOMMEND_SEEKPOINT,i)}}_enableStatisticsReporter(){this._statisticsReporter==null&&(this._statisticsReporter=self.setInterval(this._reportStatisticsInfo.bind(this),this._config.statisticsInfoReportInterval))}_disableStatisticsReporter(){this._statisticsReporter&&(self.clearInterval(this._statisticsReporter),this._statisticsReporter=null)}_reportSegmentMediaInfo(e){let t=this._mediaInfo.segments[e],n=Object.assign({},t);n.duration=this._mediaInfo.duration,n.segmentCount=this._mediaInfo.segmentCount,delete n.segments,delete n.keyframesIndex,this._emitter.emit(j.MEDIA_INFO,n)}_reportStatisticsInfo(){let e={};e.url=this._ioctl.currentURL,e.hasRedirect=this._ioctl.hasRedirect,e.hasRedirect&&(e.redirectedURL=this._ioctl.currentRedirectedURL),e.speed=this._ioctl.currentSpeed,e.loaderType=this._ioctl.loaderType,e.currentSegmentIndex=this._currentSegmentIndex,e.totalSegmentCount=this._mediaDataSource.segments.length,this._emitter.emit(j.STATISTICS_INFO,e)}}var ct=bt,it=function(K){let e="TransmuxingWorker",t=null,n=me.bind(this);S.install(),K.addEventListener("message",function(G){switch(G.data.cmd){case"init":t=new ct(G.data.param[0],G.data.param[1]),t.on(j.IO_ERROR,ze.bind(this)),t.on(j.DEMUX_ERROR,le.bind(this)),t.on(j.INIT_SEGMENT,i.bind(this)),t.on(j.MEDIA_SEGMENT,r.bind(this)),t.on(j.LOADING_COMPLETE,c.bind(this)),t.on(j.RECOVERED_EARLY_EOF,g.bind(this)),t.on(j.MEDIA_INFO,oe.bind(this)),t.on(j.METADATA_ARRIVED,V.bind(this)),t.on(j.SCRIPTDATA_ARRIVED,fe.bind(this)),t.on(j.STATISTICS_INFO,Ve.bind(this)),t.on(j.RECOMMEND_SEEKPOINT,Ne.bind(this));break;case"destroy":t&&(t.destroy(),t=null),K.postMessage({msg:"destroyed"});break;case"start":t.start();break;case"stop":t.stop();break;case"seek":t.seek(G.data.param);break;case"pause":t.pause();break;case"resume":t.resume();break;case"logging_config":{let ne=G.data.param;_e.applyConfig(ne),ne.enableCallback===!0?_e.addLogListener(n):_e.removeLogListener(n);break}}});function i(G,ne){let ye={msg:j.INIT_SEGMENT,data:{type:G,data:ne}};K.postMessage(ye,[ne.data])}function r(G,ne){let ye={msg:j.MEDIA_SEGMENT,data:{type:G,data:ne}};K.postMessage(ye,[ne.data])}function c(){let G={msg:j.LOADING_COMPLETE};K.postMessage(G)}function g(){let G={msg:j.RECOVERED_EARLY_EOF};K.postMessage(G)}function oe(G){let ne={msg:j.MEDIA_INFO,data:G};K.postMessage(ne)}function V(G){let ne={msg:j.METADATA_ARRIVED,data:G};K.postMessage(ne)}function fe(G){let ne={msg:j.SCRIPTDATA_ARRIVED,data:G};K.postMessage(ne)}function Ve(G){let ne={msg:j.STATISTICS_INFO,data:G};K.postMessage(ne)}function ze(G,ne){K.postMessage({msg:j.IO_ERROR,data:{type:G,info:ne}})}function le(G,ne){K.postMessage({msg:j.DEMUX_ERROR,data:{type:G,info:ne}})}function Ne(G){K.postMessage({msg:j.RECOMMEND_SEEKPOINT,data:G})}function me(G,ne){K.postMessage({msg:"logcat_callback",data:{type:G,logcat:ne}})}};class Rt{constructor(e,t){if(this.TAG="Transmuxer",this._emitter=new(P()),t.enableWorker&&typeof Worker!="undefined")try{let n=u(82059);this._worker=n(it),this._workerDestroying=!1,this._worker.addEventListener("message",this._onWorkerMessage.bind(this)),this._worker.postMessage({cmd:"init",param:[e,t]}),this.e={onLoggingConfigChanged:this._onLoggingConfigChanged.bind(this)},_e.registerListener(this.e.onLoggingConfigChanged),this._worker.postMessage({cmd:"logging_config",param:_e.getConfig()})}catch(n){_.e(this.TAG,"Error while initialize transmuxing worker, fallback to inline transmuxing"),this._worker=null,this._controller=new ct(e,t)}else this._controller=new ct(e,t);if(this._controller){let n=this._controller;n.on(j.IO_ERROR,this._onIOError.bind(this)),n.on(j.DEMUX_ERROR,this._onDemuxError.bind(this)),n.on(j.INIT_SEGMENT,this._onInitSegment.bind(this)),n.on(j.MEDIA_SEGMENT,this._onMediaSegment.bind(this)),n.on(j.LOADING_COMPLETE,this._onLoadingComplete.bind(this)),n.on(j.RECOVERED_EARLY_EOF,this._onRecoveredEarlyEof.bind(this)),n.on(j.MEDIA_INFO,this._onMediaInfo.bind(this)),n.on(j.METADATA_ARRIVED,this._onMetaDataArrived.bind(this)),n.on(j.SCRIPTDATA_ARRIVED,this._onScriptDataArrived.bind(this)),n.on(j.STATISTICS_INFO,this._onStatisticsInfo.bind(this)),n.on(j.RECOMMEND_SEEKPOINT,this._onRecommendSeekpoint.bind(this))}}destroy(){this._worker?this._workerDestroying||(this._workerDestroying=!0,this._worker.postMessage({cmd:"destroy"}),_e.removeListener(this.e.onLoggingConfigChanged),this.e=null):(this._controller.destroy(),this._controller=null),this._emitter.removeAllListeners(),this._emitter=null}on(e,t){this._emitter.addListener(e,t)}off(e,t){this._emitter.removeListener(e,t)}hasWorker(){return this._worker!=null}open(){this._worker?this._worker.postMessage({cmd:"start"}):this._controller.start()}close(){this._worker?this._worker.postMessage({cmd:"stop"}):this._controller.stop()}seek(e){this._worker?this._worker.postMessage({cmd:"seek",param:e}):this._controller.seek(e)}pause(){this._worker?this._worker.postMessage({cmd:"pause"}):this._controller.pause()}resume(){this._worker?this._worker.postMessage({cmd:"resume"}):this._controller.resume()}_onInitSegment(e,t){Promise.resolve().then(()=>{this._emitter.emit(j.INIT_SEGMENT,e,t)})}_onMediaSegment(e,t){Promise.resolve().then(()=>{this._emitter.emit(j.MEDIA_SEGMENT,e,t)})}_onLoadingComplete(){Promise.resolve().then(()=>{this._emitter.emit(j.LOADING_COMPLETE)})}_onRecoveredEarlyEof(){Promise.resolve().then(()=>{this._emitter.emit(j.RECOVERED_EARLY_EOF)})}_onMediaInfo(e){Promise.resolve().then(()=>{this._emitter.emit(j.MEDIA_INFO,e)})}_onMetaDataArrived(e){Promise.resolve().then(()=>{this._emitter.emit(j.METADATA_ARRIVED,e)})}_onScriptDataArrived(e){Promise.resolve().then(()=>{this._emitter.emit(j.SCRIPTDATA_ARRIVED,e)})}_onStatisticsInfo(e){Promise.resolve().then(()=>{this._emitter.emit(j.STATISTICS_INFO,e)})}_onIOError(e,t){Promise.resolve().then(()=>{this._emitter.emit(j.IO_ERROR,e,t)})}_onDemuxError(e,t){Promise.resolve().then(()=>{this._emitter.emit(j.DEMUX_ERROR,e,t)})}_onRecommendSeekpoint(e){Promise.resolve().then(()=>{this._emitter.emit(j.RECOMMEND_SEEKPOINT,e)})}_onLoggingConfigChanged(e){this._worker&&this._worker.postMessage({cmd:"logging_config",param:e})}_onWorkerMessage(e){let t=e.data,n=t.data;if(t.msg==="destroyed"||this._workerDestroying){this._workerDestroying=!1,this._worker.terminate(),this._worker=null;return}switch(t.msg){case j.INIT_SEGMENT:case j.MEDIA_SEGMENT:this._emitter.emit(t.msg,n.type,n.data);break;case j.LOADING_COMPLETE:case j.RECOVERED_EARLY_EOF:this._emitter.emit(t.msg);break;case j.MEDIA_INFO:Object.setPrototypeOf(n,$e.prototype),this._emitter.emit(t.msg,n);break;case j.METADATA_ARRIVED:case j.SCRIPTDATA_ARRIVED:case j.STATISTICS_INFO:this._emitter.emit(t.msg,n);break;case j.IO_ERROR:case j.DEMUX_ERROR:this._emitter.emit(t.msg,n.type,n.info);break;case j.RECOMMEND_SEEKPOINT:this._emitter.emit(t.msg,n);break;case"logcat_callback":_.emitter.emit("log",n.type,n.logcat);break;default:break}}}var Ft=Rt,Ct={ERROR:"error",SOURCE_OPEN:"source_open",UPDATE_END:"update_end",BUFFER_FULL:"buffer_full"};class Kt{constructor(e){this.TAG="MSEController",this._config=e,this._emitter=new(P()),this._config.isLive&&this._config.autoCleanupSourceBuffer==null&&(this._config.autoCleanupSourceBuffer=!0),this.e={onSourceOpen:this._onSourceOpen.bind(this),onSourceEnded:this._onSourceEnded.bind(this),onSourceClose:this._onSourceClose.bind(this),onSourceBufferError:this._onSourceBufferError.bind(this),onSourceBufferUpdateEnd:this._onSourceBufferUpdateEnd.bind(this)},this._mediaSource=null,this._mediaSourceObjectURL=null,this._mediaElement=null,this._isBufferFull=!1,this._hasPendingEos=!1,this._requireSetMediaDuration=!1,this._pendingMediaDuration=0,this._pendingSourceBufferInit=[],this._mimeTypes={video:null,audio:null},this._sourceBuffers={video:null,audio:null},this._lastInitSegments={video:null,audio:null},this._pendingSegments={video:[],audio:[]},this._pendingRemoveRanges={video:[],audio:[]},this._idrList=new ge}destroy(){(this._mediaElement||this._mediaSource)&&this.detachMediaElement(),this.e=null,this._emitter.removeAllListeners(),this._emitter=null}on(e,t){this._emitter.addListener(e,t)}off(e,t){this._emitter.removeListener(e,t)}attachMediaElement(e){if(this._mediaSource)throw new q("MediaSource has been attached to an HTMLMediaElement!");let t=this._mediaSource=new window.MediaSource;t.addEventListener("sourceopen",this.e.onSourceOpen),t.addEventListener("sourceended",this.e.onSourceEnded),t.addEventListener("sourceclose",this.e.onSourceClose),this._mediaElement=e,this._mediaSourceObjectURL=window.URL.createObjectURL(this._mediaSource),e.src=this._mediaSourceObjectURL}detachMediaElement(){if(this._mediaSource){let e=this._mediaSource;for(let t in this._sourceBuffers){let n=this._pendingSegments[t];n.splice(0,n.length),this._pendingSegments[t]=null,this._pendingRemoveRanges[t]=null,this._lastInitSegments[t]=null;let i=this._sourceBuffers[t];if(i){if(e.readyState!=="closed"){try{e.removeSourceBuffer(i)}catch(r){_.e(this.TAG,r.message)}i.removeEventListener("error",this.e.onSourceBufferError),i.removeEventListener("updateend",this.e.onSourceBufferUpdateEnd)}this._mimeTypes[t]=null,this._sourceBuffers[t]=null}}if(e.readyState==="open")try{e.endOfStream()}catch(t){_.e(this.TAG,t.message)}e.removeEventListener("sourceopen",this.e.onSourceOpen),e.removeEventListener("sourceended",this.e.onSourceEnded),e.removeEventListener("sourceclose",this.e.onSourceClose),this._pendingSourceBufferInit=[],this._isBufferFull=!1,this._idrList.clear(),this._mediaSource=null}this._mediaElement&&(this._mediaElement.src="",this._mediaElement.removeAttribute("src"),this._mediaElement=null),this._mediaSourceObjectURL&&(window.URL.revokeObjectURL(this._mediaSourceObjectURL),this._mediaSourceObjectURL=null)}appendInitSegment(e,t){if(!this._mediaSource||this._mediaSource.readyState!=="open"){this._pendingSourceBufferInit.push(e),this._pendingSegments[e.type].push(e);return}let n=e,i=`${n.container}`;n.codec&&n.codec.length>0&&(i+=`;codecs=${n.codec}`);let r=!1;if(_.v(this.TAG,"Received Initialization Segment, mimeType: "+i),this._lastInitSegments[n.type]=n,i!==this._mimeTypes[n.type]){if(this._mimeTypes[n.type])_.v(this.TAG,`Notice: ${n.type} mimeType changed, origin: ${this._mimeTypes[n.type]}, target: ${i}`);else{r=!0;try{let 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n=this._sourceBuffers[t];if(this._mediaSource.readyState==="open")try{n.abort()}catch(r){_.e(this.TAG,r.message)}this._idrList.clear();let i=this._pendingSegments[t];if(i.splice(0,i.length),this._mediaSource.readyState!=="closed"){for(let r=0;r=1&&e-i.start(0)>=this._config.autoCleanupMaxBackwardDuration)return!0}}return!1}_doCleanupSourceBuffer(){let e=this._mediaElement.currentTime;for(let t in this._sourceBuffers){let n=this._sourceBuffers[t];if(n){let i=n.buffered,r=!1;for(let c=0;c=this._config.autoCleanupMaxBackwardDuration){r=!0;let V=e-this._config.autoCleanupMinBackwardDuration;this._pendingRemoveRanges[t].push({start:g,end:V})}}else oe0&&(isNaN(t)||n>t)&&(_.v(this.TAG,`Update MediaSource duration from ${t} to ${n}`),this._mediaSource.duration=n),this._requireSetMediaDuration=!1,this._pendingMediaDuration=0}_doRemoveRanges(){for(let e in this._pendingRemoveRanges){if(!this._sourceBuffers[e]||this._sourceBuffers[e].updating)continue;let t=this._sourceBuffers[e],n=this._pendingRemoveRanges[e];for(;n.length&&!t.updating;){let i=n.shift();t.remove(i.start,i.end)}}}_doAppendSegments(){let e=this._pendingSegments;for(let t in e)if(!(!this._sourceBuffers[t]||this._sourceBuffers[t].updating)&&e[t].length>0){let n=e[t].shift();if(n.timestampOffset){let i=this._sourceBuffers[t].timestampOffset,r=n.timestampOffset/1e3;Math.abs(i-r)>.1&&(_.v(this.TAG,`Update MPEG audio timestampOffset from ${i} to ${r}`),this._sourceBuffers[t].timestampOffset=r),delete n.timestampOffset}if(!n.data||n.data.byteLength===0)continue;try{this._sourceBuffers[t].appendBuffer(n.data),this._isBufferFull=!1,t==="video"&&n.hasOwnProperty("info")&&this._idrList.appendArray(n.info.syncPoints)}catch(i){this._pendingSegments[t].unshift(n),i.code===22?(this._isBufferFull||this._emitter.emit(Ct.BUFFER_FULL),this._isBufferFull=!0):(_.e(this.TAG,i.message),this._emitter.emit(Ct.ERROR,{code:i.code,msg:i.message}))}}}_onSourceOpen(){if(_.v(this.TAG,"MediaSource 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e.video.length>0||e.audio.length>0}_onSourceBufferUpdateEnd(){this._requireSetMediaDuration?this._updateMediaSourceDuration():this._hasPendingRemoveRanges()?this._doRemoveRanges():this._hasPendingSegments()?this._doAppendSegments():this._hasPendingEos&&this.endOfStream(),this._emitter.emit(Ct.UPDATE_END)}_onSourceBufferError(e){_.e(this.TAG,`SourceBuffer Error: ${e}`)}}var zt=Kt;const Re={NETWORK_ERROR:"NetworkError",MEDIA_ERROR:"MediaError",OTHER_ERROR:"OtherError"},qe={NETWORK_EXCEPTION:H.EXCEPTION,NETWORK_STATUS_CODE_INVALID:H.HTTP_STATUS_CODE_INVALID,NETWORK_TIMEOUT:H.CONNECTING_TIMEOUT,NETWORK_UNRECOVERABLE_EARLY_EOF:H.UNRECOVERABLE_EARLY_EOF,MEDIA_MSE_ERROR:"MediaMSEError",MEDIA_FORMAT_ERROR:h.FORMAT_ERROR,MEDIA_FORMAT_UNSUPPORTED:h.FORMAT_UNSUPPORTED,MEDIA_CODEC_UNSUPPORTED:h.CODEC_UNSUPPORTED};class Bt{constructor(e,t){if(this.TAG="FlvPlayer",this._type="FlvPlayer",this._emitter=new(P()),this._config=Z(),typeof 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n=E.chrome&&(E.version.major<50||E.version.major===50&&E.version.build<2661);this._alwaysSeekKeyframe=!!(n||E.msedge||E.msie),this._alwaysSeekKeyframe&&(this._config.accurateSeek=!1)}destroy(){this._progressChecker!=null&&(window.clearInterval(this._progressChecker),this._progressChecker=null),this._transmuxer&&this.unload(),this._mediaElement&&this.detachMediaElement(),this.e=null,this._mediaDataSource=null,this._emitter.removeAllListeners(),this._emitter=null}on(e,t){e===se.MEDIA_INFO?this._mediaInfo!=null&&Promise.resolve().then(()=>{this._emitter.emit(se.MEDIA_INFO,this.mediaInfo)}):e===se.STATISTICS_INFO&&this._statisticsInfo!=null&&Promise.resolve().then(()=>{this._emitter.emit(se.STATISTICS_INFO,this.statisticsInfo)}),this._emitter.addListener(e,t)}off(e,t){this._emitter.removeListener(e,t)}attachMediaElement(e){if(this._mediaElement=e,e.addEventListener("loadedmetadata",this.e.onvLoadedMetadata),e.addEventListener("seeking",this.e.onvSeeking),e.addEventListener("canplay",this.e.onvCanPlay),e.addEventListener("stalled",this.e.onvStalled),e.addEventListener("progress",this.e.onvProgress),this._msectl=new zt(this._config),this._msectl.on(Ct.UPDATE_END,this._onmseUpdateEnd.bind(this)),this._msectl.on(Ct.BUFFER_FULL,this._onmseBufferFull.bind(this)),this._msectl.on(Ct.SOURCE_OPEN,()=>{this._mseSourceOpened=!0,this._hasPendingLoad&&(this._hasPendingLoad=!1,this.load())}),this._msectl.on(Ct.ERROR,t=>{this._emitter.emit(se.ERROR,Re.MEDIA_ERROR,qe.MEDIA_MSE_ERROR,t)}),this._msectl.attachMediaElement(e),this._pendingSeekTime!=null)try{e.currentTime=this._pendingSeekTime,this._pendingSeekTime=null}catch(t){}}detachMediaElement(){this._mediaElement&&(this._msectl.detachMediaElement(),this._mediaElement.removeEventListener("loadedmetadata",this.e.onvLoadedMetadata),this._mediaElement.removeEventListener("seeking",this.e.onvSeeking),this._mediaElement.removeEventListener("canplay",this.e.onvCanPlay),this._mediaElement.removeEventListener("stalled",this.e.onvStalled),this._mediaElement.removeEventListener("progress",this.e.onvProgress),this._mediaElement=null),this._msectl&&(this._msectl.destroy(),this._msectl=null)}load(){if(!this._mediaElement)throw new q("HTMLMediaElement must be attached before load()!");if(this._transmuxer)throw new q("FlvPlayer.load() has been called, please call unload() first!");if(!this._hasPendingLoad){if(this._config.deferLoadAfterSourceOpen&&this._mseSourceOpened===!1){this._hasPendingLoad=!0;return}this._mediaElement.readyState>0&&(this._requestSetTime=!0,this._mediaElement.currentTime=0),this._transmuxer=new Ft(this._mediaDataSource,this._config),this._transmuxer.on(j.INIT_SEGMENT,(e,t)=>{this._msectl.appendInitSegment(t)}),this._transmuxer.on(j.MEDIA_SEGMENT,(e,t)=>{if(this._msectl.appendMediaSegment(t),this._config.lazyLoad&&!this._config.isLive){let n=this._mediaElement.currentTime;t.info.endDts>=(n+this._config.lazyLoadMaxDuration)*1e3&&this._progressChecker==null&&(_.v(this.TAG,"Maximum buffering duration exceeded, suspend transmuxing task"),this._suspendTransmuxer())}}),this._transmuxer.on(j.LOADING_COMPLETE,()=>{this._msectl.endOfStream(),this._emitter.emit(se.LOADING_COMPLETE)}),this._transmuxer.on(j.RECOVERED_EARLY_EOF,()=>{this._emitter.emit(se.RECOVERED_EARLY_EOF)}),this._transmuxer.on(j.IO_ERROR,(e,t)=>{this._emitter.emit(se.ERROR,Re.NETWORK_ERROR,e,t)}),this._transmuxer.on(j.DEMUX_ERROR,(e,t)=>{this._emitter.emit(se.ERROR,Re.MEDIA_ERROR,e,{code:-1,msg:t})}),this._transmuxer.on(j.MEDIA_INFO,e=>{this._mediaInfo=e,this._emitter.emit(se.MEDIA_INFO,Object.assign({},e))}),this._transmuxer.on(j.METADATA_ARRIVED,e=>{this._emitter.emit(se.METADATA_ARRIVED,e)}),this._transmuxer.on(j.SCRIPTDATA_ARRIVED,e=>{this._emitter.emit(se.SCRIPTDATA_ARRIVED,e)}),this._transmuxer.on(j.STATISTICS_INFO,e=>{this._statisticsInfo=this._fillStatisticsInfo(e),this._emitter.emit(se.STATISTICS_INFO,Object.assign({},this._statisticsInfo))}),this._transmuxer.on(j.RECOMMEND_SEEKPOINT,e=>{this._mediaElement&&!this._config.accurateSeek&&(this._requestSetTime=!0,this._mediaElement.currentTime=e/1e3)}),this._transmuxer.open()}}unload(){this._mediaElement&&this._mediaElement.pause(),this._msectl&&this._msectl.seek(0),this._transmuxer&&(this._transmuxer.close(),this._transmuxer.destroy(),this._transmuxer=null)}play(){return this._mediaElement.play()}pause(){this._mediaElement.pause()}get type(){return this._type}get buffered(){return this._mediaElement.buffered}get duration(){return this._mediaElement.duration}get volume(){return this._mediaElement.volume}set volume(e){this._mediaElement.volume=e}get muted(){return this._mediaElement.muted}set muted(e){this._mediaElement.muted=e}get currentTime(){return this._mediaElement?this._mediaElement.currentTime:0}set currentTime(e){this._mediaElement?this._internalSeek(e):this._pendingSeekTime=e}get mediaInfo(){return Object.assign({},this._mediaInfo)}get statisticsInfo(){return this._statisticsInfo==null&&(this._statisticsInfo={}),this._statisticsInfo=this._fillStatisticsInfo(this._statisticsInfo),Object.assign({},this._statisticsInfo)}_fillStatisticsInfo(e){if(e.playerType=this._type,!(this._mediaElement instanceof HTMLVideoElement))return e;let t=!0,n=0,i=0;if(this._mediaElement.getVideoPlaybackQuality){let r=this._mediaElement.getVideoPlaybackQuality();n=r.totalVideoFrames,i=r.droppedVideoFrames}else this._mediaElement.webkitDecodedFrameCount!=null?(n=this._mediaElement.webkitDecodedFrameCount,i=this._mediaElement.webkitDroppedFrameCount):t=!1;return t&&(e.decodedFrames=n,e.droppedFrames=i),e}_onmseUpdateEnd(){if(!this._config.lazyLoad||this._config.isLive)return;let e=this._mediaElement.buffered,t=this._mediaElement.currentTime,n=0,i=0;for(let r=0;r=t+this._config.lazyLoadMaxDuration&&this._progressChecker==null&&(_.v(this.TAG,"Maximum buffering duration exceeded, suspend transmuxing task"),this._suspendTransmuxer())}_onmseBufferFull(){_.v(this.TAG,"MSE SourceBuffer is full, suspend transmuxing task"),this._progressChecker==null&&this._suspendTransmuxer()}_suspendTransmuxer(){this._transmuxer&&(this._transmuxer.pause(),this._progressChecker==null&&(this._progressChecker=window.setInterval(this._checkProgressAndResume.bind(this),1e3)))}_checkProgressAndResume(){let e=this._mediaElement.currentTime,t=this._mediaElement.buffered,n=!1;for(let i=0;i=r&&e=c-this._config.lazyLoadRecoverDuration&&(n=!0);break}}n&&(window.clearInterval(this._progressChecker),this._progressChecker=null,n&&(_.v(this.TAG,"Continue loading from paused position"),this._transmuxer.resume()))}_isTimepointBuffered(e){let t=this._mediaElement.buffered;for(let n=0;n=i&&e0){let r=this._mediaElement.buffered.start(0);(r<1&&e0&&t.currentTime0){let i=n.start(0);if(i<1&&t{this._emitter.emit(se.MEDIA_INFO,this.mediaInfo)}):e===se.STATISTICS_INFO&&this._mediaElement!=null&&this._mediaElement.readyState!==0&&Promise.resolve().then(()=>{this._emitter.emit(se.STATISTICS_INFO,this.statisticsInfo)}),this._emitter.addListener(e,t)}off(e,t){this._emitter.removeListener(e,t)}attachMediaElement(e){if(this._mediaElement=e,e.addEventListener("loadedmetadata",this.e.onvLoadedMetadata),this._pendingSeekTime!=null)try{e.currentTime=this._pendingSeekTime,this._pendingSeekTime=null}catch(t){}}detachMediaElement(){this._mediaElement&&(this._mediaElement.src="",this._mediaElement.removeAttribute("src"),this._mediaElement.removeEventListener("loadedmetadata",this.e.onvLoadedMetadata),this._mediaElement=null),this._statisticsReporter!=null&&(window.clearInterval(this._statisticsReporter),this._statisticsReporter=null)}load(){if(!this._mediaElement)throw new q("HTMLMediaElement must be attached before load()!");this._mediaElement.src=this._mediaDataSource.url,this._mediaElement.readyState>0&&(this._mediaElement.currentTime=0),this._mediaElement.preload="auto",this._mediaElement.load(),this._statisticsReporter=window.setInterval(this._reportStatisticsInfo.bind(this),this._config.statisticsInfoReportInterval)}unload(){this._mediaElement&&(this._mediaElement.src="",this._mediaElement.removeAttribute("src")),this._statisticsReporter!=null&&(window.clearInterval(this._statisticsReporter),this._statisticsReporter=null)}play(){return this._mediaElement.play()}pause(){this._mediaElement.pause()}get type(){return this._type}get buffered(){return this._mediaElement.buffered}get duration(){return this._mediaElement.duration}get volume(){return this._mediaElement.volume}set volume(e){this._mediaElement.volume=e}get muted(){return this._mediaElement.muted}set muted(e){this._mediaElement.muted=e}get currentTime(){return this._mediaElement?this._mediaElement.currentTime:0}set 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this._extraData}set extraData(e){this._extraData=e}get onDataArrival(){return this._onDataArrival}set onDataArrival(e){this._onDataArrival=e}get onSeeked(){return this._onSeeked}set onSeeked(e){this._onSeeked=e}get onError(){return this._onError}set onError(e){this._onError=e}get onComplete(){return this._onComplete}set onComplete(e){this._onComplete=e}get onRedirect(){return this._onRedirect}set onRedirect(e){this._onRedirect=e}get onRecoveredEarlyEof(){return this._onRecoveredEarlyEof}set onRecoveredEarlyEof(e){this._onRecoveredEarlyEof=e}get currentURL(){return this._dataSource.url}get hasRedirect(){return this._redirectedURL!=null||this._dataSource.redirectedURL!=null}get currentRedirectedURL(){return this._redirectedURL||this._dataSource.redirectedURL}get currentSpeed(){return this._loaderClass===ie?this._loader.currentSpeed:this._speedSampler.lastSecondKBps}get loaderType(){return this._loader.type}_selectSeekHandler(){let e=this._config;if(e.seekType==="range")this._seekHandler=new je(this._config.rangeLoadZeroStart);else if(e.seekType==="param"){let n=e.seekParamStart||"bstart",i=e.seekParamEnd||"bend";this._seekHandler=new Fe(n,i)}else if(e.seekType==="custom"){if(typeof e.customSeekHandler!="function")throw new Oe("Custom seekType specified in config but invalid customSeekHandler!");this._seekHandler=new e.customSeekHandler}else throw new Oe(`Invalid seekType in config: ${e.seekType}`)}_selectLoader(){if(this._config.customLoader!=null)this._loaderClass=this._config.customLoader;else if(this._isWebSocketURL)this._loaderClass=Ce;else if(U.isSupported())this._loaderClass=U;else if(v.isSupported())this._loaderClass=v;else if(ie.isSupported())this._loaderClass=ie;else throw new J("Your browser doesn't support xhr with arraybuffer responseType!")}_createLoader(){this._loader=new this._loaderClass(this._seekHandler,this._config),this._loader.needStashBuffer===!1&&(this._enableStash=!1),this._loader.onContentLengthKnown=this._onContentLengthKnown.bind(this),this._loader.onURLRedirect=this._onURLRedirect.bind(this),this._loader.onDataArrival=this._onLoaderChunkArrival.bind(this),this._loader.onComplete=this._onLoaderComplete.bind(this),this._loader.onError=this._onLoaderError.bind(this)}open(e){this._currentRange={from:0,to:-1},e&&(this._currentRange.from=e),this._speedSampler.reset(),e||(this._fullRequestFlag=!0),this._loader.open(this._dataSource,Object.assign({},this._currentRange))}abort(){this._loader.abort(),this._paused&&(this._paused=!1,this._resumeFrom=0)}pause(){this.isWorking()&&(this._loader.abort(),this._stashUsed!==0?(this._resumeFrom=this._stashByteStart,this._currentRange.to=this._stashByteStart-1):this._resumeFrom=this._currentRange.to+1,this._stashUsed=0,this._stashByteStart=0,this._paused=!0)}resume(){if(this._paused){this._paused=!1;let e=this._resumeFrom;this._resumeFrom=0,this._internalSeek(e,!0)}}seek(e){this._paused=!1,this._stashUsed=0,this._stashByteStart=0,this._internalSeek(e,!0)}_internalSeek(e,n){this._loader.isWorking()&&this._loader.abort(),this._flushStashBuffer(n),this._loader.destroy(),this._loader=null;let i={from:e,to:-1};this._currentRange={from:i.from,to:-1},this._speedSampler.reset(),this._stashSize=this._stashInitialSize,this._createLoader(),this._loader.open(this._dataSource,i),this._onSeeked&&this._onSeeked()}updateUrl(e){if(!e||typeof e!="string"||e.length===0)throw new Oe("Url must be a non-empty string!");this._dataSource.url=e}_expandBuffer(e){let n=this._stashSize;for(;n+1024*1024*10){let t=new Uint8Array(this._stashBuffer,0,this._stashUsed);new Uint8Array(i,0,n).set(t,0)}this._stashBuffer=i,this._bufferSize=n}_normalizeSpeed(e){let n=this._speedNormalizeList,i=n.length-1,t=0,r=0,o=i;if(e=n[t]&&e=512&&e<=1024?n=Math.floor(e*1.5):n=e*2,n>8192&&(n=8192);let i=n*1024+1024*1024*1;this._bufferSize0){let o=this._stashBuffer.slice(0,this._stashUsed),a=this._dispatchChunks(o,this._stashByteStart);if(a0){let I=new Uint8Array(o,a);r.set(I,0),this._stashUsed=I.byteLength,this._stashByteStart+=a}}else this._stashUsed=0,this._stashByteStart+=a;this._stashUsed+e.byteLength>this._bufferSize&&(this._expandBuffer(this._stashUsed+e.byteLength),r=new Uint8Array(this._stashBuffer,0,this._bufferSize)),r.set(new Uint8Array(e),this._stashUsed),this._stashUsed+=e.byteLength}else{let o=this._dispatchChunks(e,n);if(othis._bufferSize&&(this._expandBuffer(a),r=new Uint8Array(this._stashBuffer,0,this._bufferSize)),r.set(new Uint8Array(e,o),0),this._stashUsed+=a,this._stashByteStart=n+o}}}else if(this._stashUsed===0){let r=this._dispatchChunks(e,n);if(rthis._bufferSize&&this._expandBuffer(o),new Uint8Array(this._stashBuffer,0,this._bufferSize).set(new Uint8Array(e,r),0),this._stashUsed+=o,this._stashByteStart=n+r}}else{this._stashUsed+e.byteLength>this._bufferSize&&this._expandBuffer(this._stashUsed+e.byteLength);let r=new Uint8Array(this._stashBuffer,0,this._bufferSize);r.set(new Uint8Array(e),this._stashUsed),this._stashUsed+=e.byteLength;let o=this._dispatchChunks(this._stashBuffer.slice(0,this._stashUsed),this._stashByteStart);if(o0){let a=new Uint8Array(this._stashBuffer,o);r.set(a,0)}this._stashUsed-=o,this._stashByteStart+=o}}_flushStashBuffer(e){if(this._stashUsed>0){let n=this._stashBuffer.slice(0,this._stashUsed),i=this._dispatchChunks(n,this._stashByteStart),t=n.byteLength-i;if(i0){let r=new Uint8Array(this._stashBuffer,0,this._bufferSize),o=new Uint8Array(n,i);r.set(o,0),this._stashUsed=o.byteLength,this._stashByteStart+=i}return 0}return this._stashUsed=0,this._stashByteStart=0,t}return 0}_onLoaderComplete(e,n){this._flushStashBuffer(!0),this._onComplete&&this._onComplete(this._extraData)}_onLoaderError(e,n){switch(T.e(this.TAG,`Loader error, code = ${n.code}, msg = ${n.msg}`),this._flushStashBuffer(!1),this._isEarlyEofReconnecting&&(this._isEarlyEofReconnecting=!1,e=xe.UNRECOVERABLE_EARLY_EOF),e){case xe.EARLY_EOF:{if(!this._config.isLive&&this._totalLength){let i=this._currentRange.to+1;i0){let n=ce.getConfig();e.emit("change",n)}}static registerListener(e){ce.emitter.addListener("change",e)}static removeListener(e){ce.emitter.removeListener("change",e)}static addLogListener(e){T.emitter.addListener("log",e),T.emitter.listenerCount("log")>0&&(T.ENABLE_CALLBACK=!0,ce._notifyChange())}static removeLogListener(e){T.emitter.removeListener("log",e),T.emitter.listenerCount("log")===0&&(T.ENABLE_CALLBACK=!1,ce._notifyChange())}}ce.emitter=new(z());var me=ce;class He{constructor(){this.mimeType=null,this.duration=null,this.hasAudio=null,this.hasVideo=null,this.audioCodec=null,this.videoCodec=null,this.audioDataRate=null,this.videoDataRate=null,this.audioSampleRate=null,this.audioChannelCount=null,this.width=null,this.height=null,this.fps=null,this.profile=null,this.level=null,this.refFrames=null,this.chromaFormat=null,this.sarNum=null,this.sarDen=null,this.metadata=null,this.segments=null,this.segmentCount=null,this.hasKeyframesIndex=null,this.keyframesIndex=null}isComplete(){let e=this.hasAudio===!1||this.hasAudio===!0&&this.audioCodec!=null&&this.audioSampleRate!=null&&this.audioChannelCount!=null,n=this.hasVideo===!1||this.hasVideo===!0&&this.videoCodec!=null&&this.width!=null&&this.height!=null&&this.fps!=null&&this.profile!=null&&this.level!=null&&this.refFrames!=null&&this.chromaFormat!=null&&this.sarNum!=null&&this.sarDen!=null;return this.mimeType!=null&&this.duration!=null&&this.metadata!=null&&this.hasKeyframesIndex!=null&&e&&n}isSeekable(){return this.hasKeyframesIndex===!0}getNearestKeyframe(e){if(this.keyframesIndex==null)return null;let n=this.keyframesIndex,i=this._search(n.times,e);return{index:i,milliseconds:n.times[i],fileposition:n.filepositions[i]}}_search(e,n){let i=0,t=e.length-1,r=0,o=0,a=t;for(n=e[r]&&n=128){e.push(String.fromCharCode(r&65535)),i+=2;continue}}}else if(n[i]<240){if(qe(n,i,2)){let r=(n[i]&15)<<12|(n[i+1]&63)<<6|n[i+2]&63;if(r>=2048&&(r&63488)!==55296){e.push(String.fromCharCode(r&65535)),i+=3;continue}}}else if(n[i]<248&&qe(n,i,3)){let r=(n[i]&7)<<18|(n[i+1]&63)<<12|(n[i+2]&63)<<6|n[i+3]&63;if(r>65536&&r<1114112){r-=65536,e.push(String.fromCharCode(r>>>10|55296)),e.push(String.fromCharCode(r&1023|56320)),i+=4;continue}}}e.push("\uFFFD"),++i}return e.join("")}var rt=vt;let ke=function(){let _e=new ArrayBuffer(2);return new DataView(_e).setInt16(0,256,!0),new Int16Array(_e)[0]===256}();class lt{static parseScriptData(e,n,i){let t={};try{let r=lt.parseValue(e,n,i),o=lt.parseValue(e,n+r.size,i-r.size);t[r.data]=o.data}catch(r){T.e("AMF",r.toString())}return t}static parseObject(e,n,i){if(i<3)throw new w("Data not enough when parse ScriptDataObject");let t=lt.parseString(e,n,i),r=lt.parseValue(e,n+t.size,i-t.size),o=r.objectEnd;return{data:{name:t.data,value:r.data},size:t.size+r.size,objectEnd:o}}static parseVariable(e,n,i){return lt.parseObject(e,n,i)}static parseString(e,n,i){if(i<2)throw new w("Data not enough when parse String");let r=new DataView(e,n,i).getUint16(0,!ke),o;return r>0?o=rt(new Uint8Array(e,n+2,r)):o="",{data:o,size:2+r}}static parseLongString(e,n,i){if(i<4)throw new w("Data not enough when parse LongString");let r=new DataView(e,n,i).getUint32(0,!ke),o;return r>0?o=rt(new Uint8Array(e,n+4,r)):o="",{data:o,size:4+r}}static parseDate(e,n,i){if(i<10)throw new w("Data size invalid when parse Date");let t=new DataView(e,n,i),r=t.getFloat64(0,!ke),o=t.getInt16(8,!ke);return r+=o*60*1e3,{data:new Date(r),size:10}}static parseValue(e,n,i){if(i<1)throw new w("Data not enough when parse Value");let t=new DataView(e,n,i),r=1,o=t.getUint8(0),a,I=!1;try{switch(o){case 0:a=t.getFloat64(1,!ke),r+=8;break;case 1:{a=!!t.getUint8(1),r+=1;break}case 2:{let p=lt.parseString(e,n+1,i-1);a=p.data,r+=p.size;break}case 3:{a={};let p=0;for((t.getUint32(i-4,!ke)&16777215)===9&&(p=3);r32)throw new Oe("ExpGolomb: readBits() bits exceeded max 32bits!");if(e<=this._current_word_bits_left){let o=this._current_word>>>32-e;return this._current_word<<=e,this._current_word_bits_left-=e,o}let n=this._current_word_bits_left?this._current_word:0;n=n>>>32-this._current_word_bits_left;let i=e-this._current_word_bits_left;this._fillCurrentWord();let t=Math.min(i,this._current_word_bits_left),r=this._current_word>>>32-t;return this._current_word<<=t,this._current_word_bits_left-=t,n=n<>>e)return this._current_word<<=e,this._current_word_bits_left-=e,e;return this._fillCurrentWord(),e+this._skipLeadingZero()}readUEG(){let e=this._skipLeadingZero();return this.readBits(e+1)-1}readSEG(){let e=this.readUEG();return e&1?e+1>>>1:-1*(e>>>1)}}var Be=H;class N{static _ebsp2rbsp(e){let n=e,i=n.byteLength,t=new Uint8Array(i),r=0;for(let o=0;o=2&&n[o]===3&&n[o-1]===0&&n[o-2]===0||(t[r]=n[o],r++);return new Uint8Array(t.buffer,0,r)}static parseSPS(e){let n=N._ebsp2rbsp(e),i=new Be(n);i.readByte();let t=i.readByte();i.readByte();let r=i.readByte();i.readUEG();let o=N.getProfileString(t),a=N.getLevelString(r),I=1,p=420,M=[0,420,422,444],W=8;if((t===100||t===110||t===122||t===244||t===44||t===83||t===86||t===118||t===128||t===138||t===144)&&(I=i.readUEG(),I===3&&i.readBits(1),I<=3&&(p=M[I]),W=i.readUEG()+8,i.readUEG(),i.readBits(1),i.readBool())){let $e=I!==3?8:12;for(let Ye=0;Ye<$e;Ye++)i.readBool()&&(Ye<6?N._skipScalingList(i,16):N._skipScalingList(i,64))}i.readUEG();let se=i.readUEG();if(se===0)i.readUEG();else if(se===1){i.readBits(1),i.readSEG(),i.readSEG();let $e=i.readUEG();for(let Ye=0;Ye<$e;Ye++)i.readSEG()}let G=i.readUEG();i.readBits(1);let Se=i.readUEG(),ae=i.readUEG(),q=i.readBits(1);q===0&&i.readBits(1),i.readBits(1);let X=0,Ee=0,ge=0,Ne=0;i.readBool()&&(X=i.readUEG(),Ee=i.readUEG(),ge=i.readUEG(),Ne=i.readUEG());let et=1,we=1,Me=0,_=!0,L=0,j=0;if(i.readBool()){if(i.readBool()){let $e=i.readByte(),Ye=[1,12,10,16,40,24,20,32,80,18,15,64,160,4,3,2],yt=[1,11,11,11,33,11,11,11,33,11,11,33,99,3,2,1];$e>0&&$e<16?(et=Ye[$e-1],we=yt[$e-1]):$e===255&&(et=i.readByte()<<8|i.readByte(),we=i.readByte()<<8|i.readByte())}if(i.readBool()&&i.readBool(),i.readBool()&&(i.readBits(4),i.readBool()&&i.readBits(24)),i.readBool()&&(i.readUEG(),i.readUEG()),i.readBool()){let $e=i.readBits(32),Ye=i.readBits(32);_=i.readBool(),L=Ye,j=$e*2,Me=L/j}}let V=1;(et!==1||we!==1)&&(V=et/we);let ye=0,he=0;if(I===0)ye=1,he=2-q;else{let $e=I===3?1:2,Ye=I===1?2:1;ye=$e,he=Ye*(2-q)}let Ae=(Se+1)*16,Ue=(2-q)*((ae+1)*16);Ae-=(X+Ee)*ye,Ue-=(ge+Ne)*he;let Ge=Math.ceil(Ae*V);return i.destroy(),i=null,{profile_string:o,level_string:a,bit_depth:W,ref_frames:G,chroma_format:p,chroma_format_string:N.getChromaFormatString(p),frame_rate:{fixed:_,fps:Me,fps_den:j,fps_num:L},sar_ratio:{width:et,height:we},codec_size:{width:Ae,height:Ue},present_size:{width:Ge,height:Ue}}}static _skipScalingList(e,n){let i=8,t=8,r=0;for(let o=0;o>>8&255|(_e&255)<<8}function Z(_e){return(_e&4278190080)>>>24|(_e&16711680)>>>8|(_e&65280)<<8|(_e&255)<<24}function s(_e,e){return _e[e]<<24|_e[e+1]<<16|_e[e+2]<<8|_e[e+3]}class u{constructor(e,n){this.TAG="FLVDemuxer",this._config=n,this._onError=null,this._onMediaInfo=null,this._onMetaDataArrived=null,this._onScriptDataArrived=null,this._onTrackMetadata=null,this._onDataAvailable=null,this._dataOffset=e.dataOffset,this._firstParse=!0,this._dispatch=!1,this._hasAudio=e.hasAudioTrack,this._hasVideo=e.hasVideoTrack,this._hasAudioFlagOverrided=!1,this._hasVideoFlagOverrided=!1,this._audioInitialMetadataDispatched=!1,this._videoInitialMetadataDispatched=!1,this._mediaInfo=new tt,this._mediaInfo.hasAudio=this._hasAudio,this._mediaInfo.hasVideo=this._hasVideo,this._metadata=null,this._audioMetadata=null,this._videoMetadata=null,this._naluLengthSize=4,this._timestampBase=0,this._timescale=1e3,this._duration=0,this._durationOverrided=!1,this._referenceFrameRate={fixed:!0,fps:23.976,fps_num:23976,fps_den:1e3},this._flvSoundRateTable=[5500,11025,22050,44100,48e3],this._mpegSamplingRates=[96e3,88200,64e3,48e3,44100,32e3,24e3,22050,16e3,12e3,11025,8e3,7350],this._mpegAudioV10SampleRateTable=[44100,48e3,32e3,0],this._mpegAudioV20SampleRateTable=[22050,24e3,16e3,0],this._mpegAudioV25SampleRateTable=[11025,12e3,8e3,0],this._mpegAudioL1BitRateTable=[0,32,64,96,128,160,192,224,256,288,320,352,384,416,448,-1],this._mpegAudioL2BitRateTable=[0,32,48,56,64,80,96,112,128,160,192,224,256,320,384,-1],this._mpegAudioL3BitRateTable=[0,32,40,48,56,64,80,96,112,128,160,192,224,256,320,-1],this._videoTrack={type:"video",id:1,sequenceNumber:0,samples:[],length:0},this._audioTrack={type:"audio",id:2,sequenceNumber:0,samples:[],length:0},this._littleEndian=function(){let i=new ArrayBuffer(2);return new DataView(i).setInt16(0,256,!0),new Int16Array(i)[0]===256}()}destroy(){this._mediaInfo=null,this._metadata=null,this._audioMetadata=null,this._videoMetadata=null,this._videoTrack=null,this._audioTrack=null,this._onError=null,this._onMediaInfo=null,this._onMetaDataArrived=null,this._onScriptDataArrived=null,this._onTrackMetadata=null,this._onDataAvailable=null}static probe(e){let n=new Uint8Array(e),i={match:!1};if(n[0]!==70||n[1]!==76||n[2]!==86||n[3]!==1)return i;let t=(n[4]&4)>>>2!==0,r=(n[4]&1)!==0,o=s(n,5);return o<9?i:{match:!0,consumed:o,dataOffset:o,hasAudioTrack:t,hasVideoTrack:r}}bindDataSource(e){return e.onDataArrival=this.parseChunks.bind(this),this}get onTrackMetadata(){return this._onTrackMetadata}set onTrackMetadata(e){this._onTrackMetadata=e}get onMediaInfo(){return this._onMediaInfo}set onMediaInfo(e){this._onMediaInfo=e}get onMetaDataArrived(){return this._onMetaDataArrived}set onMetaDataArrived(e){this._onMetaDataArrived=e}get onScriptDataArrived(){return this._onScriptDataArrived}set onScriptDataArrived(e){this._onScriptDataArrived=e}get onError(){return this._onError}set onError(e){this._onError=e}get onDataAvailable(){return this._onDataAvailable}set onDataAvailable(e){this._onDataAvailable=e}get timestampBase(){return this._timestampBase}set timestampBase(e){this._timestampBase=e}get overridedDuration(){return this._duration}set overridedDuration(e){this._durationOverrided=!0,this._duration=e,this._mediaInfo.duration=e}set overridedHasAudio(e){this._hasAudioFlagOverrided=!0,this._hasAudio=e,this._mediaInfo.hasAudio=e}set overridedHasVideo(e){this._hasVideoFlagOverrided=!0,this._hasVideo=e,this._mediaInfo.hasVideo=e}resetMediaInfo(){this._mediaInfo=new tt}_isInitialMetadataDispatched(){return this._hasAudio&&this._hasVideo?this._audioInitialMetadataDispatched&&this._videoInitialMetadataDispatched:this._hasAudio&&!this._hasVideo?this._audioInitialMetadataDispatched:!this._hasAudio&&this._hasVideo?this._videoInitialMetadataDispatched:!1}parseChunks(e,n){if(!this._onError||!this._onMediaInfo||!this._onTrackMetadata||!this._onDataAvailable)throw new w("Flv: onError & onMediaInfo & onTrackMetadata & onDataAvailable callback must be specified");let i=0,t=this._littleEndian;if(n===0)if(e.byteLength>13)i=u.probe(e).dataOffset;else return 0;for(this._firstParse&&(this._firstParse=!1,n+i!==this._dataOffset&&T.w(this.TAG,"First time parsing but chunk byteStart invalid!"),new DataView(e,i).getUint32(0,!t)!==0&&T.w(this.TAG,"PrevTagSize0 !== 0 !!!"),i+=4);ie.byteLength)break;let o=r.getUint8(0),a=r.getUint32(0,!t)&16777215;if(i+11+a+4>e.byteLength)break;if(o!==8&&o!==9&&o!==18){T.w(this.TAG,`Unsupported tag type ${o}, skipped`),i+=11+a+4;continue}let I=r.getUint8(4),p=r.getUint8(5),M=r.getUint8(6),W=r.getUint8(7),se=M|p<<8|I<<16|W<<24;(r.getUint32(7,!t)&16777215)!==0&&T.w(this.TAG,"Meet tag which has StreamID != 0!");let Se=i+11;switch(o){case 8:this._parseAudioData(e,Se,a,se);break;case 9:this._parseVideoData(e,Se,a,se,n+i);break;case 18:this._parseScriptData(e,Se,a);break}let ae=r.getUint32(11+a,!t);ae!==11+a&&T.w(this.TAG,`Invalid PrevTagSize ${ae}`),i+=11+a+4}return this._isInitialMetadataDispatched()&&this._dispatch&&(this._audioTrack.length||this._videoTrack.length)&&this._onDataAvailable(this._audioTrack,this._videoTrack),i}_parseScriptData(e,n,i){let t=gt.parseScriptData(e,n,i);if(t.hasOwnProperty("onMetaData")){if(t.onMetaData==null||typeof t.onMetaData!="object"){T.w(this.TAG,"Invalid onMetaData structure!");return}this._metadata&&T.w(this.TAG,"Found another onMetaData tag!"),this._metadata=t;let r=this._metadata.onMetaData;if(this._onMetaDataArrived&&this._onMetaDataArrived(Object.assign({},r)),typeof r.hasAudio=="boolean"&&this._hasAudioFlagOverrided===!1&&(this._hasAudio=r.hasAudio,this._mediaInfo.hasAudio=this._hasAudio),typeof r.hasVideo=="boolean"&&this._hasVideoFlagOverrided===!1&&(this._hasVideo=r.hasVideo,this._mediaInfo.hasVideo=this._hasVideo),typeof r.audiodatarate=="number"&&(this._mediaInfo.audioDataRate=r.audiodatarate),typeof r.videodatarate=="number"&&(this._mediaInfo.videoDataRate=r.videodatarate),typeof r.width=="number"&&(this._mediaInfo.width=r.width),typeof r.height=="number"&&(this._mediaInfo.height=r.height),typeof r.duration=="number"){if(!this._durationOverrided){let o=Math.floor(r.duration*this._timescale);this._duration=o,this._mediaInfo.duration=o}}else this._mediaInfo.duration=0;if(typeof r.framerate=="number"){let o=Math.floor(r.framerate*1e3);if(o>0){let a=o/1e3;this._referenceFrameRate.fixed=!0,this._referenceFrameRate.fps=a,this._referenceFrameRate.fps_num=o,this._referenceFrameRate.fps_den=1e3,this._mediaInfo.fps=a}}if(typeof r.keyframes=="object"){this._mediaInfo.hasKeyframesIndex=!0;let o=r.keyframes;this._mediaInfo.keyframesIndex=this._parseKeyframesIndex(o),r.keyframes=null}else this._mediaInfo.hasKeyframesIndex=!1;this._dispatch=!1,this._mediaInfo.metadata=r,T.v(this.TAG,"Parsed onMetaData"),this._mediaInfo.isComplete()&&this._onMediaInfo(this._mediaInfo)}Object.keys(t).length>0&&this._onScriptDataArrived&&this._onScriptDataArrived(Object.assign({},t))}_parseKeyframesIndex(e){let n=[],i=[];for(let t=1;t>>4;if(I!==2&&I!==10){this._onError(S.CODEC_UNSUPPORTED,"Flv: Unsupported audio codec idx: "+I);return}let p=0,M=(a&12)>>>2;if(M>=0&&M<=4)p=this._flvSoundRateTable[M];else{this._onError(S.FORMAT_ERROR,"Flv: Invalid audio sample rate idx: "+M);return}let W=(a&2)>>>1,se=a&1,G=this._audioMetadata,Se=this._audioTrack;if(G||(this._hasAudio===!1&&this._hasAudioFlagOverrided===!1&&(this._hasAudio=!0,this._mediaInfo.hasAudio=!0),G=this._audioMetadata={},G.type="audio",G.id=Se.id,G.timescale=this._timescale,G.duration=this._duration,G.audioSampleRate=p,G.channelCount=se===0?1:2),I===10){let ae=this._parseAACAudioData(e,n+1,i-1);if(ae==null)return;if(ae.packetType===0){G.config&&T.w(this.TAG,"Found another AudioSpecificConfig!");let q=ae.data;G.audioSampleRate=q.samplingRate,G.channelCount=q.channelCount,G.codec=q.codec,G.originalCodec=q.originalCodec,G.config=q.config,G.refSampleDuration=1024/G.audioSampleRate*G.timescale,T.v(this.TAG,"Parsed AudioSpecificConfig"),this._isInitialMetadataDispatched()?this._dispatch&&(this._audioTrack.length||this._videoTrack.length)&&this._onDataAvailable(this._audioTrack,this._videoTrack):this._audioInitialMetadataDispatched=!0,this._dispatch=!1,this._onTrackMetadata("audio",G);let X=this._mediaInfo;X.audioCodec=G.originalCodec,X.audioSampleRate=G.audioSampleRate,X.audioChannelCount=G.channelCount,X.hasVideo?X.videoCodec!=null&&(X.mimeType='video/x-flv; codecs="'+X.videoCodec+","+X.audioCodec+'"'):X.mimeType='video/x-flv; codecs="'+X.audioCodec+'"',X.isComplete()&&this._onMediaInfo(X)}else if(ae.packetType===1){let q=this._timestampBase+t,X={unit:ae.data,length:ae.data.byteLength,dts:q,pts:q};Se.samples.push(X),Se.length+=ae.data.length}else T.e(this.TAG,`Flv: Unsupported AAC data type ${ae.packetType}`)}else if(I===2){if(!G.codec){let Ee=this._parseMP3AudioData(e,n+1,i-1,!0);if(Ee==null)return;G.audioSampleRate=Ee.samplingRate,G.channelCount=Ee.channelCount,G.codec=Ee.codec,G.originalCodec=Ee.originalCodec,G.refSampleDuration=1152/G.audioSampleRate*G.timescale,T.v(this.TAG,"Parsed MPEG Audio Frame Header"),this._audioInitialMetadataDispatched=!0,this._onTrackMetadata("audio",G);let ge=this._mediaInfo;ge.audioCodec=G.codec,ge.audioSampleRate=G.audioSampleRate,ge.audioChannelCount=G.channelCount,ge.audioDataRate=Ee.bitRate,ge.hasVideo?ge.videoCodec!=null&&(ge.mimeType='video/x-flv; codecs="'+ge.videoCodec+","+ge.audioCodec+'"'):ge.mimeType='video/x-flv; codecs="'+ge.audioCodec+'"',ge.isComplete()&&this._onMediaInfo(ge)}let ae=this._parseMP3AudioData(e,n+1,i-1,!1);if(ae==null)return;let q=this._timestampBase+t,X={unit:ae,length:ae.byteLength,dts:q,pts:q};Se.samples.push(X),Se.length+=ae.length}}_parseAACAudioData(e,n,i){if(i<=1){T.w(this.TAG,"Flv: Invalid AAC packet, missing AACPacketType or/and Data!");return}let t={},r=new Uint8Array(e,n,i);return t.packetType=r[0],r[0]===0?t.data=this._parseAACAudioSpecificConfig(e,n+1,i-1):t.data=r.subarray(1),t}_parseAACAudioSpecificConfig(e,n,i){let t=new Uint8Array(e,n,i),r=null,o=0,a=0,I=null,p=0,M=null;if(o=a=t[0]>>>3,p=(t[0]&7)<<1|t[1]>>>7,p<0||p>=this._mpegSamplingRates.length){this._onError(S.FORMAT_ERROR,"Flv: AAC invalid sampling frequency index!");return}let W=this._mpegSamplingRates[p],se=(t[1]&120)>>>3;if(se<0||se>=8){this._onError(S.FORMAT_ERROR,"Flv: AAC invalid channel configuration");return}o===5&&(M=(t[1]&7)<<1|t[2]>>>7,I=(t[2]&124)>>>2);let G=self.navigator.userAgent.toLowerCase();return G.indexOf("firefox")!==-1?p>=6?(o=5,r=new Array(4),M=p-3):(o=2,r=new Array(2),M=p):G.indexOf("android")!==-1?(o=2,r=new Array(2),M=p):(o=5,M=p,r=new Array(4),p>=6?M=p-3:se===1&&(o=2,r=new Array(2),M=p)),r[0]=o<<3,r[0]|=(p&15)>>>1,r[1]=(p&15)<<7,r[1]|=(se&15)<<3,o===5&&(r[1]|=(M&15)>>>1,r[2]=(M&1)<<7,r[2]|=8,r[3]=0),{config:r,samplingRate:W,channelCount:se,codec:"mp4a.40."+o,originalCodec:"mp4a.40."+a}}_parseMP3AudioData(e,n,i,t){if(i<4){T.w(this.TAG,"Flv: Invalid MP3 packet, header missing!");return}let r=this._littleEndian,o=new Uint8Array(e,n,i),a=null;if(t){if(o[0]!==255)return;let I=o[1]>>>3&3,p=(o[1]&6)>>1,M=(o[2]&240)>>>4,W=(o[2]&12)>>>2,G=(o[3]>>>6&3)!==3?2:1,Se=0,ae=0,q=34,X="mp3";switch(I){case 0:Se=this._mpegAudioV25SampleRateTable[W];break;case 2:Se=this._mpegAudioV20SampleRateTable[W];break;case 3:Se=this._mpegAudioV10SampleRateTable[W];break}switch(p){case 1:q=34,M>>4,I=o&15;if(I!==7){this._onError(S.CODEC_UNSUPPORTED,`Flv: Unsupported codec in video frame: ${I}`);return}this._parseAVCVideoPacket(e,n+1,i-1,t,r,a)}_parseAVCVideoPacket(e,n,i,t,r,o){if(i<4){T.w(this.TAG,"Flv: Invalid AVC packet, missing AVCPacketType or/and CompositionTime");return}let a=this._littleEndian,I=new DataView(e,n,i),p=I.getUint8(0),W=(I.getUint32(0,!a)&16777215)<<8>>8;if(p===0)this._parseAVCDecoderConfigurationRecord(e,n+4,i-4);else if(p===1)this._parseAVCVideoData(e,n+4,i-4,t,r,o,W);else if(p!==2){this._onError(S.FORMAT_ERROR,`Flv: Invalid video packet type ${p}`);return}}_parseAVCDecoderConfigurationRecord(e,n,i){if(i<7){T.w(this.TAG,"Flv: Invalid AVCDecoderConfigurationRecord, lack of data!");return}let t=this._videoMetadata,r=this._videoTrack,o=this._littleEndian,a=new DataView(e,n,i);t?typeof t.avcc!="undefined"&&T.w(this.TAG,"Found another AVCDecoderConfigurationRecord!"):(this._hasVideo===!1&&this._hasVideoFlagOverrided===!1&&(this._hasVideo=!0,this._mediaInfo.hasVideo=!0),t=this._videoMetadata={},t.type="video",t.id=r.id,t.timescale=this._timescale,t.duration=this._duration);let I=a.getUint8(0),p=a.getUint8(1),M=a.getUint8(2),W=a.getUint8(3);if(I!==1||p===0){this._onError(S.FORMAT_ERROR,"Flv: Invalid AVCDecoderConfigurationRecord");return}if(this._naluLengthSize=(a.getUint8(4)&3)+1,this._naluLengthSize!==3&&this._naluLengthSize!==4){this._onError(S.FORMAT_ERROR,`Flv: Strange NaluLengthSizeMinusOne: ${this._naluLengthSize-1}`);return}let se=a.getUint8(5)&31;if(se===0){this._onError(S.FORMAT_ERROR,"Flv: Invalid AVCDecoderConfigurationRecord: No SPS");return}else se>1&&T.w(this.TAG,`Flv: Strange AVCDecoderConfigurationRecord: SPS Count = ${se}`);let G=6;for(let ae=0;ae1&&T.w(this.TAG,`Flv: Strange AVCDecoderConfigurationRecord: PPS Count = ${Se}`);G++;for(let ae=0;ae=i){T.w(this.TAG,`Malformed Nalu near timestamp ${Se}, offset = ${se}, dataSize = ${i}`);break}let q=p.getUint32(se,!I);if(G===3&&(q>>>=8),q>i-G){T.w(this.TAG,`Malformed Nalus near timestamp ${Se}, NaluSize > DataSize!`);return}let X=p.getUint8(se+G)&31;X===5&&(ae=!0);let Ee=new Uint8Array(e,n+se,G+q),ge={type:X,data:Ee};M.push(ge),W+=Ee.byteLength,se+=G+q}if(M.length){let q=this._videoTrack,X={units:M,length:W,isKeyframe:ae,dts:Se,cts:a,pts:Se+a};ae&&(X.fileposition=r),q.samples.push(X),q.length+=W}}}var P=u;class d{static init(){d.types={avc1:[],avcC:[],btrt:[],dinf:[],dref:[],esds:[],ftyp:[],hdlr:[],mdat:[],mdhd:[],mdia:[],mfhd:[],minf:[],moof:[],moov:[],mp4a:[],mvex:[],mvhd:[],sdtp:[],stbl:[],stco:[],stsc:[],stsd:[],stsz:[],stts:[],tfdt:[],tfhd:[],traf:[],trak:[],trun:[],trex:[],tkhd:[],vmhd:[],smhd:[],".mp3":[]};for(let n in d.types)d.types.hasOwnProperty(n)&&(d.types[n]=[n.charCodeAt(0),n.charCodeAt(1),n.charCodeAt(2),n.charCodeAt(3)]);let e=d.constants={};e.FTYP=new Uint8Array([105,115,111,109,0,0,0,1,105,115,111,109,97,118,99,49]),e.STSD_PREFIX=new Uint8Array([0,0,0,0,0,0,0,1]),e.STTS=new Uint8Array([0,0,0,0,0,0,0,0]),e.STSC=e.STCO=e.STTS,e.STSZ=new Uint8Array([0,0,0,0,0,0,0,0,0,0,0,0]),e.HDLR_VIDEO=new Uint8Array([0,0,0,0,0,0,0,0,118,105,100,101,0,0,0,0,0,0,0,0,0,0,0,0,86,105,100,101,111,72,97,110,100,108,101,114,0]),e.HDLR_AUDIO=new Uint8Array([0,0,0,0,0,0,0,0,115,111,117,110,0,0,0,0,0,0,0,0,0,0,0,0,83,111,117,110,100,72,97,110,100,108,101,114,0]),e.DREF=new Uint8Array([0,0,0,0,0,0,0,1,0,0,0,12,117,114,108,32,0,0,0,1]),e.SMHD=new Uint8Array([0,0,0,0,0,0,0,0]),e.VMHD=new Uint8Array([0,0,0,1,0,0,0,0,0,0,0,0])}static box(e){let n=8,i=null,t=Array.prototype.slice.call(arguments,1),r=t.length;for(let a=0;a>>24&255,i[1]=n>>>16&255,i[2]=n>>>8&255,i[3]=n&255,i.set(e,4);let o=8;for(let a=0;a>>24&255,e>>>16&255,e>>>8&255,e&255,n>>>24&255,n>>>16&255,n>>>8&255,n&255,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,64,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,255,255,255,255]))}static trak(e){return d.box(d.types.trak,d.tkhd(e),d.mdia(e))}static tkhd(e){let n=e.id,i=e.duration,t=e.presentWidth,r=e.presentHeight;return d.box(d.types.tkhd,new Uint8Array([0,0,0,7,0,0,0,0,0,0,0,0,n>>>24&255,n>>>16&255,n>>>8&255,n&255,0,0,0,0,i>>>24&255,i>>>16&255,i>>>8&255,i&255,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,64,0,0,0,t>>>8&255,t&255,0,0,r>>>8&255,r&255,0,0]))}static mdia(e){return d.box(d.types.mdia,d.mdhd(e),d.hdlr(e),d.minf(e))}static mdhd(e){let n=e.timescale,i=e.duration;return d.box(d.types.mdhd,new Uint8Array([0,0,0,0,0,0,0,0,0,0,0,0,n>>>24&255,n>>>16&255,n>>>8&255,n&255,i>>>24&255,i>>>16&255,i>>>8&255,i&255,85,196,0,0]))}static hdlr(e){let n=null;return e.type==="audio"?n=d.constants.HDLR_AUDIO:n=d.constants.HDLR_VIDEO,d.box(d.types.hdlr,n)}static minf(e){let n=null;return e.type==="audio"?n=d.box(d.types.smhd,d.constants.SMHD):n=d.box(d.types.vmhd,d.constants.VMHD),d.box(d.types.minf,n,d.dinf(),d.stbl(e))}static dinf(){return d.box(d.types.dinf,d.box(d.types.dref,d.constants.DREF))}static stbl(e){return d.box(d.types.stbl,d.stsd(e),d.box(d.types.stts,d.constants.STTS),d.box(d.types.stsc,d.constants.STSC),d.box(d.types.stsz,d.constants.STSZ),d.box(d.types.stco,d.constants.STCO))}static stsd(e){return e.type==="audio"?e.codec==="mp3"?d.box(d.types.stsd,d.constants.STSD_PREFIX,d.mp3(e)):d.box(d.types.stsd,d.constants.STSD_PREFIX,d.mp4a(e)):d.box(d.types.stsd,d.constants.STSD_PREFIX,d.avc1(e))}static mp3(e){let n=e.channelCount,i=e.audioSampleRate,t=new Uint8Array([0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,n,0,16,0,0,0,0,i>>>8&255,i&255,0,0]);return d.box(d.types[".mp3"],t)}static mp4a(e){let n=e.channelCount,i=e.audioSampleRate,t=new Uint8Array([0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,n,0,16,0,0,0,0,i>>>8&255,i&255,0,0]);return d.box(d.types.mp4a,t,d.esds(e))}static esds(e){let n=e.config||[],i=n.length,t=new Uint8Array([0,0,0,0,3,23+i,0,1,0,4,15+i,64,21,0,0,0,0,0,0,0,0,0,0,0,5].concat([i]).concat(n).concat([6,1,2]));return d.box(d.types.esds,t)}static avc1(e){let n=e.avcc,i=e.codecWidth,t=e.codecHeight,r=new Uint8Array([0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,i>>>8&255,i&255,t>>>8&255,t&255,0,72,0,0,0,72,0,0,0,0,0,0,0,1,10,120,113,113,47,102,108,118,46,106,115,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,24,255,255]);return d.box(d.types.avc1,r,d.box(d.types.avcC,n))}static mvex(e){return d.box(d.types.mvex,d.trex(e))}static trex(e){let n=e.id,i=new Uint8Array([0,0,0,0,n>>>24&255,n>>>16&255,n>>>8&255,n&255,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,1]);return d.box(d.types.trex,i)}static moof(e,n){return d.box(d.types.moof,d.mfhd(e.sequenceNumber),d.traf(e,n))}static mfhd(e){let n=new Uint8Array([0,0,0,0,e>>>24&255,e>>>16&255,e>>>8&255,e&255]);return d.box(d.types.mfhd,n)}static traf(e,n){let i=e.id,t=d.box(d.types.tfhd,new Uint8Array([0,0,0,0,i>>>24&255,i>>>16&255,i>>>8&255,i&255])),r=d.box(d.types.tfdt,new Uint8Array([0,0,0,0,n>>>24&255,n>>>16&255,n>>>8&255,n&255])),o=d.sdtp(e),a=d.trun(e,o.byteLength+16+16+8+16+8+8);return d.box(d.types.traf,t,r,a,o)}static sdtp(e){let n=e.samples||[],i=n.length,t=new Uint8Array(4+i);for(let r=0;r>>24&255,t>>>16&255,t>>>8&255,t&255,n>>>24&255,n>>>16&255,n>>>8&255,n&255],0);for(let a=0;a>>24&255,I>>>16&255,I>>>8&255,I&255,p>>>24&255,p>>>16&255,p>>>8&255,p&255,M.isLeading<<2|M.dependsOn,M.isDependedOn<<6|M.hasRedundancy<<4|M.isNonSync,0,0,W>>>24&255,W>>>16&255,W>>>8&255,W&255],12+16*a)}return d.box(d.types.trun,o)}static mdat(e){return d.box(d.types.mdat,e)}}d.init();var m=d;class B{static getSilentFrame(e,n){if(e==="mp4a.40.2"){if(n===1)return new Uint8Array([0,200,0,128,35,128]);if(n===2)return new Uint8Array([33,0,73,144,2,25,0,35,128]);if(n===3)return new Uint8Array([0,200,0,128,32,132,1,38,64,8,100,0,142]);if(n===4)return new Uint8Array([0,200,0,128,32,132,1,38,64,8,100,0,128,44,128,8,2,56]);if(n===5)return new Uint8Array([0,200,0,128,32,132,1,38,64,8,100,0,130,48,4,153,0,33,144,2,56]);if(n===6)return new Uint8Array([0,200,0,128,32,132,1,38,64,8,100,0,130,48,4,153,0,33,144,2,0,178,0,32,8,224])}else{if(n===1)return new Uint8Array([1,64,34,128,163,78,230,128,186,8,0,0,0,28,6,241,193,10,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,94]);if(n===2)return new Uint8Array([1,64,34,128,163,94,230,128,186,8,0,0,0,0,149,0,6,241,161,10,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,94]);if(n===3)return new 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"+n.statusText)}}_onProgress(e){if(this._status===C.kError)return;if(this._contentLength===null){let i=!1;if(this._waitForTotalLength){this._waitForTotalLength=!1,this._totalLengthReceived=!0,i=!0;let t=e.total;this._internalAbort(),t!=null&t!==0&&(this._totalLength=t)}if(this._range.to===-1?this._contentLength=this._totalLength-this._range.from:this._contentLength=this._range.to-this._range.from+1,i){this._openSubRange();return}this._onContentLengthKnown&&this._onContentLengthKnown(this._contentLength)}let n=e.loaded-this._lastTimeLoaded;this._lastTimeLoaded=e.loaded,this._speedSampler.addBytes(n)}_normalizeSpeed(e){let n=this._chunkSizeKBList,i=n.length-1,t=0,r=0,o=i;if(e=n[t]&&e=3&&(n=this._speedSampler.currentKBps)),n!==0){let o=this._normalizeSpeed(n);this._currentSpeedNormalized!==o&&(this._currentSpeedNormalized=o,this._currentChunkSizeKB=o)}let i=e.target.response,t=this._range.from+this._receivedLength;this._receivedLength+=i.byteLength;let r=!1;this._contentLength!=null&&this._receivedLength0&&this._receivedLength{this._dispatchArrayBuffer(n.result)},n.readAsArrayBuffer(e.data)}else{this._status=C.kError;let n={code:-1,msg:"Unsupported WebSocket message type: "+e.data.constructor.name};if(this._onError)this._onError(xe.EXCEPTION,n);else throw new J(n.msg)}}_dispatchArrayBuffer(e){let n=e,i=this._receivedLength;this._receivedLength+=n.byteLength,this._onDataArrival&&this._onDataArrival(n,i,this._receivedLength)}_onWebSocketError(e){this._status=C.kError;let n={code:e.code,msg:e.message};if(this._onError)this._onError(xe.EXCEPTION,n);else throw new J(n.msg)}}var Ce=fe;class Ke{constructor(e){this._zeroStart=e||!1}getConfig(e,n){let i={};if(n.from!==0||n.to!==-1){let t;n.to!==-1?t=`bytes=${n.from.toString()}-${n.to.toString()}`:t=`bytes=${n.from.toString()}-`,i.Range=t}else this._zeroStart&&(i.Range="bytes=0-");return{url:e,headers:i}}removeURLParameters(e){return e}}var je=Ke;class de{constructor(e,n){this._startName=e,this._endName=n}getConfig(e,n){let i=e;if(n.from!==0||n.to!==-1){let t=!0;i.indexOf("?")===-1&&(i+="?",t=!1),t&&(i+="&"),i+=`${this._startName}=${n.from.toString()}`,n.to!==-1&&(i+=`&${this._endName}=${n.to.toString()}`)}return{url:i,headers:{}}}removeURLParameters(e){let n=e.split("?")[0],i,t=e.indexOf("?");t!==-1&&(i=e.substring(t+1));let r="";if(i!=null&&i.length>0){let o=i.split("&");for(let a=0;a0;I[0]!==this._startName&&I[0]!==this._endName&&(p&&(r+="&"),r+=o[a])}}return r.length===0?n:n+"?"+r}}var Fe=de;class E{constructor(e,n,i){this.TAG="IOController",this._config=n,this._extraData=i,this._stashInitialSize=1024*384,n.stashInitialSize!=null&&n.stashInitialSize>0&&(this._stashInitialSize=n.stashInitialSize),this._stashUsed=0,this._stashSize=this._stashInitialSize,this._bufferSize=1024*1024*3,this._stashBuffer=new ArrayBuffer(this._bufferSize),this._stashByteStart=0,this._enableStash=!0,n.enableStashBuffer===!1&&(this._enableStash=!1),this._loader=null,this._loaderClass=null,this._seekHandler=null,this._dataSource=e,this._isWebSocketURL=/wss?:\/\/(.+?)/.test(e.url),this._refTotalLength=e.filesize?e.filesize:null,this._totalLength=this._refTotalLength,this._fullRequestFlag=!1,this._currentRange=null,this._redirectedURL=null,this._speedNormalized=0,this._speedSampler=new pe,this._speedNormalizeList=[64,128,256,384,512,768,1024,1536,2048,3072,4096],this._isEarlyEofReconnecting=!1,this._paused=!1,this._resumeFrom=0,this._onDataArrival=null,this._onSeeked=null,this._onError=null,this._onComplete=null,this._onRedirect=null,this._onRecoveredEarlyEof=null,this._selectSeekHandler(),this._selectLoader(),this._createLoader()}destroy(){this._loader.isWorking()&&this._loader.abort(),this._loader.destroy(),this._loader=null,this._loaderClass=null,this._dataSource=null,this._stashBuffer=null,this._stashUsed=this._stashSize=this._bufferSize=this._stashByteStart=0,this._currentRange=null,this._speedSampler=null,this._isEarlyEofReconnecting=!1,this._onDataArrival=null,this._onSeeked=null,this._onError=null,this._onComplete=null,this._onRedirect=null,this._onRecoveredEarlyEof=null,this._extraData=null}isWorking(){return this._loader&&this._loader.isWorking()&&!this._paused}isPaused(){return this._paused}get status(){return this._loader.status}get extraData(){return this._extraData}set extraData(e){this._extraData=e}get onDataArrival(){return this._onDataArrival}set onDataArrival(e){this._onDataArrival=e}get onSeeked(){return this._onSeeked}set onSeeked(e){this._onSeeked=e}get onError(){return this._onError}set onError(e){this._onError=e}get onComplete(){return this._onComplete}set onComplete(e){this._onComplete=e}get onRedirect(){return this._onRedirect}set onRedirect(e){this._onRedirect=e}get onRecoveredEarlyEof(){return this._onRecoveredEarlyEof}set onRecoveredEarlyEof(e){this._onRecoveredEarlyEof=e}get currentURL(){return this._dataSource.url}get hasRedirect(){return this._redirectedURL!=null||this._dataSource.redirectedURL!=null}get currentRedirectedURL(){return this._redirectedURL||this._dataSource.redirectedURL}get currentSpeed(){return this._loaderClass===ie?this._loader.currentSpeed:this._speedSampler.lastSecondKBps}get loaderType(){return this._loader.type}_selectSeekHandler(){let e=this._config;if(e.seekType==="range")this._seekHandler=new je(this._config.rangeLoadZeroStart);else if(e.seekType==="param"){let n=e.seekParamStart||"bstart",i=e.seekParamEnd||"bend";this._seekHandler=new Fe(n,i)}else if(e.seekType==="custom"){if(typeof e.customSeekHandler!="function")throw new Oe("Custom seekType specified in config but invalid customSeekHandler!");this._seekHandler=new e.customSeekHandler}else throw new Oe(`Invalid seekType in config: ${e.seekType}`)}_selectLoader(){if(this._config.customLoader!=null)this._loaderClass=this._config.customLoader;else if(this._isWebSocketURL)this._loaderClass=Ce;else if(U.isSupported())this._loaderClass=U;else if(v.isSupported())this._loaderClass=v;else if(ie.isSupported())this._loaderClass=ie;else throw new J("Your browser doesn't support xhr with arraybuffer responseType!")}_createLoader(){this._loader=new this._loaderClass(this._seekHandler,this._config),this._loader.needStashBuffer===!1&&(this._enableStash=!1),this._loader.onContentLengthKnown=this._onContentLengthKnown.bind(this),this._loader.onURLRedirect=this._onURLRedirect.bind(this),this._loader.onDataArrival=this._onLoaderChunkArrival.bind(this),this._loader.onComplete=this._onLoaderComplete.bind(this),this._loader.onError=this._onLoaderError.bind(this)}open(e){this._currentRange={from:0,to:-1},e&&(this._currentRange.from=e),this._speedSampler.reset(),e||(this._fullRequestFlag=!0),this._loader.open(this._dataSource,Object.assign({},this._currentRange))}abort(){this._loader.abort(),this._paused&&(this._paused=!1,this._resumeFrom=0)}pause(){this.isWorking()&&(this._loader.abort(),this._stashUsed!==0?(this._resumeFrom=this._stashByteStart,this._currentRange.to=this._stashByteStart-1):this._resumeFrom=this._currentRange.to+1,this._stashUsed=0,this._stashByteStart=0,this._paused=!0)}resume(){if(this._paused){this._paused=!1;let e=this._resumeFrom;this._resumeFrom=0,this._internalSeek(e,!0)}}seek(e){this._paused=!1,this._stashUsed=0,this._stashByteStart=0,this._internalSeek(e,!0)}_internalSeek(e,n){this._loader.isWorking()&&this._loader.abort(),this._flushStashBuffer(n),this._loader.destroy(),this._loader=null;let i={from:e,to:-1};this._currentRange={from:i.from,to:-1},this._speedSampler.reset(),this._stashSize=this._stashInitialSize,this._createLoader(),this._loader.open(this._dataSource,i),this._onSeeked&&this._onSeeked()}updateUrl(e){if(!e||typeof e!="string"||e.length===0)throw new Oe("Url must be a non-empty string!");this._dataSource.url=e}_expandBuffer(e){let n=this._stashSize;for(;n+1024*1024*10){let t=new Uint8Array(this._stashBuffer,0,this._stashUsed);new Uint8Array(i,0,n).set(t,0)}this._stashBuffer=i,this._bufferSize=n}_normalizeSpeed(e){let n=this._speedNormalizeList,i=n.length-1,t=0,r=0,o=i;if(e=n[t]&&e=512&&e<=1024?n=Math.floor(e*1.5):n=e*2,n>8192&&(n=8192);let i=n*1024+1024*1024*1;this._bufferSize0){let o=this._stashBuffer.slice(0,this._stashUsed),a=this._dispatchChunks(o,this._stashByteStart);if(a0){let I=new Uint8Array(o,a);r.set(I,0),this._stashUsed=I.byteLength,this._stashByteStart+=a}}else this._stashUsed=0,this._stashByteStart+=a;this._stashUsed+e.byteLength>this._bufferSize&&(this._expandBuffer(this._stashUsed+e.byteLength),r=new Uint8Array(this._stashBuffer,0,this._bufferSize)),r.set(new Uint8Array(e),this._stashUsed),this._stashUsed+=e.byteLength}else{let o=this._dispatchChunks(e,n);if(othis._bufferSize&&(this._expandBuffer(a),r=new Uint8Array(this._stashBuffer,0,this._bufferSize)),r.set(new Uint8Array(e,o),0),this._stashUsed+=a,this._stashByteStart=n+o}}}else if(this._stashUsed===0){let r=this._dispatchChunks(e,n);if(rthis._bufferSize&&this._expandBuffer(o),new Uint8Array(this._stashBuffer,0,this._bufferSize).set(new Uint8Array(e,r),0),this._stashUsed+=o,this._stashByteStart=n+r}}else{this._stashUsed+e.byteLength>this._bufferSize&&this._expandBuffer(this._stashUsed+e.byteLength);let r=new Uint8Array(this._stashBuffer,0,this._bufferSize);r.set(new Uint8Array(e),this._stashUsed),this._stashUsed+=e.byteLength;let o=this._dispatchChunks(this._stashBuffer.slice(0,this._stashUsed),this._stashByteStart);if(o0){let a=new Uint8Array(this._stashBuffer,o);r.set(a,0)}this._stashUsed-=o,this._stashByteStart+=o}}_flushStashBuffer(e){if(this._stashUsed>0){let n=this._stashBuffer.slice(0,this._stashUsed),i=this._dispatchChunks(n,this._stashByteStart),t=n.byteLength-i;if(i0){let r=new Uint8Array(this._stashBuffer,0,this._bufferSize),o=new Uint8Array(n,i);r.set(o,0),this._stashUsed=o.byteLength,this._stashByteStart+=i}return 0}return this._stashUsed=0,this._stashByteStart=0,t}return 0}_onLoaderComplete(e,n){this._flushStashBuffer(!0),this._onComplete&&this._onComplete(this._extraData)}_onLoaderError(e,n){switch(T.e(this.TAG,`Loader error, code = ${n.code}, msg = ${n.msg}`),this._flushStashBuffer(!1),this._isEarlyEofReconnecting&&(this._isEarlyEofReconnecting=!1,e=xe.UNRECOVERABLE_EARLY_EOF),e){case xe.EARLY_EOF:{if(!this._config.isLive&&this._totalLength){let i=this._currentRange.to+1;i0){let n=ce.getConfig();e.emit("change",n)}}static registerListener(e){ce.emitter.addListener("change",e)}static removeListener(e){ce.emitter.removeListener("change",e)}static addLogListener(e){T.emitter.addListener("log",e),T.emitter.listenerCount("log")>0&&(T.ENABLE_CALLBACK=!0,ce._notifyChange())}static removeLogListener(e){T.emitter.removeListener("log",e),T.emitter.listenerCount("log")===0&&(T.ENABLE_CALLBACK=!1,ce._notifyChange())}}ce.emitter=new(z());var me=ce;class He{constructor(){this.mimeType=null,this.duration=null,this.hasAudio=null,this.hasVideo=null,this.audioCodec=null,this.videoCodec=null,this.audioDataRate=null,this.videoDataRate=null,this.audioSampleRate=null,this.audioChannelCount=null,this.width=null,this.height=null,this.fps=null,this.profile=null,this.level=null,this.refFrames=null,this.chromaFormat=null,this.sarNum=null,this.sarDen=null,this.metadata=null,this.segments=null,this.segmentCount=null,this.hasKeyframesIndex=null,this.keyframesIndex=null}isComplete(){let e=this.hasAudio===!1||this.hasAudio===!0&&this.audioCodec!=null&&this.audioSampleRate!=null&&this.audioChannelCount!=null,n=this.hasVideo===!1||this.hasVideo===!0&&this.videoCodec!=null&&this.width!=null&&this.height!=null&&this.fps!=null&&this.profile!=null&&this.level!=null&&this.refFrames!=null&&this.chromaFormat!=null&&this.sarNum!=null&&this.sarDen!=null;return this.mimeType!=null&&this.duration!=null&&this.metadata!=null&&this.hasKeyframesIndex!=null&&e&&n}isSeekable(){return this.hasKeyframesIndex===!0}getNearestKeyframe(e){if(this.keyframesIndex==null)return null;let n=this.keyframesIndex,i=this._search(n.times,e);return{index:i,milliseconds:n.times[i],fileposition:n.filepositions[i]}}_search(e,n){let i=0,t=e.length-1,r=0,o=0,a=t;for(n=e[r]&&n=128){e.push(String.fromCharCode(r&65535)),i+=2;continue}}}else if(n[i]<240){if(qe(n,i,2)){let r=(n[i]&15)<<12|(n[i+1]&63)<<6|n[i+2]&63;if(r>=2048&&(r&63488)!==55296){e.push(String.fromCharCode(r&65535)),i+=3;continue}}}else if(n[i]<248&&qe(n,i,3)){let r=(n[i]&7)<<18|(n[i+1]&63)<<12|(n[i+2]&63)<<6|n[i+3]&63;if(r>65536&&r<1114112){r-=65536,e.push(String.fromCharCode(r>>>10|55296)),e.push(String.fromCharCode(r&1023|56320)),i+=4;continue}}}e.push("\uFFFD"),++i}return e.join("")}var rt=vt;let ke=function(){let _e=new ArrayBuffer(2);return new DataView(_e).setInt16(0,256,!0),new Int16Array(_e)[0]===256}();class lt{static parseScriptData(e,n,i){let t={};try{let r=lt.parseValue(e,n,i),o=lt.parseValue(e,n+r.size,i-r.size);t[r.data]=o.data}catch(r){T.e("AMF",r.toString())}return t}static parseObject(e,n,i){if(i<3)throw new w("Data not enough when parse ScriptDataObject");let t=lt.parseString(e,n,i),r=lt.parseValue(e,n+t.size,i-t.size),o=r.objectEnd;return{data:{name:t.data,value:r.data},size:t.size+r.size,objectEnd:o}}static parseVariable(e,n,i){return lt.parseObject(e,n,i)}static parseString(e,n,i){if(i<2)throw new w("Data not enough when parse String");let r=new DataView(e,n,i).getUint16(0,!ke),o;return r>0?o=rt(new Uint8Array(e,n+2,r)):o="",{data:o,size:2+r}}static parseLongString(e,n,i){if(i<4)throw new w("Data not enough when parse LongString");let r=new DataView(e,n,i).getUint32(0,!ke),o;return r>0?o=rt(new Uint8Array(e,n+4,r)):o="",{data:o,size:4+r}}static parseDate(e,n,i){if(i<10)throw new w("Data size invalid when parse Date");let t=new DataView(e,n,i),r=t.getFloat64(0,!ke),o=t.getInt16(8,!ke);return r+=o*60*1e3,{data:new Date(r),size:10}}static parseValue(e,n,i){if(i<1)throw new w("Data not enough when parse Value");let t=new DataView(e,n,i),r=1,o=t.getUint8(0),a,I=!1;try{switch(o){case 0:a=t.getFloat64(1,!ke),r+=8;break;case 1:{a=!!t.getUint8(1),r+=1;break}case 2:{let p=lt.parseString(e,n+1,i-1);a=p.data,r+=p.size;break}case 3:{a={};let p=0;for((t.getUint32(i-4,!ke)&16777215)===9&&(p=3);r32)throw new Oe("ExpGolomb: readBits() bits exceeded max 32bits!");if(e<=this._current_word_bits_left){let o=this._current_word>>>32-e;return this._current_word<<=e,this._current_word_bits_left-=e,o}let n=this._current_word_bits_left?this._current_word:0;n=n>>>32-this._current_word_bits_left;let i=e-this._current_word_bits_left;this._fillCurrentWord();let t=Math.min(i,this._current_word_bits_left),r=this._current_word>>>32-t;return this._current_word<<=t,this._current_word_bits_left-=t,n=n<>>e)return this._current_word<<=e,this._current_word_bits_left-=e,e;return this._fillCurrentWord(),e+this._skipLeadingZero()}readUEG(){let e=this._skipLeadingZero();return this.readBits(e+1)-1}readSEG(){let e=this.readUEG();return e&1?e+1>>>1:-1*(e>>>1)}}var Be=H;class N{static _ebsp2rbsp(e){let n=e,i=n.byteLength,t=new Uint8Array(i),r=0;for(let o=0;o=2&&n[o]===3&&n[o-1]===0&&n[o-2]===0||(t[r]=n[o],r++);return new Uint8Array(t.buffer,0,r)}static parseSPS(e){let n=N._ebsp2rbsp(e),i=new Be(n);i.readByte();let t=i.readByte();i.readByte();let r=i.readByte();i.readUEG();let o=N.getProfileString(t),a=N.getLevelString(r),I=1,p=420,M=[0,420,422,444],W=8;if((t===100||t===110||t===122||t===244||t===44||t===83||t===86||t===118||t===128||t===138||t===144)&&(I=i.readUEG(),I===3&&i.readBits(1),I<=3&&(p=M[I]),W=i.readUEG()+8,i.readUEG(),i.readBits(1),i.readBool())){let $e=I!==3?8:12;for(let Ye=0;Ye<$e;Ye++)i.readBool()&&(Ye<6?N._skipScalingList(i,16):N._skipScalingList(i,64))}i.readUEG();let se=i.readUEG();if(se===0)i.readUEG();else if(se===1){i.readBits(1),i.readSEG(),i.readSEG();let $e=i.readUEG();for(let Ye=0;Ye<$e;Ye++)i.readSEG()}let G=i.readUEG();i.readBits(1);let Se=i.readUEG(),ae=i.readUEG(),q=i.readBits(1);q===0&&i.readBits(1),i.readBits(1);let X=0,Ee=0,ge=0,Ne=0;i.readBool()&&(X=i.readUEG(),Ee=i.readUEG(),ge=i.readUEG(),Ne=i.readUEG());let et=1,we=1,Me=0,_=!0,L=0,j=0;if(i.readBool()){if(i.readBool()){let $e=i.readByte(),Ye=[1,12,10,16,40,24,20,32,80,18,15,64,160,4,3,2],yt=[1,11,11,11,33,11,11,11,33,11,11,33,99,3,2,1];$e>0&&$e<16?(et=Ye[$e-1],we=yt[$e-1]):$e===255&&(et=i.readByte()<<8|i.readByte(),we=i.readByte()<<8|i.readByte())}if(i.readBool()&&i.readBool(),i.readBool()&&(i.readBits(4),i.readBool()&&i.readBits(24)),i.readBool()&&(i.readUEG(),i.readUEG()),i.readBool()){let $e=i.readBits(32),Ye=i.readBits(32);_=i.readBool(),L=Ye,j=$e*2,Me=L/j}}let V=1;(et!==1||we!==1)&&(V=et/we);let ye=0,he=0;if(I===0)ye=1,he=2-q;else{let $e=I===3?1:2,Ye=I===1?2:1;ye=$e,he=Ye*(2-q)}let Ae=(Se+1)*16,Ue=(2-q)*((ae+1)*16);Ae-=(X+Ee)*ye,Ue-=(ge+Ne)*he;let Ge=Math.ceil(Ae*V);return i.destroy(),i=null,{profile_string:o,level_string:a,bit_depth:W,ref_frames:G,chroma_format:p,chroma_format_string:N.getChromaFormatString(p),frame_rate:{fixed:_,fps:Me,fps_den:j,fps_num:L},sar_ratio:{width:et,height:we},codec_size:{width:Ae,height:Ue},present_size:{width:Ge,height:Ue}}}static _skipScalingList(e,n){let i=8,t=8,r=0;for(let o=0;o>>8&255|(_e&255)<<8}function Z(_e){return(_e&4278190080)>>>24|(_e&16711680)>>>8|(_e&65280)<<8|(_e&255)<<24}function s(_e,e){return _e[e]<<24|_e[e+1]<<16|_e[e+2]<<8|_e[e+3]}class u{constructor(e,n){this.TAG="FLVDemuxer",this._config=n,this._onError=null,this._onMediaInfo=null,this._onMetaDataArrived=null,this._onScriptDataArrived=null,this._onTrackMetadata=null,this._onDataAvailable=null,this._dataOffset=e.dataOffset,this._firstParse=!0,this._dispatch=!1,this._hasAudio=e.hasAudioTrack,this._hasVideo=e.hasVideoTrack,this._hasAudioFlagOverrided=!1,this._hasVideoFlagOverrided=!1,this._audioInitialMetadataDispatched=!1,this._videoInitialMetadataDispatched=!1,this._mediaInfo=new tt,this._mediaInfo.hasAudio=this._hasAudio,this._mediaInfo.hasVideo=this._hasVideo,this._metadata=null,this._audioMetadata=null,this._videoMetadata=null,this._naluLengthSize=4,this._timestampBase=0,this._timescale=1e3,this._duration=0,this._durationOverrided=!1,this._referenceFrameRate={fixed:!0,fps:23.976,fps_num:23976,fps_den:1e3},this._flvSoundRateTable=[5500,11025,22050,44100,48e3],this._mpegSamplingRates=[96e3,88200,64e3,48e3,44100,32e3,24e3,22050,16e3,12e3,11025,8e3,7350],this._mpegAudioV10SampleRateTable=[44100,48e3,32e3,0],this._mpegAudioV20SampleRateTable=[22050,24e3,16e3,0],this._mpegAudioV25SampleRateTable=[11025,12e3,8e3,0],this._mpegAudioL1BitRateTable=[0,32,64,96,128,160,192,224,256,288,320,352,384,416,448,-1],this._mpegAudioL2BitRateTable=[0,32,48,56,64,80,96,112,128,160,192,224,256,320,384,-1],this._mpegAudioL3BitRateTable=[0,32,40,48,56,64,80,96,112,128,160,192,224,256,320,-1],this._videoTrack={type:"video",id:1,sequenceNumber:0,samples:[],length:0},this._audioTrack={type:"audio",id:2,sequenceNumber:0,samples:[],length:0},this._littleEndian=function(){let i=new ArrayBuffer(2);return new DataView(i).setInt16(0,256,!0),new Int16Array(i)[0]===256}()}destroy(){this._mediaInfo=null,this._metadata=null,this._audioMetadata=null,this._videoMetadata=null,this._videoTrack=null,this._audioTrack=null,this._onError=null,this._onMediaInfo=null,this._onMetaDataArrived=null,this._onScriptDataArrived=null,this._onTrackMetadata=null,this._onDataAvailable=null}static probe(e){let n=new Uint8Array(e),i={match:!1};if(n[0]!==70||n[1]!==76||n[2]!==86||n[3]!==1)return i;let t=(n[4]&4)>>>2!==0,r=(n[4]&1)!==0,o=s(n,5);return o<9?i:{match:!0,consumed:o,dataOffset:o,hasAudioTrack:t,hasVideoTrack:r}}bindDataSource(e){return e.onDataArrival=this.parseChunks.bind(this),this}get onTrackMetadata(){return this._onTrackMetadata}set onTrackMetadata(e){this._onTrackMetadata=e}get onMediaInfo(){return this._onMediaInfo}set onMediaInfo(e){this._onMediaInfo=e}get onMetaDataArrived(){return this._onMetaDataArrived}set onMetaDataArrived(e){this._onMetaDataArrived=e}get onScriptDataArrived(){return this._onScriptDataArrived}set onScriptDataArrived(e){this._onScriptDataArrived=e}get onError(){return this._onError}set onError(e){this._onError=e}get onDataAvailable(){return this._onDataAvailable}set onDataAvailable(e){this._onDataAvailable=e}get timestampBase(){return this._timestampBase}set timestampBase(e){this._timestampBase=e}get overridedDuration(){return this._duration}set overridedDuration(e){this._durationOverrided=!0,this._duration=e,this._mediaInfo.duration=e}set overridedHasAudio(e){this._hasAudioFlagOverrided=!0,this._hasAudio=e,this._mediaInfo.hasAudio=e}set overridedHasVideo(e){this._hasVideoFlagOverrided=!0,this._hasVideo=e,this._mediaInfo.hasVideo=e}resetMediaInfo(){this._mediaInfo=new tt}_isInitialMetadataDispatched(){return this._hasAudio&&this._hasVideo?this._audioInitialMetadataDispatched&&this._videoInitialMetadataDispatched:this._hasAudio&&!this._hasVideo?this._audioInitialMetadataDispatched:!this._hasAudio&&this._hasVideo?this._videoInitialMetadataDispatched:!1}parseChunks(e,n){if(!this._onError||!this._onMediaInfo||!this._onTrackMetadata||!this._onDataAvailable)throw new w("Flv: onError & onMediaInfo & onTrackMetadata & onDataAvailable callback must be specified");let i=0,t=this._littleEndian;if(n===0)if(e.byteLength>13)i=u.probe(e).dataOffset;else return 0;for(this._firstParse&&(this._firstParse=!1,n+i!==this._dataOffset&&T.w(this.TAG,"First time parsing but chunk byteStart invalid!"),new DataView(e,i).getUint32(0,!t)!==0&&T.w(this.TAG,"PrevTagSize0 !== 0 !!!"),i+=4);ie.byteLength)break;let o=r.getUint8(0),a=r.getUint32(0,!t)&16777215;if(i+11+a+4>e.byteLength)break;if(o!==8&&o!==9&&o!==18){T.w(this.TAG,`Unsupported tag type ${o}, skipped`),i+=11+a+4;continue}let I=r.getUint8(4),p=r.getUint8(5),M=r.getUint8(6),W=r.getUint8(7),se=M|p<<8|I<<16|W<<24;(r.getUint32(7,!t)&16777215)!==0&&T.w(this.TAG,"Meet tag which has StreamID != 0!");let Se=i+11;switch(o){case 8:this._parseAudioData(e,Se,a,se);break;case 9:this._parseVideoData(e,Se,a,se,n+i);break;case 18:this._parseScriptData(e,Se,a);break}let ae=r.getUint32(11+a,!t);ae!==11+a&&T.w(this.TAG,`Invalid PrevTagSize ${ae}`),i+=11+a+4}return this._isInitialMetadataDispatched()&&this._dispatch&&(this._audioTrack.length||this._videoTrack.length)&&this._onDataAvailable(this._audioTrack,this._videoTrack),i}_parseScriptData(e,n,i){let t=gt.parseScriptData(e,n,i);if(t.hasOwnProperty("onMetaData")){if(t.onMetaData==null||typeof t.onMetaData!="object"){T.w(this.TAG,"Invalid onMetaData structure!");return}this._metadata&&T.w(this.TAG,"Found another onMetaData tag!"),this._metadata=t;let r=this._metadata.onMetaData;if(this._onMetaDataArrived&&this._onMetaDataArrived(Object.assign({},r)),typeof r.hasAudio=="boolean"&&this._hasAudioFlagOverrided===!1&&(this._hasAudio=r.hasAudio,this._mediaInfo.hasAudio=this._hasAudio),typeof r.hasVideo=="boolean"&&this._hasVideoFlagOverrided===!1&&(this._hasVideo=r.hasVideo,this._mediaInfo.hasVideo=this._hasVideo),typeof r.audiodatarate=="number"&&(this._mediaInfo.audioDataRate=r.audiodatarate),typeof r.videodatarate=="number"&&(this._mediaInfo.videoDataRate=r.videodatarate),typeof r.width=="number"&&(this._mediaInfo.width=r.width),typeof r.height=="number"&&(this._mediaInfo.height=r.height),typeof r.duration=="number"){if(!this._durationOverrided){let o=Math.floor(r.duration*this._timescale);this._duration=o,this._mediaInfo.duration=o}}else this._mediaInfo.duration=0;if(typeof r.framerate=="number"){let o=Math.floor(r.framerate*1e3);if(o>0){let a=o/1e3;this._referenceFrameRate.fixed=!0,this._referenceFrameRate.fps=a,this._referenceFrameRate.fps_num=o,this._referenceFrameRate.fps_den=1e3,this._mediaInfo.fps=a}}if(typeof r.keyframes=="object"){this._mediaInfo.hasKeyframesIndex=!0;let o=r.keyframes;this._mediaInfo.keyframesIndex=this._parseKeyframesIndex(o),r.keyframes=null}else this._mediaInfo.hasKeyframesIndex=!1;this._dispatch=!1,this._mediaInfo.metadata=r,T.v(this.TAG,"Parsed onMetaData"),this._mediaInfo.isComplete()&&this._onMediaInfo(this._mediaInfo)}Object.keys(t).length>0&&this._onScriptDataArrived&&this._onScriptDataArrived(Object.assign({},t))}_parseKeyframesIndex(e){let n=[],i=[];for(let t=1;t>>4;if(I!==2&&I!==10){this._onError(S.CODEC_UNSUPPORTED,"Flv: Unsupported audio codec idx: "+I);return}let p=0,M=(a&12)>>>2;if(M>=0&&M<=4)p=this._flvSoundRateTable[M];else{this._onError(S.FORMAT_ERROR,"Flv: Invalid audio sample rate idx: "+M);return}let W=(a&2)>>>1,se=a&1,G=this._audioMetadata,Se=this._audioTrack;if(G||(this._hasAudio===!1&&this._hasAudioFlagOverrided===!1&&(this._hasAudio=!0,this._mediaInfo.hasAudio=!0),G=this._audioMetadata={},G.type="audio",G.id=Se.id,G.timescale=this._timescale,G.duration=this._duration,G.audioSampleRate=p,G.channelCount=se===0?1:2),I===10){let ae=this._parseAACAudioData(e,n+1,i-1);if(ae==null)return;if(ae.packetType===0){G.config&&T.w(this.TAG,"Found another AudioSpecificConfig!");let q=ae.data;G.audioSampleRate=q.samplingRate,G.channelCount=q.channelCount,G.codec=q.codec,G.originalCodec=q.originalCodec,G.config=q.config,G.refSampleDuration=1024/G.audioSampleRate*G.timescale,T.v(this.TAG,"Parsed AudioSpecificConfig"),this._isInitialMetadataDispatched()?this._dispatch&&(this._audioTrack.length||this._videoTrack.length)&&this._onDataAvailable(this._audioTrack,this._videoTrack):this._audioInitialMetadataDispatched=!0,this._dispatch=!1,this._onTrackMetadata("audio",G);let X=this._mediaInfo;X.audioCodec=G.originalCodec,X.audioSampleRate=G.audioSampleRate,X.audioChannelCount=G.channelCount,X.hasVideo?X.videoCodec!=null&&(X.mimeType='video/x-flv; codecs="'+X.videoCodec+","+X.audioCodec+'"'):X.mimeType='video/x-flv; codecs="'+X.audioCodec+'"',X.isComplete()&&this._onMediaInfo(X)}else if(ae.packetType===1){let q=this._timestampBase+t,X={unit:ae.data,length:ae.data.byteLength,dts:q,pts:q};Se.samples.push(X),Se.length+=ae.data.length}else T.e(this.TAG,`Flv: Unsupported AAC data type ${ae.packetType}`)}else if(I===2){if(!G.codec){let Ee=this._parseMP3AudioData(e,n+1,i-1,!0);if(Ee==null)return;G.audioSampleRate=Ee.samplingRate,G.channelCount=Ee.channelCount,G.codec=Ee.codec,G.originalCodec=Ee.originalCodec,G.refSampleDuration=1152/G.audioSampleRate*G.timescale,T.v(this.TAG,"Parsed MPEG Audio Frame Header"),this._audioInitialMetadataDispatched=!0,this._onTrackMetadata("audio",G);let ge=this._mediaInfo;ge.audioCodec=G.codec,ge.audioSampleRate=G.audioSampleRate,ge.audioChannelCount=G.channelCount,ge.audioDataRate=Ee.bitRate,ge.hasVideo?ge.videoCodec!=null&&(ge.mimeType='video/x-flv; codecs="'+ge.videoCodec+","+ge.audioCodec+'"'):ge.mimeType='video/x-flv; codecs="'+ge.audioCodec+'"',ge.isComplete()&&this._onMediaInfo(ge)}let ae=this._parseMP3AudioData(e,n+1,i-1,!1);if(ae==null)return;let q=this._timestampBase+t,X={unit:ae,length:ae.byteLength,dts:q,pts:q};Se.samples.push(X),Se.length+=ae.length}}_parseAACAudioData(e,n,i){if(i<=1){T.w(this.TAG,"Flv: Invalid AAC packet, missing AACPacketType or/and Data!");return}let t={},r=new Uint8Array(e,n,i);return t.packetType=r[0],r[0]===0?t.data=this._parseAACAudioSpecificConfig(e,n+1,i-1):t.data=r.subarray(1),t}_parseAACAudioSpecificConfig(e,n,i){let t=new Uint8Array(e,n,i),r=null,o=0,a=0,I=null,p=0,M=null;if(o=a=t[0]>>>3,p=(t[0]&7)<<1|t[1]>>>7,p<0||p>=this._mpegSamplingRates.length){this._onError(S.FORMAT_ERROR,"Flv: AAC invalid sampling frequency index!");return}let W=this._mpegSamplingRates[p],se=(t[1]&120)>>>3;if(se<0||se>=8){this._onError(S.FORMAT_ERROR,"Flv: AAC invalid channel configuration");return}o===5&&(M=(t[1]&7)<<1|t[2]>>>7,I=(t[2]&124)>>>2);let G=self.navigator.userAgent.toLowerCase();return G.indexOf("firefox")!==-1?p>=6?(o=5,r=new Array(4),M=p-3):(o=2,r=new Array(2),M=p):G.indexOf("android")!==-1?(o=2,r=new Array(2),M=p):(o=5,M=p,r=new Array(4),p>=6?M=p-3:se===1&&(o=2,r=new Array(2),M=p)),r[0]=o<<3,r[0]|=(p&15)>>>1,r[1]=(p&15)<<7,r[1]|=(se&15)<<3,o===5&&(r[1]|=(M&15)>>>1,r[2]=(M&1)<<7,r[2]|=8,r[3]=0),{config:r,samplingRate:W,channelCount:se,codec:"mp4a.40."+o,originalCodec:"mp4a.40."+a}}_parseMP3AudioData(e,n,i,t){if(i<4){T.w(this.TAG,"Flv: Invalid MP3 packet, header missing!");return}let r=this._littleEndian,o=new Uint8Array(e,n,i),a=null;if(t){if(o[0]!==255)return;let I=o[1]>>>3&3,p=(o[1]&6)>>1,M=(o[2]&240)>>>4,W=(o[2]&12)>>>2,G=(o[3]>>>6&3)!==3?2:1,Se=0,ae=0,q=34,X="mp3";switch(I){case 0:Se=this._mpegAudioV25SampleRateTable[W];break;case 2:Se=this._mpegAudioV20SampleRateTable[W];break;case 3:Se=this._mpegAudioV10SampleRateTable[W];break}switch(p){case 1:q=34,M>>4,I=o&15;if(I!==7){this._onError(S.CODEC_UNSUPPORTED,`Flv: Unsupported codec in video frame: ${I}`);return}this._parseAVCVideoPacket(e,n+1,i-1,t,r,a)}_parseAVCVideoPacket(e,n,i,t,r,o){if(i<4){T.w(this.TAG,"Flv: Invalid AVC packet, missing AVCPacketType or/and CompositionTime");return}let a=this._littleEndian,I=new DataView(e,n,i),p=I.getUint8(0),W=(I.getUint32(0,!a)&16777215)<<8>>8;if(p===0)this._parseAVCDecoderConfigurationRecord(e,n+4,i-4);else if(p===1)this._parseAVCVideoData(e,n+4,i-4,t,r,o,W);else if(p!==2){this._onError(S.FORMAT_ERROR,`Flv: Invalid video packet type ${p}`);return}}_parseAVCDecoderConfigurationRecord(e,n,i){if(i<7){T.w(this.TAG,"Flv: Invalid AVCDecoderConfigurationRecord, lack of data!");return}let t=this._videoMetadata,r=this._videoTrack,o=this._littleEndian,a=new DataView(e,n,i);t?typeof t.avcc!="undefined"&&T.w(this.TAG,"Found another AVCDecoderConfigurationRecord!"):(this._hasVideo===!1&&this._hasVideoFlagOverrided===!1&&(this._hasVideo=!0,this._mediaInfo.hasVideo=!0),t=this._videoMetadata={},t.type="video",t.id=r.id,t.timescale=this._timescale,t.duration=this._duration);let I=a.getUint8(0),p=a.getUint8(1),M=a.getUint8(2),W=a.getUint8(3);if(I!==1||p===0){this._onError(S.FORMAT_ERROR,"Flv: Invalid AVCDecoderConfigurationRecord");return}if(this._naluLengthSize=(a.getUint8(4)&3)+1,this._naluLengthSize!==3&&this._naluLengthSize!==4){this._onError(S.FORMAT_ERROR,`Flv: Strange NaluLengthSizeMinusOne: ${this._naluLengthSize-1}`);return}let se=a.getUint8(5)&31;if(se===0){this._onError(S.FORMAT_ERROR,"Flv: Invalid AVCDecoderConfigurationRecord: No SPS");return}else se>1&&T.w(this.TAG,`Flv: Strange AVCDecoderConfigurationRecord: SPS Count = ${se}`);let G=6;for(let ae=0;ae1&&T.w(this.TAG,`Flv: Strange AVCDecoderConfigurationRecord: PPS Count = ${Se}`);G++;for(let ae=0;ae=i){T.w(this.TAG,`Malformed Nalu near timestamp ${Se}, offset = ${se}, dataSize = ${i}`);break}let q=p.getUint32(se,!I);if(G===3&&(q>>>=8),q>i-G){T.w(this.TAG,`Malformed Nalus near timestamp ${Se}, NaluSize > DataSize!`);return}let X=p.getUint8(se+G)&31;X===5&&(ae=!0);let Ee=new Uint8Array(e,n+se,G+q),ge={type:X,data:Ee};M.push(ge),W+=Ee.byteLength,se+=G+q}if(M.length){let q=this._videoTrack,X={units:M,length:W,isKeyframe:ae,dts:Se,cts:a,pts:Se+a};ae&&(X.fileposition=r),q.samples.push(X),q.length+=W}}}var P=u;class d{static init(){d.types={avc1:[],avcC:[],btrt:[],dinf:[],dref:[],esds:[],ftyp:[],hdlr:[],mdat:[],mdhd:[],mdia:[],mfhd:[],minf:[],moof:[],moov:[],mp4a:[],mvex:[],mvhd:[],sdtp:[],stbl:[],stco:[],stsc:[],stsd:[],stsz:[],stts:[],tfdt:[],tfhd:[],traf:[],trak:[],trun:[],trex:[],tkhd:[],vmhd:[],smhd:[],".mp3":[]};for(let n in d.types)d.types.hasOwnProperty(n)&&(d.types[n]=[n.charCodeAt(0),n.charCodeAt(1),n.charCodeAt(2),n.charCodeAt(3)]);let e=d.constants={};e.FTYP=new Uint8Array([105,115,111,109,0,0,0,1,105,115,111,109,97,118,99,49]),e.STSD_PREFIX=new Uint8Array([0,0,0,0,0,0,0,1]),e.STTS=new Uint8Array([0,0,0,0,0,0,0,0]),e.STSC=e.STCO=e.STTS,e.STSZ=new Uint8Array([0,0,0,0,0,0,0,0,0,0,0,0]),e.HDLR_VIDEO=new Uint8Array([0,0,0,0,0,0,0,0,118,105,100,101,0,0,0,0,0,0,0,0,0,0,0,0,86,105,100,101,111,72,97,110,100,108,101,114,0]),e.HDLR_AUDIO=new Uint8Array([0,0,0,0,0,0,0,0,115,111,117,110,0,0,0,0,0,0,0,0,0,0,0,0,83,111,117,110,100,72,97,110,100,108,101,114,0]),e.DREF=new Uint8Array([0,0,0,0,0,0,0,1,0,0,0,12,117,114,108,32,0,0,0,1]),e.SMHD=new Uint8Array([0,0,0,0,0,0,0,0]),e.VMHD=new Uint8Array([0,0,0,1,0,0,0,0,0,0,0,0])}static box(e){let n=8,i=null,t=Array.prototype.slice.call(arguments,1),r=t.length;for(let a=0;a>>24&255,i[1]=n>>>16&255,i[2]=n>>>8&255,i[3]=n&255,i.set(e,4);let o=8;for(let a=0;a>>24&255,e>>>16&255,e>>>8&255,e&255,n>>>24&255,n>>>16&255,n>>>8&255,n&255,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,64,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,255,255,255,255]))}static trak(e){return d.box(d.types.trak,d.tkhd(e),d.mdia(e))}static tkhd(e){let n=e.id,i=e.duration,t=e.presentWidth,r=e.presentHeight;return d.box(d.types.tkhd,new Uint8Array([0,0,0,7,0,0,0,0,0,0,0,0,n>>>24&255,n>>>16&255,n>>>8&255,n&255,0,0,0,0,i>>>24&255,i>>>16&255,i>>>8&255,i&255,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,64,0,0,0,t>>>8&255,t&255,0,0,r>>>8&255,r&255,0,0]))}static mdia(e){return d.box(d.types.mdia,d.mdhd(e),d.hdlr(e),d.minf(e))}static mdhd(e){let n=e.timescale,i=e.duration;return d.box(d.types.mdhd,new Uint8Array([0,0,0,0,0,0,0,0,0,0,0,0,n>>>24&255,n>>>16&255,n>>>8&255,n&255,i>>>24&255,i>>>16&255,i>>>8&255,i&255,85,196,0,0]))}static hdlr(e){let n=null;return e.type==="audio"?n=d.constants.HDLR_AUDIO:n=d.constants.HDLR_VIDEO,d.box(d.types.hdlr,n)}static minf(e){let n=null;return e.type==="audio"?n=d.box(d.types.smhd,d.constants.SMHD):n=d.box(d.types.vmhd,d.constants.VMHD),d.box(d.types.minf,n,d.dinf(),d.stbl(e))}static dinf(){return d.box(d.types.dinf,d.box(d.types.dref,d.constants.DREF))}static stbl(e){return d.box(d.types.stbl,d.stsd(e),d.box(d.types.stts,d.constants.STTS),d.box(d.types.stsc,d.constants.STSC),d.box(d.types.stsz,d.constants.STSZ),d.box(d.types.stco,d.constants.STCO))}static stsd(e){return e.type==="audio"?e.codec==="mp3"?d.box(d.types.stsd,d.constants.STSD_PREFIX,d.mp3(e)):d.box(d.types.stsd,d.constants.STSD_PREFIX,d.mp4a(e)):d.box(d.types.stsd,d.constants.STSD_PREFIX,d.avc1(e))}static mp3(e){let n=e.channelCount,i=e.audioSampleRate,t=new Uint8Array([0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,n,0,16,0,0,0,0,i>>>8&255,i&255,0,0]);return d.box(d.types[".mp3"],t)}static mp4a(e){let n=e.channelCount,i=e.audioSampleRate,t=new Uint8Array([0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,n,0,16,0,0,0,0,i>>>8&255,i&255,0,0]);return d.box(d.types.mp4a,t,d.esds(e))}static esds(e){let n=e.config||[],i=n.length,t=new Uint8Array([0,0,0,0,3,23+i,0,1,0,4,15+i,64,21,0,0,0,0,0,0,0,0,0,0,0,5].concat([i]).concat(n).concat([6,1,2]));return d.box(d.types.esds,t)}static avc1(e){let n=e.avcc,i=e.codecWidth,t=e.codecHeight,r=new Uint8Array([0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,i>>>8&255,i&255,t>>>8&255,t&255,0,72,0,0,0,72,0,0,0,0,0,0,0,1,10,120,113,113,47,102,108,118,46,106,115,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,24,255,255]);return d.box(d.types.avc1,r,d.box(d.types.avcC,n))}static mvex(e){return d.box(d.types.mvex,d.trex(e))}static trex(e){let n=e.id,i=new Uint8Array([0,0,0,0,n>>>24&255,n>>>16&255,n>>>8&255,n&255,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,1]);return d.box(d.types.trex,i)}static moof(e,n){return d.box(d.types.moof,d.mfhd(e.sequenceNumber),d.traf(e,n))}static mfhd(e){let n=new Uint8Array([0,0,0,0,e>>>24&255,e>>>16&255,e>>>8&255,e&255]);return d.box(d.types.mfhd,n)}static traf(e,n){let i=e.id,t=d.box(d.types.tfhd,new Uint8Array([0,0,0,0,i>>>24&255,i>>>16&255,i>>>8&255,i&255])),r=d.box(d.types.tfdt,new Uint8Array([0,0,0,0,n>>>24&255,n>>>16&255,n>>>8&255,n&255])),o=d.sdtp(e),a=d.trun(e,o.byteLength+16+16+8+16+8+8);return d.box(d.types.traf,t,r,a,o)}static sdtp(e){let n=e.samples||[],i=n.length,t=new Uint8Array(4+i);for(let r=0;r>>24&255,t>>>16&255,t>>>8&255,t&255,n>>>24&255,n>>>16&255,n>>>8&255,n&255],0);for(let a=0;a>>24&255,I>>>16&255,I>>>8&255,I&255,p>>>24&255,p>>>16&255,p>>>8&255,p&255,M.isLeading<<2|M.dependsOn,M.isDependedOn<<6|M.hasRedundancy<<4|M.isNonSync,0,0,W>>>24&255,W>>>16&255,W>>>8&255,W&255],12+16*a)}return d.box(d.types.trun,o)}static mdat(e){return d.box(d.types.mdat,e)}}d.init();var m=d;class B{static getSilentFrame(e,n){if(e==="mp4a.40.2"){if(n===1)return new Uint8Array([0,200,0,128,35,128]);if(n===2)return new Uint8Array([33,0,73,144,2,25,0,35,128]);if(n===3)return new Uint8Array([0,200,0,128,32,132,1,38,64,8,100,0,142]);if(n===4)return new Uint8Array([0,200,0,128,32,132,1,38,64,8,100,0,128,44,128,8,2,56]);if(n===5)return new Uint8Array([0,200,0,128,32,132,1,38,64,8,100,0,130,48,4,153,0,33,144,2,56]);if(n===6)return new Uint8Array([0,200,0,128,32,132,1,38,64,8,100,0,130,48,4,153,0,33,144,2,0,178,0,32,8,224])}else{if(n===1)return new Uint8Array([1,64,34,128,163,78,230,128,186,8,0,0,0,28,6,241,193,10,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,94]);if(n===2)return new Uint8Array([1,64,34,128,163,94,230,128,186,8,0,0,0,0,149,0,6,241,161,10,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,94]);if(n===3)return new Uint8Array([1,64,34,128,163,94,230,128,186,8,0,0,0,0,149,0,6,241,161,10,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,94])}return null}}var oe=B;class Q{constructor(e,n,i,t,r){this.dts=e,this.pts=n,this.duration=i,this.originalDts=t,this.isSyncPoint=r,this.fileposition=null}}class Ie{constructor(){this.beginDts=0,this.endDts=0,this.beginPts=0,this.endPts=0,this.originalBeginDts=0,this.originalEndDts=0,this.syncPoints=[],this.firstSample=null,this.lastSample=null}appendSyncPoint(e){e.isSyncPoint=!0,this.syncPoints.push(e)}}class ne{constructor(){this._list=[]}clear(){this._list=[]}appendArray(e){let n=this._list;e.length!==0&&(n.length>0&&e[0].originalDts=n[r].dts&&en[t].lastSample.originalDts&&e=n[t].lastSample.originalDts&&(t===n.length-1||t0&&(r=this._searchNearestSegmentBefore(i.originalBeginDts)+1),this._lastAppendLocation=r,this._list.splice(r,0,i)}getLastSegmentBefore(e){let n=this._searchNearestSegmentBefore(e);return n>=0?this._list[n]:null}getLastSampleBefore(e){let n=this.getLastSegmentBefore(e);return n!=null?n.lastSample:null}getLastSyncPointBefore(e){let n=this._searchNearestSegmentBefore(e),i=this._list[n].syncPoints;for(;i.length===0&&n>0;)n--,i=this._list[n].syncPoints;return i.length>0?i[i.length-1]:null}}class be{constructor(e){this.TAG="MP4Remuxer",this._config=e,this._isLive=e.isLive===!0,this._dtsBase=-1,this._dtsBaseInited=!1,this._audioDtsBase=1/0,this._videoDtsBase=1/0,this._audioNextDts=void 0,this._videoNextDts=void 0,this._audioStashedLastSample=null,this._videoStashedLastSample=null,this._audioMeta=null,this._videoMeta=null,this._audioSegmentInfoList=new le("audio"),this._videoSegmentInfoList=new le("video"),this._onInitSegment=null,this._onMediaSegment=null,this._forceFirstIDR=!!(K.chrome&&(K.version.major<50||K.version.major===50&&K.version.build<2661)),this._fillSilentAfterSeek=K.msedge||K.msie,this._mp3UseMpegAudio=!K.firefox,this._fillAudioTimestampGap=this._config.fixAudioTimestampGap}destroy(){this._dtsBase=-1,this._dtsBaseInited=!1,this._audioMeta=null,this._videoMeta=null,this._audioSegmentInfoList.clear(),this._audioSegmentInfoList=null,this._videoSegmentInfoList.clear(),this._videoSegmentInfoList=null,this._onInitSegment=null,this._onMediaSegment=null}bindDataSource(e){return e.onDataAvailable=this.remux.bind(this),e.onTrackMetadata=this._onTrackMetadataReceived.bind(this),this}get onInitSegment(){return this._onInitSegment}set onInitSegment(e){this._onInitSegment=e}get onMediaSegment(){return this._onMediaSegment}set onMediaSegment(e){this._onMediaSegment=e}insertDiscontinuity(){this._audioNextDts=this._videoNextDts=void 0}seek(e){this._audioStashedLastSample=null,this._videoStashedLastSample=null,this._videoSegmentInfoList.clear(),this._audioSegmentInfoList.clear()}remux(e,n){if(!this._onMediaSegment)throw new w("MP4Remuxer: onMediaSegment callback must be specificed!");this._dtsBaseInited||this._calculateDtsBase(e,n),this._remuxVideo(n),this._remuxAudio(e)}_onTrackMetadataReceived(e,n){let i=null,t="mp4",r=n.codec;if(e==="audio")this._audioMeta=n,n.codec==="mp3"&&this._mp3UseMpegAudio?(t="mpeg",r="",i=new Uint8Array):i=m.generateInitSegment(n);else if(e==="video")this._videoMeta=n,i=m.generateInitSegment(n);else return;if(!this._onInitSegment)throw new w("MP4Remuxer: onInitSegment callback must be specified!");this._onInitSegment(e,{type:e,data:i.buffer,codec:r,container:`${e}/${t}`,mediaDuration:n.duration})}_calculateDtsBase(e,n){this._dtsBaseInited||(e.samples&&e.samples.length&&(this._audioDtsBase=e.samples[0].dts),n.samples&&n.samples.length&&(this._videoDtsBase=n.samples[0].dts),this._dtsBase=Math.min(this._audioDtsBase,this._videoDtsBase),this._dtsBaseInited=!0)}flushStashedSamples(){let e=this._videoStashedLastSample,n=this._audioStashedLastSample,i={type:"video",id:1,sequenceNumber:0,samples:[],length:0};e!=null&&(i.samples.push(e),i.length=e.length);let t={type:"audio",id:2,sequenceNumber:0,samples:[],length:0};n!=null&&(t.samples.push(n),t.length=n.length),this._videoStashedLastSample=null,this._audioStashedLastSample=null,this._remuxVideo(i,!0),this._remuxAudio(t,!0)}_remuxAudio(e,n){if(this._audioMeta==null)return;let i=e,t=i.samples,r,o=-1,a=-1,I=-1,p=this._audioMeta.refSampleDuration,M=this._audioMeta.codec==="mp3"&&this._mp3UseMpegAudio,W=this._dtsBaseInited&&this._audioNextDts===void 0,se=!1;if(!t||t.length===0||t.length===1&&!n)return;let G=0,Se=null,ae=0;M?(G=0,ae=i.length):(G=8,ae=8+i.length);let q=null;if(t.length>1&&(q=t.pop(),ae-=q.length),this._audioStashedLastSample!=null){let we=this._audioStashedLastSample;this._audioStashedLastSample=null,t.unshift(we),ae+=we.length}q!=null&&(this._audioStashedLastSample=q);let X=t[0].dts-this._dtsBase;if(this._audioNextDts)r=X-this._audioNextDts;else if(this._audioSegmentInfoList.isEmpty())r=0,this._fillSilentAfterSeek&&!this._videoSegmentInfoList.isEmpty()&&this._audioMeta.originalCodec!=="mp3"&&(se=!0);else{let we=this._audioSegmentInfoList.getLastSampleBefore(X);if(we!=null){let Me=X-(we.originalDts+we.duration);Me<=3&&(Me=0);let _=we.dts+we.duration+Me;r=X-_}else r=0}if(se){let we=X-r,Me=this._videoSegmentInfoList.getLastSegmentBefore(X);if(Me!=null&&Me.beginDts=1?Y=Ee[Ee.length-1].duration:Y=Math.floor(p);let V=!1,ye=null;if(Y>p*1.5&&this._audioMeta.codec!=="mp3"&&this._fillAudioTimestampGap&&!K.safari){V=!0;let he=Math.abs(Y-p),Ae=Math.ceil(he/p),Ue=j+p;T.w(this.TAG,`Large audio timestamp gap detected, may cause AV sync to drift. Silent frames will be generated to avoid unsync. dts: ${j+Y} ms, expected: ${j+Math.round(p)} ms, delta: ${Math.round(he)} ms, generate: ${Ae} frames`);let Ge=oe.getSilentFrame(this._audioMeta.originalCodec,this._audioMeta.channelCount);Ge==null&&(T.w(this.TAG,`Unable to generate silent frame for ${this._audioMeta.originalCodec} with ${this._audioMeta.channelCount} channels, repeat last frame`),Ge=_),ye=[];for(let Ye=0;Ye0){let Je=ye[ye.length-1];Je.duration=yt-Je.dts}let st={dts:yt,pts:yt,cts:0,unit:Ge,size:Ge.byteLength,duration:0,originalDts:L,flags:{isLeading:0,dependsOn:1,isDependedOn:0,hasRedundancy:0}};ye.push(st),ae+=st.size,Ue+=p}let $e=ye[ye.length-1];$e.duration=j+Y-$e.dts,Y=Math.round(p)}Ee.push({dts:j,pts:j,cts:0,unit:Me.unit,size:Me.unit.byteLength,duration:Y,originalDts:L,flags:{isLeading:0,dependsOn:1,isDependedOn:0,hasRedundancy:0}}),V&&Ee.push.apply(Ee,ye)}M?Se=new Uint8Array(ae):(Se=new Uint8Array(ae),Se[0]=ae>>>24&255,Se[1]=ae>>>16&255,Se[2]=ae>>>8&255,Se[3]=ae&255,Se.set(m.types.mdat,4));for(let we=0;we1&&(G=t.pop(),se-=G.length),this._videoStashedLastSample!=null){let ge=this._videoStashedLastSample;this._videoStashedLastSample=null,t.unshift(ge),se+=ge.length}G!=null&&(this._videoStashedLastSample=G);let Se=t[0].dts-this._dtsBase;if(this._videoNextDts)r=Se-this._videoNextDts;else if(this._videoSegmentInfoList.isEmpty())r=0;else{let ge=this._videoSegmentInfoList.getLastSampleBefore(Se);if(ge!=null){let Ne=Se-(ge.originalDts+ge.duration);Ne<=3&&(Ne=0);let it=ge.dts+ge.duration+Ne;r=Se-it}else r=0}let ae=new Ie,q=[];for(let ge=0;ge=1?L=q[q.length-1].duration:L=Math.floor(this._videoMeta.refSampleDuration),et){let j=new Q(we,_,L,Ne.dts,!0);j.fileposition=Ne.fileposition,ae.appendSyncPoint(j)}q.push({dts:we,pts:_,cts:Me,units:Ne.units,size:Ne.length,isKeyframe:et,duration:L,originalDts:it,flags:{isLeading:0,dependsOn:et?2:1,isDependedOn:et?1:0,hasRedundancy:0,isNonSync:et?0:1}})}W=new Uint8Array(se),W[0]=se>>>24&255,W[1]=se>>>16&255,W[2]=se>>>8&255,W[3]=se&255,W.set(m.types.mdat,4);for(let ge=0;ge{t.timestampBase=i,i+=t.duration,t.cors=e.cors,t.withCredentials=e.withCredentials,n.referrerPolicy&&(t.referrerPolicy=n.referrerPolicy)}),!isNaN(i)&&this._mediaDataSource.duration!==i&&(this._mediaDataSource.duration=i),this._mediaInfo=null,this._demuxer=null,this._remuxer=null,this._ioctl=null,this._pendingSeekTime=null,this._pendingResolveSeekPoint=null,this._statisticsReporter=null}destroy(){this._mediaInfo=null,this._mediaDataSource=null,this._statisticsReporter&&this._disableStatisticsReporter(),this._ioctl&&(this._ioctl.destroy(),this._ioctl=null),this._demuxer&&(this._demuxer.destroy(),this._demuxer=null),this._remuxer&&(this._remuxer.destroy(),this._remuxer=null),this._emitter.removeAllListeners(),this._emitter=null}on(e,n){this._emitter.addListener(e,n)}off(e,n){this._emitter.removeListener(e,n)}start(){this._loadSegment(0),this._enableStatisticsReporter()}_loadSegment(e,n){this._currentSegmentIndex=e;let i=this._mediaDataSource.segments[e],t=this._ioctl=new De(i,this._config,e);t.onError=this._onIOException.bind(this),t.onSeeked=this._onIOSeeked.bind(this),t.onComplete=this._onIOComplete.bind(this),t.onRedirect=this._onIORedirect.bind(this),t.onRecoveredEarlyEof=this._onIORecoveredEarlyEof.bind(this),n?this._demuxer.bindDataSource(this._ioctl):t.onDataArrival=this._onInitChunkArrival.bind(this),t.open(n)}stop(){this._internalAbort(),this._disableStatisticsReporter()}_internalAbort(){this._ioctl&&(this._ioctl.destroy(),this._ioctl=null)}pause(){this._ioctl&&this._ioctl.isWorking()&&(this._ioctl.pause(),this._disableStatisticsReporter())}resume(){this._ioctl&&this._ioctl.isPaused()&&(this._ioctl.resume(),this._enableStatisticsReporter())}seek(e){if(this._mediaInfo==null||!this._mediaInfo.isSeekable())return;let n=this._searchSegmentIndexContains(e);if(n===this._currentSegmentIndex){let i=this._mediaInfo.segments[n];if(i==null)this._pendingSeekTime=e;else{let t=i.getNearestKeyframe(e);this._remuxer.seek(t.milliseconds),this._ioctl.seek(t.fileposition),this._pendingResolveSeekPoint=t.milliseconds}}else{let i=this._mediaInfo.segments[n];if(i==null)this._pendingSeekTime=e,this._internalAbort(),this._remuxer.seek(),this._remuxer.insertDiscontinuity(),this._loadSegment(n);else{let t=i.getNearestKeyframe(e);this._internalAbort(),this._remuxer.seek(e),this._remuxer.insertDiscontinuity(),this._demuxer.resetMediaInfo(),this._demuxer.timestampBase=this._mediaDataSource.segments[n].timestampBase,this._loadSegment(n,t.fileposition),this._pendingResolveSeekPoint=t.milliseconds,this._reportSegmentMediaInfo(n)}}this._enableStatisticsReporter()}_searchSegmentIndexContains(e){let n=this._mediaDataSource.segments,i=n.length-1;for(let t=0;t0)this._demuxer.bindDataSource(this._ioctl),this._demuxer.timestampBase=this._mediaDataSource.segments[this._currentSegmentIndex].timestampBase,t=this._demuxer.parseChunks(e,n);else if((i=P.probe(e)).match){this._demuxer=new P(i,this._config),this._remuxer||(this._remuxer=new Xe(this._config));let r=this._mediaDataSource;r.duration!=null&&!isNaN(r.duration)&&(this._demuxer.overridedDuration=r.duration),typeof r.hasAudio=="boolean"&&(this._demuxer.overridedHasAudio=r.hasAudio),typeof r.hasVideo=="boolean"&&(this._demuxer.overridedHasVideo=r.hasVideo),this._demuxer.timestampBase=r.segments[this._currentSegmentIndex].timestampBase,this._demuxer.onError=this._onDemuxException.bind(this),this._demuxer.onMediaInfo=this._onMediaInfo.bind(this),this._demuxer.onMetaDataArrived=this._onMetaDataArrived.bind(this),this._demuxer.onScriptDataArrived=this._onScriptDataArrived.bind(this),this._remuxer.bindDataSource(this._demuxer.bindDataSource(this._ioctl)),this._remuxer.onInitSegment=this._onRemuxerInitSegmentArrival.bind(this),this._remuxer.onMediaSegment=this._onRemuxerMediaSegmentArrival.bind(this),t=this._demuxer.parseChunks(e,n)}else i=null,T.e(this.TAG,"Non-FLV, Unsupported media type!"),Promise.resolve().then(()=>{this._internalAbort()}),this._emitter.emit(te.DEMUX_ERROR,S.FORMAT_UNSUPPORTED,"Non-FLV, Unsupported media type"),t=0;return t}_onMediaInfo(e){this._mediaInfo==null&&(this._mediaInfo=Object.assign({},e),this._mediaInfo.keyframesIndex=null,this._mediaInfo.segments=[],this._mediaInfo.segmentCount=this._mediaDataSource.segments.length,Object.setPrototypeOf(this._mediaInfo,tt.prototype));let n=Object.assign({},e);Object.setPrototypeOf(n,tt.prototype),this._mediaInfo.segments[this._currentSegmentIndex]=n,this._reportSegmentMediaInfo(this._currentSegmentIndex),this._pendingSeekTime!=null&&Promise.resolve().then(()=>{let i=this._pendingSeekTime;this._pendingSeekTime=null,this.seek(i)})}_onMetaDataArrived(e){this._emitter.emit(te.METADATA_ARRIVED,e)}_onScriptDataArrived(e){this._emitter.emit(te.SCRIPTDATA_ARRIVED,e)}_onIOSeeked(){this._remuxer.insertDiscontinuity()}_onIOComplete(e){let i=e+1;i0&&i[0].originalDts===t&&(t=i[0].pts),this._emitter.emit(te.RECOMMEND_SEEKPOINT,t)}}_enableStatisticsReporter(){this._statisticsReporter==null&&(this._statisticsReporter=self.setInterval(this._reportStatisticsInfo.bind(this),this._config.statisticsInfoReportInterval))}_disableStatisticsReporter(){this._statisticsReporter&&(self.clearInterval(this._statisticsReporter),this._statisticsReporter=null)}_reportSegmentMediaInfo(e){let n=this._mediaInfo.segments[e],i=Object.assign({},n);i.duration=this._mediaInfo.duration,i.segmentCount=this._mediaInfo.segmentCount,delete i.segments,delete i.keyframesIndex,this._emitter.emit(te.MEDIA_INFO,i)}_reportStatisticsInfo(){let e={};e.url=this._ioctl.currentURL,e.hasRedirect=this._ioctl.hasRedirect,e.hasRedirect&&(e.redirectedURL=this._ioctl.currentRedirectedURL),e.speed=this._ioctl.currentSpeed,e.loaderType=this._ioctl.loaderType,e.currentSegmentIndex=this._currentSegmentIndex,e.totalSegmentCount=this._mediaDataSource.segments.length,this._emitter.emit(te.STATISTICS_INFO,e)}}var ot=nt,ut=function(_e){let e="TransmuxingWorker",n=null,i=ae.bind(this);g.install(),_e.addEventListener("message",function(q){switch(q.data.cmd){case"init":n=new ot(q.data.param[0],q.data.param[1]),n.on(te.IO_ERROR,se.bind(this)),n.on(te.DEMUX_ERROR,G.bind(this)),n.on(te.INIT_SEGMENT,t.bind(this)),n.on(te.MEDIA_SEGMENT,r.bind(this)),n.on(te.LOADING_COMPLETE,o.bind(this)),n.on(te.RECOVERED_EARLY_EOF,a.bind(this)),n.on(te.MEDIA_INFO,I.bind(this)),n.on(te.METADATA_ARRIVED,p.bind(this)),n.on(te.SCRIPTDATA_ARRIVED,M.bind(this)),n.on(te.STATISTICS_INFO,W.bind(this)),n.on(te.RECOMMEND_SEEKPOINT,Se.bind(this));break;case"destroy":n&&(n.destroy(),n=null),_e.postMessage({msg:"destroyed"});break;case"start":n.start();break;case"stop":n.stop();break;case"seek":n.seek(q.data.param);break;case"pause":n.pause();break;case"resume":n.resume();break;case"logging_config":{let X=q.data.param;me.applyConfig(X),X.enableCallback===!0?me.addLogListener(i):me.removeLogListener(i);break}}});function t(q,X){let Ee={msg:te.INIT_SEGMENT,data:{type:q,data:X}};_e.postMessage(Ee,[X.data])}function r(q,X){let Ee={msg:te.MEDIA_SEGMENT,data:{type:q,data:X}};_e.postMessage(Ee,[X.data])}function o(){let q={msg:te.LOADING_COMPLETE};_e.postMessage(q)}function a(){let q={msg:te.RECOVERED_EARLY_EOF};_e.postMessage(q)}function I(q){let X={msg:te.MEDIA_INFO,data:q};_e.postMessage(X)}function p(q){let X={msg:te.METADATA_ARRIVED,data:q};_e.postMessage(X)}function M(q){let X={msg:te.SCRIPTDATA_ARRIVED,data:q};_e.postMessage(X)}function W(q){let X={msg:te.STATISTICS_INFO,data:q};_e.postMessage(X)}function se(q,X){_e.postMessage({msg:te.IO_ERROR,data:{type:q,info:X}})}function G(q,X){_e.postMessage({msg:te.DEMUX_ERROR,data:{type:q,info:X}})}function Se(q){_e.postMessage({msg:te.RECOMMEND_SEEKPOINT,data:q})}function ae(q,X){_e.postMessage({msg:"logcat_callback",data:{type:q,logcat:X}})}};class Tt{constructor(e,n){if(this.TAG="Transmuxer",this._emitter=new(z()),n.enableWorker&&typeof Worker!="undefined")try{let i=l(82059);this._worker=i(ut),this._workerDestroying=!1,this._worker.addEventListener("message",this._onWorkerMessage.bind(this)),this._worker.postMessage({cmd:"init",param:[e,n]}),this.e={onLoggingConfigChanged:this._onLoggingConfigChanged.bind(this)},me.registerListener(this.e.onLoggingConfigChanged),this._worker.postMessage({cmd:"logging_config",param:me.getConfig()})}catch(i){T.e(this.TAG,"Error while initialize transmuxing worker, fallback to inline transmuxing"),this._worker=null,this._controller=new ot(e,n)}else this._controller=new ot(e,n);if(this._controller){let i=this._controller;i.on(te.IO_ERROR,this._onIOError.bind(this)),i.on(te.DEMUX_ERROR,this._onDemuxError.bind(this)),i.on(te.INIT_SEGMENT,this._onInitSegment.bind(this)),i.on(te.MEDIA_SEGMENT,this._onMediaSegment.bind(this)),i.on(te.LOADING_COMPLETE,this._onLoadingComplete.bind(this)),i.on(te.RECOVERED_EARLY_EOF,this._onRecoveredEarlyEof.bind(this)),i.on(te.MEDIA_INFO,this._onMediaInfo.bind(this)),i.on(te.METADATA_ARRIVED,this._onMetaDataArrived.bind(this)),i.on(te.SCRIPTDATA_ARRIVED,this._onScriptDataArrived.bind(this)),i.on(te.STATISTICS_INFO,this._onStatisticsInfo.bind(this)),i.on(te.RECOMMEND_SEEKPOINT,this._onRecommendSeekpoint.bind(this))}}destroy(){this._worker?this._workerDestroying||(this._workerDestroying=!0,this._worker.postMessage({cmd:"destroy"}),me.removeListener(this.e.onLoggingConfigChanged),this.e=null):(this._controller.destroy(),this._controller=null),this._emitter.removeAllListeners(),this._emitter=null}on(e,n){this._emitter.addListener(e,n)}off(e,n){this._emitter.removeListener(e,n)}hasWorker(){return this._worker!=null}open(){this._worker?this._worker.postMessage({cmd:"start"}):this._controller.start()}close(){this._worker?this._worker.postMessage({cmd:"stop"}):this._controller.stop()}seek(e){this._worker?this._worker.postMessage({cmd:"seek",param:e}):this._controller.seek(e)}pause(){this._worker?this._worker.postMessage({cmd:"pause"}):this._controller.pause()}resume(){this._worker?this._worker.postMessage({cmd:"resume"}):this._controller.resume()}_onInitSegment(e,n){Promise.resolve().then(()=>{this._emitter.emit(te.INIT_SEGMENT,e,n)})}_onMediaSegment(e,n){Promise.resolve().then(()=>{this._emitter.emit(te.MEDIA_SEGMENT,e,n)})}_onLoadingComplete(){Promise.resolve().then(()=>{this._emitter.emit(te.LOADING_COMPLETE)})}_onRecoveredEarlyEof(){Promise.resolve().then(()=>{this._emitter.emit(te.RECOVERED_EARLY_EOF)})}_onMediaInfo(e){Promise.resolve().then(()=>{this._emitter.emit(te.MEDIA_INFO,e)})}_onMetaDataArrived(e){Promise.resolve().then(()=>{this._emitter.emit(te.METADATA_ARRIVED,e)})}_onScriptDataArrived(e){Promise.resolve().then(()=>{this._emitter.emit(te.SCRIPTDATA_ARRIVED,e)})}_onStatisticsInfo(e){Promise.resolve().then(()=>{this._emitter.emit(te.STATISTICS_INFO,e)})}_onIOError(e,n){Promise.resolve().then(()=>{this._emitter.emit(te.IO_ERROR,e,n)})}_onDemuxError(e,n){Promise.resolve().then(()=>{this._emitter.emit(te.DEMUX_ERROR,e,n)})}_onRecommendSeekpoint(e){Promise.resolve().then(()=>{this._emitter.emit(te.RECOMMEND_SEEKPOINT,e)})}_onLoggingConfigChanged(e){this._worker&&this._worker.postMessage({cmd:"logging_config",param:e})}_onWorkerMessage(e){let n=e.data,i=n.data;if(n.msg==="destroyed"||this._workerDestroying){this._workerDestroying=!1,this._worker.terminate(),this._worker=null;return}switch(n.msg){case te.INIT_SEGMENT:case te.MEDIA_SEGMENT:this._emitter.emit(n.msg,i.type,i.data);break;case te.LOADING_COMPLETE:case te.RECOVERED_EARLY_EOF:this._emitter.emit(n.msg);break;case te.MEDIA_INFO:Object.setPrototypeOf(i,tt.prototype),this._emitter.emit(n.msg,i);break;case te.METADATA_ARRIVED:case te.SCRIPTDATA_ARRIVED:case te.STATISTICS_INFO:this._emitter.emit(n.msg,i);break;case te.IO_ERROR:case te.DEMUX_ERROR:this._emitter.emit(n.msg,i.type,i.info);break;case te.RECOMMEND_SEEKPOINT:this._emitter.emit(n.msg,i);break;case"logcat_callback":T.emitter.emit("log",i.type,i.logcat);break;default:break}}}var Mt=Tt,kt={ERROR:"error",SOURCE_OPEN:"source_open",UPDATE_END:"update_end",BUFFER_FULL:"buffer_full"};class Jt{constructor(e){this.TAG="MSEController",this._config=e,this._emitter=new(z()),this._config.isLive&&this._config.autoCleanupSourceBuffer==null&&(this._config.autoCleanupSourceBuffer=!0),this.e={onSourceOpen:this._onSourceOpen.bind(this),onSourceEnded:this._onSourceEnded.bind(this),onSourceClose:this._onSourceClose.bind(this),onSourceBufferError:this._onSourceBufferError.bind(this),onSourceBufferUpdateEnd:this._onSourceBufferUpdateEnd.bind(this)},this._mediaSource=null,this._mediaSourceObjectURL=null,this._mediaElement=null,this._isBufferFull=!1,this._hasPendingEos=!1,this._requireSetMediaDuration=!1,this._pendingMediaDuration=0,this._pendingSourceBufferInit=[],this._mimeTypes={video:null,audio:null},this._sourceBuffers={video:null,audio:null},this._lastInitSegments={video:null,audio:null},this._pendingSegments={video:[],audio:[]},this._pendingRemoveRanges={video:[],audio:[]},this._idrList=new ne}destroy(){(this._mediaElement||this._mediaSource)&&this.detachMediaElement(),this.e=null,this._emitter.removeAllListeners(),this._emitter=null}on(e,n){this._emitter.addListener(e,n)}off(e,n){this._emitter.removeListener(e,n)}attachMediaElement(e){if(this._mediaSource)throw new w("MediaSource has been attached to an HTMLMediaElement!");let n=this._mediaSource=new window.MediaSource;n.addEventListener("sourceopen",this.e.onSourceOpen),n.addEventListener("sourceended",this.e.onSourceEnded),n.addEventListener("sourceclose",this.e.onSourceClose),this._mediaElement=e,this._mediaSourceObjectURL=window.URL.createObjectURL(this._mediaSource),e.src=this._mediaSourceObjectURL}detachMediaElement(){if(this._mediaSource){let e=this._mediaSource;for(let n in this._sourceBuffers){let i=this._pendingSegments[n];i.splice(0,i.length),this._pendingSegments[n]=null,this._pendingRemoveRanges[n]=null,this._lastInitSegments[n]=null;let t=this._sourceBuffers[n];if(t){if(e.readyState!=="closed"){try{e.removeSourceBuffer(t)}catch(r){T.e(this.TAG,r.message)}t.removeEventListener("error",this.e.onSourceBufferError),t.removeEventListener("updateend",this.e.onSourceBufferUpdateEnd)}this._mimeTypes[n]=null,this._sourceBuffers[n]=null}}if(e.readyState==="open")try{e.endOfStream()}catch(n){T.e(this.TAG,n.message)}e.removeEventListener("sourceopen",this.e.onSourceOpen),e.removeEventListener("sourceended",this.e.onSourceEnded),e.removeEventListener("sourceclose",this.e.onSourceClose),this._pendingSourceBufferInit=[],this._isBufferFull=!1,this._idrList.clear(),this._mediaSource=null}this._mediaElement&&(this._mediaElement.src="",this._mediaElement.removeAttribute("src"),this._mediaElement=null),this._mediaSourceObjectURL&&(window.URL.revokeObjectURL(this._mediaSourceObjectURL),this._mediaSourceObjectURL=null)}appendInitSegment(e,n){if(!this._mediaSource||this._mediaSource.readyState!=="open"){this._pendingSourceBufferInit.push(e),this._pendingSegments[e.type].push(e);return}let i=e,t=`${i.container}`;i.codec&&i.codec.length>0&&(t+=`;codecs=${i.codec}`);let r=!1;if(T.v(this.TAG,"Received Initialization Segment, mimeType: "+t),this._lastInitSegments[i.type]=i,t!==this._mimeTypes[i.type]){if(this._mimeTypes[i.type])T.v(this.TAG,`Notice: ${i.type} mimeType changed, origin: ${this._mimeTypes[i.type]}, target: ${t}`);else{r=!0;try{let o=this._sourceBuffers[i.type]=this._mediaSource.addSourceBuffer(t);o.addEventListener("error",this.e.onSourceBufferError),o.addEventListener("updateend",this.e.onSourceBufferUpdateEnd)}catch(o){T.e(this.TAG,o.message),this._emitter.emit(kt.ERROR,{code:o.code,msg:o.message});return}}this._mimeTypes[i.type]=t}n||this._pendingSegments[i.type].push(i),r||this._sourceBuffers[i.type]&&!this._sourceBuffers[i.type].updating&&this._doAppendSegments(),K.safari&&i.container==="audio/mpeg"&&i.mediaDuration>0&&(this._requireSetMediaDuration=!0,this._pendingMediaDuration=i.mediaDuration/1e3,this._updateMediaSourceDuration())}appendMediaSegment(e){let n=e;this._pendingSegments[n.type].push(n),this._config.autoCleanupSourceBuffer&&this._needCleanupSourceBuffer()&&this._doCleanupSourceBuffer();let i=this._sourceBuffers[n.type];i&&!i.updating&&!this._hasPendingRemoveRanges()&&this._doAppendSegments()}seek(e){for(let n in this._sourceBuffers){if(!this._sourceBuffers[n])continue;let i=this._sourceBuffers[n];if(this._mediaSource.readyState==="open")try{i.abort()}catch(r){T.e(this.TAG,r.message)}this._idrList.clear();let t=this._pendingSegments[n];if(t.splice(0,t.length),this._mediaSource.readyState!=="closed"){for(let r=0;r=1&&e-t.start(0)>=this._config.autoCleanupMaxBackwardDuration)return!0}}return!1}_doCleanupSourceBuffer(){let e=this._mediaElement.currentTime;for(let n in this._sourceBuffers){let i=this._sourceBuffers[n];if(i){let t=i.buffered,r=!1;for(let o=0;o=this._config.autoCleanupMaxBackwardDuration){r=!0;let p=e-this._config.autoCleanupMinBackwardDuration;this._pendingRemoveRanges[n].push({start:a,end:p})}}else I0&&(isNaN(n)||i>n)&&(T.v(this.TAG,`Update MediaSource duration from ${n} to ${i}`),this._mediaSource.duration=i),this._requireSetMediaDuration=!1,this._pendingMediaDuration=0}_doRemoveRanges(){for(let e in this._pendingRemoveRanges){if(!this._sourceBuffers[e]||this._sourceBuffers[e].updating)continue;let n=this._sourceBuffers[e],i=this._pendingRemoveRanges[e];for(;i.length&&!n.updating;){let t=i.shift();n.remove(t.start,t.end)}}}_doAppendSegments(){let e=this._pendingSegments;for(let n in e)if(!(!this._sourceBuffers[n]||this._sourceBuffers[n].updating)&&e[n].length>0){let i=e[n].shift();if(i.timestampOffset){let t=this._sourceBuffers[n].timestampOffset,r=i.timestampOffset/1e3;Math.abs(t-r)>.1&&(T.v(this.TAG,`Update MPEG audio timestampOffset from ${t} to ${r}`),this._sourceBuffers[n].timestampOffset=r),delete i.timestampOffset}if(!i.data||i.data.byteLength===0)continue;try{this._sourceBuffers[n].appendBuffer(i.data),this._isBufferFull=!1,n==="video"&&i.hasOwnProperty("info")&&this._idrList.appendArray(i.info.syncPoints)}catch(t){this._pendingSegments[n].unshift(i),t.code===22?(this._isBufferFull||this._emitter.emit(kt.BUFFER_FULL),this._isBufferFull=!0):(T.e(this.TAG,t.message),this._emitter.emit(kt.ERROR,{code:t.code,msg:t.message}))}}}_onSourceOpen(){if(T.v(this.TAG,"MediaSource onSourceOpen"),this._mediaSource.removeEventListener("sourceopen",this.e.onSourceOpen),this._pendingSourceBufferInit.length>0){let e=this._pendingSourceBufferInit;for(;e.length;){let n=e.shift();this.appendInitSegment(n,!0)}}this._hasPendingSegments()&&this._doAppendSegments(),this._emitter.emit(kt.SOURCE_OPEN)}_onSourceEnded(){T.v(this.TAG,"MediaSource onSourceEnded")}_onSourceClose(){T.v(this.TAG,"MediaSource onSourceClose"),this._mediaSource&&this.e!=null&&(this._mediaSource.removeEventListener("sourceopen",this.e.onSourceOpen),this._mediaSource.removeEventListener("sourceended",this.e.onSourceEnded),this._mediaSource.removeEventListener("sourceclose",this.e.onSourceClose))}_hasPendingSegments(){let e=this._pendingSegments;return e.video.length>0||e.audio.length>0}_hasPendingRemoveRanges(){let e=this._pendingRemoveRanges;return e.video.length>0||e.audio.length>0}_onSourceBufferUpdateEnd(){this._requireSetMediaDuration?this._updateMediaSourceDuration():this._hasPendingRemoveRanges()?this._doRemoveRanges():this._hasPendingSegments()?this._doAppendSegments():this._hasPendingEos&&this.endOfStream(),this._emitter.emit(kt.UPDATE_END)}_onSourceBufferError(e){T.e(this.TAG,`SourceBuffer Error: ${e}`)}}var Wt=Jt;const We={NETWORK_ERROR:"NetworkError",MEDIA_ERROR:"MediaError",OTHER_ERROR:"OtherError"},St={NETWORK_EXCEPTION:xe.EXCEPTION,NETWORK_STATUS_CODE_INVALID:xe.HTTP_STATUS_CODE_INVALID,NETWORK_TIMEOUT:xe.CONNECTING_TIMEOUT,NETWORK_UNRECOVERABLE_EARLY_EOF:xe.UNRECOVERABLE_EARLY_EOF,MEDIA_MSE_ERROR:"MediaMSEError",MEDIA_FORMAT_ERROR:S.FORMAT_ERROR,MEDIA_FORMAT_UNSUPPORTED:S.FORMAT_UNSUPPORTED,MEDIA_CODEC_UNSUPPORTED:S.CODEC_UNSUPPORTED};class Xt{constructor(e,n){if(this.TAG="FlvPlayer",this._type="FlvPlayer",this._emitter=new(z()),this._config=$(),typeof n=="object"&&Object.assign(this._config,n),e.type.toLowerCase()!=="flv")throw new Oe("FlvPlayer requires an flv MediaDataSource input!");e.isLive===!0&&(this._config.isLive=!0),this.e={onvLoadedMetadata:this._onvLoadedMetadata.bind(this),onvSeeking:this._onvSeeking.bind(this),onvCanPlay:this._onvCanPlay.bind(this),onvStalled:this._onvStalled.bind(this),onvProgress:this._onvProgress.bind(this)},self.performance&&self.performance.now?this._now=self.performance.now.bind(self.performance):this._now=Date.now,this._pendingSeekTime=null,this._requestSetTime=!1,this._seekpointRecord=null,this._progressChecker=null,this._mediaDataSource=e,this._mediaElement=null,this._msectl=null,this._transmuxer=null,this._mseSourceOpened=!1,this._hasPendingLoad=!1,this._receivedCanPlay=!1,this._mediaInfo=null,this._statisticsInfo=null;let i=K.chrome&&(K.version.major<50||K.version.major===50&&K.version.build<2661);this._alwaysSeekKeyframe=!!(i||K.msedge||K.msie),this._alwaysSeekKeyframe&&(this._config.accurateSeek=!1)}destroy(){this._progressChecker!=null&&(window.clearInterval(this._progressChecker),this._progressChecker=null),this._transmuxer&&this.unload(),this._mediaElement&&this.detachMediaElement(),this.e=null,this._mediaDataSource=null,this._emitter.removeAllListeners(),this._emitter=null}on(e,n){e===ee.MEDIA_INFO?this._mediaInfo!=null&&Promise.resolve().then(()=>{this._emitter.emit(ee.MEDIA_INFO,this.mediaInfo)}):e===ee.STATISTICS_INFO&&this._statisticsInfo!=null&&Promise.resolve().then(()=>{this._emitter.emit(ee.STATISTICS_INFO,this.statisticsInfo)}),this._emitter.addListener(e,n)}off(e,n){this._emitter.removeListener(e,n)}attachMediaElement(e){if(this._mediaElement=e,e.addEventListener("loadedmetadata",this.e.onvLoadedMetadata),e.addEventListener("seeking",this.e.onvSeeking),e.addEventListener("canplay",this.e.onvCanPlay),e.addEventListener("stalled",this.e.onvStalled),e.addEventListener("progress",this.e.onvProgress),this._msectl=new Wt(this._config),this._msectl.on(kt.UPDATE_END,this._onmseUpdateEnd.bind(this)),this._msectl.on(kt.BUFFER_FULL,this._onmseBufferFull.bind(this)),this._msectl.on(kt.SOURCE_OPEN,()=>{this._mseSourceOpened=!0,this._hasPendingLoad&&(this._hasPendingLoad=!1,this.load())}),this._msectl.on(kt.ERROR,n=>{this._emitter.emit(ee.ERROR,We.MEDIA_ERROR,St.MEDIA_MSE_ERROR,n)}),this._msectl.attachMediaElement(e),this._pendingSeekTime!=null)try{e.currentTime=this._pendingSeekTime,this._pendingSeekTime=null}catch(n){}}detachMediaElement(){this._mediaElement&&(this._msectl.detachMediaElement(),this._mediaElement.removeEventListener("loadedmetadata",this.e.onvLoadedMetadata),this._mediaElement.removeEventListener("seeking",this.e.onvSeeking),this._mediaElement.removeEventListener("canplay",this.e.onvCanPlay),this._mediaElement.removeEventListener("stalled",this.e.onvStalled),this._mediaElement.removeEventListener("progress",this.e.onvProgress),this._mediaElement=null),this._msectl&&(this._msectl.destroy(),this._msectl=null)}load(){if(!this._mediaElement)throw new w("HTMLMediaElement must be attached before load()!");if(this._transmuxer)throw new w("FlvPlayer.load() has been called, please call unload() first!");if(!this._hasPendingLoad){if(this._config.deferLoadAfterSourceOpen&&this._mseSourceOpened===!1){this._hasPendingLoad=!0;return}this._mediaElement.readyState>0&&(this._requestSetTime=!0,this._mediaElement.currentTime=0),this._transmuxer=new Mt(this._mediaDataSource,this._config),this._transmuxer.on(te.INIT_SEGMENT,(e,n)=>{this._msectl.appendInitSegment(n)}),this._transmuxer.on(te.MEDIA_SEGMENT,(e,n)=>{if(this._msectl.appendMediaSegment(n),this._config.lazyLoad&&!this._config.isLive){let i=this._mediaElement.currentTime;n.info.endDts>=(i+this._config.lazyLoadMaxDuration)*1e3&&this._progressChecker==null&&(T.v(this.TAG,"Maximum buffering duration exceeded, suspend transmuxing task"),this._suspendTransmuxer())}}),this._transmuxer.on(te.LOADING_COMPLETE,()=>{this._msectl.endOfStream(),this._emitter.emit(ee.LOADING_COMPLETE)}),this._transmuxer.on(te.RECOVERED_EARLY_EOF,()=>{this._emitter.emit(ee.RECOVERED_EARLY_EOF)}),this._transmuxer.on(te.IO_ERROR,(e,n)=>{this._emitter.emit(ee.ERROR,We.NETWORK_ERROR,e,n)}),this._transmuxer.on(te.DEMUX_ERROR,(e,n)=>{this._emitter.emit(ee.ERROR,We.MEDIA_ERROR,e,{code:-1,msg:n})}),this._transmuxer.on(te.MEDIA_INFO,e=>{this._mediaInfo=e,this._emitter.emit(ee.MEDIA_INFO,Object.assign({},e))}),this._transmuxer.on(te.METADATA_ARRIVED,e=>{this._emitter.emit(ee.METADATA_ARRIVED,e)}),this._transmuxer.on(te.SCRIPTDATA_ARRIVED,e=>{this._emitter.emit(ee.SCRIPTDATA_ARRIVED,e)}),this._transmuxer.on(te.STATISTICS_INFO,e=>{this._statisticsInfo=this._fillStatisticsInfo(e),this._emitter.emit(ee.STATISTICS_INFO,Object.assign({},this._statisticsInfo))}),this._transmuxer.on(te.RECOMMEND_SEEKPOINT,e=>{this._mediaElement&&!this._config.accurateSeek&&(this._requestSetTime=!0,this._mediaElement.currentTime=e/1e3)}),this._transmuxer.open()}}unload(){this._mediaElement&&this._mediaElement.pause(),this._msectl&&this._msectl.seek(0),this._transmuxer&&(this._transmuxer.close(),this._transmuxer.destroy(),this._transmuxer=null)}play(){return this._mediaElement.play()}pause(){this._mediaElement.pause()}get type(){return this._type}get buffered(){return this._mediaElement.buffered}get duration(){return this._mediaElement.duration}get volume(){return this._mediaElement.volume}set volume(e){this._mediaElement.volume=e}get muted(){return this._mediaElement.muted}set muted(e){this._mediaElement.muted=e}get currentTime(){return this._mediaElement?this._mediaElement.currentTime:0}set currentTime(e){this._mediaElement?this._internalSeek(e):this._pendingSeekTime=e}get mediaInfo(){return Object.assign({},this._mediaInfo)}get statisticsInfo(){return this._statisticsInfo==null&&(this._statisticsInfo={}),this._statisticsInfo=this._fillStatisticsInfo(this._statisticsInfo),Object.assign({},this._statisticsInfo)}_fillStatisticsInfo(e){if(e.playerType=this._type,!(this._mediaElement instanceof HTMLVideoElement))return e;let n=!0,i=0,t=0;if(this._mediaElement.getVideoPlaybackQuality){let 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t=e.target.response,n=this._range.from+this._receivedLength;this._receivedLength+=t.byteLength,this._onDataArrival&&this._onDataArrival(t,n,this._receivedLength)}_onLoadEnd(e){if(this._requestAbort===!0){this._requestAbort=!1;return}else if(this._status===_.kError)return;this._status=_.kComplete,this._onComplete&&this._onComplete(this._range.from,this._range.from+this._receivedLength-1)}_onXhrError(e){this._status=_.kError;let t=0,n=null;if(this._contentLength&&e.loaded=200&&t.status<=299){if(this._status=LoaderStatus.kBuffering,t.responseURL!=null){let d=this._seekHandler.removeURLParameters(t.responseURL);t.responseURL!==this._currentRequestURL&&d!==this._currentRedirectedURL&&(this._currentRedirectedURL=d,this._onURLRedirect&&this._onURLRedirect(d))}let n=t.getResponseHeader("Content-Length");if(n!=null&&this._contentLength==null){let d=parseInt(n);d>0&&(this._contentLength=d,this._onContentLengthKnown&&this._onContentLengthKnown(this._contentLength))}}else 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reconnecting...`),this._doReconnectIfNeeded())}_doReconnectIfNeeded(){if(this._contentLength==null||this._receivedLength=this._contentLength&&(n=this._range.from+this._contentLength-1),this._currentRequestRange={from:t,to:n},this._internalOpen(this._dataSource,this._currentRequestRange)}_internalOpen(e,t){this._lastTimeLoaded=0;let n=e.url;this._config.reuseRedirectedURL&&(this._currentRedirectedURL!=null?n=this._currentRedirectedURL:e.redirectedURL!=null&&(n=e.redirectedURL));let d=this._seekHandler.getConfig(n,t);this._currentRequestURL=d.url;let y=this._xhr=new XMLHttpRequest;if(y.open("GET",d.url,!0),y.responseType="arraybuffer",y.onreadystatechange=this._onReadyStateChange.bind(this),y.onprogress=this._onProgress.bind(this),y.onload=this._onLoad.bind(this),y.onerror=this._onXhrError.bind(this),e.withCredentials&&(y.withCredentials=!0),typeof d.headers=="object"){let m=d.headers;for(let v in m)m.hasOwnProperty(v)&&y.setRequestHeader(v,m[v])}if(typeof this._config.headers=="object"){let m=this._config.headers;for(let v in m)m.hasOwnProperty(v)&&y.setRequestHeader(v,m[v])}y.send()}abort(){this._requestAbort=!0,this._internalAbort(),this._status=_.kComplete}_internalAbort(){this._xhr&&(this._xhr.onreadystatechange=null,this._xhr.onprogress=null,this._xhr.onload=null,this._xhr.onerror=null,this._xhr.abort(),this._xhr=null)}_onReadyStateChange(e){let t=e.target;if(t.readyState===2){if(t.responseURL!=null){let n=this._seekHandler.removeURLParameters(t.responseURL);t.responseURL!==this._currentRequestURL&&n!==this._currentRedirectedURL&&(this._currentRedirectedURL=n,this._onURLRedirect&&this._onURLRedirect(n))}if(t.status>=200&&t.status<=299){if(this._waitForTotalLength)return;this._status=_.kBuffering}else if(this._status=_.kError,this._onError)this._onError(j.HTTP_STATUS_CODE_INVALID,{code:t.status,msg:t.statusText});else throw new Y("RangeLoader: Http code invalid, "+t.status+" "+t.statusText)}}_onProgress(e){if(this._status===_.kError)return;if(this._contentLength===null){let n=!1;if(this._waitForTotalLength){this._waitForTotalLength=!1,this._totalLengthReceived=!0,n=!0;let d=e.total;this._internalAbort(),d!=null&d!==0&&(this._totalLength=d)}if(this._range.to===-1?this._contentLength=this._totalLength-this._range.from:this._contentLength=this._range.to-this._range.from+1,n){this._openSubRange();return}this._onContentLengthKnown&&this._onContentLengthKnown(this._contentLength)}let t=e.loaded-this._lastTimeLoaded;this._lastTimeLoaded=e.loaded,this._speedSampler.addBytes(t)}_normalizeSpeed(e){let t=this._chunkSizeKBList,n=t.length-1,d=0,y=0,m=n;if(e=t[d]&&e=3&&(t=this._speedSampler.currentKBps)),t!==0){let m=this._normalizeSpeed(t);this._currentSpeedNormalized!==m&&(this._currentSpeedNormalized=m,this._currentChunkSizeKB=m)}let n=e.target.response,d=this._range.from+this._receivedLength;this._receivedLength+=n.byteLength;let y=!1;this._contentLength!=null&&this._receivedLength0&&this._receivedLength{this._dispatchArrayBuffer(t.result)},t.readAsArrayBuffer(e.data)}else{this._status=_.kError;let t={code:-1,msg:"Unsupported WebSocket message type: "+e.data.constructor.name};if(this._onError)this._onError(j.EXCEPTION,t);else throw new Y(t.msg)}}_dispatchArrayBuffer(e){let t=e,n=this._receivedLength;this._receivedLength+=t.byteLength,this._onDataArrival&&this._onDataArrival(t,n,this._receivedLength)}_onWebSocketError(e){this._status=_.kError;let t={code:e.code,msg:e.message};if(this._onError)this._onError(j.EXCEPTION,t);else throw new Y(t.msg)}}var ie=F;class M{constructor(e){this._zeroStart=e||!1}getConfig(e,t){let n={};if(t.from!==0||t.to!==-1){let d;t.to!==-1?d=`bytes=${t.from.toString()}-${t.to.toString()}`:d=`bytes=${t.from.toString()}-`,n.Range=d}else this._zeroStart&&(n.Range="bytes=0-");return{url:e,headers:n}}removeURLParameters(e){return e}}var ce=M;class H{constructor(e,t){this._startName=e,this._endName=t}getConfig(e,t){let n=e;if(t.from!==0||t.to!==-1){let d=!0;n.indexOf("?")===-1&&(n+="?",d=!1),d&&(n+="&"),n+=`${this._startName}=${t.from.toString()}`,t.to!==-1&&(n+=`&${this._endName}=${t.to.toString()}`)}return{url:n,headers:{}}}removeURLParameters(e){let t=e.split("?")[0],n,d=e.indexOf("?");d!==-1&&(n=e.substring(d+1));let y="";if(n!=null&&n.length>0){let m=n.split("&");for(let v=0;v0;fe[0]!==this._startName&&fe[0]!==this._endName&&(W&&(y+="&"),y+=m[v])}}return y.length===0?t:t+"?"+y}}var be=H;class T{constructor(e,t,n){this.TAG="IOController",this._config=t,this._extraData=n,this._stashInitialSize=1024*384,t.stashInitialSize!=null&&t.stashInitialSize>0&&(this._stashInitialSize=t.stashInitialSize),this._stashUsed=0,this._stashSize=this._stashInitialSize,this._bufferSize=1024*1024*3,this._stashBuffer=new ArrayBuffer(this._bufferSize),this._stashByteStart=0,this._enableStash=!0,t.enableStashBuffer===!1&&(this._enableStash=!1),this._loader=null,this._loaderClass=null,this._seekHandler=null,this._dataSource=e,this._isWebSocketURL=/wss?:\/\/(.+?)/.test(e.url),this._refTotalLength=e.filesize?e.filesize:null,this._totalLength=this._refTotalLength,this._fullRequestFlag=!1,this._currentRange=null,this._redirectedURL=null,this._speedNormalized=0,this._speedSampler=new 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e=this._config;if(e.seekType==="range")this._seekHandler=new ce(this._config.rangeLoadZeroStart);else if(e.seekType==="param"){let t=e.seekParamStart||"bstart",n=e.seekParamEnd||"bend";this._seekHandler=new be(t,n)}else if(e.seekType==="custom"){if(typeof e.customSeekHandler!="function")throw new ue("Custom seekType specified in config but invalid customSeekHandler!");this._seekHandler=new e.customSeekHandler}else throw new ue(`Invalid seekType in config: ${e.seekType}`)}_selectLoader(){if(this._config.customLoader!=null)this._loaderClass=this._config.customLoader;else if(this._isWebSocketURL)this._loaderClass=ie;else if(I.isSupported())this._loaderClass=I;else if(c.isSupported())this._loaderClass=c;else if(N.isSupported())this._loaderClass=N;else throw new Y("Your browser doesn't support xhr with arraybuffer responseType!")}_createLoader(){this._loader=new this._loaderClass(this._seekHandler,this._config),this._loader.needStashBuffer===!1&&(this._enableStash=!1),this._loader.onContentLengthKnown=this._onContentLengthKnown.bind(this),this._loader.onURLRedirect=this._onURLRedirect.bind(this),this._loader.onDataArrival=this._onLoaderChunkArrival.bind(this),this._loader.onComplete=this._onLoaderComplete.bind(this),this._loader.onError=this._onLoaderError.bind(this)}open(e){this._currentRange={from:0,to:-1},e&&(this._currentRange.from=e),this._speedSampler.reset(),e||(this._fullRequestFlag=!0),this._loader.open(this._dataSource,Object.assign({},this._currentRange))}abort(){this._loader.abort(),this._paused&&(this._paused=!1,this._resumeFrom=0)}pause(){this.isWorking()&&(this._loader.abort(),this._stashUsed!==0?(this._resumeFrom=this._stashByteStart,this._currentRange.to=this._stashByteStart-1):this._resumeFrom=this._currentRange.to+1,this._stashUsed=0,this._stashByteStart=0,this._paused=!0)}resume(){if(this._paused){this._paused=!1;let e=this._resumeFrom;this._resumeFrom=0,this._internalSeek(e,!0)}}seek(e){this._paused=!1,this._stashUsed=0,this._stashByteStart=0,this._internalSeek(e,!0)}_internalSeek(e,t){this._loader.isWorking()&&this._loader.abort(),this._flushStashBuffer(t),this._loader.destroy(),this._loader=null;let n={from:e,to:-1};this._currentRange={from:n.from,to:-1},this._speedSampler.reset(),this._stashSize=this._stashInitialSize,this._createLoader(),this._loader.open(this._dataSource,n),this._onSeeked&&this._onSeeked()}updateUrl(e){if(!e||typeof e!="string"||e.length===0)throw new ue("Url must be a non-empty string!");this._dataSource.url=e}_expandBuffer(e){let t=this._stashSize;for(;t+1024*1024*10){let d=new Uint8Array(this._stashBuffer,0,this._stashUsed);new Uint8Array(n,0,t).set(d,0)}this._stashBuffer=n,this._bufferSize=t}_normalizeSpeed(e){let t=this._speedNormalizeList,n=t.length-1,d=0,y=0,m=n;if(e=t[d]&&e=512&&e<=1024?t=Math.floor(e*1.5):t=e*2,t>8192&&(t=8192);let n=t*1024+1024*1024*1;this._bufferSize0){let m=this._stashBuffer.slice(0,this._stashUsed),v=this._dispatchChunks(m,this._stashByteStart);if(v0){let fe=new Uint8Array(m,v);y.set(fe,0),this._stashUsed=fe.byteLength,this._stashByteStart+=v}}else this._stashUsed=0,this._stashByteStart+=v;this._stashUsed+e.byteLength>this._bufferSize&&(this._expandBuffer(this._stashUsed+e.byteLength),y=new Uint8Array(this._stashBuffer,0,this._bufferSize)),y.set(new Uint8Array(e),this._stashUsed),this._stashUsed+=e.byteLength}else{let m=this._dispatchChunks(e,t);if(mthis._bufferSize&&(this._expandBuffer(v),y=new Uint8Array(this._stashBuffer,0,this._bufferSize)),y.set(new Uint8Array(e,m),0),this._stashUsed+=v,this._stashByteStart=t+m}}}else if(this._stashUsed===0){let y=this._dispatchChunks(e,t);if(ythis._bufferSize&&this._expandBuffer(m),new Uint8Array(this._stashBuffer,0,this._bufferSize).set(new Uint8Array(e,y),0),this._stashUsed+=m,this._stashByteStart=t+y}}else{this._stashUsed+e.byteLength>this._bufferSize&&this._expandBuffer(this._stashUsed+e.byteLength);let y=new Uint8Array(this._stashBuffer,0,this._bufferSize);y.set(new Uint8Array(e),this._stashUsed),this._stashUsed+=e.byteLength;let m=this._dispatchChunks(this._stashBuffer.slice(0,this._stashUsed),this._stashByteStart);if(m0){let v=new Uint8Array(this._stashBuffer,m);y.set(v,0)}this._stashUsed-=m,this._stashByteStart+=m}}_flushStashBuffer(e){if(this._stashUsed>0){let t=this._stashBuffer.slice(0,this._stashUsed),n=this._dispatchChunks(t,this._stashByteStart),d=t.byteLength-n;if(n0){let y=new Uint8Array(this._stashBuffer,0,this._bufferSize),m=new Uint8Array(t,n);y.set(m,0),this._stashUsed=m.byteLength,this._stashByteStart+=n}return 0}return this._stashUsed=0,this._stashByteStart=0,d}return 0}_onLoaderComplete(e,t){this._flushStashBuffer(!0),this._onComplete&&this._onComplete(this._extraData)}_onLoaderError(e,t){switch(S.e(this.TAG,`Loader error, code = ${t.code}, msg = ${t.msg}`),this._flushStashBuffer(!1),this._isEarlyEofReconnecting&&(this._isEarlyEofReconnecting=!1,e=j.UNRECOVERABLE_EARLY_EOF),e){case j.EARLY_EOF:{if(!this._config.isLive&&this._totalLength){let n=this._currentRange.to+1;n0){let t=Re.getConfig();e.emit("change",t)}}static registerListener(e){Re.emitter.addListener("change",e)}static removeListener(e){Re.emitter.removeListener("change",e)}static addLogListener(e){S.emitter.addListener("log",e),S.emitter.listenerCount("log")>0&&(S.ENABLE_CALLBACK=!0,Re._notifyChange())}static removeLogListener(e){S.emitter.removeListener("log",e),S.emitter.listenerCount("log")===0&&(S.ENABLE_CALLBACK=!1,Re._notifyChange())}}Re.emitter=new(Z());var Ne=Re;class xe{constructor(){this.mimeType=null,this.duration=null,this.hasAudio=null,this.hasVideo=null,this.audioCodec=null,this.videoCodec=null,this.audioDataRate=null,this.videoDataRate=null,this.audioSampleRate=null,this.audioChannelCount=null,this.width=null,this.height=null,this.fps=null,this.profile=null,this.level=null,this.refFrames=null,this.chromaFormat=null,this.sarNum=null,this.sarDen=null,this.metadata=null,this.segments=null,this.segmentCount=null,this.hasKeyframesIndex=null,this.keyframesIndex=null}isComplete(){let e=this.hasAudio===!1||this.hasAudio===!0&&this.audioCodec!=null&&this.audioSampleRate!=null&&this.audioChannelCount!=null,t=this.hasVideo===!1||this.hasVideo===!0&&this.videoCodec!=null&&this.width!=null&&this.height!=null&&this.fps!=null&&this.profile!=null&&this.level!=null&&this.refFrames!=null&&this.chromaFormat!=null&&this.sarNum!=null&&this.sarDen!=null;return this.mimeType!=null&&this.duration!=null&&this.metadata!=null&&this.hasKeyframesIndex!=null&&e&&t}isSeekable(){return this.hasKeyframesIndex===!0}getNearestKeyframe(e){if(this.keyframesIndex==null)return null;let t=this.keyframesIndex,n=this._search(t.times,e);return{index:n,milliseconds:t.times[n],fileposition:t.filepositions[n]}}_search(e,t){let n=0,d=e.length-1,y=0,m=0,v=d;for(t=e[y]&&t=128){e.push(String.fromCharCode(y&65535)),n+=2;continue}}}else if(t[n]<240){if(tt(t,n,2)){let y=(t[n]&15)<<12|(t[n+1]&63)<<6|t[n+2]&63;if(y>=2048&&(y&63488)!==55296){e.push(String.fromCharCode(y&65535)),n+=3;continue}}}else if(t[n]<248&&tt(t,n,3)){let y=(t[n]&7)<<18|(t[n+1]&63)<<12|(t[n+2]&63)<<6|t[n+3]&63;if(y>65536&&y<1114112){y-=65536,e.push(String.fromCharCode(y>>>10|55296)),e.push(String.fromCharCode(y&1023|56320)),n+=4;continue}}}e.push("\uFFFD"),++n}return e.join("")}var je=he;let Pe=function(){let Ke=new ArrayBuffer(2);return new DataView(Ke).setInt16(0,256,!0),new Int16Array(Ke)[0]===256}();class We{static parseScriptData(e,t,n){let d={};try{let y=We.parseValue(e,t,n),m=We.parseValue(e,t+y.size,n-y.size);d[y.data]=m.data}catch(y){S.e("AMF",y.toString())}return d}static parseObject(e,t,n){if(n<3)throw new E("Data not enough when parse ScriptDataObject");let d=We.parseString(e,t,n),y=We.parseValue(e,t+d.size,n-d.size),m=y.objectEnd;return{data:{name:d.data,value:y.data},size:d.size+y.size,objectEnd:m}}static parseVariable(e,t,n){return We.parseObject(e,t,n)}static parseString(e,t,n){if(n<2)throw new E("Data not enough when parse String");let y=new DataView(e,t,n).getUint16(0,!Pe),m;return y>0?m=je(new Uint8Array(e,t+2,y)):m="",{data:m,size:2+y}}static parseLongString(e,t,n){if(n<4)throw new E("Data not enough when parse LongString");let y=new DataView(e,t,n).getUint32(0,!Pe),m;return y>0?m=je(new Uint8Array(e,t+4,y)):m="",{data:m,size:4+y}}static parseDate(e,t,n){if(n<10)throw new E("Data size invalid when parse Date");let d=new DataView(e,t,n),y=d.getFloat64(0,!Pe),m=d.getInt16(8,!Pe);return y+=m*60*1e3,{data:new Date(y),size:10}}static parseValue(e,t,n){if(n<1)throw new E("Data not enough when parse Value");let d=new DataView(e,t,n),y=1,m=d.getUint8(0),v,fe=!1;try{switch(m){case 0:v=d.getFloat64(1,!Pe),y+=8;break;case 1:{v=!!d.getUint8(1),y+=1;break}case 2:{let W=We.parseString(e,t+1,n-1);v=W.data,y+=W.size;break}case 3:{v={};let W=0;for((d.getUint32(n-4,!Pe)&16777215)===9&&(W=3);y32)throw new ue("ExpGolomb: readBits() bits exceeded max 32bits!");if(e<=this._current_word_bits_left){let m=this._current_word>>>32-e;return this._current_word<<=e,this._current_word_bits_left-=e,m}let t=this._current_word_bits_left?this._current_word:0;t=t>>>32-this._current_word_bits_left;let n=e-this._current_word_bits_left;this._fillCurrentWord();let d=Math.min(n,this._current_word_bits_left),y=this._current_word>>>32-d;return this._current_word<<=d,this._current_word_bits_left-=d,t=t<>>e)return this._current_word<<=e,this._current_word_bits_left-=e,e;return this._fillCurrentWord(),e+this._skipLeadingZero()}readUEG(){let e=this._skipLeadingZero();return this.readBits(e+1)-1}readSEG(){let e=this.readUEG();return e&1?e+1>>>1:-1*(e>>>1)}}var Ve=me;class O{static _ebsp2rbsp(e){let t=e,n=t.byteLength,d=new Uint8Array(n),y=0;for(let m=0;m=2&&t[m]===3&&t[m-1]===0&&t[m-2]===0||(d[y]=t[m],y++);return new Uint8Array(d.buffer,0,y)}static parseSPS(e){let t=O._ebsp2rbsp(e),n=new Ve(t);n.readByte();let d=n.readByte();n.readByte();let y=n.readByte();n.readUEG();let m=O.getProfileString(d),v=O.getLevelString(y),fe=1,W=420,Ee=[0,420,422,444],Ae=8;if((d===100||d===110||d===122||d===244||d===44||d===83||d===86||d===118||d===128||d===138||d===144)&&(fe=n.readUEG(),fe===3&&n.readBits(1),fe<=3&&(W=Ee[fe]),Ae=n.readUEG()+8,n.readUEG(),n.readBits(1),n.readBool())){let pt=fe!==3?8:12;for(let at=0;at0&&pt<16?(yt=at[pt-1],Ge=It[pt-1]):pt===255&&(yt=n.readByte()<<8|n.readByte(),Ge=n.readByte()<<8|n.readByte())}if(n.readBool()&&n.readBool(),n.readBool()&&(n.readBits(4),n.readBool()&&n.readBits(24)),n.readBool()&&(n.readUEG(),n.readUEG()),n.readBool()){let pt=n.readBits(32),at=n.readBits(32);G=n.readBool(),ee=at,le=pt*2,Xe=ee/le}}let ge=1;(yt!==1||Ge!==1)&&(ge=yt/Ge);let Fe=0,$e=0;if(fe===0)Fe=1,$e=2-pe;else{let pt=fe===3?1:2,at=fe===1?2:1;Fe=pt,$e=at*(2-pe)}let et=(ke+1)*16,dt=(2-pe)*((Le+1)*16);et-=(ye+ze)*Fe,dt-=(Oe+Qe)*$e;let ct=Math.ceil(et*ge);return n.destroy(),n=null,{profile_string:m,level_string:v,bit_depth:Ae,ref_frames:_e,chroma_format:W,chroma_format_string:O.getChromaFormatString(W),frame_rate:{fixed:G,fps:Xe,fps_den:le,fps_num:ee},sar_ratio:{width:yt,height:Ge},codec_size:{width:et,height:dt},present_size:{width:ct,height:dt}}}static _skipScalingList(e,t){let n=8,d=8,y=0;for(let m=0;m>>8&255|(Ke&255)<<8}function re(Ke){return(Ke&4278190080)>>>24|(Ke&16711680)>>>8|(Ke&65280)<<8|(Ke&255)<<24}function a(Ke,e){return Ke[e]<<24|Ke[e+1]<<16|Ke[e+2]<<8|Ke[e+3]}class o{constructor(e,t){this.TAG="FLVDemuxer",this._config=t,this._onError=null,this._onMediaInfo=null,this._onMetaDataArrived=null,this._onScriptDataArrived=null,this._onTrackMetadata=null,this._onDataAvailable=null,this._dataOffset=e.dataOffset,this._firstParse=!0,this._dispatch=!1,this._hasAudio=e.hasAudioTrack,this._hasVideo=e.hasVideoTrack,this._hasAudioFlagOverrided=!1,this._hasVideoFlagOverrided=!1,this._audioInitialMetadataDispatched=!1,this._videoInitialMetadataDispatched=!1,this._mediaInfo=new Ue,this._mediaInfo.hasAudio=this._hasAudio,this._mediaInfo.hasVideo=this._hasVideo,this._metadata=null,this._audioMetadata=null,this._videoMetadata=null,this._naluLengthSize=4,this._timestampBase=0,this._timescale=1e3,this._duration=0,this._durationOverrided=!1,this._referenceFrameRate={fixed:!0,fps:23.976,fps_num:23976,fps_den:1e3},this._flvSoundRateTable=[5500,11025,22050,44100,48e3],this._mpegSamplingRates=[96e3,88200,64e3,48e3,44100,32e3,24e3,22050,16e3,12e3,11025,8e3,7350],this._mpegAudioV10SampleRateTable=[44100,48e3,32e3,0],this._mpegAudioV20SampleRateTable=[22050,24e3,16e3,0],this._mpegAudioV25SampleRateTable=[11025,12e3,8e3,0],this._mpegAudioL1BitRateTable=[0,32,64,96,128,160,192,224,256,288,320,352,384,416,448,-1],this._mpegAudioL2BitRateTable=[0,32,48,56,64,80,96,112,128,160,192,224,256,320,384,-1],this._mpegAudioL3BitRateTable=[0,32,40,48,56,64,80,96,112,128,160,192,224,256,320,-1],this._videoTrack={type:"video",id:1,sequenceNumber:0,samples:[],length:0},this._audioTrack={type:"audio",id:2,sequenceNumber:0,samples:[],length:0},this._littleEndian=function(){let n=new ArrayBuffer(2);return new DataView(n).setInt16(0,256,!0),new Int16Array(n)[0]===256}()}destroy(){this._mediaInfo=null,this._metadata=null,this._audioMetadata=null,this._videoMetadata=null,this._videoTrack=null,this._audioTrack=null,this._onError=null,this._onMediaInfo=null,this._onMetaDataArrived=null,this._onScriptDataArrived=null,this._onTrackMetadata=null,this._onDataAvailable=null}static probe(e){let t=new Uint8Array(e),n={match:!1};if(t[0]!==70||t[1]!==76||t[2]!==86||t[3]!==1)return n;let d=(t[4]&4)>>>2!==0,y=(t[4]&1)!==0,m=a(t,5);return m<9?n:{match:!0,consumed:m,dataOffset:m,hasAudioTrack:d,hasVideoTrack:y}}bindDataSource(e){return e.onDataArrival=this.parseChunks.bind(this),this}get onTrackMetadata(){return this._onTrackMetadata}set onTrackMetadata(e){this._onTrackMetadata=e}get onMediaInfo(){return this._onMediaInfo}set onMediaInfo(e){this._onMediaInfo=e}get onMetaDataArrived(){return this._onMetaDataArrived}set onMetaDataArrived(e){this._onMetaDataArrived=e}get onScriptDataArrived(){return this._onScriptDataArrived}set onScriptDataArrived(e){this._onScriptDataArrived=e}get onError(){return this._onError}set onError(e){this._onError=e}get onDataAvailable(){return this._onDataAvailable}set onDataAvailable(e){this._onDataAvailable=e}get timestampBase(){return this._timestampBase}set timestampBase(e){this._timestampBase=e}get overridedDuration(){return this._duration}set overridedDuration(e){this._durationOverrided=!0,this._duration=e,this._mediaInfo.duration=e}set overridedHasAudio(e){this._hasAudioFlagOverrided=!0,this._hasAudio=e,this._mediaInfo.hasAudio=e}set overridedHasVideo(e){this._hasVideoFlagOverrided=!0,this._hasVideo=e,this._mediaInfo.hasVideo=e}resetMediaInfo(){this._mediaInfo=new Ue}_isInitialMetadataDispatched(){return this._hasAudio&&this._hasVideo?this._audioInitialMetadataDispatched&&this._videoInitialMetadataDispatched:this._hasAudio&&!this._hasVideo?this._audioInitialMetadataDispatched:!this._hasAudio&&this._hasVideo?this._videoInitialMetadataDispatched:!1}parseChunks(e,t){if(!this._onError||!this._onMediaInfo||!this._onTrackMetadata||!this._onDataAvailable)throw new E("Flv: onError & onMediaInfo & onTrackMetadata & onDataAvailable callback must be specified");let n=0,d=this._littleEndian;if(t===0)if(e.byteLength>13)n=o.probe(e).dataOffset;else return 0;for(this._firstParse&&(this._firstParse=!1,t+n!==this._dataOffset&&S.w(this.TAG,"First time parsing but chunk byteStart invalid!"),new DataView(e,n).getUint32(0,!d)!==0&&S.w(this.TAG,"PrevTagSize0 !== 0 !!!"),n+=4);ne.byteLength)break;let m=y.getUint8(0),v=y.getUint32(0,!d)&16777215;if(n+11+v+4>e.byteLength)break;if(m!==8&&m!==9&&m!==18){S.w(this.TAG,`Unsupported tag type ${m}, skipped`),n+=11+v+4;continue}let fe=y.getUint8(4),W=y.getUint8(5),Ee=y.getUint8(6),Ae=y.getUint8(7),Ze=Ee|W<<8|fe<<16|Ae<<24;(y.getUint32(7,!d)&16777215)!==0&&S.w(this.TAG,"Meet tag which has StreamID != 0!");let ke=n+11;switch(m){case 8:this._parseAudioData(e,ke,v,Ze);break;case 9:this._parseVideoData(e,ke,v,Ze,t+n);break;case 18:this._parseScriptData(e,ke,v);break}let Le=y.getUint32(11+v,!d);Le!==11+v&&S.w(this.TAG,`Invalid PrevTagSize ${Le}`),n+=11+v+4}return this._isInitialMetadataDispatched()&&this._dispatch&&(this._audioTrack.length||this._videoTrack.length)&&this._onDataAvailable(this._audioTrack,this._videoTrack),n}_parseScriptData(e,t,n){let d=rt.parseScriptData(e,t,n);if(d.hasOwnProperty("onMetaData")){if(d.onMetaData==null||typeof d.onMetaData!="object"){S.w(this.TAG,"Invalid onMetaData structure!");return}this._metadata&&S.w(this.TAG,"Found another onMetaData tag!"),this._metadata=d;let y=this._metadata.onMetaData;if(this._onMetaDataArrived&&this._onMetaDataArrived(Object.assign({},y)),typeof y.hasAudio=="boolean"&&this._hasAudioFlagOverrided===!1&&(this._hasAudio=y.hasAudio,this._mediaInfo.hasAudio=this._hasAudio),typeof y.hasVideo=="boolean"&&this._hasVideoFlagOverrided===!1&&(this._hasVideo=y.hasVideo,this._mediaInfo.hasVideo=this._hasVideo),typeof y.audiodatarate=="number"&&(this._mediaInfo.audioDataRate=y.audiodatarate),typeof y.videodatarate=="number"&&(this._mediaInfo.videoDataRate=y.videodatarate),typeof y.width=="number"&&(this._mediaInfo.width=y.width),typeof y.height=="number"&&(this._mediaInfo.height=y.height),typeof y.duration=="number"){if(!this._durationOverrided){let m=Math.floor(y.duration*this._timescale);this._duration=m,this._mediaInfo.duration=m}}else this._mediaInfo.duration=0;if(typeof y.framerate=="number"){let m=Math.floor(y.framerate*1e3);if(m>0){let v=m/1e3;this._referenceFrameRate.fixed=!0,this._referenceFrameRate.fps=v,this._referenceFrameRate.fps_num=m,this._referenceFrameRate.fps_den=1e3,this._mediaInfo.fps=v}}if(typeof y.keyframes=="object"){this._mediaInfo.hasKeyframesIndex=!0;let m=y.keyframes;this._mediaInfo.keyframesIndex=this._parseKeyframesIndex(m),y.keyframes=null}else this._mediaInfo.hasKeyframesIndex=!1;this._dispatch=!1,this._mediaInfo.metadata=y,S.v(this.TAG,"Parsed onMetaData"),this._mediaInfo.isComplete()&&this._onMediaInfo(this._mediaInfo)}Object.keys(d).length>0&&this._onScriptDataArrived&&this._onScriptDataArrived(Object.assign({},d))}_parseKeyframesIndex(e){let t=[],n=[];for(let d=1;d>>4;if(fe!==2&&fe!==10){this._onError(h.CODEC_UNSUPPORTED,"Flv: Unsupported audio codec idx: "+fe);return}let W=0,Ee=(v&12)>>>2;if(Ee>=0&&Ee<=4)W=this._flvSoundRateTable[Ee];else{this._onError(h.FORMAT_ERROR,"Flv: Invalid audio sample rate idx: "+Ee);return}let Ae=(v&2)>>>1,Ze=v&1,_e=this._audioMetadata,ke=this._audioTrack;if(_e||(this._hasAudio===!1&&this._hasAudioFlagOverrided===!1&&(this._hasAudio=!0,this._mediaInfo.hasAudio=!0),_e=this._audioMetadata={},_e.type="audio",_e.id=ke.id,_e.timescale=this._timescale,_e.duration=this._duration,_e.audioSampleRate=W,_e.channelCount=Ze===0?1:2),fe===10){let Le=this._parseAACAudioData(e,t+1,n-1);if(Le==null)return;if(Le.packetType===0){_e.config&&S.w(this.TAG,"Found another AudioSpecificConfig!");let pe=Le.data;_e.audioSampleRate=pe.samplingRate,_e.channelCount=pe.channelCount,_e.codec=pe.codec,_e.originalCodec=pe.originalCodec,_e.config=pe.config,_e.refSampleDuration=1024/_e.audioSampleRate*_e.timescale,S.v(this.TAG,"Parsed AudioSpecificConfig"),this._isInitialMetadataDispatched()?this._dispatch&&(this._audioTrack.length||this._videoTrack.length)&&this._onDataAvailable(this._audioTrack,this._videoTrack):this._audioInitialMetadataDispatched=!0,this._dispatch=!1,this._onTrackMetadata("audio",_e);let ye=this._mediaInfo;ye.audioCodec=_e.originalCodec,ye.audioSampleRate=_e.audioSampleRate,ye.audioChannelCount=_e.channelCount,ye.hasVideo?ye.videoCodec!=null&&(ye.mimeType='video/x-flv; codecs="'+ye.videoCodec+","+ye.audioCodec+'"'):ye.mimeType='video/x-flv; codecs="'+ye.audioCodec+'"',ye.isComplete()&&this._onMediaInfo(ye)}else if(Le.packetType===1){let pe=this._timestampBase+d,ye={unit:Le.data,length:Le.data.byteLength,dts:pe,pts:pe};ke.samples.push(ye),ke.length+=Le.data.length}else S.e(this.TAG,`Flv: Unsupported AAC data type ${Le.packetType}`)}else if(fe===2){if(!_e.codec){let ze=this._parseMP3AudioData(e,t+1,n-1,!0);if(ze==null)return;_e.audioSampleRate=ze.samplingRate,_e.channelCount=ze.channelCount,_e.codec=ze.codec,_e.originalCodec=ze.originalCodec,_e.refSampleDuration=1152/_e.audioSampleRate*_e.timescale,S.v(this.TAG,"Parsed MPEG Audio Frame Header"),this._audioInitialMetadataDispatched=!0,this._onTrackMetadata("audio",_e);let Oe=this._mediaInfo;Oe.audioCodec=_e.codec,Oe.audioSampleRate=_e.audioSampleRate,Oe.audioChannelCount=_e.channelCount,Oe.audioDataRate=ze.bitRate,Oe.hasVideo?Oe.videoCodec!=null&&(Oe.mimeType='video/x-flv; codecs="'+Oe.videoCodec+","+Oe.audioCodec+'"'):Oe.mimeType='video/x-flv; codecs="'+Oe.audioCodec+'"',Oe.isComplete()&&this._onMediaInfo(Oe)}let Le=this._parseMP3AudioData(e,t+1,n-1,!1);if(Le==null)return;let pe=this._timestampBase+d,ye={unit:Le,length:Le.byteLength,dts:pe,pts:pe};ke.samples.push(ye),ke.length+=Le.length}}_parseAACAudioData(e,t,n){if(n<=1){S.w(this.TAG,"Flv: Invalid AAC packet, missing AACPacketType or/and Data!");return}let d={},y=new Uint8Array(e,t,n);return d.packetType=y[0],y[0]===0?d.data=this._parseAACAudioSpecificConfig(e,t+1,n-1):d.data=y.subarray(1),d}_parseAACAudioSpecificConfig(e,t,n){let d=new Uint8Array(e,t,n),y=null,m=0,v=0,fe=null,W=0,Ee=null;if(m=v=d[0]>>>3,W=(d[0]&7)<<1|d[1]>>>7,W<0||W>=this._mpegSamplingRates.length){this._onError(h.FORMAT_ERROR,"Flv: AAC invalid sampling frequency index!");return}let Ae=this._mpegSamplingRates[W],Ze=(d[1]&120)>>>3;if(Ze<0||Ze>=8){this._onError(h.FORMAT_ERROR,"Flv: AAC invalid channel configuration");return}m===5&&(Ee=(d[1]&7)<<1|d[2]>>>7,fe=(d[2]&124)>>>2);let _e=self.navigator.userAgent.toLowerCase();return _e.indexOf("firefox")!==-1?W>=6?(m=5,y=new Array(4),Ee=W-3):(m=2,y=new Array(2),Ee=W):_e.indexOf("android")!==-1?(m=2,y=new Array(2),Ee=W):(m=5,Ee=W,y=new Array(4),W>=6?Ee=W-3:Ze===1&&(m=2,y=new Array(2),Ee=W)),y[0]=m<<3,y[0]|=(W&15)>>>1,y[1]=(W&15)<<7,y[1]|=(Ze&15)<<3,m===5&&(y[1]|=(Ee&15)>>>1,y[2]=(Ee&1)<<7,y[2]|=8,y[3]=0),{config:y,samplingRate:Ae,channelCount:Ze,codec:"mp4a.40."+m,originalCodec:"mp4a.40."+v}}_parseMP3AudioData(e,t,n,d){if(n<4){S.w(this.TAG,"Flv: Invalid MP3 packet, header missing!");return}let y=this._littleEndian,m=new Uint8Array(e,t,n),v=null;if(d){if(m[0]!==255)return;let fe=m[1]>>>3&3,W=(m[1]&6)>>1,Ee=(m[2]&240)>>>4,Ae=(m[2]&12)>>>2,_e=(m[3]>>>6&3)!==3?2:1,ke=0,Le=0,pe=34,ye="mp3";switch(fe){case 0:ke=this._mpegAudioV25SampleRateTable[Ae];break;case 2:ke=this._mpegAudioV20SampleRateTable[Ae];break;case 3:ke=this._mpegAudioV10SampleRateTable[Ae];break}switch(W){case 1:pe=34,Ee>>4,fe=m&15;if(fe!==7){this._onError(h.CODEC_UNSUPPORTED,`Flv: Unsupported codec in video frame: ${fe}`);return}this._parseAVCVideoPacket(e,t+1,n-1,d,y,v)}_parseAVCVideoPacket(e,t,n,d,y,m){if(n<4){S.w(this.TAG,"Flv: Invalid AVC packet, missing AVCPacketType or/and CompositionTime");return}let v=this._littleEndian,fe=new DataView(e,t,n),W=fe.getUint8(0),Ae=(fe.getUint32(0,!v)&16777215)<<8>>8;if(W===0)this._parseAVCDecoderConfigurationRecord(e,t+4,n-4);else if(W===1)this._parseAVCVideoData(e,t+4,n-4,d,y,m,Ae);else if(W!==2){this._onError(h.FORMAT_ERROR,`Flv: Invalid video packet type ${W}`);return}}_parseAVCDecoderConfigurationRecord(e,t,n){if(n<7){S.w(this.TAG,"Flv: Invalid AVCDecoderConfigurationRecord, lack of data!");return}let d=this._videoMetadata,y=this._videoTrack,m=this._littleEndian,v=new DataView(e,t,n);d?typeof d.avcc!="undefined"&&S.w(this.TAG,"Found another AVCDecoderConfigurationRecord!"):(this._hasVideo===!1&&this._hasVideoFlagOverrided===!1&&(this._hasVideo=!0,this._mediaInfo.hasVideo=!0),d=this._videoMetadata={},d.type="video",d.id=y.id,d.timescale=this._timescale,d.duration=this._duration);let fe=v.getUint8(0),W=v.getUint8(1),Ee=v.getUint8(2),Ae=v.getUint8(3);if(fe!==1||W===0){this._onError(h.FORMAT_ERROR,"Flv: Invalid AVCDecoderConfigurationRecord");return}if(this._naluLengthSize=(v.getUint8(4)&3)+1,this._naluLengthSize!==3&&this._naluLengthSize!==4){this._onError(h.FORMAT_ERROR,`Flv: Strange NaluLengthSizeMinusOne: ${this._naluLengthSize-1}`);return}let Ze=v.getUint8(5)&31;if(Ze===0){this._onError(h.FORMAT_ERROR,"Flv: Invalid AVCDecoderConfigurationRecord: No SPS");return}else Ze>1&&S.w(this.TAG,`Flv: Strange AVCDecoderConfigurationRecord: SPS Count = ${Ze}`);let _e=6;for(let Le=0;Le1&&S.w(this.TAG,`Flv: Strange AVCDecoderConfigurationRecord: PPS Count = ${ke}`);_e++;for(let Le=0;Le=n){S.w(this.TAG,`Malformed Nalu near timestamp ${ke}, offset = ${Ze}, dataSize = ${n}`);break}let pe=W.getUint32(Ze,!fe);if(_e===3&&(pe>>>=8),pe>n-_e){S.w(this.TAG,`Malformed Nalus near timestamp ${ke}, NaluSize > DataSize!`);return}let ye=W.getUint8(Ze+_e)&31;ye===5&&(Le=!0);let ze=new Uint8Array(e,t+Ze,_e+pe),Oe={type:ye,data:ze};Ee.push(Oe),Ae+=ze.byteLength,Ze+=_e+pe}if(Ee.length){let pe=this._videoTrack,ye={units:Ee,length:Ae,isKeyframe:Le,dts:ke,cts:v,pts:ke+v};Le&&(ye.fileposition=y),pe.samples.push(ye),pe.length+=Ae}}}var C=o;class l{static init(){l.types={avc1:[],avcC:[],btrt:[],dinf:[],dref:[],esds:[],ftyp:[],hdlr:[],mdat:[],mdhd:[],mdia:[],mfhd:[],minf:[],moof:[],moov:[],mp4a:[],mvex:[],mvhd:[],sdtp:[],stbl:[],stco:[],stsc:[],stsd:[],stsz:[],stts:[],tfdt:[],tfhd:[],traf:[],trak:[],trun:[],trex:[],tkhd:[],vmhd:[],smhd:[],".mp3":[]};for(let t in l.types)l.types.hasOwnProperty(t)&&(l.types[t]=[t.charCodeAt(0),t.charCodeAt(1),t.charCodeAt(2),t.charCodeAt(3)]);let e=l.constants={};e.FTYP=new Uint8Array([105,115,111,109,0,0,0,1,105,115,111,109,97,118,99,49]),e.STSD_PREFIX=new Uint8Array([0,0,0,0,0,0,0,1]),e.STTS=new Uint8Array([0,0,0,0,0,0,0,0]),e.STSC=e.STCO=e.STTS,e.STSZ=new Uint8Array([0,0,0,0,0,0,0,0,0,0,0,0]),e.HDLR_VIDEO=new Uint8Array([0,0,0,0,0,0,0,0,118,105,100,101,0,0,0,0,0,0,0,0,0,0,0,0,86,105,100,101,111,72,97,110,100,108,101,114,0]),e.HDLR_AUDIO=new Uint8Array([0,0,0,0,0,0,0,0,115,111,117,110,0,0,0,0,0,0,0,0,0,0,0,0,83,111,117,110,100,72,97,110,100,108,101,114,0]),e.DREF=new Uint8Array([0,0,0,0,0,0,0,1,0,0,0,12,117,114,108,32,0,0,0,1]),e.SMHD=new Uint8Array([0,0,0,0,0,0,0,0]),e.VMHD=new Uint8Array([0,0,0,1,0,0,0,0,0,0,0,0])}static box(e){let t=8,n=null,d=Array.prototype.slice.call(arguments,1),y=d.length;for(let v=0;v>>24&255,n[1]=t>>>16&255,n[2]=t>>>8&255,n[3]=t&255,n.set(e,4);let m=8;for(let v=0;v>>24&255,e>>>16&255,e>>>8&255,e&255,t>>>24&255,t>>>16&255,t>>>8&255,t&255,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,64,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,255,255,255,255]))}static trak(e){return l.box(l.types.trak,l.tkhd(e),l.mdia(e))}static tkhd(e){let t=e.id,n=e.duration,d=e.presentWidth,y=e.presentHeight;return l.box(l.types.tkhd,new Uint8Array([0,0,0,7,0,0,0,0,0,0,0,0,t>>>24&255,t>>>16&255,t>>>8&255,t&255,0,0,0,0,n>>>24&255,n>>>16&255,n>>>8&255,n&255,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,64,0,0,0,d>>>8&255,d&255,0,0,y>>>8&255,y&255,0,0]))}static mdia(e){return l.box(l.types.mdia,l.mdhd(e),l.hdlr(e),l.minf(e))}static mdhd(e){let t=e.timescale,n=e.duration;return l.box(l.types.mdhd,new Uint8Array([0,0,0,0,0,0,0,0,0,0,0,0,t>>>24&255,t>>>16&255,t>>>8&255,t&255,n>>>24&255,n>>>16&255,n>>>8&255,n&255,85,196,0,0]))}static hdlr(e){let t=null;return e.type==="audio"?t=l.constants.HDLR_AUDIO:t=l.constants.HDLR_VIDEO,l.box(l.types.hdlr,t)}static minf(e){let t=null;return e.type==="audio"?t=l.box(l.types.smhd,l.constants.SMHD):t=l.box(l.types.vmhd,l.constants.VMHD),l.box(l.types.minf,t,l.dinf(),l.stbl(e))}static dinf(){return l.box(l.types.dinf,l.box(l.types.dref,l.constants.DREF))}static stbl(e){return l.box(l.types.stbl,l.stsd(e),l.box(l.types.stts,l.constants.STTS),l.box(l.types.stsc,l.constants.STSC),l.box(l.types.stsz,l.constants.STSZ),l.box(l.types.stco,l.constants.STCO))}static stsd(e){return e.type==="audio"?e.codec==="mp3"?l.box(l.types.stsd,l.constants.STSD_PREFIX,l.mp3(e)):l.box(l.types.stsd,l.constants.STSD_PREFIX,l.mp4a(e)):l.box(l.types.stsd,l.constants.STSD_PREFIX,l.avc1(e))}static mp3(e){let t=e.channelCount,n=e.audioSampleRate,d=new Uint8Array([0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,t,0,16,0,0,0,0,n>>>8&255,n&255,0,0]);return l.box(l.types[".mp3"],d)}static mp4a(e){let t=e.channelCount,n=e.audioSampleRate,d=new Uint8Array([0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,t,0,16,0,0,0,0,n>>>8&255,n&255,0,0]);return l.box(l.types.mp4a,d,l.esds(e))}static esds(e){let t=e.config||[],n=t.length,d=new Uint8Array([0,0,0,0,3,23+n,0,1,0,4,15+n,64,21,0,0,0,0,0,0,0,0,0,0,0,5].concat([n]).concat(t).concat([6,1,2]));return l.box(l.types.esds,d)}static avc1(e){let t=e.avcc,n=e.codecWidth,d=e.codecHeight,y=new Uint8Array([0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,n>>>8&255,n&255,d>>>8&255,d&255,0,72,0,0,0,72,0,0,0,0,0,0,0,1,10,120,113,113,47,102,108,118,46,106,115,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,24,255,255]);return l.box(l.types.avc1,y,l.box(l.types.avcC,t))}static mvex(e){return l.box(l.types.mvex,l.trex(e))}static trex(e){let t=e.id,n=new Uint8Array([0,0,0,0,t>>>24&255,t>>>16&255,t>>>8&255,t&255,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,1]);return l.box(l.types.trex,n)}static moof(e,t){return l.box(l.types.moof,l.mfhd(e.sequenceNumber),l.traf(e,t))}static mfhd(e){let t=new Uint8Array([0,0,0,0,e>>>24&255,e>>>16&255,e>>>8&255,e&255]);return l.box(l.types.mfhd,t)}static traf(e,t){let n=e.id,d=l.box(l.types.tfhd,new Uint8Array([0,0,0,0,n>>>24&255,n>>>16&255,n>>>8&255,n&255])),y=l.box(l.types.tfdt,new Uint8Array([0,0,0,0,t>>>24&255,t>>>16&255,t>>>8&255,t&255])),m=l.sdtp(e),v=l.trun(e,m.byteLength+16+16+8+16+8+8);return l.box(l.types.traf,d,y,v,m)}static sdtp(e){let t=e.samples||[],n=t.length,d=new Uint8Array(4+n);for(let y=0;y>>24&255,d>>>16&255,d>>>8&255,d&255,t>>>24&255,t>>>16&255,t>>>8&255,t&255],0);for(let v=0;v>>24&255,fe>>>16&255,fe>>>8&255,fe&255,W>>>24&255,W>>>16&255,W>>>8&255,W&255,Ee.isLeading<<2|Ee.dependsOn,Ee.isDependedOn<<6|Ee.hasRedundancy<<4|Ee.isNonSync,0,0,Ae>>>24&255,Ae>>>16&255,Ae>>>8&255,Ae&255],12+16*v)}return l.box(l.types.trun,m)}static mdat(e){return l.box(l.types.mdat,e)}}l.init();var g=l;class ${static getSilentFrame(e,t){if(e==="mp4a.40.2"){if(t===1)return new Uint8Array([0,200,0,128,35,128]);if(t===2)return new Uint8Array([33,0,73,144,2,25,0,35,128]);if(t===3)return new Uint8Array([0,200,0,128,32,132,1,38,64,8,100,0,142]);if(t===4)return new Uint8Array([0,200,0,128,32,132,1,38,64,8,100,0,128,44,128,8,2,56]);if(t===5)return new Uint8Array([0,200,0,128,32,132,1,38,64,8,100,0,130,48,4,153,0,33,144,2,56]);if(t===6)return new Uint8Array([0,200,0,128,32,132,1,38,64,8,100,0,130,48,4,153,0,33,144,2,0,178,0,32,8,224])}else{if(t===1)return new Uint8Array([1,64,34,128,163,78,230,128,186,8,0,0,0,28,6,241,193,10,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,94]);if(t===2)return new Uint8Array([1,64,34,128,163,94,230,128,186,8,0,0,0,0,149,0,6,241,161,10,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,94]);if(t===3)return new Uint8Array([1,64,34,128,163,94,230,128,186,8,0,0,0,0,149,0,6,241,161,10,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,94])}return null}}var ne=$;class Q{constructor(e,t,n,d,y){this.dts=e,this.pts=t,this.duration=n,this.originalDts=d,this.isSyncPoint=y,this.fileposition=null}}class de{constructor(){this.beginDts=0,this.endDts=0,this.beginPts=0,this.endPts=0,this.originalBeginDts=0,this.originalEndDts=0,this.syncPoints=[],this.firstSample=null,this.lastSample=null}appendSyncPoint(e){e.isSyncPoint=!0,this.syncPoints.push(e)}}class J{constructor(){this._list=[]}clear(){this._list=[]}appendArray(e){let t=this._list;e.length!==0&&(t.length>0&&e[0].originalDts=t[y].dts&&et[d].lastSample.originalDts&&e=t[d].lastSample.originalDts&&(d===t.length-1||d0&&(y=this._searchNearestSegmentBefore(n.originalBeginDts)+1),this._lastAppendLocation=y,this._list.splice(y,0,n)}getLastSegmentBefore(e){let t=this._searchNearestSegmentBefore(e);return t>=0?this._list[t]:null}getLastSampleBefore(e){let t=this.getLastSegmentBefore(e);return t!=null?t.lastSample:null}getLastSyncPointBefore(e){let t=this._searchNearestSegmentBefore(e),n=this._list[t].syncPoints;for(;n.length===0&&t>0;)t--,n=this._list[t].syncPoints;return n.length>0?n[n.length-1]:null}}class X{constructor(e){this.TAG="MP4Remuxer",this._config=e,this._isLive=e.isLive===!0,this._dtsBase=-1,this._dtsBaseInited=!1,this._audioDtsBase=1/0,this._videoDtsBase=1/0,this._audioNextDts=void 0,this._videoNextDts=void 0,this._audioStashedLastSample=null,this._videoStashedLastSample=null,this._audioMeta=null,this._videoMeta=null,this._audioSegmentInfoList=new oe("audio"),this._videoSegmentInfoList=new oe("video"),this._onInitSegment=null,this._onMediaSegment=null,this._forceFirstIDR=!!(w.chrome&&(w.version.major<50||w.version.major===50&&w.version.build<2661)),this._fillSilentAfterSeek=w.msedge||w.msie,this._mp3UseMpegAudio=!w.firefox,this._fillAudioTimestampGap=this._config.fixAudioTimestampGap}destroy(){this._dtsBase=-1,this._dtsBaseInited=!1,this._audioMeta=null,this._videoMeta=null,this._audioSegmentInfoList.clear(),this._audioSegmentInfoList=null,this._videoSegmentInfoList.clear(),this._videoSegmentInfoList=null,this._onInitSegment=null,this._onMediaSegment=null}bindDataSource(e){return e.onDataAvailable=this.remux.bind(this),e.onTrackMetadata=this._onTrackMetadataReceived.bind(this),this}get onInitSegment(){return this._onInitSegment}set onInitSegment(e){this._onInitSegment=e}get onMediaSegment(){return this._onMediaSegment}set onMediaSegment(e){this._onMediaSegment=e}insertDiscontinuity(){this._audioNextDts=this._videoNextDts=void 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onComplete(e){this._onComplete=e}open(e,t){throw new L("Unimplemented abstract function!")}abort(){throw new L("Unimplemented abstract function!")}}let B={};function z(){let Ke=self.navigator.userAgent.toLowerCase(),e=/(edge)\/([\w.]+)/.exec(Ke)||/(opr)[\/]([\w.]+)/.exec(Ke)||/(chrome)[ \/]([\w.]+)/.exec(Ke)||/(iemobile)[\/]([\w.]+)/.exec(Ke)||/(version)(applewebkit)[ \/]([\w.]+).*(safari)[ \/]([\w.]+)/.exec(Ke)||/(webkit)[ \/]([\w.]+).*(version)[ \/]([\w.]+).*(safari)[ \/]([\w.]+)/.exec(Ke)||/(webkit)[ \/]([\w.]+)/.exec(Ke)||/(opera)(?:.*version|)[ \/]([\w.]+)/.exec(Ke)||/(msie) ([\w.]+)/.exec(Ke)||Ke.indexOf("trident")>=0&&/(rv)(?::| )([\w.]+)/.exec(Ke)||Ke.indexOf("compatible")<0&&/(firefox)[ \/]([\w.]+)/.exec(Ke)||[],t=/(ipad)/.exec(Ke)||/(ipod)/.exec(Ke)||/(windows phone)/.exec(Ke)||/(iphone)/.exec(Ke)||/(kindle)/.exec(Ke)||/(android)/.exec(Ke)||/(windows)/.exec(Ke)||/(mac)/.exec(Ke)||/(linux)/.exec(Ke)||/(cros)/.exec(Ke)||[],n={browser:e[5]||e[3]||e[1]||"",version:e[2]||e[4]||"0",majorVersion:e[4]||e[2]||"0",platform:t[0]||""},d={};if(n.browser){d[n.browser]=!0;let y=n.majorVersion.split(".");d.version={major:parseInt(n.majorVersion,10),string:n.version},y.length>1&&(d.version.minor=parseInt(y[1],10)),y.length>2&&(d.version.build=parseInt(y[2],10))}if(n.platform&&(d[n.platform]=!0),(d.chrome||d.opr||d.safari)&&(d.webkit=!0),d.rv||d.iemobile){d.rv&&delete d.rv;let y="msie";n.browser=y,d[y]=!0}if(d.edge){delete d.edge;let y="msedge";n.browser=y,d[y]=!0}if(d.opr){let y="opera";n.browser=y,d[y]=!0}if(d.safari&&d.android){let y="android";n.browser=y,d[y]=!0}d.name=n.browser,d.platform=n.platform;for(let y in B)B.hasOwnProperty(y)&&delete B[y];Object.assign(B,d)}z();var w=B;class A extends k{static isSupported(){try{let e=w.msedge&&w.version.minor>=15048,t=w.msedge?e:!0;return self.fetch&&self.ReadableStream&&t}catch(e){return!1}}constructor(e,t){super("fetch-stream-loader"),this.TAG="FetchStreamLoader",this._seekHandler=e,this._config=t,this._needStash=!0,this._requestAbort=!1,this._contentLength=null,this._receivedLength=0}destroy(){this.isWorking()&&this.abort(),super.destroy()}open(e,t){this._dataSource=e,this._range=t;let n=e.url;this._config.reuseRedirectedURL&&e.redirectedURL!=null&&(n=e.redirectedURL);let d=this._seekHandler.getConfig(n,t),y=new self.Headers;if(typeof d.headers=="object"){let v=d.headers;for(let fe in v)v.hasOwnProperty(fe)&&y.append(fe,v[fe])}let m={method:"GET",headers:y,mode:"cors",cache:"default",referrerPolicy:"no-referrer-when-downgrade"};if(typeof this._config.headers=="object")for(let v in this._config.headers)y.append(v,this._config.headers[v]);e.cors===!1&&(m.mode="same-origin"),e.withCredentials&&(m.credentials="include"),e.referrerPolicy&&(m.referrerPolicy=e.referrerPolicy),this._status=_.kConnecting,self.fetch(d.url,m).then(v=>{if(this._requestAbort){this._requestAbort=!1,this._status=_.kIdle;return}if(v.ok&&v.status>=200&&v.status<=299){if(v.url!==d.url&&this._onURLRedirect){let W=this._seekHandler.removeURLParameters(v.url);this._onURLRedirect(W)}let fe=v.headers.get("Content-Length");return fe!=null&&(this._contentLength=parseInt(fe),this._contentLength!==0&&this._onContentLengthKnown&&this._onContentLengthKnown(this._contentLength)),this._pump.call(this,v.body.getReader())}else if(this._status=_.kError,this._onError)this._onError(j.HTTP_STATUS_CODE_INVALID,{code:v.status,msg:v.statusText});else throw new Y("FetchStreamLoader: Http code invalid, "+v.status+" "+v.statusText)}).catch(v=>{if(this._status=_.kError,this._onError)this._onError(j.EXCEPTION,{code:-1,msg:v.message});else throw v})}abort(){this._requestAbort=!0}_pump(e){return e.read().then(t=>{if(t.done)if(this._contentLength!==null&&this._receivedLength{if(t.code===11&&w.msedge)return;this._status=_.kError;let n=0,d=null;if((t.code===19||t.message==="network error")&&(this._contentLength===null||this._contentLength!==null&&this._receivedLength299))if(this._status=_.kError,this._onError)this._onError(j.HTTP_STATUS_CODE_INVALID,{code:t.status,msg:t.statusText});else throw new Y("MozChunkedLoader: Http code invalid, "+t.status+" "+t.statusText);else this._status=_.kBuffering}}_onProgress(e){if(this._status===_.kError)return;this._contentLength===null&&e.total!==null&&e.total!==0&&(this._contentLength=e.total,this._onContentLengthKnown&&this._onContentLengthKnown(this._contentLength));let t=e.target.response,n=this._range.from+this._receivedLength;this._receivedLength+=t.byteLength,this._onDataArrival&&this._onDataArrival(t,n,this._receivedLength)}_onLoadEnd(e){if(this._requestAbort===!0){this._requestAbort=!1;return}else if(this._status===_.kError)return;this._status=_.kComplete,this._onComplete&&this._onComplete(this._range.from,this._range.from+this._receivedLength-1)}_onXhrError(e){this._status=_.kError;let t=0,n=null;if(this._contentLength&&e.loaded=200&&t.status<=299){if(this._status=LoaderStatus.kBuffering,t.responseURL!=null){let d=this._seekHandler.removeURLParameters(t.responseURL);t.responseURL!==this._currentRequestURL&&d!==this._currentRedirectedURL&&(this._currentRedirectedURL=d,this._onURLRedirect&&this._onURLRedirect(d))}let n=t.getResponseHeader("Content-Length");if(n!=null&&this._contentLength==null){let d=parseInt(n);d>0&&(this._contentLength=d,this._onContentLengthKnown&&this._onContentLengthKnown(this._contentLength))}}else if(this._status=LoaderStatus.kError,this._onError)this._onError(LoaderErrors.HTTP_STATUS_CODE_INVALID,{code:t.status,msg:t.statusText});else throw new RuntimeException("MSStreamLoader: Http code invalid, "+t.status+" "+t.statusText);else if(t.readyState===3&&t.status>=200&&t.status<=299){this._status=LoaderStatus.kBuffering;let n=t.response;this._reader.readAsArrayBuffer(n)}}_xhrOnError(e){this._status=LoaderStatus.kError;let t=LoaderErrors.EXCEPTION,n={code:-1,msg:e.constructor.name+" "+e.type};if(this._onError)this._onError(t,n);else throw new RuntimeException(n.msg)}_msrOnProgress(e){let n=e.target.result;if(n==null){this._doReconnectIfNeeded();return}let d=n.slice(this._lastTimeBufferSize);this._lastTimeBufferSize=n.byteLength;let y=this._totalRange.from+this._receivedLength;this._receivedLength+=d.byteLength,this._onDataArrival&&this._onDataArrival(d,y,this._receivedLength),n.byteLength>=this._bufferLimit&&(Log.v(this.TAG,`MSStream buffer exceeded max size near ${y+d.byteLength}, reconnecting...`),this._doReconnectIfNeeded())}_doReconnectIfNeeded(){if(this._contentLength==null||this._receivedLength=this._contentLength&&(n=this._range.from+this._contentLength-1),this._currentRequestRange={from:t,to:n},this._internalOpen(this._dataSource,this._currentRequestRange)}_internalOpen(e,t){this._lastTimeLoaded=0;let n=e.url;this._config.reuseRedirectedURL&&(this._currentRedirectedURL!=null?n=this._currentRedirectedURL:e.redirectedURL!=null&&(n=e.redirectedURL));let d=this._seekHandler.getConfig(n,t);this._currentRequestURL=d.url;let y=this._xhr=new XMLHttpRequest;if(y.open("GET",d.url,!0),y.responseType="arraybuffer",y.onreadystatechange=this._onReadyStateChange.bind(this),y.onprogress=this._onProgress.bind(this),y.onload=this._onLoad.bind(this),y.onerror=this._onXhrError.bind(this),e.withCredentials&&(y.withCredentials=!0),typeof d.headers=="object"){let m=d.headers;for(let v in m)m.hasOwnProperty(v)&&y.setRequestHeader(v,m[v])}if(typeof this._config.headers=="object"){let m=this._config.headers;for(let v in m)m.hasOwnProperty(v)&&y.setRequestHeader(v,m[v])}y.send()}abort(){this._requestAbort=!0,this._internalAbort(),this._status=_.kComplete}_internalAbort(){this._xhr&&(this._xhr.onreadystatechange=null,this._xhr.onprogress=null,this._xhr.onload=null,this._xhr.onerror=null,this._xhr.abort(),this._xhr=null)}_onReadyStateChange(e){let t=e.target;if(t.readyState===2){if(t.responseURL!=null){let n=this._seekHandler.removeURLParameters(t.responseURL);t.responseURL!==this._currentRequestURL&&n!==this._currentRedirectedURL&&(this._currentRedirectedURL=n,this._onURLRedirect&&this._onURLRedirect(n))}if(t.status>=200&&t.status<=299){if(this._waitForTotalLength)return;this._status=_.kBuffering}else if(this._status=_.kError,this._onError)this._onError(j.HTTP_STATUS_CODE_INVALID,{code:t.status,msg:t.statusText});else throw new Y("RangeLoader: Http code invalid, "+t.status+" "+t.statusText)}}_onProgress(e){if(this._status===_.kError)return;if(this._contentLength===null){let n=!1;if(this._waitForTotalLength){this._waitForTotalLength=!1,this._totalLengthReceived=!0,n=!0;let d=e.total;this._internalAbort(),d!=null&d!==0&&(this._totalLength=d)}if(this._range.to===-1?this._contentLength=this._totalLength-this._range.from:this._contentLength=this._range.to-this._range.from+1,n){this._openSubRange();return}this._onContentLengthKnown&&this._onContentLengthKnown(this._contentLength)}let t=e.loaded-this._lastTimeLoaded;this._lastTimeLoaded=e.loaded,this._speedSampler.addBytes(t)}_normalizeSpeed(e){let t=this._chunkSizeKBList,n=t.length-1,d=0,y=0,m=n;if(e=t[d]&&e=3&&(t=this._speedSampler.currentKBps)),t!==0){let m=this._normalizeSpeed(t);this._currentSpeedNormalized!==m&&(this._currentSpeedNormalized=m,this._currentChunkSizeKB=m)}let n=e.target.response,d=this._range.from+this._receivedLength;this._receivedLength+=n.byteLength;let y=!1;this._contentLength!=null&&this._receivedLength0&&this._receivedLength{this._dispatchArrayBuffer(t.result)},t.readAsArrayBuffer(e.data)}else{this._status=_.kError;let t={code:-1,msg:"Unsupported WebSocket message type: "+e.data.constructor.name};if(this._onError)this._onError(j.EXCEPTION,t);else throw new Y(t.msg)}}_dispatchArrayBuffer(e){let t=e,n=this._receivedLength;this._receivedLength+=t.byteLength,this._onDataArrival&&this._onDataArrival(t,n,this._receivedLength)}_onWebSocketError(e){this._status=_.kError;let t={code:e.code,msg:e.message};if(this._onError)this._onError(j.EXCEPTION,t);else throw new Y(t.msg)}}var ie=F;class M{constructor(e){this._zeroStart=e||!1}getConfig(e,t){let n={};if(t.from!==0||t.to!==-1){let d;t.to!==-1?d=`bytes=${t.from.toString()}-${t.to.toString()}`:d=`bytes=${t.from.toString()}-`,n.Range=d}else this._zeroStart&&(n.Range="bytes=0-");return{url:e,headers:n}}removeURLParameters(e){return e}}var ce=M;class H{constructor(e,t){this._startName=e,this._endName=t}getConfig(e,t){let n=e;if(t.from!==0||t.to!==-1){let d=!0;n.indexOf("?")===-1&&(n+="?",d=!1),d&&(n+="&"),n+=`${this._startName}=${t.from.toString()}`,t.to!==-1&&(n+=`&${this._endName}=${t.to.toString()}`)}return{url:n,headers:{}}}removeURLParameters(e){let t=e.split("?")[0],n,d=e.indexOf("?");d!==-1&&(n=e.substring(d+1));let y="";if(n!=null&&n.length>0){let m=n.split("&");for(let v=0;v0;fe[0]!==this._startName&&fe[0]!==this._endName&&(W&&(y+="&"),y+=m[v])}}return y.length===0?t:t+"?"+y}}var be=H;class T{constructor(e,t,n){this.TAG="IOController",this._config=t,this._extraData=n,this._stashInitialSize=1024*384,t.stashInitialSize!=null&&t.stashInitialSize>0&&(this._stashInitialSize=t.stashInitialSize),this._stashUsed=0,this._stashSize=this._stashInitialSize,this._bufferSize=1024*1024*3,this._stashBuffer=new ArrayBuffer(this._bufferSize),this._stashByteStart=0,this._enableStash=!0,t.enableStashBuffer===!1&&(this._enableStash=!1),this._loader=null,this._loaderClass=null,this._seekHandler=null,this._dataSource=e,this._isWebSocketURL=/wss?:\/\/(.+?)/.test(e.url),this._refTotalLength=e.filesize?e.filesize:null,this._totalLength=this._refTotalLength,this._fullRequestFlag=!1,this._currentRange=null,this._redirectedURL=null,this._speedNormalized=0,this._speedSampler=new te,this._speedNormalizeList=[64,128,256,384,512,768,1024,1536,2048,3072,4096],this._isEarlyEofReconnecting=!1,this._paused=!1,this._resumeFrom=0,this._onDataArrival=null,this._onSeeked=null,this._onError=null,this._onComplete=null,this._onRedirect=null,this._onRecoveredEarlyEof=null,this._selectSeekHandler(),this._selectLoader(),this._createLoader()}destroy(){this._loader.isWorking()&&this._loader.abort(),this._loader.destroy(),this._loader=null,this._loaderClass=null,this._dataSource=null,this._stashBuffer=null,this._stashUsed=this._stashSize=this._bufferSize=this._stashByteStart=0,this._currentRange=null,this._speedSampler=null,this._isEarlyEofReconnecting=!1,this._onDataArrival=null,this._onSeeked=null,this._onError=null,this._onComplete=null,this._onRedirect=null,this._onRecoveredEarlyEof=null,this._extraData=null}isWorking(){return this._loader&&this._loader.isWorking()&&!this._paused}isPaused(){return this._paused}get status(){return this._loader.status}get extraData(){return this._extraData}set extraData(e){this._extraData=e}get onDataArrival(){return this._onDataArrival}set onDataArrival(e){this._onDataArrival=e}get onSeeked(){return this._onSeeked}set onSeeked(e){this._onSeeked=e}get onError(){return this._onError}set onError(e){this._onError=e}get onComplete(){return this._onComplete}set onComplete(e){this._onComplete=e}get onRedirect(){return this._onRedirect}set onRedirect(e){this._onRedirect=e}get onRecoveredEarlyEof(){return this._onRecoveredEarlyEof}set onRecoveredEarlyEof(e){this._onRecoveredEarlyEof=e}get currentURL(){return this._dataSource.url}get hasRedirect(){return this._redirectedURL!=null||this._dataSource.redirectedURL!=null}get currentRedirectedURL(){return this._redirectedURL||this._dataSource.redirectedURL}get currentSpeed(){return this._loaderClass===N?this._loader.currentSpeed:this._speedSampler.lastSecondKBps}get loaderType(){return this._loader.type}_selectSeekHandler(){let e=this._config;if(e.seekType==="range")this._seekHandler=new ce(this._config.rangeLoadZeroStart);else if(e.seekType==="param"){let t=e.seekParamStart||"bstart",n=e.seekParamEnd||"bend";this._seekHandler=new be(t,n)}else if(e.seekType==="custom"){if(typeof e.customSeekHandler!="function")throw new ue("Custom seekType specified in config but invalid customSeekHandler!");this._seekHandler=new e.customSeekHandler}else throw new ue(`Invalid seekType in config: ${e.seekType}`)}_selectLoader(){if(this._config.customLoader!=null)this._loaderClass=this._config.customLoader;else if(this._isWebSocketURL)this._loaderClass=ie;else if(I.isSupported())this._loaderClass=I;else if(c.isSupported())this._loaderClass=c;else if(N.isSupported())this._loaderClass=N;else throw new Y("Your browser doesn't support xhr with arraybuffer responseType!")}_createLoader(){this._loader=new this._loaderClass(this._seekHandler,this._config),this._loader.needStashBuffer===!1&&(this._enableStash=!1),this._loader.onContentLengthKnown=this._onContentLengthKnown.bind(this),this._loader.onURLRedirect=this._onURLRedirect.bind(this),this._loader.onDataArrival=this._onLoaderChunkArrival.bind(this),this._loader.onComplete=this._onLoaderComplete.bind(this),this._loader.onError=this._onLoaderError.bind(this)}open(e){this._currentRange={from:0,to:-1},e&&(this._currentRange.from=e),this._speedSampler.reset(),e||(this._fullRequestFlag=!0),this._loader.open(this._dataSource,Object.assign({},this._currentRange))}abort(){this._loader.abort(),this._paused&&(this._paused=!1,this._resumeFrom=0)}pause(){this.isWorking()&&(this._loader.abort(),this._stashUsed!==0?(this._resumeFrom=this._stashByteStart,this._currentRange.to=this._stashByteStart-1):this._resumeFrom=this._currentRange.to+1,this._stashUsed=0,this._stashByteStart=0,this._paused=!0)}resume(){if(this._paused){this._paused=!1;let e=this._resumeFrom;this._resumeFrom=0,this._internalSeek(e,!0)}}seek(e){this._paused=!1,this._stashUsed=0,this._stashByteStart=0,this._internalSeek(e,!0)}_internalSeek(e,t){this._loader.isWorking()&&this._loader.abort(),this._flushStashBuffer(t),this._loader.destroy(),this._loader=null;let n={from:e,to:-1};this._currentRange={from:n.from,to:-1},this._speedSampler.reset(),this._stashSize=this._stashInitialSize,this._createLoader(),this._loader.open(this._dataSource,n),this._onSeeked&&this._onSeeked()}updateUrl(e){if(!e||typeof e!="string"||e.length===0)throw new ue("Url must be a non-empty string!");this._dataSource.url=e}_expandBuffer(e){let t=this._stashSize;for(;t+1024*1024*10){let d=new Uint8Array(this._stashBuffer,0,this._stashUsed);new Uint8Array(n,0,t).set(d,0)}this._stashBuffer=n,this._bufferSize=t}_normalizeSpeed(e){let t=this._speedNormalizeList,n=t.length-1,d=0,y=0,m=n;if(e=t[d]&&e=512&&e<=1024?t=Math.floor(e*1.5):t=e*2,t>8192&&(t=8192);let n=t*1024+1024*1024*1;this._bufferSize0){let m=this._stashBuffer.slice(0,this._stashUsed),v=this._dispatchChunks(m,this._stashByteStart);if(v0){let fe=new Uint8Array(m,v);y.set(fe,0),this._stashUsed=fe.byteLength,this._stashByteStart+=v}}else this._stashUsed=0,this._stashByteStart+=v;this._stashUsed+e.byteLength>this._bufferSize&&(this._expandBuffer(this._stashUsed+e.byteLength),y=new Uint8Array(this._stashBuffer,0,this._bufferSize)),y.set(new Uint8Array(e),this._stashUsed),this._stashUsed+=e.byteLength}else{let m=this._dispatchChunks(e,t);if(mthis._bufferSize&&(this._expandBuffer(v),y=new Uint8Array(this._stashBuffer,0,this._bufferSize)),y.set(new Uint8Array(e,m),0),this._stashUsed+=v,this._stashByteStart=t+m}}}else if(this._stashUsed===0){let y=this._dispatchChunks(e,t);if(ythis._bufferSize&&this._expandBuffer(m),new Uint8Array(this._stashBuffer,0,this._bufferSize).set(new Uint8Array(e,y),0),this._stashUsed+=m,this._stashByteStart=t+y}}else{this._stashUsed+e.byteLength>this._bufferSize&&this._expandBuffer(this._stashUsed+e.byteLength);let y=new Uint8Array(this._stashBuffer,0,this._bufferSize);y.set(new Uint8Array(e),this._stashUsed),this._stashUsed+=e.byteLength;let m=this._dispatchChunks(this._stashBuffer.slice(0,this._stashUsed),this._stashByteStart);if(m0){let v=new Uint8Array(this._stashBuffer,m);y.set(v,0)}this._stashUsed-=m,this._stashByteStart+=m}}_flushStashBuffer(e){if(this._stashUsed>0){let t=this._stashBuffer.slice(0,this._stashUsed),n=this._dispatchChunks(t,this._stashByteStart),d=t.byteLength-n;if(n0){let y=new Uint8Array(this._stashBuffer,0,this._bufferSize),m=new Uint8Array(t,n);y.set(m,0),this._stashUsed=m.byteLength,this._stashByteStart+=n}return 0}return this._stashUsed=0,this._stashByteStart=0,d}return 0}_onLoaderComplete(e,t){this._flushStashBuffer(!0),this._onComplete&&this._onComplete(this._extraData)}_onLoaderError(e,t){switch(S.e(this.TAG,`Loader error, code = ${t.code}, msg = ${t.msg}`),this._flushStashBuffer(!1),this._isEarlyEofReconnecting&&(this._isEarlyEofReconnecting=!1,e=j.UNRECOVERABLE_EARLY_EOF),e){case j.EARLY_EOF:{if(!this._config.isLive&&this._totalLength){let n=this._currentRange.to+1;n0){let t=Re.getConfig();e.emit("change",t)}}static registerListener(e){Re.emitter.addListener("change",e)}static removeListener(e){Re.emitter.removeListener("change",e)}static addLogListener(e){S.emitter.addListener("log",e),S.emitter.listenerCount("log")>0&&(S.ENABLE_CALLBACK=!0,Re._notifyChange())}static removeLogListener(e){S.emitter.removeListener("log",e),S.emitter.listenerCount("log")===0&&(S.ENABLE_CALLBACK=!1,Re._notifyChange())}}Re.emitter=new(Z());var Ne=Re;class xe{constructor(){this.mimeType=null,this.duration=null,this.hasAudio=null,this.hasVideo=null,this.audioCodec=null,this.videoCodec=null,this.audioDataRate=null,this.videoDataRate=null,this.audioSampleRate=null,this.audioChannelCount=null,this.width=null,this.height=null,this.fps=null,this.profile=null,this.level=null,this.refFrames=null,this.chromaFormat=null,this.sarNum=null,this.sarDen=null,this.metadata=null,this.segments=null,this.segmentCount=null,this.hasKeyframesIndex=null,this.keyframesIndex=null}isComplete(){let e=this.hasAudio===!1||this.hasAudio===!0&&this.audioCodec!=null&&this.audioSampleRate!=null&&this.audioChannelCount!=null,t=this.hasVideo===!1||this.hasVideo===!0&&this.videoCodec!=null&&this.width!=null&&this.height!=null&&this.fps!=null&&this.profile!=null&&this.level!=null&&this.refFrames!=null&&this.chromaFormat!=null&&this.sarNum!=null&&this.sarDen!=null;return this.mimeType!=null&&this.duration!=null&&this.metadata!=null&&this.hasKeyframesIndex!=null&&e&&t}isSeekable(){return this.hasKeyframesIndex===!0}getNearestKeyframe(e){if(this.keyframesIndex==null)return null;let t=this.keyframesIndex,n=this._search(t.times,e);return{index:n,milliseconds:t.times[n],fileposition:t.filepositions[n]}}_search(e,t){let n=0,d=e.length-1,y=0,m=0,v=d;for(t=e[y]&&t=128){e.push(String.fromCharCode(y&65535)),n+=2;continue}}}else if(t[n]<240){if(tt(t,n,2)){let y=(t[n]&15)<<12|(t[n+1]&63)<<6|t[n+2]&63;if(y>=2048&&(y&63488)!==55296){e.push(String.fromCharCode(y&65535)),n+=3;continue}}}else if(t[n]<248&&tt(t,n,3)){let y=(t[n]&7)<<18|(t[n+1]&63)<<12|(t[n+2]&63)<<6|t[n+3]&63;if(y>65536&&y<1114112){y-=65536,e.push(String.fromCharCode(y>>>10|55296)),e.push(String.fromCharCode(y&1023|56320)),n+=4;continue}}}e.push("\uFFFD"),++n}return e.join("")}var je=he;let Pe=function(){let Ke=new ArrayBuffer(2);return new DataView(Ke).setInt16(0,256,!0),new Int16Array(Ke)[0]===256}();class We{static parseScriptData(e,t,n){let d={};try{let y=We.parseValue(e,t,n),m=We.parseValue(e,t+y.size,n-y.size);d[y.data]=m.data}catch(y){S.e("AMF",y.toString())}return d}static parseObject(e,t,n){if(n<3)throw new E("Data not enough when parse ScriptDataObject");let d=We.parseString(e,t,n),y=We.parseValue(e,t+d.size,n-d.size),m=y.objectEnd;return{data:{name:d.data,value:y.data},size:d.size+y.size,objectEnd:m}}static parseVariable(e,t,n){return We.parseObject(e,t,n)}static parseString(e,t,n){if(n<2)throw new E("Data not enough when parse String");let y=new DataView(e,t,n).getUint16(0,!Pe),m;return y>0?m=je(new Uint8Array(e,t+2,y)):m="",{data:m,size:2+y}}static parseLongString(e,t,n){if(n<4)throw new E("Data not enough when parse LongString");let y=new DataView(e,t,n).getUint32(0,!Pe),m;return y>0?m=je(new Uint8Array(e,t+4,y)):m="",{data:m,size:4+y}}static parseDate(e,t,n){if(n<10)throw new E("Data size invalid when parse Date");let d=new DataView(e,t,n),y=d.getFloat64(0,!Pe),m=d.getInt16(8,!Pe);return y+=m*60*1e3,{data:new Date(y),size:10}}static parseValue(e,t,n){if(n<1)throw new E("Data not enough when parse Value");let d=new DataView(e,t,n),y=1,m=d.getUint8(0),v,fe=!1;try{switch(m){case 0:v=d.getFloat64(1,!Pe),y+=8;break;case 1:{v=!!d.getUint8(1),y+=1;break}case 2:{let W=We.parseString(e,t+1,n-1);v=W.data,y+=W.size;break}case 3:{v={};let W=0;for((d.getUint32(n-4,!Pe)&16777215)===9&&(W=3);y32)throw new ue("ExpGolomb: readBits() bits exceeded max 32bits!");if(e<=this._current_word_bits_left){let m=this._current_word>>>32-e;return this._current_word<<=e,this._current_word_bits_left-=e,m}let t=this._current_word_bits_left?this._current_word:0;t=t>>>32-this._current_word_bits_left;let n=e-this._current_word_bits_left;this._fillCurrentWord();let d=Math.min(n,this._current_word_bits_left),y=this._current_word>>>32-d;return this._current_word<<=d,this._current_word_bits_left-=d,t=t<>>e)return this._current_word<<=e,this._current_word_bits_left-=e,e;return this._fillCurrentWord(),e+this._skipLeadingZero()}readUEG(){let e=this._skipLeadingZero();return this.readBits(e+1)-1}readSEG(){let e=this.readUEG();return e&1?e+1>>>1:-1*(e>>>1)}}var Ve=me;class O{static _ebsp2rbsp(e){let t=e,n=t.byteLength,d=new Uint8Array(n),y=0;for(let m=0;m=2&&t[m]===3&&t[m-1]===0&&t[m-2]===0||(d[y]=t[m],y++);return new Uint8Array(d.buffer,0,y)}static parseSPS(e){let t=O._ebsp2rbsp(e),n=new Ve(t);n.readByte();let d=n.readByte();n.readByte();let y=n.readByte();n.readUEG();let m=O.getProfileString(d),v=O.getLevelString(y),fe=1,W=420,Ee=[0,420,422,444],Ae=8;if((d===100||d===110||d===122||d===244||d===44||d===83||d===86||d===118||d===128||d===138||d===144)&&(fe=n.readUEG(),fe===3&&n.readBits(1),fe<=3&&(W=Ee[fe]),Ae=n.readUEG()+8,n.readUEG(),n.readBits(1),n.readBool())){let pt=fe!==3?8:12;for(let at=0;at0&&pt<16?(yt=at[pt-1],Ge=It[pt-1]):pt===255&&(yt=n.readByte()<<8|n.readByte(),Ge=n.readByte()<<8|n.readByte())}if(n.readBool()&&n.readBool(),n.readBool()&&(n.readBits(4),n.readBool()&&n.readBits(24)),n.readBool()&&(n.readUEG(),n.readUEG()),n.readBool()){let pt=n.readBits(32),at=n.readBits(32);G=n.readBool(),ee=at,le=pt*2,Xe=ee/le}}let ge=1;(yt!==1||Ge!==1)&&(ge=yt/Ge);let Fe=0,$e=0;if(fe===0)Fe=1,$e=2-pe;else{let pt=fe===3?1:2,at=fe===1?2:1;Fe=pt,$e=at*(2-pe)}let et=(ke+1)*16,dt=(2-pe)*((Le+1)*16);et-=(ye+ze)*Fe,dt-=(Oe+Qe)*$e;let ct=Math.ceil(et*ge);return n.destroy(),n=null,{profile_string:m,level_string:v,bit_depth:Ae,ref_frames:_e,chroma_format:W,chroma_format_string:O.getChromaFormatString(W),frame_rate:{fixed:G,fps:Xe,fps_den:le,fps_num:ee},sar_ratio:{width:yt,height:Ge},codec_size:{width:et,height:dt},present_size:{width:ct,height:dt}}}static _skipScalingList(e,t){let n=8,d=8,y=0;for(let m=0;m>>8&255|(Ke&255)<<8}function re(Ke){return(Ke&4278190080)>>>24|(Ke&16711680)>>>8|(Ke&65280)<<8|(Ke&255)<<24}function a(Ke,e){return Ke[e]<<24|Ke[e+1]<<16|Ke[e+2]<<8|Ke[e+3]}class o{constructor(e,t){this.TAG="FLVDemuxer",this._config=t,this._onError=null,this._onMediaInfo=null,this._onMetaDataArrived=null,this._onScriptDataArrived=null,this._onTrackMetadata=null,this._onDataAvailable=null,this._dataOffset=e.dataOffset,this._firstParse=!0,this._dispatch=!1,this._hasAudio=e.hasAudioTrack,this._hasVideo=e.hasVideoTrack,this._hasAudioFlagOverrided=!1,this._hasVideoFlagOverrided=!1,this._audioInitialMetadataDispatched=!1,this._videoInitialMetadataDispatched=!1,this._mediaInfo=new Ue,this._mediaInfo.hasAudio=this._hasAudio,this._mediaInfo.hasVideo=this._hasVideo,this._metadata=null,this._audioMetadata=null,this._videoMetadata=null,this._naluLengthSize=4,this._timestampBase=0,this._timescale=1e3,this._duration=0,this._durationOverrided=!1,this._referenceFrameRate={fixed:!0,fps:23.976,fps_num:23976,fps_den:1e3},this._flvSoundRateTable=[5500,11025,22050,44100,48e3],this._mpegSamplingRates=[96e3,88200,64e3,48e3,44100,32e3,24e3,22050,16e3,12e3,11025,8e3,7350],this._mpegAudioV10SampleRateTable=[44100,48e3,32e3,0],this._mpegAudioV20SampleRateTable=[22050,24e3,16e3,0],this._mpegAudioV25SampleRateTable=[11025,12e3,8e3,0],this._mpegAudioL1BitRateTable=[0,32,64,96,128,160,192,224,256,288,320,352,384,416,448,-1],this._mpegAudioL2BitRateTable=[0,32,48,56,64,80,96,112,128,160,192,224,256,320,384,-1],this._mpegAudioL3BitRateTable=[0,32,40,48,56,64,80,96,112,128,160,192,224,256,320,-1],this._videoTrack={type:"video",id:1,sequenceNumber:0,samples:[],length:0},this._audioTrack={type:"audio",id:2,sequenceNumber:0,samples:[],length:0},this._littleEndian=function(){let n=new ArrayBuffer(2);return new DataView(n).setInt16(0,256,!0),new Int16Array(n)[0]===256}()}destroy(){this._mediaInfo=null,this._metadata=null,this._audioMetadata=null,this._videoMetadata=null,this._videoTrack=null,this._audioTrack=null,this._onError=null,this._onMediaInfo=null,this._onMetaDataArrived=null,this._onScriptDataArrived=null,this._onTrackMetadata=null,this._onDataAvailable=null}static probe(e){let t=new Uint8Array(e),n={match:!1};if(t[0]!==70||t[1]!==76||t[2]!==86||t[3]!==1)return n;let d=(t[4]&4)>>>2!==0,y=(t[4]&1)!==0,m=a(t,5);return m<9?n:{match:!0,consumed:m,dataOffset:m,hasAudioTrack:d,hasVideoTrack:y}}bindDataSource(e){return e.onDataArrival=this.parseChunks.bind(this),this}get onTrackMetadata(){return this._onTrackMetadata}set onTrackMetadata(e){this._onTrackMetadata=e}get onMediaInfo(){return this._onMediaInfo}set onMediaInfo(e){this._onMediaInfo=e}get onMetaDataArrived(){return this._onMetaDataArrived}set onMetaDataArrived(e){this._onMetaDataArrived=e}get onScriptDataArrived(){return this._onScriptDataArrived}set onScriptDataArrived(e){this._onScriptDataArrived=e}get onError(){return this._onError}set onError(e){this._onError=e}get onDataAvailable(){return this._onDataAvailable}set onDataAvailable(e){this._onDataAvailable=e}get timestampBase(){return this._timestampBase}set timestampBase(e){this._timestampBase=e}get overridedDuration(){return this._duration}set overridedDuration(e){this._durationOverrided=!0,this._duration=e,this._mediaInfo.duration=e}set overridedHasAudio(e){this._hasAudioFlagOverrided=!0,this._hasAudio=e,this._mediaInfo.hasAudio=e}set overridedHasVideo(e){this._hasVideoFlagOverrided=!0,this._hasVideo=e,this._mediaInfo.hasVideo=e}resetMediaInfo(){this._mediaInfo=new Ue}_isInitialMetadataDispatched(){return this._hasAudio&&this._hasVideo?this._audioInitialMetadataDispatched&&this._videoInitialMetadataDispatched:this._hasAudio&&!this._hasVideo?this._audioInitialMetadataDispatched:!this._hasAudio&&this._hasVideo?this._videoInitialMetadataDispatched:!1}parseChunks(e,t){if(!this._onError||!this._onMediaInfo||!this._onTrackMetadata||!this._onDataAvailable)throw new E("Flv: onError & onMediaInfo & onTrackMetadata & onDataAvailable callback must be specified");let n=0,d=this._littleEndian;if(t===0)if(e.byteLength>13)n=o.probe(e).dataOffset;else return 0;for(this._firstParse&&(this._firstParse=!1,t+n!==this._dataOffset&&S.w(this.TAG,"First time parsing but chunk byteStart invalid!"),new DataView(e,n).getUint32(0,!d)!==0&&S.w(this.TAG,"PrevTagSize0 !== 0 !!!"),n+=4);ne.byteLength)break;let m=y.getUint8(0),v=y.getUint32(0,!d)&16777215;if(n+11+v+4>e.byteLength)break;if(m!==8&&m!==9&&m!==18){S.w(this.TAG,`Unsupported tag type ${m}, skipped`),n+=11+v+4;continue}let fe=y.getUint8(4),W=y.getUint8(5),Ee=y.getUint8(6),Ae=y.getUint8(7),Ze=Ee|W<<8|fe<<16|Ae<<24;(y.getUint32(7,!d)&16777215)!==0&&S.w(this.TAG,"Meet tag which has StreamID != 0!");let ke=n+11;switch(m){case 8:this._parseAudioData(e,ke,v,Ze);break;case 9:this._parseVideoData(e,ke,v,Ze,t+n);break;case 18:this._parseScriptData(e,ke,v);break}let Le=y.getUint32(11+v,!d);Le!==11+v&&S.w(this.TAG,`Invalid PrevTagSize ${Le}`),n+=11+v+4}return this._isInitialMetadataDispatched()&&this._dispatch&&(this._audioTrack.length||this._videoTrack.length)&&this._onDataAvailable(this._audioTrack,this._videoTrack),n}_parseScriptData(e,t,n){let d=rt.parseScriptData(e,t,n);if(d.hasOwnProperty("onMetaData")){if(d.onMetaData==null||typeof d.onMetaData!="object"){S.w(this.TAG,"Invalid onMetaData structure!");return}this._metadata&&S.w(this.TAG,"Found another onMetaData tag!"),this._metadata=d;let y=this._metadata.onMetaData;if(this._onMetaDataArrived&&this._onMetaDataArrived(Object.assign({},y)),typeof y.hasAudio=="boolean"&&this._hasAudioFlagOverrided===!1&&(this._hasAudio=y.hasAudio,this._mediaInfo.hasAudio=this._hasAudio),typeof y.hasVideo=="boolean"&&this._hasVideoFlagOverrided===!1&&(this._hasVideo=y.hasVideo,this._mediaInfo.hasVideo=this._hasVideo),typeof y.audiodatarate=="number"&&(this._mediaInfo.audioDataRate=y.audiodatarate),typeof y.videodatarate=="number"&&(this._mediaInfo.videoDataRate=y.videodatarate),typeof y.width=="number"&&(this._mediaInfo.width=y.width),typeof y.height=="number"&&(this._mediaInfo.height=y.height),typeof y.duration=="number"){if(!this._durationOverrided){let m=Math.floor(y.duration*this._timescale);this._duration=m,this._mediaInfo.duration=m}}else this._mediaInfo.duration=0;if(typeof y.framerate=="number"){let m=Math.floor(y.framerate*1e3);if(m>0){let v=m/1e3;this._referenceFrameRate.fixed=!0,this._referenceFrameRate.fps=v,this._referenceFrameRate.fps_num=m,this._referenceFrameRate.fps_den=1e3,this._mediaInfo.fps=v}}if(typeof y.keyframes=="object"){this._mediaInfo.hasKeyframesIndex=!0;let m=y.keyframes;this._mediaInfo.keyframesIndex=this._parseKeyframesIndex(m),y.keyframes=null}else this._mediaInfo.hasKeyframesIndex=!1;this._dispatch=!1,this._mediaInfo.metadata=y,S.v(this.TAG,"Parsed onMetaData"),this._mediaInfo.isComplete()&&this._onMediaInfo(this._mediaInfo)}Object.keys(d).length>0&&this._onScriptDataArrived&&this._onScriptDataArrived(Object.assign({},d))}_parseKeyframesIndex(e){let t=[],n=[];for(let d=1;d>>4;if(fe!==2&&fe!==10){this._onError(h.CODEC_UNSUPPORTED,"Flv: Unsupported audio codec idx: "+fe);return}let W=0,Ee=(v&12)>>>2;if(Ee>=0&&Ee<=4)W=this._flvSoundRateTable[Ee];else{this._onError(h.FORMAT_ERROR,"Flv: Invalid audio sample rate idx: "+Ee);return}let Ae=(v&2)>>>1,Ze=v&1,_e=this._audioMetadata,ke=this._audioTrack;if(_e||(this._hasAudio===!1&&this._hasAudioFlagOverrided===!1&&(this._hasAudio=!0,this._mediaInfo.hasAudio=!0),_e=this._audioMetadata={},_e.type="audio",_e.id=ke.id,_e.timescale=this._timescale,_e.duration=this._duration,_e.audioSampleRate=W,_e.channelCount=Ze===0?1:2),fe===10){let Le=this._parseAACAudioData(e,t+1,n-1);if(Le==null)return;if(Le.packetType===0){_e.config&&S.w(this.TAG,"Found another AudioSpecificConfig!");let pe=Le.data;_e.audioSampleRate=pe.samplingRate,_e.channelCount=pe.channelCount,_e.codec=pe.codec,_e.originalCodec=pe.originalCodec,_e.config=pe.config,_e.refSampleDuration=1024/_e.audioSampleRate*_e.timescale,S.v(this.TAG,"Parsed AudioSpecificConfig"),this._isInitialMetadataDispatched()?this._dispatch&&(this._audioTrack.length||this._videoTrack.length)&&this._onDataAvailable(this._audioTrack,this._videoTrack):this._audioInitialMetadataDispatched=!0,this._dispatch=!1,this._onTrackMetadata("audio",_e);let ye=this._mediaInfo;ye.audioCodec=_e.originalCodec,ye.audioSampleRate=_e.audioSampleRate,ye.audioChannelCount=_e.channelCount,ye.hasVideo?ye.videoCodec!=null&&(ye.mimeType='video/x-flv; codecs="'+ye.videoCodec+","+ye.audioCodec+'"'):ye.mimeType='video/x-flv; codecs="'+ye.audioCodec+'"',ye.isComplete()&&this._onMediaInfo(ye)}else if(Le.packetType===1){let pe=this._timestampBase+d,ye={unit:Le.data,length:Le.data.byteLength,dts:pe,pts:pe};ke.samples.push(ye),ke.length+=Le.data.length}else S.e(this.TAG,`Flv: Unsupported AAC data type ${Le.packetType}`)}else if(fe===2){if(!_e.codec){let ze=this._parseMP3AudioData(e,t+1,n-1,!0);if(ze==null)return;_e.audioSampleRate=ze.samplingRate,_e.channelCount=ze.channelCount,_e.codec=ze.codec,_e.originalCodec=ze.originalCodec,_e.refSampleDuration=1152/_e.audioSampleRate*_e.timescale,S.v(this.TAG,"Parsed MPEG Audio Frame Header"),this._audioInitialMetadataDispatched=!0,this._onTrackMetadata("audio",_e);let Oe=this._mediaInfo;Oe.audioCodec=_e.codec,Oe.audioSampleRate=_e.audioSampleRate,Oe.audioChannelCount=_e.channelCount,Oe.audioDataRate=ze.bitRate,Oe.hasVideo?Oe.videoCodec!=null&&(Oe.mimeType='video/x-flv; codecs="'+Oe.videoCodec+","+Oe.audioCodec+'"'):Oe.mimeType='video/x-flv; codecs="'+Oe.audioCodec+'"',Oe.isComplete()&&this._onMediaInfo(Oe)}let Le=this._parseMP3AudioData(e,t+1,n-1,!1);if(Le==null)return;let pe=this._timestampBase+d,ye={unit:Le,length:Le.byteLength,dts:pe,pts:pe};ke.samples.push(ye),ke.length+=Le.length}}_parseAACAudioData(e,t,n){if(n<=1){S.w(this.TAG,"Flv: Invalid AAC packet, missing AACPacketType or/and Data!");return}let d={},y=new Uint8Array(e,t,n);return d.packetType=y[0],y[0]===0?d.data=this._parseAACAudioSpecificConfig(e,t+1,n-1):d.data=y.subarray(1),d}_parseAACAudioSpecificConfig(e,t,n){let d=new Uint8Array(e,t,n),y=null,m=0,v=0,fe=null,W=0,Ee=null;if(m=v=d[0]>>>3,W=(d[0]&7)<<1|d[1]>>>7,W<0||W>=this._mpegSamplingRates.length){this._onError(h.FORMAT_ERROR,"Flv: AAC invalid sampling frequency index!");return}let Ae=this._mpegSamplingRates[W],Ze=(d[1]&120)>>>3;if(Ze<0||Ze>=8){this._onError(h.FORMAT_ERROR,"Flv: AAC invalid channel configuration");return}m===5&&(Ee=(d[1]&7)<<1|d[2]>>>7,fe=(d[2]&124)>>>2);let _e=self.navigator.userAgent.toLowerCase();return _e.indexOf("firefox")!==-1?W>=6?(m=5,y=new Array(4),Ee=W-3):(m=2,y=new Array(2),Ee=W):_e.indexOf("android")!==-1?(m=2,y=new Array(2),Ee=W):(m=5,Ee=W,y=new Array(4),W>=6?Ee=W-3:Ze===1&&(m=2,y=new Array(2),Ee=W)),y[0]=m<<3,y[0]|=(W&15)>>>1,y[1]=(W&15)<<7,y[1]|=(Ze&15)<<3,m===5&&(y[1]|=(Ee&15)>>>1,y[2]=(Ee&1)<<7,y[2]|=8,y[3]=0),{config:y,samplingRate:Ae,channelCount:Ze,codec:"mp4a.40."+m,originalCodec:"mp4a.40."+v}}_parseMP3AudioData(e,t,n,d){if(n<4){S.w(this.TAG,"Flv: Invalid MP3 packet, header missing!");return}let y=this._littleEndian,m=new Uint8Array(e,t,n),v=null;if(d){if(m[0]!==255)return;let fe=m[1]>>>3&3,W=(m[1]&6)>>1,Ee=(m[2]&240)>>>4,Ae=(m[2]&12)>>>2,_e=(m[3]>>>6&3)!==3?2:1,ke=0,Le=0,pe=34,ye="mp3";switch(fe){case 0:ke=this._mpegAudioV25SampleRateTable[Ae];break;case 2:ke=this._mpegAudioV20SampleRateTable[Ae];break;case 3:ke=this._mpegAudioV10SampleRateTable[Ae];break}switch(W){case 1:pe=34,Ee>>4,fe=m&15;if(fe!==7){this._onError(h.CODEC_UNSUPPORTED,`Flv: Unsupported codec in video frame: ${fe}`);return}this._parseAVCVideoPacket(e,t+1,n-1,d,y,v)}_parseAVCVideoPacket(e,t,n,d,y,m){if(n<4){S.w(this.TAG,"Flv: Invalid AVC packet, missing AVCPacketType or/and CompositionTime");return}let v=this._littleEndian,fe=new DataView(e,t,n),W=fe.getUint8(0),Ae=(fe.getUint32(0,!v)&16777215)<<8>>8;if(W===0)this._parseAVCDecoderConfigurationRecord(e,t+4,n-4);else if(W===1)this._parseAVCVideoData(e,t+4,n-4,d,y,m,Ae);else if(W!==2){this._onError(h.FORMAT_ERROR,`Flv: Invalid video packet type ${W}`);return}}_parseAVCDecoderConfigurationRecord(e,t,n){if(n<7){S.w(this.TAG,"Flv: Invalid AVCDecoderConfigurationRecord, lack of data!");return}let d=this._videoMetadata,y=this._videoTrack,m=this._littleEndian,v=new DataView(e,t,n);d?typeof d.avcc!="undefined"&&S.w(this.TAG,"Found another AVCDecoderConfigurationRecord!"):(this._hasVideo===!1&&this._hasVideoFlagOverrided===!1&&(this._hasVideo=!0,this._mediaInfo.hasVideo=!0),d=this._videoMetadata={},d.type="video",d.id=y.id,d.timescale=this._timescale,d.duration=this._duration);let fe=v.getUint8(0),W=v.getUint8(1),Ee=v.getUint8(2),Ae=v.getUint8(3);if(fe!==1||W===0){this._onError(h.FORMAT_ERROR,"Flv: Invalid AVCDecoderConfigurationRecord");return}if(this._naluLengthSize=(v.getUint8(4)&3)+1,this._naluLengthSize!==3&&this._naluLengthSize!==4){this._onError(h.FORMAT_ERROR,`Flv: Strange NaluLengthSizeMinusOne: ${this._naluLengthSize-1}`);return}let Ze=v.getUint8(5)&31;if(Ze===0){this._onError(h.FORMAT_ERROR,"Flv: Invalid AVCDecoderConfigurationRecord: No SPS");return}else Ze>1&&S.w(this.TAG,`Flv: Strange AVCDecoderConfigurationRecord: SPS Count = ${Ze}`);let _e=6;for(let Le=0;Le1&&S.w(this.TAG,`Flv: Strange AVCDecoderConfigurationRecord: PPS Count = ${ke}`);_e++;for(let Le=0;Le=n){S.w(this.TAG,`Malformed Nalu near timestamp ${ke}, offset = ${Ze}, dataSize = ${n}`);break}let pe=W.getUint32(Ze,!fe);if(_e===3&&(pe>>>=8),pe>n-_e){S.w(this.TAG,`Malformed Nalus near timestamp ${ke}, NaluSize > DataSize!`);return}let ye=W.getUint8(Ze+_e)&31;ye===5&&(Le=!0);let ze=new Uint8Array(e,t+Ze,_e+pe),Oe={type:ye,data:ze};Ee.push(Oe),Ae+=ze.byteLength,Ze+=_e+pe}if(Ee.length){let pe=this._videoTrack,ye={units:Ee,length:Ae,isKeyframe:Le,dts:ke,cts:v,pts:ke+v};Le&&(ye.fileposition=y),pe.samples.push(ye),pe.length+=Ae}}}var C=o;class l{static init(){l.types={avc1:[],avcC:[],btrt:[],dinf:[],dref:[],esds:[],ftyp:[],hdlr:[],mdat:[],mdhd:[],mdia:[],mfhd:[],minf:[],moof:[],moov:[],mp4a:[],mvex:[],mvhd:[],sdtp:[],stbl:[],stco:[],stsc:[],stsd:[],stsz:[],stts:[],tfdt:[],tfhd:[],traf:[],trak:[],trun:[],trex:[],tkhd:[],vmhd:[],smhd:[],".mp3":[]};for(let t in l.types)l.types.hasOwnProperty(t)&&(l.types[t]=[t.charCodeAt(0),t.charCodeAt(1),t.charCodeAt(2),t.charCodeAt(3)]);let e=l.constants={};e.FTYP=new Uint8Array([105,115,111,109,0,0,0,1,105,115,111,109,97,118,99,49]),e.STSD_PREFIX=new Uint8Array([0,0,0,0,0,0,0,1]),e.STTS=new Uint8Array([0,0,0,0,0,0,0,0]),e.STSC=e.STCO=e.STTS,e.STSZ=new Uint8Array([0,0,0,0,0,0,0,0,0,0,0,0]),e.HDLR_VIDEO=new Uint8Array([0,0,0,0,0,0,0,0,118,105,100,101,0,0,0,0,0,0,0,0,0,0,0,0,86,105,100,101,111,72,97,110,100,108,101,114,0]),e.HDLR_AUDIO=new Uint8Array([0,0,0,0,0,0,0,0,115,111,117,110,0,0,0,0,0,0,0,0,0,0,0,0,83,111,117,110,100,72,97,110,100,108,101,114,0]),e.DREF=new Uint8Array([0,0,0,0,0,0,0,1,0,0,0,12,117,114,108,32,0,0,0,1]),e.SMHD=new Uint8Array([0,0,0,0,0,0,0,0]),e.VMHD=new Uint8Array([0,0,0,1,0,0,0,0,0,0,0,0])}static box(e){let t=8,n=null,d=Array.prototype.slice.call(arguments,1),y=d.length;for(let v=0;v>>24&255,n[1]=t>>>16&255,n[2]=t>>>8&255,n[3]=t&255,n.set(e,4);let m=8;for(let v=0;v>>24&255,e>>>16&255,e>>>8&255,e&255,t>>>24&255,t>>>16&255,t>>>8&255,t&255,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,64,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,255,255,255,255]))}static trak(e){return l.box(l.types.trak,l.tkhd(e),l.mdia(e))}static tkhd(e){let t=e.id,n=e.duration,d=e.presentWidth,y=e.presentHeight;return l.box(l.types.tkhd,new Uint8Array([0,0,0,7,0,0,0,0,0,0,0,0,t>>>24&255,t>>>16&255,t>>>8&255,t&255,0,0,0,0,n>>>24&255,n>>>16&255,n>>>8&255,n&255,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,64,0,0,0,d>>>8&255,d&255,0,0,y>>>8&255,y&255,0,0]))}static mdia(e){return l.box(l.types.mdia,l.mdhd(e),l.hdlr(e),l.minf(e))}static mdhd(e){let t=e.timescale,n=e.duration;return l.box(l.types.mdhd,new Uint8Array([0,0,0,0,0,0,0,0,0,0,0,0,t>>>24&255,t>>>16&255,t>>>8&255,t&255,n>>>24&255,n>>>16&255,n>>>8&255,n&255,85,196,0,0]))}static hdlr(e){let t=null;return e.type==="audio"?t=l.constants.HDLR_AUDIO:t=l.constants.HDLR_VIDEO,l.box(l.types.hdlr,t)}static minf(e){let t=null;return e.type==="audio"?t=l.box(l.types.smhd,l.constants.SMHD):t=l.box(l.types.vmhd,l.constants.VMHD),l.box(l.types.minf,t,l.dinf(),l.stbl(e))}static dinf(){return l.box(l.types.dinf,l.box(l.types.dref,l.constants.DREF))}static stbl(e){return l.box(l.types.stbl,l.stsd(e),l.box(l.types.stts,l.constants.STTS),l.box(l.types.stsc,l.constants.STSC),l.box(l.types.stsz,l.constants.STSZ),l.box(l.types.stco,l.constants.STCO))}static stsd(e){return e.type==="audio"?e.codec==="mp3"?l.box(l.types.stsd,l.constants.STSD_PREFIX,l.mp3(e)):l.box(l.types.stsd,l.constants.STSD_PREFIX,l.mp4a(e)):l.box(l.types.stsd,l.constants.STSD_PREFIX,l.avc1(e))}static mp3(e){let t=e.channelCount,n=e.audioSampleRate,d=new Uint8Array([0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,t,0,16,0,0,0,0,n>>>8&255,n&255,0,0]);return l.box(l.types[".mp3"],d)}static mp4a(e){let t=e.channelCount,n=e.audioSampleRate,d=new Uint8Array([0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,t,0,16,0,0,0,0,n>>>8&255,n&255,0,0]);return l.box(l.types.mp4a,d,l.esds(e))}static esds(e){let t=e.config||[],n=t.length,d=new Uint8Array([0,0,0,0,3,23+n,0,1,0,4,15+n,64,21,0,0,0,0,0,0,0,0,0,0,0,5].concat([n]).concat(t).concat([6,1,2]));return l.box(l.types.esds,d)}static avc1(e){let t=e.avcc,n=e.codecWidth,d=e.codecHeight,y=new Uint8Array([0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,n>>>8&255,n&255,d>>>8&255,d&255,0,72,0,0,0,72,0,0,0,0,0,0,0,1,10,120,113,113,47,102,108,118,46,106,115,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,24,255,255]);return l.box(l.types.avc1,y,l.box(l.types.avcC,t))}static mvex(e){return l.box(l.types.mvex,l.trex(e))}static trex(e){let t=e.id,n=new Uint8Array([0,0,0,0,t>>>24&255,t>>>16&255,t>>>8&255,t&255,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,1]);return l.box(l.types.trex,n)}static moof(e,t){return l.box(l.types.moof,l.mfhd(e.sequenceNumber),l.traf(e,t))}static mfhd(e){let t=new Uint8Array([0,0,0,0,e>>>24&255,e>>>16&255,e>>>8&255,e&255]);return l.box(l.types.mfhd,t)}static traf(e,t){let n=e.id,d=l.box(l.types.tfhd,new Uint8Array([0,0,0,0,n>>>24&255,n>>>16&255,n>>>8&255,n&255])),y=l.box(l.types.tfdt,new Uint8Array([0,0,0,0,t>>>24&255,t>>>16&255,t>>>8&255,t&255])),m=l.sdtp(e),v=l.trun(e,m.byteLength+16+16+8+16+8+8);return l.box(l.types.traf,d,y,v,m)}static sdtp(e){let t=e.samples||[],n=t.length,d=new Uint8Array(4+n);for(let y=0;y>>24&255,d>>>16&255,d>>>8&255,d&255,t>>>24&255,t>>>16&255,t>>>8&255,t&255],0);for(let v=0;v>>24&255,fe>>>16&255,fe>>>8&255,fe&255,W>>>24&255,W>>>16&255,W>>>8&255,W&255,Ee.isLeading<<2|Ee.dependsOn,Ee.isDependedOn<<6|Ee.hasRedundancy<<4|Ee.isNonSync,0,0,Ae>>>24&255,Ae>>>16&255,Ae>>>8&255,Ae&255],12+16*v)}return l.box(l.types.trun,m)}static mdat(e){return l.box(l.types.mdat,e)}}l.init();var g=l;class ${static getSilentFrame(e,t){if(e==="mp4a.40.2"){if(t===1)return new Uint8Array([0,200,0,128,35,128]);if(t===2)return new Uint8Array([33,0,73,144,2,25,0,35,128]);if(t===3)return new Uint8Array([0,200,0,128,32,132,1,38,64,8,100,0,142]);if(t===4)return new Uint8Array([0,200,0,128,32,132,1,38,64,8,100,0,128,44,128,8,2,56]);if(t===5)return new Uint8Array([0,200,0,128,32,132,1,38,64,8,100,0,130,48,4,153,0,33,144,2,56]);if(t===6)return new Uint8Array([0,200,0,128,32,132,1,38,64,8,100,0,130,48,4,153,0,33,144,2,0,178,0,32,8,224])}else{if(t===1)return new Uint8Array([1,64,34,128,163,78,230,128,186,8,0,0,0,28,6,241,193,10,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,94]);if(t===2)return new Uint8Array([1,64,34,128,163,94,230,128,186,8,0,0,0,0,149,0,6,241,161,10,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,94]);if(t===3)return new Uint8Array([1,64,34,128,163,94,230,128,186,8,0,0,0,0,149,0,6,241,161,10,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,94])}return null}}var ne=$;class Q{constructor(e,t,n,d,y){this.dts=e,this.pts=t,this.duration=n,this.originalDts=d,this.isSyncPoint=y,this.fileposition=null}}class de{constructor(){this.beginDts=0,this.endDts=0,this.beginPts=0,this.endPts=0,this.originalBeginDts=0,this.originalEndDts=0,this.syncPoints=[],this.firstSample=null,this.lastSample=null}appendSyncPoint(e){e.isSyncPoint=!0,this.syncPoints.push(e)}}class J{constructor(){this._list=[]}clear(){this._list=[]}appendArray(e){let t=this._list;e.length!==0&&(t.length>0&&e[0].originalDts=t[y].dts&&et[d].lastSample.originalDts&&e=t[d].lastSample.originalDts&&(d===t.length-1||d0&&(y=this._searchNearestSegmentBefore(n.originalBeginDts)+1),this._lastAppendLocation=y,this._list.splice(y,0,n)}getLastSegmentBefore(e){let t=this._searchNearestSegmentBefore(e);return t>=0?this._list[t]:null}getLastSampleBefore(e){let t=this.getLastSegmentBefore(e);return t!=null?t.lastSample:null}getLastSyncPointBefore(e){let t=this._searchNearestSegmentBefore(e),n=this._list[t].syncPoints;for(;n.length===0&&t>0;)t--,n=this._list[t].syncPoints;return n.length>0?n[n.length-1]:null}}class X{constructor(e){this.TAG="MP4Remuxer",this._config=e,this._isLive=e.isLive===!0,this._dtsBase=-1,this._dtsBaseInited=!1,this._audioDtsBase=1/0,this._videoDtsBase=1/0,this._audioNextDts=void 0,this._videoNextDts=void 0,this._audioStashedLastSample=null,this._videoStashedLastSample=null,this._audioMeta=null,this._videoMeta=null,this._audioSegmentInfoList=new oe("audio"),this._videoSegmentInfoList=new oe("video"),this._onInitSegment=null,this._onMediaSegment=null,this._forceFirstIDR=!!(w.chrome&&(w.version.major<50||w.version.major===50&&w.version.build<2661)),this._fillSilentAfterSeek=w.msedge||w.msie,this._mp3UseMpegAudio=!w.firefox,this._fillAudioTimestampGap=this._config.fixAudioTimestampGap}destroy(){this._dtsBase=-1,this._dtsBaseInited=!1,this._audioMeta=null,this._videoMeta=null,this._audioSegmentInfoList.clear(),this._audioSegmentInfoList=null,this._videoSegmentInfoList.clear(),this._videoSegmentInfoList=null,this._onInitSegment=null,this._onMediaSegment=null}bindDataSource(e){return e.onDataAvailable=this.remux.bind(this),e.onTrackMetadata=this._onTrackMetadataReceived.bind(this),this}get onInitSegment(){return this._onInitSegment}set onInitSegment(e){this._onInitSegment=e}get onMediaSegment(){return this._onMediaSegment}set onMediaSegment(e){this._onMediaSegment=e}insertDiscontinuity(){this._audioNextDts=this._videoNextDts=void 0}seek(e){this._audioStashedLastSample=null,this._videoStashedLastSample=null,this._videoSegmentInfoList.clear(),this._audioSegmentInfoList.clear()}remux(e,t){if(!this._onMediaSegment)throw new E("MP4Remuxer: onMediaSegment callback must be specificed!");this._dtsBaseInited||this._calculateDtsBase(e,t),this._remuxVideo(t),this._remuxAudio(e)}_onTrackMetadataReceived(e,t){let n=null,d="mp4",y=t.codec;if(e==="audio")this._audioMeta=t,t.codec==="mp3"&&this._mp3UseMpegAudio?(d="mpeg",y="",n=new Uint8Array):n=g.generateInitSegment(t);else if(e==="video")this._videoMeta=t,n=g.generateInitSegment(t);else return;if(!this._onInitSegment)throw new E("MP4Remuxer: onInitSegment callback must be specified!");this._onInitSegment(e,{type:e,data:n.buffer,codec:y,container:`${e}/${d}`,mediaDuration:t.duration})}_calculateDtsBase(e,t){this._dtsBaseInited||(e.samples&&e.samples.length&&(this._audioDtsBase=e.samples[0].dts),t.samples&&t.samples.length&&(this._videoDtsBase=t.samples[0].dts),this._dtsBase=Math.min(this._audioDtsBase,this._videoDtsBase),this._dtsBaseInited=!0)}flushStashedSamples(){let e=this._videoStashedLastSample,t=this._audioStashedLastSample,n={type:"video",id:1,sequenceNumber:0,samples:[],length:0};e!=null&&(n.samples.push(e),n.length=e.length);let d={type:"audio",id:2,sequenceNumber:0,samples:[],length:0};t!=null&&(d.samples.push(t),d.length=t.length),this._videoStashedLastSample=null,this._audioStashedLastSample=null,this._remuxVideo(n,!0),this._remuxAudio(d,!0)}_remuxAudio(e,t){if(this._audioMeta==null)return;let n=e,d=n.samples,y,m=-1,v=-1,fe=-1,W=this._audioMeta.refSampleDuration,Ee=this._audioMeta.codec==="mp3"&&this._mp3UseMpegAudio,Ae=this._dtsBaseInited&&this._audioNextDts===void 0,Ze=!1;if(!d||d.length===0||d.length===1&&!t)return;let _e=0,ke=null,Le=0;Ee?(_e=0,Le=n.length):(_e=8,Le=8+n.length);let pe=null;if(d.length>1&&(pe=d.pop(),Le-=pe.length),this._audioStashedLastSample!=null){let Ge=this._audioStashedLastSample;this._audioStashedLastSample=null,d.unshift(Ge),Le+=Ge.length}pe!=null&&(this._audioStashedLastSample=pe);let ye=d[0].dts-this._dtsBase;if(this._audioNextDts)y=ye-this._audioNextDts;else if(this._audioSegmentInfoList.isEmpty())y=0,this._fillSilentAfterSeek&&!this._videoSegmentInfoList.isEmpty()&&this._audioMeta.originalCodec!=="mp3"&&(Ze=!0);else{let Ge=this._audioSegmentInfoList.getLastSampleBefore(ye);if(Ge!=null){let Xe=ye-(Ge.originalDts+Ge.duration);Xe<=3&&(Xe=0);let G=Ge.dts+Ge.duration+Xe;y=ye-G}else y=0}if(Ze){let Ge=ye-y,Xe=this._videoSegmentInfoList.getLastSegmentBefore(ye);if(Xe!=null&&Xe.beginDts=1?ve=ze[ze.length-1].duration:ve=Math.floor(W);let ge=!1,Fe=null;if(ve>W*1.5&&this._audioMeta.codec!=="mp3"&&this._fillAudioTimestampGap&&!w.safari){ge=!0;let $e=Math.abs(ve-W),et=Math.ceil($e/W),dt=le+W;S.w(this.TAG,`Large audio timestamp gap detected, may cause AV sync to drift. Silent frames will be generated to avoid unsync. dts: ${le+ve} ms, expected: ${le+Math.round(W)} ms, delta: ${Math.round($e)} ms, generate: ${et} frames`);let ct=ne.getSilentFrame(this._audioMeta.originalCodec,this._audioMeta.channelCount);ct==null&&(S.w(this.TAG,`Unable to generate silent frame for ${this._audioMeta.originalCodec} with ${this._audioMeta.channelCount} channels, repeat last frame`),ct=G),Fe=[];for(let at=0;at0){let ut=Fe[Fe.length-1];ut.duration=It-ut.dts}let _t={dts:It,pts:It,cts:0,unit:ct,size:ct.byteLength,duration:0,originalDts:ee,flags:{isLeading:0,dependsOn:1,isDependedOn:0,hasRedundancy:0}};Fe.push(_t),Le+=_t.size,dt+=W}let pt=Fe[Fe.length-1];pt.duration=le+ve-pt.dts,ve=Math.round(W)}ze.push({dts:le,pts:le,cts:0,unit:Xe.unit,size:Xe.unit.byteLength,duration:ve,originalDts:ee,flags:{isLeading:0,dependsOn:1,isDependedOn:0,hasRedundancy:0}}),ge&&ze.push.apply(ze,Fe)}Ee?ke=new Uint8Array(Le):(ke=new Uint8Array(Le),ke[0]=Le>>>24&255,ke[1]=Le>>>16&255,ke[2]=Le>>>8&255,ke[3]=Le&255,ke.set(g.types.mdat,4));for(let Ge=0;Ge1&&(_e=d.pop(),Ze-=_e.length),this._videoStashedLastSample!=null){let Oe=this._videoStashedLastSample;this._videoStashedLastSample=null,d.unshift(Oe),Ze+=Oe.length}_e!=null&&(this._videoStashedLastSample=_e);let ke=d[0].dts-this._dtsBase;if(this._videoNextDts)y=ke-this._videoNextDts;else if(this._videoSegmentInfoList.isEmpty())y=0;else{let Oe=this._videoSegmentInfoList.getLastSampleBefore(ke);if(Oe!=null){let Qe=ke-(Oe.originalDts+Oe.duration);Qe<=3&&(Qe=0);let Et=Oe.dts+Oe.duration+Qe;y=ke-Et}else y=0}let Le=new de,pe=[];for(let Oe=0;Oe=1?ee=pe[pe.length-1].duration:ee=Math.floor(this._videoMeta.refSampleDuration),yt){let le=new Q(Ge,G,ee,Qe.dts,!0);le.fileposition=Qe.fileposition,Le.appendSyncPoint(le)}pe.push({dts:Ge,pts:G,cts:Xe,units:Qe.units,size:Qe.length,isKeyframe:yt,duration:ee,originalDts:Et,flags:{isLeading:0,dependsOn:yt?2:1,isDependedOn:yt?1:0,hasRedundancy:0,isNonSync:yt?0:1}})}Ae=new Uint8Array(Ze),Ae[0]=Ze>>>24&255,Ae[1]=Ze>>>16&255,Ae[2]=Ze>>>8&255,Ae[3]=Ze&255,Ae.set(g.types.mdat,4);for(let Oe=0;Oe{d.timestampBase=n,n+=d.duration,d.cors=e.cors,d.withCredentials=e.withCredentials,t.referrerPolicy&&(d.referrerPolicy=t.referrerPolicy)}),!isNaN(n)&&this._mediaDataSource.duration!==n&&(this._mediaDataSource.duration=n),this._mediaInfo=null,this._demuxer=null,this._remuxer=null,this._ioctl=null,this._pendingSeekTime=null,this._pendingResolveSeekPoint=null,this._statisticsReporter=null}destroy(){this._mediaInfo=null,this._mediaDataSource=null,this._statisticsReporter&&this._disableStatisticsReporter(),this._ioctl&&(this._ioctl.destroy(),this._ioctl=null),this._demuxer&&(this._demuxer.destroy(),this._demuxer=null),this._remuxer&&(this._remuxer.destroy(),this._remuxer=null),this._emitter.removeAllListeners(),this._emitter=null}on(e,t){this._emitter.addListener(e,t)}off(e,t){this._emitter.removeListener(e,t)}start(){this._loadSegment(0),this._enableStatisticsReporter()}_loadSegment(e,t){this._currentSegmentIndex=e;let n=this._mediaDataSource.segments[e],d=this._ioctl=new ae(n,this._config,e);d.onError=this._onIOException.bind(this),d.onSeeked=this._onIOSeeked.bind(this),d.onComplete=this._onIOComplete.bind(this),d.onRedirect=this._onIORedirect.bind(this),d.onRecoveredEarlyEof=this._onIORecoveredEarlyEof.bind(this),t?this._demuxer.bindDataSource(this._ioctl):d.onDataArrival=this._onInitChunkArrival.bind(this),d.open(t)}stop(){this._internalAbort(),this._disableStatisticsReporter()}_internalAbort(){this._ioctl&&(this._ioctl.destroy(),this._ioctl=null)}pause(){this._ioctl&&this._ioctl.isWorking()&&(this._ioctl.pause(),this._disableStatisticsReporter())}resume(){this._ioctl&&this._ioctl.isPaused()&&(this._ioctl.resume(),this._enableStatisticsReporter())}seek(e){if(this._mediaInfo==null||!this._mediaInfo.isSeekable())return;let t=this._searchSegmentIndexContains(e);if(t===this._currentSegmentIndex){let n=this._mediaInfo.segments[t];if(n==null)this._pendingSeekTime=e;else{let d=n.getNearestKeyframe(e);this._remuxer.seek(d.milliseconds),this._ioctl.seek(d.fileposition),this._pendingResolveSeekPoint=d.milliseconds}}else{let n=this._mediaInfo.segments[t];if(n==null)this._pendingSeekTime=e,this._internalAbort(),this._remuxer.seek(),this._remuxer.insertDiscontinuity(),this._loadSegment(t);else{let d=n.getNearestKeyframe(e);this._internalAbort(),this._remuxer.seek(e),this._remuxer.insertDiscontinuity(),this._demuxer.resetMediaInfo(),this._demuxer.timestampBase=this._mediaDataSource.segments[t].timestampBase,this._loadSegment(t,d.fileposition),this._pendingResolveSeekPoint=d.milliseconds,this._reportSegmentMediaInfo(t)}}this._enableStatisticsReporter()}_searchSegmentIndexContains(e){let t=this._mediaDataSource.segments,n=t.length-1;for(let d=0;d0)this._demuxer.bindDataSource(this._ioctl),this._demuxer.timestampBase=this._mediaDataSource.segments[this._currentSegmentIndex].timestampBase,d=this._demuxer.parseChunks(e,t);else if((n=C.probe(e)).match){this._demuxer=new C(n,this._config),this._remuxer||(this._remuxer=new Be(this._config));let y=this._mediaDataSource;y.duration!=null&&!isNaN(y.duration)&&(this._demuxer.overridedDuration=y.duration),typeof y.hasAudio=="boolean"&&(this._demuxer.overridedHasAudio=y.hasAudio),typeof y.hasVideo=="boolean"&&(this._demuxer.overridedHasVideo=y.hasVideo),this._demuxer.timestampBase=y.segments[this._currentSegmentIndex].timestampBase,this._demuxer.onError=this._onDemuxException.bind(this),this._demuxer.onMediaInfo=this._onMediaInfo.bind(this),this._demuxer.onMetaDataArrived=this._onMetaDataArrived.bind(this),this._demuxer.onScriptDataArrived=this._onScriptDataArrived.bind(this),this._remuxer.bindDataSource(this._demuxer.bindDataSource(this._ioctl)),this._remuxer.onInitSegment=this._onRemuxerInitSegmentArrival.bind(this),this._remuxer.onMediaSegment=this._onRemuxerMediaSegmentArrival.bind(this),d=this._demuxer.parseChunks(e,t)}else n=null,S.e(this.TAG,"Non-FLV, Unsupported media type!"),Promise.resolve().then(()=>{this._internalAbort()}),this._emitter.emit(V.DEMUX_ERROR,h.FORMAT_UNSUPPORTED,"Non-FLV, Unsupported media type"),d=0;return d}_onMediaInfo(e){this._mediaInfo==null&&(this._mediaInfo=Object.assign({},e),this._mediaInfo.keyframesIndex=null,this._mediaInfo.segments=[],this._mediaInfo.segmentCount=this._mediaDataSource.segments.length,Object.setPrototypeOf(this._mediaInfo,Ue.prototype));let t=Object.assign({},e);Object.setPrototypeOf(t,Ue.prototype),this._mediaInfo.segments[this._currentSegmentIndex]=t,this._reportSegmentMediaInfo(this._currentSegmentIndex),this._pendingSeekTime!=null&&Promise.resolve().then(()=>{let n=this._pendingSeekTime;this._pendingSeekTime=null,this.seek(n)})}_onMetaDataArrived(e){this._emitter.emit(V.METADATA_ARRIVED,e)}_onScriptDataArrived(e){this._emitter.emit(V.SCRIPTDATA_ARRIVED,e)}_onIOSeeked(){this._remuxer.insertDiscontinuity()}_onIOComplete(e){let n=e+1;n0&&n[0].originalDts===d&&(d=n[0].pts),this._emitter.emit(V.RECOMMEND_SEEKPOINT,d)}}_enableStatisticsReporter(){this._statisticsReporter==null&&(this._statisticsReporter=self.setInterval(this._reportStatisticsInfo.bind(this),this._config.statisticsInfoReportInterval))}_disableStatisticsReporter(){this._statisticsReporter&&(self.clearInterval(this._statisticsReporter),this._statisticsReporter=null)}_reportSegmentMediaInfo(e){let t=this._mediaInfo.segments[e],n=Object.assign({},t);n.duration=this._mediaInfo.duration,n.segmentCount=this._mediaInfo.segmentCount,delete n.segments,delete n.keyframesIndex,this._emitter.emit(V.MEDIA_INFO,n)}_reportStatisticsInfo(){let e={};e.url=this._ioctl.currentURL,e.hasRedirect=this._ioctl.hasRedirect,e.hasRedirect&&(e.redirectedURL=this._ioctl.currentRedirectedURL),e.speed=this._ioctl.currentSpeed,e.loaderType=this._ioctl.loaderType,e.currentSegmentIndex=this._currentSegmentIndex,e.totalSegmentCount=this._mediaDataSource.segments.length,this._emitter.emit(V.STATISTICS_INFO,e)}}var Ye=Me,nt=function(Ke){let e="TransmuxingWorker",t=null,n=Le.bind(this);p.install(),Ke.addEventListener("message",function(pe){switch(pe.data.cmd){case"init":t=new Ye(pe.data.param[0],pe.data.param[1]),t.on(V.IO_ERROR,Ze.bind(this)),t.on(V.DEMUX_ERROR,_e.bind(this)),t.on(V.INIT_SEGMENT,d.bind(this)),t.on(V.MEDIA_SEGMENT,y.bind(this)),t.on(V.LOADING_COMPLETE,m.bind(this)),t.on(V.RECOVERED_EARLY_EOF,v.bind(this)),t.on(V.MEDIA_INFO,fe.bind(this)),t.on(V.METADATA_ARRIVED,W.bind(this)),t.on(V.SCRIPTDATA_ARRIVED,Ee.bind(this)),t.on(V.STATISTICS_INFO,Ae.bind(this)),t.on(V.RECOMMEND_SEEKPOINT,ke.bind(this));break;case"destroy":t&&(t.destroy(),t=null),Ke.postMessage({msg:"destroyed"});break;case"start":t.start();break;case"stop":t.stop();break;case"seek":t.seek(pe.data.param);break;case"pause":t.pause();break;case"resume":t.resume();break;case"logging_config":{let ye=pe.data.param;Ne.applyConfig(ye),ye.enableCallback===!0?Ne.addLogListener(n):Ne.removeLogListener(n);break}}});function d(pe,ye){let ze={msg:V.INIT_SEGMENT,data:{type:pe,data:ye}};Ke.postMessage(ze,[ye.data])}function y(pe,ye){let ze={msg:V.MEDIA_SEGMENT,data:{type:pe,data:ye}};Ke.postMessage(ze,[ye.data])}function m(){let pe={msg:V.LOADING_COMPLETE};Ke.postMessage(pe)}function v(){let pe={msg:V.RECOVERED_EARLY_EOF};Ke.postMessage(pe)}function fe(pe){let ye={msg:V.MEDIA_INFO,data:pe};Ke.postMessage(ye)}function W(pe){let ye={msg:V.METADATA_ARRIVED,data:pe};Ke.postMessage(ye)}function Ee(pe){let ye={msg:V.SCRIPTDATA_ARRIVED,data:pe};Ke.postMessage(ye)}function Ae(pe){let ye={msg:V.STATISTICS_INFO,data:pe};Ke.postMessage(ye)}function Ze(pe,ye){Ke.postMessage({msg:V.IO_ERROR,data:{type:pe,info:ye}})}function _e(pe,ye){Ke.postMessage({msg:V.DEMUX_ERROR,data:{type:pe,info:ye}})}function ke(pe){Ke.postMessage({msg:V.RECOMMEND_SEEKPOINT,data:pe})}function Le(pe,ye){Ke.postMessage({msg:"logcat_callback",data:{type:pe,logcat:ye}})}};class qe{constructor(e,t){if(this.TAG="Transmuxer",this._emitter=new(Z()),t.enableWorker&&typeof Worker!="undefined")try{let n=r(82059);this._worker=n(nt),this._workerDestroying=!1,this._worker.addEventListener("message",this._onWorkerMessage.bind(this)),this._worker.postMessage({cmd:"init",param:[e,t]}),this.e={onLoggingConfigChanged:this._onLoggingConfigChanged.bind(this)},Ne.registerListener(this.e.onLoggingConfigChanged),this._worker.postMessage({cmd:"logging_config",param:Ne.getConfig()})}catch(n){S.e(this.TAG,"Error while initialize transmuxing worker, fallback to inline transmuxing"),this._worker=null,this._controller=new Ye(e,t)}else this._controller=new Ye(e,t);if(this._controller){let n=this._controller;n.on(V.IO_ERROR,this._onIOError.bind(this)),n.on(V.DEMUX_ERROR,this._onDemuxError.bind(this)),n.on(V.INIT_SEGMENT,this._onInitSegment.bind(this)),n.on(V.MEDIA_SEGMENT,this._onMediaSegment.bind(this)),n.on(V.LOADING_COMPLETE,this._onLoadingComplete.bind(this)),n.on(V.RECOVERED_EARLY_EOF,this._onRecoveredEarlyEof.bind(this)),n.on(V.MEDIA_INFO,this._onMediaInfo.bind(this)),n.on(V.METADATA_ARRIVED,this._onMetaDataArrived.bind(this)),n.on(V.SCRIPTDATA_ARRIVED,this._onScriptDataArrived.bind(this)),n.on(V.STATISTICS_INFO,this._onStatisticsInfo.bind(this)),n.on(V.RECOMMEND_SEEKPOINT,this._onRecommendSeekpoint.bind(this))}}destroy(){this._worker?this._workerDestroying||(this._workerDestroying=!0,this._worker.postMessage({cmd:"destroy"}),Ne.removeListener(this.e.onLoggingConfigChanged),this.e=null):(this._controller.destroy(),this._controller=null),this._emitter.removeAllListeners(),this._emitter=null}on(e,t){this._emitter.addListener(e,t)}off(e,t){this._emitter.removeListener(e,t)}hasWorker(){return this._worker!=null}open(){this._worker?this._worker.postMessage({cmd:"start"}):this._controller.start()}close(){this._worker?this._worker.postMessage({cmd:"stop"}):this._controller.stop()}seek(e){this._worker?this._worker.postMessage({cmd:"seek",param:e}):this._controller.seek(e)}pause(){this._worker?this._worker.postMessage({cmd:"pause"}):this._controller.pause()}resume(){this._worker?this._worker.postMessage({cmd:"resume"}):this._controller.resume()}_onInitSegment(e,t){Promise.resolve().then(()=>{this._emitter.emit(V.INIT_SEGMENT,e,t)})}_onMediaSegment(e,t){Promise.resolve().then(()=>{this._emitter.emit(V.MEDIA_SEGMENT,e,t)})}_onLoadingComplete(){Promise.resolve().then(()=>{this._emitter.emit(V.LOADING_COMPLETE)})}_onRecoveredEarlyEof(){Promise.resolve().then(()=>{this._emitter.emit(V.RECOVERED_EARLY_EOF)})}_onMediaInfo(e){Promise.resolve().then(()=>{this._emitter.emit(V.MEDIA_INFO,e)})}_onMetaDataArrived(e){Promise.resolve().then(()=>{this._emitter.emit(V.METADATA_ARRIVED,e)})}_onScriptDataArrived(e){Promise.resolve().then(()=>{this._emitter.emit(V.SCRIPTDATA_ARRIVED,e)})}_onStatisticsInfo(e){Promise.resolve().then(()=>{this._emitter.emit(V.STATISTICS_INFO,e)})}_onIOError(e,t){Promise.resolve().then(()=>{this._emitter.emit(V.IO_ERROR,e,t)})}_onDemuxError(e,t){Promise.resolve().then(()=>{this._emitter.emit(V.DEMUX_ERROR,e,t)})}_onRecommendSeekpoint(e){Promise.resolve().then(()=>{this._emitter.emit(V.RECOMMEND_SEEKPOINT,e)})}_onLoggingConfigChanged(e){this._worker&&this._worker.postMessage({cmd:"logging_config",param:e})}_onWorkerMessage(e){let t=e.data,n=t.data;if(t.msg==="destroyed"||this._workerDestroying){this._workerDestroying=!1,this._worker.terminate(),this._worker=null;return}switch(t.msg){case V.INIT_SEGMENT:case V.MEDIA_SEGMENT:this._emitter.emit(t.msg,n.type,n.data);break;case V.LOADING_COMPLETE:case V.RECOVERED_EARLY_EOF:this._emitter.emit(t.msg);break;case V.MEDIA_INFO:Object.setPrototypeOf(n,Ue.prototype),this._emitter.emit(t.msg,n);break;case V.METADATA_ARRIVED:case V.SCRIPTDATA_ARRIVED:case V.STATISTICS_INFO:this._emitter.emit(t.msg,n);break;case V.IO_ERROR:case V.DEMUX_ERROR:this._emitter.emit(t.msg,n.type,n.info);break;case V.RECOMMEND_SEEKPOINT:this._emitter.emit(t.msg,n);break;case"logcat_callback":S.emitter.emit("log",n.type,n.logcat);break;default:break}}}var ht=qe,vt={ERROR:"error",SOURCE_OPEN:"source_open",UPDATE_END:"update_end",BUFFER_FULL:"buffer_full"};class wt{constructor(e){this.TAG="MSEController",this._config=e,this._emitter=new(Z()),this._config.isLive&&this._config.autoCleanupSourceBuffer==null&&(this._config.autoCleanupSourceBuffer=!0),this.e={onSourceOpen:this._onSourceOpen.bind(this),onSourceEnded:this._onSourceEnded.bind(this),onSourceClose:this._onSourceClose.bind(this),onSourceBufferError:this._onSourceBufferError.bind(this),onSourceBufferUpdateEnd:this._onSourceBufferUpdateEnd.bind(this)},this._mediaSource=null,this._mediaSourceObjectURL=null,this._mediaElement=null,this._isBufferFull=!1,this._hasPendingEos=!1,this._requireSetMediaDuration=!1,this._pendingMediaDuration=0,this._pendingSourceBufferInit=[],this._mimeTypes={video:null,audio:null},this._sourceBuffers={video:null,audio:null},this._lastInitSegments={video:null,audio:null},this._pendingSegments={video:[],audio:[]},this._pendingRemoveRanges={video:[],audio:[]},this._idrList=new J}destroy(){(this._mediaElement||this._mediaSource)&&this.detachMediaElement(),this.e=null,this._emitter.removeAllListeners(),this._emitter=null}on(e,t){this._emitter.addListener(e,t)}off(e,t){this._emitter.removeListener(e,t)}attachMediaElement(e){if(this._mediaSource)throw new E("MediaSource has been attached to an HTMLMediaElement!");let t=this._mediaSource=new window.MediaSource;t.addEventListener("sourceopen",this.e.onSourceOpen),t.addEventListener("sourceended",this.e.onSourceEnded),t.addEventListener("sourceclose",this.e.onSourceClose),this._mediaElement=e,this._mediaSourceObjectURL=window.URL.createObjectURL(this._mediaSource),e.src=this._mediaSourceObjectURL}detachMediaElement(){if(this._mediaSource){let e=this._mediaSource;for(let t in this._sourceBuffers){let n=this._pendingSegments[t];n.splice(0,n.length),this._pendingSegments[t]=null,this._pendingRemoveRanges[t]=null,this._lastInitSegments[t]=null;let d=this._sourceBuffers[t];if(d){if(e.readyState!=="closed"){try{e.removeSourceBuffer(d)}catch(y){S.e(this.TAG,y.message)}d.removeEventListener("error",this.e.onSourceBufferError),d.removeEventListener("updateend",this.e.onSourceBufferUpdateEnd)}this._mimeTypes[t]=null,this._sourceBuffers[t]=null}}if(e.readyState==="open")try{e.endOfStream()}catch(t){S.e(this.TAG,t.message)}e.removeEventListener("sourceopen",this.e.onSourceOpen),e.removeEventListener("sourceended",this.e.onSourceEnded),e.removeEventListener("sourceclose",this.e.onSourceClose),this._pendingSourceBufferInit=[],this._isBufferFull=!1,this._idrList.clear(),this._mediaSource=null}this._mediaElement&&(this._mediaElement.src="",this._mediaElement.removeAttribute("src"),this._mediaElement=null),this._mediaSourceObjectURL&&(window.URL.revokeObjectURL(this._mediaSourceObjectURL),this._mediaSourceObjectURL=null)}appendInitSegment(e,t){if(!this._mediaSource||this._mediaSource.readyState!=="open"){this._pendingSourceBufferInit.push(e),this._pendingSegments[e.type].push(e);return}let n=e,d=`${n.container}`;n.codec&&n.codec.length>0&&(d+=`;codecs=${n.codec}`);let y=!1;if(S.v(this.TAG,"Received Initialization Segment, mimeType: "+d),this._lastInitSegments[n.type]=n,d!==this._mimeTypes[n.type]){if(this._mimeTypes[n.type])S.v(this.TAG,`Notice: ${n.type} mimeType changed, origin: ${this._mimeTypes[n.type]}, target: ${d}`);else{y=!0;try{let m=this._sourceBuffers[n.type]=this._mediaSource.addSourceBuffer(d);m.addEventListener("error",this.e.onSourceBufferError),m.addEventListener("updateend",this.e.onSourceBufferUpdateEnd)}catch(m){S.e(this.TAG,m.message),this._emitter.emit(vt.ERROR,{code:m.code,msg:m.message});return}}this._mimeTypes[n.type]=d}t||this._pendingSegments[n.type].push(n),y||this._sourceBuffers[n.type]&&!this._sourceBuffers[n.type].updating&&this._doAppendSegments(),w.safari&&n.container==="audio/mpeg"&&n.mediaDuration>0&&(this._requireSetMediaDuration=!0,this._pendingMediaDuration=n.mediaDuration/1e3,this._updateMediaSourceDuration())}appendMediaSegment(e){let t=e;this._pendingSegments[t.type].push(t),this._config.autoCleanupSourceBuffer&&this._needCleanupSourceBuffer()&&this._doCleanupSourceBuffer();let n=this._sourceBuffers[t.type];n&&!n.updating&&!this._hasPendingRemoveRanges()&&this._doAppendSegments()}seek(e){for(let t in this._sourceBuffers){if(!this._sourceBuffers[t])continue;let n=this._sourceBuffers[t];if(this._mediaSource.readyState==="open")try{n.abort()}catch(y){S.e(this.TAG,y.message)}this._idrList.clear();let d=this._pendingSegments[t];if(d.splice(0,d.length),this._mediaSource.readyState!=="closed"){for(let y=0;y=1&&e-d.start(0)>=this._config.autoCleanupMaxBackwardDuration)return!0}}return!1}_doCleanupSourceBuffer(){let e=this._mediaElement.currentTime;for(let t in this._sourceBuffers){let n=this._sourceBuffers[t];if(n){let d=n.buffered,y=!1;for(let m=0;m=this._config.autoCleanupMaxBackwardDuration){y=!0;let W=e-this._config.autoCleanupMinBackwardDuration;this._pendingRemoveRanges[t].push({start:v,end:W})}}else fe0&&(isNaN(t)||n>t)&&(S.v(this.TAG,`Update MediaSource duration from ${t} to ${n}`),this._mediaSource.duration=n),this._requireSetMediaDuration=!1,this._pendingMediaDuration=0}_doRemoveRanges(){for(let e in this._pendingRemoveRanges){if(!this._sourceBuffers[e]||this._sourceBuffers[e].updating)continue;let t=this._sourceBuffers[e],n=this._pendingRemoveRanges[e];for(;n.length&&!t.updating;){let d=n.shift();t.remove(d.start,d.end)}}}_doAppendSegments(){let e=this._pendingSegments;for(let t in e)if(!(!this._sourceBuffers[t]||this._sourceBuffers[t].updating)&&e[t].length>0){let n=e[t].shift();if(n.timestampOffset){let d=this._sourceBuffers[t].timestampOffset,y=n.timestampOffset/1e3;Math.abs(d-y)>.1&&(S.v(this.TAG,`Update MPEG audio timestampOffset from ${d} to ${y}`),this._sourceBuffers[t].timestampOffset=y),delete n.timestampOffset}if(!n.data||n.data.byteLength===0)continue;try{this._sourceBuffers[t].appendBuffer(n.data),this._isBufferFull=!1,t==="video"&&n.hasOwnProperty("info")&&this._idrList.appendArray(n.info.syncPoints)}catch(d){this._pendingSegments[t].unshift(n),d.code===22?(this._isBufferFull||this._emitter.emit(vt.BUFFER_FULL),this._isBufferFull=!0):(S.e(this.TAG,d.message),this._emitter.emit(vt.ERROR,{code:d.code,msg:d.message}))}}}_onSourceOpen(){if(S.v(this.TAG,"MediaSource onSourceOpen"),this._mediaSource.removeEventListener("sourceopen",this.e.onSourceOpen),this._pendingSourceBufferInit.length>0){let e=this._pendingSourceBufferInit;for(;e.length;){let t=e.shift();this.appendInitSegment(t,!0)}}this._hasPendingSegments()&&this._doAppendSegments(),this._emitter.emit(vt.SOURCE_OPEN)}_onSourceEnded(){S.v(this.TAG,"MediaSource onSourceEnded")}_onSourceClose(){S.v(this.TAG,"MediaSource onSourceClose"),this._mediaSource&&this.e!=null&&(this._mediaSource.removeEventListener("sourceopen",this.e.onSourceOpen),this._mediaSource.removeEventListener("sourceended",this.e.onSourceEnded),this._mediaSource.removeEventListener("sourceclose",this.e.onSourceClose))}_hasPendingSegments(){let e=this._pendingSegments;return e.video.length>0||e.audio.length>0}_hasPendingRemoveRanges(){let e=this._pendingRemoveRanges;return e.video.length>0||e.audio.length>0}_onSourceBufferUpdateEnd(){this._requireSetMediaDuration?this._updateMediaSourceDuration():this._hasPendingRemoveRanges()?this._doRemoveRanges():this._hasPendingSegments()?this._doAppendSegments():this._hasPendingEos&&this.endOfStream(),this._emitter.emit(vt.UPDATE_END)}_onSourceBufferError(e){S.e(this.TAG,`SourceBuffer Error: ${e}`)}}var xt=wt;const He={NETWORK_ERROR:"NetworkError",MEDIA_ERROR:"MediaError",OTHER_ERROR:"OtherError"},ft={NETWORK_EXCEPTION:j.EXCEPTION,NETWORK_STATUS_CODE_INVALID:j.HTTP_STATUS_CODE_INVALID,NETWORK_TIMEOUT:j.CONNECTING_TIMEOUT,NETWORK_UNRECOVERABLE_EARLY_EOF:j.UNRECOVERABLE_EARLY_EOF,MEDIA_MSE_ERROR:"MediaMSEError",MEDIA_FORMAT_ERROR:h.FORMAT_ERROR,MEDIA_FORMAT_UNSUPPORTED:h.FORMAT_UNSUPPORTED,MEDIA_CODEC_UNSUPPORTED:h.CODEC_UNSUPPORTED};class Lt{constructor(e,t){if(this.TAG="FlvPlayer",this._type="FlvPlayer",this._emitter=new(Z()),this._config=se(),typeof t=="object"&&Object.assign(this._config,t),e.type.toLowerCase()!=="flv")throw new ue("FlvPlayer requires an flv MediaDataSource input!");e.isLive===!0&&(this._config.isLive=!0),this.e={onvLoadedMetadata:this._onvLoadedMetadata.bind(this),onvSeeking:this._onvSeeking.bind(this),onvCanPlay:this._onvCanPlay.bind(this),onvStalled:this._onvStalled.bind(this),onvProgress:this._onvProgress.bind(this)},self.performance&&self.performance.now?this._now=self.performance.now.bind(self.performance):this._now=Date.now,this._pendingSeekTime=null,this._requestSetTime=!1,this._seekpointRecord=null,this._progressChecker=null,this._mediaDataSource=e,this._mediaElement=null,this._msectl=null,this._transmuxer=null,this._mseSourceOpened=!1,this._hasPendingLoad=!1,this._receivedCanPlay=!1,this._mediaInfo=null,this._statisticsInfo=null;let 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",s=f(4977),Q="data:image/png;base64,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",B="data:image/png;base64,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",o="data:image/png;base64,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",t="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAADgAAAAwCAYAAABE1blzAAAIeUlEQVRoQ72aa2wU1xXHf2dm1jYEBClJGgofIFJLU0W04AdQWgJSW0UprZRIpB/aJBTxStIShWchJvbytA2lBCKKeajhQ5s2tGpFK1G1UowqKNjYBkraJCqqiCDEDZSncezdmTnVnd2FxaztmfWaa632w9459/7v75xzz71j4R61ssM6TkrYqMon3qesPjFNLt6LoWWgB5n1ttr/GcMCLKrE5qFgPJf3gRXN5XJgoMcfUIFlR/QxiqgVhyfVA/MxTWKgPuZvL51UtUyTjwdK6IAI/NLbWlQylhctWC0xPuN35Zi+gFUMfpIzoqxsLpffDoTIggssb9KvqLBJYnxD3dvUepq8OIAPquxzfCobJ8v5QgotmMAxDVoyYjAvi81KcRiWk1qPKm/RPIvHqy2T5FeFElkQgeVNWq42m8TmcU0G8ZVXC2ia5vOW47Lq2BQ5m5ehrIf6JbC0WQdbsMSH5ZbNED/R3+mYDHSL5kcqVLZOZB8imq/lvAWWHdWpOGySIqYEwvKk1mtsmtl5/M72WNk4Wf6dj8jIAqce1qGJEparsgSHQVoIar3M3GRadWnDp+rb5eyJi0RaykgCy47q9DS1srDUvLRzme+YFXhg5CY2YD4uf/RdVrROkffCGgk13vQTOrzdZZUKi8SmOCy1pMLUYfCDkfD7T+Cvl1PTckKNereENM1L6rFmaAc/PzRD3L6E9jlUabN+Swj2tfFB6o8Q7h0e/GQMPDcy9djBS7DjPJzthOJ+0lSPvzguyxonyz96E9mjwIpGHeGZ+lFYiEXMpP+ozQhcPgZmj7z95MUE1H8Ef7gIhnCszyXOPWqa5lWUDVcvsu3Mk5KrXsodEhUtOtNT6qwYj0allj2dXAIzvx+5CtvOwT9vQpEFVtTVMzuK8QJT1yY55HssbZ0sLd3N3LF+k47pZ70YcZS5WNj5UAsr0PS74cG+C/DLNrjppYTm0wKaSW7gUxvz2HL0q/Jpxs4tgeVN+rRvUWPF+Hx/qEURmOl7uh1ePweN11Iua+XjtsYLUjSP+BZLW0vlmLEvk07paK+LNWoxWwQxBXKhWm8u2n2MpA+/+S/suQDXvfxc1ti0ioIC/ybK5o5BbJbSJj1pD+HLXnu0DBlmEaIIzNjbfi6VhErydNeAmgX2MPCu8ZxMaNJptlBjSi6zv+VbKOcSHFVgwxXY/CFc6AI7Hzc14kzBni7xPJtFgZnxp/S+WJLFAsvEYWiko04vKMMKbOtK7Y9/+h/4mmchkFWkWz6VxyvkzYBm9vzKjmsFFnX9PfZkbPYl0BSVBy7CzvNwvqsfm3/WMct1WXUy65h1lyNMb9CS9iEsUouVls3w/tDsTeCZDjDxduhqKqHk5ZJpaprgQ/VZleug3KOnl/1dJ6QvjL4Z5uohbAx2+fBWG/ziY7icTFHLp4W96ug1lM3l0eCxvIhQicWIqBu/IbhyLDz7cErCiRup6qX5ej/2u4iXVaFyVdlxfUyFN0UojbJPGlozH4B5o+DAJfh1GxjR+VYs2deNFrx2vELa+qIfSqAxUtqkW61iXvY7+zJ55+/mFGHcsN0FJ8+a89Y1RoL3xWVF85TwF8ahBZY16RtSzEtRBRq5RmTogbqtn6GGh+vDThHiLWVyadYstffvl/Q1cu8LHnrc/giMxjzdOxNrCU6rsry1Qv5sflkQ1x8qjN5VJWvD2C2cQGMpwmG4t8lJUUAtobDds1l3coJcnVulox2LdU4xzyc62berWmbfG4GSKo80SVKK0gfjfIWaGDXFcoJW32dZ6yR5x4hYuEafUaixbcYaX3cT7NlVLfMGXGAmq4nPHlz2YvMjbJ41k4iSbYOSylBz6VThZ+2dbPzga3Jj4Todhcd6FZ4XAd8DJwZucqAF3q4gPgCWZ78GK2/S76nFBonxSKhzZfoc5ydpxGNpy2Q5HFCr0mew2WjZPOJmXZcMuMDgFZiPi1Dv3SRuXmTOqdWhRV28ZHkc3hGXw+VN+rAK67GYjWD1VCAYd/Q9borHZrWpaymTjoWv6igtZh0E59OAWnYbMIGljbrDGc4L3g3eRQNqB83A89bo4zb81HYodV06VKkb+S4b4/slMbFRn7JsaiTGF7JpZu5S/ARH8FjSMkUaja35cZ1lCTUBNXPwzhHLRmAywd7dcZlb2Bhs1C3EGNTlsOr0eLkyZ7kOdYawyoJXRCj2PDArbjvguRxVl1d2rZXGCa36oO2zBmWexLCD+ExwHai91M6WszOkc06Vfi5msc4QNzmrO7VsIbEiSCTYubtaXiiowNJmfcBssumVniGw2XaY6Jl3gN1W2oj0fTrUY9PIf7HB0Cxv0ifUZhF+SlxzuZy4i1ofV5NOyu5ltXiqvlL+VlCBGWNzV+vX7RgHnRj3JXPeRKZ6ZtP0fBbviacugTItoOakY60PasalLTuIx3dIsrh+rZwKIy6YR9iOmX7z6zUmbTwhQq1l82gugtk20zRvqrKJDrZeKaX9/vd42oIay7kzQ+aaS/C8x3WEtZc9tu2PS6TXPZEFZibx4w36YMKl2lRPIti9xY2haQh4LmcQbqBMSBPpcX2zPKDB91m8Oy4no8LIi2D3QRZW6Uxs6sLQtMzhNkfq724zTf2aKutH+rwej0gt217eBLONLKzWh8z/wWgImr1RCKgZ0h4N4rJk59pUIupPK4jAzAQWxPU7QJ3t8MW+YjMXNfW55ivriy+xbfv23C9ToootqEAzeEDTplqV+X3FZibbWqlE0iCwZOdr/adWcBfNtarzqvS7tkWt1QtNE2uGGrAhNpzXty8qDLV7IjBDUy3ioszHwspk2lux5tOgHkt3xaU1quuF7V9wF+2Rpk0dwjhTXypcQ9lYdD9bB4LaPSPYPdOqsAcYh8336yulOSyF/vT7P83Gv9qVBJysAAAAAElFTkSuQmCC",i="data:image/png;base64,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",b="data:image/png;base64,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",u="data:image/png;base64,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",p="data:image/jpeg;base64,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",aA="data:image/png;base64,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",sA=f(31138),BA="data:image/jpeg;base64,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",PA="data:image/png;base64,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IsDAAJyemyeO7MdfzRKsDvpGUtAaZvuSQyWE5o4HtL0ZeS73VYKOxngBGCCVo10Fe3A20AE7QDbdwDWAFwGakmY+EPIKTWMACmMbMiZ18+J//6+Xflf/nhN+U1+YuIhpAbuSJh7CCBIAErgRsCILZPxZuO3CnvGy3LGBWhVp7mJWeDI12gUETJ5q2uj2YaXa3Q00pZ542X1q/o3NAOFgSUufYBjLTy2A7vpfmaXJmdkbdHx2TrprJsq5STehim8FUkLVQAA4YblInv4AFnbFypyaVrC3L59LNyNbzU81Z/Dfen4sp92+XwT9whnzo8Kb+6eVi2V6JEeRMsGMWeWLZaLguCBbSj8ofSpsKHIofCBpDAfQ0AjPXBuh7oDoH1AG3QX/ez4NTQocUBgIOuEwAB/AEkaGvFYCUBCQAQGAs0Ye2gFYPWD/B2fkHePn5B/tdjZ+XPXr8gJ4M7Yw3PU+gaJNBjCaw7gEAlydu2yIOjVRlHvIMvfkDP0VWyPisFlaC7ay/S1kdf09FKGDEK4DctQNLlm985zzTgkremjA1JG5t8mRe6itsgXczHtAEyaErFBnledz5G1lxbNEoSRbGUGiWpLy0ZMHHhx+fljExFK3nzCPc7k8D+L8a77tsqv/LYbfLp7SNyFxQ5/mgxMIqZFgFlJYBSJgjQAAKK2cQhAAzYHT/uo61xIViLBmgCPMAaoGMm8LJAzAOBh7ZoANi0nnfrCiF4wL+gifEJRHAN9OlGMUAoao/JcdH+7Rk59uIF+dL3zslfzvxWNNOZFEPrIIEggX5JYH0BxFRceWSv3D8+JNuhVNNiBlYpYieewI0HyKKh27qxBVn33PHxPS3mQN/z9XMXLi1GI2uB3ZgKA5icmI5u+EuTib7OcXx8w90BXhZXZG6mLu/OzsvF05+NFvv1sN5qdB/6k/iRn9ov/92+zfIzw1UZoyWAyhZKFooZu3kCA4AK/lEJU4Ev1xMFTsBAAEBQAmXO/i2gYWMmjDsElg9LXFsUfOsCcABasC5o4MP+ePHws47FwDXc0+BodkkuvX1V/vrrb8vvvP6b0Vu32nMQ5hsksFElsI4AIo7u/kM5vHtCbo9s9kJanIAWlq5xwOv0+6fVQnDb4XteTII7JvvosXS8QRHezYvbxjRkjc+x89r4Yjrc2AxfLYm0uI2sOXRSH8PETEQSLSzLwrWanP/hspyWJ6LljfrQv1f4+tCfxx//e0fkS8Nl2YNQBypa/kslDiCAa8iEAKBQz3/rM10cjJmgWwHXoeDRF3+wMAA80DLhxkvo/gQejLfA2KALQNPiUfFDHnmPAIgWFcZB0AXCwNCVuomHeOf/Pi6/9KNPRS++V9Yv8BkkcLNLYN0AxK6n4u2HJ+Qe7loBIho2Y6LckAif8W+ewN12Lo3Wy9NDi22NYnfu63vksRlJk+1wH9db4Edle7j8543j0iTPGC+N/xiuAwu8fDLScnDvp93TfK4CUA2JMB6ucUx+N0rD8sl58B5dNAtNmTt7Rd48/dloOm89w/10CXz4z+J/9Imj8r/DdQUlb4IhrcvCrE3UjoXQgZN0X6AN4xjMM6+UOV0bOs0SbQgGNFfGYmHdGq4lgpYE8KdjGQAiYE1gPAZdJkgTxT18H6rY2A0LOHCN8wA9jgtelmpS+z+Py0f+5jeiZ8MzEyQQJLAxJJCrsHvC5uNx9QOPygPVioyVlJJ0aWsl5VNcWqHl8aVpuW1dRZynnNnfx595SXuUe5oCxtj6XhrNIrLRbdzx8uTTyf00+WSN2YikOX1NTr3yLTkdAi07kXa77d/68/g/+cRR+dfMhGCwYytrAmfVW0WrMyq4c4cCp/sAlgH82GmtoIvCxDTYIdle08JYaOOmbIIXAAFmfWgrAoAALBoYm+mhrrsFQ+Ia01DxXbtWCFQYzwF+/6/j8pMvPh490500Q68ggSCBXktgXQDE0T+M923fJPugVJAeiEk0c0pPo51pg5Mo7amUZvLudysR0x4+ed2W0uJplureKj6c0y4JclbxmHEipn35rQpKTO0LHpoSVUsSw4XAdigEVHNWlzyaadt4A46VJ78WKSWvlkyVzHxrsWpcu076GmnDzQGevWuKQ8tE5FpdLj1/TN6QL5um4e86CZiU2rKMS3VbTSqNWErxoETxkkQP7JFf/oXD8i+hrKGMqaS1gteFowgOeA0PpIlrUFkVVPiIUUA7gIPWrt/GR5BFGixMAKR9U9CiwIwJghoGQDKrgsCFrhO0NxYKVciK7hB3DgQder7LNWn829fkYyen5ZgWYTQkcbQscWVJGhdF6nJcagGwhp9ZkMD6SKDvAALFovbtlfsqFanWlQm+4qneqKfMtm47KE6fMkP7PJqkr/nANbcfNB2tFFk0qcTBTxpNXGddBXdJNc/ufLN4zOuXxrMrI3cM3yNHWmltcT9trTj3hUWZfuGcvBbqRzgSfjyubrtHDoyW5JHhqnykUpKHqiXZHUUytNKUaO+YDDy0S0YhYzf+QVOCTtb1H5jmqWMN0B7XCSawo6dLBEpdp1/qzA20ZxVLukCo2EHTBGWqypcaDDAzQ2d3EECYgExbt4L1J8xv0Y6HgE/72zRzW6xJ/NI5uXZtRRqohNm0cL2Kg/aaMltryomFmnx/ribfWF6Wl8//tlwMxafWR4mEUW5dCfQdQNz3pfjgWFV2tvzmOTv59ViKRknisuVDf3bHzrpXlM+iNNAONIvwpcfutp+PBq+Rh7w5Fp0bYiPml+TyyxfkzQAirFSn4oF9m+Xh0SH5xUpJHi2X5WAlkt2ozUG3xOZBkTsn2rEC2P2zdDSoMH6BSpvxEVTwegfPOgvod52lQlkeNDhgO6Z9QvkzwJLgRGdyMCbDtZS4fK6yINg4Dj0u7msaGHNmSeStGRECC03DntR7rSlyaqUhP5pbkm8tNeSrp/9Z9HreMxzuBwkECXQvgb4CCFgfbr9NjkZlqaTFNOSxrmMGzEtTxRD4+hYZJysOYdXLrUdjgWbR+A5ffERW/Qh3vj756DY++fhiQvLWpZP7oN8sS+nyNTn9xhPR6U763pRtn4yH76jK+zcPyn82XJF/MFCWbSbOweY1MoYBBZe2DCX/D9uAQ1oBWrUbVI1pKnwNEpi2qXf+WkGbZ1OlThqXh3UzMDMDbUwchEoZ1evSqkJp0zwZa8Fx9HkZnCP7uGmh+j5dGTPLIufmRC4ttGWkQRLmrc7VaCzX5cdXl+XfzK7Ivzl/NRSfuil/Q2FSG0ICfQUQ93wpvmO8KrsR+9DtbPMAg0u3CIDolpde9UtT4mmBn5WGRPWUMz56xRPBmQt2suh3szbvLsqJdz8dXe4l3+8tWnF0x7+Q948NyhODFfn4UEW2Mk6AlRthLaCCxeddoyJbhkUGSu3ARChzBlfqrAsGHZr1tC4GAgoNHOhCYHwDsyloWbjud+VUu6TlQQdgkn8dMwF6mAuDJXUbjEF3CTMw3OBJWBwuLohcWmxbHwzvKkBUAwgDLGJpLtTkjbma/NnMivyrS78VnX1vPSOB2yCB94YE+gcgcMrmLjlSGZTRUl2a3WYJuH77vIyJNH+8Xg5NI4te3lhF5uRr44t3gJ+7KF/uXFzln2ZRcC0vpKN57CSWJO0Rd+fXSvMsSYRzNV4+LT/2ujKm4tLEZhmfKMvd1bI8WC7JXaWS7JVYtg6UZGCwImUqPlO2wGYCQFMOlUUmR6Q0OSjliREpbR6U0kjFBHJGy6zSiMJLthoj/OgMXIU/nWZ2muHducE3jzHhLuC5DmhjSjhbugw6xHCIN8AflL5JYbQa+sqSlM5ck00/npZd9aYMwbKAP2ZF0BIBpctaDTgrYtcmkfGBdoElKt8VB5q34g6sJUGnblJ2GkgQfPDcCpbFJujQgMKVjXZNuG4LHUSp3R2MteA10ADP2hVC2YPG5cXkf8iH4EO3xXW0g5WDsRzoj2dwcliu3j4mF7aPyHK5JDFOGa2Uk/H4xzXFPZw+OmiLcy3gULH6qtTXuIpU7pI0I4RBx9Ko418+E+0lNqQteGs0Yllcqcv05SU5fX5RXjkzLS+9vSKvTT8h10KMxntDSQYu0yXQNwCB8y727ZXDvpMkfez4qh+aH2JZYl2J0a3K6FaUzBqvaLXGtNMv1zIX39i+SpBp7YqOrWWbNV/K1rwAbU2MvPaknbZWmqbmQ/MOoHRhXk6f+Ex0ftVz8Hhc3XVEDm8akocHq/LYQCT3lMpyoNmQnQNVGUYEP5Uho/e5e908JLJ9JNmpI25gYig5oAl1BvBHU7zOANCHS3HXy7oFVLCuUtPKlidPgi9eb2U/WHeErqhIhfzaZZFXLou8Md12HWgXApShLqREd8b4YDI3HLuNedG8D6CiFSt5ZhwF5qzbEiCYOdtzNPCvqdtgS1ybgEy7OHQpuPUiGABpgh7t+Re0BOjv5lhxHI5lz7zg+Rw6iJIyJJCiDBZqSezDkj0zw9TCsMpZp3fiuj5llAocMjsyKXLfdhF8ply1y4XywjyxXrrEd2vutjKmloEJ/LRpqqwQyrUib5TDUk0W5uty7sKcvHFxXo6fuibPnbomP3jlnIkJ6to6GxRbkMCNlkDfAMSdfxDv3LpJ9iAlckUVbepEQRI8uMouTdFllav2KUwfQOl2QYooeHc+WeAnr+S1C6qyQJmvbHeR8thpgMAFB1ngjwBlVcnxpqy8cE7e4PkZW3433jw2Io+ODcgnxgbk58qR3I6DGptxYnHQ5Zm508U17Dq3DoscmBC5fTxREnq3ixc50x/RXscIUKHzB8DgQG1KZ5wBFQmUFBUilVHL924D//ROnMCE8oKifOa0yGvTbaVIIKLrLHC+uEclhXHAG6wQ5vTKSnvHzaO5OScofyhqyo5ggFkYDKgkr5w7D9xyFSB5UHWoDPhAfwIUPY9WLIedOKwkmBODMA2fikfIBf+DBkADDtkC6MP3xVq7/DZdMlxjLTOurT6mHPfxfHxkn8jesfbZGwSIBEzkC+4SzAvf8Wzx2QFvBGFuSi1omeJbNoME66LdQbTEoF29Lo1SJLWZZTn5o0vy/7x0Xv7y1Lvyw4tT0Vy3753QL0jgRkqgTwAiju77khyoVmQT3BerFE5KhUOa72nudt0e3uBCVcApzx/v3tf08vp2s0A+fula0ON1y0eRglTadWDAgEqjzZpznutGyyNNru54LuiYWZJzsEKMPxlP7hiSj41X5R8PVOTRKJJJvuDZh4pYpwzC9L9vs8iBLYnlAeDBvKTVgVMaMEAhgA7N3RxD79ipgKlYfbtaHfRHd4Pmk24H3tM+f9D7ylsib125/oliYSYod320tS4EhV6u5QTXtHLTdRpaIMn+ynW2BudIBch6DoxfMLvnxuqzM1qKV4El8qploGfHehMAPaANYADaeh768C7OkfOiiwJ9uIY85Ivz1jt/yl1bj37ugMihLe1TR12QwRgUDSBIWz8TOr6Ez6R2CzF2Bc8I5ql5AD0NJhbrcuGtK/KtF8/L//GDU/L1K/9tdLWb90zoEyRwIyXQHwBh4x9KkZTrTgAllFMVQYH2Or/XbJAg7hlFEEkTu+Qq6gzgswM80CYrswF0SNNVZhyTgk/jUS8MaJE334Lpsdyx+Z3K1vxr5+by6PLGsdzx0+Sj50r5kG9NoyV/y4c7J3c++j7Xg+uYxrO7xq25oIx5U5YuLcjspmH5+fFB+SeDZfmJqCSDeIkbv7g9AtoXYAhlBIsDLA9wXfCIadflwJe7DurjS5zKFO4A94VPOgz+c5UBlRnmo+9hJ4qxAG7QBjtpXqMF5CtvirxxZXWaIoGOtjbQeuJaF3T2gt7pUtHpdUJb9ueuXd+n4mWmhn4Z4B6uYz2gGN0sDjdzo2UVsKW2GdNBvhjToV00+phvjAVZsuqly7fbn1Yayky7JfSBYfj80TtFDk+2S2sTlGCOLfeOrejJZ0aDAeOisGuLZw1taHHR1jECLH02CJ8lV/6gs1CTudcuy3dwVPkLl+Sr4aTR3qrCbb8Xj20dkW3Dg7J5tCpjQxUZqlRkAJXZmw2prTSk1oxlpVaXpfkVuXqhLtPnnpbpUIis+Dr0BUDs/P14dNdm2Q/FUlYWiKYNFKSSKyG9z15Du0al5XpddQYDFC7aZk0LdMzLyrbDd93H/c6x3IBDF5j4ePXx4c7TNzZ5IK9Z8tFjcP7sx3lSdnny0TLWfTiGL/vDnY9vzq7VyAVq7KPXGddAG6m9i3W5Z3RA/otqJB9uRkn9A/yxvDJfzlTEfKnD8vC+nUl6oxvxr83vrfGtn573oKjMwVNR4g7Ag2V2n/asCfrktRWB97RVQwMWKh64CZhySRM4D6YC/199qw0gdMEm7uRpCSDvhq5TF4FyooWEx2JTbvrES1oAXDmZ0zIRl1BZXe6aio4vBipKXfKaoECDHMgS8+NOW5eypmJlPw2UjKXDBkISZLE9rTfgEeOTtj6vQ8dEoJ8LPCCjjx5IYiG4nuBNy16DSfTH84b1wDoyvkEDFQIrjMc5a57xDMBFQ5mTXw3ECLCW6rLw5hX566fflj849px8O1RsLa68VreMowO/K+MjW2Tb1iG5Y+eo3Dk8IJtLsVTLZamUSlIuxVKOIrM/QWE2U4sMAbEIWYK3sN6QeqMpC1eW5fz5OTlxZkZOnZmTWbpau+XsZu7XFwCx//PxxJZh2WMUipN+6Dsemv74tJiAvHgAr3JzjgF32xQ96pv9dPyCb7wsHrPiDfLiNtLG98WHpD2oWuZFAybzAiV9NN3x02igXHN5QO6qivxyOZJfiEoyxl0jAYRRBhZQaAUDnzaC4qAQGK8A5UVFRAWoXQlUwLxH8zMVGsfifb7otTLSyoz9uYPVbhMoI4INKl349UELYOWvToi8Pt2O1QBdWi3AB2Mr3B+mnoPeDaMvggx10CRBjo7T0DtltEUfuksAEsgHQYlWxq0YCGzdrKwpO/QFP4zJoCIl8IGyZsCl3vG7FgVadRjnQHmDHuWjs0DQnvf4nHBsAkJ8B18fP5RYINAOMmExKh2UC96wPqAL2WAsukz0ehMocnz003EPLmhk4CWfRw2KKfPZFZn5wbvyr144L18+/hvySsjO6EDlTsUD926XO3aPycHd43JodEAmY3tcgj1tWOPp1iY0iiVGfR03eUafQrzSkKWL83Ly9DV5Y/qyvP3O70Qe52MHvN6ETfsCIHDy5vZB2dpLeUWNxAIRl7NP7CzarhPeekkTtPLm4AUoOf18PBbhO4+fvPudyLHVNpYdwwPyyXIkv9oU2aHNu/hMc7kJYrSnQOLFj+tHtyUAArtDvuRpyte88MEmCOAukDS5mzXbD5puHCcAACAASURBVGue5sudyoEKyTx3tuyyG1ehTeemnbIW6PoHoAn6334nCaKkgtQBmjTjU9lokxuLM2F8WgUoJw10NEgyClQFAHI+DASku4AmeVw3wZo6WtLOScditICWrUxJ8EL50zIDnt2MErTRtSN0XwIVd00YL0FrANM1ISed5aErcdIyAVDwM/sTlxfnQMBBxe+Th3bBsOS3AXiI4bABk8zYIF3MmweEEUjocuF8dlyAh+9n5+Tks6fkqRfekj8Piir/rQIr98Ftcs/uMbl/fFC2DUQyZKwITZNtLTaWtUWoLhLra/jOm+51fGd7WEoBSJbrMnN2Vt44cV5eeDOUSW/JtS8AYv8X413jkWyOKhLH9bbCx3f9aPCeez3r8cmiZ17gajzSIX3feLhWZPw8XjUdl2bWvfyfin9OWXNzZaDnX2SuLk9p9Hy8p60PriOHvhHJUCWSRwer8k9LkfykMaVbhYWXrg70w8sYL3kqlG0jIg/uENk/0U4NhNLQwXTaukCFqY+0xjVaLrTlANdZMZE0uNvkORMaUJiXlIrT8LkacI1Bm4xH+JsLiQvjwnwiPZ1ayEBKXbtBB+6Bhluumj8ogh4XQNCioPmjosb4VHr4TFcRZE5gRDeFHgfXeAgXdvN0u2SBBQ2uaH2g1ailUM2rP5mjjo9w40E0wOQ9yomAhEDxtjGRR3YnKbA8RpxrxzRb9HHTcgnm9POonydmrNCdAVChDwvThbPw/NBFBRkZ3myMCddipS7xyxflL79/Wp587ivyXPDDp7wZp+Khh26Xuw5NyAfGB2ULXBL1hsSwKNhnzPwLN8UqXSMS62vWM2iauNfxnfd5r4wjHZEptCJLZ+bk+I+vyvO3dkG8RLp9ARBHPx/vjqsyVo6k2UyxGJQaprxxEregPvM7Fx9tcF9/T3m0Cl92x3M7cjw9dto8Cg+qGmr63fTP6uObW9H5aDnrMdy5p/GfN7Z5Hpqydbgi/7hclo9XSnKAlgUssLtrYywC2uBBuX9HEk0PIKGtBDpFE0qCRZx4cJQrLzfCnoqB9SU0PbevHpcKmG04tt7BM/6B/nBUVTw5I3L8kt3N2idbz5/0uHvVVg+mTaKNLj5F4GB25ZYAd+G+52UVTRskydRJtCeA0LLCdShM1kswtSMsca0QOR6VuubHuHdU8KIBh9btY+jbol5GGZfbmSCcHwGPXgcdN8LnCfJGyiueGQTbkpaxcNlMF9JsgQDnHgGdlh/BDa1eOp6CwJTPhQFINusEoIzPGS00OqAXIOPdWXnhxYvyv333LfmT878dWYjZ6zfEe5ceTnU+skN+cnJY9saIi8NrIF6tw6LIAgnPdd2W7SAN9zq+p9FBcAuMenN1mTk5Iy9873vy/K0ct9I3AFEakFHUgEgz12vTOD67x1WbhS1LZHauKpND0/NZG/jz0Dtt13qgx3OtE+ivr3EOtCKkjamtLT7Li+6naRb5OWdZDbKsA3relDfdGlreWma8r/ly15C03LHd9abM2B7mxWpZ9g2U5b8vizxUKcsWs84KyWInSCVBNwOuQaH89D6R3ZsSXzUVm1acxhSvdsR8Ubtln7mLN4pSWTBcv7veNbqWDcqHfNAsbtrZOgd0v5BH8oEzHV6+IHJmru3K0JUWXdO4m3HAmhDgF1YDAg26STSwYcwCZawLJWlFxwBV+P81zbQ0TaN0bSCqDt6kYteWAI5DpasBBe7ptgSR2o1Dmq31tARoqWGhMJ11smkgAQ73bk+sD6Cng2eh0AmiaPnis0B+jMuEVUzVmHo9CHr4LOmASfe4cv2s6bXiePMrcvbVafnmX/5QPn36s9F0kXfDLdFmKh74if3y6MHN8v6BsgxiWVa9nyxY8IECfY19NEDwAQhXpi5IMWsdSQlWj/OLcuIHF+Tpc09EF2+JtXAm2RcAARfGpoqM1lZW14AYUNaIFWVV6IfgXSWeNgbaVWMpaX7Ip8tjFs0sALHW+bk8ZvEB3mtMkfW4c9bKCwFWFnjzjQGeK/BPluXukQH5cklkb1SCq9JfeAcvaV05EooM0fQIomQlRvTlDhAvZ7RhSibuuYGD2pXBI69pitcxEuSfPnIWWqJlwyhEa/7X5ZwZk6EDB90dPJQ+6KE8M2IhTs22ayPoQEj0QzvQokWEytVkCFQTxYsATe66qWD1bh28avcGFTN37azNwCwKADCACPzpMzloktfmd20F4HWjUK3rxmcV0aCFNHXtCgIdHfkGPrA+DNgkb6xOCpkSeNK9glNMj269PlNHy0NndRjQalM0WTmTbdNcSnxOdK0PlgQ3z5+iaXi2xcwIFgkorELCHGAe/9GfHpOPXVeptRc/3PcgjT2fi7c9fLt8ZHJY7mjCVWFPLd5AUynX6jJ//Lx88+XfjF7dQHytCyt9ARCHnoq3lyPZBKWhd7S+naxvlrqdu3NGe59Vw7dzdmmzn4+nvGscN20c0C7KQ5F2mvci881qo+ftk0GanIxyd4BeVv80GbAPguCrkdw/VJG/GKzIJiNTay7XSscNPMMLF6DhYwdFULaagYEEEMavLG3LBHbQUF7cGZM2lZdOA6Ry0ql3hi+rwXAfipq7XJ7doJUnLQ30ddP0zXoWlC/oME4A9M/PJ0dUA0zMrSRggIoG4+ozN7h7p8+cLgZt/ucOnOO5gIJzILDSNSWoxOhS4HeuES0wujQ2FSwzaFxXBXfZDABlHIZ+6XD9QQuy0dkZXC8NIBjEiHY6QBQAApapiUGRHaOJ9QH/alcNXSoENqBPixWtOlxrrrP+bTAWxszDpvxSBqBNK4fOfuEzyLVgbAWfWbq20BfBeleX5dwXnpZHX/ts9O66aIANPAgOY7xrUn56fFC2IsWyE1axRG4cRCf9vXopnWa5GcnKm5fluedOyfO3UnnyvgCIvU/Gk2MDMhZVnaDJmgqodO51srixosN+7ljeB8D2K9K2E346aQveOx2f883qp2XSKf1O+TfAoov1ixekJsPy0Kaq/LvBipS0gnPz97UCw8sWJulPHEnOguCLnMqBZmaa591TIY1StKZouhGYgcDdoFYqZn4IcrPZGQQqRmnx8CtWVLRZIq5yMfzbEzPJJ0sn0zeOsQEcEBcBS8TZucR9QBeOCwA0ANG7e7eIkgYQ+p7OENG0SUsHXFLZu1YGni8CK4WWmc5E0BYQAh/ywZoVBAeM2eD6s/YCgw21xUMDMfYn4ABfAAx7NiX/Akjo4Ff2dZ8Vgja3zgSDMPWzwxiHlotH1b6gq4h1NzieLjnOdGSm+nIMA55sOu9yQ+b+p+/JPW9+KjrVye/yZmt79x/H+x/YLj+DjUYjlmbZxjZgno1YIv29tbYp17uRDcaw76BVgf/uWGzHtm9dlZe+e0K+5z0ssBtGNnifvgAInG0wOSbj5kWckX7p7vqLWiuwox2stMHIcr1t6XCtF1r+RXbpmmcvCFFumG6sEQODUgK/HMfd0fu+Y656ji5f7OO2y7MWkE4Ri4geA/2y+El75htNqeGwrE1D8u9dxabT+ajcjIwsMQCIX7q7bQbmS5cvYW06ZhYi7hEIUOHQKmDuqUBE82KCc1WVWeaOmDET2OGin64wie+M7ucOFLTouqBiwDUoDgIQXbgK10ETykwrZSpv7tL1blrv5jUY0NkSrksEPBh/v3MUNtNNtStBWzbIB91KrKWgqzWmvUjAG1NVOT6tQ1S62kLETBj9PKAfwA1dCbTMgI7OFgE/Zo2se4my1G4m7TYwgMzG3LhuCh844jOEfzVIovxp4THPps0ownxgKdHpxEbZ2Ngb3cf+rhY/9x25+63PRO9scN3RN/bu/6P4wNEd8tODFRkGeMgbqGkzMEpJXQfzh2tp333ts8Zge7v+3ked4yEr5NSM/PDbJ+U7t4Iloi8AYu+T8fDIcHKmgf5rKstBqYsdbOvh8FggXHoYy3eNNIqM7+O3yBx8Y/t49/GQNWZae1wvwlfeD7HIfT2O+UF1sI61ZakDQIwNyb+nYnGD7ais+FKm+RuK4Vfubr94jSK3Jn+8jPnC1ilznI/xjzsxC64yoIJnH54aScUFcIG4A/DDQkPah05TtK4pwfRAk45qlYh6wbUPu7KHfpEnnaXAHTvN70XWCG0YGOjWyqDiI4DhrpouCrMuNhPCFyMA3gyAwPHX1qevXQNGOaosCw0OaPonT2jLGBaCIx3kSQsO2vHYc8qIu3laMJiRQv75HNG9hH58NvhskYZr6UFbAguffHR7LWseVmau2WqUOljTKraWe40ARoOahZos/v7Tty6AOPJkfNt9e+Vnh6oyHDfzwUPR34OvnS0kZW4xDbQoPfTVffR3AJcTV+SlZ07J9292ENEXACGPx9WjR2Wb+cEoS4G7OCW7E89qY14Ytl0evaKL72u3HmOshb9u+haVL2l32p5rk7d+pN+IpTZQkUdGh+T/1cGFdA0wUE7vhI1il8R18atHrXnfph0yqE5bGXQwJV/ubqVCfXIi21AxQTlQ8bfAAK7ZIktUHlSudJcwAI99tHtFpw1S0WE8Hc3PdE+a3Zn9QGsHd/HccbsZHtxlu24dKjAd2GlkaktIo1+rIJU9VdJUlrRplG4mgnYLUK6sEKmV5qqTN1kp1MbOk1dWhqSlyMjEvpE0AMB9yIoVJGnFYVApAQxBk9uXipsypwwNULCZFq5bjIGksCDo+iB8XjSI0Jkaeh0YsIo+bhwOQQpBBy0g9YYs/o/fvjUBBFzfj9wmPzdUlc1NWxCqm/feevTJAhAEJq9dlu++9Hh0fD34uVFj9AdASBwd/H3Z3hiR0vBKYlZaHEjM9u53XsN93tPtXcHoNj6hcRw9Vla7NH5cHrLadbJ4afPM4yNt3nq+7pxdmWs+fXLqZXufTGarsjJWlkeGqvIVXSuB0fQ6uJHKlbtEnHsBAMEXvd4du8GKeLlzhw0++HLWQIJnGEDZaFM/X/as6WCC5SJb/MfGNBBs0D+O8RhsiTHcQlXaeqB96iySpeMMKDcCCProtVLUJ4u6Pn0qS/rZXV60/5003V02szqY1cKdsqkBYQGHdjO1dvS2BgdAgHYJ6LUCfwR8pNcq1mTfRqSnlStdVDxqm+vmK/TE/rSkuCWpdZCuLyOCMtRWCH2Na8R0XT4PWo7mubPPjVlzm2IM3igbbZFppeI2ZfF/+NYtCCCm4oGfPyI/Nz4su6MNDh6wtvan4I2P4P16LLW/eUe+djMHxPYJQIgc+N14c3NMhs0LoyZxqSZxsypRXLXBKQvSxHcj7KpEZfU9TyGThm6HMcwP2f5rfvCWPtuxH9vmjUOedTtNHwCJ8+M89Hd3XN890iOvRfh36WT1SZtjp33cefvWNE+utabUhgblkfFB+Q/aL02zteaVL1/uvMcGRP7hPe2URr7QuevU1RPpo6ffGS9sXb2Q5Ya5o3VBiRuHQCWld9rmWVMHJmkwoXfIrkUA/ZgOyowGtw6CBiGUia8gkU49pfLSaa1U3FlKFvSpaMGrjgnQAY46W4GBlPqgLj1/t94BrTosB05+tLuKIFAHY7ruIG3d0Udvu1Yf95mnBQPjoR8DNDkPzp/9mDar41Q0SDIys6qD1gkdcGveBTZLg0AY68LMCw2++BzTKrbSkFsvBmIqLn1wrzxyxxZ5oB5LE6mabgxD3ru6m/tFYhuK0vXxW4mlNLciV394Tr528reimaK03kvt+gYgZCoeunNCNlMYWgGlCWh+sJ21Mbrsr5KJNrynla6+TvqaHq6xX944vO/y4BsDdNPakw/wqefvG99HQ19zx06bQxZtLQO9Bu7YLg13bB/Y8a2pK/+hhtSGh+XRiSH5qgYArg+aOzMqfrowfuVo4srQBYN0gB9N07RaMCjSBNvZOARdBwEKgrtcDWjAm95BcwxtwTAAwgZp0u/umqNb62/T/rSy0DEZrlWAO1sCK4zP1EAeJ61rWrhuBc7XjWFgnIa7VpCDjguAHK8LNlRBgTyuXNdlYKQbQRHPq6CyZowFlSt5oGtIWzsoWwI5BnnSDUMQ5tZZ0EAFbbQ7gUCOB4dBNoirMbQs81wHHaypnwX9nOrS19qqRDkQXGrrB+dFtxCfH8iIVVMXa7L45HdvLQvEwS/Gtz+4S37aGG1sQORalLt2L7gBk757dl28upDuCPDl48m95sZVlCKpnL8mr3/7P5enb8ZD0voJICp7NslEc6ANBEorqiT1gERZ37NQmKbZAigrErvXNf00euzja4t7vM7PafPR9H38mYdUzb+lXKx89Dh6Tj66Lp0iPLnjabpZcvLNO61vnvyH6lIrj8ujk8PyV7qOAV/8+gXL3SpewHjhIgsDLgwGNeo+vuO3tfKmEsOYUMq0QOgyxBxbuztcQEAzOl/24JF+fyoDghbySSVIUNRSijYAkcqHdMg3+dDBoVBKjLWgIiZ40Ic8uTEh2hKhQYRWnG4cA03tlDNjBSBrXZaZypA7aCpu7WZxi2lpVxX7abM+LQA6sFOPQ+Ws6bbcHvasCW3dcOcAHhnjgc+MYyHg4BroWg+t5yNqZ7HotdWgh4BAA0Dc14XRtNUHdDjnuZVbLIjyqXjw57fJR4cGZDLqUdCkG5+g31e81yxJXGrmH+VQNNCS9Nz2HO+li/LNmzE1t58AonRgSMaWKmJxvkg0JHFklWg8IBE/Y4GbTSnhfpqi1/1aP/AlVVdiSOLY+e7SyqLhGxv0eF1/Jl2XHr9jLteNbeeOea96oC3PehzzEs6Rhabj4y1NjlpGrXnYsdLko3lxZeyuoR7XncNiU2oTJXl064h8Tb/wdR9fWWTchwvjl5GFoXbHVCpQPjr9T5vhGZjJF7i7C2cgH5UBd870z9NSYBSNLXTEwkYtywRPsVSVDKlQ0oIOcZ+Knal8VDCgS+Wj6wrQrWN+L6rQFT6Dhg6IpLmcrh0GBaIvsxt04CZ337yv10S7YZjmqoMztWWGpn13Lm7Giuv/p9WEPBFQaMuBkamTTaPdHGhLKwXpcR4GtCi3E+VPOa4CADbYk7EtGmRg3vq547z0erqWKoIzrhvnRN74TOL6rZaF8cifxg/dsUXuQ8bFqvrUyTqbd6UvQ4Jty2kvOntdWxB0U7oceJ+WBNADbU1Xg4LWOzOWGO3II/jXaaNoh/uV5NjwytyKXPqrb8lf3WznZvQPQEgcbfs92TRUbQOI0nI6QGgOSqSVYvmaP4WnMdZWzlp5gTZocIGzxjKLa+mQhq896PG6/ux7ZkEPtFw+fPz42upxzMvMkZWeN2VDmXFczitNduYFpmRURFbuvLNk7NJ257C4LLXxrfLY5Kh8vbUjVyV+WWVR79SMMi2JTAyJ/NJdCcfaX+5GwPPlrOMWqDy05cB5mZiHjVaPVmCishIY2dlOOlPA7G4tj75gPaYsGjeELRbEWAOdjQDSuiomUyS5W6fyc5UPxzdxE7ZWgnaJaACjlaVrPcH4uhqn3t3rVEmmxLKUtlaWTH01CtHKSpfM5ry1FYXprXSjaAuNG5uhrRza8uP+HunuwXrouAuuk+vacWXkK/TEeWJuBHXM0NCZKqTF55u8GWuK/QLZEGjxGWDgKVwY76k6EFNxZbvIUHWTDG0alcGBkgyVGoLcu2q1JFFckvpiQ+pxLLWayEJjSVZOXpUlmYqWtk/Fmx6+S352uCIjUOAuUEhT/jmYYdXtNAuCCwqy0jjTAAQGKmKhYJsTl+QHN1u56z4CCBGc2T5Yl4FSxm561YtcWRDS+jQLtCnygJFOFm9o0wnvnbQ1IKGgXIzySpm3y2MnPBeRUy/bLNaltmlEHpsclr82pnub4cAcf/qVXXM0lMz4YGKB0ArUDW7UyocmfZ2iaGSuiktp8zndE1p50KqhfdQ6u8Gsi41v0JkgDPDDfR7xzDQ+jI//GZTopgnqapO6MiR51wqJvGjwo0ESlRauceesDwzTCq1F1+7SmaXCOWr/P4EITe8GfKgy3RpgUZmbmAorex2/QXeIDv7UYxEAmJe1tbrwHBOm/2o3ENvRUqXdEARjrntIH07GZ0gDAcqeAIipuKsqdypwQOtMy+1i+daxFW7NCMaOvCcsEE/Gw3cPy84tVdkxPCCbBisyWo5kpFqRCoAAd/F8pvC9HklUakpzKZblWk0WFmoyW6lIdeug7Kn3yHXhe1fRKqBjFex6rtJ97v1O33sYJ4tGuSzl+SW5/LUZ+aY8ES13Sn+jtu8rgJCn4sEDCzK0USefx1ee1SGvf7i/WgJLS1Ib2SqPbR6Rb3AHbA6GqiSKmACCvahIoAwAIGCBYP0DHSBHhaYVKnfAbqodzcXM3qA5n7EG2pWh77lKWGcacHdKUzXnQcWkXQBG2VprBK7zYDAGhmpfP1M5teVAAwkqcCrQtOetpTAb7Z2vroVAOZN/mv9phdC7b17T2RKMMaD7wQUd2jKhwQXWhgBPBzCSHxe0+MCEjltwLQcuX7qtXhMG2PIME/DP9eU83WfMBVwaHPAZY+aMnoeRjTpoS8vKuDBWZPH3NmIhqam4cnBUJndskf3jo7IdlgYRGWBwIZRnpcBBVzgFGMoWu3Kc3ltTNX6K9O/0nVq3cQ4ubV4nvX6MrXnFeJj3W7Py7I9+/eapMtpfADEVVyYnZWRiwR+sMjOSuDR4n9/1NfeBQRtNT9PQ99x2oOO21bTTeNRtsvjzjeeOSVruvH1jgJ80ft35u22L/MjyZJ3FYxH6vnUbqUttaEge2zos39TplzQ1u+ckUAHgXxzJjCBKKmAdgU+Tstk12he0W87YVQo0j0Mh8oRMKlBjTXAKGumAONdP7+7qqejcAk28TsUC4ARlw106eafsTLCnDdRkX5q6CRp05UZadajsIDfuxAmQSJtz1P55XzYH2pvYD+WW0BYP7WphjAjdKrQ4MLAUtKjEKbMWSFJFpDSPVL60KLnBRRog6mdOX9e1kHV/Ix+HoE7p1O4xWnMYwIn1wHz5zDEOR5emxmdaSYwcrePejc+gVQr/LtU2WCGpqbhyZKfs3DUo+8aHZQ8AANIs00z+uBcXCE7s9B3insKpx+C9rHE1X53y6DsBlGPpe3nzhuyurci7T5+UZ2+WCpX9BRAismcqHqm1XaISD0vUHJaoPC1NfDYvlcX02Ajfg0YauFeyfUED10lLfyYN33hZPLg02LYTntkHczZKLGfemp9O5KPHwRhpP1DKjnJLm0ve2HodOVZjcnXwqOYD7S8tSu3ObfLY7k3yrdaaqPMu3MOeaJXASxjHeP/avUkvHSSJNjzYCWCAhyKxxgMVBKPcdeYFFYh2dyBNFGONDSbuB77cVyknlCl2fjlaabuydy0IvO/uTHU/TV/3d6+ntXNp0bKC6/pz1os8je88Pl3ZcEzfWL62vnY+Xnzyo2XBx2OaJSdNBtpVAzAxVxOZWRK5tpK4oOiGYDtax0iPcRqM+SC/dKXo+BDWi9g4Low42v9F2XnHqBzBaZhIR4QBK01WBBS+eAFfHx8ASeuLtg2b3lm2gZW+2IOsWAX0L5Vs3Z4ksNGr+3xxGLxGHsx73FpRNG+aPtpcxyOCrJvS/N4F+cb0E9FspyBqI7bvO4BAWeudh2WAk2/OJwtXGpVYf+5EOOjnKjjSw7/mhTUvET/7xs66pu9pGuSX/BfhmX3Ib7kkzax5dyuforzpdi1FZmW2SkmqdfK+0O0aYD6831DZJwByruwuTkrtzpJ8YMeofIsZBb5KgDxkSWcgbBkW+eTRtrvDNSnj5azjELjLJ2/uSZ1sj50k7u0YEdkzJoKKl2Z9+//LKPL4hDYbTAJ47lBe/MK8yIUFkdnlpBCXLg6m3SO0LtFSo8EUXTgEt7DKbYQgSpxltHuT3LV1TO6ArmRcQz+WAumPrfdQiuUirw3vZ6Vl6rTNrBROPZZ5DyiefHzk8eaT2fl5efX5/zJ6pR/yXG+a/X9NTsWlPdKOg2iM2p34vMT6cycTZz/dp2zp4V9cRxt+bik4z9i857Z1aaSNmce32498op8e00c/izd3XN2/k3m7fPhkRVm4/Lgydnlw1/r8oNTvFHls97h8m7SwWLAK4KWry1ubMRG5bk3Fm6qJBUIH47lpiK2IdltymmZ++pxp4qfLBC/9nSMid21NYiz0yz1vXcP9W1cCBJd4bnEE+2vTyUmqdPPQEsHYD/MbU9VQdW0P7QJCu1rzxtaBOPj78Y69O+TekaopAtgoalHo9mlwD6Ty0UGbLD66sX50YoHodm6+fnBzXKvJlWduktM6+w8gIMXH4+qePUk6p1YqpXFrLZjNL+ihFwP9mrMS4d9aIzFLuQDCt3i+8TrhgeN28kBRyepxssYs2s7lgf0gDx8YcoFBtSxNLbs0epBz2nxdeZAHo4idfrh3+sdSP3i/ARDfgTLXx1SbmAjrznCPpAaQQAzEP7qnbX4HCNAAQn+m28GAD1tCmC93vvwBNvZtFjm0pX30difrGtoGCfBZurgg8sOL7dNhW781m2Wka1rgXivbSB07jmccYKLRvFFBlHF07xfl4G2b5XAUyUAcS0OXZy5aWrpou9ZmpNR+vzSaVh90eBR30eO53aqRvsyMckki8FGUZtavII1GI5bll87I9y798+jae/1XtD4AAt6gp2RApiXaO95+YE7PJg8MrvEzv2vB4t51/SZt37qU0uikLY47njum5mWtC+ybm+YX9IuMl0VH8+ibm3ufY1KmLj9FeSJdl45vTW3b+r4t8tiezfJdPHg6iE3HMRgAYg+5Yhoe4hJwnDeD2ezL1pDli1xnWNCMjF2iri/Bl/mRyQRAcKy1rnPof+tKAM8aXBkvXxCZW2kfFqbThPk8GuBsEbJb/RPPJk7jXPcsjE/G5Qd+To7uGJR9NkOimbfr16ut27r98iwMvmBIHw1fhUfy4LNAZF1DP99pmuZ6ki3R9NWg6NQak2YZwRivX5Ln3/6t6OyqX81UPLB/s4xEkQyWS6aORjkuSxQ1JG6swpAgkgAAIABJREFUSH2uKcuNWBbP/7YsbJSy2OsEIETkk3FZPiyVQq+ZaWfXC7CgryXfk5/hZMoOGffT72Heie8+rQ3uaRr8zHE7GTuNF87JNx/f2Fp46FtEDpxH3lxJW/O0erx2lVBXZnl92P5pqe/7kDy2a0KeWZVDb2tCUJm78Qf4jkqUbhZGWlAcTMc8M4JR8TrI8fCkyN1b29UcCz2ToVGQQIYE8IzSEsEAXv08AxzodFjcw3dmHjEjZ6m+3i6MOHrgT+XencNyBwL89BQRKKiDF3UQYZooOgEeRWlomuAJfBYNonSBDr+7AIIBkG6wZpE5Z82DYGUV2ImkcnZWXj1+Ud65Y1BGt2yV7SMlmRgoy2C5LNUoMmeClPQc40iazYbZPzVwHtzSkly9XJeLJ5flqszK8o3K6lg/AAEJPh5XZY9V+NcrodQy1plvLk1HK/dOX3e9opM3Lsbphs+8fuTfBStpY7n0dH89B9+4aW3z+onUb5+Qhw9sledMeqJ9gaKbzpKA8jfplUiTszRR+RB1IAgMdKlp86K2BZDIAl7oLDjEFznobRsW+dDeJFujSJZB3nKG+0EC+pk7MSNy/FK75LZO//RljehD0mCRWN/DtOLo6J/IodtG5IAbPIg5IYBQByj62rirr/vkPRlZbd17acGM5NP8xgvUoXDnpftrGhwvLUiSgZidjEn6sECsxDIPQIBCXHpuSHNBamja/LVlBGM3GlKbW5JL04ty4cSPZHq9S2WvL4CABKfiipyRqAUk+JSd6SCVkyDEfUI7oeH21TR9dHC/KH23rf6eRofjp40NfrPuaTnmzQVtfTxyjD0SmzXKapfGD/nw8fDlqHb7F+JHjm6VYzwVkS9QKnm8ZAESuGOjksfJib9wWGTE2rBatRNs9oUBIap2AwMwzQvCXofV4307RXaPtXeDeS+5cD9IoBMJ4Hl98XwSXKnrkhhXnH0OdRlrt64FAMS/eHZ9TuO86wvxnXsn5JDY47Mxz7ix2qIblZP3sq/Som7bahdLibEMvEb5oT2vueNoGaONHg9tEZtg2kBp1levSLmSbMvRT4+hW6XNS8+Z8Q8uL/xeittp6pgjxy3yfJD/ZpRYeUyFzGYSb8H+Wl6ch+a7JYPEemX6gYcYtTliiedrMntpTt5942k5K38RpabcFuG3aJv1BxDwPk1JuaWg2gqnuAWCys2dJRRft3+aJukkQCehqT/njeG2LUKnrbCvn0ORe1qOvrm4PPt49K1F0XY++qvpNWFmu/3J+JFDO+SYrt7IQEeeWYEXLSwEUPg8mhtZEkjj1GcsaAuCLkeMNDv05wubAGLHqMj7dwXLQ97jG+53LwEA33NzIi+ca8frGCUVtwGFVSCtQfRzvF4AYs/n4m2Ht8v9pbKUIqXEyBRM96y5YPgvSeRrB13u+qVdN4BPmi59t42PLtrgOpQl+MZ38KTbptFNo+eOmzZPXzuO794rMn/2yRsP933j+PqZIl9liRdXZO7qVXnnlatyWaaile6f5vyeNwBAmMcxkk9KSe61qPK4VdL3KgBwPCMzg/30/PJogHYaTX0PtElL00+77pOx21Z/z6IPWmljp93D9c54I0AprRpLy1Tz4JsL54x2aWum6U2hAE1kxgWAOLBdjunTH7EjY6wCLQc8G4AvV2Rh/Io9zpsvZPxLgIFaDuZgJnsmA4/uJqugA/CwfSQAiPzXQmjRrQQAVvEsHzsrck2deMAUYv1csqAXAythsVhp9D8GAmcU7d8m94+WZQRmdK+CL0tcbpjDsFJ1BJR3w7bTNHAN39HfVZRUfL5+ui126tzxa+BC2voeaYE2+mm+2dc3nk85u4pZz1/zkabYMQff/LV8XJn6gJl5xynZu200n+5nAr+5msxevCanTnwmOt/t85zX7wYBCAsipoyyjowS4r9t5dQZb3k08gDEajCSjK2VY6LAO+OJNFcDFD+Q4VidjuHjMQuIpSv8tuUjjwfNax69KbxMEvBAAHHnNjlmznxwbC2s26CXguWVASBwmBbOjtDVBnWapj5XATT02QcIUvvAbe0YirwfRrgfJNCtBGCF+OEFkVO21iDjIECPpchd2jyptf9ZGHH04JflnolB2QFlm6W8oIipDF1AoBWlT7mZ35+1bEDBaTDBvr6x2VaP61PclB/u+RSyq+CpZPV1zRdkocfWvOuxNMjRc/QBBE0jbw6+Zy0NvHFdfPLVcjMgqyn1C8ty7pXn5WQ/4iO6U4jd/rK8/eKEB4AJ/WcUj/pz77u02F630zTc61nj8Z7LQ96808bW8wPNIvR98/Xxg3buPIvMW/OR8Od3/5B+UbmuklEbOPAyLBC3T8oxHTxmAh4toMC/PAXTvHjt/zjO+9fuWX12gT7qmi9n/MsXNqwcpLVrk8i920KFybxHONxfuwTwPJ+ZE3n+XAIYtPWB1JnCzEJpjJGoN/t7nPedfxDv3LdFDteaEuksC9+s3SwMXxs3S6Fakhi03bbaHWIAhC1NjfZsy355fKE96fmyJjQPpK9pc3zNU5FsE03LHb+TpyZLFj7Z+WQJfovyg/GuNeTq+VPy+pmpaKETXvPabgAAoVm0YMJcul755E0muZ9GA9fTaGbdKzbqjWvVKe+UT7fydWfa2ZoBQOzbKsfoqjAlpbFq9khoXZHSZFrYipQIovyH97SPhAYXukywe/ARszRYLwLVJg9uCe6LG/ec3jojsy7Es+8mc+aBbW5lSkoE4AFuD7RDIak/eKZPQZRT8cAje+XeTVUZzUtPbOK0TKvk01YObXBPt6s32/EJvv66D9q6tCuJG2IVXbTDdbR17/G75kO35xg+upoeXDkcI22+ml+3re9e3tjuOK48ivJTpN1AJOXFpiy+MS+v9fIcjg0GIG6dl8ytOlMAiL2TcozHV2s/sHkJKEDBYlNoAwABFwbdFNzVaTnyfA2dOsfTLh/cIXL7eAAQt+pzt97zBrj99jvJ8wZgAMsai5rpSqk8k4UndSIG4ovf6w+AOPr5ePe2LXKgYeMe8gojuUWgfAdNuXL11YHwFZNKO83TbgGTwEEFYPJ4JR9pPObVp8jq53t2XH6y5qPnlPcc5tHR/X3Frjzbu5Ysy2UprdRk6c1pea1XVTADgMhb0XC/pxLYDQAxIcda8QqWOoEELQ6sHslMCmRhoA5Eq6KfjWw3uwh7OibT5lyG8TJ/eHcCIGip6OmkArEgAUcCeCa/diKpRcLMIR6DrouasRued/zhOO8/fq4PAGIqrjy8Wx6oDMhAt2dHUAl321+LKAtU+JRzUQCR9iDmAQgXgLjKOW/8TuaT9WPpFjQV4Q9tyk2JFhqy+OKSvCJPRCrMt7ufcAAQ3ckt9OpSArBA7NmSWCBapxZaQ6auQIkXKndvABsAEL94JBmUKXH4DB8zgANTQMmWboPKgAigDACiy0UL3TqWAJ7dr59MDtnCH7KEWKeErgyWVTeneTaT38NyXRb/6Pu9BxCIfdg5LvvBS8PWIqg4NR/cSeqAw3pZYrQvknbI4D70Mb9Rlc2hgwk1TR9fHB/85vHa+t07WSNpQaIt4MaMEVvjwaSF2rmijctjC2g47pe0ueJ6GemVHneN76EiHdxDv0ywYWlyDF/btEDVpRWZfvGcvLnWCpYBQHT8aggd1iIBBlFqsKDTOPXRxngJsx7E2KDI3ztsj05utitXsv4Daj/QDExgwniKYIFYy4qFvt1IAIDgr0+KzNeS+B5THM2+bVkllWAYzzkPe+tLHYipuHT/bjkyNiBjvriDNMWjswAadWmWK+3aC4Z3VaPAl3LIsdhPj+PLnihy35cdUUTJ+vg1YKFdkKlVV8JNi+xm/d0+RfjWMsmTD+gXpekDVwAnM9fk1CvueRwdTjYAiA4FFpqvTQIEEK2H2n6AfxhWA+zUNADAAwpQsWkgARCwNhAocFfHmAdcp9WCbg0ADFiHUYEyWCDWtnahd3EJ0AKh4x7MrrJ0fTE0HTg8v9L7SpSo+7B7sxwejKRcGEDYqo5ecGF37aySyAqQbFu02mReNUrf/SK0VwERh1ejeFXFSl+FyqIVM4s/DcmYBsRkWH20HF2ZFlmHrDbu2Ai8rDdl5Qdn5XWZipY6mcsq+XbbMfQLEuhGAszCQF+didF6+diMDPNDt5/xLwEE6jnwjAu6Qehn1uWr9QmcuP7QrgAgulmv0Kc7CQBAfOudBOwy4NeNfTDgFmnKdgi4OBZqvc/C2PVUvP22QbnduAKUiV9nK7izdO+lZTagn6+tT2p5Y+ushaJAxx0nLTvCN3baGFa5ZlY1ZhvSzZIlZYR/dXvy7rum2/rWJm3eWXJz5wUrxLWmnH/tv4psvlDnz3qwQHQus9BjDRJwK1Hy5cpdGI845nXs4HDPxEAcTqwR+ONOTgdVusFqph3y8CWpQnlbOANjDSsXunYiAVog4D5j7AM+83mGS2OQ57pYkIFnuueVKKfi0t075Y7hAdmc54f3FS7yFUPyFWlqbQBSCjvhfp5rwC22lOa/N5uLlJiCtOJLaWdkaL41j1mVJvOeg6zCVu54mlaWfLqRBeejx3Dp1CNpvnxa3ujWChEARN7TEO73VAI6BgLKHy9VBDkCOPAUTgZFIq4B1gOAABSS+vihhBXGPejDs0CHoMJ3UmcAED1dxkAsRwKwgCELY1WtElWyHZY0AAhTSAoAwj7XCKL83Hd6GET5eFx9/6OCX061EwBBH3xen7wHoUjQZZZSzaOfdd+Ny1gLKHCVcbdyyZNHGqDIm2cWoMriFfwszsnFbmMhAoBYyxMa+nYsAaRx7tksxwgWcCon/ucBWgQIrNDH6HRYIAAgeFqnrgeBPjQD84wNtGMVSrzEQwxEx0sVOqxBAkzjxLONz4jXwZ8ueMZn2Bxbj6wkSY7z7uVpnHum4pFte+WAT0m7ysyncNPKMRcVjS+40lWSLq204EBXEWZZTHwKPw1A+HhMs2RoOboWgyKgwmdl6LTMtc8ClBVQmUXfPJPLsnT8m3KimxM8A4Ao+ksI7XoiAQCI3eNyDLsvvEABEPCSZbZFq/6D9Q9jdwaLwtiAyN8/kgAIFt9h+V+dDqdPBuK5A6DxvuDC6Mn6BSLFJMAsDMY46HRjAAZmIRE48Pj6+ZosfqGHx3nv/3w8sXlUbiPXJWX6b5Yk0t+zZqbbFgkIBC1fcGVWEKE7PsbU18CrO7bbpmxTVPPG0bxpGpSHSxd8aFm5c0N7jk2efced62O6OYa7Jr61co/61nLRa+OTmW9ddbtGTZrTF+XtbspcBwBR7H0QWvVIAqwDoXdfIK1PKYTCJ1DAPQAMAIh/YAtJ4ZoOSHPT49CfsRJsGwpJ9WgBA5lCEiCA0KfFAkSwBgSfXxCjdQKfkYXRy0qUh56Ktw+VZVtUSbIAqiWJak78AK5xUu69rMnGdYkGBoybJjXgMGpIHJclcsd1v5MWxsujhzY+mnkLw3l2MkdNk/1XVkQgT1dumKtuDx7TZJ7Ha57cDUCza5rV1id3LWPcb8RSujwnZ09/NprulK8AIDqVWGi/JgmwlLWuOElXA0tXAzDYH54BErRAwIXBOhFM0+QhXAQgMBGjPwEKT/z8wB6ROzaHSpRrWrzQubAEGES5VG8XiTIpyjb7iK45WtPw3OLzUr23Foi7vhDvGSzLGJQNlDSUWsnu0jkZXocCLKKU2K9pCx259DRdV2CkjzH1WKBFBZzFA/ppmm5b3tfjUNnqe+74RRbWHZtABv9CBmm8udexBp3K2l0rjlkEaGiw4ZNPpSql6RW5cvJTcr7TM6gCgCjy5IQ2PZOADqKEcseLVCt7fGc9CF7H4EjjZBClPktAAwieOYD22gKBNo8FANGzNQyE8iWgszDYuvWcN5PgSrgtdCAw3G+IgeilC+PQU/HeSklGqFAHShKtKItBqSFxtZxUmASf9Zo0m3bnjHstsADg4eywoXhwX9PLl0y7BehxLJcvlw7bot1axvTRxTXy0Qn/aKv54WfSSJML50p5+sZ2Za3XQY+pZejjHW2XrcUkrS3azC/JwhvTcqbTypQBQHT6xIT2a5IAAQRiIGgtoD/Y+Ivt/xgEgZa8xzoQFnkn8RM2gp2AQpe/1pUukc3xwdtE9m9uR8WvaRKhc5BAjgTwLH71RNKIIMEc7NZYDR50lgae/V7HQBz8Ynz7QFmGWrEBzg7e7JwBIOx1/V1bFmAhcC0NtEDkPQzaSqB3wHRvZFkNQBv3XT5dCwN58FkeSMN3j1aPInNx50GrTtr8fe01Lxxbyx/30c91h3AM3ZbtfLynzZVuFVfmjZrUX7kk78pUVM9bT30/AIhOpBXarlkCBBCwEOCFCXcDPusHEddgndDlfwEgGEQJJljfwVgrGHBpz8/QgZZoCzMyXBgBQKx5+QKBghIAgPj/3mxnYOAZNWddAEDAxWazMpDCzMyiflkghgZlsLaSJCoNWOsCp7HSkFhfw3e242ffdx+tNNG4dIqMbRSt5RXKVPOFe+53TVPz5psP54vyi9zpu3LxzUXTAm+QaVY/8q/bUd5pMnHn4eODY6bJIE0+vjH1tVf/Rk7LlyN7ekuxBz0AiGJyCq16JAECCLyl6AcmIDAvDRsgyWwMWhJGq0kQJUtTAzjwj2DCHKhlT+akeRhR7jjQ6NE9oRJlj5YwkCkgAaZxwvrFImk8A0OnGreeV/sm7rUFAjEQsEDUVNyD9sl3EvNQYNreJnqnzQbaquB2YnyCu0vuZnzf2KSjd/lU9kXHyIuhWG8ZF+U7rR1k8crLciYAiLVKMvTvqwRYyhovTmAAKH9fSWtGqeM+2gFA/PLdSb48/uB85fHI+hhv0gLQYHonAMQju0MQZV8XNhBfJQFfDIQGuOYZjpLn3/xrrWizy72Ngdj/xXjXUEmG0kzi4COqXp9FEddWByvqybF9Vhtfe7NBsHRNMGdJmj4aDDKkUke760CGpQNeivLq8q3nrWm48igyzzw+Ov15uPTSeHXXz+U1jS+fLH70AzkbAESnKxXar6sE3EqUGJyBkHyp8gwM8+Ow3I1YAMH2jGgniNDnCmjrBNqjfHA4zntdl/mWH4wAgoWj9DktfM619YHWiV4HUe75XLxt85CM+kACF2m5LvFgJfmp4TP+5fciC5mnfDm2HqcIXc2f274If+BLz1vPzb2n6bvy4FhZ89R9smh3Mm+XJ353+VmJpJkmjzSZu+sMnoMFotvVCf3WTQIoJLV3IqlEiT++RBFMhs+4rnPkmYaJOhA4jRN/eMPRwgCwQKsETcOcDAMyQfsn94YYiHVb5DCQAcUoZc1S7OZZx7Nrg4QNYLD7aoBhnjDbbPa2EiUKSZUHZKysdvGNZpI9gT9aJkqOFaJZkwjX8C/bum14nfRAS7dBX+0aIA/6uraMpNHP4gFju+O6fOG7nj++axno+3retISQr7Q+Zm2VnFx3iDu2+/MoImNfHx0jkia7tJ+iHtPw35TSWzMmCyMEUYb318aVgC5lbX7INmaBL1Nz2qYyWDJWgmmcCLiE2ZdBmKChK1MSkPBQLlgfEET5U7eLHJgIWRgb98m4uTjTZ2EwgBIzRBAln2/zLFtVjmBKi457Wsp6+1S8actO2RxZy4IB4Nba0AIR6h6voQ366Laahl6ttDZZ4+AelXUWHy6/Lg9mjMUUN4wdwwAEt/aFuqfvZ81bzwe8a5ruXLV80uSmZZ0nA/fXUWQNs35Rbn/M541pORcAxM31HrrpZsNKlDxFUxfUMUBAHeHNWg6wIMCFgToQeBkTRNAsjJcwdnZM40RhKgAJU1PCWjmQxhkKSd10j9OGnZC2QDBGB88rAC1Brz4fg8XTag1Z/NJzPTxM66l48GhDJhcHEtfE8ErbotCsSFSqS8x77v004bq0QIdtQa/IorBPWnuMoXktQtNtk8dX3v2sMSm7vDZmrZWMi86pyPy1DH3r26nMXrkqFwOA6FRqof26SoAxEHRZcHCCAnynVYIBZngZD1cTFwZTO2kORntaG/TODp9NsR77agsxEOu6zLf8YBpA+KqmQkC0otFlh39RibKnAOKTcfngY7K1MZK4LaDAllD7oZoo/agmMT/zPpQRr+Pf63a/tq97HbQ1GHH76nHYV7fx3SePbO+2IZ/u2O53FxxpGeh5+OatZaX50GN0IidXbkVk4OvjW0MCFL0Ovh+jj98TM3I5AIhb/tW1sQWgAYQ5VMieBcCXLCwMPD+AZauxa0MWxi8eSf5FG9cUjFnrFE4DRGx54BBEubGfiZuRO+3CoIuNcQ48xt4oR+uCY1Bwr9M4ReJo4vOyeUskg5RzyYKCZlUifMa/7hqwjW9t2F7TQbusPi4djt2LtXf5Me8COyfNk55nJ7ym8ajnMD8o8ehyeuZKp/MsIh89R3cNu5nfm8/J5U5P5Ax1IDpd2dB+TRIAgLhzmxxzj+tuFX+yLgxaE8zLtpGUsv6ErQPBnZsOvEQ7AAUGWOpKlAFArGnJetJZr4cOeiXw63YQKmdWewQdVCh1A2q7pd9tvzQXBunhmWSApQ4KXu7xcd4YD0d6D07IGJQKFF1pReLmgERQeGmKj+2uU/y2H66zzXAsJXw2IMLS9skN98x6WxqLkTTxOast2+u+HEfTwmfQIy09P5c+5q3b6vvo586BY7t0OG+XN7ZL60e+0+at5aPno+m6cnPBC9dDy8q3lprmme/LlQAguv3Fh37rIgECCOy48JLFi5RxEHQ30GZKiwL+ZQwEq1ayDd4+jJWAVYKZHPpcDEwsFJJal+VNHQRgD4GCKKzENFuUMx+yx7prgFGUU1YyvbosMrucWJzwXAFsbh4UQUDujfpjKWueDEs3m1EeKhND84dYnpW6LP7BMz2MgcAAj8fV2x6Q8XjJui2GEkXO7z4ZUZFGtq1uk9UP7d1sBSpSTQs08F3T0krRzRrBd7RlG9B0+7vfXUWtFXpaX9DXY3EcV0Y+WWr+3bF8/X3gifOmfNiPMvXNO239NDjIW0fU2jj9rFwNAOJGvTHCuIUkwEJSOvCRwZAaHOAlq7MtoGj+7sEkBkIfwoWASdaR0H3ADM8ZAMgIMRCFlqcvjbAOUPCXFkQuLiQgAoBhfFBkx4jIjtHulD3ovHVF5IcXRd6cSSqOjg8kFUcf2CFy50QCPG/EHwEEsys0QGq56+zpnNg2w5WHNgu1PgCIT8bl/R+SsVpVTPJ0ZC0BWXKJrWUgq61u4/tM+kVouLyk9cnji/c5T/3d5cdta0DVgEQYu8g4mkffOFnzT2ufN2+9flk8+uaWtd6VSJonr8psOEzrRrwtwpiFJcAsjBY6jpIdGXZqpvy0rciHa/jMAlEAEAii1IBBB1mCHt0gZudh00MJJMJZGIWXqKcNoUivrYhcWUpAxNxKQp7gDoBw9yaRXZs6AxGwNr02LfLCOZHT15JUXe7sQfPgFpH7tou8b2dPp1OYmI6B0O44EuDzzWeVQcTXVmTxi9/rsQVC4mjyKRkbqUultFwsS8LwNShRVnvcN7+7Dmi6AiSNtdJpydXyVITeWsZ2ZeP73nrHrUE+hR+4NTacG5XG9BNyLRznvUZBhu79lQAAxK6JJAbCLQIFMy8AAp2isLPys64DocGBL3CS1+gfD4dp9XdNs6hD0Z+5lgAIXY0RgJEHSyHDBiBi71i+xQBrOl8TefWyyMsXRE7NJnRYGWmlmbgy4L44PCnya/e2T3RdTynQAsFKlBhb1zdhphGeb3xmejKyMHp5nDfnvPP349Hhitwge8x6Sv69MZYGXRrI9Ir7Tug3lySqL8vymaloodPxQxBlpxIL7dckAVogoOTN2QDWfAuiABDYPcKPjXv6jAxkX9ACwZ0m09+YreFjDDRhRn4snMa5pnXrtjPcCm9fFZmzZ/zplEXcA7jDH1wNu0ZF9m1OBxEED69Pi7x4XuTCfBuEMHqOzwbA6bYRkX/2aDtGpts5dNNPn8apg35bO2VrIeMLuJVxVO9tJcoW71Px0IEhGZwZaVsgJhYk0t+7mSf69IpO2vi9pt9rej6+MQav+2Scd7+TtfDNpxP6aPvWkizKVGTtg8VHDwCiuKxCyx5IgEGUrNNAkgAMUPYACszQoLLBvbFBkV89mgAMmL/h/8YfC1LBnWGsFzicyO7q2B87VBSSCsd592ABOyAB+QMkwEqAf6HkYXmgksc6AkDoA9IAIPZP+N0ZWEfEPBw7K3J5MWEE4BA0kHmh//DMbBkS+ewHbhyA+A9vJUHCOsgXPLqVVHGtdbx3H7IwjFym4srkpIyUFtsAojkskf7ewdKuatorOmnj95p+r+n5+MYYvO6Tcd79TtbCN59O6V9aNACiozLW4DEAiE5WKrRdswT0cd7aFcEXLUy5rqkbigfK4JfuSl7GOl0TDPHo79YPVqV08n4/zsJwMweoCLsVUuuAgm4JWEC1hu7ersZaZBU0QVnRMQD0zs0lFggodXwHmMAf1hIAAHLDvYV6kpVxpwMiIGcT83BZ5PilhB6eAfAC4GCsVdYEge/kcc8mkd94/40FEHw2tdUM8zFzt1Up8czzOUUlyj/6fq9jIBL6SOestb09Eg9LFClAUXRN3Xa9otPt+J32Ww9+MQb58sk4734nc/LNpxP62LOdmTIFwQtVEdW8BQDRyUqFtmuWAGMgdOVJWhyoVPQLlS/ZiSGRnz/YHh5tkAaoDyfSlgselUzl12sLBOliR01rihvXAW5pIWHqogYZvAbdR5eO7uN+xncqIkpCp7OybLfmgyCH13wLqN0Kuj0+Y2eMeAIodsSh8BC0og8CZDO9mFgMYHGAvBDDQEBiMmisKwv/mqqjlSST4sCWxCIF0HFyJgEPcFsAPDD9l2CTNUFIY+dokonxd+68MTEQkCkO03ItZZQ11wpy5PNunt8+AgiZige2iwy0np3hJGWxOa92y6PFgyz1M0AapVGJ9WfzzHro45pu6z5P7j18d2mxj77Hz7zXKV94XHtBAAAgAElEQVRpY6Txl8aXVuCujEErTcGn8W/eBY4M3LZpv0ktf92G/c/PS60b9wVoBQBR9E0Y2vVEAjxMC0qCJxLizWCsCggmKydKirtSKhr4yP/O/uQ+sy30i1fTAqM0E+MzQEgvszDwoofZfHalnVmAXTXrULQyRVBK22aVQMGh2JEGEFpxsj95TwMGoKMD8zAmfsQYUytWxgQM2N0tggt1JURtSdA0wa/hy/roIfftIyK3jSWHkXWTGgkeYTVAICVBHiwPHJcZGVgzfIYsMJ+7tybZGUj9RMAk0kAxR7bH88J58Rp4B9B5eJfI+3YlcRU34g/z/MbbIqhRgc+YG0EDn1VdPA3zxR/SOHufhWElMBWX9ogMUR6NUYnK890BhlWKaFziWiOJYwU90OVn/Ot+1315T7d310vz6aNddA6kUxqXuDmbrvvc8YrSLzIv0vbNu5P1yGuLORowNCtRVlu0O/1ZWerG+hAAxI14s9ziY8ICsXdSjpmHW5mbqRQBEJieyd072kIpoA4E+7HoFL7rXTPFy5czzd+9BBCmpsGi3UlbhY6dJs/eYBErWk9cKwCLClFJox3N+rjH4kOUj3aV8EAmc3iYNd8z20QfKKYDUO3ONuGvJEJQ4boACG7YlyAD8xmpiGwZFnn/LpGjW5MaDkXdGWiH+Z2bF7m6lPANAMaDpRgwy4BX3OMBaqjrAIvF2bn2eJQrAQQBD58TWB4e3JEEUXZToKoXP1HM+esnbeyHBWMEw8y84Prr532x1j8XhpnXVDywd1zKp2cl3jueKFF85px5rRMZoP8e6xrRylkrMdA7I9LUY+KzVuS4r/kgX6Dt0jKKz47Le3pOpEMaHIv98D1t3uDJpa/bgjb7+2TI+1qG5A20tRwof82f289dG3fevrVKm7dua+bwY6nLlyPrVOxk1ZO2wQLRucxCjzVIQGdh4AXqHsutgYHesY0NJFkYGlS0dnDY3dnTNwkw9A4eyqgXMRC0PJyZawfxwaqAtx5N8TyeGUqNZnXuOAmS8J07Zu7IdRwHAw2p/Hg2COfLsViymctBwEHFrq0SaIPdugFczvrREtACNuo+q4RSrogrgDvo6Lb8lEv3MQHwurCQgAgALhaUYjon5QRgwWuggXnCYqHlget0V/BgNTwjD+5M6j8gZuZGgQfDc1MEQZQM6gWP+pkgaDCuJSWo5V4fpuUuwlRckkmVzjktkUwqFvC90z+3P7+Tlo8+rrlj63HT+NK02F6P4/KveUnjE3R0P98YrkzIn2+OaW2LyDWNf82jK18f3bR5u22fkJVurQ8BQBRZ0NCmpxKgBYJmXRA3h2pF7ZMz+eKHEmF2BmIgfvHw9YWmWNGSL213V4yXMxTyT92+tiwM8ASFBzP8u7OJMjbBcApAgAfGNbA6plHYNpUU82EMAcEF2+n5s+yzuYbDxRrJjh2fedgY+3M8LpKxKligoAEEXUJ0s6Af6FFpsz8tG+SbwAaggzv/e7cnLoK7tnaupGm9QUwEi0rBOsEgWgIqzJkxEwAQ4BPPgnZh0PKA6W6qioAvWEgAHm70ny+Nk3MD31gbgme9Bj0/jdMniE/GZfmwrF+h72kLUCY94IT3wKfvfqI449Y9l5a+l7foWXysBi+rx0vjK2883/1O+S0ikzw+0ub9tNQ7LV3tDtU52sxjNtwPEsiQAADEge1yjP54xj8wqJK7MezQaK7HCxYm848fut4CgQdYF5ziZ+02AJ21BlGCHnzxrKhoCgHZ9DvulvWx4jRXa0WMdozbYBAg3R1oz5MZ0Q738R2Boty50jpDd4lrjcFYUFLcmROc0fKhFZgLHrR1A+O7Rb7MbsO6VwDmYIGARYjzKfrQ050BSwQKTFF2tMjosuTgm4CHVhuADT47aKvBA6pObh0uykl/29ECgbWiq4Lgj98JGnX11aWaLP7xc/3JwmjPOI5kypS17kXiT38FCepnJJY9XVhG+s9Zf0fo57xB+8uCHKiOMy/0pAOA6O8jEKg7EuBZGFRuOpWNSoxWBG3mRQzERw+0K/bRXK+j2U0sgAUURuHZ3T+UE2IgEARIRdXpwoA26hmYbAKbfkcadGHgO5TBos0ySHPHmKwNFQzYUvw2JoQAAGMiJoQxDDwDhAGZxjqhAh5prTGxAfZkUgIKypQgwpQNZxlxa7HgPWNWt68VWkCo9EzVxyjJkvjNh5OMiaKxEFrmsES8ey0BZQQsmAviHTS4pEUF/LhWG7g1UMUSMQ/4f6OAB8yTlSgJeGg90m45/axSvrX6egAIuxJTcUXO3IKKudMf/41qv0fivqwP6E4JtihrAg98x94o8YRxb0EJMAaCZlu+OLlTp9JlqV+YeqEYeRono9WpWNhOP8z4VdCMD4UOhfShvWsHEG9eSXz4VJgu4OFyEhxwh0k/NxUGFJ8BQLYQEuYA1wbTQXWsBMEFzfkEQEirpFuF1gJtaaA8NU2MyaJGpKtBAwEK58GsGAIeXKcCxGmX/80H24W/On2UMS7OyDg9m1h1sFMH6DEpnjZ+xI0L0cWiIENYZw5tSc672EjgQQMI8ElrFK01LF2tZU/wua4AQlqWCP/yHZdY7l0jwAAN/oEWv2fRRZstUhIoOv6RFwIefa/ow6f74nMajax7WWN1wpuWg8sXx8ibo+6n5Yz+Wr6cD9v8BV49awcPAUAUffBCu55JwM3CoKuBwXpM4YQSxtsDL11TG6Aq8okjCRtU4Ixv4O5OK2pdjAqKsBcxEG9cSXbMHJ9uF8ZwgDcGQDLwkYCHAsRcuOMGWDImfBxDbdM9eSgULA/cdVMhteYNd4e1HaIv4xlo8kd7fdAY3SW4zoqHbKutFqxHQRkbC4gt7KUDO7kev/Oh7gEEx0AcxNuzq8tSY06muqSNM6GrhjExBIcADzhldSPEPLg/ELowaGHjsfO0nGmXkXa7IYiyX4Wk/D9iAyKg2CO5d5XCTr7jeid/bh8fTdDLoptHoxN+1qut5plz5hx9cnTlslY+NT2ffHF/iuvbG/AQAMRaFy3071gCrERJpaCDAaEUYRLXR31jALxgUVDoYzYGQj+4BArc3dHsr10EUJK9sECcmElqEfD8DtZMgJKgSwCfoTx8rhXtggBPnGcrndG6MDQggHzwBqecAEiohCh846awJ5pSYbHuAAtdUS7oYywgFuzoYlZ0iLOaI9I9mVXCWATwDVrY8X/qkbUBCNDB3N+aaR+KRfeLWyjKuHVsNgbmivkhaBKxLXBvdeNG6fjh7aADAQQsKvjTYFPHRNASxznVm32sA5HFP7IzWgoG6Z4WOOhr7M97Pno+Gu1+UGJtQIK2abT0PR8PeWvh0nX5csdOG6OTuabN3TeWKwfMB9eK8EF6ebK+Tka9Aw4k3Rm6zFu0cD9IIEcCtEBQ4TPjwIACe54F7nGHTQUHkz0ABBQHLQ10d/C7fjFrpYqXOSwQ2LGuJQYC6ZuwQKyoivHIxoCyAy+MF6Ay0DtnnS3B+g0t5WzrHmiXiC7mBNkwuNCAE2vYhYwYhEkXB2XBXboBYKq9zlzgvVachF07fid/zDSh6wVgDjEQ/+kDieulW+UNnlFgCsdxI7WTIIlAi/UhMC5jL7TZH24UBHPeuy0Jst1If5D/v3s9saRgXQH8GAgKUEdAxxfwDQcQ1wkvtqz5lA7v+SSu27vtcE9fc79revpeN4rPNzbp456PF998Oplr2tzz5s1+5CuPD9LLk3X/fxEBQPRfxmEEJQENIKhw4f+mv52BkPTVM/0Q/m64MPgSpn+cpn8qHVe5QuFAAfUCQMBXjyBK/E9FTlcF+CBvnAPdMwikM6mIcL9YWTBugRUZuUulqPShU3QE0/1h2qpfLmsMAMhoyw5jMNCebgHIg0dH05KhaxToh1Wb21sgIxZhmeif2d/9ORPgB2WpEVfCkzp17IMuDmVAps0MAX+YJw/Q2jki8sDOpLgVLBEb5Q9r9W9fb5/TosEunlW6jvCcM9gXMl6XNM5CQgoAIhFTABBZj0sAEIV+TKFRryTALAwqV+4oQZ9md4IDWhugQKAcPnYw2ckx9gHgAspQK1gdSAh/P1PnYOpeaxYGlNiVRRFYIrhb5nHUGIeAiLLSB1Bxl65TJAEi6PJAH1ogNIig60BXtwR4aJWctjEhugolg0hdAKHHBpgh2GAhJlo5GD8BPrg+3DVj3Pu3J8ej4+RMrmMnzwfGQSVPHPONbAzwTosRgyjdeBame5IfU4TKxnTA+oDiUeBro4AI1oFgHAfk41YHxVzo2qArY74mi396rN9pnJ2sVmgbJJAugQAgwtOxrhJgHQiap7n7okKki4EuDigKvHhhrv6FQ0kQIEsBEyygr06Z5C7V7LZtFsdaYyAoJCgyxEHMWJM7vsOKgHEQM8BMAShcXcOAylpXI3TjQDSoailvG0zKDA7GSxil69R9YHQ/rTHc3VKmusiVDvx0M1ZAF/JnACWUOoAS3BUoHoWU2EOTndeAYMwDDteC2wIWHc6TQZ0MnqS8CYZwnfEdtIaQb9AFiGA650YAEQQQBI7aVQdrGuucEDhz7dc/iHJdf/5hsJtMAgFA3GQLutGnowtJ0e/LzAAqXeMftpYFHvcMBfF3D9hgRXX8MQMO6crgTl6nJEI5wYWxFguElitADQ5JQgYB3BO6WJC2gPgAhN7RGwVvq1TSWsGdaEuB2sqSrpWFrhBt6mcMCIM4CTpYV4EgDXEbdKHgHotitQph2cqPDKpEP6TRoow1UiZxSmanp3JiPuAL4AFnYhCAGUuDtUBAyRp3j50cd+wEFwRCdK2QdwIKnH3x8O6NERNBFwazL8A76oNgfQEgCIL5vBJII4jyC88GC8RGf48F/hIJBAARnoR1lQCzMFi/QQdFmngFW6RJ++nx0kXg3s/embBqTPNWu1FpUvHqCorcgWPX3isLBIUFhQAAAUUIpccdsjZZu4JdFdgJ87U9nZNnP+gfJHekGEdXlnRrNegaA+ijQQv66YJSPO0SihdKDH/6EK9VgZ4YN04O0doxmrgrEIS6Z6xzywPBAywOKMYFudGyQOVvLBEicm05cQ+xCifmBB7RB3PR8QN0AWk3EE4OfXS3yP07EqvVjfpjECXGZ+aMtpjoNGM+w2Z9+nmc940SRhj3ppVAABA37dJuzImxkBS4o69d7yzxGdfx0tVFpbADRulkKhxmIOiMAe7+Wb2RMQBQ7r0GEEbhqdNEddqmljzdFFmrkZfFoBW7D5S4cQh59KiwOIcs3hiXoU9J7fTJwngIPEXQJI5Ap+WAClW7WAAU8B0HYwG0wB2BktevTydFpnT8i44h0fEFSDHFWR1I87xRNSLowiAYgswYGMznhs8M5MFj6nEa578MMRCdPmKh/Q2SQAAQN0jwt+qwBBBumWfuUlkfQZ+xgBct0jhxFgaDBQEomPWgiyFR0TEID3ThBgGAWEsaZ956dRNMmEdzo93PAyY+fm1mgQmYhAWCgabMXjEuGNuRrgq4R5AmeudEYnlCwOXxi4n1AkGX5pwQ++ZqlcFutOlAeR+cEHloV3K41o34owVCpw0zU4fPJuVpYnWsRW3h/2fvTaDlqq5r0Xmq6na6umqu+haEhOgkgQCZzhjHNhjsxF2C7Tixf0zycBI3sf3z33t5/78XvW6MvJ984pgQO46buDcPTLAxNjYYG9MYEGB6kAChXld9e/uqOn/Mffasu+5R3b5uW7vG0NCtqtPsvc6uvedea665AoAYj8cV7jlMCwQAMUzDhdOGZwECiBVzsUm7X7ngLYCQe926fF0tjBXJrp8gQTUYFBYQiNBCXsow8Clzow0ghmeNqX8WF1B6H1jBlOmatv4De09egBsLXq+CC+mSph7vg0JTvMaLB4EthxPNCIWwxJuRDoY8UwScBBHXnzO8TJGRPhmO3Ts29y5KppCavCUKt9lwHQHEP496Ma2R9i6cHyyQWCAAiDASxtQCIlHyppKrVgOkY8AdqI3n83sCCHogbN68PBACGvJOiCMh1USeP1Ip6zE10hS6GT0EFIti5opku20IReW5+az43Bm2IIBIZ1LwHNYhoSfipYM93A2JcinNk8CC2TB8kbtx4/rha1WM5DGIRGkJrDYTR9dme22Jd2ZhBAAxEsuHc8fSAgFAjKW1w70gISkVyRJp0noOpKlgUx4ZE792ZTLZalfK/y2pUGx+fi4BKl13NDgQ4XEObAE+X3oPqJ/RRsVNI/UtYSx+Ro+S9TyUu7JAxLP7gBcOJsRKvSR1bbM6GAb50wvHD0BQiVLhlr64MFaAzGXoFAIHYuBRFY6YKBYIAGKiPIkqaceim+KLl8/GJkkgWwAh0qPlE8i7oHLe8kDQXDb8oYXDkiv1Ga/xpuWVS+OskkdVkW7S9qy6SS8EORDyPrjFkgqT+SQcwRRRLvgDSVLzvL0ngadaEk8ESZmWL6NrcryQRPm+s8YvhEElSoIjjkkLIPS3xrvzxnkiSFwcw3LeFXnC4SLVbIEAIKr56Y9D39PFtGxBeuXMS8dAzeOiwQXhupU9lSdJwrR1BjgBK1tBWRgiqamY1miSKMfBlJPmlgSJzKTgwq8sGxUSYyeo37C0KdGaGMyLz5VaEk/vA57fn+hwlDwRnpCoMt+slTEer3QIQ6RPtkUAWePTAoo4HqdiWuNhpHDPSW+BACAm/SOcXB2QlLVVnlQ6Z5qdzp4pTbOpLpGythoQVonSeSRE5zclv7VQXbpkdLMwJtdTGPvWMnuCHAZ6IbgrV+yfaZZMuxyqeqRABAEEy6wzRZR8iOk1CY+CqpTM4hgsKKm0RZSFIanzXl4HX7pdITcBCQd8i+j44uM4a+unox2VblO4XrBApS0QAESlLRqu168F5IGwtR0YzuDkaUtwK2deJLtZVKJcmbirpZho/9cELWZ7ugJlyMIY34HJBZWLKTMxRCzkcydwYMbEcNJg6c1gdVSFRwggCRhInlzYOHA4ZDQtYgGEODm8n8a1iqUJJKst3UW0/+uTQYlyNJ9NuHblLBAAROVsGa40CAsIQDiPgRdiskQyTaiKD6sSIwHENWf0lI/mrk1S0Fp8JOssLQhdn5P1SKtxDqJr4ZABLKDnlC7VPhx9Cd5K17PFv/g5PRHa3Y/XQ1EIwyqT2hL2lrOjvnD8nuhC+7d+EwDEeD23cN+hWSAAiKHZKxw9QgsohGGFnrgASIKZu9J0XQiCCMoSv521MPyI1a7O7lz7AhCVroUxQhOE06vAAgIQljRqtUlkAqUai7dzsit4IKpgeEyZLgYAMWUe5eToiPVAiEDJSVbZFqobYEt7c5IVB0K7NZcG6kWitKMtlyrnUj2LoyNlPTksHlo5HhYopwMhMKGxrZAd3wtAUEgqhDDG44mFew7HAgFADMdq4ZxhW0BKlFKQtKWkpVJohYYELhgrF4lSqZo8V8RJS670+fTOxV3pct7D7ng4saoswLF555YkTdWOQ45dpTCrkFlDTUIW9qqaAUBU1UiZ3J0NAGJyP79J13qrRElSnSpDqpwxO6RwhgpqcXLlJPvW03ty/hU3VyhEKaA8X6BE3goeEzgQk26oTOoGS8patV3YGf0trxjHJQmkHOckC/uqrO1ffSJwICb1w6+ixgcAUUUPeyJ0NU2iVJtENlN2BidX7tT43v2dA65a3iP7y/OUoqlzlRoqD4YUKwlIfus0YHVzj2DPRLBFaMPUtYA8EATIlqejGh6q3UIFTn6vUuWUsg7VOKfuuJhqPQsAYqo90QneH1XjlAdBAIETLv/Wos/vuTMjc53fMRRBEqUGrNLh0t3leZykrVgPJ+crlgYAMcGHxpRqnjgQDGHIE6a0Y6v7oE5rvIZy3lNqGEz5zgQAMeUf8cTqYDkAwRa6hT8CSKzk5CsvggAGXb3kQOhz6UbY3tk0QREqCUBItrxkcZCynlgjYWq3hmP47lcT7QvL6aE3TGBZXAh50/h/Rx4hhDG1h8aU6l0AEFPqcU78zpQDELbEs9UEsKEIAgiW8ybAINCw5ZzZa3kkHLEy9sS1TOK54C4wCElN/LExlVooAEGipDRL2D9bNZQAQuNYwmedhQAgptI4mOp9CQBiqj/hCdY/kSg5YVLfQbsxggIu/CquZKV/+XdjTVIQS14Gx2z34Q2CCg3kcrU1WrsDB2KCDYMp35y+QhjkPnCclyP9ckzTA/H1pwKJcsoPkCnSwQAgpsiDnCzdWHZzfPE5c7CJ4IHu3RIB0ocvyFfgRGqrbhIUsJw3vQjSiSgpUZqOc2ImEBERU7Fn7vpIwAwkyskySiZ/O20ap8ahxM/kbeAYVjqzxm17PuhATP6nXz09CACiep71hOgpAcQZs7BJOzE1Kq0HoZCEQhrUgSCAkOy1PuekLG+FAISImJq4+fmVy0IxrQkxAKqkEQIQlgMhFVWNS2sKkX+7CyELo0qGyJToZgAQU+IxTp5OMISxtBmb2GJOmgQEtjKnVevjMeI8EEBQy0F1D1Tnwr7n8ZqknTCPr85JsPKW04MHYvKMksnfUgKI217qCVcozKYQm9QnFZJTtkYxDgBi8j/96ulBABDV86wnRE8XEUDMwiYVFrIqfWKo08VL8qN9MYRBIalS4Swvf+0UKH34w4pRCUC4+hhIzj0r6EBMiDFQDY0QgCCItZ4HAQkpp2o8qzpnVyFwIKphfEyVPgYAMVWe5CTphzwQ8hxwgrUS1i4m7HUfbPVClml+5yoTrigmHgYBCBu2UOonvRRKCZ1IQlI2ra+vx2azUawQkQ3dpI+x7yfJcBjVZlq7jeqNylxcSpQnu3o4PTrMAgqFM8SFYC2M7zwdSJRj/bzC/YZngQAghme3cNYwLaBaGAphEAQolMEJ36W5EUBkAKr0UXyHuzNKWV+3MrkpPRRpuWpdj/+r/oUAxGiEMHj/E13A8U6Ai4Rj1pOPwdCMly3Wgq5QSs73T8TRNFfDil8pRGNto/6oryLj2ZRW3UvX0mJl7crz+Z7np8WN+J2EuGj39nxyHJVA+UxcefV8cp5eloeSBjEupdaX2Fa1VLuwi1hY4rHw+gWj9+GVSGUP3Uugk23ReJEdOG5YvXXZDGBVMzB/Wg/5dpjDdsiniQPB8cEXQa00SZyNfSqyyo7LbsEDMWRThxPG0QIBQIyj8avx1uWqcdoJlYsWiWdcDESY5OJBHYirVyQTr+U/8FwtIHYBtumcnMzpgVg1uzJS1rzf0Q7gSAfAPH8VRSJw4WLJV94XR+LCYNNMLTBQ290C4xcUeWA0NlTaXAu9BU76TiBBYCy9KGlx5jX5N88jMHCZLFECeCz3xJ3vP+OiLy+RiK0CKenJQ/eRZ8j13SuD8joKUSk8ZQuhqX8WPFhPjQVdtt1y/atvOocaC3OnAUuagLXzgdNnji2IUAiDdqbdpPlAwMM+0lb6jH2Qdkm+GLIwqnFenKx9DgBisj65SdpuCUnZ3au4C6ptYRcoLr5cFBjCII9BfAeez/M48aogF1M8pS+hEAnPVS2MSgAItu1IO7CvrQc4qK6B1agQENCCbwGNAxje86LFXjFxtpXX4+LCRZVprenFM/3o5f7WvRxI8Au/Y/f71FYtrvzfCRzRW+N3+PJG8NySF8MAId7TLdxGe4OgzoEgvyDy+alEtV3QdYz4AAox8T2PdwDSt4P914JbsqFPd3RS597DI6DGPvDvrmIPWNE15d04by5w2dLEI6Gw2Gj/fCwHgvdUuW5fcbMErNLZRvRAfOs3IYQx2s8nXL8yFggAojJ2DFcZpAXEgUinbaa9BxqY2jETHFx7Rg8HQrcTwOB7Lrpa6OSG147vzaeNnETJBY8u6T0nk7AFX7YmhxY8ufe1KNsdptqn3bp1+Vvip2u/965o4dYuXX3Xe4IMtk0hDd1fC6ldsMX+lwaHdDX4PKznQQstr62Xnpm8KMyMcQCNYQ6TASMAIhDB89yuG0koSnbiZ/zHV3phV58tiKC3RC8uyFIdtUPP2dCAEv5NEbJ1C4ANixKPxFhwI8SBUNiGbZRMu9prn71CMxSSChyIQU4m4bBxt0AAEOP+CKqrAWkPhN0dS5lSCw8BgaSoGYOnlLUWXu3orQKl4srSmOAErQVopGmcvC/DFvvbgP2tyTPjIq9FrbRoU2nQp486TkSiLljibKS5CQpDiA+hHbx2z/JQCFDweC3q8gYIPGhBkjdDi5f1UKhEuuVTCNSU2uL7xs/VF8vr0H3INeC9FQ5JcyGsYBJDOrQVn6PCDvJAWD4Fr8nr02Z89uLA6FppAKGwTSm8YgCPBXJzGoB184ErlyeAwi7eo/ELFICwOhAau5ZArHbIixUhZGGMxvMI1xwdCwQAMTp2DVftwwLlOBAixEmFUhMtFwVOtpxkuXMlj8Hu3N1CaYSknHqld/vzWnZHzvDHSEIYvBc9DwdM6EJtse0QCLILnnbK2lXLNOq3dvYCO3LLu4Xd2FFgwoYq+DXvmSYo2sVTHgBVO1XISGCktNAbL4IDD+m4iw9j2HCHuA0KlViPEL9T+MWBOR9u0LXT/bBeB2urcqRKR6T1AFFpv/I+CHzJdGwHAdji6cAfrAEIJsYCQHz/ZYAy6gJWafDINsheslMcBwARJs/JY4EAICbPs5oSLVUtDMXo09kUljhpY//kQBBA6KV4vibldG0BhT4EJN62YuQAYteJhP8g3gUXMO3e7Q7YZjZoMZNXRCRQ9k1y3XJtu52576A8G+qngInCEeo3r6NduGxjF3i1j3bQj53tl52VVcH7WjAmLgnPI3gTUZPv5dmxA1KLJL8XIVALeho8CPTYZ6i/FdJwBEPPxyhlgniPlLuuASfWFrSzbF7yVvnj6X359AZgUVOPZ2W0flSWA5EOV8lW6p/GOZ9tSOMcrScSrjsaFggAYjSsGq7ZpwWUxlkKL/iYNRddLcIiSmpR4QRL1/a1K3ti5XZXL/ev3PPWhc/Fh4vN20aoRMlrvn40ybxQuEE7dPXFeslt+2cAACAASURBVB0EIqwnQKEEHa/+Wg+MwhPlOAEKI2jBoZHtgquFlZ9r0eLfSnu1u10RFdk+8jmULWEBmrgOBDPiHCgcYz0NAh7qj0BECfx40CEPkfVauJLWPlQiu8qjwLZZoCmPVNru6qvCLeK/2M8Fsv7y0oRMqWNH66fKZ3Triz1gijYR+OM9BR6VsSIbtnYHEuVoPZNw3cpbIACIyts0XLEfCxBAnDYHm7Rr5ASq0AUXTS5MWkR5jCZdpXHyf+dd8Dtvm80gEMLvbUYGrzdSISle87UjwOH2nowB7fTFJ9B7232FFixfwWVZUOPCE+usO51eCPEFLAjRYsgFPO1xsHLe1qNjF0ndQ/Zlmx3HJJOAEHus5SQIgGiRF2CxfbSTCNtp28d+i/NgS1frOjYF1dnKe0IENniuwhXSUZD3hm2w/bV8EbVbx7DfY+2BsACC7bReH3mGFP6SPYMORJg+J5MFAoCYTE9rCrRVHAgBA8W37Y6YKYb8XAscv+MOmMW0+JndXadDGQpZaIFWKGOkxbR4nZ3HgX2eQGn5FTYeb3f/2vnrMy7aEmGiR4ULKturz9JhkPTjVlihpKdAEiezNci8yycgQLtv56FJlY5WKqHsy6wILep29249JQJr8m6kwUJpl58S90rbwXo27PX5uWqhsA+8nvQR5KlwO3avk6GQC58vX8q4sLbqBSo8b4PXJPfho+cD86aNDQeCtTDE5VBmikJYeuYaz/o+pHFOgUmuiroQAEQVPeyJ0FWlcXI3Vkrv80RI5ctzgZO2Az/jjpj/X7KkRz3R7ua4EJIjod2vJecpzjxSISleu8WTKB2z3hizFI7x2g4CR1o85EnQztzF6L1iptVNsCEAHpsWl5IXIK2nIB5EyfVvCJBcqORtcF4ZJBoQ8twoHq+2yiPhQj9G30FgSMQ/dt+SMcV3cJkpUo/0RuJ30vhQ+EVCW/JEyUNi2yOPhDQfXEaGV8K0ACLNMVBKqcYD2zmjDjhtJvCe1cCs+rEBEPRA8EXgRqBIm2rcyg5Wrp3HEkCENM6JMFOFNgzGAgFADMZK4ZiKWSCdhWEzL+TO1UIr7wInWQIEAgi3wCiF0oMQHqednE1PtHHmNy0fmQ4E70tGPUMY9EJYN73lGNi0UoEE64kQSLDZCSXhJn+yFmMHNPyiaTMwFNrhQxF4sB4Efs5r0G4EOxJnstoaWlwJMCxnQGEVAQjrSbBttl4VBxB8QTMBAWVgaAHVIi+iqGxSyrQxI8x5Tnw4w4FKL6Fthaf4vAlC5HUh2KKYlAt5eHCjMAjvvbQJWL8QuGBBwqexYaOKDW5zIXEg+BHBDtvJ8WPtaUN0bDefNatxBiGp0Xgi4ZqjYYEAIEbDquGafVpAJEqRIOUt4O7Y78BKbnmR8bhYsBonAYSAgnbxPEdpjNJdsDfnIsLrVEJIiosOd++7TwBHO5NFKE2cdAuzz0SwWQ0CQ2xbOQ0GtdmGZxQ+4GKeXnj4nWxnr6dztHDzGGVO8G+2lwsa7c1FTdfm8em+iETJz212hTwPaoMVkVKYRhkqBHvcgQsA2ZCT9RTx/pZfIUBUm0s8MWwnwRBf5MHwuQrksD9SqHQcEu/5cOAkA8yuT4AD//FveT1G82eqLAwHbo22hSXA8v7W68T3QQdiNJ9KuHalLRAARKUtGq7XrwXSaZxaUBRq4CKiQlqKlfOCVD0kB4Lf2fRH7da5YHGR4sJIkOF2q6aU8khJlOoU78dMjINtfgHz6YTaSbMN4nWka1XYhV7kSq51XCDTKpP2flYsSTF0SzTtRcI0QlbyLMgbIE+HAxeeO2HrYghECIilC4PZ8+Xh4Dl6huJJiODqrmMyQngvtt8t+CwsRoEtnwrr+B1eBEr3t9eV7cSVEZhz5EQPPkt6Fr4cPMcBQxdr5iUiUuQ+jNWL7aIOhAifCtfx/lL/FCjkJCwQXIhDCGOsnlG4z8gtEADEyG0YrjAECxBArJqPTdqlazcr9zQXFC5uSskUiGAI46rlCXgQc196DG7n5keyI1xmegpG8TseXykAoQWTqY8nfSEt/q1FXounjtP/NsYvjoCIju4Yb0O7aCuEod273pfT0NDiL8+OwkHWo8FjrJKlFjIRMNN8BNt2aUqJ76HFz13TN147/3Q1Ug0PpYoyhMBwg1QaZRtlqvD4UtaKD0nIQ6U2qqaE+qnjxfeY35jIVq+YBZwxKyFQjuWLtrhjc2+Spzw6Csmo7cqMoX06Cmi/7dlQC2Msn1W41/AtEADE8G0XzhyGBdI6EHLhSg5Zi4ckrrUg0gNBAGFf2vFyB6/CTop/K8avRa2SAIJtEPdA5Djt8rVI2AXWgaBiAnLUXwsw0imU4geIUKg+2x259c5YmyhMUS6co5CDE3oyJ0nRMf04y4UdLIDQ8X0pVirEY9NC1ScLnnQdZWNY2wmYyWMiu8kj4RZhU2SLtuRYoOeBoIFeB4a/xiJskX4O9ECIOCmAIyCWDmUIRLXn0X7rMwFADGNqCaeMgwUCgBgHo1fzLZWFkeYHSL1Qn2sB1MJMNUSGMLjwccHTgmAJlZyE5TJOeyl+6/SRkSjLPTO7KKW1E0b6jNPVJkd6PXv+WC+mI2m7FeKy1ymnVZE+VmGt0SZMlusfx+F3XkjCWQQ/TjDLK2Jab5TOFbAKSpQjGS3h3LG2QAAQY23xKr+fsjCsu1yqhvyMk61i99rt0l3NOPcblyXfu52xtyPd4RzEloCX3rnzO9bCOKu5p1R1lT+G0P1RtoAAhPVA8Ja2UqgFchrrnYXggRjlRxMuX0ELBABRQWOGSw1sAZvGaY9OEw75ndLwGCYgcGAlRe7k5PInqHDpfEWgjemIXoGSk7HSClXq+uoVAUAM/HTCEZWygLIwmLVDz4jNMuI9xE0pET/9jfPFACAq9QzCdUbfAgFAjL6Nwx2MBRbdFF+8dBY2KZNCE2mp7gKllfPJpEvvAl/8jhPwFT4LQ1UdCSAsYdIx/D0jXzFnST9fc0YAEGEgjp0FCCDu3NJTyt3KcAtA8H+FMySD3lVE+/eeDhyIsXtS4U4jsUAAECOxXjh3yBYggFgwA5skEFTaiZl0QKUoatfGm5AYd9mSJLwhfoMmXR5H0EFgYePNytJgCIOFuEIIY8iPK5wwTAsoC4NjWURepWpyDGv8C0wIQLflA4AYpsnDaeNggQAgxsHo1XxLAQjVuXBMfW8QDUZNpso6oDdBAELS1tZzQcKhdBQkpSyWv6voGAcORDWPufHoO8ff917skQxPi3QpG8fqoHiZ8SBlPR4PLNxzWBYIAGJYZgsnDdcCCmGIMGkZ8uW0BuTmZTiDREi9FL6gd8GVRDZaEBZcEHDwHpVO4xxu/8N51WEBAohvPd+Tvqs6JSJLpvU5pHsSynlXx/iYKr0MAGKqPMlJ0g+RKJW2aYsJydXLrogjoTAEhaTIY3Bpnb72hfgOJKrxpewN1RUouYeLwGikcU4Sk4dmjoMFlIWhsajMIKujISEvpR7zmI58qIUxDo8r3HKYFggAYpiGC6cNzwLSgZDnocRnMIQyXtlWLaRngiEMeiA42TKuTLAgAGHz6iXa5DwXvokEHW9bAZwzJ6RxDu+phbOGagHrgUinJQsgS5Zc4l/8PChRDtXS4fjxtEAAEONp/Sq8NwHEaXOwyS764jxIREo1E6RMyPf0QDAMwZd2bFbhUTn1tg4Dj5WaIr0XAUBU4YAbpy5bDwSbIBVSeSDoYeOYJRi2qZzt3Wi/4/mQhTFOjy3cdogWCABiiAYLh4/MApKytldR8SnVuSBgSBMqKU0sAMFzBRjsBKzS1yrxbEFF8ECM7LmFs4dmAQKIW19M9EkIGlTfhVfRmCVA5ktESl/yOwCIoZk6HD2OFggAYhyNX423tkqUmkBVblrAwIIH1QxQLQwVorJKlqoSKZcwr2NTPcmZCEJS1Tjaxq/PysJQerFEztgi+5mtjcJzWAsjFNMav+cW7jw0CwQAMTR7haNHaAECiMWzsYkAQINPipMqca1sDO3OOLEyC4NeBAEIW4DKNslWtRRAoZhUEJIa4YMLpw/JAgIQlLLmS9lA1nvmxju9aT7E4UMaIY1zSJYOB4+nBQKAGE/rV+G9BSCs61ZljVVhUi5dgQx6GDgBv3VF8r/Olfy1Cmrxc2VpyEPBnR89HCGEUYWDbRy7bGthKGVZ45P/S7dEAEJN7Y6DkNQ4PrZw6yFaIACIIRosHD4yC9gsDBHKpCipK9siQ/I4EDiwmJYyL9KVF6kLIWAhxT9XE8MX3woeiJE9t3D20Cxgq3HKwyB5dadbwjLkfva1dTFCFsbQ7ByOHl8LBAAxvvavurvbLAx6EJxipCeZWV6D/ZtGYgiD5byVEueKZflYh3UD81gBCP5NYEEgETgQVTfUxrXDaQ6ELc9uM5Bs+IKfh2qc4/rYws2HaIEAIIZosHD4yCwgD4SuwgFIHMD/tRNjVoYyMvQ3SZQEEHq54kTFxBXMl0p8W1lrAgsBjSAkNbLnFs4emgWkA8Hxa1VXBXpJ7NUrxzL22eS4ICQ1NDuHo8fXAgFAjK/9q+7ulgPBzsuNK0PQe8CdmKuVkU34C3w11iQhDE7AnHw56brz/dbOch9sBgaP4TVDCKPqhtq4dpgA4hvP9YieSePE1X6JE/KklXEXyGA572/9JuhAjOvDCzcftAUCgBi0qcKBlbBAuRCGlfklECBwoPIkP6cUMHdxFJKiEiUnXaV9lsp5eza7PBLK0HBxZl8enNU4z5ubXCu8ggVG2wKWA8F7EefaDCHdn2BYYmcczwQQtz4TAMRoP59w/cpYIACIytgxXGWQFkh7IHiaVZRk6MJKVBMAEDAwZCEhKXkp3MTsQYKdoHk9Ag+3q/OlvkcDQFiy5yC7X5HDFLapyMUqdBHF+Ct0uRFfhot1iSNj84JHfOXBXcByIKRCKcE0B5j9ZfQspWXSmQ9KlIOzcDhqIlggAIiJ8BSqqA0EEAtnYRO7bAtmSTBKaZqa8/me39XlkhCGgELJFUwCJuPHKRtyASGIkBw2QxiV9EAog0TFvmxZcoGivgCGXNdKV9XxNn3VfiagpM/4vy0PbbueBhfp49Kuc11b9tT5tlrkKdfwDyfdPz4n26dyw9raSaEm68ovdw5vl7aVjrNt0DGc1DheSLwld0Zjaix/ZuWyMCxPR21JS1wHEuVYPqVwr5FaIACIkVownD8kC0iJkicpnU2LlRYALSgCGDyWCwJJlFoMpAFhF1WlxtkYs+NGFIF3rKosgGAF0JNdwNHO5H+KVdn297WQagHVYiswYLkf4nUQAJVUNj1Csp+p70qDpW242KqqqU0PlE15PYE1a2del+507Y6lU8DPrGiXtDp4b4kjqU9UWBQ/pdczNERXCiup/HptLhk6vDf7wH7LDuS4pNtgq63KvvpMBakcfyYHzK4HzpgFrG4GTpuZhMDG8sX2fP3ZxB58WXl1m5HhAJwpRR8AxFg+pXCvkVogAIiRWjCcPyQLiANBAMAFR1U1uXDIY6DFQQBCoYhLFifhjfTCwuN5LMsju8nauKz5He9TSQBBwLC/DWjtBrryCa9CBb7SHgC7+Kpd8l5I40KggOeyf+wv2+wWl8gv7P5v2knqhi7DxOzOeS7bwnMV2rGeGlucjOfaRZ7nsR0+Du8WcnkebM0GATK2Te3XdWxb1EcNDnkKdL4VUFK4gf2nPdPiSnwv0ENgIS9KGnAKjNDO5NDMqgNYQ+X8BcDaecnfA3k7hjSY+zm4HIDQOKU91Q7rQaFtKGX9gxcCB6JSzyFcZ3QtEADE6No3XD1lgbQSpcp2cwHTLk0LpxXa4cK2YVGywFkvBBc9vjgpl8IfBkC4RckrUVYihMHFe/cJ4FB7cl8uaF1ix/mdpl281T63uHkBIbt4uB29cf1rASdI4QLNnTNt43boUQKOpJ2hFFh5HAggeA8BCNlRj0DAS14Nnq9aDJZXwuvRo8LPeAyBmYCRBRBprQ7dh+Znvy2IoIloKwl7OQ+MCcWUuAC+rzKpbKXFV14PtZdtEEhzxdR4vveOyObLZwBXLAXOmTt2ngilcdKONtWY/ddztONd46CriPY7QzXOMG9OEgsEADFJHtRUaaYARMkFbXbR6mNpp+Z3yVwQuKMkgJA3QvoOdqFJu715PacXEScZHGc194QEhmpP3pfg4VgH0NKa/K2QCa8vbob1HNh7aIcvoMM+EdgoA6W0w/akUS48/I6LN8ED72cFtxQCIQCw4Mt6HEqLrhfTYtusF8RyUNRWt/B7IMTz1S6BBXkxlM1SSplNpSW69hZ70mxLpFbvv9f1LBAoyTszzVGuf/8339fSy5RLrqv7K1PHAhCb1aPrrGpOQmBnz0m8PKPtibC1MNxzkCfJe5n4vYAcbS9bMQsjFNMa6q8zHD9eFggAYrwsX6X3VQjD7nhtRUKaReBCg5PHctLnApCuxmkXHZEp3S7cZ27wMy5ezMIYKYA40AYc6UgWc17TLsZ6nC7k4N3/IsjxWJ3D+LzdRWsRtwupPAe6DhdtAgpew+oJ8F6lMIj3Yqgd8mrwXEko8xq8pvMo+APT99XCLG+OQku6Lu0pQCOAomdmPR6u4qQnuCpN0XpeBCBK3hTfIPEhaDsBAX5GLw/7IY+VPlOYpRTW8sepTQ5QAWiqTTwQ71g5NqEM9ovlvB03xmQasU/qm9rotE28dyp4IKp0Ypyk3Q4AYpI+uMnabAKIFXOxye7ABCCkRsmF2S42PJaMemZh8MWdO89Jhwq04PAYTchWB4Jx8OHqQPDarx8FDrYlbRDhUIqY4iUQIChsIRltcRxKu3i/OMqLIdAh7wEXGC7yzkael8B7cjFi36XcKbs597ffsdtS6FzE3aLrryVRLvEf0lwRXceKe9m6IhpzOk5AT54Y+73dXYsgye9lp7QugjxJWkx5rK3SyvPUX4VseIyO17ECKxbQqZ0kVn70fGBB49h4IL71fA8pVG1Vuyzw5WcK7bAWxpiHMDbGmZXzsOTsObh0USPOQ4TCtmN4fMsOPL7jr6Ijk3WuCe0efQsEADH6Ng53MBaQlHU6hU8LjjQg9N7t2FgLg0qUXsraLk7azVkegSWpcUEhaLhuZUKkGwmA2HIY2N/as4O0IQy3k/a7SHZX3gd9zs8EKBSzt6EHuzgKNCguLpljXovZH+w/7UeQwWPkRUgXZyoBBk/aS/MxtEgrVKFsDrZFAl7aMYvTIHqJ+Beur36x57G8pwCgPB/sJ8MPtIn4HNp9p8EHPxfPw7ZPz9z11/MrVECN7530uZc3t+DTLtT8/tMbgIXTxwZAfO3ZHrl1hTBkY0sqlafGVY4tjnE1zo1xZlUzFp87H1ddtBjXnzkHb4iLyL90CPc8+Dq++cAJPI5PRZ1hEgsWKGeBACDCuBhTC4gDQaDg0vZ8qqLdtfM7ubbd7ixKyG+XLe3hGqTJfErns1kPWqR4rZFmYXDCJ4BgGIOLoUCKAAk/k/aEAIQlGbpwg4+DWy6CdtMEAyLXOS+DYv+GfMiFRqEMej5EbtSCyvc2BKGUTbco+5i7W6w8L6TEM/CERtna8QqYEdCdpESy3QoLacIoLYC+nQqtSBfDAia1r+ShMCNO5FBez3o21DZbqVXpuTZExPOkQCrgox09/xcnRR6KT20AljT1Tk0djR8A20gpaxFn6XGR6qTap+dtx35URMe3nsFZWz8d7RiNdvW65sa4du0inHXhQly3dj7evWImLphWi2kEZie7sPfpfbjnV9vwrS0H8etdn408bXjUWxVuMIksEADEJHpYU6GpBBBnzMMmLRh2p6sQhHWxa6EiifKihT0xf4ED7VJtTF2LlxZhTubkQIzUA/HaEeBge7LQKaNAYQc9Gy4SNjOEn1tSn/MgeIEr8RcEIvRedT1sfF8EUXESbPjAni+vhlJalY4pT4WzjQcQOk8Lt9UjUM2RUxZwVUA1/8s7IB0K9b9XoTMPNGyYyXk+fBaKrWliPQjpsIrapXRO3ov9UKhG48KOL3E1CEL/9MKxC2F878Uk1de+bDhHbeVnCstF0RhJWX8+rrukAesvWoLfW7sA75jXgFUNtXBqGbQtgePxTux/qgV3E0S8vBWP7tkY+QDeVJiJQh8qYYEAICphxXCNQVvAAgjtirkAcPGRy1sXU4xeHIgNi3uTCF32g2e1l3a3RiVRXgwuIO9cNXIAsedk4oEgCOA15YlgP0jyUzye7SIIshwFhQLKAQjrCdBxaQ9EKfXSlzEXF4L9tl4BS+yUl8YSLQVo0ou0dvXaHfN/ARkbHtLCLPDhPAAeNAm0KIOE99DizetpobeZHNbTZImbAjoCPhYQSDuE92W6K7/juVaDQ/YTsOSuek4D8IdrgHnTxiaEIQ6EBbvpEIa4IAJCdPyMOgfiprhhwyysv3Qxfv/8BXjngkacHkXJMHIhQS/cRtsdbsfep1rwIxfO2I7HsDHqGvSPPRw45S0QAMSUf8QTq4PKwhBxUCDAahJo16lFiosnSZRXLutNpNMiKFe+XWTs9WmB3zlzZEqUvN7RjkT/gZkYlqOhdiq90MXjjVCTFnWFZmwGig1zaHHRQszrqo+9Mii8275XCmTqMRNHMQTBF3eTfClzRNdVNoY4C1qs03oa9BLYUIDAgPQW2Ad6PvgMJRBmQxIlvotXXeRi7kWTXLsUmtBx6lcaoKn9bB+9CTxOehlKdxVIUV94Td6vuR44szlJ5x0LQSm24yvPJHZX6CrN09GzV3jDA9FRBRCLN8bTTl+OSy9Zhg+cvwDvaq7HQg0dFwa09WU8MDvajj2bWnDX/a/jXx7ahmewMfIyZxNrbgmtGXsLBAAx9jav6jsSQKyaj00KXWiHqhi6zVzQwstjGcJgFgYXQ+2sRaLje6VwKoRgd/+V4kBwkTzSDtAT4WLbPq6tPoijkBY70q7f7t4dJ8JrIliipVz5pQU4pRfgPAR+1y/Col14rYtcYQ7bHnFO3MLGXbsXuFJ/lHLoQg1+pOozm45pQZG4LPImWLKmLb2unbgFF9rxWhAjXQ3xWtgPhWYEqAgo2S6CJAIZAghxIKwmhFQpz50LvGFxIm8t8ulo/hBpC5Io9QwEHqwN9Df/5/gl0GAWxqjpQGyMay9bjssuXYr/Y808vH1eIxbLnhoP+h06r44XbeNz2HcSux7Yhq8/sA3fevJj2AxE41CibDSfWLj2cCwQAMRwrBbOGbYFlt0cX3xWMzZx8WN8WAueLaJld++cyLi48ftLl/TIVbMB5RT+eD0eL/a9dsuVqMapXW3LSeB4VwJk5ObnfdLARjtmSzBUZoTAQzokoDCOPufxLsTj9Re0w5bqYols6EMEyuBwoQWfG1mSp/YpoLKJPCVO/jpV5lwAwgIKPXS52y23Iy3TXfIs+BoXvTgJ/kKl9vmUXIllyWuga7CvCndp0eViy5cqXNr6IcrIED+FtTA4ds6ak3iyxuJlPRD2WaS5HgrzuFBcbhTLeW+MMxcuwZoLF+FPLliI313QiMXpImN6nrK/woq+/fGuE3j+/m348v2v4buvfio6MBZ2DPeY2BYIAGJiP58p1zp5IOTu1+5dO2Ep8nHSEo9Ai6Y4EFp8ZRyXMukFeviZJQ5qkRkpB8I+CPIYGMYgAOLfAhE2vVC7Ye1AteDb0AevqYVVQMCFb/zC78IwFEIyBETZQgup/rfeGgErgg+rrVHiIHhQxusrHZPHqm1anB3Q8Pe3tpaHwaZppj0fWvwF9Kw+g64p3gXVJRmuIIAgIOD9VWjLkjgFyOyuWSDBggz2a3oNMLsh4T2smZeAh8aa0ec+yE7WA2FDGG5nzwqzZv8u7wTtWYhHxwOx7OZ48YbF+P3Ll+DfLWrE6tocIvub0Vh0wmPe+6DfoL4rFNH10kH88kev4Oa7XsZ92Bh1TLkJKnRoSBYIAGJI5goHj9QC4kDwOnJbp9PZpO1gd0iqhSFCYMk9712/biE1in+a9DiRkz9ADsS6+cPXgUj3mwsd4+/HOhM3uov9m4JUDrh4NUalEGrhVdEpqyop7QMttJKtZr95HS6udL3zn1twPJ/A2lG7WX0mIJImKkq0SIBBHp9SzQ3vEeB5AmMCKpYYacmQAn7u3t4DZBaekrCXlEGtloeAIq/NftIGBBBWbMoBQ6MxUVrwfDhHz8cB0giY3wismg1QwnrR9LEFDw54papxKtOC39naImo3beZ2+qMAIBb8bdy4biHedelSfOzMZlzeWJdkW+g3pOwbeaQUGrS6IKqJcrILRx7djTvu2oKbH9+J57AxMpVgRjo7hPMnmwUCgJhsT2ySt1dKlAoHcKK1fID0gNQOnZPb+oWJpLUmP7mq7e5WxDRN4m7hKY48C6Oc2UX2TO+I1Waek06DtKGVdNaAXQS1QNqF2/ZtoGFg2+Ta4U+w9i0nCqVFRfdN30fXtW1J36svW/V3jr4b6FpKbeU9rP3S9+TYIG9GbviB7FXp7zmuv/x0skgLsCl8ZUM/VgyLnxNDVZQDsTHOnb8Aa994Ov5i/UK8r6kOTXZsWS+DgC69QXrRxpIP19jYfRwv3rsVt/xyN25/7c+i/ZW2Xbje5LFAABCT51lNiZbact4qJsWOKSyhXbkAgLwUjF1ftKh3IaS0joIMpCwGTnicyHmfd60eWRpnX8YfyqI+JR7gJOvEQIBktLojACH+isCkPDgu9OI1OURCdWM+rmwa54rPxQsuXIwPXrYcf760CastABRJVSRcAQh6cDSuVT1U7/l/RwGtL+7Dz36wBZ+/74d4ELdFKQbNaFk1XHeiWSAAiIn2RKZ4e6REqfi32yVmk0VeMXqFLiyrn2l7LKZld/eOI0D9Ba+FoJ2d3WHRLc8Qw3vPqmwIY4o/ptC9EVpAHAiGXRzXxMy0CsXY1OVRqYWxMc5dvhSXX3E6PnvOXLy9Pod6dct5HlRPRpwH/6X9Hal6bCnc4Y892Iqdd7+CzUxyJwAAIABJREFUW+7fjG+89Bm0hKyMEQ6YSXp6ABCT9MFN1marFoa0ExiSUJxfmhD0IHjmt+smyYr8jDoQfIkfwL+1o7O7OcWTZaNK1MKYrPYO7R4fC1gA4TwLvgqq/hZ5WDt7EYErmca58pZ42fqFeP+li/Fni5uw0oIHARqROvk7TINzVXJNy5c7HY8Cup9owQ9//Aq++NNDeDDUyxifcTbedw0AYryfQJXdnwBiWTM22W5bDwI/t3UtyF+gd4IA4gpfzlvgQ+ENTYICFPJAOHlj1tsoAm9bMTIhqSp7TKG7I7SASJQuVdlfy1Y5tWRgjVdxIG59BmePvBZGHG34Mq68dAluPHsufmdmPWbod2ZJklL1lIiU2sL/eZzazHNFdlUdmN3H8Py92/Cv97yOb2/7eNQyQpOF0yehBQKAmIQPbTI32QIITkoiUdqUwnTqIfvLEMYli3uLL0lciBMdORK8lnW1ajLk59ecMTociMn8LELbR88C8kAwU0fjUONaIQKF6JRKy/9ZC+P7z1UAQGyM668+E9dfvAgfWzoDb6jPoUZkZXGESEgVSFCbrJCU5T+ks56Yhnq8A/ufbMGd//Yy/unxP8azIYwxeuNpol45AIiJ+mSmaLtEolQWhly57K54EXbnw88JNAggKAZk9QaUPimWuHZN/F+Ki9JVGC0S5RR9TKFbI7SASJT0QFhOgR2rvIUlVTpOT4VIlKf9fbzo4iW44aIl+KPZ9VjF+yokoRCh9TYw8UJ8B2U38XubYus8fQx1eH2Qrm50Pn8I9//wZfzDPYfwyxDGGOGgmYSnBwAxCR/aZG6yTeN0ugnFZJLipCbdAb6nR8Er8zmxJsZo37S8PBktzSInyJBCISc9golK60BM5mcQ2j76FuBYZi0M1RCxaaoKBwhYWOntrgLaf/jiCD0Q18fZNdfgvMsW4RPnzsPvNtagWeBaaZsq005PgkB8CWR4VcxeGRtGXErWyxdR3HoYj1NY6r5XcdfB/xCdGH3LhjtMJAsEADGRnkYVtCXtgZDoULpyJQEDd0ScgFVMix4ISTorRbNcBga/kzQzJ0VyKAKAqILBNYG6qBCGAIR2+yoUluYWaFy3dVcAQHwyrrt4HS5743J8+px5uK42i1ob2iOIYPaTFDLVNnlHJGUtIjPP5fEEHZZoyfO3HsEzP96KLz6yGbdv+cvo4AR6BKEpY2CBACDGwMjhFj0WEAdCBEhNXnZishLWnHAJLppqgQsWnCr9nBZI0q5OHgiey0n83atDGmcYh2NngTSJUvwHtUApyFLkpMw2PREEED94YWQeCFbcPGMF3nLFMnx6dTN+K5dBxgqEiXQssrKUKK3Wg7wRUjMleCCI4Euf8f3u43j5ntfwlV9sxrdf+ky0d+wsHO40ESwQAMREeApV1AYBCMk5l9LYPNdBWhCSt3ZKfgxp1ADrF/RoPtBkaUloK41tTRo8EFU0wCZIVzmOv/EccLg9CRFwAbahNnnQ1Fx54DryI/dAULr6vEW45ool+Ivls3Cl04Xy4lCWLFkCEL7yajq1U23i5/QIpr2EDDvuOYHN97yCr9y3Fd/e/MlozwQxf2jGGFkgAIgxMnS4TWIBCyD4Xjsz1VVgLQSlX6o+BN+TRHnRwp4sC5eL7ms1SJBHhDR5MwRO6I347VXBAxHG4NhZwGZhaMev8WlbYTMyCIjbu9B+z5aReSAIIM5ehGsuX4y/WD4TV2YjZHqBBV+ozpaOFzfC/U+BKd9IESptCqf9fe04jqfv2oIv/HoL7gghjLEbXxPlTgFATJQnUSXtkBKldmPWbcpJ11VjJGM8qQtQ0oCgi/fChT1GEoCQEqWVwJZ7WG7b0SimVSWPK3RzmBZQFgbHs9V/kIQ1LyuSIsMFLluIpejzaP/x5pEBCGyM6y9bjrddsRyfOWM23lyXRUZARenSkq1mO8qmcEZJwTbyHJS9kdaB4LnbjuKpH7+KW361FXds+0x0dJjmCqdNUgsEADFJH9xkbbaUKG1OPPsiICBdCE26ihFP9xwIAQvbf15LKpYWSGjHJwBBDoXIlZPVfqHdk8MCHMdf+k1SXZQvedU01l12kNctsVVnmYXxo5dGBiDmbYynn7MS77hiCT51+ixcVusBhMCCSJKypAMQxqwl+eoUgNBvVuCD57WcwNZfbMfXf/o6/vXFj0U7JsfTCa2slAUCgKiUJcN1BmUBm4WhRZ8nSkyHi74IXEzHZB49j5tRC2xYnAANvmw+vXZvSgcl50HZGZzsmAYasjAG9XjCQRWyAMfpF59KSsnzRb4AeRAc0+L5SEiK3wswVyKN86yb4xUXLMEfXbQQH25uwAqFKqx8tn5jFjyoLjfbImlr57GIevgPChcqLMPCWs/twy/u2oLP/3gLHsDGyEtnVciQ4TIT2gIBQEzoxzP1GicPhHZi2hUplMFJVSWYBQz4GTkQDGEo7ZM6ETxH2RZWQU96EprkRquc99R7OqFHlbKABRDa0Ys7YFMqNcb1WfdIPRA3xQ2XzcJbL1uGT5wxE1c11KJe4mtW10E1aEohRN9xgQUBdEu+TCtpSpBq30ns/Olr+NI9r+CbL30CO4IiZaVG0cS/TgAQE/8ZTakWLropvnjRDGxyinZ+9NmJTX+r0yJ38fjz5vauIMhj6G3QDo//K61TngpN2vRArJ0XQhhTajBN4M7YEIbGMD1pAszyOlgQzL/jeGRZGOd8MT7z/Hn46NqF+EhzPZaoSBd/P5ZkTIAgXQfXJq9EKQKlfptW6lptFyFToZeuPLqeO4B779yCf/rRS7gveCEm8MCscNMCgKiwQcPl+rcAAcTSWdiUTgnjWdrhWM+DvAic7AgArDvWAhClmYmIyV2Xm6RZTKsQdCDCuBxbC4hEKQ4E7y4vg3b3NiuD4MKHMdrveH6YHIib4oar5uDa9YvxqTNm4oqaLGpcGrQvKqcCXiJN0oNQ68kP8jw4j4M3lfvtsVquL/stfpJNSZVVD7fh1Z++jq9+/3l89fVPR/vG1trhbuNlgQAgxsvyVXpfcSDKaTYoZYwLPidehh7cTonFsmqANfN6jGazN/ipnZR5niY7t8PLJxyIQKKs0kE3Dt22tTAsmOU4VTVMjksrhMYFneW87xwOgNgYZ85ZiJXr5uOGixfihul1mM9uu5CgLzanbA+ZQ783ZlpYDQgCDgssFFK0IIi/SZ3j79O2aTd+dNtL+NwDD+MJfCnqHgezh1uOsQUCgBhjg1f77VQLQyEGW9ZYOx7yHFwZZC/Ao0nXAgja0U7MnNDkuZCNNbhDFka1j7qx779CGOLoqAXiHhAkK6Qh4jB/C+354SlRUn1y6en4rSuW4M9WzsI12UyP94EAIV2gju1RNoXSpm06pzyEDpz7st5W/0FFtQgiVNVz8yE8cefLuPmhzbhrx1/haOBCjP24G+s7BgAx1hav8vsJQFgzcAKl14ATlEoNc4JVJgWPpdtUHAiBB07SZI5zt0SSJV9KjePfYrYHAFHlg24cui8AYb1hCmGQAKxMITVNGgvD8kBsjDNnzMLScxfiAxcvwg3zGnG2Mi5sWrMIkQ44eGAggqVAhgMMJqfT8Te8LksJYPjvlcGh8MehVuz62VZ88ydb8a/P7MG2wIUYh4E3xrcMAGKMDV7ttyOAWDUfm2gH5zHwapIEDJyolD5myZQKZVy0qMd6CmHYrAx+q9Q4fi6yF8t+sxZGCGFU++gbu/7bEIYDwNmEwCtOjwW7JcnopHlD50B8Pq67pBGXr1mAG86dg/fU12C60i+51peyPzw40G9MfCLeVO0qaTz4zyQiJfCjNE5bR0McC8pwP9WCn935Mm55fjue2PFX0ZGxs3i403hYIACI8bB6Fd9TAIKAQSDBSlbLa2AZ6zyOkx51IBwpzHsq5Lmw5pSeBK+vHRd1IN53VgAQVTzsxrzr5QCE5f1wwbbjXg0sxkMPYcz9X3HTG5bjD86dh48snYHLStU0PQgQV0GhBpvybLkP4kJYMCGgYAEEvxd/QtkbEsp67Qieu/Nl/NOvWvDTzf8uen3MDR9uOKYWCABiTM0dbpauxil3qchk8iI4yd+4R8SGSpTrHC2sZ7dkwxU2FTSdb09C5nuDByIMvjG0gHQgOEateqrGqca9FmY33gF0dg9dynrJP8ZzrlqM/3hmM94zexpWcVJnKFBAwmY82bYISPQqtOVDGxKasiYTsFDpcX5nMzx4vYNtaLnvdXzz/m249aE/ip4cQ5OHW42DBQKAGAejV/MtCSAWzsImq4pHe9iJ1OzGSsJRkrLmdyJP6jxNYrbCpyZqTmqcxEMxrWoedWPfdwKIf3oyGXviHGh8ijQpjg/5PQrlDQdAnH5LvPCa0/G502fizY21WMDrCjwoOymdteQWfz/7y8sgDwTbS4+fXvJS6HO+Z3tdP6iw6TVdeI/jHTj29D7cc/cr+MqPPxTdO/aWD3ccSwsEADGW1g73AnUgFs88VQdCYjvaiSkUQbIZXb3TcsAlSxIDyjthc9x5vjwSaY0JpsuRA0EPRqiFEQbhWFjAkig1ydqwhV3Q+T3HrluUi0OvxrnylnjZu87ENxdNx4UNNWgSGC9lWZg0Tf029HsTeKBNLIBIF6cTkZJghy+2lS9laOi6rV1o334MT9y5BTff+r7otrGwdbjH+FkgAIjxs33/d94YM7xYO7cBNcUGRNPy6N71a3ThtshrL07UhvffLltMy1Uf9FwFuly5W+Luhp/ppTgxdzkEELZyoWWacwImUJDwjXZ7vM7JroQDQSnsACAm57iZbK0WgLA8HwmlcaxyjCvDwXF5/PvhAIjTbo5XfHgtfjKrDitrssiJo1CqG2O8CdYjwd+UBRCccHpJV5Nr5H+TNnyhEKHjVHhdC1M9t3CoDa999wX87dfeFX15sj230N6hWSAAiKHZa0yOXvC3ceOKOVizZh6uO3sursplkNt6GA89vhd3PnoST+NTUeeYNGQUbmKLafHydkFX3FYVOG0ZZAKD8+cnAMFOuHqvHZHCGfJGcLILHIhReJDhkv1agOPvC0/2pCJbQMvxy9RiV7TK7+jlkRhOLYyVt8SrProOjzTWYm4UIZL3wGqtKCtDAIIeA9Wy0L2t10GS1iJLsrNqLz0VfLGPBBxO28Kkfh7vxKFvPoP/8YXfjj4XhsnUtkAAEBPs+bIU7+oV2HDhAvz2WXPwlvnTsKoui0xLK1589gD+7aEd+MEzN+LFySrSIgBRmjB9LNUqR8orwXx5AQQeTx0IvidY4PHS8ueELLetDYXQe8FjCVJCFsYEG+hTvDmWA2HDFRqr7H461MbJeDjlvM/+x3j1R9fjifoaNEmrQeaVB0RZEqpBUy4dU94HWw9DXhJez3oh+L4UxsgA9b64HY/p6EbX15/HX//91dHfTPHHXPXdCwBiwgyBOFp5C5aubsYla+fht8+dj7fPbcBC/qi5kBaL6Np1As9t2oU7H9mJO37zc2yejOEMZWFYpTunB+FBACdeidsIQCikQR0HvgQ2NGnJi6GsDe2GBCDogQghjAkz0KuiIRZAWMVUuf+1GAtQqLR9oYj225/Hmbs+G+0erKEcgLgQT02rQaMWeoX3BKx7le+mOJQXiOLvUKGL0u+HpEgPGCyA0DUlY13KkvKeFIVoCED+5Tf4L3/3tui/D7YP4bjJaYEAICbCc7sxrll/Ic5cswi/TfCweDrWTK/DbO0auNN2u5M8Ove14bWn9uGux7bj9od34tnJpvZmy3lrF6RHYMtwW7eqUuGoA8FJq6uYxGalWkmipfVCcAKzk7ZIlEFIaiIM9upog9I4CW45Fvne/Z49H4GgWHwdgWL+z43CgzvwjgOdeGFbAUcGE64kgPjji/BUfQ6N8jjIw6HQhYrN8beibAq1xT4RKWKqqJaImDpGc5KAheVN8BgCFdat+eensPH/fWv0X6vjaVdvLwOAGO9nvzGuv3Q5zl+3AO85by6uXjIT5zXmUC8hJf2Q9YPNRsjvPYFXnt6Hnzy2G7dPtsI1BBCLZ/coUSrkIIY6JzgCAw5MeSX4HaWqWY3TyldrArSlu102RiEBGYzVEnyFYlrjPcir7/4ck195JiHwykNG0EtwK6+ADTPII9edR9fWI/iL9gJ2FWLku4s4eaIVBw4VcXB3ESdxGN3YGPkciOQKLOH94fOwaVodZvK9zfpQSEP8BilLygPB4xmK0PxiC2fZUuDlQIZVo3T39QJvcYz4q0/jP3/u7dH/rL4nX109DgBiHJ83FeTOmo8LLlqM966bj3fPrMPSuhxqJTGrGKN2EZyAHAcgj+6DHdjx2G784KGd+MbjO/HSZPFE2DROuXPldnXgIPYqd16pz/Xd1MJwuzQd4ydjhTx0PUuodCTKIGU9jqO8Om9ty3nb8WjTH2kZgl0LgOMiurYdxye7i9ifjeAplm7Mx115nDxZwOGOdhw61Ibje07iOH/3zMK4YR0eaKzDklzGYQHnZdC8wfu434gH1PIypLVXrKaDAIFqZMgj6FKnrRKlL/9NRCNVymMdOPbdF/Df/vmd0U3V+fSrp9cBQIzTs579N/HMNYtx6cULcP2aBXjLgkascFwAz2zWD1ZuwZJ0rH9iRPl7TmDLEy247YFtuO2p3XgRG6P8OHVn0Ldd9rl4w/wmPK4JjidaAqVcsOq/LUG8Zn5PmWFpQHBi5N/0NFjPg8hiKg0eOBCDfkThwApYgGE3CklpwRUfx2ZGcKPA3zu9ZfICREDXzuP4ZGcB+6LYrcmIMknVb9IWmAzhvAYxOvN5tLZ34QgyaHjjctw0vxFr6nNo0G/LKk0KuIh4LJBhS3IrPKENTBp0SPgqDU6cl8OrUuaLKOw5jldufwl/9833Rl+pgCnDJSawBQKAGIeHs/SmuHnVfFzuwMM8XD07IUtGTkjGI3lbfleLoXbfhoBV2HEczz+8C997eAfufG4vXp2IIGLpTXFDXItpTVk0Ta/Fm2qy+LomUvVJOhACEFYUSuQsCyAUUy6RxLIJEHEFi0ypYtqUJMr3nxNqYYzDUK/aW6aVKEUO5njNe912pUPyvUiL+SK6th/DJ/J57IszpWiEs2MmQpTxoMJ5FSJExSKKDRnMOG02Pjy/ERfMqMccu8DzHgqbWGl4GzpUNU22gXONQIUK0ok/wXvK+6AHqzCH0qfbu3Hy6X341Q9ewRd/9IHorqodAFXS8QAgxvhBN38+nrG+GW+6eBF+/7x5eOuserjcAu0Q3I+UoQrvglRs0qovchfBDARODq1d6Hr1CJ58cCe+++Qu3P3cL7B9ImRnMDwzrxHNDXWYWZfF9LosptHBwpBtHOEWS5i0jyAtFMXvlLNODoR4D9ZeVvzGTtQWjAQPxBgP9Cq/Xbk0Tv3OrRdC5F+N686EA/HnhRj7BBYKceKByGQTj4TARCEBy8VsFo0Lp+Oq5TPxW/OmYbUNDcqroN+I5V8IRIjcaYtwOWDvNzOagyyBUu226aH87e5vxZ6fvYZv3r8d//vRG6KnqnwYTPnuBwAxlo+YhMnTcOklS/CRtfNw7dxpWCRXvRZEuxjaqnm2mdytW0nZti6cfPkwHnhwF773ZAt+9tqfRfvHslvuXjfGNc1r0DAvwpyZ0zAnF2NaNocatwGKUOQkSH5jnMG5cYwvuMnU78REmLShDO123E7LFweikJR1udo+iizGz3gdpxXhd3a8T9CBGPMRUdU3FIBQeqaMIc6DshsUglPYoFhA12tH8KfdeewrZhLAEBd7eyL8byOihyIqIo6zqJlZi+VLm/CmxdNx1bRazPYgw93WbkgMAEm+Y/jBpHQqRVNIpZQN5Tc1VruCIEKeQwKgfBH5F/fjgR9uxi2bDuDX2z4etVT1IKiCzgcAMVYPeWOcu2Ax1ly4CH+4dj6unz8Ny2pziKyCm22KzcmWq9MyqPlDtuSr413Y+/Re3PvAdnzn2Vfw4J6NUduod+3GuGbp2WhqrMHM6bWYXV+Pmdw1cVIrZBFnC70nvkKEbgDnxRG+UCI82jKcpqiWdbEyLEE7SQdCk6MtU6y+ihvhyoV7fX+GQwKAGPXREG5gLKA0ToFkgWMVodIYtmmXrt4E0PXiAXysKwlhuHWcoYu0cQkqsubzbA3qmnJYvXwG3jK/EW+YXofpzpvnCZSSiS+FN4zOg+YRggDHtYoSTx/nHQEIKU7qd2tDhwQd5GTtPIbNP3sdX/35Ntz28m+wG1+K+HsPrylsgQAgxujhrv3n+Oxz5+F3183F+xfOwJqGHDL6kabdiwpXKDapcIbeq1Ke3bGTS3iwDbs27cGdP96MLzz5sejlUenaxji3eDpmzWnC3Gm1mFXDaEoGOXoYCkXE9DbovukYrlO/LeC8KIMvaiISMYvnaLLVrkjvmYZJj8v6BT0hDB7PyY62cmDBAxF5IqxtgpDUqIyEcNF+LMDxd8uTSQqx3cWLKG0BhBvDLPvNXT7Q9fJhfKy7iBaRKFEGQBBUpD0TdTWom1mL1Qua8JbFjbhwdgNm897iXEhyupTa6d0M/P3wt2ZBhquT4bMtetXH8MBDvz+fck1C99YHd+K2e7fiG0/9DFsmQhg1DNDRt0AAEKNvY5APsGE5rr90Mf5ocRMuaqrDNLks3Q/REJ00sahZPE4FbfSZc3+aHYTSGskx2HUMz/9kK778yDbcsfmT2FsRyevPx3VLMpg+I4fmGVnMydWigd4Fehms+eh5sO8FIPh5FCMuZlEggChGCYDQ4JM8tXY1nMzEEudnBACcqM5fcOquSC7gNICQJ4LtaesOSpRjMMzDLYwFCAg+v6mnMJy8YQLONi2SC7w8jojRtfUobuzOg+5/UwbLpWH0mq+tZ4JggtkatVnUz6jBqvnTccmiRqybXodFtTk0iCApj6fCFvzfAgjn5aSeA6Wp/RxjC26lUzg78mhtOYFXHt2Nux7ZhTsffRTPBc9D9fwUAoAY7Wf9+bhuw3RcetkS/Om5c/COedMxw1Wui3sEZhSjlHqiPA3lhFxUB0LuRj5ArtrK8e7Oo/3lQ3j4x6/hXx7bgbt2fTZqH1YXr4+zS67CrOYazKuvRVNtBtMZnihGKAooEBSQCa7r830vAOG/4+eFDEO5KLCkRWce/yzRGe16LCnSZVJEPfr6LDzEm6zzUtYOZPkbaSJ0HgzDe1DaK4EEz3/P6lCNc1jjIJw0LAvQA3HzE17nwadnKyynTYLzDvjMK20kqAOx5Qj+pLMb+0iaFDDg9/z7lHBG2jsRI85FyNXXYNH8Rpw/fzrWzKrF6fU1aG7Ioa4ul2hLpLMp+Jn7TRq1TJthIW+f70OxGKPzRCf2vX4Mz/6mBT97fA/uef4+bAueh2ENl0l7UgAQo/zozrslXnXJUtx43nx8aG4jljB7gj9S7jq0a5YevX7EmmC0G7BpnCII2jRPAQgRsw62oeXhnfjO3S/jS8/+ObYM2guxMc41N2PanBzmzqzF3FqgPqpBVh6EtKkICrKG4MX3fZnTeSBiFKII53XH+BKPs6p3YnXzApbbwYmOHgn+v5bVOE3VP3lelKZmAYTd4fH83zsbWDc/lPMe5eEeLu8toBCGwmuW62B/3+JEKIRQm0HXcwfwJ11FtBRjZMhzcARkkiUzvdM4/XXcHE6hKRmfbgvyJxozmDOzAafPbsCZM+px5sxaLGysRVMDtSIi1NbkEg9HmihpCcklPgTnrAK6Ootobe/GkSPt2L3tGJ58bh8efHE/Hn/1U9g96HkmjJIpY4EAIEbtUcbRkn9E89pmXHflcvzFshm4iFoP2nHb2ypEoZi/OA9yw1sJXFvjQVwBx5kwErYF5pIfx1O/3I6v/fxV3L7rs9Hh/rrJCqBzZmJufSNmNdagydXa8RPSQKDAeiAcAEp5Iex946LDBmuiLL6kgad2W+Qh0EBZa70aa4A183omO35OEKbwDydilQEXuVIuWNrnvWcFADFqQz1c+BQLpDkQGpMi9woHp1MlHYnyIP64tQt7CR4IInTxKOtAuHtvCZTpm8tTwd8xeRHZCE11GcyorcG0mgxqMxlkMzGycYzi7GlYu3oO3i0vH8ED+Q+bD+J7rXm8RodEqfBdjGJ3jK7Wbhze14ZX9x7Bq4c7cGDXr3EseB6q80cQAMRoPfdPxnUXXYANly7GH1+wEO9prMEsxfiF+OVx6A9AaKdueQJyz1tJWi6e4hXw+45uHHt2P35864v4u0dvwG9O2R1sjGtXNmLW9JmYxzLA2Qi1ClEM1iTpEMZAACIPdEdFrCWA8Lumkix1Wr9folCSqS7VwjAiPNaeVs2PdtGLtgjlvAf7RMNxlbKAAARl1N1vmBUu6U1T+XrPe9AmgZVnHR8hj67NB/HR9iJapAMh0EAAwWvFBbgUTvd787wjvheoELmSnAh6L0hsLhaS0KN4S+QwdQMdS2fh7ZctwX9hzQ69+Fv75Tb8+yPteDQTodbdM0KUzSDivdmOrm50tedx7Gg3WgZb9KtStg3XmTgWCABilJ7Fis/FC85fjA9esQx/vrARZ/LHp0VTt7T519xWWBVK7lhEEJSrX25+nSeFOBfW8G5+S47afhQv/uhV/MPD2/Bvr34qOsBp4Iy/wYyaRjQ3NWBeQy0amDlBIJAvIs75NnKysJ6E/ngO9jz2i+/TJuV13ecZ5HMx1hQz+BenyOcrFCqrRP3j+VKi5N8EAQz9UEjKHeM5EAJSnJQJEhSz1f0d491naVx/TuBAjNJQD5ctYwELIESg5HgkkBD/SQDY6r3ERXS+cBAf7TQAQgJSlqRcJsOpBCxIckhr2isEUpp7YmTyQMeS6Xjb5cvwn9IA4pEd+L8PdGBTJkYNwyMZn1Jq5i43nxGsUFL7SDf2HO7Ggd2fwOEQyqien0QAEKPxrG+May7cgIuuWIaPXbAAH2ioQUM6BqqF0TKcrZQsXfNaLOWmV1O1K7ehDvEBbDzzZAeOP7MfP7l3K76y9RhO2PW6AAAgAElEQVRemZbDDKpC0tvgyJAeOLidjMmoyMbIFHw6JnccAhY8jp/zs9IiHaFodyYEJPquxI/QjJZBvhhjTQH4cskt6gldbjLyfxMMsD+qysnv2C9yGCx4sCBL4QyBBila8loEEQQQFy8MHIjRGO7hmqdawCpROkBcSMaeS6XM9mQ+yFumcU1y4pZDvQGEPAtSpOzL3o506T0E9jfK37b1VLjfWsGFR7oWzsDVbywHIHbhP+07gceRKZEuT0kbFaGT4CKKkM0X0dnRiRNH2rFnczdaMFwCdxhQk8YCAUBU/FHF0eqbsPicZXj3xQvxkWUzsaE2g4x2G9qF2DCGUrtU+c5yG3ScC09INY7eCd9uyyXgRzZ3uxijeLwDu361A99/dA/ubcvjeAmEpESeLIDQJKSJht9pQrLHOUBRRCzvigUP5cyaIwciizX5Ir5CcGC9EOon+8OJ1srmKiuDOhDazdmQDu8lgCbPhbwaAhAfCB6Iio/0cMG+LSAAIY4POQYcmwS2KqIlpVR7FS7Crx7uDSDSi39fd7VAw3IkpFhZ+u17T2N3AZ3Lm3D1pcvw/6Q9EA/twH861IZHiz6EUY5zUcoKYSaI5z45/lQGMUMxx7qw+2AXWnYfxJF0CfIwdqaGBQKAqPRz3BjXXrwUGy5Zgo+d1Yx3NNVjjvUU8HZc/Mh74EvZGPQq8HPVuBDg0DFuFw6goSaZhBS2sNkGAhBu5+7BRiZC/rHd+NF9r+P2PcexnZ4Hd1yqUE9/ZrAgQaCh3PEDpXXmMsgXYqzJZPBVni+SpMAC+yywoGwLTsA8jjFieiD4UraJ4slKMaMt+Rn/MY+dL+78OHH//rkhhFHpoR6u1z+AoJCUwnQ2s8iRnuOkCmf6VSw6D8QfFYC9lkDpfrMp0G/PTYOE9HflwAU5EIum45o3LsN/TgOIh7fjr/a1Gg5Emfkizblwc5RPK6VXghyOQhHdrUUcOd6KvS8dxF6WHw/jZupYIACICj9LVyxrJq67ZDn+cmkTLqrLIeKC7oCA34Eodq88cC5y/Iy7ZgKItNiMzS7gQup0JHy75QKV+FKpqqX/Phch3nIYjz+4Ez98+QCeOtGFY/wqnT3RnxkGAgY6lzsPq46nMsT6nlkYUYS19TX4qlvofSqr8uPZT9pCKarso3gR7Pc5c3u0+509vRFKYCx1TR4jUPKBc0MIo8JDPVyuHwtYDoTSIq30uvO++fFLMCHl1JghjCP4SCGPvSJR6rdajvegJpQTdrPN4/fp8wkgls3ANVcsPZVE+eAO/MeDlkTZD3ixRb70+yeQcNwJVhClB7aIYncBbQfasffQCew5+B+iE2EATX4LBABR4Wd4xufi5euW4PoNC/HxeY1YIfa19BvoQeAir3TMdKqmmlPiMhg9ekuQlBKlFkl+p508P5Mrn/c/1IZtT+7F/Y+34P79rdgWxyiUW+jT0rgEAAIP/QGDvkx4irBUAfkog7V1tfia0i5dSCeTACIrPy0PjDwRdPueNSfxwmjjJvEpW7lUgMMBKj+6u/IJB+LCwIGo8GgPl+vLAvz9/cPjCYAtbRR8ppT4OTqX47lUTA8OQPxhRx57yUUS2BefqC/gX84DkSZCu0wNAwQIIJY04Zo3noa/PiULYzv+/cE2PFbrQxiuHf14LS3nQselwx5OFCuLbDGPrrY8DhzsxN5tH8e+QLqcvL+jACAq+ew+Gdedfy7OX78Ev79mPj44qw4LeXnFPPk3PQyqpMndNl98L3VKkalEriyV2PVAQrF+ZWYolMEHKe8Dr8lQACcxejU6u3Hi5cQLccdrR/EMiqeQtHtZga5TeQ80CZXLxCg3mfWrA1FAvpjB2posvmYFowQg2DfaxwEgYxs1rpSF4TMx7M5NolvlHmcoplXJQR6uNRgLSMqawIAAgnLs/NsVzMr0BsJucRbgjdH58uFTAQSPKZc2rbZYQbdy7Sv3W3UeiOm4thyAeGAb/i8CCKVxprM40vcohTN8qmdfNpIYVi6LbFcR3e1dOLKvHbt2PocDQQJ7MCNrYh0TAEQFn8fiv4vnrlqAt6yfjw+umo235rKYwctb8SixsG2YQn8rk8KmdUle1k08PnRB0KDrSNqa16C3QTt2pS9692m84xheum8rvvH8ATzSBXTYHUPaBDbrgt/1l6pZStFMuAlJumYfr7iAfDaLtXEG/1py6/pjVfbYhnAEIkQ8ZTVOgQaepkqDAlUlIqaX5FUzgg5EBQd5uNSgLJBO4xRAkKdBv3lezHobGcJ4+RD+4GR3TwhDv8f079A2pBxAGAhUEEAsnolr37QMG9MeiF/twF/uPY7H6rwHolx13V73994JAonBeCqkW+GJmMXWbhw/3Iqdrx7GQWyMOgZl5HDQuFsgAIiKPYI4OvOfsOK8eXjv+fPwwYXTcQEi5OTC1MKoCUO1K7jgS8fA7TL84pcuYKPaF35Bd5OOJWeWNCV8toZbaL37lH7QlpPYdv/r+PaTLfh5ex4nBvMjH8g0ys6wAjfpLA1dwwOW7kyEtVEGX5cdRAiVEBbf0yPDCZjMdYEqelfogZA72OpelNzEqZoDShXl5BhCGAM9zfB9JS2QBhBSRRXRVxsLCyD4N3UgnjuID3UQQGR9CMOHHWw2VBrkl2u7E38yUvM6RuqyJGz2BSB+uQ1/ub8djzLl281LZmOQnjtsWMQKWqXbZM+zmV6u34VEqKqtG63H2rH/ZBd2DruOTyUfZLhWvxYIAKJSA2RjnFmzBGsumIcPr52H62c34DRdmjtlegysp4HvlVFhAQTPIXhw5XRN3QeleJYWUMVTmXHhwxflXKO6xOF27P7FDtz2+C789EQXDpZTsjvlB98PccpNKl47QpOLC334nHM7WfB7zyh3AKI2h69bAqXSOQWKlCdPzwGBEAEFgYVIlOJA0CY2HbYUzvGjWn1v8xyIoANRqcEerjOQBTgW/2FTAoL1cplR3uPgyneb2VfjmGmcLx7EhzoL2KMsDJEpBwIQ8v5ZQbiRAIiWk3ikNoO6/oCAm6/MPGEBBHUr0umkVMR05/hsjTQYkWeUGhWHOrH7YAv2HtgYnRzI3uH78bFAABCVsvv1cfaCq3HJZUvwJ+fNw3sa6zDbaj8oE0MkPwIELowiBcoNrx2324kre8NkG3BxdZkF3J37UuC8DuVny1X51KJ8qBX7HtqNHz62Cz8+2IndWvRtyIETT7mc8b7KdGtnYieu9CTGY+R67Qa6a2Osq6/DNxieEA9CfXdFxVwiedJHggylwQlAWMIkJ2TVFrCPUSJcqi3CY4IHolIDPVxnMBYgQPj7x3oLl2lsu02A8Za535GfiekVeOEQPlTIY3cJQHhPhNKp+wo/Wk8gr2mBhLtHqk5NsYDOxTNw7ZWn47+WIVH+n/ta8UhtnAAIei0EZMr13wKBvtJNeQzTyG1GSF81PXisxK6Od+Ag9Wy2fSY6Ohjbh2PGzgIBQFTK1hvj3GWn46pLFuFPV8/FtY01mC4AYeOdvJ0WdRumcMDBhB9U4pvHWnEkAgi+CCDkxid4oDeDYMS6SBXWIBA53IYDj+7GTx7Zjbv3nsA2VsYs7Yy8e1IAIs1j6ItAleY82ONs3NYAkO5cDc6vyeKblreg9E1NopYMqhRWfra6uXfYhoCDufRK/aT9+CqBMU9O4/e/G5QoKzXSw3UGYQHrgbCeBweovQ6ELZctvk8Uo/PZffhgvoA9hSiplqmXeA59abhIyE3fC2j0+i0aUbhiBp2nTce1V56G/3YiVQvjgW34bEsbfl0KYTAl0xT2su1yVXnJgfDeFpt2aueEXnU7CojEqzglJOJ5FDqX/ShE6D7Zif27j2BHSAEdxAAco0MCgKiUoTfGuatW4Oo3LMafr2rGW+prME3iMRI6EniQ69LyGgQg5GEoBz5EnOR1VCZYdSIELJQeqm4pHHK4A4ee3IN7H96FH+09gVe7Cj2ZGAMp3VUaQGQz+KZkqwlyGKqgrVztD6+mSd0H108fqiFIWjU7ARC0jXMB+xiFE+Hy3ot0GIPfBQBRqUEerjNYC3Ac3vxEAvT7ewnkSxRtMACiv0wn3ku7enkwLNC3Ica4Gx1LZuG6q07Df+8LQDB62Ff708RNGy7hdy7jwocs0iCo9N6TLwlONM+IiJn2fPIcAon9J9FyeD92h9DGYEfj6B0XAESlbHtjXPOmy3Hd5cvw8ZWz8KZMFvVc5FzdCrrl/WJnY/YKY7hdiQ/sqzKnBQJup8K6uj4FTN/xc6Vzplnd2oXrHkc7cHjTXtz38E7ctf0otjAjQl23sdX0D7scuOgLcJTbbaTM2x3nsK4+i2/ZVA2r/0DVSdX6EN+DfW+qTTwQcv/KrtaeCnuo7wJsvP7vnR10ICo11MN1BraALectjwPPSnsdBITlPesqoPOlg/hARxF7rA6EO9eEIPoTgpNmS1+p10oHLXajY0Wz80D8zzSA+Pnr+My+k3hEHgiBkLTkvfNa+uJ7Im3SI2FTTm0quECG81oYgqcAhwNAnlNhK4f2mpcyyBWKaD/eigP7DmBnABIDj8fROiIAiEpZ9sa45s1X4p2XLsHHV8zEG7OZBEBIKEoLvQULJR6EYvkEG5lE5lrufDWPC6WImPpMaZvWW8HztJtRaifPO9KBg5v24J6HdjoPxGuFPIqaDMqlh6VrX/SX9mmBSDlzlkoAA901wLpcFt9Op16muQ/2e2WsUEhKxEkrDexsyoyTMqmdbtdSDByISg3zcJ3BWUC1MNq6k1CjwIMDtf4SluOj1G2SKJ/bj/d3GxKlDUHo7v1lYaTBRTngQZBRjNGxfCbe/Y5V+OvjqRDGT17BZ/e04SEBCP2GexXL8zwFgQvbprJziidOlrMgwUR/Ilk6R+BCZM2uGF3HWrHnyAHs2bMxahvc0wlHVcoCAUBUypI3xjVXXoZ3XrIMHz99Bt7YUIt6eQqcyJHXcdCkwdvakIRdMC3Zyk045ilporEeDR0v1Uu7A+f5BC9HO9Dy4A7c+chO3H2oFXvKpVumCZUe7LjpbzBpYwQlaXPyh64JhtGEugzOz+XwbYIrLuwubZUZJz6jQgBI3AeFe2g/Aohepb/LPDtNzlYjgiGS958DbFgUqnFWariH6/RvAYUwCCAE8O2mQKJSHK8CGBzr+SK6XtyP32vLY082d2oap+46GB0X/Z7TXgM3JxBsR6jNZvCG5gacU4zdAp6JYuQyETqPtePu7hh7C+jNw0iDEedFULVdH3YsVxG03BxiQYZNOVWaaTn1TZG8S2qXXqK7o4h2znGv5LEbn4o6w/gcGwsEAFEpO2+Mc5efjrdftAgfP2MW3jyjDg3SIUi72bXgWxKlBQqcVFSqmv/L82DJV1pIdZ44AOlrilvBNM6fb8Ntj+/Fj4604VA5QNCfCFR6d1HObOViljxOP3YBiNoafFtKmfLM2DCPxKJUyZATLPtLAOE4EN6rILvKy+PuZXZ7ug7v9cFzA4Co1FAP1xnYAjYLw3J19LsW8dfpoPiMDB5XrACAUOv60mRxvxMSE2Mszxcxh1gelJnOON2aXDaLHdMj7E2TOKVOWy5EUvIQGLnrwXgty81DJbJoKsRhrX6KTL7nXOSLaD/Yht2vHcC+ULhr4HE60iMCgBipBXX+xjh3xWm45oKF+PiqZgcgplnypHYh8gi4FE6frqhL6Bguli5Vs5AcQ0KhPrMZGbxG+gHyeP3Tjodu/2MdOMCqnA/txg9YlXMoAMCCAP7dF1Do9QP3GhGarPx33cji/NocvsMJVN4HW2QsHdpgf/U9dSBEFlUBMqXFOu+Ll/Am4HDCXf49c/E/tCYU06rUUA/XGdgCAhBW70FeNXF1OD5ZNdbWd2Ea53P78Htd3cYD0UcNCrtAWx5TWp+lXGuLRczuLmApAQNIdoyQKUbI5jJoyUTYRQ9FX6GQUpZFGZEqe85AFX/7Ahjp9FO2P61nIS+F7RuP6aZ4VgZRVxEnj5/E7s2H0BJKiQ88Xod7RAAQw7Vc6jxW4dwwB+85fwH+ZNlMvKEhl+RPm7LavSRr+ws3CHhQP9+W+bYxftXIkCdCwEIpoip5rWYWCuh8/Sh+8/BO3PHsfjza1onj6a4PtGMZzM6mP3N2daG7pg7n1+fw3ZJb1xT+4rlsv2u7/1uTLb87szkBUrKPaozwGJVId56NQqKLwWvRhsxx/4M1wQNRoaEeLjMIC/D3+I8+C0PAQePbkoatmBS/Jwfi+QP43VaGMHzaZGlBNUAinRllxNo47l0osS+PYiZCfXceS6PIhVkzcRaZuIhcLsLBbAY7eT4zOKx3QERJdb1PvkI/XoO02foCGOn0U7cJSfEnymWi9CKNRsjSJq2dOHKkHduDhsQgBu0wDgkAYhhGO+WUG+OadRdh7YWL8OFz5+JdTXU4PYqQ4YKvkIK8Atph03Wp3bSuZ7kPNqNAoMBKV/McLqTkD/B7xVEdWtcibCt5AjjehUOP78HdD+/ED3cdwavldi19mSO927HHdRcR16R2SfxMx+i7NIAQ74FtV/aFMk5seMIBhAywqrlHKyPNKRFgUtjCKn/SAxF0ICox0MM1BmsBVeNUES2Na8uDUH0Mq6jKLIzn9uF9rfRAcHHPIFIeZVrd1Ykt+d9dOgOKfKRycvUEBZ0FLIyB6aRl0QMRJXoTJ3M5bGd2lvRg7G9+MByocgs9wx39ZYOUS9kshTx9Nka63o4FM33VB+ExTA111yoif6wLew7vxd5AtBzsCB7ccQFADM5O/R615B/jOevn4IPrF+Kji5qwNpdJ9ONtjjffW14DF37+E0+C35+SmaC0L5+VwewMXceCjjTpUtcSwNA92rtReOUQNv1qJ77/7AE81NaFVi3uXPDL6d2XC1cIeFjVyv5qa/AeHlB05yJcUF+L78rDIKCgUEUaaClE0ViTcCD4XmmeKhxGr4MrxuUBm+0/j+H3v3Nm4oGwu8EKPPpwiWCBUyzAMUyv1//nlSjF80mDB3rK0rL1+Tw6n9yL93baEIaRirZqkyIoswFcSPVbTR9jP++KMRv8x9TLQgIgsjXoiiLsqi2iq9v3RiBCnbMejv6K5pVb7MWZcHNXJtlYqIhWuXCIPpOXQTVBeB6zQKygFfuqzBD7udJLS/NkjEx3Hh3HO7H3pYPYjY3RAAodYWAPxgIBQAzGSv0dc32c3fB2XLFhMT65shlXN9ZiptV+kLtdqZUCFvQ+qN6FuBACEFrwFaZQjriaYb0aCgXIO+EnE3eoAASBijgVR9qw56kW3PvIbtxFL0TBKlKW4S30l61Rcq2mtPDLmYtu0TiPfK4GF0yvw/fsMZKkJgiQUJSbZAyoEolStpJXhv1yRbd8tglt4wSpjNAEd4HXngG8+bTen4/00YfzgwX6GOssXocvPNVb00TA1vKhBP51HYYwnm3pARB9VcJ1C6TPQPBzSikDqld2g/ltFnOoKxYwh5kWbhefQS7OU6Uae5l5kd4QpInTLqRSkxAwB3ry2mSkF3KrCVEooFiO7yDAYcGGBRW24ifBQzmgwTamvSbuGnmgrYjjB7qwc/cncNipa4TXsC0w4EAY9pWr4cSNcf36hVizch7ee3Yz3r2wEWfncsiK4CfhJ1dx09d10MKu2KfTd5Dqot+R2HoPCkdoJ87zpWBpH5527gIo/F/FtRy72+/cCwV07zqJ5x7Yhtuf2INfHuvGscG6J80kV/rRlWVRpyYYTiac1GqA7jiD9U11uNWCJRXPcmRJL95LwEWbqY8EQ+JAWPIpj6GHQd4Im/Gi9vJ5rFsAvGd1D3+iGoZn6OP4WIC/t6f3AT/c0uN1FO9BIEIhN5X31m+VIYzn9+G9XcWeWhjqRUnMqYjYeh/8pqHkgUh7A3keOQ1xjNlxEbVOxDVClnUpEGF/JkbHKYutASe8vhWPS3sn+rJyWkvGbQpMZVH7Ps23cPc0wllS1Uxngth79yJw9qMrwXsVIhTb2nBwb1C0HNGPJACI4Zjv+ji78Eo0z81i7qJZuPjMZnxo+QxcOqMOM6PI/VhLud9c2Finwv/ISxkSui0fAL8nUJAbXvFSBwJU38GfQDe9BRBaTK00tK3kaXfiqmx5vBP7f70LP7z3dXx/13Hs6EsIxoOdU8ZIOb0ITWJ9gREBCORwQV0W/1u7MHlZeD4nU4V9uOgLQOizlbN6AIbcwV35JA1OdUQsd0LqnbzX9FrghvOT/9M6GcMZAuGcYIG+LMDf/J1bgCf2JuNVcuq2uq42CSI/6z0BBD0QFkCklV/7Kq1tjztFfr6ARuQwjbt754HIuJ/a4aiI1jQYKdevtNdB5/QXupQeRH/p3QNlYqgt5XgUDoAwfbOPbJDBZIHkI3Qfbcee1w5gbwhrDP03HQDEEG224G/jxln1mN9Yj6Y4g9qVM3DNufNww5xpWFHrq+YJLHChEtfB7oytt4APgB4Im03B8zWh2LipSgFrIlJsVYRLXouLpg2NqC3SR+C9ugtof/4gfvWTV3DrK4fxdEcnOtyPMdvjmowKPlZpPkubisekz7Hv08fTAyEAYb0Iaa+BvAlWbZIT8WkzexZ/9V21L0S01HXplXBKn55kyon6A+cmctgBQAxx0IfDB20BZf587Rlg14newme6iICtDV3qN8AQxjN78J7WbuzK+mJaaSGocmFFLdbud1xAlJKnr0EGjdzFO88D9yUZnEQRrX3VuUl3uJyHolx2iD1PIZFy2SADnpvyYvalQ5MOkZQARxkPhA2f2HYSaLR34ejODuw8/KnolOy0QT/8KjwwAIjBPvSNce60mZg3qxHN/CHWAjWzGnHm2c1416o5eGdTLWY6z4MXM7I7bC7ayjiwi5dNteQEYrkOAg6K9VvQUcrkMAukFlsbGpBUNr/jgsqXByqFHcex+bGd+MnjLbi35Sh2WABBYBDlEMd5RAQEAhMDmUrn9HUchaRqa3FBbQ638RibhZEeiCXip6c6MS1zxazeAEL3sYXE1E9+J2+NbMliXFSkDK9ggdGyAIHt8weA772YeB409pSOrcqcVrJVnCmO+e4COp9swbs78z0AwhKcteMXMblcXRpDWuZvLFsooiHKIkdgQQDBkAWAU2SfyylWlhZkryjbl90UYrDfu1BBGXVaN9cMcL20Z6M/af2yYdQyngnHw+rDY+EImBnkj7Ri/+ZDjmRpxL1Ha7RM/usGADGIZzj3f8VNC6ZjQSaHBv5gGT9ryGH2qtm4dvUc/M7C6Tgnk0GtrUEhcpSrbZHtidFbAJHeeYscmc4Nl8aBsjhK4MTLY/P6fKV34wQu2s1baegIiFu7ceS5/fj1r7bj9ucO4HHlfvM6wwEQBA8DmbKYR54AIpfFbZLyZftElpTNbOjCcTe8R4YAwLWPRcS8a5jfK35s1S0t2dKBCRY0i5JsjAsWhGyMgZ5V+H7oFuAY4xi89UXgtSPJGGUoTt4/1a7hldNZR/rN0wPx9L7hAYhyYCKOUed+LiRdJmmN+ZwBD32lZ/cVsihnFZE20yCiP8G5oQKIdN8Ganc5UCFPSF9hVqV+dhZw8uBB7NzxV9GRoY+C6jojAIj+nvfGuHb1DMyrrcOMLJ2A/lXoRnHWNJy2biE+uno2rq2vxQxmAkgxUbUdeLhAgXQLtCC6hTBV50ITjHbfNq1TZEqep0XTZmvYBdPKWadd+0qBLMbIbzuKF36+Hd95bDt+crKArtoy4Qp6IVxbywCELh/mGOxPpiaLfE0G6zMZ3KbS3Uq9LAcoVERLAOCMWcmd5JWRLVRXQ1wIqvtJD8K2jcBkSRPwkbUA00JDKGOwTy4cNxgL8Hf3wHbg59u8GJovbCc1ynTKtgiUHK988X1HHp0vHcbvdLRhVyaT1KHozzNgUzbLHUcPRFcGtc4TEaPgvQ+ndMd6LfhlWtfFZnykT1YYZChk7P4AymAl9dUOCwz642QM9AyVueGARAHF4504/EIBO0Ntjb4tFwBEWdvEUfPn0bQoi/nIota68Is1SfhifiMuunAh/vi0WbiUxEmXSuhrNlBGWROC20378IQlR/ofaanMtwiEDDFoAVTT0gJSDhR4DQk+QG3902mfdJOmAYQWYE5mLSew46FduPO+rbj9UCv2lfvxCVRYsDAYKetyZq3JIB/lsL4uh9sJAgi4OLmKAMk2mViw857Qi8I+8DsCCEtEs4WztNMTeLL8CXlsxBW5ZDFw3cqQkTHQhBq+H7wFOFaf3Q/c/WqifmrHnC1Pz3GqlGNeneNfv2+O2bZudL56CO/s7MKuggcQ5VqRXqz74xnki8g5PkURXX3xJ2wKJ+/nBKy8fosAgkBFf9kVtq1W5Cr9eVpLQpkiDjAxNdOklLv29JEVUu66/Cxtj3L2OoXX4VNjeX42Ued0FUtbjmP7rs/iSEj5PHUkBgCRtsnGOLd6BhbQ63AK0s4hzsWoq6vFvBWzcM2ZzXjf4hlYKbCgha5EAjRFchQPFalPu2i74BFEOGBAd7tfHW15b00+Uq7Tucr6EDmr1yJrnrAVWmIbibCf3odf/WI7btt6EM+1dqNUxS7tcZAnwv3AjTeCn+u9/bvcpFfsRr6+Buvr6/B9fc8+uR9syb/TU8tDHgL+z3ogTOO09UV0Dcv7UDVPVfqknbXT48QtV/FlS4C3rQggYvBLZDiyLwtw7L56OAldcCPB37Adu2kuhNs8ZJONhcamgD09EC/uxztPdGBnzpMo+7pvOdJzrwU15VFMk57T1+2VSukXbC3mdgG34nPpa1jPRTmgYcFAOpukL6Kkmx+8rLeba6Me/Yj0/Uvpnl4Jty+PRDnyqE1PtR4SJtEFb0T5URgAhLELuQ5zpmFurgYNlgdQWuwiFGfkMGPOdJx15hy8f8l0XNlYi1nWNaljRZbSxMCdBj/jQmg9CkpR1I7cqizq71I1zmKye7EghNdP8ypEThRIEWHLSmu7tNEiOl4/hpfu34bvP7EHPzvcimNpgLHVFJUAACAASURBVDDQsjFcAKEdmvqtEIxAlNJaBTBIonQZFL5B1vsgL4sttKV267qaxOXh4POgMiVBxIzawIkY6DmH70+1gEDvs/sSz8ORjqSIW1+hCvfb8vLy2hh00Qvni+Z5EbXOJ/eMDEBYArS7pwk19pclpR66hdQDCNXVsACiHNdC51oAITn7dDhEx9pF2pbpTnsnLICQpkyfPIZU9kZa/jut0lkORJWTDCeAae1G24k27Ax1NXqsFgAEbeF1HWbm0JzmAVgOQHc3ijMbMH9pEy47bx5umDkN/397bwJjWXqdh5373qv3aum1unt62D0czZCjESUu2mgYtszYju1QkAJKNjyJFUkRRcVMgiRMIkSRnARGBUiQxYhk0HBg00ZskoqAmLKoDSEdizQXbaTlsUUOOcMhZyGnp2d6q15re9sNzv/ud+u8U/92l1f1quoW0Oj33v3X8//3nO8/2/9kJ5n4RiAZlEHYWUZFqSEAk+By7CNhYsMzaYiU1kbFbrK8TLQQEJZISMVt8++4iMsGHhDKCeCiY8/zi6gmToXpnR26/tlX6Dc/+Rz9yusbdLWdXcQTIzDGbUp8AKKlfCRGLRr22vS9y136NSTWYaCAa7v5f1b/mntCRPItHjMzZhmFAadIcyJhR8qMMRsfEzhWZmYSQ7csHTiyVCL+/i3niP78txG9UeibGt+ImNU/vmWw9xgwfOEq0R++OgEBEhyYRGjZu2ycq4X2iykHx2gfgFgQfle50M18kmxAH+8imxuZj9n8lxBZlR90HH5MDDSkIJcmBhuosO0GH9AwNFBXf0vhLtvTKbuz99kqu3SOGq0Fkf4S0ulTJ8py5brhqJL7G3Tt+T+g1+ljSaY/Pb7vwrEHEI/8Yrp0sksPtRNa1i8lXkRsD44iOLtMT7x5ld79lnP0U8tdOotLrFizILNLMoOAcISJAYzHhGsxU+H7GxgQcDQFC8xMS8F3XjDDwe2bEI5GsGZ5DeSWlad5tAXP7/w20Ixp4QQOoDFMqf+FK/SpX3+ePvTibXqeRlQofIlBhOv1AYDgE9HOiNLOmEadBfre04v0cTlm1Ee4KULeQD9+ziCLE0lhPvmaZICBHShz0CSiNJix8zOt9QH44vVjDcRjZ4jefoHo0dO7N36C7seXPTQzxz7h95HfT35v72wTffUm0ZevE13f3L2DRaZRh7+NpKDUDMIRWiaZ4neTTRhfvkY/tDWiV4ywF0JWH26kX5L2VbI5RNtASGiFobGAVsLwSEvKe187KieFKapNCy4thSmb5bXAZ1t99K/BDTQVNh8RaRaxzUne+WPmLS4I3BjQg9tb9Oq1n0s2QjQ8ys+PMYBIk8d+iU4vLdGF9og6oSgDfiG3R9R/7CT9ycfP0Xu+Y5Xe023TsgyPRPQFQjfBfCDYQGwZtijBAwtQ48eQhWVCTc/tQeWJtNQ43ZiXCY6aIokUTuLYvAAf4kUzkj9NKX3uFn3xk9+gj/yb1+gP743oTlfYG72MIcsVARDBgEECCg0gOAqjTfR9Z5fo4wAC0LoAUEkNApJrGedU1kCcnrYdA3DxGBkISIdRMHMGEHzKMw6a2WRgo+Y++Td5ydmp3iRh1cMrk6yVGnjoUFpp65ZhufIzyuTgjbUuGeCReQI0rW3P5FjNvDM1lQ4J1nVRTwKvqb2Qjck31hhGaBuzTaOD8Yb6k+A7f48sY9Xt6LHqdtCWfkdt7fB7yb4NNzaJvnmP6NbWdJQPNGC8x+C8m+V0MODV5HDJBiQBMEA0zHb83URhXKcf3B7TK8PBJAoDwpZ5kCvyST+T3yWY0KBD+jbZ1lcCiJj1l2Xk6d8WdaGdsTudCZn07b7yZl/Bz7yyy5bhMiZCw5fSWzp3ZtqLwdUteu31D9DN4+pgeTwBRJYUammBThZ5KdKUBm+6QD/8nav0o4+doT/TblHP+DYINTpyPkxlkMT12lln0FrIbJPIIQEAIRkOHCvlPRFGKApnS2gyTLhodvcFtwlQwsI410aIVWcA8c179Ozvv0K/+QdX6beuP6CrnRa1tfqTNQg2WvU8GghZnuuPUxr02vR9Zxbp16FJ4TGa/A2ZdzrqIIskTnJswuAoDOnDYISACJWVkRcw3SAlNoACfE74dwMgBHOHFghMXzvCSdMS+sK6IZU4+gWok7lBTP0MyHAfeGbTKmFu/D+XlRob/ozIFYSwQhAaEJVF6EBook/GGlvZdYsScACccj+4IRLPp+5qQFp1sRNAI9j9QWcAOoAcDbTkXuYyMPdxfd7bMENhD3MZ7G34zcjU5xgn2pVAACAVZjOurwEsAAXq6VBoCdJ5L/I4MUfUkaAQpkIJUvHeS/8d0AsmtsGItp9+nd79oE9X2uPJwUZqInwRULJsTKSUT6BK0AFeEOM/Id/5ImGd2f41pNEOjra5hMCATaMRcwkY2tUOpWZcKjKEQQSPbWNM68/9a3qVPpTgMtMiYuVQlz12AOLSWrp85g10fjSipVaLxvrU7F3NIfW/8yL9+FvO01MPLdPb2i3qmBMzcjMkE1W7vL9CCnkwQZn/QZ7ObOAhZ5wZCIGgQM4DCB9u0/QtBNTOcMLkWBgz05NM0AimCaNOb23Ry1+6Tp/5xNfpl1+6Ry+sLFAWiGqEuxEX2p8BdPKZMCQtuf6wRcOVBfrelS79BsJPZRgqwjqZi8AZzYwxSyTFURhwikR0BQsbNvkg9FVl3DSCF8IXQsKccgRggUDOgVd2NTg0FagP7Yj0oJde9HK+MEEBjPAz6csCACPzX0ihKscswQMLPr7/AzZ1CG5uj+fOZVlbwzSEWUc64SLcmE1u3BY0aEh/ngOidFeQI7QYz0BH2Pbhs6KzK2rNg0yeBPCM/WyAXOazgjthJJ2lIAadUQd7OX+/LFwNzrj62ncAJZmEzbSj2sB6IokZlwFgAJjEuHCrLO8nAFjto2PbK7yHRyPa+qPX6QcZQDCQB3/y5WPR7+eIBVtEYjef9kELaOlTgbEXjQKx8VaXoNaJonyZKG3t2gCGz0ySz0mFi2Z7yuwGW2goI4bOiDht5eZrd+jVmz+f3D/UiKDg4I8RgEiTR36Rzp5ZMX4LLZdAdNGPBWV/RNt/4g30ge9Ypb92Zoku8+aXAk0yNikwmJGCASJZlDZj6BwR0v9BpmrmdgFQWHggCyUcEXFK43LyhIvQUh4vTkfM+NiR8u42XXt+nZ7+1efo77xwk55JOtT10QfMib27bSlsbTTkOkMO4+zRdy926FdTokUp0CEIkYwLmSalgOFMlBDykoHLUFiZV0KPAwxfh79C8PA6QQgbnxYlAFgwsEDAGgJQyPYACOTJHMLJJUSQrwNaBbN24pQPLQs0JDxGqL1lplGMzfiOZGnVpYYGJ3GYdFBXaxls+Tmk6SbfWxmBkeQsA6S5SQiAQs4bp3btBGs0JyKUFyfyXCgLdCIBFT9nekhTlHYclvSEFkI6NuJ9gLbL7EuLZgt7FKAU+xfmNxwWJPgzGpQMxDLQ1VpArAkA4Til21+6Su+5N6KrbEqU6eGZB7neSx1aHSsHXAcADS5CgMIGWELmEfMOO+7f0ZEj2pchpN0oa8Ioq7lod6jFDpa3R3Tt5f+Mrh0Xk8bxABBPpe3Hf4DOLy5OcjsUBQ9GiLUpGfRp612P0f/w5Cr9eG+BTkinKHmSAQPhkxsLGzhfcXkpbLgOCyqYF0z2ROEMCLCg1b3wDYD2QapmpVkEpygwJ2hHwCgxzq0+3XvtAT3/f/0x/U//5gb9y2WinmZANgaBuPIYRsH1B2MaLbbou5a69I9HY3qok10+Bl8GMGjpjAomzYz3kZMTzQT/ASggi59OJCVBWy78lGAAOIHAgTkFkS4QFFJVLcNBseZI4MXP5NXiRihm6YyRMEierqVmA5oTmFTkmLXznfbqhzZGaiWk5kX6XhjaCfMN9gv6N9EviA4SCdHkWHOhnmlq+DtMMgY4Z3kQjGYnS7cufR6kKp+7wgmeBSy0Dhin3IfabyLXAGR+Bgj9RR0GAWgP0TfQckDoy7BpgFJoG6SvjJlXZhpEOZgpeT48B34vAXyYhgAPAPLy0jysrwRdrIDZGdI3n3mdfnI4pmtGRa5yrriAQWw5XT8WQOh6PudOlI3hC7b5+O7f0WaUUDinLXGWWT8R7hkyh9jGqJNqmTYzh9d7m7T+4u/Rq8chSuPoA4i1tPvEKj200KUlCRxk8qPYl3I4ps0/+yb6X7/zPP244J1GIyBP0HCqgj8EQIE8YXKfCE9kxqPBg/SBkKcx/l1qGbgdnHrhN4D5yEgOaRaQJy3zeUT9W9t05f/8V/QLT1+h311a3AsgJI305Vou26guxwCi06E3r/Tof2sTvbXTphNgvgAK0OhI4QPtyqWTu46NUL3LLH6gKa8HfAOkLwr60OuNPvEcp0L+DkYv7fK8jjhVagHJglhfiqYFJgAH1NsOBmV+BriCsASYlP4eGD+ABdcDCJNzgv8HgA5AAQQvtAAyCmYzS9GO/S3bxpigHMg1A8J8gvXRpgLXnKG5kRoULitNCHhm9kjmz5D7nGQAXI5FAkT5bvBngG8ZNg1tBj/nfYQQbGgPoCmRY5QhnKZedh29BAjIAYM9L+nHbQ5HdOdun/718zfpvx0M6BYLd/Yxghkx1t/Ixc/2gIAsJFQ6Qef08aS194EJ+cwXCWIFDp4QVZTfoxlx+GD5oi8yPmGVfQAWOheEa84ujUV/RBvHIQ32kQYQF9bSE+fP0znKVPISpcuXUm9KlNOOg4OUNt/9OP2d77lIfxWqbjBoGfIHuz1CJXESlSmbwYglOIBTGEJAwXRzpy9xdwa0DzhpGv8JFYXBjAqnH2ai/JxBjcwVwfXZtnd3h27+7S/Sf/n0Ffr0YmdiXqj6tzPcdbzsdSjpJ6zIoYeXu/SfLrbpL3Xa9Ig83UOtLVNzQ5PAY+HICI6SgBbCCFjpYCjUzlLNDGdJ6YMArZBUfXN70GhIPwMIaJxWYdqQJ2CorwHmIHzkOKAqz+eZaZykOl9HZ3A7UlDJU7Hcc9AawByCfYlTM9rAmsrTunTq4+cy8kQCNa3ih9kNgAvfETrLNAE9zVqJW2E1mIY/A+glATX/JkENnsGMw8BZaosM4BCaPD0/DfhBK9SR+x59yfaYPvw7QKV+X9F/DuyyscgQa9BIapw2+/TCjU36Z1c26O/RmO4zX5JmC5+/kQYXkneFgIcrX4R+/9n0y7/5stRO0U6EoNp4iS/nji3aBH4YMdoWHGpcNwm7Dj35NeMqIZWZtyV81aW96KTUGoyof6VPr935r5M7VXnpvNY/ogBi4u+wskCnF7rUCkUU6LBF5C2Qi8bai/6INn/wSfp777hIP9rnW/bUhVgAA4bpZHkeckae3ciJEyvalmpZnBD1qRYnKH57c7V5dm8EvpsNnmknDLjIToE4PeVtJETLWbY8aePfGdLG3/pD+o//6AX6590lWqpjw2oAwd/bC7SyvEB/cWmB3ttK6PuM/Trbhfw/zDkAPkY9n9GTwyovLBOdWNhNfY0TIgsv2Jg1bSFcoU2Qp3h9moXKGyYRGXYnaQKhZoRFduLHKT1XbWcCUwomaQLhuhJUopwEKNwWQBJMK7bcFvI0q0ElQJgcc35fS6ZK0yaTqb0vHBwBKDB2eXGZFJjQZsCXBSADmgRtypPhn/AZkYJYauSwZjLCyAA2kRZd+h7IdwQ0NHTNVCcyckaulY7kMe9yRhjpMIrfzbqJ/C4a4GGfSI2XpPOtLfr86/fpI3c26XPUpr4PQECbClCxHwCiqLkjZBqoA0BoPqUjRgAgfKDHBiZifSx8932wdmLIiad26MZL/xVdP4p+EUcPQDyVtp94F60mHTqpX7JcsKiQRP1i2HwkjA2fjAbi77/jIfpR9maHwGbGARsroiCkah4OefKkCWAB7QK+y5MZhA1sq0ZbkKltc61Exty5vg7Z5N+g1QCD5vbZFgvmBhUuR2P8z79L7/30FfrE8ngvgGANgg1USJDAz2U5G4Dg52mLHjvRpZ8ZEf2VlC/GzLQjRihljmYM0OBQCYbLz072JiACKnqtRtbgQdIXkQrSNwWnaqi89Yldh9yxEECoI9ZMCgoIKwgoKXChzoYjKI99KtrEkkGT24O2ywY+YeLAvHOHviwaB33Bx4HbkFoXCHS9tlwP+xqCWfor8Lik+UCaMYxpIVtTOH5qR02AAwhsCb6l1kb6KMCJFaANJgzpRMvPAFqQA0TuCenfInO4SC2TAeMqs6n0d5A+OtJ8lPs1SAfYLEwYQBBgQ2tv+mO6d/0+/fJrD+iXt8d0jTPCyrsrIBjBq5AxFloBybO4jMwoCyBiAxmI8sAzl2aWtYc2TQb377snR+4r24VdNp5i6C+SNsl6IVCC9nxJt7iMLUx1aqyZaSSkwQgBDW6TzSKbA7rzjXV6ndaSoWvOh/H3owUg3p8ufNt30vlubyIANRCw2frMZo1wVPIBCDARME5mMMxQDfMTAlsnUkByJ3jNS8YFezYzez7lwU9C5n9Av1qLgZA8edKBqpSZrWHW2W5F/gIWZH/zs/S+3/kW/TYDiGRhOu9DOnBnnCyy8bndbpsW2y16V4vovQst+oFuh1pMC5fQhTACfR/KkjwhUkULRG3/h6CX0QU68kGq+NGuVs3ju9Tw8G+s+YBQg+Me/y61KxCYWAeXXwzGwcIPQAcAAgBUrrfUTmjBihOvTeUPWoA2WEPtwMq/Sw2OLYpCnrp5bAClMIUA5BhtUpZt1bSbvRAoz0AbdEK/MlxZmimkRgJzgIZFAgqpYeJyMlICIN+sSSbosS+k1gL7C+WlpgtzQriujICRc9EHAwAus9fGNLizQ5+9tkH/6N4mfZHzpXBdAHADujOBhnTV2oEZGRiNwGpToqMYACLku8r8EVEe+hClwcKgn2fWz5vgOqy9tSWPM3NX/gkaaPicLGX0iY1Hu3wUfL5ttkgSbltnHDY0zPwxuD2XOUWW01oMTX/OetknevDcNbpKaxz1eTT+jg6A+C/S3pOP0/l0kXpA1TMBEI/Rh95xkX4EGggwGpkcSoeRwe8AjJa3DhwsobKXDBXMEUyJhTuXg1oWTBDMC1sRpyYNILTgAcPF2Jnp8WVVf/Oz9DO/83X6zcUOLWsAYdvuGlTIOj7AweVaROd6HfqRE11630Kb3thKKIEWB4LXnL6Hk5OwsTtnZho2ZZxbmkSwSNW7mVc2UAhonW+AH2s1vDw5yhMxHBVxaofjJKJgZBIn6awJQKGzEEq1N8bJgBCneRmmyeNgTRGPH/kTILi034dhsJkQlCGF0lyAeZt2s72EcE6sLc+X+8A4ILz1aVw6NEpNG6IopH+QTWhDc4Bxy9wd0gdEO9hCCCOSRZo95D6QTpCGyWf+CpLO0DzJNZZ0wLshgYXUIAEowa8FWhqTxEskeNMhnqiHPcjbemtAL7y2Sf9w/T59YrNPd6DFkwDCBQzyd19dmGUDEBDEPkEuTSI20CD5gMt84hKN3K/0o9A5LvK5ZAc6jFPfz8P9jsf5qz65/jtLuOUCEPy7rJPxYCP/NICQd4mYg+NgAp5cAAT3i8RoK7Z3aPNrA3qdfjbZOgoQ4kgACL7Potej862EFsqEaNo0EPybJYpg8y88QX//ey7SXwbT402Q266FOQFCWjvu8e/MZJDcB4wP/2NTGU1BxojyeH3ljCU1DIZRZ5oFI/CUd7pMCw0mDUdMhJf+j5+jn/7MC/TbSxYfCNvLwagbQAHgAeUkIucyGpBwOY7IONmjpxZa9MMjom9jOWjGnRHBlvoSY+X7K04vTuYswwBBPwhmaHmMAGW/lXRyYRfTFzSR/gNyPSH8pHMgTvVSMMHUhLHgRAtAI8EFhD+Pi8tvDCbjAljgOrKMdCZEdAfPDaYpgCv0jbnIfWRCM7McFmZ+2UOpuZGAS4INbTZB+CyXQeZK7DWY6uCgyvMC7aRWR9NVJmLSphaMF+Y5OWYAGwBrqTUA7VEfJioAN4xfOkfKsGdZToITgAgjjKG5yLQu8r2CKUxqiKQZxIxrRKP+iF68sUW/ees+ffz+mL7lA94MLLRZEOvMv7vMjDrXQtGMkmavDymJcZ50aSPMfLOokpi24DwKfzRoRLQmRZtuQA/t96YTBsaGmDJo4ISDoIEU+jLFuJ6Tq32m/WhIw1s36eqNteTBYQcRhx5A8BXcp3p0ttvbRaRFF8V23S3/pu37my3aes8T9He/+yF6SgII7k97dsM0oB3rjFo6E/AQVtIZM7fFZ+WgLgdTZyYptRbypCSzOwJEgBYwEUhVvfQ92Nihwf/xBXrf771On1hSPhAtEU0haTvO/CJ8cdvmxVMqVbTBJ4Julx5f6NB7OkQ/kiT0bUmLOjKbJwQqNqqcL/tDrLBDpbqhFHTl/wEg4NjKDJ21GuZZdueIjKDA2GQ+DgANCDp5SoaAx0k1n5sAlgCAvCbIgMkCCk53PB6uL9dat6NV7LlTYpZrQtLFZsLRKZVtTonw5YApwOYoKAEUvwPSKVRHVmjHTingpeDGPuQxbg52s2nivZI05rWQibn4O49D5tEw4GFy26z5k6BKgiezT4TvkKSbrMfrAuAA0GScRNu7jrsAcDpkF++zGVO2qMa8OaLBgwE9e3ObfvvOJn1iZ0xX+jt7zQRFeZksbwMUPqDh6sscFBSAiPV70G267s2ZGrfoj30ypPBnIGEDIGa9RBioNldrk4jL783mKOrypTOaB0ekiS+ElfN7MIjYvE83vvU3kttV1vig6x5iAJFdhrVAp20n3FjCapAg6+lT89YWbb37Sfrf3/4Q/US7RQuyLISeVC/nwihLMgPnRYAK2HQNsxOOmGCAyHgovcTNiU6sGkLIIGjBsGDGkGOUGgvp/d8f0ejWJq3/3X9F//nTN+hTrZR6S5nPwxabG4aUAizI9rgMP0fZWJqjHNN3kx0vU3p0qUd/rt2id7cS+v5eZ3JHiQREED6YHwTQ0gLRyS7RmcXs9tMsAyNOv9D0oDwEA0LwmJ5wUpWnSy7HZfgP6wX/BnlilhoCrJu0mcuTr3RYlOYNOGZK8KidRKUAguAz0RiZCQS+LagnBRnKyzblaVg6I0K1j/5sic2wfugDZSGcAaaxv0Ej+IvAoRBqf+xVfg6Vv46oAfAFGINZB+YlCQxk3gdpbtH7U+4prbnBGG1aGmnmkkDMmNyydOK4UVeCEvQxGNGdezv0BQMedugL26zSnsGf1Ga4TJKyjHaAhsYDPhi2g5Z5T0eUyrDJKe2jBXhAuzt1nbYwW7gu5JPOoBpY8DhC4aqaxFJL4XIe9fnH8TidmgZPCCvABdPt5ibduvrf0K3DGqFxSAFEmjz6v9CZlZOTzJL8cmjVnw8YxL6rNgDxbz9B/91bztFPnOjRBTD8/AScNcxMSzI6OMSxn4EW6FD/Qvjg9MffYcaQ2fTM79mqGefC7O4NmZyGwYzxu1CrawMQ/NvmgDav3KcX/9Ef03//pVfp99s96pq7zYmIBbwLQGAuEmzE0hbluO2kS+kC0dneAr2zk9Cf6ST09nFKl9ttOmeSdbYmhzdoanQfABEmkRbfA8GJpDL1OfwRQAsIDai9DUAQdJLOcDYbPPqW9ncADTNGaASEqSB3/uPU4Zn2CUJI+jXI5FCuZEX6NC1P8hIgyPTJABBTey9TwUsVOzQiMrmSvsgL4ABOmFLzIoW4zEYpNRHSRwUOlRKg2egLWsucFPBr4PISbCCaw2ZGwXvKdeAYamhjuRIev2N+mg5Sm5ADP+GvIqNdhiNiD4UHWyO62R/Ra5sD+vLtTfrsgxE9TVv0gP0CbAC9jKlBrnFdAMIIZ0cUFvqz5V3Qv7m+h3iG1Djo0FZdV2sepJ+GzI0RugMpBEY0cPA5jMoxal8N1sLeHdL66+t0i9YSrfQLkebAnx8+ALGWti6doFXt6Odz6CtLZYvdf+etF+l933Gefmy1R29rt6kNLcEUEMjU43CY4pBE/oMZATZy+Ecg54GxN2ecCYyLmSccs6A+hV0advOpU2N2opahgrDVSjpAXc1t3dqga1+9RX/0sefol55dpy8tsC+Jw2xhoyWYX5E6uh0GEemYlnotOt/t0DspoT+3kNCbu216Q5LQ6cGYFhYSaiFHQsbUqJVpbtKUkm6LkpOLlCx1KMGJnMvZnOr4d1fYnRSSOGXDu15qJWDXl3ORAl1qS/SlSmY/iIvXckacOfxBKGpziTzlAxDaQAVAEYSvNLlBuKFPaZaQYaB4LoENsilye2xuwDz4f9CI9ylMR0ibDS0DJ+iS2h+uh/0cMg1JcwN8DPQ+YprifUKOEDM2TqImUmXDpKWjNMx+ybii1B4hVXf2LqU0pvE42Y1U4vFkCa3SjX52V0mHRuMxbffHdGt7SN/cHNAz9/v09GafvjLcopsbHerbtHfSNGj2KS60E5rAUKIkrlcUgMRGWknNhI0fSOdPWyg36oRASf5OBKI55Bi074NNQxCThVgCAh3ianiPZ0z83JUzw+ajx2W3RnT/5Rt0/bCBiMMFINbS1uXzdLY3pBXWDrhUajGAQTr7ubxntUActGj4+Cr9O29epb/6yEl69+kl6klhA2ZomMwEtRtmxACC/8H8AJCA8ESz4ZDPP3OeBONHGdNOllYXTNs4rWWJhsDAJQiRgkX2rZ3Nrt6jF75wlT75yRfooy8/oBd7I+qwQHfRMe27QzplPV85tK374TqdDr1pmNBDrdQoBxZMrqOEEhpP99vK1IRjETPeYqGcUhLjEWMDAMG9Y3MM0JV0uIUt/ELXSTN6T+a5azC3tQ3BxWW5Hv8v0YCROnt/H2X1jOuHrCP7kGqElE31GT351J5Q2k4oMXTLnpl9x88mAGIyDj3+7HtObxcNbfWMRBcD1E4M2WPr0Y1/BIWydkxTYpwAAa2UEvnZTCOjFz/j72aO+B3rlQ3NKJY6dKed0HVcR82XK3H2+7JwQwAAIABJREFUwlZKo/GIhgOindaYttMB9dn059prABUMJOA/xLwI5kL8bqYiwMWereLQGrhu0YwFHCGgAc1tqFzwXcsKaKDhuwU0Zg42R+89r6Pwp+BkhPxcRqWEwl5tGgoZNpvzP2G62SB68PJn6MZhukPj8ACIp9L25T9LZxYTgnY9f3l4MfCixWwg+eL5HAA1gOj3aPTwEr3tkVP0Q289Tz+5ukzncRsmMk9K50WcwuDwZpitYIYyagIbCmYLCSCkEx9CHHGiku0BzGiAYObLkjjz/De8VJyyvrFOT/+zF+nD//IV+p179+nmsEPtgwAQ7U0aDxdpZZTSo+nIYKNduSDSyBpaIdVsm9I86YwAErPM1sLpCtD+QstcEpbw/y6GyM+5TtIyWpb8nePvqMPttceUDFtskdudN9flMrL9YSa8Ur5sKaEx/6/7xu+2ely2kwlRPXb53fSTTMbOf/wd9TAG2S+eyd98tMEzzDFWoBQpl48dlaRtWuwXTgiUX9fssF+3+XdLimPTNAOFEb0yWqC76TYl4+5k3VZ2Jv+PFyhJ+V8Gvm0mCwxRAoh82ApAaBpIgIFnrj6qAgi0bwMIsaHcRdbQlZyO2/CBiz3vhEog6JMVPofMnL5CC+Ezefi0ItLHgk1Zm1v04Jt36cZhSTh1OADEWtp5eJXOniDqhdTk8qXRZW2qdttL5uqDAcQy0cOXT9E73/4w/dQjJ+lPLi3QglTxSsEswYAEFtKhD+VhUpBhbzBfQDpIdbr0uoeJAgACDpmwZQMwwIQiv+8MafMLr9Enf+Nr9A9euU9f3dqiHWZ08uVLBpTK3/CdmaHWOOA7GCV/5/LcnmSgaB/luQw7VY0TemSc0kkWoj4QkGenE8BCZq8rwqAqlWUhxIJFCKM97UEg+cowfTrZXQNDAZx8ddGvTeDFjMtsBDX20FyKEsvXnm/8RftxlHdlP9R7JSrb4cjhdc8AsUXbSYdeZBBsAwwakI/G1AKfYR4kP0sgsZPQeJE1EcJhmYX0dmZilM/gqySdmyXP0w7P8B2DNqTHWSUdl1O1d2gseaUM4ebx6jBu876LbI62dkMaChsYiU1w54pAsYEOvXW0EyiSdGmnT1tyLtO+uABNf2ctBDQa/EzfWcJt7oxo+7BkrZx/ALGWdi6doDPs2BfiKdqeqNWE0tnP9lm3r+u3WzRebNHiUpfe8MRZ+uG3n6enzi3Tk2xrZULCGQwC2rxY2ckfmgo41Mky/FmGgZrvWfIk2Ieh3ZXAwTCqLP2xNIdgHhJA4Dns/hnoGF+5T89+6kX6vz/9Cv3W3ft0SzM6CH9JmxYL+wxk2MAGwIKZ/4BSLi+Zqm0dmbbbIzqTjOkNoXU2z0eU8Ck7qqyrEISs7XnoWUTHWuNg6JFpHaQmIm9KgAVvOdV3kbK2YUtNCI9LtsefoW3gbHoR0y5exKEVAL0MrTRI0mBMAi1RNgcGNvCm+7XVU7OR2h7sP+6jPaLrC226icB+1jxA64D3QDY1JYzY/0eYBaXQN75BfUr0wUgDdR8I4X5t0VQAHAAvDCBk37JPBjKSv0ozipyXNivzd/QTqx225ZZx5bJwReChjSLaCzkPmx+HTBWgM4Ea/ibAl85Pge+uzJ9cX+a6GOzQ1vPP0XX6UJJ5GhV/rfajxnwDiEzzwE59scSQm9wGIPRvNuSPvqQmAi8yI/7BiDoPnaIn3/Ew/dhjJ+mHFjp0cWGSfz4HEToWH6aG3DFLJZ2SMfgmrC5z+II3vskTIDz44bSJ2x+5PG4lNOGI4nIt9Il7FzKTSrq+Ta998VX67U+9RL/y6k36Bvt4aDpD+G/0dtXtUMvyb0siIxzKxq4VQAX/z2GxgxG9ccxr7TEH5G3zXSQx5YoMpkJZm0ofzbnU/lLl76rPZfSzPfVAB+UjYujIp2Nug8FW9llOk39n1X2e038irCemFfk5+67nYpuD/s333UbyqfmKOeiyspzNfMLlJSAqsryuetoExd/bHRqMEvpWd5uGeE/4HeHP0oSh+wf4Zq3FaDnTPmWaOAM6LNo7/KaBe4y/kVlC4RehAYTtmRyzL1zbZS6RPNRntpH91Okg6otE8WlA8uRRIlmeXj8JTpArw6ybuBrB7MESSbg4RbjRRDxD1+YZRMwvgCigeXBt8lkACH4J+LS8kNDyG0/T93/7GfrLbzhBf+nUIp1HkiiMR2sNYJ4AuJhK/tOaaBPY2ZL/N17d4m4AeHkzUAAgkGGaUgOhAQTABtpg6bC+RbefuU6/+9kr9E+euU6fW9+hLYABqWEIAQictHjOZQEE19tZpItJajQQTl+CWAEgbfU2oaOFjU/4B/usCcToy4OC/WYFvPRyndJ3N6ih9bBNaYdt+4Hrl6eYfGRZOBTGzgflrPSQACmjO8qZhD4aQAlfDx/44GcuABIaNzv4tlK6sdOmmwANXCcGQKBtvG8MCmzmQiOEMv+JGACBw45t7D4AIQGGLXTbp+F1+W246OcDEz4AUUSbEetkbwMSMQCC5ybTjusU5Ji7vMtkD4gUzpoyOgT3jBhNxD26Nq8+EfMJIITmIZSDIH8JM5tgDMoN+VHYNr1WGXKZ5QXqXjhF3//kOfr3Lp2gP31+mS6v8Pk5izM3GefS3egLpLCW7UufB46y4Ds2zMbkaAJOQZwp6VFXgg+kojYvfiZ2pRYk12Rkimfui00p97bp9peu0x/84RX6f798gz5/9w69Lk9L8jO3LbUPmjY4YYUYret50qN01KLl8Ygu66txbVnepGCB0xtOz7kTHPtFZM5uU85xPAjxLB+TdtAsMJmiAtIl8MveVLhHMErQoMGNQ0ORayqkI+HEJLeHP2iaS/2qTU1o07/KcnreLtLrvWDzYbDW9Tg95uVHxodh14nS0pCNFuz82UpomLbo1bRP23CclNVj3w+YBH1bDwADgGKKjwg/JYAQaX6ExsKlqbDxtxheqsfr0wDLsjHaDMmn5WGQ62p/DLQtQUOs9sNmWpGRGiFnUd23bs+VrMusozB7yLEbfzD4kGzTzryCiPkDEFmo5kqfFl1ZEG0AwIe69Sb3RRjIstpJUD9j55pum5YfOkXvePw0/buPn6G/eGGZ3tjtUNskMxrvXrHNgtuWFRHpcBkncEpjjrKANgG5HOAHgVTH0GwgZBP5APh/AAiTSS9LXMSxkHAW2B7Q3Rdv09Of+RZ9/Cuv0+evb9C1nfZe00WsDNUM0mbqsLWFcqz1SFN6w7hDK4l0HgwMgE/Ne9bVor2IEVA58AgITfRnEzYx1/pyfdlXLI11OV/Ehyzrm5cGAmXHUqWeLcIE7dUVmRG7LrZ9IkGL0dDovxYloxbdH6a7mSRb/d19KQFF7HsigYTUBIbobNMayjrSZ0k6NbtAiAYa0sfCN5Yi5Vzt2DQd2tSs/TH2LE2JPDa28bj8Nlyh/6E2bL4ZqCNzZrC/BaI3GEgM+7Tx0u/RzXkL8ZwvALGWth7t0en0xOQ6bv6zaSBmASDkS2WLMtCqRYyPf2f7/fkVevvjZ+nPXzpJf+KhFXrL2UV6mMtw5IRMl5wJEVNdAwUkwDHzFgmkGEggosM4YWax78i6JzNMspkCWShZ+2HqZrkiXntAr7x4m77wzDX6F196nX7/5ia9tpVdFBNiUK7nMYxRazS4Lf6NmW2nTacSooscLw8BK5m+tM/Lz3yytYVvhubhC6VEXdi5XT4WttBEWx3tKBnrszHlk5ANyiXwp0CCmrw3lBUAzHVCtxBShq/66BxbLnsHch5kA1dSu+QDA7GAyOq8qkNsbZEp2YT1GJIWvbazTRsMFiR44OL7DSC8gl1FVuV7PTObyLrSXILfZdSITVsReu9sz10aDh+AMHTtUOIyp7AjKORG7JhizCncVhHQMEVPoWUoCiBg1uC+b49pc94yVs4RgJikp146QUsIUcqFtEhq5NMKxG4YbgOhOagjIwXkZ/ncpWZs9SjtDKmz1KOHLqzQ2x89Rf/W5ZP0p0526UKvTcudDi332tSSd2BAWyBzNkzl8M9SIuOeBrOBE3F5UZbJULbJAASmDvhH9Ie02R/Rg/VtuvbH1+izT1+n/++VO/TV7R26B49xH+PjftnnQ8a2SzrrujFrAGbb61CbU1YP29SF9sEm4KVwtuZRKOA3wUAl96Tna4CFJiPlyI7su/6s5yXLyWe6Pf2M2zVryeMQ/en2US5/BzxmloFn/gsWM4Qsz8/5O8rpz3pcspx8JvuxtWcbo29suh9Z1rY2tvWQa5ELTAGYsAZYD/7f0F2HzloARRYZsj0e0tVkca82jN8XSR+beUM+l47JmuY2Mwh4kfQ70qbGGPOJ1nigbxuvgxlER2bpiBIfD5Dh3S5zik+gS02Evq9nit6B1NvyYKrNLlq74TN5u1ID2MwnCH21Xb1g9qBILsZOlHI+uATt7jZtzNPdGXMCINJk9YN08uSIVmzmBZstL2esWYigefkt+Qtsm1naEvl5Eec/F4hgIcsC+USPTp3r0KMXlumJ1WX69gtL9JZTPXriTI/euNKjRb5xu8O3UyaTXE7S/ABnR5NeVwAIqWHAfJAUChoGLmPyRKST1P58w/D9Hbr52gP62st36Y9fvkvPvXqHnn31Pr20PaRNzsGe0zBjgJrp5eCJAUSXEttzzTxlGTzj32Q5fE/6dJaIVr0nc58jYPbMJihigEyoDISeFnRSQOo2bM98Aj40Bt9zaGB8YZy2Zz6QtgcoKT8K1wk+NA/t32LKszPEgMh1o+EewS468QEZvW74LgFDkTW18pCRMV9cb40pv5KZ3xEXHVzvVi6ws7raBMLfdVIq2YfPP8k1lhhg4VtPDV4QQWLjybodzaPlcwkoXCZpqf2A8Gbeu6cfT7Zcs69U6GwM+LBpPWw+H8jDgTZtmUVd9NVOotr/gh0yN+7TvW/9DbozDxdwzQWA4Cu5T5ygFVvOAQh45+lfAAhdpggwsC2o7eV0vXyy7GKb2nwb97lFuni2R0+e7tGbV3r06KkenTvZpbMnunRmqU2nOx062UloebFNvcUuteGzAMAg01jz+GRoKO7gYNAwGNLOKKWNnSHdu9un9fs7tH5vh27e3qYrr2/Q1166Tc/c7tPVnXu0vb1kMvJO/SWZ3VYyQPy258X0MElfu7I97odv/ByldLETyC2gha8+6drWTZ8s5WneG7WQCbScETpyNtjyO8g6ZU0XISG853mE5sV1Mp+iSaYNCdGy8PhkhVBCrEqN71bWeSyMsLBEytjWKP8t8/LU2iLTVkarTov6owG93hnsvk/j3l4A4QMVtin7gIbUYtg0f67nWvsRq+1wgROfRqTKMtqS1e3hKYLfW+nnMNVwWan9cI3TphWJDVG1JQbjflAfzp8+jQacRTXo2MOH79O9F38huVuF3nXUPXAAcWktXe5eoFM+8GAWwbExNEhwqeTKEKsMuud++OXmEzc7gvZWaHVxgVYX23RmuUOnV7q0erJH5xfbdLbbotNLXTrJZo6lDp25eILemV8slOVxyC/eahPd3qKXtwZ0M2kRX/nAF0mNhmPa3hzQA3aO3BrS7Qd9urm+Q9fvbtOtjQHdWt+k61s7dH1jQNvmJbIAgFkACA0Y9PeFlC6Mx7TCAIGZ8kKmWh6Izzxe/o614zL97AtnFZPPou2ToYyREUK5zF6qs06sxqWs5sNnPvDNI9ZMUZUWNtOPNvlU6sNi9tFZFTsjutsiWh8LU0UDICpRfUqD7PM58/USo+EomqY/BkCEZq7bcEWhaACBdkc9oTHOknPdvkd3b6wluQYsNIZZPD9YALGWLj5+hk7ridnsejJHgSxfxu5nc+rTY4CTX1WiQ3UPAdra2RWInYTGzHTutWl8oUNv+Im307OJ45Kj0z2iX/sa/cy/+AZ9ZHV19z6Q8YhayQ6lbAvgv/UeJWcYcDkYGwCES8NQZL4+MCLnyXPE99YipYM2negSnevDHu3I+mjuKRkQG1v27FMd/iSzUvoEjBa+MYLHZ0uX2g6mne97rOC3+T/I0zCnzc7B08jcwyEv0zKAyzxnHwt5n4hYXF9WwIVMKzRIaIyMewB4zv3BvhSifF4PGqZIYCZBoekr2yO5r8YkNLqV0xLtRualsGkV9LpZ11vMo53QcGdEN1ZGtMN7W75rmj6jk1mCKBGdgTLyXcTnKhoItAsfI2lCdPlg+PyfXM9kvgv0KbUSvpBUm39ZEZ5jkxWyP+mn4Uq2FQIQOj2/77qDIhF9cuxSK4HfYy5Y0/PfJFq/8rPJVhUaVql7cABiLe0+vEqnGRhwJEDINBB6btvIZTUI3FYZ50CMgV9czQhsjlYo375P4xMn6dKPfTd92QUgzi4S/dOv0vs//SJ99PJ5WpGLzvWZkTETYmAQY4qosmli6roABDPUzoAeGo6pGxKoodA6VxSGFuIQEPx/mdOrrb18rYXTpY0uWiD6bgKMuSXQzEVdCuRcj0ihvad+JozzVM3sRS4S3pjyNtAnfFJyEOQT7L504Z5NFpsSmZtgTRW0Vvw9CIRc/QqatFq0kQzpti4qgQQDZf5u00rYuogxdcT4IJk9nh0etN+R5E+ynByPq86U8LNoMcv4VcTkvtC08pmldXsubYRL221oYtF028wascAB49dtoD5Ht6CML+eRdsrk7xxxwvczvTyi2/SBZCeGL9dd5mAARHazZndIHd4QPo2ATA1rm7xPA+EDEFUAQmgR9hNAMGBgYR0LICDYYxlbaK5Ofis0LVIDMVyik63xrtbJFc0Q028IgLjaiBbAMYMIlOmrtLY1NDktETOth2F+KiSzLH2mtB2Wdp10tUSK+DQ8PmCm+5gqG7wVZ7d2d7hr9gKgsApw1nYFgJnRiCU03tmhm0udKVximpwFgNCmv1wgWUCCNEVqx2XrnFWkCJeJARBmrgpEzAuA8N274wMOOV0LOOIXeZddAMKWb8PWrs1vAuGsfAXBS3fo1kFkqzwAAJEmj/0SnW4PqVtFQxCzeD6Q4NMIuNq2RRjIF1qaK/SJwmcyYFPG8gJdDmkgfv1Z+uv//DZ99JHhrgZCAwKAiRzVCkGe/5adjmJoiDIScEjtQpE2+ivU6Y3ovLyQCAKWGX2RtrhsWeEcEhRFx+Erv5991TJuBjwl1qKWvmfQSKy2woCDCACR7tDWTodur2agnYfsAuU+04aeqgvQa01ezm8yAS75ih6HSxMZo+0ILYUrrDtUTz4PgY6YUFXdnk5kV9QnLtYRv4j2JMY5NF9XT/SINq3kvLlDyTihnVdv0m1aS6pdMFhkATM/vYJVqhXniIvTLVqSPgZAs1W1AjqZSwxI8Kn8fS+aBgQwH7io4zv5P0hofHmJLv21t9IzXhPGs/TXP/0CfeTR3rQJQ/YJ1akEC/lG26aEn5dZwSLM0NY3/5Z26OzOgJapw76ckz9WL7f6NDYx0m2OruJ0jRmY6LDjtPtPMnzY3G2lXc9sJoOQEClDu5nVsQl7aDx8IEBoRTRtQnQ06wiThgtsdCjVtJ36LtY3CFakBkfOSf8u5x1DA8uiaEdJ2xxGKa2PxrQ1XqLkzOZe0AsgwO9L6F0r807l73IW8eED8zbQj99s/hcubYdr/4ZCU0P7PjY3BrejD5uuKBQdBitBigYXMVF2RSJRXPP1ZRctAi589GRNRnuHNvc7MqPwqS+0KXzPH/nFdGnYoRMxQMF3mvdt6BjQwPWlU6PrdG07FcS8sDFaADkH1kAsnaHLIQDxa1+j/+hTX6ePPnZ614my6HpIIGPTXmgGxd/1fGSfPkYpafVgkRY7Q5P3Ye9f2VPvLMwDRQmqytuuM7ZdDhR7MnYBoirDlLcF7owoxTXC3Kb+7nzXshsGkW5XltO3EcpnsjyuNo6ZS5GyU/2JLIAx/Tjny3cTEO30d+hWsjwNwn1AwtWefKdc71BZgAHg4qtf1YTpygsztQ8Ch5UQAPGFrcb4d2iA4koz7vrd8D6L8yv/7rv3JAaY5HxWmEykf0cRDQfaYjCytUn3r/1cslFlrxepu38AYi3tPnKKTshTvW8DlQEQRSbOjoeh8rMCEPoFv88aiJN06d9/B33Fp4GYFYAwL4SIlMB30CcWQLiAE0eGnO7Q2cHI+LTN5K+I5sB23a4eVEhg+YRk2QnahLEVQHiAEwMA1HEBAy5TZPyx43LNW9JSj0nXkc/ls1hg46O9D+zEPOuP6N5okTZ1HzYAoctoXiLB+34CCK2hlOOMNVPC3yoEAEKHuVB931rGAAhffR84CeXbyIV/gZw4viCAmEyjRQDFSy26s19OlfsDIJ5K22f+NJ08oZIG6ZDC/Ywe4FO/EZRK1VgE9WsVZaguyuuTP4dxXmrT5RCA+Phz9DO/8zn66JveRMs+rYkrAkK/UHeyk5RmgPx7DFPUwMNWj39rjWilN6aT8rraskK2qEBFeSlY6+zby+Q6lFYVvqGxxgIBm6ki1Hadz32XErluJOT+bfVmTVPbvFsjGvVHtN7O+IbZ+0t7TRh4b2zvAt5Zfj/luyfBu08zoPmL5D/agTN27ST/i20D0SUxvhSufDAxdWPn4Cpny4AbatPmAC/ruIBLEdBhC4+13Smkr4e3+YTkYCbTZLAWor9Fw6tfoNv7cfHWPgCINLmwRiu9U+7Tp80sIF+20KK7nodskGXbRT2XOcPHBHQd5IE436NLP/ld9FWfBuJXn9vNAyEFPJgRj4t/932vOmfb6Uv2p5+f2KD2TofOLHSpYxPiPV2BVc7ZKTo2LmkxO5HbynP7/Dv66Y8o7WZqbf5cNz2m2uMbAQM5+Sv3X+DWwSlGuM/mH5fQ15oefUeNvGchH/+saSoIxXtlm30vhvQgTcmqGrYBCdu6SnAhn8t31gfcXVoMA2ZEFswYM6vs38d/bfPQQManvbSCMeGAiudFnM5j35n9ACn5+C0RLXjm08T47hgqm0GUgcadbdq+/Qt0b9bprmcOINjvgWj3dk3XhtK/H2YA4ZoL/14ZQPwGfXj1XbQSCyBiX7ay5TRgmWJMW5RSl04stWlZnoD7OzRmwcrM2Xea1MLEdVLF705AUECQI/ESjyv2dB+iHeZYV3uh/qaAQgaSYqIMirRbpaxP4+BrVzs55sxbrVVsPg2un1IWhz/ca9Yx69aZJOPaJrrT6e9NA2+Et0UTMQsAUQQouOgYa5YtogkpAiBczuTHGUA416qiieQB0cas/SFmCyDW0i5HDITQsU1TMMS1rFkYYkibEOP17EPdsS9WDOPUJ3KfsOf27iU0Xj1Dl6M0EBmA2COosx80M2uxEC/xF8sUddOyv96IuqMlOglhDEEKYGAiLzzRAjaTB18mwzfTSWEcEtBafe8rz2Pj5zw2DWBKkNFUCY2vbLu2env6qlvLAqfEKu1Kx8Yi7ci+5RXJGuyhzWx/+YAbNBy8R2y+MbwPFvrU397i09zkL80AQ5K9W/zd9r7Id0E+x+9l3jGXhsKnBcS4ua6PzxU1q4RMtrb96XLwhF8F6iC/Db7HhLnK/nS0CT+zRc7pMdrC7V2aDJ13w/UeSw2EvjbAl69DaidCNybLvuVdJ6+v031aS8w1BrP4mx2AWEtbq6t0glXYU8IuMozQZ++rgxA2TcAeYWjJoRDTdxkAce4kXfKlsuZMlMaEoQAEMyNmZGBqmlHJZzFj12WKMrkpALFEp4c7tNBeoBGEsnmRCwgNeVqVwlGeMvl3I/iFUMkFAvflASpahS5BS20aAyHQ9qyB71lowbK5eYs5aI2rg/Vtf7arhuU1w7kQHUzb/11XFJv1XqBU92Mbs+zHVn5qzI7oikTczOjtM6vvBXcZ7VoJbezc200cZQMQuaDLwIUPuLve19By8/NYAOECLz4TiTZ97uEFykzCQroIiHAdAtGGzUQjAUfokGfzCYmJNrH53hVNuBdrLrHdOyRBU/5+ZdoHl6NpKASW22EgwZcnvvpZujMrf4iZAQi+JKvTy03P+V4MaRLyF1HZlGLrxbyEXIYdF+ULGdqcse1yuSIAgsu212m8+hBdPioAghnkwglaTGmSr8KkRC4ZTueznecvm8vcwKfKgPAKPS+y7nWVtQlSmxCvq7/tIaWLmV8Bf0a7tt/0M3yXbehx2dp0jR1l0bcs53sGsMB08pUrCoD6LRomd+m+HEcsgICGguuijnkfApoL37ruJ4DQTtbarFwXgOD52u7uYSE+DwAi1kckBkTsB4DQV8DfHdPWzZ9PpvZwXbxjNgBiLe1WyVUQmlzZTIiyXVcEQqjvGFUho/8iJ3cGEOfO06Uf/256LuhE+Rv04fPvnM4D4dIySEYFxmVjZJrBaSYXokkO+pYowdxXtujEqDPRPlURfq5TpBayrj6k8Iqdx0GXkyl35eVAMxtXl1JCBjz+jD9PVrxCY5lFm2oARemk7zxw3f44SmijN6TBeKN4ptQQjeS7GCprhGykrwWXdWkgYvqxlQklzYppN/YQCDDhijJx9VU0Ki7nWwEHVNu4bZqXGG1HDJ0MP7bca+Sqa7t3Cb9BU/H6kB7QDC7dqh9AZKaLU6OJc1KssA/5SdiEf+xihMrZwhi5js1BMManIGQ2ACOAsF3YodHqSbr0H7yVvhYDIC681e+U6nzBViiVjLC1sissXAxSn7Z8tOSy0D4kXVoM0X2Wzw8KOGjhH5N/vwgddOa6InVJCvJCFasVtgGiKZBSFGDY5lEX2BEXKrVbNEzv0IZ8T4pQoi7QIYGG5B0SVMhDSwyPipmHC7BofllEcBY1DcSMs2oZW/iqDcSE+imTuMuVqjzUl3xuc0DVt7u2WjS+8gd0t25TRs0AIk0urdHS4iItFCFATNmYk39MOwbUCMfCEKp3vYwSJNhO+nosvtNGd4tGiw/T5Z8OAIh/8iy977Mv0IfPL9EK+izL3EK0Ksv8Bqep0yFakvddcF9akLIgLCpcXXWsv0PI2E7WcvL8XJatKGT1SdYlPFEupG1w3SgImuoagXKrAAAgAElEQVS5207WmC5y6Re5XZDL2m4edP3OfbkuDsI48Jzble3YxmXbp647AfL2s5h4TWNJK9ue0bQbEm0t3534PoxWdjUQ7Q27Y7IsE3q/5PMi75rPfFKkz9iyIf6IdmLzxsT26ypnM6OgbEgY1w1efP3ZLlYrMvfQlQRT+0doUIx8E5crGj7Rp3Q8plZ/RDs3f54e1BnaWS+AeH+6sPq23dNxnZuqARBEhwFAtFdpabhlAZBSTY7d36V0D5MXycbYd2KKqYdOmSWFP4S4D9RA2BVhAr6ydbbnE6hFrx2ua366HUnjWfWhAYoPfITAilmfO7SxwBeXzxGAKHIwqYPOswIQRZLV2YSlDQzMM4DAHEJOpy4zTFFzjoxqkX4Xr47pQZ1ZKusDEGtp6wLR8mh1937zOjZwqI261HWufmyOUPybT/3Pz4qcKphJxWggPvZV+unP/If0YU7MNSvNQ77Rhc03dj6sfVgY0KIWWr7Tqk0zgTHYhI4+veZlFXjwqs3VYhfVhIT25H4/T3q7J+J0x26r5zK2Z6jrezar+XCfcuyx/bjmGFs/ptz2kAYrOyYHWaE/rakoqpVwmRj1IDR/gfmQy4XMji4/KNmH1pj6gITP58sVwl6IqKKwzXwSk9Av1pTOXem8Fr6xunzpXCb5IuaesjQyc7AktsK8vvU03avLlFEbgOCEURt96uqLZjQRZAx0ncJfCvoqhHfV1UKUv0OVGcMk8MLbBP+1No3f3KPL730HPe/zgZgAiOQfX/xbqYlu4D+XOtU2Dx6nr3zMPFz04fmx9mE/mDvGUMkfQExEClEp0BB7jVtebaFT0uPZMG8hwG3CscjlPNyebh+/yXWQt9m6LhAK/S7nirZtfcc8k2NDG0Xn7Zp7mXfbtiYAL679Ot6gTWgfzFhOhfOpjO+Vc7Ss8t6BHhJQAEy4Dhk+kIJnNgAR4tex2gpDT5WfxpYnw7bWug9fIrtQ/p0YR/qymu9Q31Pvr8eJMzY6MDbx1+gktfo3aefGWvKgzLuk69QDINbSzupq3A2RdQOIWQOHnGEKrYIED/w8hgEcZgDBoMM3R36+eZq6vSF1XadhLUzBuG0n4NhTsQ+suE62+ua9mJth63jR9rx42S1/MaFfvv71dfRVxyrbC7VtS7oT6j907b3rPpyqdOJxxcTO856yaR9iAITpowSIiOEfIboeJICAP9i8AQgXzXRK8djcGKE1kM/nCUBMgZVMM/Gtl+gBfSgZFJmTrWwNAGLiONlfmk4Y5RqYdDjcL+EfIpJG6j5hj7bqPMlHayCeo/d+5ieSD3OOjdCcXM9tjLAM05PtD4hanPcBJ3Xdt+13eWrWzN12Gs6BXCZ4Q8LABwzKCL6y9D5s9e4vUnrSk9dfzofL1j0/3Tf6iB2TbzyxIGTwgLZ7p+xpq+uab5l3LhZoMP+KPeS4DgdFTLBME1ukiI1WIS1GDH1d2XZDWgw8h3DnDMCG90SGx/qc74s45sfMkcuU9SH0Ze3Eswd9GtXhUFkdQHww7Z3fcl+UpX0I5gU05AIpC2WUgIAFIj+XKkyf+p+FsmQIsS86xrBfAMJ1itLMTJYLMTou+yCh3vKIOq5UsTp5ij7lGgYk8r77kq2AZgwg2g8mDMAmGFwggcs+ENkKY1/mustBIFYVwtxO1Tbk3JIdStNMpRpqm8tWpQv3JdtB39wu+pdjqtIft6dvANbtPUhozL4PsRoHXf/KvQlNHjlFCT7rMvzMCK6C2oqifEXyNF8Uie1Zkb609iPkL2FbQ1fSLVtZF1CIBRA5749I8x/TF7cXCyBCAEr2NwsAIen54jbtVE1zXQ1ArKUtDin0vdSzAAxlHAh9dj+tTcDLE+tfoAEE0yPmBUT7V4nGT6zS5Z/6Xvq6zwfi/3mWfupzP5l8JLugrAovnapbBUDwPLfaezOOhganBag8YfpOnfJZTDkrs6pB8IXmd1if264zRi5/mbffl8O/ytxtSXEMSIzUivj6luDEVa47oMHiAg1j5iDBAsrHAAgADKtwVKBCg/kYvoJ2bfwr5AeFukX6sTl0xtCPyxSVD0WTb8WOY17KxWpD9HjLgA3271j/PG1UcaisBiAC2ocyGyRmIY8igHjzBXok5EQ5jwCCfR8kcweT1qdTzbxdz0OnWlf7rn2jT7jyYpuQEMS8IFRd1/KG2onZ07JM6IId3/XAaMcliPVz3RbTX16hPXURkAV42YSy1Bjgc2hdi9Ion4eKgfcCCAFCsKZyP/FvJ9L4yIsGQEyo3QCIsrt3b726AEToXhP0vL1Ng6tryWbZGZQHEE+l7aIZEcv4Gtgm5kLWISJI34ZY7YJsM1atGVJN4hSA9q50aPzmhH7gP3knfco1h9M9ol95ZhKFQWvpniyPUIva6ktVqq+cj35yThj39oA6gzF1XALNJzR8p0HUizkxhtZcPy8iyJJtu4o+XaTE9WwKCCy6vfJRn9vyzUGXi+m3KE2OUvkQPV1zZdDU3aHBDYrTPlSlmcvEod9P/e7iPcQ7yN+Lakxjxx6rhdDaXf4uw0qn3gl1kylkQmz4Krc1Gu+mCvDdNxITrqppEdJwlO1PhtaG+jCgLLsWwLZWOhupLqPr8ndEq9g0FS++SJtlHSpLAwh25IOvwJSQFemRYzdqLEio0p7ZeFk2uRB4kC9nLGgoMjYwATZd0Cql57fo3Moifc+ZRXoTJZSMUkpaRK2UJv8Pidpdou31Pv3WN79MV+hSnMOqb0xlgQTa5Dlsr1KHv6ebEyHIIbzy8xTj2KQEIb5cRn6W5WQYMNqaaic7cYaAgK/9PBJoi5LWkkjnrb7nc92azE+WlWMaO+oV2ROx7dn64t9QH2OUv+lnhkFZ6tjmm3vYqznK36fe/6Xp22F1ltayNImlj42Z4je5n/T+aCc0vsmmi8yHwdRZzfbGOiXWz2iYn+NP1qljsqoNvLdS+6FBhVlfYQopw8P0IUiaPkLAIiZdPsLifdpkGSZv81HL93UmcwBcDC/y+De4DrIxy+XK/xObKyffiwpIGT6aXQWAz3IeNtDhmqOtrE+zwVcpXPu5ZCNm/rpMOQCxlnYukP2ugzLmBdvAQ0K+zGRnDSBsKk3fOFnzsErUWxjQd7XadHqc0sikgG6Z66nbWTroFo1o3Erpy689T1frAA88pqoAYucetetIGuYCHOYlyoBJaK0lcEFZDUTk95AjU6i/w/7cdleLTdD7hL/vvhcf8445fdVJ31iVsGGiGyry4pAACBu95gFA2GSB1AIjWsS13i4AwXzcBVKgnSgCIKbAaeDStLoARMwetwGKEDiS4MPXh34v1tdpk9aSKN8f2W4JAJEmtEa9iyvuU7Br4WOIlqNKkbglZBIItSs1ClxWI3IW/FKg+hyhbOVC/fueXzxLTxDRRT7KM2BIWfMwSefcShNqt8eUtNr01Su36Zv8W5W+ZN2iAEKrUtl8gc0cEgpQqYVUb1ZG6FHl6fK29n2qQNsdJjaVqu5HnjZ0eaZF2xHloRmm7wIzVxuh9S/CoNGWi5HHhDO7mK+ki+9QEVJdu/IbxJxybczUFUZuTBcADCEi1/Vcai7qajNrp+j77erexnu1BsLlhF52SjGHR1dUSUg7UnZMB1FPvpe2/V4m1FbufwkiFtdpeHWNtorek1EcQKylnUvkDtuUApo3Xxn1mRc5lVDNac3AnvAqZhz7qIY081ul9NKAHkoTeoxBA6XUancy8DCmZMzgIaH2cEzfvNah5834qjI4xbBcYMhqnxV9X1qnNl5Ulz3StobaDihTgmtBAXAi29GI3HXKsKkTXcBAgwEJfvULGqtd82UodYXWaUGMvnScvi+pl+8ZhwpfEu+OSwgU8dKXc7l6ilJuX2v5fFo/V1mmhaYhf4fJ1JcFNnSq1fuS2+Wx072SeR9WhflinVLCd/4c+pN1UVaDCvnO1ww4fKGmPBx+HnN484V9a0Ef+u4imT4Ehkgbs+/QRgiwxGqu5Zh8IGvWICcWWIAfA0isP0NbRX0hCgKIifZBCh6b/S20uPv13BWHDQEeNY6aX1r0fWZES0spPZG0JqYgaB4MmCBqsQljRPTa9TF9nTqTfAdTf2BQNibkm1jsfFxgZUiti9lV7dyN3KycN0O+bL4XRSe7kfVYULiEtU27VfZlhcANMRAfOSE4jRAiIhaits/6Gb6H9qBsi8viu60+xuJqU9aVZeSYZbvW8vAR4FwG0l8gy20Qmo/tOYCN7k8CHllPzrMMc0dbeX8v0ZjOBQT+1ez5JUpIfi4zYa7D760EGdNAZK9PBdeJfXfLjknVK6PFkIfGGPDh0iTIocwi+V1NJKrczKzBRGiA0m+EtZ7Xfo42i2ghigGITPtgQ5x1axpCE495PrcA4hQll1r06GhEZ9MWJZ0WJayBECCiMx7TrdaYnr/Wc3iFHyCAAGMPqTJj1shXJlY4xJ6aQ4JVC6xYgVtong6hq4V4TJsuwesS0q75mPISGKABOdbQgDSgkOV9z7hcBPhwgRzb2rtAlgcQ7QXoer4NgAjtAPO8ARBRZMoLHTSAwEAAJG6+QNtFtBDFAMQH094jw2k7/EFoIGzAwBn+VFXtDwrDhOAydYT6EfXOL9HqwgJdYvDAoKEzIk5K3uq0qTUeU5tatNlv0dfWiXayU0eYwbn2bVENRWj/D6kVczL0CqvspC670idt27PQ0PBcawF0W7FAYc8J23b61sLPJnRRRj67RSk9Ti2r4JYD1oLdd+rnZxHCeGpemqgYlwQVKKOBAJc95whD5Wf44zLyu+6Tn8doNCxz3wO8JA1C9ODnkzmkuVYhdpOFyrGmwvfn00DIetIswr/voxYiZOLAMLVGOvYw6dNQhNqQcscng2x9FDWHhJaan9uSCaKenkuRrMWxVya4ymmA7TqUwTH1Bqdw/1najtVCxAOIp9L2I3/K7/sQQ+g6yng1C7KDkFAvMph6fBDSs4u01F2iN46HtJBrHjIgwT4P6Yj62336+u1t2ipkT90PAME0kIwen20C0ibIYgSwFFyx7Wph5xPqevw2QalpaQvN0x76YOx6z9kAJ9p3hQeGwgZlff7sspP77OeuZxCo3O4tJQRDQEDSTZoEuB18121ynd2yrT3hki76lfEVsPk6QZMHDUMRnuArGwIQe/fYLi+WY+J2XOYNF6/bR5DBQyhj6uB6VQCEnHrMIdYWlRJjYondDmUBhK/9kGY1xvxTBEDApHttw6S4jorIiAcQFu1DLHHrLndoAcTEf+BhatMJpkkn5duaqdVh58kRtROicWubXnr1ZbpHbxOanhiHrFkDCBtTCqmmfQvvipePbTPm5M/929pz9e0CnPoUyO1KExKe72qpdk/fsRqgadCw64xX9OVxAZnJmMO2dQ0gWLhD6H+7mHfRcaG8BBMAKQAQ2iFxAo7CPEqDex+4kOOW71UDIMquaAMgKmgg5hJAtGlMP5tsxWyI8MvJrVi0D9FCPGYUnjKxarTKEQqx47Q5PtkEjG5vndKLK3Sm1aFz6YgSzvUgHSdZGzEe0pVrX6fbVPT04hfUcWscO/+y5WJBkFTtxgiPouOJHUdRgSLXzFdXr63NIU/Wr3MvxNIqZvxF6RPTt3RQRHkbXeugiY/uaH8Wc5R0CM2D+9caCBcdNV+K0UJojYxs2wamY9osoJFwaQB85gstd1zaD185HZXnM3PEbNtQGZ0mIFQez+vUkMT2yeVYa3Hti7Qdc0dGnHB5f7pQVwIj70RiVLFFKBErLGwnnyL9hMpepfTsm2h5oUXnx21qd1NqjTnPwwJxkqiE8z6MW3T95l26FWqq8PODFMKFBxuo4AqZi+kndi+graLCIxZAaMFYFEAUHVcMbY5jGQ1WbOBlHugSAhmuMc7ivd97KIqTH44xFjF9zPLAGroGwPY8mBqghr1ThD4xfiA+M4se7lXOi7KW9EPTCG+AtZTDCruhhqzPffZgrlCvj0I47rrUJGqodIralzt0bjiibjqgRIOITkJ3Xl2n64V6ig0lmwU4KiPEyjLCQkTxFI6lV1kAUdc4y7RzSTgsXs1U/vI3bpN/17+V6atsHYyL6/vGIcvpsnJuulzZcdVRz0b/Otq1tVHmPSoLJkKgO8Y3Y1Z0QLt1yJCAZsUHIEpPr4KGx9anTnGOMj4QojUclgSL7AvhdeCPARCccdBkHSz81wAIQ7JLJ+hUSrSStidmC764h7UOrImgDm1ebdG1qZjwGELHCsQYAFEGEMSMUZYpw/iK9uErH0uvBkDUSfXdthoAUQ9dy7xHDYDw0/4IAAjXBCsCiEHImTIMID6Y9qJCh2zmh3rQ4fxqFiJYwvkl6qULdKqXgQaACNZEDNvUX79PN9ghOaKp6SJFBSLXhk1Vd3YQAEKP36XKL8MwbcSMpdd+0KLwYgcqHHcNhE8D4NJ2FNHIxIKfyTsW5qlV1r/q+1AETIQ0ELtaAPucI30mqpCjVi02BjLLcZeViRXGVMQUIteC72qiDyQ7vvXxb/an0ja9q4T2wecJbhuNb6NWYei+ly3GUa1K30b1QO2LK3RqNKZOukDJYoeSrQEl3Ra1+2MarSd0k56r6fpg6fjldtTjePfZMrhYbgDGrlXuofGVYaBV1xFz2i8TQBGBFUvvptzBUiC0r+scne8diQUQNp4cA/rlPGL6ssmKmEiisoLYReeYCCWuWza1+CzGW3YsFho473j6Cg18zpR+YcLOkzKcMHaTNwDCUMo4Ti5OUlXDbMEgYntIaWdEd0y8bV2MpQEQ7t3ZAIjYN7cpNysK1PWex4yvARAxVJou0wCIHAsoh9Wxz5nSAyDShD5YwHlyGrFObo3c6wNhN0fUxeCLb5uZ1bh0iRbud2npZJeScZ+S8fLE94H6lHS36M5VoomHq89pTI8uhgnxKdlWznZ6Pown3Rga2FZ1v7QHsu+vRFyopMf6VqUhKtPGzHb1IWhY0+8QDLnUEH3vQUhLpy/8sl/qNc2rNY/2Ra2E+tdaCpk/ZXdsk8sDy6fsn86lEmOOmYSQ+y8tLDueUotcspLP3KET4HEXofIfYFnF7nt7/9wAoqj5wnUxjOzTpxYrSat5rXbx26m7PaQugwYGESP2gVigZLxDmze3+NrU7K9OAOGyBfvswBjHQQjYsotXBEQc5LzKCn8IwbL1y9L1KNRrAASbTsNptCeCYyIUygKIXR42LVxi8mgAgEDD7cqvgz5izCFa1sQ4kMs5xOTciJFzB/0ehQABQEO8CYRDOq2ZKd0braj5Ioaws8z8VmTR9Ck9RsAWaZ/LXqJklWhx1KN22qPkxJha2w+ov36VtqbC2OoCEGUE5WHUQBRdh4Ms3wCA/af+vAKI0F4oOu550EDUASAgtPXhMvauENcO23uHiNsZX/p2+MCUHpMLfO3/rp/usQyAmAZfGhc4zRgOAJGZL1wINUYdFCLiQZotygjb0Hzsz1sAEQstGpqbzmzx+bFagLoFft3tlaPR0asVEhZHb8bzOaOiQhmzwPqF6te5zqG+NIVDWriQFqLoitlMGHUBiJixxGogysgmn0O9KzPuYTBlxNDVV0YCkTXasZkx7ACCzRdvpXbpe+/LgIM6krHsHzCIX5pTtHDhHrVvXKWdA03kEz/ipmRVCtQpWKqOpal/OChQFEDsCm87D581gChD1VC2T53Nte457AVhdq1E3f2G7njxgZ5Y4BSriSmzblzn8zS0RWPYN99a2qktOsA14KLC/jCflnnst7NcDz4nubJMpOymaOrVR4EGNNRHy+PcUl08oIqJw0Z/36HQp1Wtay1dqeKrCPuYg26o/aJtxOajCdHNZk4J1dHPi4CTZ2hMH0oGugkLgEgTen+J3A9FB3+cAATTxqUWlYKnLuZRdC2a8tUp0ACI6jRsWiCqiwc0ACK8m4oK/6LACuVt4CcETEKj328AweOxRGPsBRBsvjgrrpIOTST0vChQCLV3GJ5XESZ1MZAqdOLxz8M4qsxhv+tWWfNZjvWtIpT0K3OSRGyW8z3sbe/Hexfyn2AaxkVS+LMEx/QTu15VBa7uJwY8xI6tSrnQvFzjDNUrM6aQRmKdRjoaww4geBP7ogNi8wyUmYStzrwy57rmJ9uZBQOx0c/Wj01L4vutjvn7xsHtz4IedYxbtnHU96cEIXXTLra94wh+9nvvFxX4szocxozDZdLw7acydWL35zyVKwsudH6QvXPiaIypcE4FINKEnqKWYdoNgDiYLTELptEAiNmuZQMgZktfbr0BELOnsewhTojP5p6iuL53ZVesNqEBEP49FAIQTGflB7EXQKxRe992qjzdHnUmHEtUXxIhF7jQtIvJZlhEA8EnUBsDt51M62b0MXOx0dZVrwpAc/mrHPW9Ow8aiDpAhG8evn17UGagKns1lt/ElqvbiT3GTOrrk58hqkPfqyPnJJ/FmGVi6YFy0+1XB1R6zi4w5ctlBNoUnUtceU4qlV/+OA0g1lJOQT1JQ70ffw2A2EvleQUQGKlktLMGECHzhm+PNgCivje4ARC7gqFugFxkD9e3osVbmgcAIYG69NNrAAT7rOjU47uyvaxJw7ZLvkIjGc45DSAm+R+q3dZ41E9jxV+9YjV8AKJYS/WVdp3AYgVLWaZbF4DQmgPt12HTLOz3Po6lZX2r2rQkKTCPGggeH78DsX5IVXn3LHaESzsao4GYXh/76b7InAGCfICjKA3q9gOJ0UDYxu8bR1GTkJ8GU34QWgPRKUq/PeX3m/FWHvCcNdAAiN0FaQDEnG3OIzycBkDMZnEbAFGMrvMPIEjezrkLIIqYL44TSHCdDG2q/DIn7YOyr/pVp9VteXb1VzXtVrFX8XCVbjQQh2O9Qu891rEML6ibAkVO53X3ze2VlROhg4N8LjUZof704Uy2o7UTs6DHPLcZo6XA+C+ZcE7jB7EXQIQWYZ6JUGVsdTDwMkxj1gCizLzWlD1traJZS69LGTpVWVtX3fli9rMBbbOgW9NmHAUOep8fVgARR929msqQ7PIBiKJ9HsXysSCiARCW1S8jaOsQjA2AOLhXsQEQB0f749BzAyD2BxTHmn1jAERR34yjtI9jAQRfy/CxZDStgWAHynn9q0O4H/TcyjCTOuattQll6MAaCNlO3RqJMmOy1SlK4zoBREyIoA6HrWN966JdmXZce6LInpN7a173VRnacJ2i+5Hr6D1Rpo2y4530v6uVdoUth9oPaQJC9efheUh7U2SOLpPLPMzTNoZJGGia54LSDpo89wZA7PPqgRFIIVJUgBRhzFWmd9QYuaQFr4MGDrPUArnWW+6HKmu133X3aw/65nWY9mcMAAjxgZg29nsf6P7k6T5WI3DQY56H/l2ArezYZNSOBoRl27TVW6MRX++doc0sA2WdHVRtK/RSVW1/HurbTnANg57tyswLgJjtLGfT+jzsTczsMIGIOldDA8/Y6BGMQTuBuuprbVmdc6ijrZB8kO8593cYQFgddLG1EdKmlOm3ARBlqFZznQZA1EzQiOYaABFBJEeRBkCUp11dNRsAMaFkAyDid9QsAAQR54MYz5cGQqqW5QZhxuU6cYCpHeSJZJ4Ya/y28pesSs9Z+0yEMmLWRYeYdlynnRCTi2n7IMschn1ddZ8eJH3nvW/XO7Yfp/lZvzv7MYd5W996gYQAEJwDYh4I6to0DYDY/61YlTEfJwCx/6uzPz02AGJ/6DyvvTQAYl5Xpty46gQQmSPlRAPRAIhyC4Jah4HRFp1hAyCKUuzolT8M+7rqPj16q1bfjBoAUR8t56GlmQGIoiGcseolm2rXFjoHhx080xoH23e9IDZGMutTsAQQsn+fb4MuVzcD9CWBqksgxI551gmp5uGlNABcmdhcZrUiPi+xNJ4FDeraJ7MYm6vNg6TXfs7zMPRVhzY7VsbMCz2KOm1WDSH3hYS7HWPrywQ8pYGIBRBSwMcsnC1/gI25ggFXiStvGEjMivjLlPEniQUJdYO5uturQr2jBCAOI3iQa9fwgQmgPUia+CI7qrxnh6luCES5DtKuOZb1+QqBCVs+i1hNxRqNdk0YMYsz78ylYR4xq3i8ytjA6fGiwN7ZurRlR4Uux5EPVOHNLu3tcaRj2XfA56d30G2GwEzZ8X2MOAoj5SyDftVGlc1ZdnBl6oXmUabNps7hpkADIBoAcbh3cNzoq/DoBkDE0dhXatYAoorGdV8BRJWNWH0ZqrXQAIhq9DvutV1MwGV2A720qe640/Gg538c+ECdfDoGQFQRYAe9H/aj/zrXo+h4Q/u9LIAI+aGssfbB/DsifyFCHpFpNtM4AhSw2akPkgkdAZIGp6D5gxaKVX0HJACN0XyV4Vfzskdm7QweXMw5KODyfTqIoRXdSzEBDg2AOIiVbPpsKBBBgQZARBCp5iINgKiPoA2AcEdf1Ufl+JYaABFPK2vJogSs2F1TvaHA3FBgXk6lc0OQIzIQH+A57FMsy6/LRIpVpVXM+zXPZkzQ2mWKrbAWR8eEUZYIVTdXU7+hwEFTIIbBHfQYm/6LU6ABEHtpNq8Aovjq7l8NDSC4Zw14SsrPBkDs3zI2PTUU2H8KSIbbAI39p3+ZHo96mG0ZmvjquJxAISir9te8NzYgZ3wnGwBRdXM19RsKzDMFGgAxz6tjH1sDIIqtWQMgitGrjtIZzRsAUQcxmzYaChxWCjSnq8O6cs24GwocOAUaAHHgS9AMoKHAAVKgARAHSPym64YCh5sCDYA43OvXjL6hQDUKNACiGv2a2g0FjjEFGgBxjBe/mXpDgT0XLzUkaSjQUKChQCQFjg6AiJywKRZyUrI9R9hLyXCXIsNryjYUmCkFGq3DTMnbNN5Q4LhQoAEQNmbaAIjjsv+P5zwbAHE8172ZdUOBmilwPAFEzURsmmso0FCgoUBDgYYCx40CDYA4bivezLehQEOBhgINBRoK1ECBBkDUQMSmiYYCDQUaCjQUaChw3CjQAIjjtuLNfCzwvrsAAAG9SURBVBsKNBRoKNBQoKFADRRoAEQNRGyaaCjQUKChQEOBhgLHjQLmQgyiNPv/uE2/mW9DgYYCDQUaCjQUaChQnAIJgEMDIIoTr6nRUKChQEOBhgINBY4rBRoAcVxXvpl3Q4GGAg0FGgo0FKhAgQZAVCBeU7WhQEOBhgINBRoKHFcKNADiuK58M++GAg0FGgo0FGgoUIECDYCoQLymakOBhgINBRoKNBQ4rhRoAMRxXflm3g0FGgo0FGgo0FCgAgVyAMFtNJEYFSjZVG0o0FCgoUBDgYYCx4QCScoTFfkfGgBxTFa+mWZDgYYCDQUaCjQUqECBBkBUIF5TtaFAQ4GGAg0FGgocVwo0AOK4rnwz74YCDQUaCjQUaChQgQK1A4hJg5M/mzkEz2dtKtmvfirQ/shWZdrPen19xAvtwSKEr3MuB7knq/Rtq1ulPU3/ojSuc315LHW3V2R/VS1b9zrE8O06+4yZf9X1qVo/Zoy2MrLfGLqW7SemXuw7FlsOfTYAIob6TZlCFCi6CQs1HlG4ToZR51z2m/FKUlXpuwEQEZvugIpUWVcbkIsRdHX2GUO2qu9z1foxYzzeAOL/B5OevMTTJFLfAAAAAElFTkSuQmCC",K="data:image/png;base64,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",O=f(53114),nA="data:image/png;base64,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",J="data:image/png;base64,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",v=f(4977),Q="data:image/png;base64,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",u="data:image/png;base64,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",o="data:image/png;base64,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",t="data:image/png;base64,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",i="data:image/png;base64,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p0+frul+71LQ8aJX6/0RXsSkFwnrDXb75qEPkp6MltAgpXxZKYXD1bGkuEFHL46YOVwWgIF95aUJ/jn8d4AGWb0mLDjZjVQ6vOjVoj7ySymfU0rhQwOxnUaKE3RMXOGyIKRoRUbwN8J41g8gx8QU/46DGV6TUyweMlg9cKW6EfLE5i+EKCEDkvU3wpF2B0TwgpXuxPQqe5T5azYZ7ejoWDI6Oiri/nRMXKADGjwbPTr8eUADuK2tsFYj49/Pnz8/CfQbN244Roiw2one2gl0O5gwiuBFxG/E6LHjEQn77NevX2/G0vESej3+FyXAbuuuCehCCGybe4uZP+xWsKjyRQ06lvkBK8KNpYsxGzZsMMOJ5Qk+MtwX5Ec5q0cs7dGxkOTUU1rbcP2CDlcK+22wHQFbIxAFKj1Kh7g6dMCEG5vJgmwYi6pt7eqtFeg/YubDcShY/swoQUc8HaeYkDDJLN20hYkdXgIAi3/HyiZ+A5xKE8Jago5QJiCGy2KNKJUWjHD0DyMHZMao4/b4XxLaPXLQpZRfVUr9NAnKQoYoQS9d6ClfdbRO77s9UV8r0OGmbN682XSpADDcFMhYbWUULgxeWvjqyOs00iSl3SMFHVdhFAoFfEggMTfwRgn63LlzTWgwrEspfbWxdXgbk0ZrMhqV6zJr1izT98YLCvcJLon1ItptAbBsCF/9ypUr5tbipKfIQC8u96O1E3XKKErQcQ0FdhfCLcEVEW4TelW8JHAdMEHFSincgqhAh4sFOXEEEC9WJVfEDnSUwXFAa7sv3B3s1QljS4Vbm3nNFwnovb29UwcGBt5m5vd7FSjq/NbQiyEXPWWYCfFxTOawwGJ3cBm9NVwFREkANv4uvYYDL0kUoOMZmBDjlJIVOqw2eXWzqQsvCoCHj4/e/ebNm+be9SROVCMBXQjxc2b+cpgQhVXX8uXLzYZGQiMDyqCHBQCFtUEL9QLy0tNL6EFxiAFA46fS2U1MTHFYGr0jRoRSHx2ugdPEzwpVVgIXgANKjDhWOBNgIrpS7S4aN6BDV7ysGCWtemFLAI9DGEkCPnTQhRBfZ+YfhgVm2PWgQRA2C7Jpyk4mDN84JVQKJsAu36aLfPCL4TYAtvKXLcwFoxUrVhB+kAAfXhwsWNm5Gm5BR52wJerHQpQ1MiH2j5+kpFBBx+dfiAjXSSf6q9PwhzHkli/WBGkUAARocRlRpevbcPDCOnQBwJ1GkVLQnfaaQG7499CnUo8OEPFyA2zI5+aEvhfQLbuhDEKQSNjekMoeHVdcKKVEPd2sC5cCvW3Qa+qsfeZhNmzY4UXo6WWy6Ad0C3jY1cnVCtKp+CkbSo8uhJhRvLToPX6E0GUqW8Dy5d0ACrjQcwMwt7F6O7sHuakrie0ZCui5XO4EEX0piQpqmbQFYIHAoOdyuW8R0fe0ObUFkmyBQKBLKT/JzH9O0gVFSTa2li0+C/gGXUq5iZn/p78mHV/j6Se7t4Av0ItXV5zMyo257s2pcybVAp5Bx+dbpJS4T/GzSVVKy6UtUG4Bz6BLKV9TSuHr0TppC9SNBTyBXrwd9zf6o1x1075a0KIFXIMupdyulMItW7FcPKRbTFsgiAVcgd7e3j6vUCggwrI5yMN0WW2BuCzgCDpi5EKIPxLRi3EJqZ+rLRDUAo6gCyFeZ+ZXgz5Il9cWiNMCtqBLKb+glPplnALqZ2sLhGGBqqDn8/m9Sql30v6xrTCMqOtIvgUqgt7T07NwcHAQe8vXJV8FLaG2gLMFngEdX3+WUr7JzB9zLq5zaAvUhwWeAV0I8QYzv1If4msptQXcWWAS6Llc7gARtbkrqnNpC9SPBSZAb29vf9/4+Dg+phXblc71YzYtab1ZwAS9s7Nz6cjICK50ju0jWvVmOC1vfVnAKF7pjPsRP1RfomtptQXcWwB7y3+slDrkvojOqS1QfxZw3AJQfyppibNkgWPHjrGDvsowjMMa9CxRkUJdHUAfNwzjQGtr6wkNegobP0sq2YD+1DCMz7e2tv4B9tCgZ4mKFOpaBfTBxsbGTx85cuRvlsoa9BQ2fpZUqgD6w4aGhhdbWlpwS8VE0qBniYoU6loKumEYdxobG184fPhwR7mqGvQUNn6WVCoB/VpDQ8PzLS0tZyvpr0HPEhUp1LUI+gUi+vjRo0cvV1NRg57Cxs+SSsePH+9qamr6xKFDh27a6a1BzxIVKdS1ra1t4cGDB/udVPs/YIoD4AHLutsAAAAASUVORK5CYII=",b="data:image/png;base64,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",B="data:image/png;base64,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8fHx8f/8AAEQgAoAEhAwERAAIRAQMRAf/EAMEAAAAHAQEAAAAAAAAAAAAAAAABAgMEBQYHCAEAAQUBAQAAAAAAAAAAAAAAAAECAwQFBgcQAAIBAwMCAwQGBAgKBwkAAAECAwARBBIFBiExURMHQSIyFGFxgZHRUqFCIxexYnKSolOUFcGCssIzQyRkdBbSY3NUhCUI4YOTszREtEUmEQABAwIDBAcFBwMEAgMAAAABAAIDEQQhMRJBUWEFcYGRIjITFKFSkgYW8LHB0eFCYnIjFfGCM1OiNLLSQ//aAAwDAQACEQMRAD8A9Gkkm5NyfbUS0UVCEKEIUIWK9UdzyYNnx8KFikebKy5LDuUjGrRfwY96o8weQwAbVvfL9u10pec2DDpO1cwrHXYoUIQoQhQhChCFCFJwNy3HbpBJgZUuK4/q2IB+tfhP3U9kjmmrTRQzW8coo9od0rW7X6qbrAAm54seantlj/Yy/d1Q1dj5g4eIVWJcfLsbsY3FnA4j81psP1J4rkAebNJhue6zxmw/xk1Crbb2I7aLIl5FdNyAd0H81Yry/ijLqG741vpex+4ipvUR+8FVPLLkf/m5Qs31E4jiozLmHLcdosdGYk/yiFUVG68iG2vQrEXJLp58OnpWE5D6ib3uofHxf/LsFuhjib9q4/jy9D9i2qhNeOfgMAulseRww0c7vv45DoH5rKBQB0FVgttJNStShNtVhhTwkEVZa5OCT2qYFCF6chC9CEKY4oSgKgcUhTiiqzymlSsHIOLm42SOhglSS/8AJYE/oqIOoQVDOzWxzd4IXoDHmEi6lN1bqD9B6itxeYPbRO0iYhQhChCFCEmQ2BoTgFV5czg9KcrcbAm8eSUt1oT3tCsfmcn+sb7zQqvlt3Ks4ZyUcg2OPMdQmXGxhzI1+ESqL6l/iuOopqtc0sPSzFgxacW9H6ZK8oWehQhExspoShZDm+Km4ba+OTaVGEkDHsHX2fUw6VDcw+Yym3YtzlMhik1bDgehcsZWVirAqymzKe4NYBBBoc12INUVIlQoQhQhChCFxRRCFCELiiiERpUqI29tPbGSlCFvb7OwPsqUQcUqK1L5ISotNHlJUkqaNJCWqQEZ2CoCzHsB1pweAKk0CUuAFSpkO0MRed9P8Rep++qknM6YMFeJVd91uClptuEnaLV/KN6qOv5j+6nQojM87UH27CcdYgPpW4NDb+ZuTj96QTPG1RJ9mABbHft+o/41eh5v/wBg6x+SnZde8FXtE6MUdSrjuDWmJA4VBqFaDgRUIwKjc5CWBUDimlLtcWPY96iKauo8D5Z5m2ww7mvy8cRGPj7hIQsM7DosYJ7yAd7dPG1adrcVbR2HFcXznl2mQmPvVxLRm3j0LdFWHcd+1XVztUVIlQoQhQhE4uLUJQVGkxdRpVKJKI48QLRVDpKp7yVoqo9SyHp1tD7NtLxTOGysqTzpgpuq2GlUB9th3NFFt87ufPlqB3Wig/NbIG4pFhIUIROLqaEoWZ37HZka1OWtZvAK57u236pC1rSDs3j9BqpdWokFR4l1FtNQcFSkEEgixHQisMgg0Oa0AUVIhChCk4+IHAeT4T2Ud/tqtLPQ0CidJuUtYol+FAPsqqXk5lREkpVNSJud4Y1vIAb9hYXNTQxveaNTmtJOCr5lk0JP5RjglLLG/wCqxT4gD4i/UVsxwaRjid6ssIqW1q4ZqXsWyZ2+bmm24OgZEiu4aQ2UKgub2BP0VZjYXmgUF7eMtozI+tMMuKk7FCM+DP2Jx/tUoORt1+4y8YHXED/1sWpfrApWCtW7dnSobx3luZOPCMH/ANDsj/tND2qmVgQCOx61GtFPTYmXBFBNNC8cWUpfGkYWEig2LL4i9KQQo2StcSAalufBNUikTmPO8DFkAN/iBHf7agmt2yDFMewOzU+HNgksCdDeB7ffWVLZvZjmFWdE4KRaqiiqitSpVbbTxfcdz23N3GJkixMFWLPJf32RdTKtvAe01cgs3yMc8UDW+1ULrmLIZGxkEufu2VWU3VBrilHQuCD9nUfw1Z5dJ3SFtWxzChhaulys1U7aNn3Ld85cHbofOyXVnCkhVCr3LMegFNYxzzQZqrd3cduzXIaNUQkC+rpY2N/oNrVESp80/l5mVmur5UhlMaiOJDYIiD9REHuqv0AUOeXZqKKFsYo0UrjxJ3k7VLwt+33CQJibjkQIOyLIdI+oG4pWzPbkSoZbKCQ1expPQpy845eth/e0xt46D/m0/wBXL7xVY8otf+se1A845ef/ANrN9gQf5tHq5feSf4i1/wCse1Ac05cDf+9sj7Sv/RpPVy+8Up5Va/8AW1S8X1F5bAwLZSZKjuk0am/2rpNPbfSjbVV5OR2rsm6egrb8S51i77J8nPD8puSqWEYOqOVR8RQnqCPaprQt7sSYHBy57mXKXWw1g6o/aOlairayEKELObGjhBenLVuyFok+EU1ZZR0JEYF+g6nwFKhRM3AaRD7h+6lU0UwBzWN3rZXUs2kgfT0oW9a3QKwO5iMZjKhB0gBiPGsK+cDJgultySypUWqimRFwlmsG0m+luqm3sI8DSjNLSq22FicV3qNBBOdj3FwNMMxMmI5IHRHPvJ9RNRNiglNAfLfxxaetc7LLdW57w85m8YPHSNqh7zxretnN83HPkH4cqI64SP5Q7f41qr3FnJD4hhv2Kza8whn8Bx3HAqqLr5kcQZFeZgiGRgqAsbAsx+FfE0lvbmV1BgN6vUwJ2Ddn/qmd82bd9py1i3SLy3lXXC6sHjdPGNl6EVu+n8oaQKJ1ndxTtrEa0z3jpCPZd0xcfzsHclaTZ82wygvV4ZF+DJi/jx+38y9Kex4GByP2qku7ZzqPjwlZluI2tPA+w4pGTFuewbraLIMWRGuvGzcdrLLDKvuyxsP1XX7u3soILDgnRujuosW1btadjhsPEFQcfImx8iLIgcxzwOssUg7q6HUD99MBoaq0+MOaWuFQRTtR5E3nZEs+hY/OdpDGnRVLnUQo8LmgmqSNmloFa0FFJzN3z83EwsTJkDwbdG0WIoFiFY3Nz7ewFOc8kAHYoYbVkb3vaO9IalJ23Hx8ncsXGyZvlseeVI5sjp7isbFuvSkaASAU64kcyNzmjU4CoG9HumGuDueXhJMuQmNK0azp8LhT0YWocKGiS2mMkbXkadQrTco1Ip07DlTQ9FN1/K3aq81qyTMUPBRviDlOhzoJOhOh/wAp/wABrKms3sxzCrOicFZpvW5xbVLtMc5TAnfzJYgBck2uNXfSbdRTG3LxGYwe6VTdZxOlEpHfAos7vLsJoF/U0sQfZe9W7HIrVtRgVGUirhU5Vpx8chfPaDYvNXLyYmhlaOygQtbWXduiKLfFTonO1Uae8R7FQvzbhlZ6aWmuO/gNpVy2NsuwReTgSR7lvYusm4sofGxj2Ixkbo7j87dqikuo4sG99+/YOjes8PmuTV4McPu/ud/Udg/iFSpgwA3bVIx6kse5Pc9KznXLytEyFPDGxwLCNbfVUfmu3lN1nekPhY7dhoPiPwNObcOGeKUSOCgMpVmU91JB+yrwNRVWAaiqFKhChCv+BwyScqwpE6Lj65pG8FClbfaWtVqyaTKOCzOcPAtnD3sF2NG1AVuLhCEqhIomNiLEBYUqnkkqpY7UigWU5bz3F2WVsHEjXL3IAeYGNoob9tdupb+KPtqnc3YjNBi5bPLeTuuBrcdMftPRw4rAZ/NOU5xPm7jJGh/1UFok/o9f01mvupHZnswXTQ8pto8mAnecVVnOzz3ypyf+1f8AGodbt6ueUz3R2BIead/jmkf+U7H+E0hcd6cGNGQHYkfVSJyFCEzkNZaFIwKw4+uTuKRYeOnm5LMYkjuBqPcC7EDtVWWEuko0YuVa8c2Kr3Gjc1f4fK+Q8baTEZ20RnRLtuWNafybHqtx+U2qxayzsf5Yy2g5LLk5bb3YDxtyc3AqFumdxPd43yY4JNk3TTdoUHn4UxA7C1miJ9nS1a1I6d0aeGxWLeG6gIaSJo/heP8A7fes/rYqoJJCiyqSSFHgPD7KjWrpARE0iVKaaeSGKB5C0OPq8hD1CBzdgvgCetqWqaIwHFwGLs+KRppE+qOhIgKVCO9IhAWFh2A7ChCAdCdIYE+F+tCKFORxySyLHEjSSMbJGgLMT4ADqaWiY94aKk0CU2FmjLTDbHkXMkZUTGdSshZ/hGlrH3vZS6SDTamC4YWaw4aBtrhhmtJg+nvP2tp27Sn5Z5Y1H6Cx/RTJeWeZsoVkS89sR+/Hg0q3yPTnf8XbZ83NONHHjxtLJFrMje6L2Hu6az5OUyxtLiRQKizn0D5AxgdUmm7PrVOvG8/+5JN7XHjG3RX1S3UN0bQbJ3+KqoglMXm/s6epXv8AIR+d5FT5nsyrn0KTvmxb1sO2QGfJQYu6EaoIGb3tC6h5nRbj3u3apZrWSBgqcH7vxUVlew3Uh0t70e08dyoFNrD2VTWsU8tNTCjoSJMkiRRtJIdKJ1Y05rSTQJQCTQKoE3muz9ixJt9daYFBRXNNBRLoTU5DjyzGyDp+Y9qmhgfIe6E1zw3NbbiGLHhatHvSy282Q+0DsB4Ctq3txEN5O1c9zOQyZ5BdDxCTGL1OuXkGKk0ijSaEKLueW+Jt+VlRp5kkETyRp4sqkike4taSNilhjD3taciQFwZpZJnaaVi8spMkjnqSzG5Nc0STiV6SGBo0jADBFQlQAJNgLnwFCE4MbII6IR4E9KiMzBtTDI1bLZ9s9NMvHSPOlzdvy7DzGkkBjLe3Syqy2+sCrsU1o7MuaeKwLm45ix1WBj28Bj2K5T0m47nJr2rfHcHqP9FMPt06TVxtjG/wPr2FUD8yXEeEsX3tVVuXotyJQTiZmNkDwcPE3+eP00x/LXjIgq9B81wfva5vYfyVBk8H37Y4X+awZgl9UmQg8xLj2gpqtasm5tpge8004YrSj5vBcHuvFd2R9qz0+TJkSGQuXHYFiWPTp1J61egi0Nx8RzWvHGGilElSamSlLHehNTuPjT5ORFjY8ZlyJmCQxL8TMewFKBU0CZJK1jS5xo0ZlW6cH5Qdyg21sMR52TE08UEkiA+UhCszWJt1YVL5D60pis486ttBkDqsaQK0OZ2BXcXpDysjVkS4eKvi8rN/krUgtH7aLPf802w8Ie7qA/FR9/8ATXdtn2Zt2+cx83GisZhDqFlJ06lJ6MAe9JJbFra1qpLL5hjnmEWlzScqpv094hgcmzsyDMnlhTFjjkHk6QW1swIJYN+Wkt4g8mqk53zN9oxpYAS4kY8KLXcb4T6Y7xNmRbe+TnNt8nl5JkeVFD3IsDaMN1U9qsxwRuy2Lnr3nPMIg0v0t1CooG/rRSeP8T2AcUwNxx+Pw7pnzxqXR2Vb3Ju5aUlRb6BTmRN0g6alRXvM5/UOYZXMYPtsT/L9pwF9P9xnn2jF2/LhiLrHBocxlXGkiRVTrallYPLOFFFyy6f61gEjntLttca8KlZ70twOPPFh7pLiZMu6R5UkK5Sa/l42IIQN1C/Aw9h71DbMbQGmK0vmK7mD3RBzREWg0wqfxzVr6hZe2YuLvm7QbUh3LbTAj7wxj1xTFY2iZFN2OgOvsqSagBNMd6z+VeY50cTnny317mNKY17cVf8AF4N63X0+xRn580W57ljGR84BfNj8+7KVAAUFUYWqVgJZicSqF46Jl04saPLa7w40w/Nc89SuEjj2w4+4Rbrnbgz5Kw5By5y66XVipCiw+Jaqzw6W1qSuk5JzQzzlhZG0acNLaZcVSyc0fC9OcfZvmY8rK3DJdnx1I1Y2KjXAlNr6pJBfr+rVSWOsHltIFVaNlrvjLpLQxox951NnAD2qRyXlcO8Nt+Dh5TZuFtuOqHKYFTLOw/aPYhSALBR0rO5i93dbWoaM952o5XZmHU9zdLnnLcNgUBUrLqtglKuFFybD6aRNU/b9i3vcbHCwJpkP+sC6U/nNpWp4raWTwtJVWe9hi8bgPtwWc5HtXIYN2fDyYRphtoSGRJVF/azISNf0eyrjWNhwcRq241WpY3MDo9bTnvBHZXYix9uzABrUL9ZH+CmG4ZvSyTN2KbFhqvWSznw9lPivImmrml3WoHSE5KxwkieVYyQjE2UewnwratuZQyUaO6dxVSZxAqtvsm2MhBIrQXP3dxVauBNKgUixXmpTt6RMRUIVfuUxjQ+0W7UqswMqVx/fdrXDy5Hxx/srklV/ISfh+rwrFu7UsOoeE+xd1Z3GtoDvEPaoWNjGX3mJEY7W7msuWbTgM1Ye+mCnJGiCyKFH0VSc4nMqAmqDGkShMPLanAKQNTaz6W1ISjfmW4P3ilApknFlcCrPE5VyDGAXH3PJRR2XzGYfc2qp2XMrcnO7VTk5bA/xMb2KTL6m8xhIji3HUe5LxRt/grVs7qcglzqhQt+X7R2JZ7Ss3n5uTuOZLmZbB8mY3kdVVAT2+FAFqdziTUrXghbEwMb4R1/erzhXG03WbPzMjFbMwtsx2lbFUlTNMwPlR3BUjsSetTQR6qk40WTzrmBhaxjXaHyOz91u0p3F2FofTjJ5A+NHLNmzrHHM1r4+Mr6WeO/XVJJ7v1UojpEXUz+5Qy3wdzBsAcQ1g+J1NvAD2q19HdmGZv8APukgvDtseiI/9dMCP6KX++n2jKmu5Vfmm80xNiGbzU9A/X7lMy8Tkub6n5mRk7XJkQrjEYeHHlrjyfKq/lpIzKwIV3DnTfr9lSFpMlSFmMnhbYNY11Dq7xLdQ1Uy6hTFaFeL7g2oxca2qEnqHzsqXKN/pXyj/lVN5fALN9dlWR/+0Bv4/gk8w3Hbo/TvcsGXMwEzkxWBxsF1EYdSG0RpfUAfppJfARwTuWNd61jgHU17c+tZb0HmMm970L9BjY5/pyVXs8yt35qP9uP+o/cF0LZ915Hi4u653LMfB2nbsQs+K+PKz/sE1FpJiQFBsAQBVxpO1cnLFGS1sRc5x4beCw26812PjXpHsmTumLHukzpjaNrE4jkJkBkV206m91OpFqiLg1g2rUjtHz3bg06c8absFH5Z6g8fT01O2KMWDd92iAi2rBczJCsrCRjJJpVbovxfxulNleNFN6m5ZYSOuw7EsYcXHDL7YJ70qn8vhWCzHrkb+EHT+KBb+jRb+DrUnzA3VdHhGPt7VY8uwZt2wudbTD1lyM3bIlAHW0sWKpP3Xp7xUOCp2coifA85Na8//JdCx8nDgy49ni6SQYyyqnhEG8tf8mpljEOI1HaVzffs6De/R3KklmT5uB5iqM6hi+FmOhFie9o6ry96Nb/LgYr9tBgaf+Tf1XGDi6zq8azar0Ix1UrChaJwynSw9opr2hwoRgjyxtWi2/MxZZo48x2hjJtJJGoc29ulSQL/AFmsqay0moro27x+apzxOa0lgqeK1WPyXjG0i+1bKcnJHbM3BwzfzF1AfZapGXcEf/HHU73LEfYXM/8Ayy6W+6xQd15ryPdAY58wxY56HHxx5SW8CR7x+01FPfzSYE4bhgrVtyi3hxDau3nH9FTLYCwFUqLQSqEiFCECLi1CF1Pi0rZOy4eTJ1lZLOfEqSt/ttXaWcpkia45kLiuYN0TOaMgVdgVYVBCkQhQhV+5wl4zalCtW7qFYDe8N1ZiR09tKBXBdNaSrPRoEQKOw6AVw0pq9x4lalapVRoQIvQhMPFenVUgcmGgN6WqkD01InlqXPYVIxpcQBtTwaqCNZYs3Unqa3GtAAAyVnBOjpSphU/ZuebxxvGzsbb4oXGeV82SZWYrpUr7oBUdj7anilLAQNqxOZcsjuXtc8nu7lXxcy5A/H044ZlGzx9oBGus+/5nWT4vipDIdOnYns5fF5/n0Pmb68KZdC6F6Gyb1k5+coyGj2TBW7Y4CgSZU9urNbUdCJ4+0VZtK47lg/NIjGnD+47buaP1Kgbpmcjh9Yoszd9ryV2jepW2vCxg+l5sfHW4kCxuD7rkye9boacSRJjkcFFGyJ1gWscPMj756Ts7MF0HiW3wbfvHKkxRLHFK2POmHM2poWaAqVHvPZWKagL+2rDRQlYU79TY68cd+P4ZLnfJsKfbPRXZMbZ4YU2eY4pzMqN9UkyyjzdTgIoAac+91PhVeYUjFFv8sd5nMHGTx96g3EfpkmvRPaYty3nd4pcjJgWPHgb/AGWaTHL3eQWdoypYfReo7QVJV75oeWRx4A1JzFdy2XFds4lycbwcnjM6LtmW+Mg3SSbJGSY7/tEWdmW1x071ZYA6uC5i4fLDpo8d5te7QUrswU7iGNn5XFc3cZOJYexcgXz0wcLyYxq0LeAuxCmzN0PUUrKkZUKbdFrZQ0SOfHhU49aZ5Lsm8736VnF5BFh4vI0i89gCBDFLFJquhBaxMYt0Ptpr2lzMc1PZXMcN6HR6jFWnEgrHcE3vZ8DgvHvnM6DGP9/meVZZUQpEBJ77Am4XoOpqKEgMHStXnML3XcmkE/2xkOhFyP1H4+n/AD9/de9KmduHybbJNjMS0kkWOiMYnUEDSyWJpz5B3sVDbctkd5GplWjVqr/Uc1mPS71Vi47uW77hyvJz9zyM2KCLFcXyHAiZ2ZSzsoUXfpTI5qVqr3NOTOkDWwta0Ctdm5YuONcvd8zOVCEycmbIjV+rKssrOAfZezdbVWe7FdFawljQNwA7AtLBHaMXHWoVeqnQtqElUD2pUJ2HNYWSQ3Hsbw+us+5tAe83NRvi2hTFDE1mlQlPoLCmlRlLpE1ChCBNqCULpvD9cWzYkL/EEuR4amLAfprsrKMsha050XH8z70ziN60NWVloUIQoQkSRhhY0qc11Fmt+28FGNqWq1rObFc8miMUzxn9U9PqrkOYW5ilPuuxC6ljqiqRVFPQoQhQhFYUIUHPYFhGPZ1b/BWny+PN56ArMI2qJoFaSnqgRahCiz4wY3oRpBTa46L1oql0BbHiO7bNgcfZM7m8/HRJPI77fiRRNKT0USGRoppPeUC3sq5CQG4uouS5zBI+erYPMoB3iTTopUBFNz/hG0cj23esXcd55TLgRZKWzH6JJMEVXj81YUHu6wdI8KeZWgg4lQM5bcSQujLY4g4ty4VzpXgky+vuFjYW5ybTssy79uztJNmTunlI1vLhB0++4hiCgdAL043A3KJvy88uaHuGhu729pWV2b1C5BHwpeGvDjzbWqNGJpFYzhWfzAAQwUaG+HpVYzHTp2LcZyqM3PqKuD61ps+x2qRtfqRyvi+2yYOyHHiSaUzPLLD5r6iAtr6gLdKSKYtFAn8w5TDcSa36q0pgVBzfV31TzDZ99khB9mPDDF+kITUhndvVaPkds39leklVGXynm+eCMzfdwmU9CpyZFH3KVFMMrjtVpnLYW5RtHUo0EOXK4aeSSVvzSuzn72JqMuV2KHTkAOpO5O2mRtWkaiLFrdbU0FTmMlHjbTa1x0oLkrIVJfakNiR7elJqUrowVYYeLHH7o+IdCvt+6kS4AKwUWpExW2w8a3nf5potriSV4ArTa3EYAckDv37GpY4nPyVC+5jDagGQnvZUFclVyIySPG3xRuyNbtdTpNvtFRlXWuqAd4qrjivEM7k2TkwYc8WOcVFeR5tRFnJAA0/yakiiLzgs/mfNWWbWlzS7VXLgr7B4xxnERZNy5EJ8VH0P8rjTMpIOkoJhqUXIsKrT2EVdbnUG2gzWRPzW4fURw6XU/c5vbpwVvi7DwrccgLteNu86qtyqRmNGsbajJkBPHsDUTbO3ee4JD9t7lRfzC7iH9x0QrxqextU1ybj3H9u2M5MeLnYOcJfLjGTd0dr/AAlgSlmUEqRUd3ZxRx1Ae11duKk5fzCeWcNLmOZSuGH69SyArIXRp7EhE06qRdAQX/CtTlll5r9bvA32nd+aimfRq6TsQPlrXUrk7w4q/HakWYhSIQoQhQhQN0h1xt0pytW7qFc237AZZi6ixHY1BcW7JW6XD9F1VnMCKKmWUX0v7jeB7H6jXL3XLpYcfE3ePxWjROVRSIqEInYKpJ7AXNKBU0SgVVS7F2LHuTeuhjZpaBuV0Cgoip6VFQhXmybLDLCMvJXWG/0MZ7WH6x/wVRuLgg6WrNvLog6G9atpsXH8sr5SabdtIt/BVUONc1Sa91cysRyLjwkJlxkCsOrIo6EfQPGtCCY5FXoZSTRxWeTbCVsataloCFGu0AAyFSI1+KQg6RfxbtSFyUQitNqscTbCxAhieQ9wI0Zz/RBpKkpX6G5kDpICm5HF94OI+XJt2SmJGNUmRJE6Iova5LAU7Q6laFQC7t3P0B7S87KglWvG/Srd+QbVJueBPjCKIuhgdn80ugvpsFsC3S1zUscDnioKoX3O4LWXy3tdXA1wpQrODAQAkrYi91PcEdwfqqAkrb7q23IPT/a9l4Vt3IEy5JJ844+qKTQsaiaMuQLC/S3S5qxJCGsDq5rn7HnEk94+AtAazVjjXumiz21Ym35O5YkOZOMbCkkX5ic3Nox1YLYElmtpFvaagYAXCuS1bud8cTiwangYDj+QzXSlw/TjIzWgxOJbhk4kKjyczHxsny5HY+8pVije7+ZulXdMZODSuNN1ftbV1wxrzm0ubUAdox3BWWy8b3TYpc/d4ONQHLyRHBh7fBkxmOGNASZHkmCdWb4rde1PZGW1Iaql3ftuAyJ0rtIq4uLcSTsoK5DJQuT7tzXA4jLmz7Ztu3tdVzMrGdZjMZSUYJHo93UW76yabK54bWgCn5fBaSXIaHyOGwHClMRU14blQYXFOBx7fjZG48rSF5Yo3bHj8vVGWUEof9Ibjt2qFsLAMXLYm5temRzY4K0JxNceOxb3hGz8T2jbMvftlycnLw8iP355Aza0gLHVEgRWbqSBYdatwsa0VauY5te3M7hFMGtc05DjvxWKy+Selu3ZTpJxfNOa37Zo81DE58wltRSV72P8mq5MY/atuCDmErBSdunLumuXEBM8V3LG3vnTZe07QcTa4cMxzYkcazojk/s3eNSinUb2P0UkXefUCgojmbHwWmiSTXIX1BxrTbQrqk+QcHYILt8u6hRpJx8QgA9ej6o1A8BV44BckG65Dt7T+qqsHmfGMTMEedv2EsknuJHJuUcz6mPQeWoVV+u9QCRrTifappLSQioY74SAqD1KbaH22SQZ+MckzLNjw45MkshPu2kJdgq2N+i+ys7mjGFhNRXNanI/MEwGk0oQeH26Vz85CrpjXrKf1fD6TWRZ2LpjU4M3/gF2oaSK7FodgwWdlJHfqa6uNgY0NaKALMvZQF0LbMby4x0pxXL3ElSrKkVRChCFCEKEJuaMMpFKnsdRZnedp8y5ApVr2tzRY3P2hlJ93pQt6G5qqmSCWE2DW/inqPuNUZ+XwyYkUPDBXWvDk38yy9HAv9Bt/DWbJyQ/sd2p2iuSYy82Iwmx0g9y3QW+uq8Vg+J4L6UUkUZql5uzbvgxQS5mFNBHkgtAWW+pVsSfdv8AmHetJzHClQmw30MpIY8EtzVhx/hm+75O8ONF8voUP5uUskaMCbe62g3I8KfHA5yqXvOILcAk6q4d0g06cUMjg3LceDJnm22SPHxRI0szMgXRHe7D3rkWFx0oMDxsQzndo4gB+LqYUO3qWq4NtEe+JBEXaPGigDSOlr3vpUC4Pc3rPt7TzZXA4ALF5xdm3JpTUXbVZbftGx5efuEK4+bmwYkoiiMBXqQPfLNdB1a9voqxDaRFzhRxDTRZ817O1rDVjS9tcfZv2K1i4vsoyIlk49pidgPNyslL9fBA73P0Vdbaxg+DtKpO5lPpr5pruA/QLnnqZxfb9u5ZiYO0QeUNyiRvlkNh5rSmP3NXRdXT6L024hDXAN2rrOQczkktnulNfLOfClcehdBibmpwYdvxuLYGPhY6qkSZuYsgAQWU6Y4m6iro1UoGjtXJn02svdM8uNTVrKYnPNwSslud4uOJMrc9i2XFJADiOR1BPUDVI8SmkOsbWhNb6RxwZLIekCvHAEpvlHy2+enWcY94TP8AkozJl5mIE0Sy4y+YYyAWVQWtcA0SjUw4p/LpDBeNOimo0AdXAOw4ZLL+luwjO2TJy9v5Hk4U8nXccDEWG8TKWEd2kVyCyC/1VDbsq2oK1uf3xbMGvia4N8LnasRtyI2rL7Ryzg+Ltjy77skm8bxJLLJkZDMoVgzkr3YC9u9lqFj2AYipWrc2t2539mXyog1oAx3dH4rpPLOZ4uz+nuz71jbTjzY+UcVcfAnI8uFZYiy2sp6oBbtVx76MBAXK2VkZbt0bnuBGrvDM0P4rmmbzfM5JyPYHnxoMRcXMhWGPGBAs8yE6rn+LVQyl7h0rqW8tZbW0ulznF7DWvAFdq5JNCmTGsk6JeM/snzJscEX7+VCCz/XWg5cJBX7AH71TQY2DNeSPHgmB6IyYebmEH6TKVSmBoU5e4bT2tCr/AFUmhxvTARPbHeSXHSKFo1xyWEoYqsIJ09Bewplx4FociBdeimPi47N65Zwfh+Xyrfo8EFo9vhtLuU69CsV/gU/nkPQfafZVKGPU6i6zm196WLV+84NHHf1K69WPVHNxN8w9i4jkfJYfHpFMksPwSZEQ0iAj9aKNfdZfafqqzLLQ0bsWDyrlIewyTCpk7ab+k/bNamaPZ/VviKbjhqmHyjbRoeMnqkhFzE57tDL3RvZ94pxAlbUeJVonycsuNLu9C72jeOIWN9NMXcsTmskMuLmhMaKWPcIsVW82KQdIw+ki3vX61Bb1D8Vu8+MbrZpDm94gtrtG38FseSbas++vm7vs2wY+DHoWLcORZb5GS0IAZiMY3RT1Pu6xVp2eIFOK5m2cRHpY6Qu3MFBXpzUDN5LxOBlTYuYcf2pApDeVs6uQx7aCHC2t43qN1D4SB1Kw20nI/uRSu/3/AKKLzXfdh3/Zcf5bfdsy9z2/SYjiY8kc8xI0OoLNpRWvrtY9qbLbtkA10NFe5RBLDNix4Y7OpwH57lWbFsjuVYgknqSana0AUC37q6AFF0XZNpESLcU9cvd3OorQM8ONA0srCOKMXdz2AqOSRrGlzjRozWXQuNBiUzDvO0TNpizIWb2LqCn+laq0V/byeF7T1p7raVubSpeuP86/zh+NW6jeoepHQhChCFCFnN+3+DH8yHGjE+QvRmY2jU+B9p+yrMVuXZ5Llua/Nsdq4xxDzJBn7rek7TwHWnMHatv3GGDNGNmZEEi3aV5IYILjobC+u2qnPjDajD2q/wAu55cTBsgLtJ20aG9niU6E7Lt0bJDDtuOSbsZ8gSPc/UrH9NQrWklkkPec93Uk7TjYGZK8O3/3bG8fvsYcN3sL26O5Vb0J8szhi4vIO9yw+z7lJm+qU8E0WNlSpFPADJGBEBB1D6F1e9Zf01WLqy04LobiPRyxpaXNqQ7PfgRswW55fvOZj8ey5sXTG0e2SZZTRr1dANA6i3xVLI4gGm5c5YwsdI3XkXgdCyXO+a73sPEdt83dSeT7gV85ccRCOABdcvuBW7XCC579ahle5rBj3lq8usoZ7l1G/wBhtc647sfaomdyCLffStNzmzcnE3VABP5rTiLIZG8tkB/0ZWYdVt0v0pHnVHnQqxaQ+RzDQGh7OqrQca76t28Fc+imbtc2zZmDBLI+4FvOzAqsqwq5KRIJLadVlLdKS0DaGmZzUPzOHmcOcKNpRvHeU1xCXYs+ffcba8CTL+SyW8uMZbxeZEq6Eb4ruXdH6ke2oreNlXBoyO9VL7zQI3PPibuy9mwUwVpJm7dj7Bse87VsMAzt3ycaKOLLPXHM12eSR7MbxBCTarQAoCBmquhxe9rn4MBy20/NYbnPITneqex4LSwzvts+LFNNjgqheadHKdWe+ldPt9tQzGsg4Lo+UwlljK7Y8O9jaLS+rXEdv3rd8TI3DlkPH8aLGMfy0jgNIS5PmBTLGD4dqlmYCcTRZPKLx0TXBkXmmue7hkVXcp370c3Tie28Z3TlAkg2ryLy4gLSSNjxmLrZJQNV70j3RkaSVLaW98yd0scdHOrnkKnpCz8nqL6ebLwjO4pwsZmc+cZQ8+Sp0IZwFkkZyFvZR0ULUZlaG0atCLll1Lctlno3TT2ZBX3/AKfSzYPIwOp1QAD/AN29LaZFQfNf/JH/AEn71yXcdtz8RZIM3HlxcgAsYZlKOA1ypKnrY+yqbqg4rsISyRgcwhzd4XV/UWMn0W4stvbt/wD+O1XZj/aHUuQ5S2vMpB/X9653sEW2x7tiy7luH914uMfmRmCIz2khIdF8terajVOMjVUmi6rmLH+SQxutzu7StMDma8F1TfvUXi23bLDkZfMc3cMnI06YdpXEScBwWu0WhvLAHQ62uPrrQMrQM1wkHLpnyUbEGj+Vadv5LHx+r/DDnRDKg5Fm4bOPPlys9gqL+byIHUP/ACai85tdq0jyafTh5YOyjfxITG/epXDsvOI4/wAYxpomgMQz9wVhOjPqDeWh12sCCGvemSyt2BW+X8onH/JIW41o38UW2+pg49xJ9j2Hb2h3HJQ/M7xLIC5lYaTIqKv6o6Jc9KYybS2gGO9W73lJuLnzZXVYMmAbN1fvWExtuLLc9+9z3qAuXQRxVGKm7Num+cfz2zNpypMPIdDE7x2OpCb2YMCp69R06U9ryMQqV3ZxyjTI3U1Sc/kfJsmXIy23PJXKy1WPKmjkMbyInwKxj03C36UazWtUgsYdAaGNo3IZ0rnms3/dskkhkkBkkJ6u5Lt/Oa5pC5WGRUyUrG2mSSdEt1Y2FOid3gh8VGkra8b4rMJVJStABZE0+ldX2TZVijW605YN1dErRQwqg6Uiy3OqlSMukhgCpFiCLgg+NBAOCQBZLd+HYOSWfb5vk5D18lx5kN/oHxL9lYV18vwvNWdw+z9FtWvM3sweNY35H9VR/wDI+/f1+J/Of/o1R+n5feb7Vpf5eH3X+xdMrqlyKFCEl20ilSgVWY3TH2zHEkvkAt1Y3JIv3PQmpfNdlVUrf5XsdZf5TdRNccceg4K31ZODteHh50+3rBKLwRyxSTM9vf8AdiUrcqD7KROIaXEtBA4UFEqJZkOrHml0nt8ntgjH2NKGpU2uVfvSZZohuWDg5827I+5M8cBeSOJCyIXYEQEMvSkSgHSSKd3/AEXO9m2nH2f1l3PCx2eSDFw8maMsbsPMgVtJPttqsKptFJT0Lqrmd0vLGE5lwb2E/ktfyV/P43MtriXi2TJYnrcLER/DU78QehYdo2kjRulaqjgu0zcl9NTtHNtrfBw8URjF3KUrjySRILxy9bOjxj3dTD3h9tMjbqZRwVy+lbb3fmWzw4mtRmATmNxBSPVzjfJsjacKHZocePiGzwCZoo5bOTGpAYqRYpGnwgG5JvTbhjiKDwhT8hu4GykyE+c80rTDH8Sc0x6X52ftfFNG38Zz91l3OR5cjMjbHghYH9mirJJKjEKq99Pe9JbmjcBmnc+Y2S5OqRrQzADvE8cKZp/jW17Ps3It63LcsCLj8WLhwQ4mz/NqxZ3DSMwdWGtnsq269aSKMNeTSiq3krpYWMaTJUkl1OodFEXM+ZbTxrY+L7bk5uNm7nj52PLuWLBplUY66xkll97SFEnu36k1K99AKnamWFi6d0hDSG6TQ8diwnPuQ8Zm55i8k41IMvHjOPPkRhGhQzYzjoupV+NFHW1VZXt11C6blVpMLN0Uo0k1A24OH5q+5R6m+kHIsyDcN047m7lnwQ+SiygRqqltWnpKFazE9bVM+WM4kVWXZ8qvoQWskaxpNcP9FVJ6m8Dwem0en+EjD4JMhomP/wAuQ/ppnnNGTVa/w1y89+c9VfzCZ3f1V3betoyNnh2rA2rDy1CTnFVvMKAglQ3uizWselRyTkilKK5ZchjjlEjnue5uVVn9p5FyLjuXJk7JmNiSTKEmAVXR1HbUjhluL9D3qOOQtyWjf2MVwAJBWnUl5efuG6zTZ24zNk5uQQ00z2uxACjoLAAAWAFMc4k1KtW0LYowxgo0KGH3GaREyMmeaGIBYopJHZECiyhUJ0iw7WFKXEhMjga1xIaATwUnLgLw2HhTArLhVUZ2g+YTbv7aeXKIQ1Kd/ue47daTUpPIUvE2zyze1IXJREApfyIJuaSqPLUuKBVW1qRPrRJkxVb2UqTNF8qtrUiXBBcRB7KEupTtnxUbdsNNPxTKP01JF4h0qvdPpE48F2TatnhRQQorVXB3FySr2KJUUAChZznVTlNTFHyASptShSxqmymmVul6VX46FRvmJvpoUugLVU1YyFCE1OCVNKE9iyvI4XGNIfoNC04JApPJOW7JtW5cazZZxkJiRZC5EWMVlkUyQoq3UHp1HtqSqxoLd72uAG5ZPeOX8V3HNyMqTG3rLE7FjA+aYIVBFtKJG3ur9FJVXorOVop3B1V/BPzeqmy/M4257ntuRFDsan+68XGcSFmdPLYyu5Tstgo+smmueAKoZyuR3caR3s6rDR+pJ/503XlWRgM53HGlxYcSNwpiV0WNGZyLNZU963tqiJe+XFdK/lB9KyBrvA7USdudfvT2T617lNHjww7NAiwbc+1sZZnfUj+Xd/dVbH9l0H01IbjgqsfIBU1efFqwHTv6Vn+W855fyxtO65jHEvdMCEeXji3a6AnWfpcmoXyl2a07TlcVvjGO97xxP6KPtG8chw8STCg3DJiwplMc2KJWMTIwsV0ElbH6KZrNKAq0LKJzg5zGlwyNMU7LvvJo8SPBx90zIcGEERY0UzxxqCbkAIV8aBIQKVSyWELnl5Y0uOZpVNDFyMyFJJmaeUe60krF3uPFmuajJxxTHQ6cAKBVkW0kzOwUDUTewtTtStst6AK0i28iO1NqrAjwTB2qzXtS6k3ycU8u2HwpNSd5Sl4+CE60lUoZRSHxVb2UJSAnI4AosKRIjECg3tQhLKAi1CKpHkL4UJ2pGIRQk1pQjFCNSVooTaowKVIhahCGmhKjtQhWHHk1b9gDwmDH/FBNSQirwqd8aQv6F2rbzeMVplefz5qbQq6FIhEygilSgqNNhq/soUrZaKP/AHalFVL6hWVIqiFCERANKlqqnesbzIGAHW1CsROXOsrjLPOxC2ufClWkwpcfGlRfepKqWqoOXbPHDth093kRfsvc/wAFV7h40rV5ZFqk6AVlPkEKWqhrXQ+UkLtkYN7Ua0CEKTHhRCk1J4aAn1xohSakEIzjxE0aklE5ABCTpsQwswPaioTXMBzQWCMdqKpxKcCoPbS1CSqGlKSoRUowEpapMUq6eNJUJMUNSeNLUJKFHrXxoqEUQ1p40VCKI9S+NFUUQ1L40VRRDWnjRUIoUWtPGioRQo9aeNFQiiHmL40VCKIeYvjRUIoh5i+NFQiiHmL40VCKK74egk3pJPZEjN9re6KsWuLqrO5qaQ03ldh20fshWguEnzUykVdChCFCEKEIWFCEKEIUIQoQmpog4talT2uoqjcYoMaJpGAAAvTHvoFegcXGgUjbOGvlxjI3SR4xILpixHSVB7a273+gU1sJdi5Qz800HTGAabT+CPP9K+KZ8YTJXJZVbUAMhx17eyh1ox2de1LD8xXUZq3T8IVfJ6McBjBaQZCKoJYtlOAAO56mo/Qxce1WR813xwGn4Qk/ud9PdCyap/LbTpf5t7HX0Wxv+t7KPQxZ49qX6pvq07tf6Ai/dB6ee9789owWc/Nv7oHcnr0pPQxce1H1Rf8A8cf4JxfRngb6tAyW0nS1spzY+B696X0MXHtTT813o934Qij9G+AygmP5hwrFGK5TmzKbFTY9xQLGLj2pXfNV8M9PwhKf0X4MqkmPKsP95k/Gj0MfHtSD5qvTtZ8IVHkekOw7hkmDaJ8nBSAj5jId/PBv+oqv+tb236VAbJrjRpIWgz5nnibWUNeTkKaevBXkfopwtY1VxlyOBZnOQ4JPjZbD7qn9BHx7Vnn5rvK4aB/tCV+5bhH5Mr+0yfjR6CPj2pPqu93s+EJI9GOCtq0rknSbNbJk6HvY9fpo9BHxR9V3m9nwhD9zPBNZS2TrAuV+ZkvY+216PQR549qPqy83s+EI19F+DMLquUR4jJk/Gj0EfHtR9V3m9nwhEfRngoIBXJBbooOTJ1t16daPQR8e1H1Xeb2fCEY9F+DkAhMog9QRkyfjR6CPj2o+q7zez4Qq/dPSnhWKgjiiy2yJTohC5LX1HoOhuKjktIxlWvSrVv8AMl4/ElmkZ91HtHobsUMTHdczJzZWN1CN5CoPD3OrH6T91Kzl7R4iSkufm+dx/ttawdFa9uSsP3LcI/Jlf2mT8af6CPj2qt9V3u9nwhIb0b4GrqjDJDuCUQ5T3IXvYX9l6X/Hx54pfqq9pXu/CEJPRzgUYBk+YQEhQWynA1MbAdT3JoHL4zlVDfmq9OWn4QlfuY4N+TK/tMn40noI+Pak+q73ez4Qh+5jgw/VyvD/AOpk7/fR6CPj2o+q73ez4Qh+5fg/5Mr+0yfjR6CPj2o+q73ez4Qj/crwj+ryv7TJ+NHoI+Paj6rvd7PhCH7ptnwlaTZZ5sbJ7/tnM0bW7Br+8PrFPFq1vhwSfUk0hpMA5vAUKf2XImGvGyE8vJgYpLGetmH0+0UrHnI5qO6YDRzcWlXFSKihQhChCFCEKEIUIQoQhQhChCp93aFc7A+YsMdsiMSX7WLdL/41qifmOlXIK+W+mekra9KtLCQoQsB6qQSZKbfjw43nTM0smtULvojCgx2APuuZLt9VUrwVAFF0HIZAwvcXUGAzoKmuPVT2rnmRGy7Y2N8uBNjZqmSfQQ8eqJ9UBTT+qIrr/KBqiRRtKZH7BdKx1ZdWrBzDQVwOLe9Wv8qHoKOCPRtu4RyXjfICm+lW82QSEL5DMg1iw0HR4dvbQB3SN/2wSOkrIwjHT1UFP3UOG/FWO3SfLx73LkLl7PuJid1xxN5c4R2RiNVpHkebp+0/V+EWqRmGomrXdP2z3qrNVxiDSyaOox01bUA8QAG+7tzNVZ+lM1t+lhOQ0V0kK40NoseUI2hWaIRrql0jUZL3PtqSyPepX7dG/iq3zA0+SDSuIxOLhUVNHajRtcNOQ2Lq2df5Z7d7VouyXJReIKu4s8L7XqQ+/wCbIJ/+0Ddf0WpsPhVi+r5mO4UVxUipql5krnjO46GCuIWZbsqAleoUs/urqPS9WbI0mZ09PsCq3o/su6Oj71yjjpRN3wTJLKkWTGXZpQYjKJVZYiQx1SGVlKau4HtArpbskxupSrTsxpSlf6aDGm9c9aUEja1o4bcK1y6a5V3KBhRSndMclUkL5QSTEDoCI3OlE8wN1C6b2DXF6sSuGg5+HPj0U6slXjafMBND3ssMtmNevOqs99zMJ8p8KdYVyYcmUtNKkkCuzZyi/ut8DRlten6TVa2jeG6m6qFowFD+z760pVWbmRhcWGlQ44mrf3j2UzorrkWLmfN7HNjtFHiEOuFNBm5Cw6UxWuyKoOgAX6rcsO9UrWRumQOqXYVqxpOL/b15K3dRkujIppxpR7gMGHs6sStZ6cWHEcNBEYxH5kYbU7CTQ5XzV8yzBZLagPprP5p/7Dsa1x2YcMN2Sv8ALBSBopSntxzx35qRO/8A/UYSP8LLLpv+YL0/Resj94XQD/13U3hX47VOs9A9qELmHMYp8vl74qsuG6Y4Zs3IYyEwSny9OKERvIdWQknv1uQelb9i8Mt9Xi73hGGIx72PeHBdLy94ZbasX97wtw7wxq+pGoUOXUqrdN0jz9r29Y8WQ4vycMmJiZHmzrDJ80kL3YL70jQl38xveXutjVqGEse6rhq1kEigqNJO/AaqCmRyKtwQGOR1XDVrILm6Rq7hcNuA1UGkYHIq9yt45jHlQwbVJNlYoWEYjiFZ45nMhGQuVkMqMgijtpaylvbftVFkVuWkyANdjqxoRh3dLamuo5jGnBZ8cNqWkyBrXd7VjpLcO7obUg6jmMacFRY+xctw5YdwxxkZWZEd0y44siFNLZIlCQPIbLd5I/eTr7LLYVdfdwPBYdLWnym1BPhpVwHAHPtOKvvvbZ4LHaWsPlNqCfDpq6nAOwPacVpeLZ3O83csGPcp3TCEU008vyvkmRlkQRxSeYqlGsW+EC4++s+7batY4sHeqB4q7DUih6M8lmXrLRrHGMDVVoHfrTA1cKE12Z5HsW/rHWGhQhZDcmj/AObJFi+LyIzPb812tf8AxbVWf41tW9fTY+8aKyqRVkYBPalohAgjv0oIoiqKkQhQhChCFCEKEIUIVdvm2Jn4MkDd2HQjuD9FI4VU8Euh1VX7d6hy7XF8nyPHmMsI0pnQJ5glA7F0HvBvG3Q08OO1JLy4POqIjHYfwS8j1o4XjozynMCr1NsWQ010oAqapWcjncaDT8QUFvXr07Y3L5hP/CS/hUXq2cexTn5Zuv4/EEkeuvpuOzZgv3tiS/hS+sZxQflm6/j8QT8XrVwB0V0OZp/V/wBllH0eFRnmEYNMexRO+XbgGh0fEEo+s/ASf/u/7LJ+FH+Qj49iPp+4/j8QQX1p4Chupywf+Fl/Cl/yEfHsQPl64/h8QRv628EdSpbMsf8AdZfwpPXR8exObyC5B/b8QWWl9Y9j2TcpMraoMvccDLYNl4phMLIw6ebGXNibdx7aQXjNlVePJZJWgPLWuGRrXqK0Kf8AqA9PmUEtmqT+qcWS4+jpcVJ6tnFVfpq6/h8QSZ/Xf03niaKY5ckTizI+HIykfSCCKUXrQaiqQ/LF0RQhnxBNP62elzusjpktIgKo5wnLKCLEAkXFAvWgUq72oPyxck1IZ8QSF9Z/SpYliWGcRKdSxjBfSCPaF02vTjfgmtXV60g+VrmlKMp0hOyeuHplI2qQZTN4nDkJ/SKYLtg3px+Wbo56PiCUfXT01Oi/zR8r/R/7HJ7vS3u9On2UvrG8Un0xdfw+IJxfXv08UWEmZ/ZJfwpBds49iX6auv4/EFT8h9Y+CZ0STYeTmw52Owlxn+Uk6Ova97Cx7Gmm5YccVat+RXTMHBpac+8FJ2X/ANRPFcjG/wDNsPMwMpTYqkRnjcfmUoSRfwYdPppRdt2gqGX5YnB7ha4dNPvVh+/709/rMz+yS/hS+rZx7FH9M3X8fiCQfXn06JJ15lz/ALpL+FHqmcexJ9M3X8PiCA9ePToCwfM/skv4UnqmcexH0xdfw+IJX7+/Tv8APmH/AMJL+FL6tnHsS/TN1/H4gh+/z07/AD5n9kl/Cj1bOPYj6Zuv4/EEB6+eng7PmX/4SX8KPVs49iPpm6/h8QUmP1v4PJ8JzD/4WSpvNG4qF3ILgZ6fiCdn9WdqnhK7Ph5OZmP0jSWNoYwT7XZutvqFLr4KMcpe099zQOBqj49t+Yglzs9/MzstzLO9rC57AD2ADoBUdMaqaeQUDW+FqvKcqiyXMM/NizIYFlaLFaPUoQldTA2a5Hh0rk/mO4mZI1rSWsLa4YVO1bPK4GOaSRV1VRRbzumKdWPmSrb9Vm1qfrDXrEt+Y3ER7r3deI9q03WcT/E0fctDsnOYMiVcXc1XGnchY8hekTE+xr/AT91dVy/nbZSGyd12/YfyWVd8pcwF0feaNm0fmtX5beBroNBWNqCTTE5ChCMAntS0QkLLE7FUkRmHdVYE9PoBpocCaAiqEqlQo+TgYmQv7WMN9YpU9ryFk+QbDtpidfIUBgQeniLUUqteylIIXKJNugileJ4xqjYqfsrJc0g0XbNIcARtSTh41vgFInUC2G37dgHb8YiJSDEv8FZEpdrPSsGYnW7pTp27B/qloDimglNtt2D/AFQqQEpwJTbbdg/1QqQEpwSPksNe0S/dUgqnhVuZx/AkJeJRE56lbe6fs9lTNcVajnIwOKr5NkZO8AYeK2NSVVpsrCmTt0Q7wEfYaVP7qA26M9oT91FCirUsbSp/1IH104MJTS9qbOFjAkaB0pqfQIvk8b8goS6Qh8njfkFCNIRnExz+oKEUCL5PG/IKEaQh8njfkFCNIQ+TxvyChGkIfJ435BQjSEYwsckARgk9gKACcEhAVttvH8bUGeMGQ+z2CtCGDTic1RnnGQyW12TjGCdJaEfdU9Fz93c7lsMHZ8HHAMcKhvG1Cw5JSSrEADtSKBJlayk0JWjFZnkJgyYDDODYHVG4+JW8RVe8s47hmh/VvBWvZNc01asPlCeAkH30HZ17fd7K4y65RLAakam7x9sF0Mbg7gVXz5EbKQxFrdQaqBoVxjEx/eeT/wB9m/ntVjzpPed7Ueli91q7wQQbHoR3Fd8vOkl3REZ3YKiAs7HsFAuTQTRABOAXMd65vlbpM8eO7Y+2g2jiXo0g/NIR16/lrjuZcykmJaw6Y+GZ6V11pyhsQBf3n+wdH5pziyz5u7wHH9yPGYSZE46BQP1b+LdrVV5PYvdcNeMA01J/DrTOZ6Y4iHZuyH49S6UGDdRXeLlKI6RCpd5g1Rt7actC1fQrlnJcExZXzCj3X91/5Q7H7apXUeOpdny+ardKpqqLQV5sW6IsYwpm0kH9gx7EHrpv/BVK4hx1BZt5bmusdauGNu9VwFRCbZqkATwE0zVIAngJpmqUBOTbNUgCeAmmapAE8BNlj41IAnAJtm+mpAE8BR8iXQhN/ePQUrnUCkY2pUKqysoUIQoQhQhChCFCEKEJyHGlmPuiy/nPapI4XOyUb5A1W+DtqqRpF2Pdz3q/HE1mSozT1zWq2fZySCRUqxbm6WywcJYkHSkWDNKSVPA6UirIUISZRdSKErc1m95wXcG1OWtaygLIZWLkRSEi9AK3I5GkJzACGUeZCjm/dkU/wiozCwmpaOwJkwwwJWp+W3D/ALo3/wAL/wBlPosasW8dq//Z",aA="data:image/png;base64,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",vA=f(31138),uA="data:image/jpeg;base64,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",PA="data:image/png;base64,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",K="data:image/png;base64,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",O=f(53114),nA="data:image/png;base64,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",J="data:image/png;base64,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eu=(0,f.useLocation)(),_a=(0,t.useRef)(""),[gu,Kl]=(0,t.useState)(!1),Qu=(0,t.useRef)(null),[pu,hu]=(0,t.useState)(!0),[Xl,Yl]=(0,t.useState)(2),[ja,Nl]=(0,t.useState)(!1),[tu,Au]=(0,t.useState)(!1),[Eu,Wu]=(0,t.useState)(),[ml,Vl]=(0,t.useState)(),[Ku,Bl]=(0,t.useState)(),[Ol,nu]=(0,t.useState)(!1),[yu,Gl]=(0,t.useState)(!1),Cu=[{level:"\u521D\u7EA7",color:"#44D7B6"},{level:"\u4E2D\u7EA7",color:"#F7B500"},{level:"\u4E2D\u9AD8\u7EA7",color:"#FF8C29"},{level:"\u9AD8\u7EA7",color:"#E53333"}],Ul=[{name:"\u672A\u53D1\u5E03",connect:"\u5F53\u524D\u8BFE\u7A0B\u6B63\u5728\u5F00\u53D1\u4E2D\uFF0C\u4E0D\u53EF\u88AB\u4ED6\u4EBA\u4F7F\u7528",bkcolor:"#D8D8D8",txcolor:"#FFFFFF"},{name:"\u9759\u9ED8\u53D1\u5E03",connect:"\u5F53\u524D\u8BFE\u7A0B\u5DF2\u53D1\u5E03\uFF0C\u53EF\u4EE5\u901A\u8FC7\u5206\u4EAB\u94FE\u63A5\u4F7F\u7528\uFF0C\u4F46\u4E0D\u80FD\u88AB\u5F00\u653E\u68C0\u7D22",bkcolor:"#7B92C7",txcolor:"#FFFFFF"},{name:"\u516C\u5F00\u5BA1\u6838",connect:"\u5F53\u524D\u8BFE\u7A0B\u5DF2\u53D1\u5E03\uFF0C\u7533\u8BF7\u7EB3\u5165\u5F00\u653E\u68C0\u7D22\uFF0C\u76EE\u524D\u5E73\u53F0\u6B63\u5728\u5BA1\u6838\u4E2D",bkcolor:"#F9AF7E",txcolor:"#A44C11"},{name:"\u516C\u5F00\u53D1\u5E03",connect:"\u5F53\u524D\u8BFE\u7A0B\u5DF2\u53D1\u5E03\uFF0C\u4E14\u53EF\u88AB\u5F00\u653E\u68C0\u7D22",bkcolor:"#FFE9C1",txcolor:"#A45204"}];(0,t.useEffect)(()=>{var Nn;_a.current=(Nn=eu.pathname.split("/"))==null?void 0:Nn[2]},[eu.pathname]),(0,t.useEffect)(()=>{Ut({type:"problemset/getEditDisciplines",payload:{source:"shixun"}}),setTimeout(()=>{hu(!1)},5e3)},[]);const Jl=(Mr=(Gt=_e.userInfo)==null?void 0:Gt.shixun)==null?void 0:Mr.editable,xu=()=>Lo(void 0,null,function*(){var Nn,oa,fo,sa;if(Gl(!0),(Nn=r.detail)!=null&&Nn.windows_vnc&&!(0,v.ag)())return!1;if((oa=r.detail)!=null&&oa.can_fork){Ut({type:"shixunsDetail/setActionTabs",payload:{key:"Banner-Auth"}});return}const gl=yield(0,Be.ZP)(`/api/shixuns/${_a==null?void 0:_a.current}/copy.json`,{method:"post",body:{}});gl.status===0?(Gl(!1),(sa=f.history)==null||sa.push(`/shixuns/${(fo=gl.data)==null?void 0:fo.shixun}/challenges`),T.ZP.success("\u590D\u5236\u6210\u529F"),Nl(!1)):Gl(!1),gl.status===-3&&(Gl(!1),Ut({type:"shixunsDetail/setActionTabs",payload:{key:"Banner-Per",params:{message:gl.message}}}))}),Ll=()=>Lo(void 0,null,function*(){var Nn;(0,N.L9)(["\u5B9E\u8DF5\u9879\u76EE","\u8BE6\u60C5\u9875","\u53D6\u6D88\u6536\u85CF"]);const oa=yield Ut({type:"shixunsDetail/cancelCollect",payload:{container_id:(Nn=r.detail)==null?void 0:Nn.id,container_type:"Shixun"}});oa.status===0&&(Ut({type:"shixunsDetail/getShixunsDetail",payload:{id:_a.current}}),Ut({type:"shixunsDetail/getRightData",payload:{id:_a.current}}),T.ZP.success(oa.message))}),Xu=()=>Lo(void 0,null,function*(){var Nn;(0,N.L9)(["\u5B9E\u8DF5\u9879\u76EE","\u8BE6\u60C5\u9875","\u6536\u85CF"]);const oa=yield Ut({type:"shixunsDetail/collect",payload:{container_id:(Nn=r.detail)==null?void 0:Nn.id,container_type:"Shixun"}});oa.status===0&&(Ut({type:"shixunsDetail/getShixunsDetail",payload:{id:_a.current}}),Ut({type:"shixunsDetail/getRightData",payload:{id:_a.current}}),T.ZP.success(oa.message))}),ds=()=>{var 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eu=(0,f.useLocation)(),_a=(0,t.useRef)(""),[gu,Kl]=(0,t.useState)(!1),Qu=(0,t.useRef)(null),[pu,hu]=(0,t.useState)(!0),[Xl,Yl]=(0,t.useState)(2),[ja,Nl]=(0,t.useState)(!1),[tu,Au]=(0,t.useState)(!1),[Eu,Wu]=(0,t.useState)(),[ml,Vl]=(0,t.useState)(),[Ku,Bl]=(0,t.useState)(),[Ol,nu]=(0,t.useState)(!1),[yu,Gl]=(0,t.useState)(!1),Cu=[{level:"\u521D\u7EA7",color:"#44D7B6"},{level:"\u4E2D\u7EA7",color:"#F7B500"},{level:"\u4E2D\u9AD8\u7EA7",color:"#FF8C29"},{level:"\u9AD8\u7EA7",color:"#E53333"}],Ul=[{name:"\u672A\u53D1\u5E03",connect:"\u5F53\u524D\u8BFE\u7A0B\u6B63\u5728\u5F00\u53D1\u4E2D\uFF0C\u4E0D\u53EF\u88AB\u4ED6\u4EBA\u4F7F\u7528",bkcolor:"#D8D8D8",txcolor:"#FFFFFF"},{name:"\u9759\u9ED8\u53D1\u5E03",connect:"\u5F53\u524D\u8BFE\u7A0B\u5DF2\u53D1\u5E03\uFF0C\u53EF\u4EE5\u901A\u8FC7\u5206\u4EAB\u94FE\u63A5\u4F7F\u7528\uFF0C\u4F46\u4E0D\u80FD\u88AB\u5F00\u653E\u68C0\u7D22",bkcolor:"#7B92C7",txcolor:"#FFFFFF"},{name:"\u516C\u5F00\u5BA1\u6838",connect:"\u5F53\u524D\u8BFE\u7A0B\u5DF2\u53D1\u5E03\uFF0C\u7533\u8BF7\u7EB3\u5165\u5F00\u653E\u68C0\u7D22\uFF0C\u76EE\u524D\u5E73\u53F0\u6B63\u5728\u5BA1\u6838\u4E2D",bkcolor:"#F9AF7E",txcolor:"#A44C11"},{name:"\u516C\u5F00\u53D1\u5E03",connect:"\u5F53\u524D\u8BFE\u7A0B\u5DF2\u53D1\u5E03\uFF0C\u4E14\u53EF\u88AB\u5F00\u653E\u68C0\u7D22",bkcolor:"#FFE9C1",txcolor:"#A45204"}];(0,t.useEffect)(()=>{var Nn;_a.current=(Nn=eu.pathname.split("/"))==null?void 0:Nn[2]},[eu.pathname]),(0,t.useEffect)(()=>{Ut({type:"problemset/getEditDisciplines",payload:{source:"shixun"}}),setTimeout(()=>{hu(!1)},5e3)},[]);const Jl=(Mr=(Gt=_e.userInfo)==null?void 0:Gt.shixun)==null?void 0:Mr.editable,xu=()=>Lo(void 0,null,function*(){var Nn,oa,fo,sa;if(Gl(!0),(Nn=r.detail)!=null&&Nn.windows_vnc&&!(0,v.ag)())return!1;if((oa=r.detail)!=null&&oa.can_fork){Ut({type:"shixunsDetail/setActionTabs",payload:{key:"Banner-Auth"}});return}const gl=yield(0,Be.ZP)(`/api/shixuns/${_a==null?void 0:_a.current}/copy.json`,{method:"post",body:{}});gl.status===0?(Gl(!1),(sa=f.history)==null||sa.push(`/shixuns/${(fo=gl.data)==null?void 0:fo.shixun}/challenges`),T.ZP.success("\u590D\u5236\u6210\u529F"),Nl(!1)):Gl(!1),gl.status===-3&&(Gl(!1),Ut({type:"shixunsDetail/setActionTabs",payload:{key:"Banner-Per",params:{message:gl.message}}}))}),Ll=()=>Lo(void 0,null,function*(){var Nn;(0,N.L9)(["\u5B9E\u8DF5\u9879\u76EE","\u8BE6\u60C5\u9875","\u53D6\u6D88\u6536\u85CF"]);const oa=yield Ut({type:"shixunsDetail/cancelCollect",payload:{container_id:(Nn=r.detail)==null?void 0:Nn.id,container_type:"Shixun"}});oa.status===0&&(Ut({type:"shixunsDetail/getShixunsDetail",payload:{id:_a.current}}),Ut({type:"shixunsDetail/getRightData",payload:{id:_a.current}}),T.ZP.success(oa.message))}),Xu=()=>Lo(void 0,null,function*(){var Nn;(0,N.L9)(["\u5B9E\u8DF5\u9879\u76EE","\u8BE6\u60C5\u9875","\u6536\u85CF"]);const oa=yield Ut({type:"shixunsDetail/collect",payload:{container_id:(Nn=r.detail)==null?void 0:Nn.id,container_type:"Shixun"}});oa.status===0&&(Ut({type:"shixunsDetail/getShixunsDetail",payload:{id:_a.current}}),Ut({type:"shixunsDetail/getRightData",payload:{id:_a.current}}),T.ZP.success(oa.message))}),ds=()=>{var 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"+i.statusText)}}_onProgress(e){if(this._status===p.kError)return;if(this._contentLength===null){let r=!1;if(this._waitForTotalLength){this._waitForTotalLength=!1,this._totalLengthReceived=!0,r=!0;let t=e.total;this._internalAbort(),t!=null&t!==0&&(this._totalLength=t)}if(this._range.to===-1?this._contentLength=this._totalLength-this._range.from:this._contentLength=this._range.to-this._range.from+1,r){this._openSubRange();return}this._onContentLengthKnown&&this._onContentLengthKnown(this._contentLength)}let i=e.loaded-this._lastTimeLoaded;this._lastTimeLoaded=e.loaded,this._speedSampler.addBytes(i)}_normalizeSpeed(e){let i=this._chunkSizeKBList,r=i.length-1,t=0,o=0,s=r;if(e=i[t]&&e=3&&(i=this._speedSampler.currentKBps)),i!==0){let s=this._normalizeSpeed(i);this._currentSpeedNormalized!==s&&(this._currentSpeedNormalized=s,this._currentChunkSizeKB=s)}let r=e.target.response,t=this._range.from+this._receivedLength;this._receivedLength+=r.byteLength;let o=!1;this._contentLength!=null&&this._receivedLength0&&this._receivedLength{this._dispatchArrayBuffer(i.result)},i.readAsArrayBuffer(e.data)}else{this._status=p.kError;let i={code:-1,msg:"Unsupported WebSocket message type: "+e.data.constructor.name};if(this._onError)this._onError(fe.EXCEPTION,i);else throw new J(i.msg)}}_dispatchArrayBuffer(e){let i=e,r=this._receivedLength;this._receivedLength+=i.byteLength,this._onDataArrival&&this._onDataArrival(i,r,this._receivedLength)}_onWebSocketError(e){this._status=p.kError;let i={code:e.code,msg:e.message};if(this._onError)this._onError(fe.EXCEPTION,i);else throw new J(i.msg)}}var Ae=me;class ke{constructor(e){this._zeroStart=e||!1}getConfig(e,i){let r={};if(i.from!==0||i.to!==-1){let t;i.to!==-1?t=`bytes=${i.from.toString()}-${i.to.toString()}`:t=`bytes=${i.from.toString()}-`,r.Range=t}else this._zeroStart&&(r.Range="bytes=0-");return{url:e,headers:r}}removeURLParameters(e){return e}}var Ge=ke;class Z{constructor(e,i){this._startName=e,this._endName=i}getConfig(e,i){let r=e;if(i.from!==0||i.to!==-1){let t=!0;r.indexOf("?")===-1&&(r+="?",t=!1),t&&(r+="&"),r+=`${this._startName}=${i.from.toString()}`,i.to!==-1&&(r+=`&${this._endName}=${i.to.toString()}`)}return{url:r,headers:{}}}removeURLParameters(e){let i=e.split("?")[0],r,t=e.indexOf("?");t!==-1&&(r=e.substring(t+1));let o="";if(r!=null&&r.length>0){let s=r.split("&");for(let l=0;l0;M[0]!==this._startName&&M[0]!==this._endName&&(B&&(o+="&"),o+=s[l])}}return o.length===0?i:i+"?"+o}}var Re=Z;class h{constructor(e,i,r){this.TAG="IOController",this._config=i,this._extraData=r,this._stashInitialSize=1024*384,i.stashInitialSize!=null&&i.stashInitialSize>0&&(this._stashInitialSize=i.stashInitialSize),this._stashUsed=0,this._stashSize=this._stashInitialSize,this._bufferSize=1024*1024*3,this._stashBuffer=new ArrayBuffer(this._bufferSize),this._stashByteStart=0,this._enableStash=!0,i.enableStashBuffer===!1&&(this._enableStash=!1),this._loader=null,this._loaderClass=null,this._seekHandler=null,this._dataSource=e,this._isWebSocketURL=/wss?:\/\/(.+?)/.test(e.url),this._refTotalLength=e.filesize?e.filesize:null,this._totalLength=this._refTotalLength,this._fullRequestFlag=!1,this._currentRange=null,this._redirectedURL=null,this._speedNormalized=0,this._speedSampler=new X,this._speedNormalizeList=[64,128,256,384,512,768,1024,1536,2048,3072,4096],this._isEarlyEofReconnecting=!1,this._paused=!1,this._resumeFrom=0,this._onDataArrival=null,this._onSeeked=null,this._onError=null,this._onComplete=null,this._onRedirect=null,this._onRecoveredEarlyEof=null,this._selectSeekHandler(),this._selectLoader(),this._createLoader()}destroy(){this._loader.isWorking()&&this._loader.abort(),this._loader.destroy(),this._loader=null,this._loaderClass=null,this._dataSource=null,this._stashBuffer=null,this._stashUsed=this._stashSize=this._bufferSize=this._stashByteStart=0,this._currentRange=null,this._speedSampler=null,this._isEarlyEofReconnecting=!1,this._onDataArrival=null,this._onSeeked=null,this._onError=null,this._onComplete=null,this._onRedirect=null,this._onRecoveredEarlyEof=null,this._extraData=null}isWorking(){return this._loader&&this._loader.isWorking()&&!this._paused}isPaused(){return this._paused}get status(){return this._loader.status}get extraData(){return this._extraData}set extraData(e){this._extraData=e}get onDataArrival(){return this._onDataArrival}set onDataArrival(e){this._onDataArrival=e}get onSeeked(){return this._onSeeked}set onSeeked(e){this._onSeeked=e}get onError(){return this._onError}set onError(e){this._onError=e}get onComplete(){return this._onComplete}set onComplete(e){this._onComplete=e}get onRedirect(){return this._onRedirect}set onRedirect(e){this._onRedirect=e}get onRecoveredEarlyEof(){return this._onRecoveredEarlyEof}set onRecoveredEarlyEof(e){this._onRecoveredEarlyEof=e}get currentURL(){return this._dataSource.url}get hasRedirect(){return this._redirectedURL!=null||this._dataSource.redirectedURL!=null}get currentRedirectedURL(){return this._redirectedURL||this._dataSource.redirectedURL}get currentSpeed(){return this._loaderClass===Y?this._loader.currentSpeed:this._speedSampler.lastSecondKBps}get loaderType(){return this._loader.type}_selectSeekHandler(){let e=this._config;if(e.seekType==="range")this._seekHandler=new Ge(this._config.rangeLoadZeroStart);else if(e.seekType==="param"){let i=e.seekParamStart||"bstart",r=e.seekParamEnd||"bend";this._seekHandler=new Re(i,r)}else if(e.seekType==="custom"){if(typeof e.customSeekHandler!="function")throw new Pe("Custom seekType specified in config but invalid customSeekHandler!");this._seekHandler=new e.customSeekHandler}else throw new Pe(`Invalid seekType in config: ${e.seekType}`)}_selectLoader(){if(this._config.customLoader!=null)this._loaderClass=this._config.customLoader;else if(this._isWebSocketURL)this._loaderClass=Ae;else if(K.isSupported())this._loaderClass=K;else if(S.isSupported())this._loaderClass=S;else if(Y.isSupported())this._loaderClass=Y;else throw new J("Your browser doesn't support xhr with arraybuffer responseType!")}_createLoader(){this._loader=new this._loaderClass(this._seekHandler,this._config),this._loader.needStashBuffer===!1&&(this._enableStash=!1),this._loader.onContentLengthKnown=this._onContentLengthKnown.bind(this),this._loader.onURLRedirect=this._onURLRedirect.bind(this),this._loader.onDataArrival=this._onLoaderChunkArrival.bind(this),this._loader.onComplete=this._onLoaderComplete.bind(this),this._loader.onError=this._onLoaderError.bind(this)}open(e){this._currentRange={from:0,to:-1},e&&(this._currentRange.from=e),this._speedSampler.reset(),e||(this._fullRequestFlag=!0),this._loader.open(this._dataSource,Object.assign({},this._currentRange))}abort(){this._loader.abort(),this._paused&&(this._paused=!1,this._resumeFrom=0)}pause(){this.isWorking()&&(this._loader.abort(),this._stashUsed!==0?(this._resumeFrom=this._stashByteStart,this._currentRange.to=this._stashByteStart-1):this._resumeFrom=this._currentRange.to+1,this._stashUsed=0,this._stashByteStart=0,this._paused=!0)}resume(){if(this._paused){this._paused=!1;let e=this._resumeFrom;this._resumeFrom=0,this._internalSeek(e,!0)}}seek(e){this._paused=!1,this._stashUsed=0,this._stashByteStart=0,this._internalSeek(e,!0)}_internalSeek(e,i){this._loader.isWorking()&&this._loader.abort(),this._flushStashBuffer(i),this._loader.destroy(),this._loader=null;let r={from:e,to:-1};this._currentRange={from:r.from,to:-1},this._speedSampler.reset(),this._stashSize=this._stashInitialSize,this._createLoader(),this._loader.open(this._dataSource,r),this._onSeeked&&this._onSeeked()}updateUrl(e){if(!e||typeof e!="string"||e.length===0)throw new Pe("Url must be a non-empty string!");this._dataSource.url=e}_expandBuffer(e){let i=this._stashSize;for(;i+1024*1024*10){let t=new Uint8Array(this._stashBuffer,0,this._stashUsed);new Uint8Array(r,0,i).set(t,0)}this._stashBuffer=r,this._bufferSize=i}_normalizeSpeed(e){let i=this._speedNormalizeList,r=i.length-1,t=0,o=0,s=r;if(e=i[t]&&e=512&&e<=1024?i=Math.floor(e*1.5):i=e*2,i>8192&&(i=8192);let r=i*1024+1024*1024*1;this._bufferSize0){let s=this._stashBuffer.slice(0,this._stashUsed),l=this._dispatchChunks(s,this._stashByteStart);if(l0){let M=new Uint8Array(s,l);o.set(M,0),this._stashUsed=M.byteLength,this._stashByteStart+=l}}else this._stashUsed=0,this._stashByteStart+=l;this._stashUsed+e.byteLength>this._bufferSize&&(this._expandBuffer(this._stashUsed+e.byteLength),o=new Uint8Array(this._stashBuffer,0,this._bufferSize)),o.set(new Uint8Array(e),this._stashUsed),this._stashUsed+=e.byteLength}else{let s=this._dispatchChunks(e,i);if(sthis._bufferSize&&(this._expandBuffer(l),o=new Uint8Array(this._stashBuffer,0,this._bufferSize)),o.set(new Uint8Array(e,s),0),this._stashUsed+=l,this._stashByteStart=i+s}}}else if(this._stashUsed===0){let o=this._dispatchChunks(e,i);if(othis._bufferSize&&this._expandBuffer(s),new Uint8Array(this._stashBuffer,0,this._bufferSize).set(new Uint8Array(e,o),0),this._stashUsed+=s,this._stashByteStart=i+o}}else{this._stashUsed+e.byteLength>this._bufferSize&&this._expandBuffer(this._stashUsed+e.byteLength);let o=new Uint8Array(this._stashBuffer,0,this._bufferSize);o.set(new Uint8Array(e),this._stashUsed),this._stashUsed+=e.byteLength;let s=this._dispatchChunks(this._stashBuffer.slice(0,this._stashUsed),this._stashByteStart);if(s0){let l=new Uint8Array(this._stashBuffer,s);o.set(l,0)}this._stashUsed-=s,this._stashByteStart+=s}}_flushStashBuffer(e){if(this._stashUsed>0){let i=this._stashBuffer.slice(0,this._stashUsed),r=this._dispatchChunks(i,this._stashByteStart),t=i.byteLength-r;if(r0){let o=new Uint8Array(this._stashBuffer,0,this._bufferSize),s=new Uint8Array(i,r);o.set(s,0),this._stashUsed=s.byteLength,this._stashByteStart+=r}return 0}return this._stashUsed=0,this._stashByteStart=0,t}return 0}_onLoaderComplete(e,i){this._flushStashBuffer(!0),this._onComplete&&this._onComplete(this._extraData)}_onLoaderError(e,i){switch(b.e(this.TAG,`Loader error, code = ${i.code}, msg = ${i.msg}`),this._flushStashBuffer(!1),this._isEarlyEofReconnecting&&(this._isEarlyEofReconnecting=!1,e=fe.UNRECOVERABLE_EARLY_EOF),e){case fe.EARLY_EOF:{if(!this._config.isLive&&this._totalLength){let r=this._currentRange.to+1;r0){let i=ie.getConfig();e.emit("change",i)}}static registerListener(e){ie.emitter.addListener("change",e)}static removeListener(e){ie.emitter.removeListener("change",e)}static addLogListener(e){b.emitter.addListener("log",e),b.emitter.listenerCount("log")>0&&(b.ENABLE_CALLBACK=!0,ie._notifyChange())}static removeLogListener(e){b.emitter.removeListener("log",e),b.emitter.listenerCount("log")===0&&(b.ENABLE_CALLBACK=!1,ie._notifyChange())}}ie.emitter=new(F());var j=ie;class Ie{constructor(){this.mimeType=null,this.duration=null,this.hasAudio=null,this.hasVideo=null,this.audioCodec=null,this.videoCodec=null,this.audioDataRate=null,this.videoDataRate=null,this.audioSampleRate=null,this.audioChannelCount=null,this.width=null,this.height=null,this.fps=null,this.profile=null,this.level=null,this.refFrames=null,this.chromaFormat=null,this.sarNum=null,this.sarDen=null,this.metadata=null,this.segments=null,this.segmentCount=null,this.hasKeyframesIndex=null,this.keyframesIndex=null}isComplete(){let e=this.hasAudio===!1||this.hasAudio===!0&&this.audioCodec!=null&&this.audioSampleRate!=null&&this.audioChannelCount!=null,i=this.hasVideo===!1||this.hasVideo===!0&&this.videoCodec!=null&&this.width!=null&&this.height!=null&&this.fps!=null&&this.profile!=null&&this.level!=null&&this.refFrames!=null&&this.chromaFormat!=null&&this.sarNum!=null&&this.sarDen!=null;return this.mimeType!=null&&this.duration!=null&&this.metadata!=null&&this.hasKeyframesIndex!=null&&e&&i}isSeekable(){return this.hasKeyframesIndex===!0}getNearestKeyframe(e){if(this.keyframesIndex==null)return null;let i=this.keyframesIndex,r=this._search(i.times,e);return{index:r,milliseconds:i.times[r],fileposition:i.filepositions[r]}}_search(e,i){let r=0,t=e.length-1,o=0,s=0,l=t;for(i=e[o]&&i=128){e.push(String.fromCharCode(o&65535)),r+=2;continue}}}else if(i[r]<240){if(nt(i,r,2)){let o=(i[r]&15)<<12|(i[r+1]&63)<<6|i[r+2]&63;if(o>=2048&&(o&63488)!==55296){e.push(String.fromCharCode(o&65535)),r+=3;continue}}}else if(i[r]<248&&nt(i,r,3)){let o=(i[r]&7)<<18|(i[r+1]&63)<<12|(i[r+2]&63)<<6|i[r+3]&63;if(o>65536&&o<1114112){o-=65536,e.push(String.fromCharCode(o>>>10|55296)),e.push(String.fromCharCode(o&1023|56320)),r+=4;continue}}}e.push("\uFFFD"),++r}return e.join("")}var qe=mt;let tt=function(){let at=new ArrayBuffer(2);return new DataView(at).setInt16(0,256,!0),new Int16Array(at)[0]===256}();class dt{static parseScriptData(e,i,r){let t={};try{let o=dt.parseValue(e,i,r),s=dt.parseValue(e,i+o.size,r-o.size);t[o.data]=s.data}catch(o){b.e("AMF",o.toString())}return t}static parseObject(e,i,r){if(r<3)throw new O("Data not enough when parse ScriptDataObject");let t=dt.parseString(e,i,r),o=dt.parseValue(e,i+t.size,r-t.size),s=o.objectEnd;return{data:{name:t.data,value:o.data},size:t.size+o.size,objectEnd:s}}static parseVariable(e,i,r){return dt.parseObject(e,i,r)}static parseString(e,i,r){if(r<2)throw new O("Data not enough when parse String");let o=new DataView(e,i,r).getUint16(0,!tt),s;return o>0?s=qe(new Uint8Array(e,i+2,o)):s="",{data:s,size:2+o}}static parseLongString(e,i,r){if(r<4)throw new O("Data not enough when parse LongString");let o=new DataView(e,i,r).getUint32(0,!tt),s;return o>0?s=qe(new Uint8Array(e,i+4,o)):s="",{data:s,size:4+o}}static parseDate(e,i,r){if(r<10)throw new O("Data size invalid when parse Date");let t=new DataView(e,i,r),o=t.getFloat64(0,!tt),s=t.getInt16(8,!tt);return o+=s*60*1e3,{data:new Date(o),size:10}}static parseValue(e,i,r){if(r<1)throw new O("Data not enough when parse Value");let t=new DataView(e,i,r),o=1,s=t.getUint8(0),l,M=!1;try{switch(s){case 0:l=t.getFloat64(1,!tt),o+=8;break;case 1:{l=!!t.getUint8(1),o+=1;break}case 2:{let B=dt.parseString(e,i+1,r-1);l=B.data,o+=B.size;break}case 3:{l={};let B=0;for((t.getUint32(r-4,!tt)&16777215)===9&&(B=3);o32)throw new Pe("ExpGolomb: readBits() bits exceeded max 32bits!");if(e<=this._current_word_bits_left){let s=this._current_word>>>32-e;return this._current_word<<=e,this._current_word_bits_left-=e,s}let i=this._current_word_bits_left?this._current_word:0;i=i>>>32-this._current_word_bits_left;let r=e-this._current_word_bits_left;this._fillCurrentWord();let t=Math.min(r,this._current_word_bits_left),o=this._current_word>>>32-t;return this._current_word<<=t,this._current_word_bits_left-=t,i=i<>>e)return this._current_word<<=e,this._current_word_bits_left-=e,e;return this._fillCurrentWord(),e+this._skipLeadingZero()}readUEG(){let e=this._skipLeadingZero();return this.readBits(e+1)-1}readSEG(){let e=this.readUEG();return e&1?e+1>>>1:-1*(e>>>1)}}var _e=Ce;class G{static _ebsp2rbsp(e){let i=e,r=i.byteLength,t=new Uint8Array(r),o=0;for(let s=0;s=2&&i[s]===3&&i[s-1]===0&&i[s-2]===0||(t[o]=i[s],o++);return new Uint8Array(t.buffer,0,o)}static parseSPS(e){let i=G._ebsp2rbsp(e),r=new _e(i);r.readByte();let t=r.readByte();r.readByte();let o=r.readByte();r.readUEG();let s=G.getProfileString(t),l=G.getLevelString(o),M=1,B=420,ee=[0,420,422,444],Ee=8;if((t===100||t===110||t===122||t===244||t===44||t===83||t===86||t===118||t===128||t===138||t===144)&&(M=r.readUEG(),M===3&&r.readBits(1),M<=3&&(B=ee[M]),Ee=r.readUEG()+8,r.readUEG(),r.readBits(1),r.readBool())){let pt=M!==3?8:12;for(let bt=0;bt0&&pt<16?(De=bt[pt-1],re=Nt[pt-1]):pt===255&&(De=r.readByte()<<8|r.readByte(),re=r.readByte()<<8|r.readByte())}if(r.readBool()&&r.readBool(),r.readBool()&&(r.readBits(4),r.readBool()&&r.readBits(24)),r.readBool()&&(r.readUEG(),r.readUEG()),r.readBool()){let pt=r.readBits(32),bt=r.readBits(32);x=r.readBool(),k=bt,_=pt*2,ue=k/_}}let ye=1;(De!==1||re!==1)&&(ye=De/re);let We=0,je=0;if(M===0)We=1,je=2-Le;else{let pt=M===3?1:2,bt=M===1?2:1;We=pt,je=bt*(2-Le)}let et=(Ue+1)*16,ut=(2-Le)*((Ze+1)*16);et-=(Ne+R)*We,ut-=(z+q)*je;let vt=Math.ceil(et*ye);return r.destroy(),r=null,{profile_string:s,level_string:l,bit_depth:Ee,ref_frames:we,chroma_format:B,chroma_format_string:G.getChromaFormatString(B),frame_rate:{fixed:x,fps:ue,fps_den:_,fps_num:k},sar_ratio:{width:De,height:re},codec_size:{width:et,height:ut},present_size:{width:vt,height:ut}}}static _skipScalingList(e,i){let r=8,t=8,o=0;for(let s=0;s>>8&255|(at&255)<<8}function ne(at){return(at&4278190080)>>>24|(at&16711680)>>>8|(at&65280)<<8|(at&255)<<24}function c(at,e){return at[e]<<24|at[e+1]<<16|at[e+2]<<8|at[e+3]}class u{constructor(e,i){this.TAG="FLVDemuxer",this._config=i,this._onError=null,this._onMediaInfo=null,this._onMetaDataArrived=null,this._onScriptDataArrived=null,this._onTrackMetadata=null,this._onDataAvailable=null,this._dataOffset=e.dataOffset,this._firstParse=!0,this._dispatch=!1,this._hasAudio=e.hasAudioTrack,this._hasVideo=e.hasVideoTrack,this._hasAudioFlagOverrided=!1,this._hasVideoFlagOverrided=!1,this._audioInitialMetadataDispatched=!1,this._videoInitialMetadataDispatched=!1,this._mediaInfo=new Te,this._mediaInfo.hasAudio=this._hasAudio,this._mediaInfo.hasVideo=this._hasVideo,this._metadata=null,this._audioMetadata=null,this._videoMetadata=null,this._naluLengthSize=4,this._timestampBase=0,this._timescale=1e3,this._duration=0,this._durationOverrided=!1,this._referenceFrameRate={fixed:!0,fps:23.976,fps_num:23976,fps_den:1e3},this._flvSoundRateTable=[5500,11025,22050,44100,48e3],this._mpegSamplingRates=[96e3,88200,64e3,48e3,44100,32e3,24e3,22050,16e3,12e3,11025,8e3,7350],this._mpegAudioV10SampleRateTable=[44100,48e3,32e3,0],this._mpegAudioV20SampleRateTable=[22050,24e3,16e3,0],this._mpegAudioV25SampleRateTable=[11025,12e3,8e3,0],this._mpegAudioL1BitRateTable=[0,32,64,96,128,160,192,224,256,288,320,352,384,416,448,-1],this._mpegAudioL2BitRateTable=[0,32,48,56,64,80,96,112,128,160,192,224,256,320,384,-1],this._mpegAudioL3BitRateTable=[0,32,40,48,56,64,80,96,112,128,160,192,224,256,320,-1],this._videoTrack={type:"video",id:1,sequenceNumber:0,samples:[],length:0},this._audioTrack={type:"audio",id:2,sequenceNumber:0,samples:[],length:0},this._littleEndian=function(){let r=new ArrayBuffer(2);return new DataView(r).setInt16(0,256,!0),new Int16Array(r)[0]===256}()}destroy(){this._mediaInfo=null,this._metadata=null,this._audioMetadata=null,this._videoMetadata=null,this._videoTrack=null,this._audioTrack=null,this._onError=null,this._onMediaInfo=null,this._onMetaDataArrived=null,this._onScriptDataArrived=null,this._onTrackMetadata=null,this._onDataAvailable=null}static probe(e){let i=new Uint8Array(e),r={match:!1};if(i[0]!==70||i[1]!==76||i[2]!==86||i[3]!==1)return r;let t=(i[4]&4)>>>2!==0,o=(i[4]&1)!==0,s=c(i,5);return s<9?r:{match:!0,consumed:s,dataOffset:s,hasAudioTrack:t,hasVideoTrack:o}}bindDataSource(e){return e.onDataArrival=this.parseChunks.bind(this),this}get onTrackMetadata(){return this._onTrackMetadata}set onTrackMetadata(e){this._onTrackMetadata=e}get onMediaInfo(){return this._onMediaInfo}set onMediaInfo(e){this._onMediaInfo=e}get onMetaDataArrived(){return this._onMetaDataArrived}set onMetaDataArrived(e){this._onMetaDataArrived=e}get onScriptDataArrived(){return this._onScriptDataArrived}set onScriptDataArrived(e){this._onScriptDataArrived=e}get onError(){return this._onError}set onError(e){this._onError=e}get onDataAvailable(){return this._onDataAvailable}set onDataAvailable(e){this._onDataAvailable=e}get timestampBase(){return this._timestampBase}set timestampBase(e){this._timestampBase=e}get overridedDuration(){return this._duration}set overridedDuration(e){this._durationOverrided=!0,this._duration=e,this._mediaInfo.duration=e}set overridedHasAudio(e){this._hasAudioFlagOverrided=!0,this._hasAudio=e,this._mediaInfo.hasAudio=e}set overridedHasVideo(e){this._hasVideoFlagOverrided=!0,this._hasVideo=e,this._mediaInfo.hasVideo=e}resetMediaInfo(){this._mediaInfo=new Te}_isInitialMetadataDispatched(){return this._hasAudio&&this._hasVideo?this._audioInitialMetadataDispatched&&this._videoInitialMetadataDispatched:this._hasAudio&&!this._hasVideo?this._audioInitialMetadataDispatched:!this._hasAudio&&this._hasVideo?this._videoInitialMetadataDispatched:!1}parseChunks(e,i){if(!this._onError||!this._onMediaInfo||!this._onTrackMetadata||!this._onDataAvailable)throw new O("Flv: onError & onMediaInfo & onTrackMetadata & onDataAvailable callback must be specified");let r=0,t=this._littleEndian;if(i===0)if(e.byteLength>13)r=u.probe(e).dataOffset;else return 0;for(this._firstParse&&(this._firstParse=!1,i+r!==this._dataOffset&&b.w(this.TAG,"First time parsing but chunk byteStart invalid!"),new DataView(e,r).getUint32(0,!t)!==0&&b.w(this.TAG,"PrevTagSize0 !== 0 !!!"),r+=4);re.byteLength)break;let s=o.getUint8(0),l=o.getUint32(0,!t)&16777215;if(r+11+l+4>e.byteLength)break;if(s!==8&&s!==9&&s!==18){b.w(this.TAG,`Unsupported tag type ${s}, skipped`),r+=11+l+4;continue}let M=o.getUint8(4),B=o.getUint8(5),ee=o.getUint8(6),Ee=o.getUint8(7),Me=ee|B<<8|M<<16|Ee<<24;(o.getUint32(7,!t)&16777215)!==0&&b.w(this.TAG,"Meet tag which has StreamID != 0!");let Ue=r+11;switch(s){case 8:this._parseAudioData(e,Ue,l,Me);break;case 9:this._parseVideoData(e,Ue,l,Me,i+r);break;case 18:this._parseScriptData(e,Ue,l);break}let Ze=o.getUint32(11+l,!t);Ze!==11+l&&b.w(this.TAG,`Invalid PrevTagSize ${Ze}`),r+=11+l+4}return this._isInitialMetadataDispatched()&&this._dispatch&&(this._audioTrack.length||this._videoTrack.length)&&this._onDataAvailable(this._audioTrack,this._videoTrack),r}_parseScriptData(e,i,r){let t=Xe.parseScriptData(e,i,r);if(t.hasOwnProperty("onMetaData")){if(t.onMetaData==null||typeof t.onMetaData!="object"){b.w(this.TAG,"Invalid onMetaData structure!");return}this._metadata&&b.w(this.TAG,"Found another onMetaData tag!"),this._metadata=t;let o=this._metadata.onMetaData;if(this._onMetaDataArrived&&this._onMetaDataArrived(Object.assign({},o)),typeof o.hasAudio=="boolean"&&this._hasAudioFlagOverrided===!1&&(this._hasAudio=o.hasAudio,this._mediaInfo.hasAudio=this._hasAudio),typeof o.hasVideo=="boolean"&&this._hasVideoFlagOverrided===!1&&(this._hasVideo=o.hasVideo,this._mediaInfo.hasVideo=this._hasVideo),typeof o.audiodatarate=="number"&&(this._mediaInfo.audioDataRate=o.audiodatarate),typeof o.videodatarate=="number"&&(this._mediaInfo.videoDataRate=o.videodatarate),typeof o.width=="number"&&(this._mediaInfo.width=o.width),typeof o.height=="number"&&(this._mediaInfo.height=o.height),typeof o.duration=="number"){if(!this._durationOverrided){let s=Math.floor(o.duration*this._timescale);this._duration=s,this._mediaInfo.duration=s}}else this._mediaInfo.duration=0;if(typeof o.framerate=="number"){let s=Math.floor(o.framerate*1e3);if(s>0){let l=s/1e3;this._referenceFrameRate.fixed=!0,this._referenceFrameRate.fps=l,this._referenceFrameRate.fps_num=s,this._referenceFrameRate.fps_den=1e3,this._mediaInfo.fps=l}}if(typeof o.keyframes=="object"){this._mediaInfo.hasKeyframesIndex=!0;let s=o.keyframes;this._mediaInfo.keyframesIndex=this._parseKeyframesIndex(s),o.keyframes=null}else this._mediaInfo.hasKeyframesIndex=!1;this._dispatch=!1,this._mediaInfo.metadata=o,b.v(this.TAG,"Parsed onMetaData"),this._mediaInfo.isComplete()&&this._onMediaInfo(this._mediaInfo)}Object.keys(t).length>0&&this._onScriptDataArrived&&this._onScriptDataArrived(Object.assign({},t))}_parseKeyframesIndex(e){let i=[],r=[];for(let t=1;t>>4;if(M!==2&&M!==10){this._onError(I.CODEC_UNSUPPORTED,"Flv: Unsupported audio codec idx: "+M);return}let B=0,ee=(l&12)>>>2;if(ee>=0&&ee<=4)B=this._flvSoundRateTable[ee];else{this._onError(I.FORMAT_ERROR,"Flv: Invalid audio sample rate idx: "+ee);return}let Ee=(l&2)>>>1,Me=l&1,we=this._audioMetadata,Ue=this._audioTrack;if(we||(this._hasAudio===!1&&this._hasAudioFlagOverrided===!1&&(this._hasAudio=!0,this._mediaInfo.hasAudio=!0),we=this._audioMetadata={},we.type="audio",we.id=Ue.id,we.timescale=this._timescale,we.duration=this._duration,we.audioSampleRate=B,we.channelCount=Me===0?1:2),M===10){let Ze=this._parseAACAudioData(e,i+1,r-1);if(Ze==null)return;if(Ze.packetType===0){we.config&&b.w(this.TAG,"Found another AudioSpecificConfig!");let Le=Ze.data;we.audioSampleRate=Le.samplingRate,we.channelCount=Le.channelCount,we.codec=Le.codec,we.originalCodec=Le.originalCodec,we.config=Le.config,we.refSampleDuration=1024/we.audioSampleRate*we.timescale,b.v(this.TAG,"Parsed AudioSpecificConfig"),this._isInitialMetadataDispatched()?this._dispatch&&(this._audioTrack.length||this._videoTrack.length)&&this._onDataAvailable(this._audioTrack,this._videoTrack):this._audioInitialMetadataDispatched=!0,this._dispatch=!1,this._onTrackMetadata("audio",we);let Ne=this._mediaInfo;Ne.audioCodec=we.originalCodec,Ne.audioSampleRate=we.audioSampleRate,Ne.audioChannelCount=we.channelCount,Ne.hasVideo?Ne.videoCodec!=null&&(Ne.mimeType='video/x-flv; codecs="'+Ne.videoCodec+","+Ne.audioCodec+'"'):Ne.mimeType='video/x-flv; codecs="'+Ne.audioCodec+'"',Ne.isComplete()&&this._onMediaInfo(Ne)}else if(Ze.packetType===1){let Le=this._timestampBase+t,Ne={unit:Ze.data,length:Ze.data.byteLength,dts:Le,pts:Le};Ue.samples.push(Ne),Ue.length+=Ze.data.length}else b.e(this.TAG,`Flv: Unsupported AAC data type ${Ze.packetType}`)}else if(M===2){if(!we.codec){let R=this._parseMP3AudioData(e,i+1,r-1,!0);if(R==null)return;we.audioSampleRate=R.samplingRate,we.channelCount=R.channelCount,we.codec=R.codec,we.originalCodec=R.originalCodec,we.refSampleDuration=1152/we.audioSampleRate*we.timescale,b.v(this.TAG,"Parsed MPEG Audio Frame Header"),this._audioInitialMetadataDispatched=!0,this._onTrackMetadata("audio",we);let z=this._mediaInfo;z.audioCodec=we.codec,z.audioSampleRate=we.audioSampleRate,z.audioChannelCount=we.channelCount,z.audioDataRate=R.bitRate,z.hasVideo?z.videoCodec!=null&&(z.mimeType='video/x-flv; codecs="'+z.videoCodec+","+z.audioCodec+'"'):z.mimeType='video/x-flv; codecs="'+z.audioCodec+'"',z.isComplete()&&this._onMediaInfo(z)}let Ze=this._parseMP3AudioData(e,i+1,r-1,!1);if(Ze==null)return;let Le=this._timestampBase+t,Ne={unit:Ze,length:Ze.byteLength,dts:Le,pts:Le};Ue.samples.push(Ne),Ue.length+=Ze.length}}_parseAACAudioData(e,i,r){if(r<=1){b.w(this.TAG,"Flv: Invalid AAC packet, missing AACPacketType or/and Data!");return}let t={},o=new Uint8Array(e,i,r);return t.packetType=o[0],o[0]===0?t.data=this._parseAACAudioSpecificConfig(e,i+1,r-1):t.data=o.subarray(1),t}_parseAACAudioSpecificConfig(e,i,r){let t=new Uint8Array(e,i,r),o=null,s=0,l=0,M=null,B=0,ee=null;if(s=l=t[0]>>>3,B=(t[0]&7)<<1|t[1]>>>7,B<0||B>=this._mpegSamplingRates.length){this._onError(I.FORMAT_ERROR,"Flv: AAC invalid sampling frequency index!");return}let Ee=this._mpegSamplingRates[B],Me=(t[1]&120)>>>3;if(Me<0||Me>=8){this._onError(I.FORMAT_ERROR,"Flv: AAC invalid channel configuration");return}s===5&&(ee=(t[1]&7)<<1|t[2]>>>7,M=(t[2]&124)>>>2);let we=self.navigator.userAgent.toLowerCase();return we.indexOf("firefox")!==-1?B>=6?(s=5,o=new Array(4),ee=B-3):(s=2,o=new Array(2),ee=B):we.indexOf("android")!==-1?(s=2,o=new Array(2),ee=B):(s=5,ee=B,o=new Array(4),B>=6?ee=B-3:Me===1&&(s=2,o=new Array(2),ee=B)),o[0]=s<<3,o[0]|=(B&15)>>>1,o[1]=(B&15)<<7,o[1]|=(Me&15)<<3,s===5&&(o[1]|=(ee&15)>>>1,o[2]=(ee&1)<<7,o[2]|=8,o[3]=0),{config:o,samplingRate:Ee,channelCount:Me,codec:"mp4a.40."+s,originalCodec:"mp4a.40."+l}}_parseMP3AudioData(e,i,r,t){if(r<4){b.w(this.TAG,"Flv: Invalid MP3 packet, header missing!");return}let o=this._littleEndian,s=new Uint8Array(e,i,r),l=null;if(t){if(s[0]!==255)return;let M=s[1]>>>3&3,B=(s[1]&6)>>1,ee=(s[2]&240)>>>4,Ee=(s[2]&12)>>>2,we=(s[3]>>>6&3)!==3?2:1,Ue=0,Ze=0,Le=34,Ne="mp3";switch(M){case 0:Ue=this._mpegAudioV25SampleRateTable[Ee];break;case 2:Ue=this._mpegAudioV20SampleRateTable[Ee];break;case 3:Ue=this._mpegAudioV10SampleRateTable[Ee];break}switch(B){case 1:Le=34,ee>>4,M=s&15;if(M!==7){this._onError(I.CODEC_UNSUPPORTED,`Flv: Unsupported codec in video frame: ${M}`);return}this._parseAVCVideoPacket(e,i+1,r-1,t,o,l)}_parseAVCVideoPacket(e,i,r,t,o,s){if(r<4){b.w(this.TAG,"Flv: Invalid AVC packet, missing AVCPacketType or/and CompositionTime");return}let l=this._littleEndian,M=new DataView(e,i,r),B=M.getUint8(0),Ee=(M.getUint32(0,!l)&16777215)<<8>>8;if(B===0)this._parseAVCDecoderConfigurationRecord(e,i+4,r-4);else if(B===1)this._parseAVCVideoData(e,i+4,r-4,t,o,s,Ee);else if(B!==2){this._onError(I.FORMAT_ERROR,`Flv: Invalid video packet type ${B}`);return}}_parseAVCDecoderConfigurationRecord(e,i,r){if(r<7){b.w(this.TAG,"Flv: Invalid AVCDecoderConfigurationRecord, lack of data!");return}let t=this._videoMetadata,o=this._videoTrack,s=this._littleEndian,l=new DataView(e,i,r);t?typeof t.avcc!="undefined"&&b.w(this.TAG,"Found another AVCDecoderConfigurationRecord!"):(this._hasVideo===!1&&this._hasVideoFlagOverrided===!1&&(this._hasVideo=!0,this._mediaInfo.hasVideo=!0),t=this._videoMetadata={},t.type="video",t.id=o.id,t.timescale=this._timescale,t.duration=this._duration);let M=l.getUint8(0),B=l.getUint8(1),ee=l.getUint8(2),Ee=l.getUint8(3);if(M!==1||B===0){this._onError(I.FORMAT_ERROR,"Flv: Invalid AVCDecoderConfigurationRecord");return}if(this._naluLengthSize=(l.getUint8(4)&3)+1,this._naluLengthSize!==3&&this._naluLengthSize!==4){this._onError(I.FORMAT_ERROR,`Flv: Strange NaluLengthSizeMinusOne: ${this._naluLengthSize-1}`);return}let Me=l.getUint8(5)&31;if(Me===0){this._onError(I.FORMAT_ERROR,"Flv: Invalid AVCDecoderConfigurationRecord: No SPS");return}else Me>1&&b.w(this.TAG,`Flv: Strange AVCDecoderConfigurationRecord: SPS Count = ${Me}`);let we=6;for(let Ze=0;Ze1&&b.w(this.TAG,`Flv: Strange AVCDecoderConfigurationRecord: PPS Count = ${Ue}`);we++;for(let Ze=0;Ze=r){b.w(this.TAG,`Malformed Nalu near timestamp ${Ue}, offset = ${Me}, dataSize = ${r}`);break}let Le=B.getUint32(Me,!M);if(we===3&&(Le>>>=8),Le>r-we){b.w(this.TAG,`Malformed Nalus near timestamp ${Ue}, NaluSize > DataSize!`);return}let Ne=B.getUint8(Me+we)&31;Ne===5&&(Ze=!0);let R=new Uint8Array(e,i+Me,we+Le),z={type:Ne,data:R};ee.push(z),Ee+=R.byteLength,Me+=we+Le}if(ee.length){let Le=this._videoTrack,Ne={units:ee,length:Ee,isKeyframe:Ze,dts:Ue,cts:l,pts:Ue+l};Ze&&(Ne.fileposition=o),Le.samples.push(Ne),Le.length+=Ee}}}var P=u;class f{static init(){f.types={avc1:[],avcC:[],btrt:[],dinf:[],dref:[],esds:[],ftyp:[],hdlr:[],mdat:[],mdhd:[],mdia:[],mfhd:[],minf:[],moof:[],moov:[],mp4a:[],mvex:[],mvhd:[],sdtp:[],stbl:[],stco:[],stsc:[],stsd:[],stsz:[],stts:[],tfdt:[],tfhd:[],traf:[],trak:[],trun:[],trex:[],tkhd:[],vmhd:[],smhd:[],".mp3":[]};for(let i in f.types)f.types.hasOwnProperty(i)&&(f.types[i]=[i.charCodeAt(0),i.charCodeAt(1),i.charCodeAt(2),i.charCodeAt(3)]);let e=f.constants={};e.FTYP=new Uint8Array([105,115,111,109,0,0,0,1,105,115,111,109,97,118,99,49]),e.STSD_PREFIX=new Uint8Array([0,0,0,0,0,0,0,1]),e.STTS=new Uint8Array([0,0,0,0,0,0,0,0]),e.STSC=e.STCO=e.STTS,e.STSZ=new Uint8Array([0,0,0,0,0,0,0,0,0,0,0,0]),e.HDLR_VIDEO=new Uint8Array([0,0,0,0,0,0,0,0,118,105,100,101,0,0,0,0,0,0,0,0,0,0,0,0,86,105,100,101,111,72,97,110,100,108,101,114,0]),e.HDLR_AUDIO=new Uint8Array([0,0,0,0,0,0,0,0,115,111,117,110,0,0,0,0,0,0,0,0,0,0,0,0,83,111,117,110,100,72,97,110,100,108,101,114,0]),e.DREF=new Uint8Array([0,0,0,0,0,0,0,1,0,0,0,12,117,114,108,32,0,0,0,1]),e.SMHD=new Uint8Array([0,0,0,0,0,0,0,0]),e.VMHD=new Uint8Array([0,0,0,1,0,0,0,0,0,0,0,0])}static box(e){let i=8,r=null,t=Array.prototype.slice.call(arguments,1),o=t.length;for(let l=0;l>>24&255,r[1]=i>>>16&255,r[2]=i>>>8&255,r[3]=i&255,r.set(e,4);let s=8;for(let l=0;l>>24&255,e>>>16&255,e>>>8&255,e&255,i>>>24&255,i>>>16&255,i>>>8&255,i&255,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,64,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,255,255,255,255]))}static trak(e){return f.box(f.types.trak,f.tkhd(e),f.mdia(e))}static tkhd(e){let i=e.id,r=e.duration,t=e.presentWidth,o=e.presentHeight;return f.box(f.types.tkhd,new Uint8Array([0,0,0,7,0,0,0,0,0,0,0,0,i>>>24&255,i>>>16&255,i>>>8&255,i&255,0,0,0,0,r>>>24&255,r>>>16&255,r>>>8&255,r&255,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,64,0,0,0,t>>>8&255,t&255,0,0,o>>>8&255,o&255,0,0]))}static mdia(e){return f.box(f.types.mdia,f.mdhd(e),f.hdlr(e),f.minf(e))}static mdhd(e){let i=e.timescale,r=e.duration;return f.box(f.types.mdhd,new Uint8Array([0,0,0,0,0,0,0,0,0,0,0,0,i>>>24&255,i>>>16&255,i>>>8&255,i&255,r>>>24&255,r>>>16&255,r>>>8&255,r&255,85,196,0,0]))}static hdlr(e){let i=null;return e.type==="audio"?i=f.constants.HDLR_AUDIO:i=f.constants.HDLR_VIDEO,f.box(f.types.hdlr,i)}static minf(e){let i=null;return e.type==="audio"?i=f.box(f.types.smhd,f.constants.SMHD):i=f.box(f.types.vmhd,f.constants.VMHD),f.box(f.types.minf,i,f.dinf(),f.stbl(e))}static dinf(){return f.box(f.types.dinf,f.box(f.types.dref,f.constants.DREF))}static stbl(e){return f.box(f.types.stbl,f.stsd(e),f.box(f.types.stts,f.constants.STTS),f.box(f.types.stsc,f.constants.STSC),f.box(f.types.stsz,f.constants.STSZ),f.box(f.types.stco,f.constants.STCO))}static stsd(e){return e.type==="audio"?e.codec==="mp3"?f.box(f.types.stsd,f.constants.STSD_PREFIX,f.mp3(e)):f.box(f.types.stsd,f.constants.STSD_PREFIX,f.mp4a(e)):f.box(f.types.stsd,f.constants.STSD_PREFIX,f.avc1(e))}static mp3(e){let i=e.channelCount,r=e.audioSampleRate,t=new Uint8Array([0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,i,0,16,0,0,0,0,r>>>8&255,r&255,0,0]);return f.box(f.types[".mp3"],t)}static mp4a(e){let i=e.channelCount,r=e.audioSampleRate,t=new Uint8Array([0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,i,0,16,0,0,0,0,r>>>8&255,r&255,0,0]);return f.box(f.types.mp4a,t,f.esds(e))}static esds(e){let i=e.config||[],r=i.length,t=new Uint8Array([0,0,0,0,3,23+r,0,1,0,4,15+r,64,21,0,0,0,0,0,0,0,0,0,0,0,5].concat([r]).concat(i).concat([6,1,2]));return f.box(f.types.esds,t)}static avc1(e){let i=e.avcc,r=e.codecWidth,t=e.codecHeight,o=new Uint8Array([0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,r>>>8&255,r&255,t>>>8&255,t&255,0,72,0,0,0,72,0,0,0,0,0,0,0,1,10,120,113,113,47,102,108,118,46,106,115,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,24,255,255]);return f.box(f.types.avc1,o,f.box(f.types.avcC,i))}static mvex(e){return f.box(f.types.mvex,f.trex(e))}static trex(e){let i=e.id,r=new Uint8Array([0,0,0,0,i>>>24&255,i>>>16&255,i>>>8&255,i&255,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,1]);return f.box(f.types.trex,r)}static moof(e,i){return f.box(f.types.moof,f.mfhd(e.sequenceNumber),f.traf(e,i))}static mfhd(e){let i=new Uint8Array([0,0,0,0,e>>>24&255,e>>>16&255,e>>>8&255,e&255]);return f.box(f.types.mfhd,i)}static traf(e,i){let r=e.id,t=f.box(f.types.tfhd,new Uint8Array([0,0,0,0,r>>>24&255,r>>>16&255,r>>>8&255,r&255])),o=f.box(f.types.tfdt,new Uint8Array([0,0,0,0,i>>>24&255,i>>>16&255,i>>>8&255,i&255])),s=f.sdtp(e),l=f.trun(e,s.byteLength+16+16+8+16+8+8);return 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"+i.statusText)}}_onProgress(e){if(this._status===p.kError)return;if(this._contentLength===null){let r=!1;if(this._waitForTotalLength){this._waitForTotalLength=!1,this._totalLengthReceived=!0,r=!0;let t=e.total;this._internalAbort(),t!=null&t!==0&&(this._totalLength=t)}if(this._range.to===-1?this._contentLength=this._totalLength-this._range.from:this._contentLength=this._range.to-this._range.from+1,r){this._openSubRange();return}this._onContentLengthKnown&&this._onContentLengthKnown(this._contentLength)}let i=e.loaded-this._lastTimeLoaded;this._lastTimeLoaded=e.loaded,this._speedSampler.addBytes(i)}_normalizeSpeed(e){let i=this._chunkSizeKBList,r=i.length-1,t=0,o=0,s=r;if(e=i[t]&&e=3&&(i=this._speedSampler.currentKBps)),i!==0){let s=this._normalizeSpeed(i);this._currentSpeedNormalized!==s&&(this._currentSpeedNormalized=s,this._currentChunkSizeKB=s)}let r=e.target.response,t=this._range.from+this._receivedLength;this._receivedLength+=r.byteLength;let o=!1;this._contentLength!=null&&this._receivedLength0&&this._receivedLength{this._dispatchArrayBuffer(i.result)},i.readAsArrayBuffer(e.data)}else{this._status=p.kError;let i={code:-1,msg:"Unsupported WebSocket message type: "+e.data.constructor.name};if(this._onError)this._onError(fe.EXCEPTION,i);else throw new J(i.msg)}}_dispatchArrayBuffer(e){let i=e,r=this._receivedLength;this._receivedLength+=i.byteLength,this._onDataArrival&&this._onDataArrival(i,r,this._receivedLength)}_onWebSocketError(e){this._status=p.kError;let i={code:e.code,msg:e.message};if(this._onError)this._onError(fe.EXCEPTION,i);else throw new J(i.msg)}}var Ae=me;class ke{constructor(e){this._zeroStart=e||!1}getConfig(e,i){let r={};if(i.from!==0||i.to!==-1){let t;i.to!==-1?t=`bytes=${i.from.toString()}-${i.to.toString()}`:t=`bytes=${i.from.toString()}-`,r.Range=t}else this._zeroStart&&(r.Range="bytes=0-");return{url:e,headers:r}}removeURLParameters(e){return e}}var Ge=ke;class Z{constructor(e,i){this._startName=e,this._endName=i}getConfig(e,i){let r=e;if(i.from!==0||i.to!==-1){let t=!0;r.indexOf("?")===-1&&(r+="?",t=!1),t&&(r+="&"),r+=`${this._startName}=${i.from.toString()}`,i.to!==-1&&(r+=`&${this._endName}=${i.to.toString()}`)}return{url:r,headers:{}}}removeURLParameters(e){let i=e.split("?")[0],r,t=e.indexOf("?");t!==-1&&(r=e.substring(t+1));let o="";if(r!=null&&r.length>0){let s=r.split("&");for(let l=0;l0;M[0]!==this._startName&&M[0]!==this._endName&&(B&&(o+="&"),o+=s[l])}}return o.length===0?i:i+"?"+o}}var Re=Z;class h{constructor(e,i,r){this.TAG="IOController",this._config=i,this._extraData=r,this._stashInitialSize=1024*384,i.stashInitialSize!=null&&i.stashInitialSize>0&&(this._stashInitialSize=i.stashInitialSize),this._stashUsed=0,this._stashSize=this._stashInitialSize,this._bufferSize=1024*1024*3,this._stashBuffer=new ArrayBuffer(this._bufferSize),this._stashByteStart=0,this._enableStash=!0,i.enableStashBuffer===!1&&(this._enableStash=!1),this._loader=null,this._loaderClass=null,this._seekHandler=null,this._dataSource=e,this._isWebSocketURL=/wss?:\/\/(.+?)/.test(e.url),this._refTotalLength=e.filesize?e.filesize:null,this._totalLength=this._refTotalLength,this._fullRequestFlag=!1,this._currentRange=null,this._redirectedURL=null,this._speedNormalized=0,this._speedSampler=new X,this._speedNormalizeList=[64,128,256,384,512,768,1024,1536,2048,3072,4096],this._isEarlyEofReconnecting=!1,this._paused=!1,this._resumeFrom=0,this._onDataArrival=null,this._onSeeked=null,this._onError=null,this._onComplete=null,this._onRedirect=null,this._onRecoveredEarlyEof=null,this._selectSeekHandler(),this._selectLoader(),this._createLoader()}destroy(){this._loader.isWorking()&&this._loader.abort(),this._loader.destroy(),this._loader=null,this._loaderClass=null,this._dataSource=null,this._stashBuffer=null,this._stashUsed=this._stashSize=this._bufferSize=this._stashByteStart=0,this._currentRange=null,this._speedSampler=null,this._isEarlyEofReconnecting=!1,this._onDataArrival=null,this._onSeeked=null,this._onError=null,this._onComplete=null,this._onRedirect=null,this._onRecoveredEarlyEof=null,this._extraData=null}isWorking(){return this._loader&&this._loader.isWorking()&&!this._paused}isPaused(){return this._paused}get status(){return this._loader.status}get extraData(){return this._extraData}set extraData(e){this._extraData=e}get onDataArrival(){return this._onDataArrival}set onDataArrival(e){this._onDataArrival=e}get onSeeked(){return this._onSeeked}set onSeeked(e){this._onSeeked=e}get onError(){return this._onError}set onError(e){this._onError=e}get onComplete(){return this._onComplete}set onComplete(e){this._onComplete=e}get onRedirect(){return this._onRedirect}set onRedirect(e){this._onRedirect=e}get onRecoveredEarlyEof(){return this._onRecoveredEarlyEof}set onRecoveredEarlyEof(e){this._onRecoveredEarlyEof=e}get currentURL(){return this._dataSource.url}get hasRedirect(){return this._redirectedURL!=null||this._dataSource.redirectedURL!=null}get currentRedirectedURL(){return this._redirectedURL||this._dataSource.redirectedURL}get currentSpeed(){return this._loaderClass===Y?this._loader.currentSpeed:this._speedSampler.lastSecondKBps}get loaderType(){return this._loader.type}_selectSeekHandler(){let e=this._config;if(e.seekType==="range")this._seekHandler=new Ge(this._config.rangeLoadZeroStart);else if(e.seekType==="param"){let i=e.seekParamStart||"bstart",r=e.seekParamEnd||"bend";this._seekHandler=new Re(i,r)}else if(e.seekType==="custom"){if(typeof e.customSeekHandler!="function")throw new Pe("Custom seekType specified in config but invalid customSeekHandler!");this._seekHandler=new e.customSeekHandler}else throw new Pe(`Invalid seekType in config: ${e.seekType}`)}_selectLoader(){if(this._config.customLoader!=null)this._loaderClass=this._config.customLoader;else if(this._isWebSocketURL)this._loaderClass=Ae;else if(K.isSupported())this._loaderClass=K;else if(S.isSupported())this._loaderClass=S;else if(Y.isSupported())this._loaderClass=Y;else throw new J("Your browser doesn't support xhr with arraybuffer responseType!")}_createLoader(){this._loader=new this._loaderClass(this._seekHandler,this._config),this._loader.needStashBuffer===!1&&(this._enableStash=!1),this._loader.onContentLengthKnown=this._onContentLengthKnown.bind(this),this._loader.onURLRedirect=this._onURLRedirect.bind(this),this._loader.onDataArrival=this._onLoaderChunkArrival.bind(this),this._loader.onComplete=this._onLoaderComplete.bind(this),this._loader.onError=this._onLoaderError.bind(this)}open(e){this._currentRange={from:0,to:-1},e&&(this._currentRange.from=e),this._speedSampler.reset(),e||(this._fullRequestFlag=!0),this._loader.open(this._dataSource,Object.assign({},this._currentRange))}abort(){this._loader.abort(),this._paused&&(this._paused=!1,this._resumeFrom=0)}pause(){this.isWorking()&&(this._loader.abort(),this._stashUsed!==0?(this._resumeFrom=this._stashByteStart,this._currentRange.to=this._stashByteStart-1):this._resumeFrom=this._currentRange.to+1,this._stashUsed=0,this._stashByteStart=0,this._paused=!0)}resume(){if(this._paused){this._paused=!1;let e=this._resumeFrom;this._resumeFrom=0,this._internalSeek(e,!0)}}seek(e){this._paused=!1,this._stashUsed=0,this._stashByteStart=0,this._internalSeek(e,!0)}_internalSeek(e,i){this._loader.isWorking()&&this._loader.abort(),this._flushStashBuffer(i),this._loader.destroy(),this._loader=null;let r={from:e,to:-1};this._currentRange={from:r.from,to:-1},this._speedSampler.reset(),this._stashSize=this._stashInitialSize,this._createLoader(),this._loader.open(this._dataSource,r),this._onSeeked&&this._onSeeked()}updateUrl(e){if(!e||typeof e!="string"||e.length===0)throw new Pe("Url must be a non-empty string!");this._dataSource.url=e}_expandBuffer(e){let i=this._stashSize;for(;i+1024*1024*10){let t=new Uint8Array(this._stashBuffer,0,this._stashUsed);new Uint8Array(r,0,i).set(t,0)}this._stashBuffer=r,this._bufferSize=i}_normalizeSpeed(e){let i=this._speedNormalizeList,r=i.length-1,t=0,o=0,s=r;if(e=i[t]&&e=512&&e<=1024?i=Math.floor(e*1.5):i=e*2,i>8192&&(i=8192);let r=i*1024+1024*1024*1;this._bufferSize0){let s=this._stashBuffer.slice(0,this._stashUsed),l=this._dispatchChunks(s,this._stashByteStart);if(l0){let M=new Uint8Array(s,l);o.set(M,0),this._stashUsed=M.byteLength,this._stashByteStart+=l}}else this._stashUsed=0,this._stashByteStart+=l;this._stashUsed+e.byteLength>this._bufferSize&&(this._expandBuffer(this._stashUsed+e.byteLength),o=new Uint8Array(this._stashBuffer,0,this._bufferSize)),o.set(new Uint8Array(e),this._stashUsed),this._stashUsed+=e.byteLength}else{let s=this._dispatchChunks(e,i);if(sthis._bufferSize&&(this._expandBuffer(l),o=new Uint8Array(this._stashBuffer,0,this._bufferSize)),o.set(new Uint8Array(e,s),0),this._stashUsed+=l,this._stashByteStart=i+s}}}else if(this._stashUsed===0){let o=this._dispatchChunks(e,i);if(othis._bufferSize&&this._expandBuffer(s),new Uint8Array(this._stashBuffer,0,this._bufferSize).set(new Uint8Array(e,o),0),this._stashUsed+=s,this._stashByteStart=i+o}}else{this._stashUsed+e.byteLength>this._bufferSize&&this._expandBuffer(this._stashUsed+e.byteLength);let o=new Uint8Array(this._stashBuffer,0,this._bufferSize);o.set(new Uint8Array(e),this._stashUsed),this._stashUsed+=e.byteLength;let s=this._dispatchChunks(this._stashBuffer.slice(0,this._stashUsed),this._stashByteStart);if(s0){let l=new Uint8Array(this._stashBuffer,s);o.set(l,0)}this._stashUsed-=s,this._stashByteStart+=s}}_flushStashBuffer(e){if(this._stashUsed>0){let i=this._stashBuffer.slice(0,this._stashUsed),r=this._dispatchChunks(i,this._stashByteStart),t=i.byteLength-r;if(r0){let o=new Uint8Array(this._stashBuffer,0,this._bufferSize),s=new Uint8Array(i,r);o.set(s,0),this._stashUsed=s.byteLength,this._stashByteStart+=r}return 0}return this._stashUsed=0,this._stashByteStart=0,t}return 0}_onLoaderComplete(e,i){this._flushStashBuffer(!0),this._onComplete&&this._onComplete(this._extraData)}_onLoaderError(e,i){switch(b.e(this.TAG,`Loader error, code = ${i.code}, msg = ${i.msg}`),this._flushStashBuffer(!1),this._isEarlyEofReconnecting&&(this._isEarlyEofReconnecting=!1,e=fe.UNRECOVERABLE_EARLY_EOF),e){case fe.EARLY_EOF:{if(!this._config.isLive&&this._totalLength){let r=this._currentRange.to+1;r0){let i=ie.getConfig();e.emit("change",i)}}static registerListener(e){ie.emitter.addListener("change",e)}static removeListener(e){ie.emitter.removeListener("change",e)}static addLogListener(e){b.emitter.addListener("log",e),b.emitter.listenerCount("log")>0&&(b.ENABLE_CALLBACK=!0,ie._notifyChange())}static removeLogListener(e){b.emitter.removeListener("log",e),b.emitter.listenerCount("log")===0&&(b.ENABLE_CALLBACK=!1,ie._notifyChange())}}ie.emitter=new(F());var j=ie;class Ie{constructor(){this.mimeType=null,this.duration=null,this.hasAudio=null,this.hasVideo=null,this.audioCodec=null,this.videoCodec=null,this.audioDataRate=null,this.videoDataRate=null,this.audioSampleRate=null,this.audioChannelCount=null,this.width=null,this.height=null,this.fps=null,this.profile=null,this.level=null,this.refFrames=null,this.chromaFormat=null,this.sarNum=null,this.sarDen=null,this.metadata=null,this.segments=null,this.segmentCount=null,this.hasKeyframesIndex=null,this.keyframesIndex=null}isComplete(){let e=this.hasAudio===!1||this.hasAudio===!0&&this.audioCodec!=null&&this.audioSampleRate!=null&&this.audioChannelCount!=null,i=this.hasVideo===!1||this.hasVideo===!0&&this.videoCodec!=null&&this.width!=null&&this.height!=null&&this.fps!=null&&this.profile!=null&&this.level!=null&&this.refFrames!=null&&this.chromaFormat!=null&&this.sarNum!=null&&this.sarDen!=null;return this.mimeType!=null&&this.duration!=null&&this.metadata!=null&&this.hasKeyframesIndex!=null&&e&&i}isSeekable(){return this.hasKeyframesIndex===!0}getNearestKeyframe(e){if(this.keyframesIndex==null)return null;let i=this.keyframesIndex,r=this._search(i.times,e);return{index:r,milliseconds:i.times[r],fileposition:i.filepositions[r]}}_search(e,i){let r=0,t=e.length-1,o=0,s=0,l=t;for(i=e[o]&&i=128){e.push(String.fromCharCode(o&65535)),r+=2;continue}}}else if(i[r]<240){if(nt(i,r,2)){let o=(i[r]&15)<<12|(i[r+1]&63)<<6|i[r+2]&63;if(o>=2048&&(o&63488)!==55296){e.push(String.fromCharCode(o&65535)),r+=3;continue}}}else if(i[r]<248&&nt(i,r,3)){let o=(i[r]&7)<<18|(i[r+1]&63)<<12|(i[r+2]&63)<<6|i[r+3]&63;if(o>65536&&o<1114112){o-=65536,e.push(String.fromCharCode(o>>>10|55296)),e.push(String.fromCharCode(o&1023|56320)),r+=4;continue}}}e.push("\uFFFD"),++r}return e.join("")}var qe=mt;let tt=function(){let at=new ArrayBuffer(2);return new DataView(at).setInt16(0,256,!0),new Int16Array(at)[0]===256}();class dt{static parseScriptData(e,i,r){let t={};try{let o=dt.parseValue(e,i,r),s=dt.parseValue(e,i+o.size,r-o.size);t[o.data]=s.data}catch(o){b.e("AMF",o.toString())}return t}static parseObject(e,i,r){if(r<3)throw new O("Data not enough when parse ScriptDataObject");let t=dt.parseString(e,i,r),o=dt.parseValue(e,i+t.size,r-t.size),s=o.objectEnd;return{data:{name:t.data,value:o.data},size:t.size+o.size,objectEnd:s}}static parseVariable(e,i,r){return dt.parseObject(e,i,r)}static parseString(e,i,r){if(r<2)throw new O("Data not enough when parse String");let o=new DataView(e,i,r).getUint16(0,!tt),s;return o>0?s=qe(new Uint8Array(e,i+2,o)):s="",{data:s,size:2+o}}static parseLongString(e,i,r){if(r<4)throw new O("Data not enough when parse LongString");let o=new DataView(e,i,r).getUint32(0,!tt),s;return o>0?s=qe(new Uint8Array(e,i+4,o)):s="",{data:s,size:4+o}}static parseDate(e,i,r){if(r<10)throw new O("Data size invalid when parse Date");let t=new DataView(e,i,r),o=t.getFloat64(0,!tt),s=t.getInt16(8,!tt);return o+=s*60*1e3,{data:new Date(o),size:10}}static parseValue(e,i,r){if(r<1)throw new O("Data not enough when parse Value");let t=new DataView(e,i,r),o=1,s=t.getUint8(0),l,M=!1;try{switch(s){case 0:l=t.getFloat64(1,!tt),o+=8;break;case 1:{l=!!t.getUint8(1),o+=1;break}case 2:{let B=dt.parseString(e,i+1,r-1);l=B.data,o+=B.size;break}case 3:{l={};let B=0;for((t.getUint32(r-4,!tt)&16777215)===9&&(B=3);o32)throw new Pe("ExpGolomb: readBits() bits exceeded max 32bits!");if(e<=this._current_word_bits_left){let s=this._current_word>>>32-e;return this._current_word<<=e,this._current_word_bits_left-=e,s}let i=this._current_word_bits_left?this._current_word:0;i=i>>>32-this._current_word_bits_left;let r=e-this._current_word_bits_left;this._fillCurrentWord();let t=Math.min(r,this._current_word_bits_left),o=this._current_word>>>32-t;return this._current_word<<=t,this._current_word_bits_left-=t,i=i<>>e)return this._current_word<<=e,this._current_word_bits_left-=e,e;return this._fillCurrentWord(),e+this._skipLeadingZero()}readUEG(){let e=this._skipLeadingZero();return this.readBits(e+1)-1}readSEG(){let e=this.readUEG();return e&1?e+1>>>1:-1*(e>>>1)}}var _e=Ce;class G{static _ebsp2rbsp(e){let i=e,r=i.byteLength,t=new Uint8Array(r),o=0;for(let s=0;s=2&&i[s]===3&&i[s-1]===0&&i[s-2]===0||(t[o]=i[s],o++);return new Uint8Array(t.buffer,0,o)}static parseSPS(e){let i=G._ebsp2rbsp(e),r=new _e(i);r.readByte();let t=r.readByte();r.readByte();let o=r.readByte();r.readUEG();let s=G.getProfileString(t),l=G.getLevelString(o),M=1,B=420,ee=[0,420,422,444],Ee=8;if((t===100||t===110||t===122||t===244||t===44||t===83||t===86||t===118||t===128||t===138||t===144)&&(M=r.readUEG(),M===3&&r.readBits(1),M<=3&&(B=ee[M]),Ee=r.readUEG()+8,r.readUEG(),r.readBits(1),r.readBool())){let pt=M!==3?8:12;for(let bt=0;bt0&&pt<16?(De=bt[pt-1],re=Nt[pt-1]):pt===255&&(De=r.readByte()<<8|r.readByte(),re=r.readByte()<<8|r.readByte())}if(r.readBool()&&r.readBool(),r.readBool()&&(r.readBits(4),r.readBool()&&r.readBits(24)),r.readBool()&&(r.readUEG(),r.readUEG()),r.readBool()){let pt=r.readBits(32),bt=r.readBits(32);x=r.readBool(),k=bt,_=pt*2,ue=k/_}}let ye=1;(De!==1||re!==1)&&(ye=De/re);let We=0,je=0;if(M===0)We=1,je=2-Le;else{let pt=M===3?1:2,bt=M===1?2:1;We=pt,je=bt*(2-Le)}let et=(Ue+1)*16,ut=(2-Le)*((Ze+1)*16);et-=(Ne+R)*We,ut-=(z+q)*je;let vt=Math.ceil(et*ye);return r.destroy(),r=null,{profile_string:s,level_string:l,bit_depth:Ee,ref_frames:we,chroma_format:B,chroma_format_string:G.getChromaFormatString(B),frame_rate:{fixed:x,fps:ue,fps_den:_,fps_num:k},sar_ratio:{width:De,height:re},codec_size:{width:et,height:ut},present_size:{width:vt,height:ut}}}static _skipScalingList(e,i){let r=8,t=8,o=0;for(let s=0;s>>8&255|(at&255)<<8}function ne(at){return(at&4278190080)>>>24|(at&16711680)>>>8|(at&65280)<<8|(at&255)<<24}function c(at,e){return at[e]<<24|at[e+1]<<16|at[e+2]<<8|at[e+3]}class u{constructor(e,i){this.TAG="FLVDemuxer",this._config=i,this._onError=null,this._onMediaInfo=null,this._onMetaDataArrived=null,this._onScriptDataArrived=null,this._onTrackMetadata=null,this._onDataAvailable=null,this._dataOffset=e.dataOffset,this._firstParse=!0,this._dispatch=!1,this._hasAudio=e.hasAudioTrack,this._hasVideo=e.hasVideoTrack,this._hasAudioFlagOverrided=!1,this._hasVideoFlagOverrided=!1,this._audioInitialMetadataDispatched=!1,this._videoInitialMetadataDispatched=!1,this._mediaInfo=new Te,this._mediaInfo.hasAudio=this._hasAudio,this._mediaInfo.hasVideo=this._hasVideo,this._metadata=null,this._audioMetadata=null,this._videoMetadata=null,this._naluLengthSize=4,this._timestampBase=0,this._timescale=1e3,this._duration=0,this._durationOverrided=!1,this._referenceFrameRate={fixed:!0,fps:23.976,fps_num:23976,fps_den:1e3},this._flvSoundRateTable=[5500,11025,22050,44100,48e3],this._mpegSamplingRates=[96e3,88200,64e3,48e3,44100,32e3,24e3,22050,16e3,12e3,11025,8e3,7350],this._mpegAudioV10SampleRateTable=[44100,48e3,32e3,0],this._mpegAudioV20SampleRateTable=[22050,24e3,16e3,0],this._mpegAudioV25SampleRateTable=[11025,12e3,8e3,0],this._mpegAudioL1BitRateTable=[0,32,64,96,128,160,192,224,256,288,320,352,384,416,448,-1],this._mpegAudioL2BitRateTable=[0,32,48,56,64,80,96,112,128,160,192,224,256,320,384,-1],this._mpegAudioL3BitRateTable=[0,32,40,48,56,64,80,96,112,128,160,192,224,256,320,-1],this._videoTrack={type:"video",id:1,sequenceNumber:0,samples:[],length:0},this._audioTrack={type:"audio",id:2,sequenceNumber:0,samples:[],length:0},this._littleEndian=function(){let r=new ArrayBuffer(2);return new DataView(r).setInt16(0,256,!0),new Int16Array(r)[0]===256}()}destroy(){this._mediaInfo=null,this._metadata=null,this._audioMetadata=null,this._videoMetadata=null,this._videoTrack=null,this._audioTrack=null,this._onError=null,this._onMediaInfo=null,this._onMetaDataArrived=null,this._onScriptDataArrived=null,this._onTrackMetadata=null,this._onDataAvailable=null}static probe(e){let i=new Uint8Array(e),r={match:!1};if(i[0]!==70||i[1]!==76||i[2]!==86||i[3]!==1)return r;let t=(i[4]&4)>>>2!==0,o=(i[4]&1)!==0,s=c(i,5);return s<9?r:{match:!0,consumed:s,dataOffset:s,hasAudioTrack:t,hasVideoTrack:o}}bindDataSource(e){return e.onDataArrival=this.parseChunks.bind(this),this}get onTrackMetadata(){return this._onTrackMetadata}set onTrackMetadata(e){this._onTrackMetadata=e}get onMediaInfo(){return this._onMediaInfo}set onMediaInfo(e){this._onMediaInfo=e}get onMetaDataArrived(){return this._onMetaDataArrived}set onMetaDataArrived(e){this._onMetaDataArrived=e}get onScriptDataArrived(){return this._onScriptDataArrived}set onScriptDataArrived(e){this._onScriptDataArrived=e}get onError(){return this._onError}set onError(e){this._onError=e}get onDataAvailable(){return this._onDataAvailable}set onDataAvailable(e){this._onDataAvailable=e}get timestampBase(){return this._timestampBase}set timestampBase(e){this._timestampBase=e}get overridedDuration(){return this._duration}set overridedDuration(e){this._durationOverrided=!0,this._duration=e,this._mediaInfo.duration=e}set overridedHasAudio(e){this._hasAudioFlagOverrided=!0,this._hasAudio=e,this._mediaInfo.hasAudio=e}set overridedHasVideo(e){this._hasVideoFlagOverrided=!0,this._hasVideo=e,this._mediaInfo.hasVideo=e}resetMediaInfo(){this._mediaInfo=new Te}_isInitialMetadataDispatched(){return this._hasAudio&&this._hasVideo?this._audioInitialMetadataDispatched&&this._videoInitialMetadataDispatched:this._hasAudio&&!this._hasVideo?this._audioInitialMetadataDispatched:!this._hasAudio&&this._hasVideo?this._videoInitialMetadataDispatched:!1}parseChunks(e,i){if(!this._onError||!this._onMediaInfo||!this._onTrackMetadata||!this._onDataAvailable)throw new O("Flv: onError & onMediaInfo & onTrackMetadata & onDataAvailable callback must be specified");let r=0,t=this._littleEndian;if(i===0)if(e.byteLength>13)r=u.probe(e).dataOffset;else return 0;for(this._firstParse&&(this._firstParse=!1,i+r!==this._dataOffset&&b.w(this.TAG,"First time parsing but chunk byteStart invalid!"),new DataView(e,r).getUint32(0,!t)!==0&&b.w(this.TAG,"PrevTagSize0 !== 0 !!!"),r+=4);re.byteLength)break;let s=o.getUint8(0),l=o.getUint32(0,!t)&16777215;if(r+11+l+4>e.byteLength)break;if(s!==8&&s!==9&&s!==18){b.w(this.TAG,`Unsupported tag type ${s}, skipped`),r+=11+l+4;continue}let M=o.getUint8(4),B=o.getUint8(5),ee=o.getUint8(6),Ee=o.getUint8(7),Me=ee|B<<8|M<<16|Ee<<24;(o.getUint32(7,!t)&16777215)!==0&&b.w(this.TAG,"Meet tag which has StreamID != 0!");let Ue=r+11;switch(s){case 8:this._parseAudioData(e,Ue,l,Me);break;case 9:this._parseVideoData(e,Ue,l,Me,i+r);break;case 18:this._parseScriptData(e,Ue,l);break}let Ze=o.getUint32(11+l,!t);Ze!==11+l&&b.w(this.TAG,`Invalid PrevTagSize ${Ze}`),r+=11+l+4}return this._isInitialMetadataDispatched()&&this._dispatch&&(this._audioTrack.length||this._videoTrack.length)&&this._onDataAvailable(this._audioTrack,this._videoTrack),r}_parseScriptData(e,i,r){let t=Xe.parseScriptData(e,i,r);if(t.hasOwnProperty("onMetaData")){if(t.onMetaData==null||typeof t.onMetaData!="object"){b.w(this.TAG,"Invalid onMetaData structure!");return}this._metadata&&b.w(this.TAG,"Found another onMetaData tag!"),this._metadata=t;let o=this._metadata.onMetaData;if(this._onMetaDataArrived&&this._onMetaDataArrived(Object.assign({},o)),typeof o.hasAudio=="boolean"&&this._hasAudioFlagOverrided===!1&&(this._hasAudio=o.hasAudio,this._mediaInfo.hasAudio=this._hasAudio),typeof o.hasVideo=="boolean"&&this._hasVideoFlagOverrided===!1&&(this._hasVideo=o.hasVideo,this._mediaInfo.hasVideo=this._hasVideo),typeof o.audiodatarate=="number"&&(this._mediaInfo.audioDataRate=o.audiodatarate),typeof o.videodatarate=="number"&&(this._mediaInfo.videoDataRate=o.videodatarate),typeof o.width=="number"&&(this._mediaInfo.width=o.width),typeof o.height=="number"&&(this._mediaInfo.height=o.height),typeof o.duration=="number"){if(!this._durationOverrided){let s=Math.floor(o.duration*this._timescale);this._duration=s,this._mediaInfo.duration=s}}else this._mediaInfo.duration=0;if(typeof o.framerate=="number"){let s=Math.floor(o.framerate*1e3);if(s>0){let l=s/1e3;this._referenceFrameRate.fixed=!0,this._referenceFrameRate.fps=l,this._referenceFrameRate.fps_num=s,this._referenceFrameRate.fps_den=1e3,this._mediaInfo.fps=l}}if(typeof o.keyframes=="object"){this._mediaInfo.hasKeyframesIndex=!0;let s=o.keyframes;this._mediaInfo.keyframesIndex=this._parseKeyframesIndex(s),o.keyframes=null}else this._mediaInfo.hasKeyframesIndex=!1;this._dispatch=!1,this._mediaInfo.metadata=o,b.v(this.TAG,"Parsed onMetaData"),this._mediaInfo.isComplete()&&this._onMediaInfo(this._mediaInfo)}Object.keys(t).length>0&&this._onScriptDataArrived&&this._onScriptDataArrived(Object.assign({},t))}_parseKeyframesIndex(e){let i=[],r=[];for(let t=1;t>>4;if(M!==2&&M!==10){this._onError(I.CODEC_UNSUPPORTED,"Flv: Unsupported audio codec idx: "+M);return}let B=0,ee=(l&12)>>>2;if(ee>=0&&ee<=4)B=this._flvSoundRateTable[ee];else{this._onError(I.FORMAT_ERROR,"Flv: Invalid audio sample rate idx: "+ee);return}let Ee=(l&2)>>>1,Me=l&1,we=this._audioMetadata,Ue=this._audioTrack;if(we||(this._hasAudio===!1&&this._hasAudioFlagOverrided===!1&&(this._hasAudio=!0,this._mediaInfo.hasAudio=!0),we=this._audioMetadata={},we.type="audio",we.id=Ue.id,we.timescale=this._timescale,we.duration=this._duration,we.audioSampleRate=B,we.channelCount=Me===0?1:2),M===10){let Ze=this._parseAACAudioData(e,i+1,r-1);if(Ze==null)return;if(Ze.packetType===0){we.config&&b.w(this.TAG,"Found another AudioSpecificConfig!");let Le=Ze.data;we.audioSampleRate=Le.samplingRate,we.channelCount=Le.channelCount,we.codec=Le.codec,we.originalCodec=Le.originalCodec,we.config=Le.config,we.refSampleDuration=1024/we.audioSampleRate*we.timescale,b.v(this.TAG,"Parsed AudioSpecificConfig"),this._isInitialMetadataDispatched()?this._dispatch&&(this._audioTrack.length||this._videoTrack.length)&&this._onDataAvailable(this._audioTrack,this._videoTrack):this._audioInitialMetadataDispatched=!0,this._dispatch=!1,this._onTrackMetadata("audio",we);let Ne=this._mediaInfo;Ne.audioCodec=we.originalCodec,Ne.audioSampleRate=we.audioSampleRate,Ne.audioChannelCount=we.channelCount,Ne.hasVideo?Ne.videoCodec!=null&&(Ne.mimeType='video/x-flv; codecs="'+Ne.videoCodec+","+Ne.audioCodec+'"'):Ne.mimeType='video/x-flv; codecs="'+Ne.audioCodec+'"',Ne.isComplete()&&this._onMediaInfo(Ne)}else if(Ze.packetType===1){let Le=this._timestampBase+t,Ne={unit:Ze.data,length:Ze.data.byteLength,dts:Le,pts:Le};Ue.samples.push(Ne),Ue.length+=Ze.data.length}else b.e(this.TAG,`Flv: Unsupported AAC data type ${Ze.packetType}`)}else if(M===2){if(!we.codec){let R=this._parseMP3AudioData(e,i+1,r-1,!0);if(R==null)return;we.audioSampleRate=R.samplingRate,we.channelCount=R.channelCount,we.codec=R.codec,we.originalCodec=R.originalCodec,we.refSampleDuration=1152/we.audioSampleRate*we.timescale,b.v(this.TAG,"Parsed MPEG Audio Frame Header"),this._audioInitialMetadataDispatched=!0,this._onTrackMetadata("audio",we);let z=this._mediaInfo;z.audioCodec=we.codec,z.audioSampleRate=we.audioSampleRate,z.audioChannelCount=we.channelCount,z.audioDataRate=R.bitRate,z.hasVideo?z.videoCodec!=null&&(z.mimeType='video/x-flv; codecs="'+z.videoCodec+","+z.audioCodec+'"'):z.mimeType='video/x-flv; codecs="'+z.audioCodec+'"',z.isComplete()&&this._onMediaInfo(z)}let Ze=this._parseMP3AudioData(e,i+1,r-1,!1);if(Ze==null)return;let Le=this._timestampBase+t,Ne={unit:Ze,length:Ze.byteLength,dts:Le,pts:Le};Ue.samples.push(Ne),Ue.length+=Ze.length}}_parseAACAudioData(e,i,r){if(r<=1){b.w(this.TAG,"Flv: Invalid AAC packet, missing AACPacketType or/and Data!");return}let t={},o=new Uint8Array(e,i,r);return t.packetType=o[0],o[0]===0?t.data=this._parseAACAudioSpecificConfig(e,i+1,r-1):t.data=o.subarray(1),t}_parseAACAudioSpecificConfig(e,i,r){let t=new Uint8Array(e,i,r),o=null,s=0,l=0,M=null,B=0,ee=null;if(s=l=t[0]>>>3,B=(t[0]&7)<<1|t[1]>>>7,B<0||B>=this._mpegSamplingRates.length){this._onError(I.FORMAT_ERROR,"Flv: AAC invalid sampling frequency index!");return}let Ee=this._mpegSamplingRates[B],Me=(t[1]&120)>>>3;if(Me<0||Me>=8){this._onError(I.FORMAT_ERROR,"Flv: AAC invalid channel configuration");return}s===5&&(ee=(t[1]&7)<<1|t[2]>>>7,M=(t[2]&124)>>>2);let we=self.navigator.userAgent.toLowerCase();return we.indexOf("firefox")!==-1?B>=6?(s=5,o=new Array(4),ee=B-3):(s=2,o=new Array(2),ee=B):we.indexOf("android")!==-1?(s=2,o=new Array(2),ee=B):(s=5,ee=B,o=new Array(4),B>=6?ee=B-3:Me===1&&(s=2,o=new Array(2),ee=B)),o[0]=s<<3,o[0]|=(B&15)>>>1,o[1]=(B&15)<<7,o[1]|=(Me&15)<<3,s===5&&(o[1]|=(ee&15)>>>1,o[2]=(ee&1)<<7,o[2]|=8,o[3]=0),{config:o,samplingRate:Ee,channelCount:Me,codec:"mp4a.40."+s,originalCodec:"mp4a.40."+l}}_parseMP3AudioData(e,i,r,t){if(r<4){b.w(this.TAG,"Flv: Invalid MP3 packet, header missing!");return}let o=this._littleEndian,s=new Uint8Array(e,i,r),l=null;if(t){if(s[0]!==255)return;let M=s[1]>>>3&3,B=(s[1]&6)>>1,ee=(s[2]&240)>>>4,Ee=(s[2]&12)>>>2,we=(s[3]>>>6&3)!==3?2:1,Ue=0,Ze=0,Le=34,Ne="mp3";switch(M){case 0:Ue=this._mpegAudioV25SampleRateTable[Ee];break;case 2:Ue=this._mpegAudioV20SampleRateTable[Ee];break;case 3:Ue=this._mpegAudioV10SampleRateTable[Ee];break}switch(B){case 1:Le=34,ee>>4,M=s&15;if(M!==7){this._onError(I.CODEC_UNSUPPORTED,`Flv: Unsupported codec in video frame: ${M}`);return}this._parseAVCVideoPacket(e,i+1,r-1,t,o,l)}_parseAVCVideoPacket(e,i,r,t,o,s){if(r<4){b.w(this.TAG,"Flv: Invalid AVC packet, missing AVCPacketType or/and CompositionTime");return}let l=this._littleEndian,M=new DataView(e,i,r),B=M.getUint8(0),Ee=(M.getUint32(0,!l)&16777215)<<8>>8;if(B===0)this._parseAVCDecoderConfigurationRecord(e,i+4,r-4);else if(B===1)this._parseAVCVideoData(e,i+4,r-4,t,o,s,Ee);else if(B!==2){this._onError(I.FORMAT_ERROR,`Flv: Invalid video packet type ${B}`);return}}_parseAVCDecoderConfigurationRecord(e,i,r){if(r<7){b.w(this.TAG,"Flv: Invalid AVCDecoderConfigurationRecord, lack of data!");return}let t=this._videoMetadata,o=this._videoTrack,s=this._littleEndian,l=new DataView(e,i,r);t?typeof t.avcc!="undefined"&&b.w(this.TAG,"Found another AVCDecoderConfigurationRecord!"):(this._hasVideo===!1&&this._hasVideoFlagOverrided===!1&&(this._hasVideo=!0,this._mediaInfo.hasVideo=!0),t=this._videoMetadata={},t.type="video",t.id=o.id,t.timescale=this._timescale,t.duration=this._duration);let M=l.getUint8(0),B=l.getUint8(1),ee=l.getUint8(2),Ee=l.getUint8(3);if(M!==1||B===0){this._onError(I.FORMAT_ERROR,"Flv: Invalid AVCDecoderConfigurationRecord");return}if(this._naluLengthSize=(l.getUint8(4)&3)+1,this._naluLengthSize!==3&&this._naluLengthSize!==4){this._onError(I.FORMAT_ERROR,`Flv: Strange NaluLengthSizeMinusOne: ${this._naluLengthSize-1}`);return}let Me=l.getUint8(5)&31;if(Me===0){this._onError(I.FORMAT_ERROR,"Flv: Invalid AVCDecoderConfigurationRecord: No SPS");return}else Me>1&&b.w(this.TAG,`Flv: Strange AVCDecoderConfigurationRecord: SPS Count = ${Me}`);let we=6;for(let Ze=0;Ze1&&b.w(this.TAG,`Flv: Strange AVCDecoderConfigurationRecord: PPS Count = ${Ue}`);we++;for(let Ze=0;Ze=r){b.w(this.TAG,`Malformed Nalu near timestamp ${Ue}, offset = ${Me}, dataSize = ${r}`);break}let Le=B.getUint32(Me,!M);if(we===3&&(Le>>>=8),Le>r-we){b.w(this.TAG,`Malformed Nalus near timestamp ${Ue}, NaluSize > DataSize!`);return}let Ne=B.getUint8(Me+we)&31;Ne===5&&(Ze=!0);let R=new Uint8Array(e,i+Me,we+Le),z={type:Ne,data:R};ee.push(z),Ee+=R.byteLength,Me+=we+Le}if(ee.length){let Le=this._videoTrack,Ne={units:ee,length:Ee,isKeyframe:Ze,dts:Ue,cts:l,pts:Ue+l};Ze&&(Ne.fileposition=o),Le.samples.push(Ne),Le.length+=Ee}}}var P=u;class f{static init(){f.types={avc1:[],avcC:[],btrt:[],dinf:[],dref:[],esds:[],ftyp:[],hdlr:[],mdat:[],mdhd:[],mdia:[],mfhd:[],minf:[],moof:[],moov:[],mp4a:[],mvex:[],mvhd:[],sdtp:[],stbl:[],stco:[],stsc:[],stsd:[],stsz:[],stts:[],tfdt:[],tfhd:[],traf:[],trak:[],trun:[],trex:[],tkhd:[],vmhd:[],smhd:[],".mp3":[]};for(let i in f.types)f.types.hasOwnProperty(i)&&(f.types[i]=[i.charCodeAt(0),i.charCodeAt(1),i.charCodeAt(2),i.charCodeAt(3)]);let e=f.constants={};e.FTYP=new Uint8Array([105,115,111,109,0,0,0,1,105,115,111,109,97,118,99,49]),e.STSD_PREFIX=new Uint8Array([0,0,0,0,0,0,0,1]),e.STTS=new Uint8Array([0,0,0,0,0,0,0,0]),e.STSC=e.STCO=e.STTS,e.STSZ=new Uint8Array([0,0,0,0,0,0,0,0,0,0,0,0]),e.HDLR_VIDEO=new Uint8Array([0,0,0,0,0,0,0,0,118,105,100,101,0,0,0,0,0,0,0,0,0,0,0,0,86,105,100,101,111,72,97,110,100,108,101,114,0]),e.HDLR_AUDIO=new Uint8Array([0,0,0,0,0,0,0,0,115,111,117,110,0,0,0,0,0,0,0,0,0,0,0,0,83,111,117,110,100,72,97,110,100,108,101,114,0]),e.DREF=new Uint8Array([0,0,0,0,0,0,0,1,0,0,0,12,117,114,108,32,0,0,0,1]),e.SMHD=new Uint8Array([0,0,0,0,0,0,0,0]),e.VMHD=new Uint8Array([0,0,0,1,0,0,0,0,0,0,0,0])}static box(e){let i=8,r=null,t=Array.prototype.slice.call(arguments,1),o=t.length;for(let l=0;l>>24&255,r[1]=i>>>16&255,r[2]=i>>>8&255,r[3]=i&255,r.set(e,4);let s=8;for(let l=0;l>>24&255,e>>>16&255,e>>>8&255,e&255,i>>>24&255,i>>>16&255,i>>>8&255,i&255,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,64,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,255,255,255,255]))}static trak(e){return f.box(f.types.trak,f.tkhd(e),f.mdia(e))}static tkhd(e){let i=e.id,r=e.duration,t=e.presentWidth,o=e.presentHeight;return f.box(f.types.tkhd,new Uint8Array([0,0,0,7,0,0,0,0,0,0,0,0,i>>>24&255,i>>>16&255,i>>>8&255,i&255,0,0,0,0,r>>>24&255,r>>>16&255,r>>>8&255,r&255,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,64,0,0,0,t>>>8&255,t&255,0,0,o>>>8&255,o&255,0,0]))}static mdia(e){return f.box(f.types.mdia,f.mdhd(e),f.hdlr(e),f.minf(e))}static mdhd(e){let i=e.timescale,r=e.duration;return f.box(f.types.mdhd,new Uint8Array([0,0,0,0,0,0,0,0,0,0,0,0,i>>>24&255,i>>>16&255,i>>>8&255,i&255,r>>>24&255,r>>>16&255,r>>>8&255,r&255,85,196,0,0]))}static hdlr(e){let i=null;return e.type==="audio"?i=f.constants.HDLR_AUDIO:i=f.constants.HDLR_VIDEO,f.box(f.types.hdlr,i)}static minf(e){let i=null;return e.type==="audio"?i=f.box(f.types.smhd,f.constants.SMHD):i=f.box(f.types.vmhd,f.constants.VMHD),f.box(f.types.minf,i,f.dinf(),f.stbl(e))}static dinf(){return f.box(f.types.dinf,f.box(f.types.dref,f.constants.DREF))}static stbl(e){return f.box(f.types.stbl,f.stsd(e),f.box(f.types.stts,f.constants.STTS),f.box(f.types.stsc,f.constants.STSC),f.box(f.types.stsz,f.constants.STSZ),f.box(f.types.stco,f.constants.STCO))}static stsd(e){return e.type==="audio"?e.codec==="mp3"?f.box(f.types.stsd,f.constants.STSD_PREFIX,f.mp3(e)):f.box(f.types.stsd,f.constants.STSD_PREFIX,f.mp4a(e)):f.box(f.types.stsd,f.constants.STSD_PREFIX,f.avc1(e))}static mp3(e){let i=e.channelCount,r=e.audioSampleRate,t=new Uint8Array([0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,i,0,16,0,0,0,0,r>>>8&255,r&255,0,0]);return f.box(f.types[".mp3"],t)}static mp4a(e){let i=e.channelCount,r=e.audioSampleRate,t=new Uint8Array([0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,i,0,16,0,0,0,0,r>>>8&255,r&255,0,0]);return f.box(f.types.mp4a,t,f.esds(e))}static esds(e){let i=e.config||[],r=i.length,t=new Uint8Array([0,0,0,0,3,23+r,0,1,0,4,15+r,64,21,0,0,0,0,0,0,0,0,0,0,0,5].concat([r]).concat(i).concat([6,1,2]));return f.box(f.types.esds,t)}static avc1(e){let i=e.avcc,r=e.codecWidth,t=e.codecHeight,o=new Uint8Array([0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,r>>>8&255,r&255,t>>>8&255,t&255,0,72,0,0,0,72,0,0,0,0,0,0,0,1,10,120,113,113,47,102,108,118,46,106,115,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,24,255,255]);return f.box(f.types.avc1,o,f.box(f.types.avcC,i))}static mvex(e){return f.box(f.types.mvex,f.trex(e))}static trex(e){let i=e.id,r=new Uint8Array([0,0,0,0,i>>>24&255,i>>>16&255,i>>>8&255,i&255,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,1]);return f.box(f.types.trex,r)}static moof(e,i){return f.box(f.types.moof,f.mfhd(e.sequenceNumber),f.traf(e,i))}static mfhd(e){let i=new Uint8Array([0,0,0,0,e>>>24&255,e>>>16&255,e>>>8&255,e&255]);return f.box(f.types.mfhd,i)}static traf(e,i){let r=e.id,t=f.box(f.types.tfhd,new Uint8Array([0,0,0,0,r>>>24&255,r>>>16&255,r>>>8&255,r&255])),o=f.box(f.types.tfdt,new Uint8Array([0,0,0,0,i>>>24&255,i>>>16&255,i>>>8&255,i&255])),s=f.sdtp(e),l=f.trun(e,s.byteLength+16+16+8+16+8+8);return f.box(f.types.traf,t,o,l,s)}static sdtp(e){let i=e.samples||[],r=i.length,t=new Uint8Array(4+r);for(let o=0;o>>24&255,t>>>16&255,t>>>8&255,t&255,i>>>24&255,i>>>16&255,i>>>8&255,i&255],0);for(let l=0;l>>24&255,M>>>16&255,M>>>8&255,M&255,B>>>24&255,B>>>16&255,B>>>8&255,B&255,ee.isLeading<<2|ee.dependsOn,ee.isDependedOn<<6|ee.hasRedundancy<<4|ee.isNonSync,0,0,Ee>>>24&255,Ee>>>16&255,Ee>>>8&255,Ee&255],12+16*l)}return f.box(f.types.trun,s)}static mdat(e){return f.box(f.types.mdat,e)}}f.init();var g=f;class Q{static getSilentFrame(e,i){if(e==="mp4a.40.2"){if(i===1)return new Uint8Array([0,200,0,128,35,128]);if(i===2)return new Uint8Array([33,0,73,144,2,25,0,35,128]);if(i===3)return new Uint8Array([0,200,0,128,32,132,1,38,64,8,100,0,142]);if(i===4)return new Uint8Array([0,200,0,128,32,132,1,38,64,8,100,0,128,44,128,8,2,56]);if(i===5)return new Uint8Array([0,200,0,128,32,132,1,38,64,8,100,0,130,48,4,153,0,33,144,2,56]);if(i===6)return new Uint8Array([0,200,0,128,32,132,1,38,64,8,100,0,130,48,4,153,0,33,144,2,0,178,0,32,8,224])}else{if(i===1)return new Uint8Array([1,64,34,128,163,78,230,128,186,8,0,0,0,28,6,241,193,10,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,94]);if(i===2)return new Uint8Array([1,64,34,128,163,94,230,128,186,8,0,0,0,0,149,0,6,241,161,10,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,94]);if(i===3)return new Uint8Array([1,64,34,128,163,94,230,128,186,8,0,0,0,0,149,0,6,241,161,10,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,94])}return null}}var oe=Q;class ve{constructor(e,i,r,t,o){this.dts=e,this.pts=i,this.duration=r,this.originalDts=t,this.isSyncPoint=o,this.fileposition=null}}class Ve{constructor(){this.beginDts=0,this.endDts=0,this.beginPts=0,this.endPts=0,this.originalBeginDts=0,this.originalEndDts=0,this.syncPoints=[],this.firstSample=null,this.lastSample=null}appendSyncPoint(e){e.isSyncPoint=!0,this.syncPoints.push(e)}}class se{constructor(){this._list=[]}clear(){this._list=[]}appendArray(e){let i=this._list;e.length!==0&&(i.length>0&&e[0].originalDts=i[o].dts&&ei[t].lastSample.originalDts&&e=i[t].lastSample.originalDts&&(t===i.length-1||t0&&(o=this._searchNearestSegmentBefore(r.originalBeginDts)+1),this._lastAppendLocation=o,this._list.splice(o,0,r)}getLastSegmentBefore(e){let i=this._searchNearestSegmentBefore(e);return i>=0?this._list[i]:null}getLastSampleBefore(e){let i=this.getLastSegmentBefore(e);return i!=null?i.lastSample:null}getLastSyncPointBefore(e){let i=this._searchNearestSegmentBefore(e),r=this._list[i].syncPoints;for(;r.length===0&&i>0;)i--,r=this._list[i].syncPoints;return r.length>0?r[r.length-1]:null}}class N{constructor(e){this.TAG="MP4Remuxer",this._config=e,this._isLive=e.isLive===!0,this._dtsBase=-1,this._dtsBaseInited=!1,this._audioDtsBase=1/0,this._videoDtsBase=1/0,this._audioNextDts=void 0,this._videoNextDts=void 0,this._audioStashedLastSample=null,this._videoStashedLastSample=null,this._audioMeta=null,this._videoMeta=null,this._audioSegmentInfoList=new Oe("audio"),this._videoSegmentInfoList=new Oe("video"),this._onInitSegment=null,this._onMediaSegment=null,this._forceFirstIDR=!!(ce.chrome&&(ce.version.major<50||ce.version.major===50&&ce.version.build<2661)),this._fillSilentAfterSeek=ce.msedge||ce.msie,this._mp3UseMpegAudio=!ce.firefox,this._fillAudioTimestampGap=this._config.fixAudioTimestampGap}destroy(){this._dtsBase=-1,this._dtsBaseInited=!1,this._audioMeta=null,this._videoMeta=null,this._audioSegmentInfoList.clear(),this._audioSegmentInfoList=null,this._videoSegmentInfoList.clear(),this._videoSegmentInfoList=null,this._onInitSegment=null,this._onMediaSegment=null}bindDataSource(e){return e.onDataAvailable=this.remux.bind(this),e.onTrackMetadata=this._onTrackMetadataReceived.bind(this),this}get onInitSegment(){return this._onInitSegment}set onInitSegment(e){this._onInitSegment=e}get onMediaSegment(){return this._onMediaSegment}set onMediaSegment(e){this._onMediaSegment=e}insertDiscontinuity(){this._audioNextDts=this._videoNextDts=void 0}seek(e){this._audioStashedLastSample=null,this._videoStashedLastSample=null,this._videoSegmentInfoList.clear(),this._audioSegmentInfoList.clear()}remux(e,i){if(!this._onMediaSegment)throw new O("MP4Remuxer: onMediaSegment callback must be specificed!");this._dtsBaseInited||this._calculateDtsBase(e,i),this._remuxVideo(i),this._remuxAudio(e)}_onTrackMetadataReceived(e,i){let r=null,t="mp4",o=i.codec;if(e==="audio")this._audioMeta=i,i.codec==="mp3"&&this._mp3UseMpegAudio?(t="mpeg",o="",r=new Uint8Array):r=g.generateInitSegment(i);else if(e==="video")this._videoMeta=i,r=g.generateInitSegment(i);else return;if(!this._onInitSegment)throw new O("MP4Remuxer: onInitSegment callback must be specified!");this._onInitSegment(e,{type:e,data:r.buffer,codec:o,container:`${e}/${t}`,mediaDuration:i.duration})}_calculateDtsBase(e,i){this._dtsBaseInited||(e.samples&&e.samples.length&&(this._audioDtsBase=e.samples[0].dts),i.samples&&i.samples.length&&(this._videoDtsBase=i.samples[0].dts),this._dtsBase=Math.min(this._audioDtsBase,this._videoDtsBase),this._dtsBaseInited=!0)}flushStashedSamples(){let e=this._videoStashedLastSample,i=this._audioStashedLastSample,r={type:"video",id:1,sequenceNumber:0,samples:[],length:0};e!=null&&(r.samples.push(e),r.length=e.length);let t={type:"audio",id:2,sequenceNumber:0,samples:[],length:0};i!=null&&(t.samples.push(i),t.length=i.length),this._videoStashedLastSample=null,this._audioStashedLastSample=null,this._remuxVideo(r,!0),this._remuxAudio(t,!0)}_remuxAudio(e,i){if(this._audioMeta==null)return;let r=e,t=r.samples,o,s=-1,l=-1,M=-1,B=this._audioMeta.refSampleDuration,ee=this._audioMeta.codec==="mp3"&&this._mp3UseMpegAudio,Ee=this._dtsBaseInited&&this._audioNextDts===void 0,Me=!1;if(!t||t.length===0||t.length===1&&!i)return;let we=0,Ue=null,Ze=0;ee?(we=0,Ze=r.length):(we=8,Ze=8+r.length);let Le=null;if(t.length>1&&(Le=t.pop(),Ze-=Le.length),this._audioStashedLastSample!=null){let re=this._audioStashedLastSample;this._audioStashedLastSample=null,t.unshift(re),Ze+=re.length}Le!=null&&(this._audioStashedLastSample=Le);let Ne=t[0].dts-this._dtsBase;if(this._audioNextDts)o=Ne-this._audioNextDts;else if(this._audioSegmentInfoList.isEmpty())o=0,this._fillSilentAfterSeek&&!this._videoSegmentInfoList.isEmpty()&&this._audioMeta.originalCodec!=="mp3"&&(Me=!0);else{let re=this._audioSegmentInfoList.getLastSampleBefore(Ne);if(re!=null){let ue=Ne-(re.originalDts+re.duration);ue<=3&&(ue=0);let x=re.dts+re.duration+ue;o=Ne-x}else o=0}if(Me){let re=Ne-o,ue=this._videoSegmentInfoList.getLastSegmentBefore(Ne);if(ue!=null&&ue.beginDts=1?pe=R[R.length-1].duration:pe=Math.floor(B);let ye=!1,We=null;if(pe>B*1.5&&this._audioMeta.codec!=="mp3"&&this._fillAudioTimestampGap&&!ce.safari){ye=!0;let je=Math.abs(pe-B),et=Math.ceil(je/B),ut=_+B;b.w(this.TAG,`Large audio timestamp gap detected, may cause AV sync to drift. Silent frames will be generated to avoid unsync. dts: ${_+pe} ms, expected: ${_+Math.round(B)} ms, delta: ${Math.round(je)} ms, generate: ${et} frames`);let vt=oe.getSilentFrame(this._audioMeta.originalCodec,this._audioMeta.channelCount);vt==null&&(b.w(this.TAG,`Unable to generate silent frame for ${this._audioMeta.originalCodec} with ${this._audioMeta.channelCount} channels, repeat last frame`),vt=x),We=[];for(let bt=0;bt0){let lt=We[We.length-1];lt.duration=Nt-lt.dts}let xt={dts:Nt,pts:Nt,cts:0,unit:vt,size:vt.byteLength,duration:0,originalDts:k,flags:{isLeading:0,dependsOn:1,isDependedOn:0,hasRedundancy:0}};We.push(xt),Ze+=xt.size,ut+=B}let pt=We[We.length-1];pt.duration=_+pe-pt.dts,pe=Math.round(B)}R.push({dts:_,pts:_,cts:0,unit:ue.unit,size:ue.unit.byteLength,duration:pe,originalDts:k,flags:{isLeading:0,dependsOn:1,isDependedOn:0,hasRedundancy:0}}),ye&&R.push.apply(R,We)}ee?Ue=new Uint8Array(Ze):(Ue=new Uint8Array(Ze),Ue[0]=Ze>>>24&255,Ue[1]=Ze>>>16&255,Ue[2]=Ze>>>8&255,Ue[3]=Ze&255,Ue.set(g.types.mdat,4));for(let re=0;re1&&(we=t.pop(),Me-=we.length),this._videoStashedLastSample!=null){let z=this._videoStashedLastSample;this._videoStashedLastSample=null,t.unshift(z),Me+=z.length}we!=null&&(this._videoStashedLastSample=we);let Ue=t[0].dts-this._dtsBase;if(this._videoNextDts)o=Ue-this._videoNextDts;else if(this._videoSegmentInfoList.isEmpty())o=0;else{let z=this._videoSegmentInfoList.getLastSampleBefore(Ue);if(z!=null){let q=Ue-(z.originalDts+z.duration);q<=3&&(q=0);let de=z.dts+z.duration+q;o=Ue-de}else o=0}let Ze=new Ve,Le=[];for(let z=0;z=1?k=Le[Le.length-1].duration:k=Math.floor(this._videoMeta.refSampleDuration),De){let _=new ve(re,x,k,q.dts,!0);_.fileposition=q.fileposition,Ze.appendSyncPoint(_)}Le.push({dts:re,pts:x,cts:ue,units:q.units,size:q.length,isKeyframe:De,duration:k,originalDts:de,flags:{isLeading:0,dependsOn:De?2:1,isDependedOn:De?1:0,hasRedundancy:0,isNonSync:De?0:1}})}Ee=new Uint8Array(Me),Ee[0]=Me>>>24&255,Ee[1]=Me>>>16&255,Ee[2]=Me>>>8&255,Ee[3]=Me&255,Ee.set(g.types.mdat,4);for(let z=0;z{t.timestampBase=r,r+=t.duration,t.cors=e.cors,t.withCredentials=e.withCredentials,i.referrerPolicy&&(t.referrerPolicy=i.referrerPolicy)}),!isNaN(r)&&this._mediaDataSource.duration!==r&&(this._mediaDataSource.duration=r),this._mediaInfo=null,this._demuxer=null,this._remuxer=null,this._ioctl=null,this._pendingSeekTime=null,this._pendingResolveSeekPoint=null,this._statisticsReporter=null}destroy(){this._mediaInfo=null,this._mediaDataSource=null,this._statisticsReporter&&this._disableStatisticsReporter(),this._ioctl&&(this._ioctl.destroy(),this._ioctl=null),this._demuxer&&(this._demuxer.destroy(),this._demuxer=null),this._remuxer&&(this._remuxer.destroy(),this._remuxer=null),this._emitter.removeAllListeners(),this._emitter=null}on(e,i){this._emitter.addListener(e,i)}off(e,i){this._emitter.removeListener(e,i)}start(){this._loadSegment(0),this._enableStatisticsReporter()}_loadSegment(e,i){this._currentSegmentIndex=e;let r=this._mediaDataSource.segments[e],t=this._ioctl=new xe(r,this._config,e);t.onError=this._onIOException.bind(this),t.onSeeked=this._onIOSeeked.bind(this),t.onComplete=this._onIOComplete.bind(this),t.onRedirect=this._onIORedirect.bind(this),t.onRecoveredEarlyEof=this._onIORecoveredEarlyEof.bind(this),i?this._demuxer.bindDataSource(this._ioctl):t.onDataArrival=this._onInitChunkArrival.bind(this),t.open(i)}stop(){this._internalAbort(),this._disableStatisticsReporter()}_internalAbort(){this._ioctl&&(this._ioctl.destroy(),this._ioctl=null)}pause(){this._ioctl&&this._ioctl.isWorking()&&(this._ioctl.pause(),this._disableStatisticsReporter())}resume(){this._ioctl&&this._ioctl.isPaused()&&(this._ioctl.resume(),this._enableStatisticsReporter())}seek(e){if(this._mediaInfo==null||!this._mediaInfo.isSeekable())return;let i=this._searchSegmentIndexContains(e);if(i===this._currentSegmentIndex){let r=this._mediaInfo.segments[i];if(r==null)this._pendingSeekTime=e;else{let t=r.getNearestKeyframe(e);this._remuxer.seek(t.milliseconds),this._ioctl.seek(t.fileposition),this._pendingResolveSeekPoint=t.milliseconds}}else{let r=this._mediaInfo.segments[i];if(r==null)this._pendingSeekTime=e,this._internalAbort(),this._remuxer.seek(),this._remuxer.insertDiscontinuity(),this._loadSegment(i);else{let t=r.getNearestKeyframe(e);this._internalAbort(),this._remuxer.seek(e),this._remuxer.insertDiscontinuity(),this._demuxer.resetMediaInfo(),this._demuxer.timestampBase=this._mediaDataSource.segments[i].timestampBase,this._loadSegment(i,t.fileposition),this._pendingResolveSeekPoint=t.milliseconds,this._reportSegmentMediaInfo(i)}}this._enableStatisticsReporter()}_searchSegmentIndexContains(e){let i=this._mediaDataSource.segments,r=i.length-1;for(let t=0;t0)this._demuxer.bindDataSource(this._ioctl),this._demuxer.timestampBase=this._mediaDataSource.segments[this._currentSegmentIndex].timestampBase,t=this._demuxer.parseChunks(e,i);else if((r=P.probe(e)).match){this._demuxer=new P(r,this._config),this._remuxer||(this._remuxer=new ge(this._config));let o=this._mediaDataSource;o.duration!=null&&!isNaN(o.duration)&&(this._demuxer.overridedDuration=o.duration),typeof o.hasAudio=="boolean"&&(this._demuxer.overridedHasAudio=o.hasAudio),typeof o.hasVideo=="boolean"&&(this._demuxer.overridedHasVideo=o.hasVideo),this._demuxer.timestampBase=o.segments[this._currentSegmentIndex].timestampBase,this._demuxer.onError=this._onDemuxException.bind(this),this._demuxer.onMediaInfo=this._onMediaInfo.bind(this),this._demuxer.onMetaDataArrived=this._onMetaDataArrived.bind(this),this._demuxer.onScriptDataArrived=this._onScriptDataArrived.bind(this),this._remuxer.bindDataSource(this._demuxer.bindDataSource(this._ioctl)),this._remuxer.onInitSegment=this._onRemuxerInitSegmentArrival.bind(this),this._remuxer.onMediaSegment=this._onRemuxerMediaSegmentArrival.bind(this),t=this._demuxer.parseChunks(e,i)}else r=null,b.e(this.TAG,"Non-FLV, Unsupported media type!"),Promise.resolve().then(()=>{this._internalAbort()}),this._emitter.emit(W.DEMUX_ERROR,I.FORMAT_UNSUPPORTED,"Non-FLV, Unsupported media type"),t=0;return t}_onMediaInfo(e){this._mediaInfo==null&&(this._mediaInfo=Object.assign({},e),this._mediaInfo.keyframesIndex=null,this._mediaInfo.segments=[],this._mediaInfo.segmentCount=this._mediaDataSource.segments.length,Object.setPrototypeOf(this._mediaInfo,Te.prototype));let i=Object.assign({},e);Object.setPrototypeOf(i,Te.prototype),this._mediaInfo.segments[this._currentSegmentIndex]=i,this._reportSegmentMediaInfo(this._currentSegmentIndex),this._pendingSeekTime!=null&&Promise.resolve().then(()=>{let r=this._pendingSeekTime;this._pendingSeekTime=null,this.seek(r)})}_onMetaDataArrived(e){this._emitter.emit(W.METADATA_ARRIVED,e)}_onScriptDataArrived(e){this._emitter.emit(W.SCRIPTDATA_ARRIVED,e)}_onIOSeeked(){this._remuxer.insertDiscontinuity()}_onIOComplete(e){let r=e+1;r0&&r[0].originalDts===t&&(t=r[0].pts),this._emitter.emit(W.RECOMMEND_SEEKPOINT,t)}}_enableStatisticsReporter(){this._statisticsReporter==null&&(this._statisticsReporter=self.setInterval(this._reportStatisticsInfo.bind(this),this._config.statisticsInfoReportInterval))}_disableStatisticsReporter(){this._statisticsReporter&&(self.clearInterval(this._statisticsReporter),this._statisticsReporter=null)}_reportSegmentMediaInfo(e){let i=this._mediaInfo.segments[e],r=Object.assign({},i);r.duration=this._mediaInfo.duration,r.segmentCount=this._mediaInfo.segmentCount,delete r.segments,delete r.keyframesIndex,this._emitter.emit(W.MEDIA_INFO,r)}_reportStatisticsInfo(){let e={};e.url=this._ioctl.currentURL,e.hasRedirect=this._ioctl.hasRedirect,e.hasRedirect&&(e.redirectedURL=this._ioctl.currentRedirectedURL),e.speed=this._ioctl.currentSpeed,e.loaderType=this._ioctl.loaderType,e.currentSegmentIndex=this._currentSegmentIndex,e.totalSegmentCount=this._mediaDataSource.segments.length,this._emitter.emit(W.STATISTICS_INFO,e)}}var st=Ye,it=function(at){let e="TransmuxingWorker",i=null,r=Ze.bind(this);E.install(),at.addEventListener("message",function(Le){switch(Le.data.cmd){case"init":i=new st(Le.data.param[0],Le.data.param[1]),i.on(W.IO_ERROR,Me.bind(this)),i.on(W.DEMUX_ERROR,we.bind(this)),i.on(W.INIT_SEGMENT,t.bind(this)),i.on(W.MEDIA_SEGMENT,o.bind(this)),i.on(W.LOADING_COMPLETE,s.bind(this)),i.on(W.RECOVERED_EARLY_EOF,l.bind(this)),i.on(W.MEDIA_INFO,M.bind(this)),i.on(W.METADATA_ARRIVED,B.bind(this)),i.on(W.SCRIPTDATA_ARRIVED,ee.bind(this)),i.on(W.STATISTICS_INFO,Ee.bind(this)),i.on(W.RECOMMEND_SEEKPOINT,Ue.bind(this));break;case"destroy":i&&(i.destroy(),i=null),at.postMessage({msg:"destroyed"});break;case"start":i.start();break;case"stop":i.stop();break;case"seek":i.seek(Le.data.param);break;case"pause":i.pause();break;case"resume":i.resume();break;case"logging_config":{let Ne=Le.data.param;j.applyConfig(Ne),Ne.enableCallback===!0?j.addLogListener(r):j.removeLogListener(r);break}}});function t(Le,Ne){let R={msg:W.INIT_SEGMENT,data:{type:Le,data:Ne}};at.postMessage(R,[Ne.data])}function o(Le,Ne){let R={msg:W.MEDIA_SEGMENT,data:{type:Le,data:Ne}};at.postMessage(R,[Ne.data])}function s(){let Le={msg:W.LOADING_COMPLETE};at.postMessage(Le)}function l(){let Le={msg:W.RECOVERED_EARLY_EOF};at.postMessage(Le)}function M(Le){let Ne={msg:W.MEDIA_INFO,data:Le};at.postMessage(Ne)}function B(Le){let Ne={msg:W.METADATA_ARRIVED,data:Le};at.postMessage(Ne)}function ee(Le){let Ne={msg:W.SCRIPTDATA_ARRIVED,data:Le};at.postMessage(Ne)}function Ee(Le){let Ne={msg:W.STATISTICS_INFO,data:Le};at.postMessage(Ne)}function Me(Le,Ne){at.postMessage({msg:W.IO_ERROR,data:{type:Le,info:Ne}})}function we(Le,Ne){at.postMessage({msg:W.DEMUX_ERROR,data:{type:Le,info:Ne}})}function Ue(Le){at.postMessage({msg:W.RECOMMEND_SEEKPOINT,data:Le})}function Ze(Le,Ne){at.postMessage({msg:"logcat_callback",data:{type:Le,logcat:Ne}})}};class yt{constructor(e,i){if(this.TAG="Transmuxer",this._emitter=new(F()),i.enableWorker&&typeof Worker!="undefined")try{let r=a(82059);this._worker=r(it),this._workerDestroying=!1,this._worker.addEventListener("message",this._onWorkerMessage.bind(this)),this._worker.postMessage({cmd:"init",param:[e,i]}),this.e={onLoggingConfigChanged:this._onLoggingConfigChanged.bind(this)},j.registerListener(this.e.onLoggingConfigChanged),this._worker.postMessage({cmd:"logging_config",param:j.getConfig()})}catch(r){b.e(this.TAG,"Error while initialize transmuxing worker, fallback to inline transmuxing"),this._worker=null,this._controller=new st(e,i)}else this._controller=new st(e,i);if(this._controller){let r=this._controller;r.on(W.IO_ERROR,this._onIOError.bind(this)),r.on(W.DEMUX_ERROR,this._onDemuxError.bind(this)),r.on(W.INIT_SEGMENT,this._onInitSegment.bind(this)),r.on(W.MEDIA_SEGMENT,this._onMediaSegment.bind(this)),r.on(W.LOADING_COMPLETE,this._onLoadingComplete.bind(this)),r.on(W.RECOVERED_EARLY_EOF,this._onRecoveredEarlyEof.bind(this)),r.on(W.MEDIA_INFO,this._onMediaInfo.bind(this)),r.on(W.METADATA_ARRIVED,this._onMetaDataArrived.bind(this)),r.on(W.SCRIPTDATA_ARRIVED,this._onScriptDataArrived.bind(this)),r.on(W.STATISTICS_INFO,this._onStatisticsInfo.bind(this)),r.on(W.RECOMMEND_SEEKPOINT,this._onRecommendSeekpoint.bind(this))}}destroy(){this._worker?this._workerDestroying||(this._workerDestroying=!0,this._worker.postMessage({cmd:"destroy"}),j.removeListener(this.e.onLoggingConfigChanged),this.e=null):(this._controller.destroy(),this._controller=null),this._emitter.removeAllListeners(),this._emitter=null}on(e,i){this._emitter.addListener(e,i)}off(e,i){this._emitter.removeListener(e,i)}hasWorker(){return this._worker!=null}open(){this._worker?this._worker.postMessage({cmd:"start"}):this._controller.start()}close(){this._worker?this._worker.postMessage({cmd:"stop"}):this._controller.stop()}seek(e){this._worker?this._worker.postMessage({cmd:"seek",param:e}):this._controller.seek(e)}pause(){this._worker?this._worker.postMessage({cmd:"pause"}):this._controller.pause()}resume(){this._worker?this._worker.postMessage({cmd:"resume"}):this._controller.resume()}_onInitSegment(e,i){Promise.resolve().then(()=>{this._emitter.emit(W.INIT_SEGMENT,e,i)})}_onMediaSegment(e,i){Promise.resolve().then(()=>{this._emitter.emit(W.MEDIA_SEGMENT,e,i)})}_onLoadingComplete(){Promise.resolve().then(()=>{this._emitter.emit(W.LOADING_COMPLETE)})}_onRecoveredEarlyEof(){Promise.resolve().then(()=>{this._emitter.emit(W.RECOVERED_EARLY_EOF)})}_onMediaInfo(e){Promise.resolve().then(()=>{this._emitter.emit(W.MEDIA_INFO,e)})}_onMetaDataArrived(e){Promise.resolve().then(()=>{this._emitter.emit(W.METADATA_ARRIVED,e)})}_onScriptDataArrived(e){Promise.resolve().then(()=>{this._emitter.emit(W.SCRIPTDATA_ARRIVED,e)})}_onStatisticsInfo(e){Promise.resolve().then(()=>{this._emitter.emit(W.STATISTICS_INFO,e)})}_onIOError(e,i){Promise.resolve().then(()=>{this._emitter.emit(W.IO_ERROR,e,i)})}_onDemuxError(e,i){Promise.resolve().then(()=>{this._emitter.emit(W.DEMUX_ERROR,e,i)})}_onRecommendSeekpoint(e){Promise.resolve().then(()=>{this._emitter.emit(W.RECOMMEND_SEEKPOINT,e)})}_onLoggingConfigChanged(e){this._worker&&this._worker.postMessage({cmd:"logging_config",param:e})}_onWorkerMessage(e){let i=e.data,r=i.data;if(i.msg==="destroyed"||this._workerDestroying){this._workerDestroying=!1,this._worker.terminate(),this._worker=null;return}switch(i.msg){case W.INIT_SEGMENT:case W.MEDIA_SEGMENT:this._emitter.emit(i.msg,r.type,r.data);break;case W.LOADING_COMPLETE:case W.RECOVERED_EARLY_EOF:this._emitter.emit(i.msg);break;case W.MEDIA_INFO:Object.setPrototypeOf(r,Te.prototype),this._emitter.emit(i.msg,r);break;case W.METADATA_ARRIVED:case W.SCRIPTDATA_ARRIVED:case W.STATISTICS_INFO:this._emitter.emit(i.msg,r);break;case W.IO_ERROR:case W.DEMUX_ERROR:this._emitter.emit(i.msg,r.type,r.info);break;case W.RECOMMEND_SEEKPOINT:this._emitter.emit(i.msg,r);break;case"logcat_callback":b.emitter.emit("log",r.type,r.logcat);break;default:break}}}var Bt=yt,wt={ERROR:"error",SOURCE_OPEN:"source_open",UPDATE_END:"update_end",BUFFER_FULL:"buffer_full"};class Jt{constructor(e){this.TAG="MSEController",this._config=e,this._emitter=new(F()),this._config.isLive&&this._config.autoCleanupSourceBuffer==null&&(this._config.autoCleanupSourceBuffer=!0),this.e={onSourceOpen:this._onSourceOpen.bind(this),onSourceEnded:this._onSourceEnded.bind(this),onSourceClose:this._onSourceClose.bind(this),onSourceBufferError:this._onSourceBufferError.bind(this),onSourceBufferUpdateEnd:this._onSourceBufferUpdateEnd.bind(this)},this._mediaSource=null,this._mediaSourceObjectURL=null,this._mediaElement=null,this._isBufferFull=!1,this._hasPendingEos=!1,this._requireSetMediaDuration=!1,this._pendingMediaDuration=0,this._pendingSourceBufferInit=[],this._mimeTypes={video:null,audio:null},this._sourceBuffers={video:null,audio:null},this._lastInitSegments={video:null,audio:null},this._pendingSegments={video:[],audio:[]},this._pendingRemoveRanges={video:[],audio:[]},this._idrList=new se}destroy(){(this._mediaElement||this._mediaSource)&&this.detachMediaElement(),this.e=null,this._emitter.removeAllListeners(),this._emitter=null}on(e,i){this._emitter.addListener(e,i)}off(e,i){this._emitter.removeListener(e,i)}attachMediaElement(e){if(this._mediaSource)throw new O("MediaSource has been attached to an HTMLMediaElement!");let i=this._mediaSource=new window.MediaSource;i.addEventListener("sourceopen",this.e.onSourceOpen),i.addEventListener("sourceended",this.e.onSourceEnded),i.addEventListener("sourceclose",this.e.onSourceClose),this._mediaElement=e,this._mediaSourceObjectURL=window.URL.createObjectURL(this._mediaSource),e.src=this._mediaSourceObjectURL}detachMediaElement(){if(this._mediaSource){let e=this._mediaSource;for(let i in this._sourceBuffers){let r=this._pendingSegments[i];r.splice(0,r.length),this._pendingSegments[i]=null,this._pendingRemoveRanges[i]=null,this._lastInitSegments[i]=null;let t=this._sourceBuffers[i];if(t){if(e.readyState!=="closed"){try{e.removeSourceBuffer(t)}catch(o){b.e(this.TAG,o.message)}t.removeEventListener("error",this.e.onSourceBufferError),t.removeEventListener("updateend",this.e.onSourceBufferUpdateEnd)}this._mimeTypes[i]=null,this._sourceBuffers[i]=null}}if(e.readyState==="open")try{e.endOfStream()}catch(i){b.e(this.TAG,i.message)}e.removeEventListener("sourceopen",this.e.onSourceOpen),e.removeEventListener("sourceended",this.e.onSourceEnded),e.removeEventListener("sourceclose",this.e.onSourceClose),this._pendingSourceBufferInit=[],this._isBufferFull=!1,this._idrList.clear(),this._mediaSource=null}this._mediaElement&&(this._mediaElement.src="",this._mediaElement.removeAttribute("src"),this._mediaElement=null),this._mediaSourceObjectURL&&(window.URL.revokeObjectURL(this._mediaSourceObjectURL),this._mediaSourceObjectURL=null)}appendInitSegment(e,i){if(!this._mediaSource||this._mediaSource.readyState!=="open"){this._pendingSourceBufferInit.push(e),this._pendingSegments[e.type].push(e);return}let r=e,t=`${r.container}`;r.codec&&r.codec.length>0&&(t+=`;codecs=${r.codec}`);let o=!1;if(b.v(this.TAG,"Received Initialization Segment, mimeType: "+t),this._lastInitSegments[r.type]=r,t!==this._mimeTypes[r.type]){if(this._mimeTypes[r.type])b.v(this.TAG,`Notice: ${r.type} mimeType changed, origin: ${this._mimeTypes[r.type]}, target: ${t}`);else{o=!0;try{let s=this._sourceBuffers[r.type]=this._mediaSource.addSourceBuffer(t);s.addEventListener("error",this.e.onSourceBufferError),s.addEventListener("updateend",this.e.onSourceBufferUpdateEnd)}catch(s){b.e(this.TAG,s.message),this._emitter.emit(wt.ERROR,{code:s.code,msg:s.message});return}}this._mimeTypes[r.type]=t}i||this._pendingSegments[r.type].push(r),o||this._sourceBuffers[r.type]&&!this._sourceBuffers[r.type].updating&&this._doAppendSegments(),ce.safari&&r.container==="audio/mpeg"&&r.mediaDuration>0&&(this._requireSetMediaDuration=!0,this._pendingMediaDuration=r.mediaDuration/1e3,this._updateMediaSourceDuration())}appendMediaSegment(e){let i=e;this._pendingSegments[i.type].push(i),this._config.autoCleanupSourceBuffer&&this._needCleanupSourceBuffer()&&this._doCleanupSourceBuffer();let r=this._sourceBuffers[i.type];r&&!r.updating&&!this._hasPendingRemoveRanges()&&this._doAppendSegments()}seek(e){for(let i in this._sourceBuffers){if(!this._sourceBuffers[i])continue;let r=this._sourceBuffers[i];if(this._mediaSource.readyState==="open")try{r.abort()}catch(o){b.e(this.TAG,o.message)}this._idrList.clear();let t=this._pendingSegments[i];if(t.splice(0,t.length),this._mediaSource.readyState!=="closed"){for(let o=0;o=1&&e-t.start(0)>=this._config.autoCleanupMaxBackwardDuration)return!0}}return!1}_doCleanupSourceBuffer(){let e=this._mediaElement.currentTime;for(let i in this._sourceBuffers){let r=this._sourceBuffers[i];if(r){let t=r.buffered,o=!1;for(let s=0;s=this._config.autoCleanupMaxBackwardDuration){o=!0;let B=e-this._config.autoCleanupMinBackwardDuration;this._pendingRemoveRanges[i].push({start:l,end:B})}}else M0&&(isNaN(i)||r>i)&&(b.v(this.TAG,`Update MediaSource duration from ${i} to ${r}`),this._mediaSource.duration=r),this._requireSetMediaDuration=!1,this._pendingMediaDuration=0}_doRemoveRanges(){for(let e in this._pendingRemoveRanges){if(!this._sourceBuffers[e]||this._sourceBuffers[e].updating)continue;let i=this._sourceBuffers[e],r=this._pendingRemoveRanges[e];for(;r.length&&!i.updating;){let t=r.shift();i.remove(t.start,t.end)}}}_doAppendSegments(){let e=this._pendingSegments;for(let i in e)if(!(!this._sourceBuffers[i]||this._sourceBuffers[i].updating)&&e[i].length>0){let r=e[i].shift();if(r.timestampOffset){let t=this._sourceBuffers[i].timestampOffset,o=r.timestampOffset/1e3;Math.abs(t-o)>.1&&(b.v(this.TAG,`Update MPEG audio timestampOffset from ${t} to ${o}`),this._sourceBuffers[i].timestampOffset=o),delete r.timestampOffset}if(!r.data||r.data.byteLength===0)continue;try{this._sourceBuffers[i].appendBuffer(r.data),this._isBufferFull=!1,i==="video"&&r.hasOwnProperty("info")&&this._idrList.appendArray(r.info.syncPoints)}catch(t){this._pendingSegments[i].unshift(r),t.code===22?(this._isBufferFull||this._emitter.emit(wt.BUFFER_FULL),this._isBufferFull=!0):(b.e(this.TAG,t.message),this._emitter.emit(wt.ERROR,{code:t.code,msg:t.message}))}}}_onSourceOpen(){if(b.v(this.TAG,"MediaSource onSourceOpen"),this._mediaSource.removeEventListener("sourceopen",this.e.onSourceOpen),this._pendingSourceBufferInit.length>0){let e=this._pendingSourceBufferInit;for(;e.length;){let i=e.shift();this.appendInitSegment(i,!0)}}this._hasPendingSegments()&&this._doAppendSegments(),this._emitter.emit(wt.SOURCE_OPEN)}_onSourceEnded(){b.v(this.TAG,"MediaSource onSourceEnded")}_onSourceClose(){b.v(this.TAG,"MediaSource onSourceClose"),this._mediaSource&&this.e!=null&&(this._mediaSource.removeEventListener("sourceopen",this.e.onSourceOpen),this._mediaSource.removeEventListener("sourceended",this.e.onSourceEnded),this._mediaSource.removeEventListener("sourceclose",this.e.onSourceClose))}_hasPendingSegments(){let e=this._pendingSegments;return e.video.length>0||e.audio.length>0}_hasPendingRemoveRanges(){let e=this._pendingRemoveRanges;return e.video.length>0||e.audio.length>0}_onSourceBufferUpdateEnd(){this._requireSetMediaDuration?this._updateMediaSourceDuration():this._hasPendingRemoveRanges()?this._doRemoveRanges():this._hasPendingSegments()?this._doAppendSegments():this._hasPendingEos&&this.endOfStream(),this._emitter.emit(wt.UPDATE_END)}_onSourceBufferError(e){b.e(this.TAG,`SourceBuffer Error: ${e}`)}}var Gt=Jt;const ht={NETWORK_ERROR:"NetworkError",MEDIA_ERROR:"MediaError",OTHER_ERROR:"OtherError"},Ot={NETWORK_EXCEPTION:fe.EXCEPTION,NETWORK_STATUS_CODE_INVALID:fe.HTTP_STATUS_CODE_INVALID,NETWORK_TIMEOUT:fe.CONNECTING_TIMEOUT,NETWORK_UNRECOVERABLE_EARLY_EOF:fe.UNRECOVERABLE_EARLY_EOF,MEDIA_MSE_ERROR:"MediaMSEError",MEDIA_FORMAT_ERROR:I.FORMAT_ERROR,MEDIA_FORMAT_UNSUPPORTED:I.FORMAT_UNSUPPORTED,MEDIA_CODEC_UNSUPPORTED:I.CODEC_UNSUPPORTED};class Vt{constructor(e,i){if(this.TAG="FlvPlayer",this._type="FlvPlayer",this._emitter=new(F()),this._config=U(),typeof i=="object"&&Object.assign(this._config,i),e.type.toLowerCase()!=="flv")throw new Pe("FlvPlayer requires an flv MediaDataSource input!");e.isLive===!0&&(this._config.isLive=!0),this.e={onvLoadedMetadata:this._onvLoadedMetadata.bind(this),onvSeeking:this._onvSeeking.bind(this),onvCanPlay:this._onvCanPlay.bind(this),onvStalled:this._onvStalled.bind(this),onvProgress:this._onvProgress.bind(this)},self.performance&&self.performance.now?this._now=self.performance.now.bind(self.performance):this._now=Date.now,this._pendingSeekTime=null,this._requestSetTime=!1,this._seekpointRecord=null,this._progressChecker=null,this._mediaDataSource=e,this._mediaElement=null,this._msectl=null,this._transmuxer=null,this._mseSourceOpened=!1,this._hasPendingLoad=!1,this._receivedCanPlay=!1,this._mediaInfo=null,this._statisticsInfo=null;let r=ce.chrome&&(ce.version.major<50||ce.version.major===50&&ce.version.build<2661);this._alwaysSeekKeyframe=!!(r||ce.msedge||ce.msie),this._alwaysSeekKeyframe&&(this._config.accurateSeek=!1)}destroy(){this._progressChecker!=null&&(window.clearInterval(this._progressChecker),this._progressChecker=null),this._transmuxer&&this.unload(),this._mediaElement&&this.detachMediaElement(),this.e=null,this._mediaDataSource=null,this._emitter.removeAllListeners(),this._emitter=null}on(e,i){e===le.MEDIA_INFO?this._mediaInfo!=null&&Promise.resolve().then(()=>{this._emitter.emit(le.MEDIA_INFO,this.mediaInfo)}):e===le.STATISTICS_INFO&&this._statisticsInfo!=null&&Promise.resolve().then(()=>{this._emitter.emit(le.STATISTICS_INFO,this.statisticsInfo)}),this._emitter.addListener(e,i)}off(e,i){this._emitter.removeListener(e,i)}attachMediaElement(e){if(this._mediaElement=e,e.addEventListener("loadedmetadata",this.e.onvLoadedMetadata),e.addEventListener("seeking",this.e.onvSeeking),e.addEventListener("canplay",this.e.onvCanPlay),e.addEventListener("stalled",this.e.onvStalled),e.addEventListener("progress",this.e.onvProgress),this._msectl=new Gt(this._config),this._msectl.on(wt.UPDATE_END,this._onmseUpdateEnd.bind(this)),this._msectl.on(wt.BUFFER_FULL,this._onmseBufferFull.bind(this)),this._msectl.on(wt.SOURCE_OPEN,()=>{this._mseSourceOpened=!0,this._hasPendingLoad&&(this._hasPendingLoad=!1,this.load())}),this._msectl.on(wt.ERROR,i=>{this._emitter.emit(le.ERROR,ht.MEDIA_ERROR,Ot.MEDIA_MSE_ERROR,i)}),this._msectl.attachMediaElement(e),this._pendingSeekTime!=null)try{e.currentTime=this._pendingSeekTime,this._pendingSeekTime=null}catch(i){}}detachMediaElement(){this._mediaElement&&(this._msectl.detachMediaElement(),this._mediaElement.removeEventListener("loadedmetadata",this.e.onvLoadedMetadata),this._mediaElement.removeEventListener("seeking",this.e.onvSeeking),this._mediaElement.removeEventListener("canplay",this.e.onvCanPlay),this._mediaElement.removeEventListener("stalled",this.e.onvStalled),this._mediaElement.removeEventListener("progress",this.e.onvProgress),this._mediaElement=null),this._msectl&&(this._msectl.destroy(),this._msectl=null)}load(){if(!this._mediaElement)throw new O("HTMLMediaElement must be attached before load()!");if(this._transmuxer)throw new O("FlvPlayer.load() has been called, please call unload() first!");if(!this._hasPendingLoad){if(this._config.deferLoadAfterSourceOpen&&this._mseSourceOpened===!1){this._hasPendingLoad=!0;return}this._mediaElement.readyState>0&&(this._requestSetTime=!0,this._mediaElement.currentTime=0),this._transmuxer=new Bt(this._mediaDataSource,this._config),this._transmuxer.on(W.INIT_SEGMENT,(e,i)=>{this._msectl.appendInitSegment(i)}),this._transmuxer.on(W.MEDIA_SEGMENT,(e,i)=>{if(this._msectl.appendMediaSegment(i),this._config.lazyLoad&&!this._config.isLive){let r=this._mediaElement.currentTime;i.info.endDts>=(r+this._config.lazyLoadMaxDuration)*1e3&&this._progressChecker==null&&(b.v(this.TAG,"Maximum buffering duration exceeded, suspend transmuxing task"),this._suspendTransmuxer())}}),this._transmuxer.on(W.LOADING_COMPLETE,()=>{this._msectl.endOfStream(),this._emitter.emit(le.LOADING_COMPLETE)}),this._transmuxer.on(W.RECOVERED_EARLY_EOF,()=>{this._emitter.emit(le.RECOVERED_EARLY_EOF)}),this._transmuxer.on(W.IO_ERROR,(e,i)=>{this._emitter.emit(le.ERROR,ht.NETWORK_ERROR,e,i)}),this._transmuxer.on(W.DEMUX_ERROR,(e,i)=>{this._emitter.emit(le.ERROR,ht.MEDIA_ERROR,e,{code:-1,msg:i})}),this._transmuxer.on(W.MEDIA_INFO,e=>{this._mediaInfo=e,this._emitter.emit(le.MEDIA_INFO,Object.assign({},e))}),this._transmuxer.on(W.METADATA_ARRIVED,e=>{this._emitter.emit(le.METADATA_ARRIVED,e)}),this._transmuxer.on(W.SCRIPTDATA_ARRIVED,e=>{this._emitter.emit(le.SCRIPTDATA_ARRIVED,e)}),this._transmuxer.on(W.STATISTICS_INFO,e=>{this._statisticsInfo=this._fillStatisticsInfo(e),this._emitter.emit(le.STATISTICS_INFO,Object.assign({},this._statisticsInfo))}),this._transmuxer.on(W.RECOMMEND_SEEKPOINT,e=>{this._mediaElement&&!this._config.accurateSeek&&(this._requestSetTime=!0,this._mediaElement.currentTime=e/1e3)}),this._transmuxer.open()}}unload(){this._mediaElement&&this._mediaElement.pause(),this._msectl&&this._msectl.seek(0),this._transmuxer&&(this._transmuxer.close(),this._transmuxer.destroy(),this._transmuxer=null)}play(){return this._mediaElement.play()}pause(){this._mediaElement.pause()}get type(){return this._type}get buffered(){return this._mediaElement.buffered}get duration(){return this._mediaElement.duration}get volume(){return this._mediaElement.volume}set volume(e){this._mediaElement.volume=e}get muted(){return this._mediaElement.muted}set muted(e){this._mediaElement.muted=e}get currentTime(){return this._mediaElement?this._mediaElement.currentTime:0}set currentTime(e){this._mediaElement?this._internalSeek(e):this._pendingSeekTime=e}get mediaInfo(){return Object.assign({},this._mediaInfo)}get statisticsInfo(){return this._statisticsInfo==null&&(this._statisticsInfo={}),this._statisticsInfo=this._fillStatisticsInfo(this._statisticsInfo),Object.assign({},this._statisticsInfo)}_fillStatisticsInfo(e){if(e.playerType=this._type,!(this._mediaElement instanceof HTMLVideoElement))return e;let i=!0,r=0,t=0;if(this._mediaElement.getVideoPlaybackQuality){let o=this._mediaElement.getVideoPlaybackQuality();r=o.totalVideoFrames,t=o.droppedVideoFrames}else this._mediaElement.webkitDecodedFrameCount!=null?(r=this._mediaElement.webkitDecodedFrameCount,t=this._mediaElement.webkitDroppedFrameCount):i=!1;return i&&(e.decodedFrames=r,e.droppedFrames=t),e}_onmseUpdateEnd(){if(!this._config.lazyLoad||this._config.isLive)return;let e=this._mediaElement.buffered,i=this._mediaElement.currentTime,r=0,t=0;for(let o=0;o=i+this._config.lazyLoadMaxDuration&&this._progressChecker==null&&(b.v(this.TAG,"Maximum buffering duration exceeded, suspend transmuxing task"),this._suspendTransmuxer())}_onmseBufferFull(){b.v(this.TAG,"MSE SourceBuffer is full, suspend transmuxing task"),this._progressChecker==null&&this._suspendTransmuxer()}_suspendTransmuxer(){this._transmuxer&&(this._transmuxer.pause(),this._progressChecker==null&&(this._progressChecker=window.setInterval(this._checkProgressAndResume.bind(this),1e3)))}_checkProgressAndResume(){let 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"+L.statusText)}).catch(L=>{if(this._status=d.kError,this._onError)this._onError(re.EXCEPTION,{code:-1,msg:L.message});else throw L})}abort(){this._requestAbort=!0}_pump(e){return e.read().then(t=>{if(t.done)if(this._contentLength!==null&&this._receivedLength{if(t.code===11&&K.msedge)return;this._status=d.kError;let n=0,r=null;if((t.code===19||t.message==="network error")&&(this._contentLength===null||this._contentLength!==null&&this._receivedLength299))if(this._status=d.kError,this._onError)this._onError(re.HTTP_STATUS_CODE_INVALID,{code:t.status,msg:t.statusText});else throw new oe("MozChunkedLoader: Http code invalid, "+t.status+" "+t.statusText);else this._status=d.kBuffering}}_onProgress(e){if(this._status===d.kError)return;this._contentLength===null&&e.total!==null&&e.total!==0&&(this._contentLength=e.total,this._onContentLengthKnown&&this._onContentLengthKnown(this._contentLength));let t=e.target.response,n=this._range.from+this._receivedLength;this._receivedLength+=t.byteLength,this._onDataArrival&&this._onDataArrival(t,n,this._receivedLength)}_onLoadEnd(e){if(this._requestAbort===!0){this._requestAbort=!1;return}else if(this._status===d.kError)return;this._status=d.kComplete,this._onComplete&&this._onComplete(this._range.from,this._range.from+this._receivedLength-1)}_onXhrError(e){this._status=d.kError;let t=0,n=null;if(this._contentLength&&e.loaded=200&&t.status<=299){if(this._status=LoaderStatus.kBuffering,t.responseURL!=null){let r=this._seekHandler.removeURLParameters(t.responseURL);t.responseURL!==this._currentRequestURL&&r!==this._currentRedirectedURL&&(this._currentRedirectedURL=r,this._onURLRedirect&&this._onURLRedirect(r))}let n=t.getResponseHeader("Content-Length");if(n!=null&&this._contentLength==null){let r=parseInt(n);r>0&&(this._contentLength=r,this._onContentLengthKnown&&this._onContentLengthKnown(this._contentLength))}}else if(this._status=LoaderStatus.kError,this._onError)this._onError(LoaderErrors.HTTP_STATUS_CODE_INVALID,{code:t.status,msg:t.statusText});else throw new RuntimeException("MSStreamLoader: Http code invalid, "+t.status+" "+t.statusText);else if(t.readyState===3&&t.status>=200&&t.status<=299){this._status=LoaderStatus.kBuffering;let n=t.response;this._reader.readAsArrayBuffer(n)}}_xhrOnError(e){this._status=LoaderStatus.kError;let t=LoaderErrors.EXCEPTION,n={code:-1,msg:e.constructor.name+" "+e.type};if(this._onError)this._onError(t,n);else throw new RuntimeException(n.msg)}_msrOnProgress(e){let n=e.target.result;if(n==null){this._doReconnectIfNeeded();return}let r=n.slice(this._lastTimeBufferSize);this._lastTimeBufferSize=n.byteLength;let s=this._totalRange.from+this._receivedLength;this._receivedLength+=r.byteLength,this._onDataArrival&&this._onDataArrival(r,s,this._receivedLength),n.byteLength>=this._bufferLimit&&(Log.v(this.TAG,`MSStream buffer exceeded max size near ${s+r.byteLength}, reconnecting...`),this._doReconnectIfNeeded())}_doReconnectIfNeeded(){if(this._contentLength==null||this._receivedLength=this._contentLength&&(n=this._range.from+this._contentLength-1),this._currentRequestRange={from:t,to:n},this._internalOpen(this._dataSource,this._currentRequestRange)}_internalOpen(e,t){this._lastTimeLoaded=0;let n=e.url;this._config.reuseRedirectedURL&&(this._currentRedirectedURL!=null?n=this._currentRedirectedURL:e.redirectedURL!=null&&(n=e.redirectedURL));let r=this._seekHandler.getConfig(n,t);this._currentRequestURL=r.url;let s=this._xhr=new XMLHttpRequest;if(s.open("GET",r.url,!0),s.responseType="arraybuffer",s.onreadystatechange=this._onReadyStateChange.bind(this),s.onprogress=this._onProgress.bind(this),s.onload=this._onLoad.bind(this),s.onerror=this._onXhrError.bind(this),e.withCredentials&&(s.withCredentials=!0),typeof r.headers=="object"){let S=r.headers;for(let L in S)S.hasOwnProperty(L)&&s.setRequestHeader(L,S[L])}if(typeof this._config.headers=="object"){let S=this._config.headers;for(let L in S)S.hasOwnProperty(L)&&s.setRequestHeader(L,S[L])}s.send()}abort(){this._requestAbort=!0,this._internalAbort(),this._status=d.kComplete}_internalAbort(){this._xhr&&(this._xhr.onreadystatechange=null,this._xhr.onprogress=null,this._xhr.onload=null,this._xhr.onerror=null,this._xhr.abort(),this._xhr=null)}_onReadyStateChange(e){let t=e.target;if(t.readyState===2){if(t.responseURL!=null){let n=this._seekHandler.removeURLParameters(t.responseURL);t.responseURL!==this._currentRequestURL&&n!==this._currentRedirectedURL&&(this._currentRedirectedURL=n,this._onURLRedirect&&this._onURLRedirect(n))}if(t.status>=200&&t.status<=299){if(this._waitForTotalLength)return;this._status=d.kBuffering}else if(this._status=d.kError,this._onError)this._onError(re.HTTP_STATUS_CODE_INVALID,{code:t.status,msg:t.statusText});else throw new oe("RangeLoader: Http code invalid, "+t.status+" "+t.statusText)}}_onProgress(e){if(this._status===d.kError)return;if(this._contentLength===null){let n=!1;if(this._waitForTotalLength){this._waitForTotalLength=!1,this._totalLengthReceived=!0,n=!0;let r=e.total;this._internalAbort(),r!=null&r!==0&&(this._totalLength=r)}if(this._range.to===-1?this._contentLength=this._totalLength-this._range.from:this._contentLength=this._range.to-this._range.from+1,n){this._openSubRange();return}this._onContentLengthKnown&&this._onContentLengthKnown(this._contentLength)}let t=e.loaded-this._lastTimeLoaded;this._lastTimeLoaded=e.loaded,this._speedSampler.addBytes(t)}_normalizeSpeed(e){let t=this._chunkSizeKBList,n=t.length-1,r=0,s=0,S=n;if(e=t[r]&&e=3&&(t=this._speedSampler.currentKBps)),t!==0){let S=this._normalizeSpeed(t);this._currentSpeedNormalized!==S&&(this._currentSpeedNormalized=S,this._currentChunkSizeKB=S)}let n=e.target.response,r=this._range.from+this._receivedLength;this._receivedLength+=n.byteLength;let s=!1;this._contentLength!=null&&this._receivedLength0&&this._receivedLength{this._dispatchArrayBuffer(t.result)},t.readAsArrayBuffer(e.data)}else{this._status=d.kError;let t={code:-1,msg:"Unsupported WebSocket message type: "+e.data.constructor.name};if(this._onError)this._onError(re.EXCEPTION,t);else throw new oe(t.msg)}}_dispatchArrayBuffer(e){let t=e,n=this._receivedLength;this._receivedLength+=t.byteLength,this._onDataArrival&&this._onDataArrival(t,n,this._receivedLength)}_onWebSocketError(e){this._status=d.kError;let t={code:e.code,msg:e.message};if(this._onError)this._onError(re.EXCEPTION,t);else throw new oe(t.msg)}}var he=Q;class D{constructor(e){this._zeroStart=e||!1}getConfig(e,t){let n={};if(t.from!==0||t.to!==-1){let r;t.to!==-1?r=`bytes=${t.from.toString()}-${t.to.toString()}`:r=`bytes=${t.from.toString()}-`,n.Range=r}else this._zeroStart&&(n.Range="bytes=0-");return{url:e,headers:n}}removeURLParameters(e){return e}}var be=D;class R{constructor(e,t){this._startName=e,this._endName=t}getConfig(e,t){let n=e;if(t.from!==0||t.to!==-1){let r=!0;n.indexOf("?")===-1&&(n+="?",r=!1),r&&(n+="&"),n+=`${this._startName}=${t.from.toString()}`,t.to!==-1&&(n+=`&${this._endName}=${t.to.toString()}`)}return{url:n,headers:{}}}removeURLParameters(e){let t=e.split("?")[0],n,r=e.indexOf("?");r!==-1&&(n=e.substring(r+1));let s="";if(n!=null&&n.length>0){let S=n.split("&");for(let L=0;L0;Ie[0]!==this._startName&&Ie[0]!==this._endName&&(Se&&(s+="&"),s+=S[L])}}return s.length===0?t:t+"?"+s}}var P=R;class v{constructor(e,t,n){this.TAG="IOController",this._config=t,this._extraData=n,this._stashInitialSize=1024*384,t.stashInitialSize!=null&&t.stashInitialSize>0&&(this._stashInitialSize=t.stashInitialSize),this._stashUsed=0,this._stashSize=this._stashInitialSize,this._bufferSize=1024*1024*3,this._stashBuffer=new ArrayBuffer(this._bufferSize),this._stashByteStart=0,this._enableStash=!0,t.enableStashBuffer===!1&&(this._enableStash=!1),this._loader=null,this._loaderClass=null,this._seekHandler=null,this._dataSource=e,this._isWebSocketURL=/wss?:\/\/(.+?)/.test(e.url),this._refTotalLength=e.filesize?e.filesize:null,this._totalLength=this._refTotalLength,this._fullRequestFlag=!1,this._currentRange=null,this._redirectedURL=null,this._speedNormalized=0,this._speedSampler=new se,this._speedNormalizeList=[64,128,256,384,512,768,1024,1536,2048,3072,4096],this._isEarlyEofReconnecting=!1,this._paused=!1,this._resumeFrom=0,this._onDataArrival=null,this._onSeeked=null,this._onError=null,this._onComplete=null,this._onRedirect=null,this._onRecoveredEarlyEof=null,this._selectSeekHandler(),this._selectLoader(),this._createLoader()}destroy(){this._loader.isWorking()&&this._loader.abort(),this._loader.destroy(),this._loader=null,this._loaderClass=null,this._dataSource=null,this._stashBuffer=null,this._stashUsed=this._stashSize=this._bufferSize=this._stashByteStart=0,this._currentRange=null,this._speedSampler=null,this._isEarlyEofReconnecting=!1,this._onDataArrival=null,this._onSeeked=null,this._onError=null,this._onComplete=null,this._onRedirect=null,this._onRecoveredEarlyEof=null,this._extraData=null}isWorking(){return this._loader&&this._loader.isWorking()&&!this._paused}isPaused(){return this._paused}get status(){return this._loader.status}get extraData(){return this._extraData}set extraData(e){this._extraData=e}get onDataArrival(){return this._onDataArrival}set onDataArrival(e){this._onDataArrival=e}get onSeeked(){return this._onSeeked}set onSeeked(e){this._onSeeked=e}get onError(){return this._onError}set onError(e){this._onError=e}get onComplete(){return this._onComplete}set onComplete(e){this._onComplete=e}get onRedirect(){return this._onRedirect}set onRedirect(e){this._onRedirect=e}get onRecoveredEarlyEof(){return this._onRecoveredEarlyEof}set onRecoveredEarlyEof(e){this._onRecoveredEarlyEof=e}get currentURL(){return this._dataSource.url}get hasRedirect(){return this._redirectedURL!=null||this._dataSource.redirectedURL!=null}get currentRedirectedURL(){return this._redirectedURL||this._dataSource.redirectedURL}get currentSpeed(){return this._loaderClass===ne?this._loader.currentSpeed:this._speedSampler.lastSecondKBps}get loaderType(){return this._loader.type}_selectSeekHandler(){let e=this._config;if(e.seekType==="range")this._seekHandler=new be(this._config.rangeLoadZeroStart);else if(e.seekType==="param"){let t=e.seekParamStart||"bstart",n=e.seekParamEnd||"bend";this._seekHandler=new P(t,n)}else if(e.seekType==="custom"){if(typeof e.customSeekHandler!="function")throw new ue("Custom seekType specified in config but invalid customSeekHandler!");this._seekHandler=new e.customSeekHandler}else throw new ue(`Invalid seekType in config: ${e.seekType}`)}_selectLoader(){if(this._config.customLoader!=null)this._loaderClass=this._config.customLoader;else if(this._isWebSocketURL)this._loaderClass=he;else if(M.isSupported())this._loaderClass=M;else if(C.isSupported())this._loaderClass=C;else if(ne.isSupported())this._loaderClass=ne;else throw new oe("Your browser doesn't support xhr with arraybuffer responseType!")}_createLoader(){this._loader=new this._loaderClass(this._seekHandler,this._config),this._loader.needStashBuffer===!1&&(this._enableStash=!1),this._loader.onContentLengthKnown=this._onContentLengthKnown.bind(this),this._loader.onURLRedirect=this._onURLRedirect.bind(this),this._loader.onDataArrival=this._onLoaderChunkArrival.bind(this),this._loader.onComplete=this._onLoaderComplete.bind(this),this._loader.onError=this._onLoaderError.bind(this)}open(e){this._currentRange={from:0,to:-1},e&&(this._currentRange.from=e),this._speedSampler.reset(),e||(this._fullRequestFlag=!0),this._loader.open(this._dataSource,Object.assign({},this._currentRange))}abort(){this._loader.abort(),this._paused&&(this._paused=!1,this._resumeFrom=0)}pause(){this.isWorking()&&(this._loader.abort(),this._stashUsed!==0?(this._resumeFrom=this._stashByteStart,this._currentRange.to=this._stashByteStart-1):this._resumeFrom=this._currentRange.to+1,this._stashUsed=0,this._stashByteStart=0,this._paused=!0)}resume(){if(this._paused){this._paused=!1;let e=this._resumeFrom;this._resumeFrom=0,this._internalSeek(e,!0)}}seek(e){this._paused=!1,this._stashUsed=0,this._stashByteStart=0,this._internalSeek(e,!0)}_internalSeek(e,t){this._loader.isWorking()&&this._loader.abort(),this._flushStashBuffer(t),this._loader.destroy(),this._loader=null;let n={from:e,to:-1};this._currentRange={from:n.from,to:-1},this._speedSampler.reset(),this._stashSize=this._stashInitialSize,this._createLoader(),this._loader.open(this._dataSource,n),this._onSeeked&&this._onSeeked()}updateUrl(e){if(!e||typeof e!="string"||e.length===0)throw new ue("Url must be a non-empty string!");this._dataSource.url=e}_expandBuffer(e){let t=this._stashSize;for(;t+1024*1024*10){let r=new Uint8Array(this._stashBuffer,0,this._stashUsed);new Uint8Array(n,0,t).set(r,0)}this._stashBuffer=n,this._bufferSize=t}_normalizeSpeed(e){let t=this._speedNormalizeList,n=t.length-1,r=0,s=0,S=n;if(e=t[r]&&e=512&&e<=1024?t=Math.floor(e*1.5):t=e*2,t>8192&&(t=8192);let n=t*1024+1024*1024*1;this._bufferSize0){let S=this._stashBuffer.slice(0,this._stashUsed),L=this._dispatchChunks(S,this._stashByteStart);if(L0){let Ie=new Uint8Array(S,L);s.set(Ie,0),this._stashUsed=Ie.byteLength,this._stashByteStart+=L}}else this._stashUsed=0,this._stashByteStart+=L;this._stashUsed+e.byteLength>this._bufferSize&&(this._expandBuffer(this._stashUsed+e.byteLength),s=new Uint8Array(this._stashBuffer,0,this._bufferSize)),s.set(new Uint8Array(e),this._stashUsed),this._stashUsed+=e.byteLength}else{let S=this._dispatchChunks(e,t);if(Sthis._bufferSize&&(this._expandBuffer(L),s=new Uint8Array(this._stashBuffer,0,this._bufferSize)),s.set(new Uint8Array(e,S),0),this._stashUsed+=L,this._stashByteStart=t+S}}}else if(this._stashUsed===0){let s=this._dispatchChunks(e,t);if(sthis._bufferSize&&this._expandBuffer(S),new Uint8Array(this._stashBuffer,0,this._bufferSize).set(new Uint8Array(e,s),0),this._stashUsed+=S,this._stashByteStart=t+s}}else{this._stashUsed+e.byteLength>this._bufferSize&&this._expandBuffer(this._stashUsed+e.byteLength);let s=new Uint8Array(this._stashBuffer,0,this._bufferSize);s.set(new Uint8Array(e),this._stashUsed),this._stashUsed+=e.byteLength;let S=this._dispatchChunks(this._stashBuffer.slice(0,this._stashUsed),this._stashByteStart);if(S0){let L=new Uint8Array(this._stashBuffer,S);s.set(L,0)}this._stashUsed-=S,this._stashByteStart+=S}}_flushStashBuffer(e){if(this._stashUsed>0){let t=this._stashBuffer.slice(0,this._stashUsed),n=this._dispatchChunks(t,this._stashByteStart),r=t.byteLength-n;if(n0){let s=new Uint8Array(this._stashBuffer,0,this._bufferSize),S=new Uint8Array(t,n);s.set(S,0),this._stashUsed=S.byteLength,this._stashByteStart+=n}return 0}return this._stashUsed=0,this._stashByteStart=0,r}return 0}_onLoaderComplete(e,t){this._flushStashBuffer(!0),this._onComplete&&this._onComplete(this._extraData)}_onLoaderError(e,t){switch(f.e(this.TAG,`Loader error, code = ${t.code}, msg = ${t.msg}`),this._flushStashBuffer(!1),this._isEarlyEofReconnecting&&(this._isEarlyEofReconnecting=!1,e=re.UNRECOVERABLE_EARLY_EOF),e){case re.EARLY_EOF:{if(!this._config.isLive&&this._totalLength){let n=this._currentRange.to+1;n0){let t=ee.getConfig();e.emit("change",t)}}static registerListener(e){ee.emitter.addListener("change",e)}static removeListener(e){ee.emitter.removeListener("change",e)}static addLogListener(e){f.emitter.addListener("log",e),f.emitter.listenerCount("log")>0&&(f.ENABLE_CALLBACK=!0,ee._notifyChange())}static removeLogListener(e){f.emitter.removeListener("log",e),f.emitter.listenerCount("log")===0&&(f.ENABLE_CALLBACK=!1,ee._notifyChange())}}ee.emitter=new(q());var ie=ee;class ge{constructor(){this.mimeType=null,this.duration=null,this.hasAudio=null,this.hasVideo=null,this.audioCodec=null,this.videoCodec=null,this.audioDataRate=null,this.videoDataRate=null,this.audioSampleRate=null,this.audioChannelCount=null,this.width=null,this.height=null,this.fps=null,this.profile=null,this.level=null,this.refFrames=null,this.chromaFormat=null,this.sarNum=null,this.sarDen=null,this.metadata=null,this.segments=null,this.segmentCount=null,this.hasKeyframesIndex=null,this.keyframesIndex=null}isComplete(){let e=this.hasAudio===!1||this.hasAudio===!0&&this.audioCodec!=null&&this.audioSampleRate!=null&&this.audioChannelCount!=null,t=this.hasVideo===!1||this.hasVideo===!0&&this.videoCodec!=null&&this.width!=null&&this.height!=null&&this.fps!=null&&this.profile!=null&&this.level!=null&&this.refFrames!=null&&this.chromaFormat!=null&&this.sarNum!=null&&this.sarDen!=null;return this.mimeType!=null&&this.duration!=null&&this.metadata!=null&&this.hasKeyframesIndex!=null&&e&&t}isSeekable(){return this.hasKeyframesIndex===!0}getNearestKeyframe(e){if(this.keyframesIndex==null)return null;let t=this.keyframesIndex,n=this._search(t.times,e);return{index:n,milliseconds:t.times[n],fileposition:t.filepositions[n]}}_search(e,t){let n=0,r=e.length-1,s=0,S=0,L=r;for(t=e[s]&&t=128){e.push(String.fromCharCode(s&65535)),n+=2;continue}}}else if(t[n]<240){if(Pe(t,n,2)){let s=(t[n]&15)<<12|(t[n+1]&63)<<6|t[n+2]&63;if(s>=2048&&(s&63488)!==55296){e.push(String.fromCharCode(s&65535)),n+=3;continue}}}else if(t[n]<248&&Pe(t,n,3)){let s=(t[n]&7)<<18|(t[n+1]&63)<<12|(t[n+2]&63)<<6|t[n+3]&63;if(s>65536&&s<1114112){s-=65536,e.push(String.fromCharCode(s>>>10|55296)),e.push(String.fromCharCode(s&1023|56320)),n+=4;continue}}}e.push("\uFFFD"),++n}return e.join("")}var Je=xe;let ke=function(){let pe=new ArrayBuffer(2);return new DataView(pe).setInt16(0,256,!0),new Int16Array(pe)[0]===256}();class ze{static parseScriptData(e,t,n){let r={};try{let s=ze.parseValue(e,t,n),S=ze.parseValue(e,t+s.size,n-s.size);r[s.data]=S.data}catch(s){f.e("AMF",s.toString())}return r}static parseObject(e,t,n){if(n<3)throw new _e("Data not enough when parse ScriptDataObject");let r=ze.parseString(e,t,n),s=ze.parseValue(e,t+r.size,n-r.size),S=s.objectEnd;return{data:{name:r.data,value:s.data},size:r.size+s.size,objectEnd:S}}static parseVariable(e,t,n){return ze.parseObject(e,t,n)}static parseString(e,t,n){if(n<2)throw new _e("Data not enough when parse String");let s=new DataView(e,t,n).getUint16(0,!ke),S;return s>0?S=Je(new Uint8Array(e,t+2,s)):S="",{data:S,size:2+s}}static parseLongString(e,t,n){if(n<4)throw new _e("Data not enough when parse LongString");let s=new DataView(e,t,n).getUint32(0,!ke),S;return s>0?S=Je(new Uint8Array(e,t+4,s)):S="",{data:S,size:4+s}}static parseDate(e,t,n){if(n<10)throw new _e("Data size invalid when parse Date");let r=new DataView(e,t,n),s=r.getFloat64(0,!ke),S=r.getInt16(8,!ke);return s+=S*60*1e3,{data:new Date(s),size:10}}static parseValue(e,t,n){if(n<1)throw new _e("Data not enough when parse Value");let r=new DataView(e,t,n),s=1,S=r.getUint8(0),L,Ie=!1;try{switch(S){case 0:L=r.getFloat64(1,!ke),s+=8;break;case 1:{L=!!r.getUint8(1),s+=1;break}case 2:{let Se=ze.parseString(e,t+1,n-1);L=Se.data,s+=Se.size;break}case 3:{L={};let Se=0;for((r.getUint32(n-4,!ke)&16777215)===9&&(Se=3);s32)throw new ue("ExpGolomb: readBits() bits exceeded max 32bits!");if(e<=this._current_word_bits_left){let S=this._current_word>>>32-e;return this._current_word<<=e,this._current_word_bits_left-=e,S}let t=this._current_word_bits_left?this._current_word:0;t=t>>>32-this._current_word_bits_left;let n=e-this._current_word_bits_left;this._fillCurrentWord();let r=Math.min(n,this._current_word_bits_left),s=this._current_word>>>32-r;return this._current_word<<=r,this._current_word_bits_left-=r,t=t<>>e)return this._current_word<<=e,this._current_word_bits_left-=e,e;return this._fillCurrentWord(),e+this._skipLeadingZero()}readUEG(){let e=this._skipLeadingZero();return this.readBits(e+1)-1}readSEG(){let e=this.readUEG();return e&1?e+1>>>1:-1*(e>>>1)}}var we=G;class h{static _ebsp2rbsp(e){let t=e,n=t.byteLength,r=new Uint8Array(n),s=0;for(let S=0;S=2&&t[S]===3&&t[S-1]===0&&t[S-2]===0||(r[s]=t[S],s++);return new Uint8Array(r.buffer,0,s)}static parseSPS(e){let t=h._ebsp2rbsp(e),n=new we(t);n.readByte();let r=n.readByte();n.readByte();let s=n.readByte();n.readUEG();let S=h.getProfileString(r),L=h.getLevelString(s),Ie=1,Se=420,Oe=[0,420,422,444],tt=8;if((r===100||r===110||r===122||r===244||r===44||r===83||r===86||r===118||r===128||r===138||r===144)&&(Ie=n.readUEG(),Ie===3&&n.readBits(1),Ie<=3&&(Se=Oe[Ie]),tt=n.readUEG()+8,n.readUEG(),n.readBits(1),n.readBool())){let bt=Ie!==3?8:12;for(let _t=0;_t0&&bt<16?(It=_t[bt-1],Ye=wt[bt-1]):bt===255&&(It=n.readByte()<<8|n.readByte(),Ye=n.readByte()<<8|n.readByte())}if(n.readBool()&&n.readBool(),n.readBool()&&(n.readBits(4),n.readBool()&&n.readBits(24)),n.readBool()&&(n.readUEG(),n.readUEG()),n.readBool()){let bt=n.readBits(32),_t=n.readBits(32);j=n.readBool(),W=_t,de=bt*2,Xe=W/de}}let ye=1;(It!==1||Ye!==1)&&(ye=It/Ye);let $e=0,De=0;if(Ie===0)$e=1,De=2-Re;else{let bt=Ie===3?1:2,_t=Ie===1?2:1;$e=bt,De=_t*(2-Re)}let ct=(ut+1)*16,St=(2-Re)*((We+1)*16);ct-=(Me+Qe)*$e,St-=(qe+gt)*De;let ft=Math.ceil(ct*ye);return n.destroy(),n=null,{profile_string:S,level_string:L,bit_depth:tt,ref_frames:Ze,chroma_format:Se,chroma_format_string:h.getChromaFormatString(Se),frame_rate:{fixed:j,fps:Xe,fps_den:de,fps_num:W},sar_ratio:{width:It,height:Ye},codec_size:{width:ct,height:St},present_size:{width:ft,height:St}}}static _skipScalingList(e,t){let n=8,r=8,s=0;for(let S=0;S>>8&255|(pe&255)<<8}function z(pe){return(pe&4278190080)>>>24|(pe&16711680)>>>8|(pe&65280)<<8|(pe&255)<<24}function E(pe,e){return pe[e]<<24|pe[e+1]<<16|pe[e+2]<<8|pe[e+3]}class l{constructor(e,t){this.TAG="FLVDemuxer",this._config=t,this._onError=null,this._onMediaInfo=null,this._onMetaDataArrived=null,this._onScriptDataArrived=null,this._onTrackMetadata=null,this._onDataAvailable=null,this._dataOffset=e.dataOffset,this._firstParse=!0,this._dispatch=!1,this._hasAudio=e.hasAudioTrack,this._hasVideo=e.hasVideoTrack,this._hasAudioFlagOverrided=!1,this._hasVideoFlagOverrided=!1,this._audioInitialMetadataDispatched=!1,this._videoInitialMetadataDispatched=!1,this._mediaInfo=new Ae,this._mediaInfo.hasAudio=this._hasAudio,this._mediaInfo.hasVideo=this._hasVideo,this._metadata=null,this._audioMetadata=null,this._videoMetadata=null,this._naluLengthSize=4,this._timestampBase=0,this._timescale=1e3,this._duration=0,this._durationOverrided=!1,this._referenceFrameRate={fixed:!0,fps:23.976,fps_num:23976,fps_den:1e3},this._flvSoundRateTable=[5500,11025,22050,44100,48e3],this._mpegSamplingRates=[96e3,88200,64e3,48e3,44100,32e3,24e3,22050,16e3,12e3,11025,8e3,7350],this._mpegAudioV10SampleRateTable=[44100,48e3,32e3,0],this._mpegAudioV20SampleRateTable=[22050,24e3,16e3,0],this._mpegAudioV25SampleRateTable=[11025,12e3,8e3,0],this._mpegAudioL1BitRateTable=[0,32,64,96,128,160,192,224,256,288,320,352,384,416,448,-1],this._mpegAudioL2BitRateTable=[0,32,48,56,64,80,96,112,128,160,192,224,256,320,384,-1],this._mpegAudioL3BitRateTable=[0,32,40,48,56,64,80,96,112,128,160,192,224,256,320,-1],this._videoTrack={type:"video",id:1,sequenceNumber:0,samples:[],length:0},this._audioTrack={type:"audio",id:2,sequenceNumber:0,samples:[],length:0},this._littleEndian=function(){let n=new ArrayBuffer(2);return new DataView(n).setInt16(0,256,!0),new Int16Array(n)[0]===256}()}destroy(){this._mediaInfo=null,this._metadata=null,this._audioMetadata=null,this._videoMetadata=null,this._videoTrack=null,this._audioTrack=null,this._onError=null,this._onMediaInfo=null,this._onMetaDataArrived=null,this._onScriptDataArrived=null,this._onTrackMetadata=null,this._onDataAvailable=null}static probe(e){let t=new Uint8Array(e),n={match:!1};if(t[0]!==70||t[1]!==76||t[2]!==86||t[3]!==1)return n;let r=(t[4]&4)>>>2!==0,s=(t[4]&1)!==0,S=E(t,5);return S<9?n:{match:!0,consumed:S,dataOffset:S,hasAudioTrack:r,hasVideoTrack:s}}bindDataSource(e){return e.onDataArrival=this.parseChunks.bind(this),this}get onTrackMetadata(){return this._onTrackMetadata}set onTrackMetadata(e){this._onTrackMetadata=e}get onMediaInfo(){return this._onMediaInfo}set onMediaInfo(e){this._onMediaInfo=e}get onMetaDataArrived(){return this._onMetaDataArrived}set onMetaDataArrived(e){this._onMetaDataArrived=e}get onScriptDataArrived(){return this._onScriptDataArrived}set onScriptDataArrived(e){this._onScriptDataArrived=e}get onError(){return this._onError}set onError(e){this._onError=e}get onDataAvailable(){return this._onDataAvailable}set onDataAvailable(e){this._onDataAvailable=e}get timestampBase(){return this._timestampBase}set timestampBase(e){this._timestampBase=e}get overridedDuration(){return this._duration}set overridedDuration(e){this._durationOverrided=!0,this._duration=e,this._mediaInfo.duration=e}set overridedHasAudio(e){this._hasAudioFlagOverrided=!0,this._hasAudio=e,this._mediaInfo.hasAudio=e}set overridedHasVideo(e){this._hasVideoFlagOverrided=!0,this._hasVideo=e,this._mediaInfo.hasVideo=e}resetMediaInfo(){this._mediaInfo=new Ae}_isInitialMetadataDispatched(){return this._hasAudio&&this._hasVideo?this._audioInitialMetadataDispatched&&this._videoInitialMetadataDispatched:this._hasAudio&&!this._hasVideo?this._audioInitialMetadataDispatched:!this._hasAudio&&this._hasVideo?this._videoInitialMetadataDispatched:!1}parseChunks(e,t){if(!this._onError||!this._onMediaInfo||!this._onTrackMetadata||!this._onDataAvailable)throw new _e("Flv: onError & onMediaInfo & onTrackMetadata & onDataAvailable callback must be specified");let n=0,r=this._littleEndian;if(t===0)if(e.byteLength>13)n=l.probe(e).dataOffset;else return 0;for(this._firstParse&&(this._firstParse=!1,t+n!==this._dataOffset&&f.w(this.TAG,"First time parsing but chunk byteStart invalid!"),new DataView(e,n).getUint32(0,!r)!==0&&f.w(this.TAG,"PrevTagSize0 !== 0 !!!"),n+=4);ne.byteLength)break;let S=s.getUint8(0),L=s.getUint32(0,!r)&16777215;if(n+11+L+4>e.byteLength)break;if(S!==8&&S!==9&&S!==18){f.w(this.TAG,`Unsupported tag type ${S}, skipped`),n+=11+L+4;continue}let Ie=s.getUint8(4),Se=s.getUint8(5),Oe=s.getUint8(6),tt=s.getUint8(7),at=Oe|Se<<8|Ie<<16|tt<<24;(s.getUint32(7,!r)&16777215)!==0&&f.w(this.TAG,"Meet tag which has StreamID != 0!");let ut=n+11;switch(S){case 8:this._parseAudioData(e,ut,L,at);break;case 9:this._parseVideoData(e,ut,L,at,t+n);break;case 18:this._parseScriptData(e,ut,L);break}let We=s.getUint32(11+L,!r);We!==11+L&&f.w(this.TAG,`Invalid PrevTagSize ${We}`),n+=11+L+4}return this._isInitialMetadataDispatched()&&this._dispatch&&(this._audioTrack.length||this._videoTrack.length)&&this._onDataAvailable(this._audioTrack,this._videoTrack),n}_parseScriptData(e,t,n){let r=je.parseScriptData(e,t,n);if(r.hasOwnProperty("onMetaData")){if(r.onMetaData==null||typeof r.onMetaData!="object"){f.w(this.TAG,"Invalid onMetaData structure!");return}this._metadata&&f.w(this.TAG,"Found another onMetaData tag!"),this._metadata=r;let s=this._metadata.onMetaData;if(this._onMetaDataArrived&&this._onMetaDataArrived(Object.assign({},s)),typeof s.hasAudio=="boolean"&&this._hasAudioFlagOverrided===!1&&(this._hasAudio=s.hasAudio,this._mediaInfo.hasAudio=this._hasAudio),typeof s.hasVideo=="boolean"&&this._hasVideoFlagOverrided===!1&&(this._hasVideo=s.hasVideo,this._mediaInfo.hasVideo=this._hasVideo),typeof s.audiodatarate=="number"&&(this._mediaInfo.audioDataRate=s.audiodatarate),typeof s.videodatarate=="number"&&(this._mediaInfo.videoDataRate=s.videodatarate),typeof s.width=="number"&&(this._mediaInfo.width=s.width),typeof s.height=="number"&&(this._mediaInfo.height=s.height),typeof s.duration=="number"){if(!this._durationOverrided){let S=Math.floor(s.duration*this._timescale);this._duration=S,this._mediaInfo.duration=S}}else this._mediaInfo.duration=0;if(typeof s.framerate=="number"){let S=Math.floor(s.framerate*1e3);if(S>0){let L=S/1e3;this._referenceFrameRate.fixed=!0,this._referenceFrameRate.fps=L,this._referenceFrameRate.fps_num=S,this._referenceFrameRate.fps_den=1e3,this._mediaInfo.fps=L}}if(typeof s.keyframes=="object"){this._mediaInfo.hasKeyframesIndex=!0;let S=s.keyframes;this._mediaInfo.keyframesIndex=this._parseKeyframesIndex(S),s.keyframes=null}else this._mediaInfo.hasKeyframesIndex=!1;this._dispatch=!1,this._mediaInfo.metadata=s,f.v(this.TAG,"Parsed onMetaData"),this._mediaInfo.isComplete()&&this._onMediaInfo(this._mediaInfo)}Object.keys(r).length>0&&this._onScriptDataArrived&&this._onScriptDataArrived(Object.assign({},r))}_parseKeyframesIndex(e){let t=[],n=[];for(let r=1;r>>4;if(Ie!==2&&Ie!==10){this._onError(a.CODEC_UNSUPPORTED,"Flv: Unsupported audio codec idx: "+Ie);return}let Se=0,Oe=(L&12)>>>2;if(Oe>=0&&Oe<=4)Se=this._flvSoundRateTable[Oe];else{this._onError(a.FORMAT_ERROR,"Flv: Invalid audio sample rate idx: "+Oe);return}let tt=(L&2)>>>1,at=L&1,Ze=this._audioMetadata,ut=this._audioTrack;if(Ze||(this._hasAudio===!1&&this._hasAudioFlagOverrided===!1&&(this._hasAudio=!0,this._mediaInfo.hasAudio=!0),Ze=this._audioMetadata={},Ze.type="audio",Ze.id=ut.id,Ze.timescale=this._timescale,Ze.duration=this._duration,Ze.audioSampleRate=Se,Ze.channelCount=at===0?1:2),Ie===10){let We=this._parseAACAudioData(e,t+1,n-1);if(We==null)return;if(We.packetType===0){Ze.config&&f.w(this.TAG,"Found another AudioSpecificConfig!");let Re=We.data;Ze.audioSampleRate=Re.samplingRate,Ze.channelCount=Re.channelCount,Ze.codec=Re.codec,Ze.originalCodec=Re.originalCodec,Ze.config=Re.config,Ze.refSampleDuration=1024/Ze.audioSampleRate*Ze.timescale,f.v(this.TAG,"Parsed AudioSpecificConfig"),this._isInitialMetadataDispatched()?this._dispatch&&(this._audioTrack.length||this._videoTrack.length)&&this._onDataAvailable(this._audioTrack,this._videoTrack):this._audioInitialMetadataDispatched=!0,this._dispatch=!1,this._onTrackMetadata("audio",Ze);let Me=this._mediaInfo;Me.audioCodec=Ze.originalCodec,Me.audioSampleRate=Ze.audioSampleRate,Me.audioChannelCount=Ze.channelCount,Me.hasVideo?Me.videoCodec!=null&&(Me.mimeType='video/x-flv; codecs="'+Me.videoCodec+","+Me.audioCodec+'"'):Me.mimeType='video/x-flv; codecs="'+Me.audioCodec+'"',Me.isComplete()&&this._onMediaInfo(Me)}else if(We.packetType===1){let Re=this._timestampBase+r,Me={unit:We.data,length:We.data.byteLength,dts:Re,pts:Re};ut.samples.push(Me),ut.length+=We.data.length}else f.e(this.TAG,`Flv: Unsupported AAC data type ${We.packetType}`)}else if(Ie===2){if(!Ze.codec){let Qe=this._parseMP3AudioData(e,t+1,n-1,!0);if(Qe==null)return;Ze.audioSampleRate=Qe.samplingRate,Ze.channelCount=Qe.channelCount,Ze.codec=Qe.codec,Ze.originalCodec=Qe.originalCodec,Ze.refSampleDuration=1152/Ze.audioSampleRate*Ze.timescale,f.v(this.TAG,"Parsed MPEG Audio Frame Header"),this._audioInitialMetadataDispatched=!0,this._onTrackMetadata("audio",Ze);let qe=this._mediaInfo;qe.audioCodec=Ze.codec,qe.audioSampleRate=Ze.audioSampleRate,qe.audioChannelCount=Ze.channelCount,qe.audioDataRate=Qe.bitRate,qe.hasVideo?qe.videoCodec!=null&&(qe.mimeType='video/x-flv; codecs="'+qe.videoCodec+","+qe.audioCodec+'"'):qe.mimeType='video/x-flv; codecs="'+qe.audioCodec+'"',qe.isComplete()&&this._onMediaInfo(qe)}let We=this._parseMP3AudioData(e,t+1,n-1,!1);if(We==null)return;let Re=this._timestampBase+r,Me={unit:We,length:We.byteLength,dts:Re,pts:Re};ut.samples.push(Me),ut.length+=We.length}}_parseAACAudioData(e,t,n){if(n<=1){f.w(this.TAG,"Flv: Invalid AAC packet, missing AACPacketType or/and Data!");return}let r={},s=new Uint8Array(e,t,n);return r.packetType=s[0],s[0]===0?r.data=this._parseAACAudioSpecificConfig(e,t+1,n-1):r.data=s.subarray(1),r}_parseAACAudioSpecificConfig(e,t,n){let r=new Uint8Array(e,t,n),s=null,S=0,L=0,Ie=null,Se=0,Oe=null;if(S=L=r[0]>>>3,Se=(r[0]&7)<<1|r[1]>>>7,Se<0||Se>=this._mpegSamplingRates.length){this._onError(a.FORMAT_ERROR,"Flv: AAC invalid sampling frequency index!");return}let tt=this._mpegSamplingRates[Se],at=(r[1]&120)>>>3;if(at<0||at>=8){this._onError(a.FORMAT_ERROR,"Flv: AAC invalid channel configuration");return}S===5&&(Oe=(r[1]&7)<<1|r[2]>>>7,Ie=(r[2]&124)>>>2);let Ze=self.navigator.userAgent.toLowerCase();return Ze.indexOf("firefox")!==-1?Se>=6?(S=5,s=new Array(4),Oe=Se-3):(S=2,s=new Array(2),Oe=Se):Ze.indexOf("android")!==-1?(S=2,s=new Array(2),Oe=Se):(S=5,Oe=Se,s=new Array(4),Se>=6?Oe=Se-3:at===1&&(S=2,s=new Array(2),Oe=Se)),s[0]=S<<3,s[0]|=(Se&15)>>>1,s[1]=(Se&15)<<7,s[1]|=(at&15)<<3,S===5&&(s[1]|=(Oe&15)>>>1,s[2]=(Oe&1)<<7,s[2]|=8,s[3]=0),{config:s,samplingRate:tt,channelCount:at,codec:"mp4a.40."+S,originalCodec:"mp4a.40."+L}}_parseMP3AudioData(e,t,n,r){if(n<4){f.w(this.TAG,"Flv: Invalid MP3 packet, header missing!");return}let s=this._littleEndian,S=new Uint8Array(e,t,n),L=null;if(r){if(S[0]!==255)return;let Ie=S[1]>>>3&3,Se=(S[1]&6)>>1,Oe=(S[2]&240)>>>4,tt=(S[2]&12)>>>2,Ze=(S[3]>>>6&3)!==3?2:1,ut=0,We=0,Re=34,Me="mp3";switch(Ie){case 0:ut=this._mpegAudioV25SampleRateTable[tt];break;case 2:ut=this._mpegAudioV20SampleRateTable[tt];break;case 3:ut=this._mpegAudioV10SampleRateTable[tt];break}switch(Se){case 1:Re=34,Oe>>4,Ie=S&15;if(Ie!==7){this._onError(a.CODEC_UNSUPPORTED,`Flv: Unsupported codec in video frame: ${Ie}`);return}this._parseAVCVideoPacket(e,t+1,n-1,r,s,L)}_parseAVCVideoPacket(e,t,n,r,s,S){if(n<4){f.w(this.TAG,"Flv: Invalid AVC packet, missing AVCPacketType or/and CompositionTime");return}let L=this._littleEndian,Ie=new DataView(e,t,n),Se=Ie.getUint8(0),tt=(Ie.getUint32(0,!L)&16777215)<<8>>8;if(Se===0)this._parseAVCDecoderConfigurationRecord(e,t+4,n-4);else if(Se===1)this._parseAVCVideoData(e,t+4,n-4,r,s,S,tt);else if(Se!==2){this._onError(a.FORMAT_ERROR,`Flv: Invalid video packet type ${Se}`);return}}_parseAVCDecoderConfigurationRecord(e,t,n){if(n<7){f.w(this.TAG,"Flv: Invalid AVCDecoderConfigurationRecord, lack of data!");return}let r=this._videoMetadata,s=this._videoTrack,S=this._littleEndian,L=new DataView(e,t,n);r?typeof r.avcc!="undefined"&&f.w(this.TAG,"Found another AVCDecoderConfigurationRecord!"):(this._hasVideo===!1&&this._hasVideoFlagOverrided===!1&&(this._hasVideo=!0,this._mediaInfo.hasVideo=!0),r=this._videoMetadata={},r.type="video",r.id=s.id,r.timescale=this._timescale,r.duration=this._duration);let Ie=L.getUint8(0),Se=L.getUint8(1),Oe=L.getUint8(2),tt=L.getUint8(3);if(Ie!==1||Se===0){this._onError(a.FORMAT_ERROR,"Flv: Invalid AVCDecoderConfigurationRecord");return}if(this._naluLengthSize=(L.getUint8(4)&3)+1,this._naluLengthSize!==3&&this._naluLengthSize!==4){this._onError(a.FORMAT_ERROR,`Flv: Strange NaluLengthSizeMinusOne: ${this._naluLengthSize-1}`);return}let at=L.getUint8(5)&31;if(at===0){this._onError(a.FORMAT_ERROR,"Flv: Invalid AVCDecoderConfigurationRecord: No SPS");return}else at>1&&f.w(this.TAG,`Flv: Strange AVCDecoderConfigurationRecord: SPS Count = ${at}`);let Ze=6;for(let We=0;We1&&f.w(this.TAG,`Flv: Strange AVCDecoderConfigurationRecord: PPS Count = ${ut}`);Ze++;for(let We=0;We=n){f.w(this.TAG,`Malformed Nalu near timestamp ${ut}, offset = ${at}, dataSize = ${n}`);break}let Re=Se.getUint32(at,!Ie);if(Ze===3&&(Re>>>=8),Re>n-Ze){f.w(this.TAG,`Malformed Nalus near timestamp ${ut}, NaluSize > DataSize!`);return}let Me=Se.getUint8(at+Ze)&31;Me===5&&(We=!0);let Qe=new Uint8Array(e,t+at,Ze+Re),qe={type:Me,data:Qe};Oe.push(qe),tt+=Qe.byteLength,at+=Ze+Re}if(Oe.length){let Re=this._videoTrack,Me={units:Oe,length:tt,isKeyframe:We,dts:ut,cts:L,pts:ut+L};We&&(Me.fileposition=s),Re.samples.push(Me),Re.length+=tt}}}var p=l;class o{static init(){o.types={avc1:[],avcC:[],btrt:[],dinf:[],dref:[],esds:[],ftyp:[],hdlr:[],mdat:[],mdhd:[],mdia:[],mfhd:[],minf:[],moof:[],moov:[],mp4a:[],mvex:[],mvhd:[],sdtp:[],stbl:[],stco:[],stsc:[],stsd:[],stsz:[],stts:[],tfdt:[],tfhd:[],traf:[],trak:[],trun:[],trex:[],tkhd:[],vmhd:[],smhd:[],".mp3":[]};for(let t in o.types)o.types.hasOwnProperty(t)&&(o.types[t]=[t.charCodeAt(0),t.charCodeAt(1),t.charCodeAt(2),t.charCodeAt(3)]);let e=o.constants={};e.FTYP=new Uint8Array([105,115,111,109,0,0,0,1,105,115,111,109,97,118,99,49]),e.STSD_PREFIX=new Uint8Array([0,0,0,0,0,0,0,1]),e.STTS=new Uint8Array([0,0,0,0,0,0,0,0]),e.STSC=e.STCO=e.STTS,e.STSZ=new Uint8Array([0,0,0,0,0,0,0,0,0,0,0,0]),e.HDLR_VIDEO=new Uint8Array([0,0,0,0,0,0,0,0,118,105,100,101,0,0,0,0,0,0,0,0,0,0,0,0,86,105,100,101,111,72,97,110,100,108,101,114,0]),e.HDLR_AUDIO=new Uint8Array([0,0,0,0,0,0,0,0,115,111,117,110,0,0,0,0,0,0,0,0,0,0,0,0,83,111,117,110,100,72,97,110,100,108,101,114,0]),e.DREF=new Uint8Array([0,0,0,0,0,0,0,1,0,0,0,12,117,114,108,32,0,0,0,1]),e.SMHD=new Uint8Array([0,0,0,0,0,0,0,0]),e.VMHD=new Uint8Array([0,0,0,1,0,0,0,0,0,0,0,0])}static box(e){let t=8,n=null,r=Array.prototype.slice.call(arguments,1),s=r.length;for(let L=0;L>>24&255,n[1]=t>>>16&255,n[2]=t>>>8&255,n[3]=t&255,n.set(e,4);let S=8;for(let L=0;L>>24&255,e>>>16&255,e>>>8&255,e&255,t>>>24&255,t>>>16&255,t>>>8&255,t&255,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,64,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,255,255,255,255]))}static trak(e){return o.box(o.types.trak,o.tkhd(e),o.mdia(e))}static tkhd(e){let t=e.id,n=e.duration,r=e.presentWidth,s=e.presentHeight;return o.box(o.types.tkhd,new Uint8Array([0,0,0,7,0,0,0,0,0,0,0,0,t>>>24&255,t>>>16&255,t>>>8&255,t&255,0,0,0,0,n>>>24&255,n>>>16&255,n>>>8&255,n&255,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,64,0,0,0,r>>>8&255,r&255,0,0,s>>>8&255,s&255,0,0]))}static mdia(e){return o.box(o.types.mdia,o.mdhd(e),o.hdlr(e),o.minf(e))}static mdhd(e){let t=e.timescale,n=e.duration;return o.box(o.types.mdhd,new Uint8Array([0,0,0,0,0,0,0,0,0,0,0,0,t>>>24&255,t>>>16&255,t>>>8&255,t&255,n>>>24&255,n>>>16&255,n>>>8&255,n&255,85,196,0,0]))}static hdlr(e){let t=null;return e.type==="audio"?t=o.constants.HDLR_AUDIO:t=o.constants.HDLR_VIDEO,o.box(o.types.hdlr,t)}static minf(e){let t=null;return e.type==="audio"?t=o.box(o.types.smhd,o.constants.SMHD):t=o.box(o.types.vmhd,o.constants.VMHD),o.box(o.types.minf,t,o.dinf(),o.stbl(e))}static dinf(){return o.box(o.types.dinf,o.box(o.types.dref,o.constants.DREF))}static stbl(e){return o.box(o.types.stbl,o.stsd(e),o.box(o.types.stts,o.constants.STTS),o.box(o.types.stsc,o.constants.STSC),o.box(o.types.stsz,o.constants.STSZ),o.box(o.types.stco,o.constants.STCO))}static stsd(e){return e.type==="audio"?e.codec==="mp3"?o.box(o.types.stsd,o.constants.STSD_PREFIX,o.mp3(e)):o.box(o.types.stsd,o.constants.STSD_PREFIX,o.mp4a(e)):o.box(o.types.stsd,o.constants.STSD_PREFIX,o.avc1(e))}static mp3(e){let t=e.channelCount,n=e.audioSampleRate,r=new Uint8Array([0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,t,0,16,0,0,0,0,n>>>8&255,n&255,0,0]);return o.box(o.types[".mp3"],r)}static mp4a(e){let t=e.channelCount,n=e.audioSampleRate,r=new Uint8Array([0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,t,0,16,0,0,0,0,n>>>8&255,n&255,0,0]);return o.box(o.types.mp4a,r,o.esds(e))}static esds(e){let t=e.config||[],n=t.length,r=new Uint8Array([0,0,0,0,3,23+n,0,1,0,4,15+n,64,21,0,0,0,0,0,0,0,0,0,0,0,5].concat([n]).concat(t).concat([6,1,2]));return o.box(o.types.esds,r)}static avc1(e){let t=e.avcc,n=e.codecWidth,r=e.codecHeight,s=new Uint8Array([0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,n>>>8&255,n&255,r>>>8&255,r&255,0,72,0,0,0,72,0,0,0,0,0,0,0,1,10,120,113,113,47,102,108,118,46,106,115,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,24,255,255]);return o.box(o.types.avc1,s,o.box(o.types.avcC,t))}static mvex(e){return o.box(o.types.mvex,o.trex(e))}static trex(e){let t=e.id,n=new Uint8Array([0,0,0,0,t>>>24&255,t>>>16&255,t>>>8&255,t&255,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,1]);return o.box(o.types.trex,n)}static moof(e,t){return o.box(o.types.moof,o.mfhd(e.sequenceNumber),o.traf(e,t))}static mfhd(e){let t=new Uint8Array([0,0,0,0,e>>>24&255,e>>>16&255,e>>>8&255,e&255]);return o.box(o.types.mfhd,t)}static traf(e,t){let n=e.id,r=o.box(o.types.tfhd,new Uint8Array([0,0,0,0,n>>>24&255,n>>>16&255,n>>>8&255,n&255])),s=o.box(o.types.tfdt,new Uint8Array([0,0,0,0,t>>>24&255,t>>>16&255,t>>>8&255,t&255])),S=o.sdtp(e),L=o.trun(e,S.byteLength+16+16+8+16+8+8);return o.box(o.types.traf,r,s,L,S)}static sdtp(e){let t=e.samples||[],n=t.length,r=new Uint8Array(4+n);for(let s=0;s>>24&255,r>>>16&255,r>>>8&255,r&255,t>>>24&255,t>>>16&255,t>>>8&255,t&255],0);for(let L=0;L>>24&255,Ie>>>16&255,Ie>>>8&255,Ie&255,Se>>>24&255,Se>>>16&255,Se>>>8&255,Se&255,Oe.isLeading<<2|Oe.dependsOn,Oe.isDependedOn<<6|Oe.hasRedundancy<<4|Oe.isNonSync,0,0,tt>>>24&255,tt>>>16&255,tt>>>8&255,tt&255],12+16*L)}return o.box(o.types.trun,S)}static mdat(e){return o.box(o.types.mdat,e)}}o.init();var c=o;class _{static getSilentFrame(e,t){if(e==="mp4a.40.2"){if(t===1)return new Uint8Array([0,200,0,128,35,128]);if(t===2)return new Uint8Array([33,0,73,144,2,25,0,35,128]);if(t===3)return new Uint8Array([0,200,0,128,32,132,1,38,64,8,100,0,142]);if(t===4)return new Uint8Array([0,200,0,128,32,132,1,38,64,8,100,0,128,44,128,8,2,56]);if(t===5)return new Uint8Array([0,200,0,128,32,132,1,38,64,8,100,0,130,48,4,153,0,33,144,2,56]);if(t===6)return new Uint8Array([0,200,0,128,32,132,1,38,64,8,100,0,130,48,4,153,0,33,144,2,0,178,0,32,8,224])}else{if(t===1)return new Uint8Array([1,64,34,128,163,78,230,128,186,8,0,0,0,28,6,241,193,10,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,94]);if(t===2)return new Uint8Array([1,64,34,128,163,94,230,128,186,8,0,0,0,0,149,0,6,241,161,10,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,94]);if(t===3)return new Uint8Array([1,64,34,128,163,94,230,128,186,8,0,0,0,0,149,0,6,241,161,10,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,94])}return null}}var I=_;class U{constructor(e,t,n,r,s){this.dts=e,this.pts=t,this.duration=n,this.originalDts=r,this.isSyncPoint=s,this.fileposition=null}}class fe{constructor(){this.beginDts=0,this.endDts=0,this.beginPts=0,this.endPts=0,this.originalBeginDts=0,this.originalEndDts=0,this.syncPoints=[],this.firstSample=null,this.lastSample=null}appendSyncPoint(e){e.isSyncPoint=!0,this.syncPoints.push(e)}}class ae{constructor(){this._list=[]}clear(){this._list=[]}appendArray(e){let t=this._list;e.length!==0&&(t.length>0&&e[0].originalDts=t[s].dts&&et[r].lastSample.originalDts&&e=t[r].lastSample.originalDts&&(r===t.length-1||r0&&(s=this._searchNearestSegmentBefore(n.originalBeginDts)+1),this._lastAppendLocation=s,this._list.splice(s,0,n)}getLastSegmentBefore(e){let t=this._searchNearestSegmentBefore(e);return t>=0?this._list[t]:null}getLastSampleBefore(e){let t=this.getLastSegmentBefore(e);return t!=null?t.lastSample:null}getLastSyncPointBefore(e){let t=this._searchNearestSegmentBefore(e),n=this._list[t].syncPoints;for(;n.length===0&&t>0;)t--,n=this._list[t].syncPoints;return n.length>0?n[n.length-1]:null}}class Y{constructor(e){this.TAG="MP4Remuxer",this._config=e,this._isLive=e.isLive===!0,this._dtsBase=-1,this._dtsBaseInited=!1,this._audioDtsBase=1/0,this._videoDtsBase=1/0,this._audioNextDts=void 0,this._videoNextDts=void 0,this._audioStashedLastSample=null,this._videoStashedLastSample=null,this._audioMeta=null,this._videoMeta=null,this._audioSegmentInfoList=new me("audio"),this._videoSegmentInfoList=new 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s=!1;this._contentLength!=null&&this._receivedLength0&&this._receivedLength{this._dispatchArrayBuffer(t.result)},t.readAsArrayBuffer(e.data)}else{this._status=d.kError;let t={code:-1,msg:"Unsupported WebSocket message type: "+e.data.constructor.name};if(this._onError)this._onError(re.EXCEPTION,t);else throw new oe(t.msg)}}_dispatchArrayBuffer(e){let t=e,n=this._receivedLength;this._receivedLength+=t.byteLength,this._onDataArrival&&this._onDataArrival(t,n,this._receivedLength)}_onWebSocketError(e){this._status=d.kError;let t={code:e.code,msg:e.message};if(this._onError)this._onError(re.EXCEPTION,t);else throw new oe(t.msg)}}var he=Q;class D{constructor(e){this._zeroStart=e||!1}getConfig(e,t){let n={};if(t.from!==0||t.to!==-1){let r;t.to!==-1?r=`bytes=${t.from.toString()}-${t.to.toString()}`:r=`bytes=${t.from.toString()}-`,n.Range=r}else this._zeroStart&&(n.Range="bytes=0-");return{url:e,headers:n}}removeURLParameters(e){return e}}var be=D;class R{constructor(e,t){this._startName=e,this._endName=t}getConfig(e,t){let n=e;if(t.from!==0||t.to!==-1){let r=!0;n.indexOf("?")===-1&&(n+="?",r=!1),r&&(n+="&"),n+=`${this._startName}=${t.from.toString()}`,t.to!==-1&&(n+=`&${this._endName}=${t.to.toString()}`)}return{url:n,headers:{}}}removeURLParameters(e){let t=e.split("?")[0],n,r=e.indexOf("?");r!==-1&&(n=e.substring(r+1));let s="";if(n!=null&&n.length>0){let S=n.split("&");for(let L=0;L0;Ie[0]!==this._startName&&Ie[0]!==this._endName&&(Se&&(s+="&"),s+=S[L])}}return s.length===0?t:t+"?"+s}}var P=R;class v{constructor(e,t,n){this.TAG="IOController",this._config=t,this._extraData=n,this._stashInitialSize=1024*384,t.stashInitialSize!=null&&t.stashInitialSize>0&&(this._stashInitialSize=t.stashInitialSize),this._stashUsed=0,this._stashSize=this._stashInitialSize,this._bufferSize=1024*1024*3,this._stashBuffer=new ArrayBuffer(this._bufferSize),this._stashByteStart=0,this._enableStash=!0,t.enableStashBuffer===!1&&(this._enableStash=!1),this._loader=null,this._loaderClass=null,this._seekHandler=null,this._dataSource=e,this._isWebSocketURL=/wss?:\/\/(.+?)/.test(e.url),this._refTotalLength=e.filesize?e.filesize:null,this._totalLength=this._refTotalLength,this._fullRequestFlag=!1,this._currentRange=null,this._redirectedURL=null,this._speedNormalized=0,this._speedSampler=new se,this._speedNormalizeList=[64,128,256,384,512,768,1024,1536,2048,3072,4096],this._isEarlyEofReconnecting=!1,this._paused=!1,this._resumeFrom=0,this._onDataArrival=null,this._onSeeked=null,this._onError=null,this._onComplete=null,this._onRedirect=null,this._onRecoveredEarlyEof=null,this._selectSeekHandler(),this._selectLoader(),this._createLoader()}destroy(){this._loader.isWorking()&&this._loader.abort(),this._loader.destroy(),this._loader=null,this._loaderClass=null,this._dataSource=null,this._stashBuffer=null,this._stashUsed=this._stashSize=this._bufferSize=this._stashByteStart=0,this._currentRange=null,this._speedSampler=null,this._isEarlyEofReconnecting=!1,this._onDataArrival=null,this._onSeeked=null,this._onError=null,this._onComplete=null,this._onRedirect=null,this._onRecoveredEarlyEof=null,this._extraData=null}isWorking(){return this._loader&&this._loader.isWorking()&&!this._paused}isPaused(){return this._paused}get status(){return this._loader.status}get extraData(){return this._extraData}set extraData(e){this._extraData=e}get onDataArrival(){return this._onDataArrival}set onDataArrival(e){this._onDataArrival=e}get onSeeked(){return this._onSeeked}set onSeeked(e){this._onSeeked=e}get onError(){return this._onError}set onError(e){this._onError=e}get onComplete(){return this._onComplete}set onComplete(e){this._onComplete=e}get onRedirect(){return this._onRedirect}set onRedirect(e){this._onRedirect=e}get onRecoveredEarlyEof(){return this._onRecoveredEarlyEof}set onRecoveredEarlyEof(e){this._onRecoveredEarlyEof=e}get currentURL(){return this._dataSource.url}get hasRedirect(){return this._redirectedURL!=null||this._dataSource.redirectedURL!=null}get currentRedirectedURL(){return this._redirectedURL||this._dataSource.redirectedURL}get currentSpeed(){return this._loaderClass===ne?this._loader.currentSpeed:this._speedSampler.lastSecondKBps}get loaderType(){return this._loader.type}_selectSeekHandler(){let e=this._config;if(e.seekType==="range")this._seekHandler=new be(this._config.rangeLoadZeroStart);else if(e.seekType==="param"){let t=e.seekParamStart||"bstart",n=e.seekParamEnd||"bend";this._seekHandler=new P(t,n)}else if(e.seekType==="custom"){if(typeof e.customSeekHandler!="function")throw new ue("Custom seekType specified in config but invalid customSeekHandler!");this._seekHandler=new e.customSeekHandler}else throw new ue(`Invalid seekType in config: ${e.seekType}`)}_selectLoader(){if(this._config.customLoader!=null)this._loaderClass=this._config.customLoader;else if(this._isWebSocketURL)this._loaderClass=he;else if(M.isSupported())this._loaderClass=M;else if(C.isSupported())this._loaderClass=C;else if(ne.isSupported())this._loaderClass=ne;else throw new oe("Your browser doesn't support xhr with arraybuffer responseType!")}_createLoader(){this._loader=new this._loaderClass(this._seekHandler,this._config),this._loader.needStashBuffer===!1&&(this._enableStash=!1),this._loader.onContentLengthKnown=this._onContentLengthKnown.bind(this),this._loader.onURLRedirect=this._onURLRedirect.bind(this),this._loader.onDataArrival=this._onLoaderChunkArrival.bind(this),this._loader.onComplete=this._onLoaderComplete.bind(this),this._loader.onError=this._onLoaderError.bind(this)}open(e){this._currentRange={from:0,to:-1},e&&(this._currentRange.from=e),this._speedSampler.reset(),e||(this._fullRequestFlag=!0),this._loader.open(this._dataSource,Object.assign({},this._currentRange))}abort(){this._loader.abort(),this._paused&&(this._paused=!1,this._resumeFrom=0)}pause(){this.isWorking()&&(this._loader.abort(),this._stashUsed!==0?(this._resumeFrom=this._stashByteStart,this._currentRange.to=this._stashByteStart-1):this._resumeFrom=this._currentRange.to+1,this._stashUsed=0,this._stashByteStart=0,this._paused=!0)}resume(){if(this._paused){this._paused=!1;let e=this._resumeFrom;this._resumeFrom=0,this._internalSeek(e,!0)}}seek(e){this._paused=!1,this._stashUsed=0,this._stashByteStart=0,this._internalSeek(e,!0)}_internalSeek(e,t){this._loader.isWorking()&&this._loader.abort(),this._flushStashBuffer(t),this._loader.destroy(),this._loader=null;let n={from:e,to:-1};this._currentRange={from:n.from,to:-1},this._speedSampler.reset(),this._stashSize=this._stashInitialSize,this._createLoader(),this._loader.open(this._dataSource,n),this._onSeeked&&this._onSeeked()}updateUrl(e){if(!e||typeof e!="string"||e.length===0)throw new ue("Url must be a non-empty string!");this._dataSource.url=e}_expandBuffer(e){let t=this._stashSize;for(;t+1024*1024*10){let r=new Uint8Array(this._stashBuffer,0,this._stashUsed);new Uint8Array(n,0,t).set(r,0)}this._stashBuffer=n,this._bufferSize=t}_normalizeSpeed(e){let t=this._speedNormalizeList,n=t.length-1,r=0,s=0,S=n;if(e=t[r]&&e=512&&e<=1024?t=Math.floor(e*1.5):t=e*2,t>8192&&(t=8192);let n=t*1024+1024*1024*1;this._bufferSize0){let S=this._stashBuffer.slice(0,this._stashUsed),L=this._dispatchChunks(S,this._stashByteStart);if(L0){let Ie=new Uint8Array(S,L);s.set(Ie,0),this._stashUsed=Ie.byteLength,this._stashByteStart+=L}}else this._stashUsed=0,this._stashByteStart+=L;this._stashUsed+e.byteLength>this._bufferSize&&(this._expandBuffer(this._stashUsed+e.byteLength),s=new Uint8Array(this._stashBuffer,0,this._bufferSize)),s.set(new Uint8Array(e),this._stashUsed),this._stashUsed+=e.byteLength}else{let S=this._dispatchChunks(e,t);if(Sthis._bufferSize&&(this._expandBuffer(L),s=new Uint8Array(this._stashBuffer,0,this._bufferSize)),s.set(new Uint8Array(e,S),0),this._stashUsed+=L,this._stashByteStart=t+S}}}else if(this._stashUsed===0){let s=this._dispatchChunks(e,t);if(sthis._bufferSize&&this._expandBuffer(S),new Uint8Array(this._stashBuffer,0,this._bufferSize).set(new Uint8Array(e,s),0),this._stashUsed+=S,this._stashByteStart=t+s}}else{this._stashUsed+e.byteLength>this._bufferSize&&this._expandBuffer(this._stashUsed+e.byteLength);let s=new Uint8Array(this._stashBuffer,0,this._bufferSize);s.set(new Uint8Array(e),this._stashUsed),this._stashUsed+=e.byteLength;let S=this._dispatchChunks(this._stashBuffer.slice(0,this._stashUsed),this._stashByteStart);if(S0){let L=new Uint8Array(this._stashBuffer,S);s.set(L,0)}this._stashUsed-=S,this._stashByteStart+=S}}_flushStashBuffer(e){if(this._stashUsed>0){let t=this._stashBuffer.slice(0,this._stashUsed),n=this._dispatchChunks(t,this._stashByteStart),r=t.byteLength-n;if(n0){let s=new Uint8Array(this._stashBuffer,0,this._bufferSize),S=new Uint8Array(t,n);s.set(S,0),this._stashUsed=S.byteLength,this._stashByteStart+=n}return 0}return this._stashUsed=0,this._stashByteStart=0,r}return 0}_onLoaderComplete(e,t){this._flushStashBuffer(!0),this._onComplete&&this._onComplete(this._extraData)}_onLoaderError(e,t){switch(f.e(this.TAG,`Loader error, code = ${t.code}, msg = ${t.msg}`),this._flushStashBuffer(!1),this._isEarlyEofReconnecting&&(this._isEarlyEofReconnecting=!1,e=re.UNRECOVERABLE_EARLY_EOF),e){case re.EARLY_EOF:{if(!this._config.isLive&&this._totalLength){let n=this._currentRange.to+1;n0){let t=ee.getConfig();e.emit("change",t)}}static registerListener(e){ee.emitter.addListener("change",e)}static removeListener(e){ee.emitter.removeListener("change",e)}static addLogListener(e){f.emitter.addListener("log",e),f.emitter.listenerCount("log")>0&&(f.ENABLE_CALLBACK=!0,ee._notifyChange())}static removeLogListener(e){f.emitter.removeListener("log",e),f.emitter.listenerCount("log")===0&&(f.ENABLE_CALLBACK=!1,ee._notifyChange())}}ee.emitter=new(q());var ie=ee;class ge{constructor(){this.mimeType=null,this.duration=null,this.hasAudio=null,this.hasVideo=null,this.audioCodec=null,this.videoCodec=null,this.audioDataRate=null,this.videoDataRate=null,this.audioSampleRate=null,this.audioChannelCount=null,this.width=null,this.height=null,this.fps=null,this.profile=null,this.level=null,this.refFrames=null,this.chromaFormat=null,this.sarNum=null,this.sarDen=null,this.metadata=null,this.segments=null,this.segmentCount=null,this.hasKeyframesIndex=null,this.keyframesIndex=null}isComplete(){let e=this.hasAudio===!1||this.hasAudio===!0&&this.audioCodec!=null&&this.audioSampleRate!=null&&this.audioChannelCount!=null,t=this.hasVideo===!1||this.hasVideo===!0&&this.videoCodec!=null&&this.width!=null&&this.height!=null&&this.fps!=null&&this.profile!=null&&this.level!=null&&this.refFrames!=null&&this.chromaFormat!=null&&this.sarNum!=null&&this.sarDen!=null;return this.mimeType!=null&&this.duration!=null&&this.metadata!=null&&this.hasKeyframesIndex!=null&&e&&t}isSeekable(){return this.hasKeyframesIndex===!0}getNearestKeyframe(e){if(this.keyframesIndex==null)return null;let t=this.keyframesIndex,n=this._search(t.times,e);return{index:n,milliseconds:t.times[n],fileposition:t.filepositions[n]}}_search(e,t){let n=0,r=e.length-1,s=0,S=0,L=r;for(t=e[s]&&t=128){e.push(String.fromCharCode(s&65535)),n+=2;continue}}}else if(t[n]<240){if(Pe(t,n,2)){let s=(t[n]&15)<<12|(t[n+1]&63)<<6|t[n+2]&63;if(s>=2048&&(s&63488)!==55296){e.push(String.fromCharCode(s&65535)),n+=3;continue}}}else if(t[n]<248&&Pe(t,n,3)){let s=(t[n]&7)<<18|(t[n+1]&63)<<12|(t[n+2]&63)<<6|t[n+3]&63;if(s>65536&&s<1114112){s-=65536,e.push(String.fromCharCode(s>>>10|55296)),e.push(String.fromCharCode(s&1023|56320)),n+=4;continue}}}e.push("\uFFFD"),++n}return e.join("")}var Je=xe;let ke=function(){let pe=new ArrayBuffer(2);return new DataView(pe).setInt16(0,256,!0),new Int16Array(pe)[0]===256}();class ze{static parseScriptData(e,t,n){let r={};try{let s=ze.parseValue(e,t,n),S=ze.parseValue(e,t+s.size,n-s.size);r[s.data]=S.data}catch(s){f.e("AMF",s.toString())}return r}static parseObject(e,t,n){if(n<3)throw new _e("Data not enough when parse ScriptDataObject");let r=ze.parseString(e,t,n),s=ze.parseValue(e,t+r.size,n-r.size),S=s.objectEnd;return{data:{name:r.data,value:s.data},size:r.size+s.size,objectEnd:S}}static parseVariable(e,t,n){return ze.parseObject(e,t,n)}static parseString(e,t,n){if(n<2)throw new _e("Data not enough when parse String");let s=new DataView(e,t,n).getUint16(0,!ke),S;return s>0?S=Je(new Uint8Array(e,t+2,s)):S="",{data:S,size:2+s}}static parseLongString(e,t,n){if(n<4)throw new _e("Data not enough when parse LongString");let s=new DataView(e,t,n).getUint32(0,!ke),S;return s>0?S=Je(new Uint8Array(e,t+4,s)):S="",{data:S,size:4+s}}static parseDate(e,t,n){if(n<10)throw new _e("Data size invalid when parse Date");let r=new DataView(e,t,n),s=r.getFloat64(0,!ke),S=r.getInt16(8,!ke);return s+=S*60*1e3,{data:new Date(s),size:10}}static parseValue(e,t,n){if(n<1)throw new _e("Data not enough when parse Value");let r=new DataView(e,t,n),s=1,S=r.getUint8(0),L,Ie=!1;try{switch(S){case 0:L=r.getFloat64(1,!ke),s+=8;break;case 1:{L=!!r.getUint8(1),s+=1;break}case 2:{let Se=ze.parseString(e,t+1,n-1);L=Se.data,s+=Se.size;break}case 3:{L={};let Se=0;for((r.getUint32(n-4,!ke)&16777215)===9&&(Se=3);s32)throw new ue("ExpGolomb: readBits() bits exceeded max 32bits!");if(e<=this._current_word_bits_left){let S=this._current_word>>>32-e;return this._current_word<<=e,this._current_word_bits_left-=e,S}let t=this._current_word_bits_left?this._current_word:0;t=t>>>32-this._current_word_bits_left;let n=e-this._current_word_bits_left;this._fillCurrentWord();let r=Math.min(n,this._current_word_bits_left),s=this._current_word>>>32-r;return this._current_word<<=r,this._current_word_bits_left-=r,t=t<>>e)return this._current_word<<=e,this._current_word_bits_left-=e,e;return this._fillCurrentWord(),e+this._skipLeadingZero()}readUEG(){let e=this._skipLeadingZero();return this.readBits(e+1)-1}readSEG(){let e=this.readUEG();return e&1?e+1>>>1:-1*(e>>>1)}}var we=G;class h{static _ebsp2rbsp(e){let t=e,n=t.byteLength,r=new Uint8Array(n),s=0;for(let S=0;S=2&&t[S]===3&&t[S-1]===0&&t[S-2]===0||(r[s]=t[S],s++);return new Uint8Array(r.buffer,0,s)}static parseSPS(e){let t=h._ebsp2rbsp(e),n=new we(t);n.readByte();let r=n.readByte();n.readByte();let s=n.readByte();n.readUEG();let S=h.getProfileString(r),L=h.getLevelString(s),Ie=1,Se=420,Oe=[0,420,422,444],tt=8;if((r===100||r===110||r===122||r===244||r===44||r===83||r===86||r===118||r===128||r===138||r===144)&&(Ie=n.readUEG(),Ie===3&&n.readBits(1),Ie<=3&&(Se=Oe[Ie]),tt=n.readUEG()+8,n.readUEG(),n.readBits(1),n.readBool())){let bt=Ie!==3?8:12;for(let _t=0;_t0&&bt<16?(It=_t[bt-1],Ye=wt[bt-1]):bt===255&&(It=n.readByte()<<8|n.readByte(),Ye=n.readByte()<<8|n.readByte())}if(n.readBool()&&n.readBool(),n.readBool()&&(n.readBits(4),n.readBool()&&n.readBits(24)),n.readBool()&&(n.readUEG(),n.readUEG()),n.readBool()){let bt=n.readBits(32),_t=n.readBits(32);j=n.readBool(),W=_t,de=bt*2,Xe=W/de}}let ye=1;(It!==1||Ye!==1)&&(ye=It/Ye);let $e=0,De=0;if(Ie===0)$e=1,De=2-Re;else{let bt=Ie===3?1:2,_t=Ie===1?2:1;$e=bt,De=_t*(2-Re)}let ct=(ut+1)*16,St=(2-Re)*((We+1)*16);ct-=(Me+Qe)*$e,St-=(qe+gt)*De;let ft=Math.ceil(ct*ye);return n.destroy(),n=null,{profile_string:S,level_string:L,bit_depth:tt,ref_frames:Ze,chroma_format:Se,chroma_format_string:h.getChromaFormatString(Se),frame_rate:{fixed:j,fps:Xe,fps_den:de,fps_num:W},sar_ratio:{width:It,height:Ye},codec_size:{width:ct,height:St},present_size:{width:ft,height:St}}}static _skipScalingList(e,t){let n=8,r=8,s=0;for(let S=0;S>>8&255|(pe&255)<<8}function z(pe){return(pe&4278190080)>>>24|(pe&16711680)>>>8|(pe&65280)<<8|(pe&255)<<24}function E(pe,e){return pe[e]<<24|pe[e+1]<<16|pe[e+2]<<8|pe[e+3]}class l{constructor(e,t){this.TAG="FLVDemuxer",this._config=t,this._onError=null,this._onMediaInfo=null,this._onMetaDataArrived=null,this._onScriptDataArrived=null,this._onTrackMetadata=null,this._onDataAvailable=null,this._dataOffset=e.dataOffset,this._firstParse=!0,this._dispatch=!1,this._hasAudio=e.hasAudioTrack,this._hasVideo=e.hasVideoTrack,this._hasAudioFlagOverrided=!1,this._hasVideoFlagOverrided=!1,this._audioInitialMetadataDispatched=!1,this._videoInitialMetadataDispatched=!1,this._mediaInfo=new Ae,this._mediaInfo.hasAudio=this._hasAudio,this._mediaInfo.hasVideo=this._hasVideo,this._metadata=null,this._audioMetadata=null,this._videoMetadata=null,this._naluLengthSize=4,this._timestampBase=0,this._timescale=1e3,this._duration=0,this._durationOverrided=!1,this._referenceFrameRate={fixed:!0,fps:23.976,fps_num:23976,fps_den:1e3},this._flvSoundRateTable=[5500,11025,22050,44100,48e3],this._mpegSamplingRates=[96e3,88200,64e3,48e3,44100,32e3,24e3,22050,16e3,12e3,11025,8e3,7350],this._mpegAudioV10SampleRateTable=[44100,48e3,32e3,0],this._mpegAudioV20SampleRateTable=[22050,24e3,16e3,0],this._mpegAudioV25SampleRateTable=[11025,12e3,8e3,0],this._mpegAudioL1BitRateTable=[0,32,64,96,128,160,192,224,256,288,320,352,384,416,448,-1],this._mpegAudioL2BitRateTable=[0,32,48,56,64,80,96,112,128,160,192,224,256,320,384,-1],this._mpegAudioL3BitRateTable=[0,32,40,48,56,64,80,96,112,128,160,192,224,256,320,-1],this._videoTrack={type:"video",id:1,sequenceNumber:0,samples:[],length:0},this._audioTrack={type:"audio",id:2,sequenceNumber:0,samples:[],length:0},this._littleEndian=function(){let n=new ArrayBuffer(2);return new DataView(n).setInt16(0,256,!0),new Int16Array(n)[0]===256}()}destroy(){this._mediaInfo=null,this._metadata=null,this._audioMetadata=null,this._videoMetadata=null,this._videoTrack=null,this._audioTrack=null,this._onError=null,this._onMediaInfo=null,this._onMetaDataArrived=null,this._onScriptDataArrived=null,this._onTrackMetadata=null,this._onDataAvailable=null}static probe(e){let t=new Uint8Array(e),n={match:!1};if(t[0]!==70||t[1]!==76||t[2]!==86||t[3]!==1)return n;let r=(t[4]&4)>>>2!==0,s=(t[4]&1)!==0,S=E(t,5);return S<9?n:{match:!0,consumed:S,dataOffset:S,hasAudioTrack:r,hasVideoTrack:s}}bindDataSource(e){return e.onDataArrival=this.parseChunks.bind(this),this}get onTrackMetadata(){return this._onTrackMetadata}set onTrackMetadata(e){this._onTrackMetadata=e}get onMediaInfo(){return this._onMediaInfo}set onMediaInfo(e){this._onMediaInfo=e}get onMetaDataArrived(){return this._onMetaDataArrived}set onMetaDataArrived(e){this._onMetaDataArrived=e}get onScriptDataArrived(){return this._onScriptDataArrived}set onScriptDataArrived(e){this._onScriptDataArrived=e}get onError(){return this._onError}set onError(e){this._onError=e}get onDataAvailable(){return this._onDataAvailable}set onDataAvailable(e){this._onDataAvailable=e}get timestampBase(){return this._timestampBase}set timestampBase(e){this._timestampBase=e}get overridedDuration(){return this._duration}set overridedDuration(e){this._durationOverrided=!0,this._duration=e,this._mediaInfo.duration=e}set overridedHasAudio(e){this._hasAudioFlagOverrided=!0,this._hasAudio=e,this._mediaInfo.hasAudio=e}set overridedHasVideo(e){this._hasVideoFlagOverrided=!0,this._hasVideo=e,this._mediaInfo.hasVideo=e}resetMediaInfo(){this._mediaInfo=new Ae}_isInitialMetadataDispatched(){return this._hasAudio&&this._hasVideo?this._audioInitialMetadataDispatched&&this._videoInitialMetadataDispatched:this._hasAudio&&!this._hasVideo?this._audioInitialMetadataDispatched:!this._hasAudio&&this._hasVideo?this._videoInitialMetadataDispatched:!1}parseChunks(e,t){if(!this._onError||!this._onMediaInfo||!this._onTrackMetadata||!this._onDataAvailable)throw new _e("Flv: onError & onMediaInfo & onTrackMetadata & onDataAvailable callback must be specified");let n=0,r=this._littleEndian;if(t===0)if(e.byteLength>13)n=l.probe(e).dataOffset;else return 0;for(this._firstParse&&(this._firstParse=!1,t+n!==this._dataOffset&&f.w(this.TAG,"First time parsing but chunk byteStart invalid!"),new DataView(e,n).getUint32(0,!r)!==0&&f.w(this.TAG,"PrevTagSize0 !== 0 !!!"),n+=4);ne.byteLength)break;let S=s.getUint8(0),L=s.getUint32(0,!r)&16777215;if(n+11+L+4>e.byteLength)break;if(S!==8&&S!==9&&S!==18){f.w(this.TAG,`Unsupported tag type ${S}, skipped`),n+=11+L+4;continue}let Ie=s.getUint8(4),Se=s.getUint8(5),Oe=s.getUint8(6),tt=s.getUint8(7),at=Oe|Se<<8|Ie<<16|tt<<24;(s.getUint32(7,!r)&16777215)!==0&&f.w(this.TAG,"Meet tag which has StreamID != 0!");let ut=n+11;switch(S){case 8:this._parseAudioData(e,ut,L,at);break;case 9:this._parseVideoData(e,ut,L,at,t+n);break;case 18:this._parseScriptData(e,ut,L);break}let We=s.getUint32(11+L,!r);We!==11+L&&f.w(this.TAG,`Invalid PrevTagSize ${We}`),n+=11+L+4}return this._isInitialMetadataDispatched()&&this._dispatch&&(this._audioTrack.length||this._videoTrack.length)&&this._onDataAvailable(this._audioTrack,this._videoTrack),n}_parseScriptData(e,t,n){let r=je.parseScriptData(e,t,n);if(r.hasOwnProperty("onMetaData")){if(r.onMetaData==null||typeof r.onMetaData!="object"){f.w(this.TAG,"Invalid onMetaData structure!");return}this._metadata&&f.w(this.TAG,"Found another onMetaData tag!"),this._metadata=r;let s=this._metadata.onMetaData;if(this._onMetaDataArrived&&this._onMetaDataArrived(Object.assign({},s)),typeof s.hasAudio=="boolean"&&this._hasAudioFlagOverrided===!1&&(this._hasAudio=s.hasAudio,this._mediaInfo.hasAudio=this._hasAudio),typeof s.hasVideo=="boolean"&&this._hasVideoFlagOverrided===!1&&(this._hasVideo=s.hasVideo,this._mediaInfo.hasVideo=this._hasVideo),typeof s.audiodatarate=="number"&&(this._mediaInfo.audioDataRate=s.audiodatarate),typeof s.videodatarate=="number"&&(this._mediaInfo.videoDataRate=s.videodatarate),typeof s.width=="number"&&(this._mediaInfo.width=s.width),typeof s.height=="number"&&(this._mediaInfo.height=s.height),typeof s.duration=="number"){if(!this._durationOverrided){let S=Math.floor(s.duration*this._timescale);this._duration=S,this._mediaInfo.duration=S}}else this._mediaInfo.duration=0;if(typeof s.framerate=="number"){let S=Math.floor(s.framerate*1e3);if(S>0){let L=S/1e3;this._referenceFrameRate.fixed=!0,this._referenceFrameRate.fps=L,this._referenceFrameRate.fps_num=S,this._referenceFrameRate.fps_den=1e3,this._mediaInfo.fps=L}}if(typeof s.keyframes=="object"){this._mediaInfo.hasKeyframesIndex=!0;let S=s.keyframes;this._mediaInfo.keyframesIndex=this._parseKeyframesIndex(S),s.keyframes=null}else this._mediaInfo.hasKeyframesIndex=!1;this._dispatch=!1,this._mediaInfo.metadata=s,f.v(this.TAG,"Parsed onMetaData"),this._mediaInfo.isComplete()&&this._onMediaInfo(this._mediaInfo)}Object.keys(r).length>0&&this._onScriptDataArrived&&this._onScriptDataArrived(Object.assign({},r))}_parseKeyframesIndex(e){let t=[],n=[];for(let r=1;r>>4;if(Ie!==2&&Ie!==10){this._onError(a.CODEC_UNSUPPORTED,"Flv: Unsupported audio codec idx: "+Ie);return}let Se=0,Oe=(L&12)>>>2;if(Oe>=0&&Oe<=4)Se=this._flvSoundRateTable[Oe];else{this._onError(a.FORMAT_ERROR,"Flv: Invalid audio sample rate idx: "+Oe);return}let tt=(L&2)>>>1,at=L&1,Ze=this._audioMetadata,ut=this._audioTrack;if(Ze||(this._hasAudio===!1&&this._hasAudioFlagOverrided===!1&&(this._hasAudio=!0,this._mediaInfo.hasAudio=!0),Ze=this._audioMetadata={},Ze.type="audio",Ze.id=ut.id,Ze.timescale=this._timescale,Ze.duration=this._duration,Ze.audioSampleRate=Se,Ze.channelCount=at===0?1:2),Ie===10){let We=this._parseAACAudioData(e,t+1,n-1);if(We==null)return;if(We.packetType===0){Ze.config&&f.w(this.TAG,"Found another AudioSpecificConfig!");let Re=We.data;Ze.audioSampleRate=Re.samplingRate,Ze.channelCount=Re.channelCount,Ze.codec=Re.codec,Ze.originalCodec=Re.originalCodec,Ze.config=Re.config,Ze.refSampleDuration=1024/Ze.audioSampleRate*Ze.timescale,f.v(this.TAG,"Parsed AudioSpecificConfig"),this._isInitialMetadataDispatched()?this._dispatch&&(this._audioTrack.length||this._videoTrack.length)&&this._onDataAvailable(this._audioTrack,this._videoTrack):this._audioInitialMetadataDispatched=!0,this._dispatch=!1,this._onTrackMetadata("audio",Ze);let Me=this._mediaInfo;Me.audioCodec=Ze.originalCodec,Me.audioSampleRate=Ze.audioSampleRate,Me.audioChannelCount=Ze.channelCount,Me.hasVideo?Me.videoCodec!=null&&(Me.mimeType='video/x-flv; codecs="'+Me.videoCodec+","+Me.audioCodec+'"'):Me.mimeType='video/x-flv; codecs="'+Me.audioCodec+'"',Me.isComplete()&&this._onMediaInfo(Me)}else if(We.packetType===1){let Re=this._timestampBase+r,Me={unit:We.data,length:We.data.byteLength,dts:Re,pts:Re};ut.samples.push(Me),ut.length+=We.data.length}else f.e(this.TAG,`Flv: Unsupported AAC data type ${We.packetType}`)}else if(Ie===2){if(!Ze.codec){let Qe=this._parseMP3AudioData(e,t+1,n-1,!0);if(Qe==null)return;Ze.audioSampleRate=Qe.samplingRate,Ze.channelCount=Qe.channelCount,Ze.codec=Qe.codec,Ze.originalCodec=Qe.originalCodec,Ze.refSampleDuration=1152/Ze.audioSampleRate*Ze.timescale,f.v(this.TAG,"Parsed MPEG Audio Frame Header"),this._audioInitialMetadataDispatched=!0,this._onTrackMetadata("audio",Ze);let qe=this._mediaInfo;qe.audioCodec=Ze.codec,qe.audioSampleRate=Ze.audioSampleRate,qe.audioChannelCount=Ze.channelCount,qe.audioDataRate=Qe.bitRate,qe.hasVideo?qe.videoCodec!=null&&(qe.mimeType='video/x-flv; codecs="'+qe.videoCodec+","+qe.audioCodec+'"'):qe.mimeType='video/x-flv; codecs="'+qe.audioCodec+'"',qe.isComplete()&&this._onMediaInfo(qe)}let We=this._parseMP3AudioData(e,t+1,n-1,!1);if(We==null)return;let Re=this._timestampBase+r,Me={unit:We,length:We.byteLength,dts:Re,pts:Re};ut.samples.push(Me),ut.length+=We.length}}_parseAACAudioData(e,t,n){if(n<=1){f.w(this.TAG,"Flv: Invalid AAC packet, missing AACPacketType or/and Data!");return}let r={},s=new Uint8Array(e,t,n);return r.packetType=s[0],s[0]===0?r.data=this._parseAACAudioSpecificConfig(e,t+1,n-1):r.data=s.subarray(1),r}_parseAACAudioSpecificConfig(e,t,n){let r=new Uint8Array(e,t,n),s=null,S=0,L=0,Ie=null,Se=0,Oe=null;if(S=L=r[0]>>>3,Se=(r[0]&7)<<1|r[1]>>>7,Se<0||Se>=this._mpegSamplingRates.length){this._onError(a.FORMAT_ERROR,"Flv: AAC invalid sampling frequency index!");return}let tt=this._mpegSamplingRates[Se],at=(r[1]&120)>>>3;if(at<0||at>=8){this._onError(a.FORMAT_ERROR,"Flv: AAC invalid channel configuration");return}S===5&&(Oe=(r[1]&7)<<1|r[2]>>>7,Ie=(r[2]&124)>>>2);let Ze=self.navigator.userAgent.toLowerCase();return Ze.indexOf("firefox")!==-1?Se>=6?(S=5,s=new Array(4),Oe=Se-3):(S=2,s=new Array(2),Oe=Se):Ze.indexOf("android")!==-1?(S=2,s=new Array(2),Oe=Se):(S=5,Oe=Se,s=new Array(4),Se>=6?Oe=Se-3:at===1&&(S=2,s=new Array(2),Oe=Se)),s[0]=S<<3,s[0]|=(Se&15)>>>1,s[1]=(Se&15)<<7,s[1]|=(at&15)<<3,S===5&&(s[1]|=(Oe&15)>>>1,s[2]=(Oe&1)<<7,s[2]|=8,s[3]=0),{config:s,samplingRate:tt,channelCount:at,codec:"mp4a.40."+S,originalCodec:"mp4a.40."+L}}_parseMP3AudioData(e,t,n,r){if(n<4){f.w(this.TAG,"Flv: Invalid MP3 packet, header missing!");return}let s=this._littleEndian,S=new Uint8Array(e,t,n),L=null;if(r){if(S[0]!==255)return;let Ie=S[1]>>>3&3,Se=(S[1]&6)>>1,Oe=(S[2]&240)>>>4,tt=(S[2]&12)>>>2,Ze=(S[3]>>>6&3)!==3?2:1,ut=0,We=0,Re=34,Me="mp3";switch(Ie){case 0:ut=this._mpegAudioV25SampleRateTable[tt];break;case 2:ut=this._mpegAudioV20SampleRateTable[tt];break;case 3:ut=this._mpegAudioV10SampleRateTable[tt];break}switch(Se){case 1:Re=34,Oe>>4,Ie=S&15;if(Ie!==7){this._onError(a.CODEC_UNSUPPORTED,`Flv: Unsupported codec in video frame: ${Ie}`);return}this._parseAVCVideoPacket(e,t+1,n-1,r,s,L)}_parseAVCVideoPacket(e,t,n,r,s,S){if(n<4){f.w(this.TAG,"Flv: Invalid AVC packet, missing AVCPacketType or/and CompositionTime");return}let L=this._littleEndian,Ie=new DataView(e,t,n),Se=Ie.getUint8(0),tt=(Ie.getUint32(0,!L)&16777215)<<8>>8;if(Se===0)this._parseAVCDecoderConfigurationRecord(e,t+4,n-4);else if(Se===1)this._parseAVCVideoData(e,t+4,n-4,r,s,S,tt);else if(Se!==2){this._onError(a.FORMAT_ERROR,`Flv: Invalid video packet type ${Se}`);return}}_parseAVCDecoderConfigurationRecord(e,t,n){if(n<7){f.w(this.TAG,"Flv: Invalid AVCDecoderConfigurationRecord, lack of data!");return}let r=this._videoMetadata,s=this._videoTrack,S=this._littleEndian,L=new DataView(e,t,n);r?typeof r.avcc!="undefined"&&f.w(this.TAG,"Found another AVCDecoderConfigurationRecord!"):(this._hasVideo===!1&&this._hasVideoFlagOverrided===!1&&(this._hasVideo=!0,this._mediaInfo.hasVideo=!0),r=this._videoMetadata={},r.type="video",r.id=s.id,r.timescale=this._timescale,r.duration=this._duration);let Ie=L.getUint8(0),Se=L.getUint8(1),Oe=L.getUint8(2),tt=L.getUint8(3);if(Ie!==1||Se===0){this._onError(a.FORMAT_ERROR,"Flv: Invalid AVCDecoderConfigurationRecord");return}if(this._naluLengthSize=(L.getUint8(4)&3)+1,this._naluLengthSize!==3&&this._naluLengthSize!==4){this._onError(a.FORMAT_ERROR,`Flv: Strange NaluLengthSizeMinusOne: ${this._naluLengthSize-1}`);return}let at=L.getUint8(5)&31;if(at===0){this._onError(a.FORMAT_ERROR,"Flv: Invalid AVCDecoderConfigurationRecord: No SPS");return}else at>1&&f.w(this.TAG,`Flv: Strange AVCDecoderConfigurationRecord: SPS Count = ${at}`);let Ze=6;for(let We=0;We1&&f.w(this.TAG,`Flv: Strange AVCDecoderConfigurationRecord: PPS Count = ${ut}`);Ze++;for(let We=0;We=n){f.w(this.TAG,`Malformed Nalu near timestamp ${ut}, offset = ${at}, dataSize = ${n}`);break}let Re=Se.getUint32(at,!Ie);if(Ze===3&&(Re>>>=8),Re>n-Ze){f.w(this.TAG,`Malformed Nalus near timestamp ${ut}, NaluSize > DataSize!`);return}let Me=Se.getUint8(at+Ze)&31;Me===5&&(We=!0);let Qe=new Uint8Array(e,t+at,Ze+Re),qe={type:Me,data:Qe};Oe.push(qe),tt+=Qe.byteLength,at+=Ze+Re}if(Oe.length){let Re=this._videoTrack,Me={units:Oe,length:tt,isKeyframe:We,dts:ut,cts:L,pts:ut+L};We&&(Me.fileposition=s),Re.samples.push(Me),Re.length+=tt}}}var p=l;class o{static init(){o.types={avc1:[],avcC:[],btrt:[],dinf:[],dref:[],esds:[],ftyp:[],hdlr:[],mdat:[],mdhd:[],mdia:[],mfhd:[],minf:[],moof:[],moov:[],mp4a:[],mvex:[],mvhd:[],sdtp:[],stbl:[],stco:[],stsc:[],stsd:[],stsz:[],stts:[],tfdt:[],tfhd:[],traf:[],trak:[],trun:[],trex:[],tkhd:[],vmhd:[],smhd:[],".mp3":[]};for(let t in o.types)o.types.hasOwnProperty(t)&&(o.types[t]=[t.charCodeAt(0),t.charCodeAt(1),t.charCodeAt(2),t.charCodeAt(3)]);let e=o.constants={};e.FTYP=new Uint8Array([105,115,111,109,0,0,0,1,105,115,111,109,97,118,99,49]),e.STSD_PREFIX=new Uint8Array([0,0,0,0,0,0,0,1]),e.STTS=new Uint8Array([0,0,0,0,0,0,0,0]),e.STSC=e.STCO=e.STTS,e.STSZ=new Uint8Array([0,0,0,0,0,0,0,0,0,0,0,0]),e.HDLR_VIDEO=new Uint8Array([0,0,0,0,0,0,0,0,118,105,100,101,0,0,0,0,0,0,0,0,0,0,0,0,86,105,100,101,111,72,97,110,100,108,101,114,0]),e.HDLR_AUDIO=new Uint8Array([0,0,0,0,0,0,0,0,115,111,117,110,0,0,0,0,0,0,0,0,0,0,0,0,83,111,117,110,100,72,97,110,100,108,101,114,0]),e.DREF=new Uint8Array([0,0,0,0,0,0,0,1,0,0,0,12,117,114,108,32,0,0,0,1]),e.SMHD=new Uint8Array([0,0,0,0,0,0,0,0]),e.VMHD=new Uint8Array([0,0,0,1,0,0,0,0,0,0,0,0])}static box(e){let t=8,n=null,r=Array.prototype.slice.call(arguments,1),s=r.length;for(let L=0;L>>24&255,n[1]=t>>>16&255,n[2]=t>>>8&255,n[3]=t&255,n.set(e,4);let S=8;for(let L=0;L>>24&255,e>>>16&255,e>>>8&255,e&255,t>>>24&255,t>>>16&255,t>>>8&255,t&255,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,64,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,255,255,255,255]))}static trak(e){return o.box(o.types.trak,o.tkhd(e),o.mdia(e))}static tkhd(e){let t=e.id,n=e.duration,r=e.presentWidth,s=e.presentHeight;return o.box(o.types.tkhd,new Uint8Array([0,0,0,7,0,0,0,0,0,0,0,0,t>>>24&255,t>>>16&255,t>>>8&255,t&255,0,0,0,0,n>>>24&255,n>>>16&255,n>>>8&255,n&255,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,64,0,0,0,r>>>8&255,r&255,0,0,s>>>8&255,s&255,0,0]))}static mdia(e){return o.box(o.types.mdia,o.mdhd(e),o.hdlr(e),o.minf(e))}static mdhd(e){let t=e.timescale,n=e.duration;return o.box(o.types.mdhd,new Uint8Array([0,0,0,0,0,0,0,0,0,0,0,0,t>>>24&255,t>>>16&255,t>>>8&255,t&255,n>>>24&255,n>>>16&255,n>>>8&255,n&255,85,196,0,0]))}static hdlr(e){let t=null;return e.type==="audio"?t=o.constants.HDLR_AUDIO:t=o.constants.HDLR_VIDEO,o.box(o.types.hdlr,t)}static minf(e){let t=null;return e.type==="audio"?t=o.box(o.types.smhd,o.constants.SMHD):t=o.box(o.types.vmhd,o.constants.VMHD),o.box(o.types.minf,t,o.dinf(),o.stbl(e))}static dinf(){return o.box(o.types.dinf,o.box(o.types.dref,o.constants.DREF))}static stbl(e){return o.box(o.types.stbl,o.stsd(e),o.box(o.types.stts,o.constants.STTS),o.box(o.types.stsc,o.constants.STSC),o.box(o.types.stsz,o.constants.STSZ),o.box(o.types.stco,o.constants.STCO))}static stsd(e){return e.type==="audio"?e.codec==="mp3"?o.box(o.types.stsd,o.constants.STSD_PREFIX,o.mp3(e)):o.box(o.types.stsd,o.constants.STSD_PREFIX,o.mp4a(e)):o.box(o.types.stsd,o.constants.STSD_PREFIX,o.avc1(e))}static mp3(e){let t=e.channelCount,n=e.audioSampleRate,r=new Uint8Array([0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,t,0,16,0,0,0,0,n>>>8&255,n&255,0,0]);return o.box(o.types[".mp3"],r)}static mp4a(e){let t=e.channelCount,n=e.audioSampleRate,r=new Uint8Array([0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,t,0,16,0,0,0,0,n>>>8&255,n&255,0,0]);return o.box(o.types.mp4a,r,o.esds(e))}static esds(e){let t=e.config||[],n=t.length,r=new Uint8Array([0,0,0,0,3,23+n,0,1,0,4,15+n,64,21,0,0,0,0,0,0,0,0,0,0,0,5].concat([n]).concat(t).concat([6,1,2]));return o.box(o.types.esds,r)}static avc1(e){let t=e.avcc,n=e.codecWidth,r=e.codecHeight,s=new Uint8Array([0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,n>>>8&255,n&255,r>>>8&255,r&255,0,72,0,0,0,72,0,0,0,0,0,0,0,1,10,120,113,113,47,102,108,118,46,106,115,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,24,255,255]);return o.box(o.types.avc1,s,o.box(o.types.avcC,t))}static mvex(e){return o.box(o.types.mvex,o.trex(e))}static trex(e){let t=e.id,n=new Uint8Array([0,0,0,0,t>>>24&255,t>>>16&255,t>>>8&255,t&255,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,1]);return o.box(o.types.trex,n)}static moof(e,t){return o.box(o.types.moof,o.mfhd(e.sequenceNumber),o.traf(e,t))}static mfhd(e){let t=new Uint8Array([0,0,0,0,e>>>24&255,e>>>16&255,e>>>8&255,e&255]);return o.box(o.types.mfhd,t)}static traf(e,t){let n=e.id,r=o.box(o.types.tfhd,new Uint8Array([0,0,0,0,n>>>24&255,n>>>16&255,n>>>8&255,n&255])),s=o.box(o.types.tfdt,new Uint8Array([0,0,0,0,t>>>24&255,t>>>16&255,t>>>8&255,t&255])),S=o.sdtp(e),L=o.trun(e,S.byteLength+16+16+8+16+8+8);return o.box(o.types.traf,r,s,L,S)}static sdtp(e){let t=e.samples||[],n=t.length,r=new Uint8Array(4+n);for(let s=0;s>>24&255,r>>>16&255,r>>>8&255,r&255,t>>>24&255,t>>>16&255,t>>>8&255,t&255],0);for(let L=0;L>>24&255,Ie>>>16&255,Ie>>>8&255,Ie&255,Se>>>24&255,Se>>>16&255,Se>>>8&255,Se&255,Oe.isLeading<<2|Oe.dependsOn,Oe.isDependedOn<<6|Oe.hasRedundancy<<4|Oe.isNonSync,0,0,tt>>>24&255,tt>>>16&255,tt>>>8&255,tt&255],12+16*L)}return o.box(o.types.trun,S)}static mdat(e){return o.box(o.types.mdat,e)}}o.init();var c=o;class _{static getSilentFrame(e,t){if(e==="mp4a.40.2"){if(t===1)return new Uint8Array([0,200,0,128,35,128]);if(t===2)return new Uint8Array([33,0,73,144,2,25,0,35,128]);if(t===3)return new Uint8Array([0,200,0,128,32,132,1,38,64,8,100,0,142]);if(t===4)return new Uint8Array([0,200,0,128,32,132,1,38,64,8,100,0,128,44,128,8,2,56]);if(t===5)return new Uint8Array([0,200,0,128,32,132,1,38,64,8,100,0,130,48,4,153,0,33,144,2,56]);if(t===6)return new Uint8Array([0,200,0,128,32,132,1,38,64,8,100,0,130,48,4,153,0,33,144,2,0,178,0,32,8,224])}else{if(t===1)return new Uint8Array([1,64,34,128,163,78,230,128,186,8,0,0,0,28,6,241,193,10,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,94]);if(t===2)return new Uint8Array([1,64,34,128,163,94,230,128,186,8,0,0,0,0,149,0,6,241,161,10,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,94]);if(t===3)return new Uint8Array([1,64,34,128,163,94,230,128,186,8,0,0,0,0,149,0,6,241,161,10,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,94])}return null}}var I=_;class U{constructor(e,t,n,r,s){this.dts=e,this.pts=t,this.duration=n,this.originalDts=r,this.isSyncPoint=s,this.fileposition=null}}class fe{constructor(){this.beginDts=0,this.endDts=0,this.beginPts=0,this.endPts=0,this.originalBeginDts=0,this.originalEndDts=0,this.syncPoints=[],this.firstSample=null,this.lastSample=null}appendSyncPoint(e){e.isSyncPoint=!0,this.syncPoints.push(e)}}class ae{constructor(){this._list=[]}clear(){this._list=[]}appendArray(e){let t=this._list;e.length!==0&&(t.length>0&&e[0].originalDts=t[s].dts&&et[r].lastSample.originalDts&&e=t[r].lastSample.originalDts&&(r===t.length-1||r0&&(s=this._searchNearestSegmentBefore(n.originalBeginDts)+1),this._lastAppendLocation=s,this._list.splice(s,0,n)}getLastSegmentBefore(e){let t=this._searchNearestSegmentBefore(e);return t>=0?this._list[t]:null}getLastSampleBefore(e){let t=this.getLastSegmentBefore(e);return t!=null?t.lastSample:null}getLastSyncPointBefore(e){let t=this._searchNearestSegmentBefore(e),n=this._list[t].syncPoints;for(;n.length===0&&t>0;)t--,n=this._list[t].syncPoints;return n.length>0?n[n.length-1]:null}}class Y{constructor(e){this.TAG="MP4Remuxer",this._config=e,this._isLive=e.isLive===!0,this._dtsBase=-1,this._dtsBaseInited=!1,this._audioDtsBase=1/0,this._videoDtsBase=1/0,this._audioNextDts=void 0,this._videoNextDts=void 0,this._audioStashedLastSample=null,this._videoStashedLastSample=null,this._audioMeta=null,this._videoMeta=null,this._audioSegmentInfoList=new me("audio"),this._videoSegmentInfoList=new me("video"),this._onInitSegment=null,this._onMediaSegment=null,this._forceFirstIDR=!!(K.chrome&&(K.version.major<50||K.version.major===50&&K.version.build<2661)),this._fillSilentAfterSeek=K.msedge||K.msie,this._mp3UseMpegAudio=!K.firefox,this._fillAudioTimestampGap=this._config.fixAudioTimestampGap}destroy(){this._dtsBase=-1,this._dtsBaseInited=!1,this._audioMeta=null,this._videoMeta=null,this._audioSegmentInfoList.clear(),this._audioSegmentInfoList=null,this._videoSegmentInfoList.clear(),this._videoSegmentInfoList=null,this._onInitSegment=null,this._onMediaSegment=null}bindDataSource(e){return e.onDataAvailable=this.remux.bind(this),e.onTrackMetadata=this._onTrackMetadataReceived.bind(this),this}get onInitSegment(){return this._onInitSegment}set onInitSegment(e){this._onInitSegment=e}get onMediaSegment(){return this._onMediaSegment}set onMediaSegment(e){this._onMediaSegment=e}insertDiscontinuity(){this._audioNextDts=this._videoNextDts=void 0}seek(e){this._audioStashedLastSample=null,this._videoStashedLastSample=null,this._videoSegmentInfoList.clear(),this._audioSegmentInfoList.clear()}remux(e,t){if(!this._onMediaSegment)throw new _e("MP4Remuxer: onMediaSegment callback must be specificed!");this._dtsBaseInited||this._calculateDtsBase(e,t),this._remuxVideo(t),this._remuxAudio(e)}_onTrackMetadataReceived(e,t){let n=null,r="mp4",s=t.codec;if(e==="audio")this._audioMeta=t,t.codec==="mp3"&&this._mp3UseMpegAudio?(r="mpeg",s="",n=new Uint8Array):n=c.generateInitSegment(t);else if(e==="video")this._videoMeta=t,n=c.generateInitSegment(t);else return;if(!this._onInitSegment)throw new _e("MP4Remuxer: onInitSegment callback must be specified!");this._onInitSegment(e,{type:e,data:n.buffer,codec:s,container:`${e}/${r}`,mediaDuration:t.duration})}_calculateDtsBase(e,t){this._dtsBaseInited||(e.samples&&e.samples.length&&(this._audioDtsBase=e.samples[0].dts),t.samples&&t.samples.length&&(this._videoDtsBase=t.samples[0].dts),this._dtsBase=Math.min(this._audioDtsBase,this._videoDtsBase),this._dtsBaseInited=!0)}flushStashedSamples(){let e=this._videoStashedLastSample,t=this._audioStashedLastSample,n={type:"video",id:1,sequenceNumber:0,samples:[],length:0};e!=null&&(n.samples.push(e),n.length=e.length);let r={type:"audio",id:2,sequenceNumber:0,samples:[],length:0};t!=null&&(r.samples.push(t),r.length=t.length),this._videoStashedLastSample=null,this._audioStashedLastSample=null,this._remuxVideo(n,!0),this._remuxAudio(r,!0)}_remuxAudio(e,t){if(this._audioMeta==null)return;let n=e,r=n.samples,s,S=-1,L=-1,Ie=-1,Se=this._audioMeta.refSampleDuration,Oe=this._audioMeta.codec==="mp3"&&this._mp3UseMpegAudio,tt=this._dtsBaseInited&&this._audioNextDts===void 0,at=!1;if(!r||r.length===0||r.length===1&&!t)return;let Ze=0,ut=null,We=0;Oe?(Ze=0,We=n.length):(Ze=8,We=8+n.length);let Re=null;if(r.length>1&&(Re=r.pop(),We-=Re.length),this._audioStashedLastSample!=null){let Ye=this._audioStashedLastSample;this._audioStashedLastSample=null,r.unshift(Ye),We+=Ye.length}Re!=null&&(this._audioStashedLastSample=Re);let Me=r[0].dts-this._dtsBase;if(this._audioNextDts)s=Me-this._audioNextDts;else if(this._audioSegmentInfoList.isEmpty())s=0,this._fillSilentAfterSeek&&!this._videoSegmentInfoList.isEmpty()&&this._audioMeta.originalCodec!=="mp3"&&(at=!0);else{let Ye=this._audioSegmentInfoList.getLastSampleBefore(Me);if(Ye!=null){let Xe=Me-(Ye.originalDts+Ye.duration);Xe<=3&&(Xe=0);let j=Ye.dts+Ye.duration+Xe;s=Me-j}else s=0}if(at){let Ye=Me-s,Xe=this._videoSegmentInfoList.getLastSegmentBefore(Me);if(Xe!=null&&Xe.beginDts=1?Le=Qe[Qe.length-1].duration:Le=Math.floor(Se);let ye=!1,$e=null;if(Le>Se*1.5&&this._audioMeta.codec!=="mp3"&&this._fillAudioTimestampGap&&!K.safari){ye=!0;let De=Math.abs(Le-Se),ct=Math.ceil(De/Se),St=de+Se;f.w(this.TAG,`Large audio timestamp gap detected, may cause AV sync to drift. Silent frames will be generated to avoid unsync. dts: ${de+Le} ms, expected: ${de+Math.round(Se)} ms, delta: ${Math.round(De)} ms, generate: ${ct} frames`);let ft=I.getSilentFrame(this._audioMeta.originalCodec,this._audioMeta.channelCount);ft==null&&(f.w(this.TAG,`Unable to generate silent frame for ${this._audioMeta.originalCodec} with ${this._audioMeta.channelCount} channels, repeat last frame`),ft=j),$e=[];for(let _t=0;_t0){let Lt=$e[$e.length-1];Lt.duration=wt-Lt.dts}let Nt={dts:wt,pts:wt,cts:0,unit:ft,size:ft.byteLength,duration:0,originalDts:W,flags:{isLeading:0,dependsOn:1,isDependedOn:0,hasRedundancy:0}};$e.push(Nt),We+=Nt.size,St+=Se}let bt=$e[$e.length-1];bt.duration=de+Le-bt.dts,Le=Math.round(Se)}Qe.push({dts:de,pts:de,cts:0,unit:Xe.unit,size:Xe.unit.byteLength,duration:Le,originalDts:W,flags:{isLeading:0,dependsOn:1,isDependedOn:0,hasRedundancy:0}}),ye&&Qe.push.apply(Qe,$e)}Oe?ut=new Uint8Array(We):(ut=new Uint8Array(We),ut[0]=We>>>24&255,ut[1]=We>>>16&255,ut[2]=We>>>8&255,ut[3]=We&255,ut.set(c.types.mdat,4));for(let Ye=0;Ye1&&(Ze=r.pop(),at-=Ze.length),this._videoStashedLastSample!=null){let qe=this._videoStashedLastSample;this._videoStashedLastSample=null,r.unshift(qe),at+=qe.length}Ze!=null&&(this._videoStashedLastSample=Ze);let ut=r[0].dts-this._dtsBase;if(this._videoNextDts)s=ut-this._videoNextDts;else if(this._videoSegmentInfoList.isEmpty())s=0;else{let qe=this._videoSegmentInfoList.getLastSampleBefore(ut);if(qe!=null){let gt=ut-(qe.originalDts+qe.duration);gt<=3&&(gt=0);let Tt=qe.dts+qe.duration+gt;s=ut-Tt}else s=0}let We=new fe,Re=[];for(let qe=0;qe=1?W=Re[Re.length-1].duration:W=Math.floor(this._videoMeta.refSampleDuration),It){let de=new U(Ye,j,W,gt.dts,!0);de.fileposition=gt.fileposition,We.appendSyncPoint(de)}Re.push({dts:Ye,pts:j,cts:Xe,units:gt.units,size:gt.length,isKeyframe:It,duration:W,originalDts:Tt,flags:{isLeading:0,dependsOn:It?2:1,isDependedOn:It?1:0,hasRedundancy:0,isNonSync:It?0:1}})}tt=new Uint8Array(at),tt[0]=at>>>24&255,tt[1]=at>>>16&255,tt[2]=at>>>8&255,tt[3]=at&255,tt.set(c.types.mdat,4);for(let qe=0;qe{r.timestampBase=n,n+=r.duration,r.cors=e.cors,r.withCredentials=e.withCredentials,t.referrerPolicy&&(r.referrerPolicy=t.referrerPolicy)}),!isNaN(n)&&this._mediaDataSource.duration!==n&&(this._mediaDataSource.duration=n),this._mediaInfo=null,this._demuxer=null,this._remuxer=null,this._ioctl=null,this._pendingSeekTime=null,this._pendingResolveSeekPoint=null,this._statisticsReporter=null}destroy(){this._mediaInfo=null,this._mediaDataSource=null,this._statisticsReporter&&this._disableStatisticsReporter(),this._ioctl&&(this._ioctl.destroy(),this._ioctl=null),this._demuxer&&(this._demuxer.destroy(),this._demuxer=null),this._remuxer&&(this._remuxer.destroy(),this._remuxer=null),this._emitter.removeAllListeners(),this._emitter=null}on(e,t){this._emitter.addListener(e,t)}off(e,t){this._emitter.removeListener(e,t)}start(){this._loadSegment(0),this._enableStatisticsReporter()}_loadSegment(e,t){this._currentSegmentIndex=e;let n=this._mediaDataSource.segments[e],r=this._ioctl=new B(n,this._config,e);r.onError=this._onIOException.bind(this),r.onSeeked=this._onIOSeeked.bind(this),r.onComplete=this._onIOComplete.bind(this),r.onRedirect=this._onIORedirect.bind(this),r.onRecoveredEarlyEof=this._onIORecoveredEarlyEof.bind(this),t?this._demuxer.bindDataSource(this._ioctl):r.onDataArrival=this._onInitChunkArrival.bind(this),r.open(t)}stop(){this._internalAbort(),this._disableStatisticsReporter()}_internalAbort(){this._ioctl&&(this._ioctl.destroy(),this._ioctl=null)}pause(){this._ioctl&&this._ioctl.isWorking()&&(this._ioctl.pause(),this._disableStatisticsReporter())}resume(){this._ioctl&&this._ioctl.isPaused()&&(this._ioctl.resume(),this._enableStatisticsReporter())}seek(e){if(this._mediaInfo==null||!this._mediaInfo.isSeekable())return;let t=this._searchSegmentIndexContains(e);if(t===this._currentSegmentIndex){let n=this._mediaInfo.segments[t];if(n==null)this._pendingSeekTime=e;else{let r=n.getNearestKeyframe(e);this._remuxer.seek(r.milliseconds),this._ioctl.seek(r.fileposition),this._pendingResolveSeekPoint=r.milliseconds}}else{let n=this._mediaInfo.segments[t];if(n==null)this._pendingSeekTime=e,this._internalAbort(),this._remuxer.seek(),this._remuxer.insertDiscontinuity(),this._loadSegment(t);else{let r=n.getNearestKeyframe(e);this._internalAbort(),this._remuxer.seek(e),this._remuxer.insertDiscontinuity(),this._demuxer.resetMediaInfo(),this._demuxer.timestampBase=this._mediaDataSource.segments[t].timestampBase,this._loadSegment(t,r.fileposition),this._pendingResolveSeekPoint=r.milliseconds,this._reportSegmentMediaInfo(t)}}this._enableStatisticsReporter()}_searchSegmentIndexContains(e){let t=this._mediaDataSource.segments,n=t.length-1;for(let r=0;r0)this._demuxer.bindDataSource(this._ioctl),this._demuxer.timestampBase=this._mediaDataSource.segments[this._currentSegmentIndex].timestampBase,r=this._demuxer.parseChunks(e,t);else if((n=p.probe(e)).match){this._demuxer=new p(n,this._config),this._remuxer||(this._remuxer=new Ce(this._config));let s=this._mediaDataSource;s.duration!=null&&!isNaN(s.duration)&&(this._demuxer.overridedDuration=s.duration),typeof s.hasAudio=="boolean"&&(this._demuxer.overridedHasAudio=s.hasAudio),typeof s.hasVideo=="boolean"&&(this._demuxer.overridedHasVideo=s.hasVideo),this._demuxer.timestampBase=s.segments[this._currentSegmentIndex].timestampBase,this._demuxer.onError=this._onDemuxException.bind(this),this._demuxer.onMediaInfo=this._onMediaInfo.bind(this),this._demuxer.onMetaDataArrived=this._onMetaDataArrived.bind(this),this._demuxer.onScriptDataArrived=this._onScriptDataArrived.bind(this),this._remuxer.bindDataSource(this._demuxer.bindDataSource(this._ioctl)),this._remuxer.onInitSegment=this._onRemuxerInitSegmentArrival.bind(this),this._remuxer.onMediaSegment=this._onRemuxerMediaSegmentArrival.bind(this),r=this._demuxer.parseChunks(e,t)}else n=null,f.e(this.TAG,"Non-FLV, Unsupported media type!"),Promise.resolve().then(()=>{this._internalAbort()}),this._emitter.emit(X.DEMUX_ERROR,a.FORMAT_UNSUPPORTED,"Non-FLV, Unsupported media type"),r=0;return r}_onMediaInfo(e){this._mediaInfo==null&&(this._mediaInfo=Object.assign({},e),this._mediaInfo.keyframesIndex=null,this._mediaInfo.segments=[],this._mediaInfo.segmentCount=this._mediaDataSource.segments.length,Object.setPrototypeOf(this._mediaInfo,Ae.prototype));let t=Object.assign({},e);Object.setPrototypeOf(t,Ae.prototype),this._mediaInfo.segments[this._currentSegmentIndex]=t,this._reportSegmentMediaInfo(this._currentSegmentIndex),this._pendingSeekTime!=null&&Promise.resolve().then(()=>{let n=this._pendingSeekTime;this._pendingSeekTime=null,this.seek(n)})}_onMetaDataArrived(e){this._emitter.emit(X.METADATA_ARRIVED,e)}_onScriptDataArrived(e){this._emitter.emit(X.SCRIPTDATA_ARRIVED,e)}_onIOSeeked(){this._remuxer.insertDiscontinuity()}_onIOComplete(e){let n=e+1;n0&&n[0].originalDts===r&&(r=n[0].pts),this._emitter.emit(X.RECOMMEND_SEEKPOINT,r)}}_enableStatisticsReporter(){this._statisticsReporter==null&&(this._statisticsReporter=self.setInterval(this._reportStatisticsInfo.bind(this),this._config.statisticsInfoReportInterval))}_disableStatisticsReporter(){this._statisticsReporter&&(self.clearInterval(this._statisticsReporter),this._statisticsReporter=null)}_reportSegmentMediaInfo(e){let t=this._mediaInfo.segments[e],n=Object.assign({},t);n.duration=this._mediaInfo.duration,n.segmentCount=this._mediaInfo.segmentCount,delete n.segments,delete n.keyframesIndex,this._emitter.emit(X.MEDIA_INFO,n)}_reportStatisticsInfo(){let e={};e.url=this._ioctl.currentURL,e.hasRedirect=this._ioctl.hasRedirect,e.hasRedirect&&(e.redirectedURL=this._ioctl.currentRedirectedURL),e.speed=this._ioctl.currentSpeed,e.loaderType=this._ioctl.loaderType,e.currentSegmentIndex=this._currentSegmentIndex,e.totalSegmentCount=this._mediaDataSource.segments.length,this._emitter.emit(X.STATISTICS_INFO,e)}}var Ge=Be,Ve=function(pe){let e="TransmuxingWorker",t=null,n=We.bind(this);x.install(),pe.addEventListener("message",function(Re){switch(Re.data.cmd){case"init":t=new Ge(Re.data.param[0],Re.data.param[1]),t.on(X.IO_ERROR,at.bind(this)),t.on(X.DEMUX_ERROR,Ze.bind(this)),t.on(X.INIT_SEGMENT,r.bind(this)),t.on(X.MEDIA_SEGMENT,s.bind(this)),t.on(X.LOADING_COMPLETE,S.bind(this)),t.on(X.RECOVERED_EARLY_EOF,L.bind(this)),t.on(X.MEDIA_INFO,Ie.bind(this)),t.on(X.METADATA_ARRIVED,Se.bind(this)),t.on(X.SCRIPTDATA_ARRIVED,Oe.bind(this)),t.on(X.STATISTICS_INFO,tt.bind(this)),t.on(X.RECOMMEND_SEEKPOINT,ut.bind(this));break;case"destroy":t&&(t.destroy(),t=null),pe.postMessage({msg:"destroyed"});break;case"start":t.start();break;case"stop":t.stop();break;case"seek":t.seek(Re.data.param);break;case"pause":t.pause();break;case"resume":t.resume();break;case"logging_config":{let Me=Re.data.param;ie.applyConfig(Me),Me.enableCallback===!0?ie.addLogListener(n):ie.removeLogListener(n);break}}});function r(Re,Me){let Qe={msg:X.INIT_SEGMENT,data:{type:Re,data:Me}};pe.postMessage(Qe,[Me.data])}function s(Re,Me){let Qe={msg:X.MEDIA_SEGMENT,data:{type:Re,data:Me}};pe.postMessage(Qe,[Me.data])}function S(){let Re={msg:X.LOADING_COMPLETE};pe.postMessage(Re)}function L(){let Re={msg:X.RECOVERED_EARLY_EOF};pe.postMessage(Re)}function Ie(Re){let Me={msg:X.MEDIA_INFO,data:Re};pe.postMessage(Me)}function Se(Re){let Me={msg:X.METADATA_ARRIVED,data:Re};pe.postMessage(Me)}function Oe(Re){let Me={msg:X.SCRIPTDATA_ARRIVED,data:Re};pe.postMessage(Me)}function tt(Re){let Me={msg:X.STATISTICS_INFO,data:Re};pe.postMessage(Me)}function at(Re,Me){pe.postMessage({msg:X.IO_ERROR,data:{type:Re,info:Me}})}function Ze(Re,Me){pe.postMessage({msg:X.DEMUX_ERROR,data:{type:Re,info:Me}})}function ut(Re){pe.postMessage({msg:X.RECOMMEND_SEEKPOINT,data:Re})}function We(Re,Me){pe.postMessage({msg:"logcat_callback",data:{type:Re,logcat:Me}})}};class nt{constructor(e,t){if(this.TAG="Transmuxer",this._emitter=new(q()),t.enableWorker&&typeof Worker!="undefined")try{let n=i(82059);this._worker=n(Ve),this._workerDestroying=!1,this._worker.addEventListener("message",this._onWorkerMessage.bind(this)),this._worker.postMessage({cmd:"init",param:[e,t]}),this.e={onLoggingConfigChanged:this._onLoggingConfigChanged.bind(this)},ie.registerListener(this.e.onLoggingConfigChanged),this._worker.postMessage({cmd:"logging_config",param:ie.getConfig()})}catch(n){f.e(this.TAG,"Error while initialize transmuxing worker, fallback to inline transmuxing"),this._worker=null,this._controller=new Ge(e,t)}else this._controller=new Ge(e,t);if(this._controller){let n=this._controller;n.on(X.IO_ERROR,this._onIOError.bind(this)),n.on(X.DEMUX_ERROR,this._onDemuxError.bind(this)),n.on(X.INIT_SEGMENT,this._onInitSegment.bind(this)),n.on(X.MEDIA_SEGMENT,this._onMediaSegment.bind(this)),n.on(X.LOADING_COMPLETE,this._onLoadingComplete.bind(this)),n.on(X.RECOVERED_EARLY_EOF,this._onRecoveredEarlyEof.bind(this)),n.on(X.MEDIA_INFO,this._onMediaInfo.bind(this)),n.on(X.METADATA_ARRIVED,this._onMetaDataArrived.bind(this)),n.on(X.SCRIPTDATA_ARRIVED,this._onScriptDataArrived.bind(this)),n.on(X.STATISTICS_INFO,this._onStatisticsInfo.bind(this)),n.on(X.RECOMMEND_SEEKPOINT,this._onRecommendSeekpoint.bind(this))}}destroy(){this._worker?this._workerDestroying||(this._workerDestroying=!0,this._worker.postMessage({cmd:"destroy"}),ie.removeListener(this.e.onLoggingConfigChanged),this.e=null):(this._controller.destroy(),this._controller=null),this._emitter.removeAllListeners(),this._emitter=null}on(e,t){this._emitter.addListener(e,t)}off(e,t){this._emitter.removeListener(e,t)}hasWorker(){return this._worker!=null}open(){this._worker?this._worker.postMessage({cmd:"start"}):this._controller.start()}close(){this._worker?this._worker.postMessage({cmd:"stop"}):this._controller.stop()}seek(e){this._worker?this._worker.postMessage({cmd:"seek",param:e}):this._controller.seek(e)}pause(){this._worker?this._worker.postMessage({cmd:"pause"}):this._controller.pause()}resume(){this._worker?this._worker.postMessage({cmd:"resume"}):this._controller.resume()}_onInitSegment(e,t){Promise.resolve().then(()=>{this._emitter.emit(X.INIT_SEGMENT,e,t)})}_onMediaSegment(e,t){Promise.resolve().then(()=>{this._emitter.emit(X.MEDIA_SEGMENT,e,t)})}_onLoadingComplete(){Promise.resolve().then(()=>{this._emitter.emit(X.LOADING_COMPLETE)})}_onRecoveredEarlyEof(){Promise.resolve().then(()=>{this._emitter.emit(X.RECOVERED_EARLY_EOF)})}_onMediaInfo(e){Promise.resolve().then(()=>{this._emitter.emit(X.MEDIA_INFO,e)})}_onMetaDataArrived(e){Promise.resolve().then(()=>{this._emitter.emit(X.METADATA_ARRIVED,e)})}_onScriptDataArrived(e){Promise.resolve().then(()=>{this._emitter.emit(X.SCRIPTDATA_ARRIVED,e)})}_onStatisticsInfo(e){Promise.resolve().then(()=>{this._emitter.emit(X.STATISTICS_INFO,e)})}_onIOError(e,t){Promise.resolve().then(()=>{this._emitter.emit(X.IO_ERROR,e,t)})}_onDemuxError(e,t){Promise.resolve().then(()=>{this._emitter.emit(X.DEMUX_ERROR,e,t)})}_onRecommendSeekpoint(e){Promise.resolve().then(()=>{this._emitter.emit(X.RECOMMEND_SEEKPOINT,e)})}_onLoggingConfigChanged(e){this._worker&&this._worker.postMessage({cmd:"logging_config",param:e})}_onWorkerMessage(e){let t=e.data,n=t.data;if(t.msg==="destroyed"||this._workerDestroying){this._workerDestroying=!1,this._worker.terminate(),this._worker=null;return}switch(t.msg){case X.INIT_SEGMENT:case X.MEDIA_SEGMENT:this._emitter.emit(t.msg,n.type,n.data);break;case X.LOADING_COMPLETE:case X.RECOVERED_EARLY_EOF:this._emitter.emit(t.msg);break;case X.MEDIA_INFO:Object.setPrototypeOf(n,Ae.prototype),this._emitter.emit(t.msg,n);break;case X.METADATA_ARRIVED:case X.SCRIPTDATA_ARRIVED:case X.STATISTICS_INFO:this._emitter.emit(t.msg,n);break;case X.IO_ERROR:case X.DEMUX_ERROR:this._emitter.emit(t.msg,n.type,n.info);break;case X.RECOMMEND_SEEKPOINT:this._emitter.emit(t.msg,n);break;case"logcat_callback":f.emitter.emit("log",n.type,n.logcat);break;default:break}}}var yt=nt,lt={ERROR:"error",SOURCE_OPEN:"source_open",UPDATE_END:"update_end",BUFFER_FULL:"buffer_full"};class pt{constructor(e){this.TAG="MSEController",this._config=e,this._emitter=new(q()),this._config.isLive&&this._config.autoCleanupSourceBuffer==null&&(this._config.autoCleanupSourceBuffer=!0),this.e={onSourceOpen:this._onSourceOpen.bind(this),onSourceEnded:this._onSourceEnded.bind(this),onSourceClose:this._onSourceClose.bind(this),onSourceBufferError:this._onSourceBufferError.bind(this),onSourceBufferUpdateEnd:this._onSourceBufferUpdateEnd.bind(this)},this._mediaSource=null,this._mediaSourceObjectURL=null,this._mediaElement=null,this._isBufferFull=!1,this._hasPendingEos=!1,this._requireSetMediaDuration=!1,this._pendingMediaDuration=0,this._pendingSourceBufferInit=[],this._mimeTypes={video:null,audio:null},this._sourceBuffers={video:null,audio:null},this._lastInitSegments={video:null,audio:null},this._pendingSegments={video:[],audio:[]},this._pendingRemoveRanges={video:[],audio:[]},this._idrList=new ae}destroy(){(this._mediaElement||this._mediaSource)&&this.detachMediaElement(),this.e=null,this._emitter.removeAllListeners(),this._emitter=null}on(e,t){this._emitter.addListener(e,t)}off(e,t){this._emitter.removeListener(e,t)}attachMediaElement(e){if(this._mediaSource)throw new _e("MediaSource has been attached to an HTMLMediaElement!");let t=this._mediaSource=new window.MediaSource;t.addEventListener("sourceopen",this.e.onSourceOpen),t.addEventListener("sourceended",this.e.onSourceEnded),t.addEventListener("sourceclose",this.e.onSourceClose),this._mediaElement=e,this._mediaSourceObjectURL=window.URL.createObjectURL(this._mediaSource),e.src=this._mediaSourceObjectURL}detachMediaElement(){if(this._mediaSource){let e=this._mediaSource;for(let t in this._sourceBuffers){let n=this._pendingSegments[t];n.splice(0,n.length),this._pendingSegments[t]=null,this._pendingRemoveRanges[t]=null,this._lastInitSegments[t]=null;let r=this._sourceBuffers[t];if(r){if(e.readyState!=="closed"){try{e.removeSourceBuffer(r)}catch(s){f.e(this.TAG,s.message)}r.removeEventListener("error",this.e.onSourceBufferError),r.removeEventListener("updateend",this.e.onSourceBufferUpdateEnd)}this._mimeTypes[t]=null,this._sourceBuffers[t]=null}}if(e.readyState==="open")try{e.endOfStream()}catch(t){f.e(this.TAG,t.message)}e.removeEventListener("sourceopen",this.e.onSourceOpen),e.removeEventListener("sourceended",this.e.onSourceEnded),e.removeEventListener("sourceclose",this.e.onSourceClose),this._pendingSourceBufferInit=[],this._isBufferFull=!1,this._idrList.clear(),this._mediaSource=null}this._mediaElement&&(this._mediaElement.src="",this._mediaElement.removeAttribute("src"),this._mediaElement=null),this._mediaSourceObjectURL&&(window.URL.revokeObjectURL(this._mediaSourceObjectURL),this._mediaSourceObjectURL=null)}appendInitSegment(e,t){if(!this._mediaSource||this._mediaSource.readyState!=="open"){this._pendingSourceBufferInit.push(e),this._pendingSegments[e.type].push(e);return}let n=e,r=`${n.container}`;n.codec&&n.codec.length>0&&(r+=`;codecs=${n.codec}`);let s=!1;if(f.v(this.TAG,"Received Initialization Segment, mimeType: "+r),this._lastInitSegments[n.type]=n,r!==this._mimeTypes[n.type]){if(this._mimeTypes[n.type])f.v(this.TAG,`Notice: ${n.type} mimeType changed, origin: ${this._mimeTypes[n.type]}, target: ${r}`);else{s=!0;try{let S=this._sourceBuffers[n.type]=this._mediaSource.addSourceBuffer(r);S.addEventListener("error",this.e.onSourceBufferError),S.addEventListener("updateend",this.e.onSourceBufferUpdateEnd)}catch(S){f.e(this.TAG,S.message),this._emitter.emit(lt.ERROR,{code:S.code,msg:S.message});return}}this._mimeTypes[n.type]=r}t||this._pendingSegments[n.type].push(n),s||this._sourceBuffers[n.type]&&!this._sourceBuffers[n.type].updating&&this._doAppendSegments(),K.safari&&n.container==="audio/mpeg"&&n.mediaDuration>0&&(this._requireSetMediaDuration=!0,this._pendingMediaDuration=n.mediaDuration/1e3,this._updateMediaSourceDuration())}appendMediaSegment(e){let t=e;this._pendingSegments[t.type].push(t),this._config.autoCleanupSourceBuffer&&this._needCleanupSourceBuffer()&&this._doCleanupSourceBuffer();let n=this._sourceBuffers[t.type];n&&!n.updating&&!this._hasPendingRemoveRanges()&&this._doAppendSegments()}seek(e){for(let t in this._sourceBuffers){if(!this._sourceBuffers[t])continue;let n=this._sourceBuffers[t];if(this._mediaSource.readyState==="open")try{n.abort()}catch(s){f.e(this.TAG,s.message)}this._idrList.clear();let r=this._pendingSegments[t];if(r.splice(0,r.length),this._mediaSource.readyState!=="closed"){for(let s=0;s=1&&e-r.start(0)>=this._config.autoCleanupMaxBackwardDuration)return!0}}return!1}_doCleanupSourceBuffer(){let e=this._mediaElement.currentTime;for(let t in this._sourceBuffers){let n=this._sourceBuffers[t];if(n){let r=n.buffered,s=!1;for(let S=0;S=this._config.autoCleanupMaxBackwardDuration){s=!0;let Se=e-this._config.autoCleanupMinBackwardDuration;this._pendingRemoveRanges[t].push({start:L,end:Se})}}else Ie0&&(isNaN(t)||n>t)&&(f.v(this.TAG,`Update MediaSource duration from ${t} to ${n}`),this._mediaSource.duration=n),this._requireSetMediaDuration=!1,this._pendingMediaDuration=0}_doRemoveRanges(){for(let e in this._pendingRemoveRanges){if(!this._sourceBuffers[e]||this._sourceBuffers[e].updating)continue;let t=this._sourceBuffers[e],n=this._pendingRemoveRanges[e];for(;n.length&&!t.updating;){let r=n.shift();t.remove(r.start,r.end)}}}_doAppendSegments(){let e=this._pendingSegments;for(let t in e)if(!(!this._sourceBuffers[t]||this._sourceBuffers[t].updating)&&e[t].length>0){let n=e[t].shift();if(n.timestampOffset){let r=this._sourceBuffers[t].timestampOffset,s=n.timestampOffset/1e3;Math.abs(r-s)>.1&&(f.v(this.TAG,`Update MPEG audio timestampOffset from ${r} to ${s}`),this._sourceBuffers[t].timestampOffset=s),delete n.timestampOffset}if(!n.data||n.data.byteLength===0)continue;try{this._sourceBuffers[t].appendBuffer(n.data),this._isBufferFull=!1,t==="video"&&n.hasOwnProperty("info")&&this._idrList.appendArray(n.info.syncPoints)}catch(r){this._pendingSegments[t].unshift(n),r.code===22?(this._isBufferFull||this._emitter.emit(lt.BUFFER_FULL),this._isBufferFull=!0):(f.e(this.TAG,r.message),this._emitter.emit(lt.ERROR,{code:r.code,msg:r.message}))}}}_onSourceOpen(){if(f.v(this.TAG,"MediaSource onSourceOpen"),this._mediaSource.removeEventListener("sourceopen",this.e.onSourceOpen),this._pendingSourceBufferInit.length>0){let e=this._pendingSourceBufferInit;for(;e.length;){let t=e.shift();this.appendInitSegment(t,!0)}}this._hasPendingSegments()&&this._doAppendSegments(),this._emitter.emit(lt.SOURCE_OPEN)}_onSourceEnded(){f.v(this.TAG,"MediaSource onSourceEnded")}_onSourceClose(){f.v(this.TAG,"MediaSource onSourceClose"),this._mediaSource&&this.e!=null&&(this._mediaSource.removeEventListener("sourceopen",this.e.onSourceOpen),this._mediaSource.removeEventListener("sourceended",this.e.onSourceEnded),this._mediaSource.removeEventListener("sourceclose",this.e.onSourceClose))}_hasPendingSegments(){let e=this._pendingSegments;return e.video.length>0||e.audio.length>0}_hasPendingRemoveRanges(){let e=this._pendingRemoveRanges;return e.video.length>0||e.audio.length>0}_onSourceBufferUpdateEnd(){this._requireSetMediaDuration?this._updateMediaSourceDuration():this._hasPendingRemoveRanges()?this._doRemoveRanges():this._hasPendingSegments()?this._doAppendSegments():this._hasPendingEos&&this.endOfStream(),this._emitter.emit(lt.UPDATE_END)}_onSourceBufferError(e){f.e(this.TAG,`SourceBuffer Error: ${e}`)}}var Ue=pt;const Ke={NETWORK_ERROR:"NetworkError",MEDIA_ERROR:"MediaError",OTHER_ERROR:"OtherError"},rt={NETWORK_EXCEPTION:re.EXCEPTION,NETWORK_STATUS_CODE_INVALID:re.HTTP_STATUS_CODE_INVALID,NETWORK_TIMEOUT:re.CONNECTING_TIMEOUT,NETWORK_UNRECOVERABLE_EARLY_EOF:re.UNRECOVERABLE_EARLY_EOF,MEDIA_MSE_ERROR:"MediaMSEError",MEDIA_FORMAT_ERROR:a.FORMAT_ERROR,MEDIA_FORMAT_UNSUPPORTED:a.FORMAT_UNSUPPORTED,MEDIA_CODEC_UNSUPPORTED:a.CODEC_UNSUPPORTED};class Et{constructor(e,t){if(this.TAG="FlvPlayer",this._type="FlvPlayer",this._emitter=new(q()),this._config=H(),typeof t=="object"&&Object.assign(this._config,t),e.type.toLowerCase()!=="flv")throw new ue("FlvPlayer requires an flv MediaDataSource input!");e.isLive===!0&&(this._config.isLive=!0),this.e={onvLoadedMetadata:this._onvLoadedMetadata.bind(this),onvSeeking:this._onvSeeking.bind(this),onvCanPlay:this._onvCanPlay.bind(this),onvStalled:this._onvStalled.bind(this),onvProgress:this._onvProgress.bind(this)},self.performance&&self.performance.now?this._now=self.performance.now.bind(self.performance):this._now=Date.now,this._pendingSeekTime=null,this._requestSetTime=!1,this._seekpointRecord=null,this._progressChecker=null,this._mediaDataSource=e,this._mediaElement=null,this._msectl=null,this._transmuxer=null,this._mseSourceOpened=!1,this._hasPendingLoad=!1,this._receivedCanPlay=!1,this._mediaInfo=null,this._statisticsInfo=null;let n=K.chrome&&(K.version.major<50||K.version.major===50&&K.version.build<2661);this._alwaysSeekKeyframe=!!(n||K.msedge||K.msie),this._alwaysSeekKeyframe&&(this._config.accurateSeek=!1)}destroy(){this._progressChecker!=null&&(window.clearInterval(this._progressChecker),this._progressChecker=null),this._transmuxer&&this.unload(),this._mediaElement&&this.detachMediaElement(),this.e=null,this._mediaDataSource=null,this._emitter.removeAllListeners(),this._emitter=null}on(e,t){e===V.MEDIA_INFO?this._mediaInfo!=null&&Promise.resolve().then(()=>{this._emitter.emit(V.MEDIA_INFO,this.mediaInfo)}):e===V.STATISTICS_INFO&&this._statisticsInfo!=null&&Promise.resolve().then(()=>{this._emitter.emit(V.STATISTICS_INFO,this.statisticsInfo)}),this._emitter.addListener(e,t)}off(e,t){this._emitter.removeListener(e,t)}attachMediaElement(e){if(this._mediaElement=e,e.addEventListener("loadedmetadata",this.e.onvLoadedMetadata),e.addEventListener("seeking",this.e.onvSeeking),e.addEventListener("canplay",this.e.onvCanPlay),e.addEventListener("stalled",this.e.onvStalled),e.addEventListener("progress",this.e.onvProgress),this._msectl=new Ue(this._config),this._msectl.on(lt.UPDATE_END,this._onmseUpdateEnd.bind(this)),this._msectl.on(lt.BUFFER_FULL,this._onmseBufferFull.bind(this)),this._msectl.on(lt.SOURCE_OPEN,()=>{this._mseSourceOpened=!0,this._hasPendingLoad&&(this._hasPendingLoad=!1,this.load())}),this._msectl.on(lt.ERROR,t=>{this._emitter.emit(V.ERROR,Ke.MEDIA_ERROR,rt.MEDIA_MSE_ERROR,t)}),this._msectl.attachMediaElement(e),this._pendingSeekTime!=null)try{e.currentTime=this._pendingSeekTime,this._pendingSeekTime=null}catch(t){}}detachMediaElement(){this._mediaElement&&(this._msectl.detachMediaElement(),this._mediaElement.removeEventListener("loadedmetadata",this.e.onvLoadedMetadata),this._mediaElement.removeEventListener("seeking",this.e.onvSeeking),this._mediaElement.removeEventListener("canplay",this.e.onvCanPlay),this._mediaElement.removeEventListener("stalled",this.e.onvStalled),this._mediaElement.removeEventListener("progress",this.e.onvProgress),this._mediaElement=null),this._msectl&&(this._msectl.destroy(),this._msectl=null)}load(){if(!this._mediaElement)throw new _e("HTMLMediaElement must be attached before load()!");if(this._transmuxer)throw new _e("FlvPlayer.load() has been called, please call unload() first!");if(!this._hasPendingLoad){if(this._config.deferLoadAfterSourceOpen&&this._mseSourceOpened===!1){this._hasPendingLoad=!0;return}this._mediaElement.readyState>0&&(this._requestSetTime=!0,this._mediaElement.currentTime=0),this._transmuxer=new yt(this._mediaDataSource,this._config),this._transmuxer.on(X.INIT_SEGMENT,(e,t)=>{this._msectl.appendInitSegment(t)}),this._transmuxer.on(X.MEDIA_SEGMENT,(e,t)=>{if(this._msectl.appendMediaSegment(t),this._config.lazyLoad&&!this._config.isLive){let n=this._mediaElement.currentTime;t.info.endDts>=(n+this._config.lazyLoadMaxDuration)*1e3&&this._progressChecker==null&&(f.v(this.TAG,"Maximum buffering duration exceeded, suspend transmuxing task"),this._suspendTransmuxer())}}),this._transmuxer.on(X.LOADING_COMPLETE,()=>{this._msectl.endOfStream(),this._emitter.emit(V.LOADING_COMPLETE)}),this._transmuxer.on(X.RECOVERED_EARLY_EOF,()=>{this._emitter.emit(V.RECOVERED_EARLY_EOF)}),this._transmuxer.on(X.IO_ERROR,(e,t)=>{this._emitter.emit(V.ERROR,Ke.NETWORK_ERROR,e,t)}),this._transmuxer.on(X.DEMUX_ERROR,(e,t)=>{this._emitter.emit(V.ERROR,Ke.MEDIA_ERROR,e,{code:-1,msg:t})}),this._transmuxer.on(X.MEDIA_INFO,e=>{this._mediaInfo=e,this._emitter.emit(V.MEDIA_INFO,Object.assign({},e))}),this._transmuxer.on(X.METADATA_ARRIVED,e=>{this._emitter.emit(V.METADATA_ARRIVED,e)}),this._transmuxer.on(X.SCRIPTDATA_ARRIVED,e=>{this._emitter.emit(V.SCRIPTDATA_ARRIVED,e)}),this._transmuxer.on(X.STATISTICS_INFO,e=>{this._statisticsInfo=this._fillStatisticsInfo(e),this._emitter.emit(V.STATISTICS_INFO,Object.assign({},this._statisticsInfo))}),this._transmuxer.on(X.RECOMMEND_SEEKPOINT,e=>{this._mediaElement&&!this._config.accurateSeek&&(this._requestSetTime=!0,this._mediaElement.currentTime=e/1e3)}),this._transmuxer.open()}}unload(){this._mediaElement&&this._mediaElement.pause(),this._msectl&&this._msectl.seek(0),this._transmuxer&&(this._transmuxer.close(),this._transmuxer.destroy(),this._transmuxer=null)}play(){return this._mediaElement.play()}pause(){this._mediaElement.pause()}get type(){return this._type}get buffered(){return this._mediaElement.buffered}get duration(){return this._mediaElement.duration}get volume(){return this._mediaElement.volume}set volume(e){this._mediaElement.volume=e}get muted(){return this._mediaElement.muted}set muted(e){this._mediaElement.muted=e}get currentTime(){return this._mediaElement?this._mediaElement.currentTime:0}set currentTime(e){this._mediaElement?this._internalSeek(e):this._pendingSeekTime=e}get mediaInfo(){return Object.assign({},this._mediaInfo)}get statisticsInfo(){return this._statisticsInfo==null&&(this._statisticsInfo={}),this._statisticsInfo=this._fillStatisticsInfo(this._statisticsInfo),Object.assign({},this._statisticsInfo)}_fillStatisticsInfo(e){if(e.playerType=this._type,!(this._mediaElement instanceof HTMLVideoElement))return e;let t=!0,n=0,r=0;if(this._mediaElement.getVideoPlaybackQuality){let s=this._mediaElement.getVideoPlaybackQuality();n=s.totalVideoFrames,r=s.droppedVideoFrames}else this._mediaElement.webkitDecodedFrameCount!=null?(n=this._mediaElement.webkitDecodedFrameCount,r=this._mediaElement.webkitDroppedFrameCount):t=!1;return t&&(e.decodedFrames=n,e.droppedFrames=r),e}_onmseUpdateEnd(){if(!this._config.lazyLoad||this._config.isLive)return;let e=this._mediaElement.buffered,t=this._mediaElement.currentTime,n=0,r=0;for(let s=0;s=t+this._config.lazyLoadMaxDuration&&this._progressChecker==null&&(f.v(this.TAG,"Maximum buffering duration exceeded, suspend transmuxing task"),this._suspendTransmuxer())}_onmseBufferFull(){f.v(this.TAG,"MSE SourceBuffer is full, suspend transmuxing task"),this._progressChecker==null&&this._suspendTransmuxer()}_suspendTransmuxer(){this._transmuxer&&(this._transmuxer.pause(),this._progressChecker==null&&(this._progressChecker=window.setInterval(this._checkProgressAndResume.bind(this),1e3)))}_checkProgressAndResume(){let e=this._mediaElement.currentTime,t=this._mediaElement.buffered,n=!1;for(let r=0;r=s&&e=S-this._config.lazyLoadRecoverDuration&&(n=!0);break}}n&&(window.clearInterval(this._progressChecker),this._progressChecker=null,n&&(f.v(this.TAG,"Continue loading from paused position"),this._transmuxer.resume()))}_isTimepointBuffered(e){let t=this._mediaElement.buffered;for(let n=0;n=r&&e0){let s=this._mediaElement.buffered.start(0);(s<1&&e0&&t.currentTime0){let r=n.start(0);if(r<1&&t{this._emitter.emit(V.MEDIA_INFO,this.mediaInfo)}):e===V.STATISTICS_INFO&&this._mediaElement!=null&&this._mediaElement.readyState!==0&&Promise.resolve().then(()=>{this._emitter.emit(V.STATISTICS_INFO,this.statisticsInfo)}),this._emitter.addListener(e,t)}off(e,t){this._emitter.removeListener(e,t)}attachMediaElement(e){if(this._mediaElement=e,e.addEventListener("loadedmetadata",this.e.onvLoadedMetadata),this._pendingSeekTime!=null)try{e.currentTime=this._pendingSeekTime,this._pendingSeekTime=null}catch(t){}}detachMediaElement(){this._mediaElement&&(this._mediaElement.src="",this._mediaElement.removeAttribute("src"),this._mediaElement.removeEventListener("loadedmetadata",this.e.onvLoadedMetadata),this._mediaElement=null),this._statisticsReporter!=null&&(window.clearInterval(this._statisticsReporter),this._statisticsReporter=null)}load(){if(!this._mediaElement)throw new _e("HTMLMediaElement must be attached before load()!");this._mediaElement.src=this._mediaDataSource.url,this._mediaElement.readyState>0&&(this._mediaElement.currentTime=0),this._mediaElement.preload="auto",this._mediaElement.load(),this._statisticsReporter=window.setInterval(this._reportStatisticsInfo.bind(this),this._config.statisticsInfoReportInterval)}unload(){this._mediaElement&&(this._mediaElement.src="",this._mediaElement.removeAttribute("src")),this._statisticsReporter!=null&&(window.clearInterval(this._statisticsReporter),this._statisticsReporter=null)}play(){return this._mediaElement.play()}pause(){this._mediaElement.pause()}get type(){return this._type}get buffered(){return this._mediaElement.buffered}get duration(){return this._mediaElement.duration}get volume(){return this._mediaElement.volume}set volume(e){this._mediaElement.volume=e}get muted(){return this._mediaElement.muted}set muted(e){this._mediaElement.muted=e}get currentTime(){return this._mediaElement?this._mediaElement.currentTime:0}set 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",ce="data:image/png;base64,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",Se="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAEgAAAAvCAYAAABAHIylAAAGUUlEQVRoQ+2bf2xTVRTHv+f2rStjQBAJIgmCYoKKEkLXdQUCHUy2gaAhNLAfKP8IkYQIMRqIusyfBAEjEv/Af4C2C2IgRmAFgRZIWLsfTBKj/0zxJyIgojC20b13j3mF6RzbXl/3gxne7R9t7j33nnM/97xzT3tvCbdKpPr0fCn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",R="data:image/png;base64,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",Et="data:image/png;base64,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",Pt="data:image/png;base64,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",Gt="data:image/png;base64,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",o="data:image/png;base64,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",d="data:image/png;base64,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ArrayBuffer(this._bufferSize),this._stashByteStart=0,this._enableStash=!0,n.enableStashBuffer===!1&&(this._enableStash=!1),this._loader=null,this._loaderClass=null,this._seekHandler=null,this._dataSource=e,this._isWebSocketURL=/wss?:\/\/(.+?)/.test(e.url),this._refTotalLength=e.filesize?e.filesize:null,this._totalLength=this._refTotalLength,this._fullRequestFlag=!1,this._currentRange=null,this._redirectedURL=null,this._speedNormalized=0,this._speedSampler=new 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this._extraData}set extraData(e){this._extraData=e}get onDataArrival(){return this._onDataArrival}set onDataArrival(e){this._onDataArrival=e}get onSeeked(){return this._onSeeked}set onSeeked(e){this._onSeeked=e}get onError(){return this._onError}set onError(e){this._onError=e}get onComplete(){return this._onComplete}set onComplete(e){this._onComplete=e}get onRedirect(){return this._onRedirect}set onRedirect(e){this._onRedirect=e}get onRecoveredEarlyEof(){return this._onRecoveredEarlyEof}set onRecoveredEarlyEof(e){this._onRecoveredEarlyEof=e}get currentURL(){return this._dataSource.url}get hasRedirect(){return this._redirectedURL!=null||this._dataSource.redirectedURL!=null}get currentRedirectedURL(){return this._redirectedURL||this._dataSource.redirectedURL}get currentSpeed(){return this._loaderClass===Ht?this._loader.currentSpeed:this._speedSampler.lastSecondKBps}get loaderType(){return this._loader.type}_selectSeekHandler(){let e=this._config;if(e.seekType==="range")this._seekHandler=new ut(this._config.rangeLoadZeroStart);else if(e.seekType==="param"){let n=e.seekParamStart||"bstart",r=e.seekParamEnd||"bend";this._seekHandler=new Se(n,r)}else if(e.seekType==="custom"){if(typeof e.customSeekHandler!="function")throw new Fe("Custom seekType specified in config but invalid customSeekHandler!");this._seekHandler=new e.customSeekHandler}else throw new Fe(`Invalid seekType in config: ${e.seekType}`)}_selectLoader(){if(this._config.customLoader!=null)this._loaderClass=this._config.customLoader;else if(this._isWebSocketURL)this._loaderClass=ln;else if(ae.isSupported())this._loaderClass=ae;else if(ee.isSupported())this._loaderClass=ee;else if(Ht.isSupported())this._loaderClass=Ht;else throw new G("Your browser doesn't support xhr with arraybuffer responseType!")}_createLoader(){this._loader=new this._loaderClass(this._seekHandler,this._config),this._loader.needStashBuffer===!1&&(this._enableStash=!1),this._loader.onContentLengthKnown=this._onContentLengthKnown.bind(this),this._loader.onURLRedirect=this._onURLRedirect.bind(this),this._loader.onDataArrival=this._onLoaderChunkArrival.bind(this),this._loader.onComplete=this._onLoaderComplete.bind(this),this._loader.onError=this._onLoaderError.bind(this)}open(e){this._currentRange={from:0,to:-1},e&&(this._currentRange.from=e),this._speedSampler.reset(),e||(this._fullRequestFlag=!0),this._loader.open(this._dataSource,Object.assign({},this._currentRange))}abort(){this._loader.abort(),this._paused&&(this._paused=!1,this._resumeFrom=0)}pause(){this.isWorking()&&(this._loader.abort(),this._stashUsed!==0?(this._resumeFrom=this._stashByteStart,this._currentRange.to=this._stashByteStart-1):this._resumeFrom=this._currentRange.to+1,this._stashUsed=0,this._stashByteStart=0,this._paused=!0)}resume(){if(this._paused){this._paused=!1;let e=this._resumeFrom;this._resumeFrom=0,this._internalSeek(e,!0)}}seek(e){this._paused=!1,this._stashUsed=0,this._stashByteStart=0,this._internalSeek(e,!0)}_internalSeek(e,n){this._loader.isWorking()&&this._loader.abort(),this._flushStashBuffer(n),this._loader.destroy(),this._loader=null;let r={from:e,to:-1};this._currentRange={from:r.from,to:-1},this._speedSampler.reset(),this._stashSize=this._stashInitialSize,this._createLoader(),this._loader.open(this._dataSource,r),this._onSeeked&&this._onSeeked()}updateUrl(e){if(!e||typeof e!="string"||e.length===0)throw new Fe("Url must be a non-empty string!");this._dataSource.url=e}_expandBuffer(e){let n=this._stashSize;for(;n+1024*1024*10){let o=new Uint8Array(this._stashBuffer,0,this._stashUsed);new Uint8Array(r,0,n).set(o,0)}this._stashBuffer=r,this._bufferSize=n}_normalizeSpeed(e){let n=this._speedNormalizeList,r=n.length-1,o=0,d=0,C=r;if(e=n[o]&&e=512&&e<=1024?n=Math.floor(e*1.5):n=e*2,n>8192&&(n=8192);let r=n*1024+1024*1024*1;this._bufferSize0){let C=this._stashBuffer.slice(0,this._stashUsed),N=this._dispatchChunks(C,this._stashByteStart);if(N0){let ze=new Uint8Array(C,N);d.set(ze,0),this._stashUsed=ze.byteLength,this._stashByteStart+=N}}else this._stashUsed=0,this._stashByteStart+=N;this._stashUsed+e.byteLength>this._bufferSize&&(this._expandBuffer(this._stashUsed+e.byteLength),d=new Uint8Array(this._stashBuffer,0,this._bufferSize)),d.set(new Uint8Array(e),this._stashUsed),this._stashUsed+=e.byteLength}else{let C=this._dispatchChunks(e,n);if(Cthis._bufferSize&&(this._expandBuffer(N),d=new Uint8Array(this._stashBuffer,0,this._bufferSize)),d.set(new Uint8Array(e,C),0),this._stashUsed+=N,this._stashByteStart=n+C}}}else if(this._stashUsed===0){let d=this._dispatchChunks(e,n);if(dthis._bufferSize&&this._expandBuffer(C),new Uint8Array(this._stashBuffer,0,this._bufferSize).set(new Uint8Array(e,d),0),this._stashUsed+=C,this._stashByteStart=n+d}}else{this._stashUsed+e.byteLength>this._bufferSize&&this._expandBuffer(this._stashUsed+e.byteLength);let d=new Uint8Array(this._stashBuffer,0,this._bufferSize);d.set(new Uint8Array(e),this._stashUsed),this._stashUsed+=e.byteLength;let C=this._dispatchChunks(this._stashBuffer.slice(0,this._stashUsed),this._stashByteStart);if(C0){let N=new Uint8Array(this._stashBuffer,C);d.set(N,0)}this._stashUsed-=C,this._stashByteStart+=C}}_flushStashBuffer(e){if(this._stashUsed>0){let n=this._stashBuffer.slice(0,this._stashUsed),r=this._dispatchChunks(n,this._stashByteStart),o=n.byteLength-r;if(r0){let d=new Uint8Array(this._stashBuffer,0,this._bufferSize),C=new Uint8Array(n,r);d.set(C,0),this._stashUsed=C.byteLength,this._stashByteStart+=r}return 0}return this._stashUsed=0,this._stashByteStart=0,o}return 0}_onLoaderComplete(e,n){this._flushStashBuffer(!0),this._onComplete&&this._onComplete(this._extraData)}_onLoaderError(e,n){switch(M.e(this.TAG,`Loader error, code = ${n.code}, msg = ${n.msg}`),this._flushStashBuffer(!1),this._isEarlyEofReconnecting&&(this._isEarlyEofReconnecting=!1,e=ye.UNRECOVERABLE_EARLY_EOF),e){case ye.EARLY_EOF:{if(!this._config.isLive&&this._totalLength){let r=this._currentRange.to+1;r0){let n=St.getConfig();e.emit("change",n)}}static registerListener(e){St.emitter.addListener("change",e)}static removeListener(e){St.emitter.removeListener("change",e)}static addLogListener(e){M.emitter.addListener("log",e),M.emitter.listenerCount("log")>0&&(M.ENABLE_CALLBACK=!0,St._notifyChange())}static removeLogListener(e){M.emitter.removeListener("log",e),M.emitter.listenerCount("log")===0&&(M.ENABLE_CALLBACK=!1,St._notifyChange())}}St.emitter=new(te());var tt=St;class yn{constructor(){this.mimeType=null,this.duration=null,this.hasAudio=null,this.hasVideo=null,this.audioCodec=null,this.videoCodec=null,this.audioDataRate=null,this.videoDataRate=null,this.audioSampleRate=null,this.audioChannelCount=null,this.width=null,this.height=null,this.fps=null,this.profile=null,this.level=null,this.refFrames=null,this.chromaFormat=null,this.sarNum=null,this.sarDen=null,this.metadata=null,this.segments=null,this.segmentCount=null,this.hasKeyframesIndex=null,this.keyframesIndex=null}isComplete(){let e=this.hasAudio===!1||this.hasAudio===!0&&this.audioCodec!=null&&this.audioSampleRate!=null&&this.audioChannelCount!=null,n=this.hasVideo===!1||this.hasVideo===!0&&this.videoCodec!=null&&this.width!=null&&this.height!=null&&this.fps!=null&&this.profile!=null&&this.level!=null&&this.refFrames!=null&&this.chromaFormat!=null&&this.sarNum!=null&&this.sarDen!=null;return this.mimeType!=null&&this.duration!=null&&this.metadata!=null&&this.hasKeyframesIndex!=null&&e&&n}isSeekable(){return this.hasKeyframesIndex===!0}getNearestKeyframe(e){if(this.keyframesIndex==null)return null;let n=this.keyframesIndex,r=this._search(n.times,e);return{index:r,milliseconds:n.times[r],fileposition:n.filepositions[r]}}_search(e,n){let r=0,o=e.length-1,d=0,C=0,N=o;for(n=e[d]&&n=128){e.push(String.fromCharCode(d&65535)),r+=2;continue}}}else if(n[r]<240){if(kt(n,r,2)){let d=(n[r]&15)<<12|(n[r+1]&63)<<6|n[r+2]&63;if(d>=2048&&(d&63488)!==55296){e.push(String.fromCharCode(d&65535)),r+=3;continue}}}else if(n[r]<248&&kt(n,r,3)){let d=(n[r]&7)<<18|(n[r+1]&63)<<12|(n[r+2]&63)<<6|n[r+3]&63;if(d>65536&&d<1114112){d-=65536,e.push(String.fromCharCode(d>>>10|55296)),e.push(String.fromCharCode(d&1023|56320)),r+=4;continue}}}e.push("\uFFFD"),++r}return e.join("")}var Wn=Mn;let Le=function(){let W=new ArrayBuffer(2);return new DataView(W).setInt16(0,256,!0),new Int16Array(W)[0]===256}();class Ct{static parseScriptData(e,n,r){let o={};try{let d=Ct.parseValue(e,n,r),C=Ct.parseValue(e,n+d.size,r-d.size);o[d.data]=C.data}catch(d){M.e("AMF",d.toString())}return o}static parseObject(e,n,r){if(r<3)throw new Je("Data not enough when parse ScriptDataObject");let o=Ct.parseString(e,n,r),d=Ct.parseValue(e,n+o.size,r-o.size),C=d.objectEnd;return{data:{name:o.data,value:d.data},size:o.size+d.size,objectEnd:C}}static parseVariable(e,n,r){return Ct.parseObject(e,n,r)}static parseString(e,n,r){if(r<2)throw new Je("Data not enough when parse String");let d=new DataView(e,n,r).getUint16(0,!Le),C;return d>0?C=Wn(new Uint8Array(e,n+2,d)):C="",{data:C,size:2+d}}static parseLongString(e,n,r){if(r<4)throw new Je("Data not enough when parse LongString");let d=new DataView(e,n,r).getUint32(0,!Le),C;return d>0?C=Wn(new Uint8Array(e,n+4,d)):C="",{data:C,size:4+d}}static parseDate(e,n,r){if(r<10)throw new Je("Data size invalid when parse Date");let o=new DataView(e,n,r),d=o.getFloat64(0,!Le),C=o.getInt16(8,!Le);return d+=C*60*1e3,{data:new Date(d),size:10}}static parseValue(e,n,r){if(r<1)throw new Je("Data not enough when parse Value");let o=new DataView(e,n,r),d=1,C=o.getUint8(0),N,ze=!1;try{switch(C){case 0:N=o.getFloat64(1,!Le),d+=8;break;case 1:{N=!!o.getUint8(1),d+=1;break}case 2:{let be=Ct.parseString(e,n+1,r-1);N=be.data,d+=be.size;break}case 3:{N={};let be=0;for((o.getUint32(r-4,!Le)&16777215)===9&&(be=3);d32)throw new Fe("ExpGolomb: readBits() bits exceeded max 32bits!");if(e<=this._current_word_bits_left){let C=this._current_word>>>32-e;return this._current_word<<=e,this._current_word_bits_left-=e,C}let n=this._current_word_bits_left?this._current_word:0;n=n>>>32-this._current_word_bits_left;let r=e-this._current_word_bits_left;this._fillCurrentWord();let o=Math.min(r,this._current_word_bits_left),d=this._current_word>>>32-o;return this._current_word<<=o,this._current_word_bits_left-=o,n=n<>>e)return this._current_word<<=e,this._current_word_bits_left-=e,e;return this._fillCurrentWord(),e+this._skipLeadingZero()}readUEG(){let e=this._skipLeadingZero();return this.readBits(e+1)-1}readSEG(){let e=this.readUEG();return e&1?e+1>>>1:-1*(e>>>1)}}var dn=En;class rn{static _ebsp2rbsp(e){let n=e,r=n.byteLength,o=new Uint8Array(r),d=0;for(let C=0;C=2&&n[C]===3&&n[C-1]===0&&n[C-2]===0||(o[d]=n[C],d++);return new Uint8Array(o.buffer,0,d)}static parseSPS(e){let n=rn._ebsp2rbsp(e),r=new dn(n);r.readByte();let o=r.readByte();r.readByte();let d=r.readByte();r.readUEG();let C=rn.getProfileString(o),N=rn.getLevelString(d),ze=1,be=420,ot=[0,420,422,444],Yt=8;if((o===100||o===110||o===122||o===244||o===44||o===83||o===86||o===118||o===128||o===138||o===144)&&(ze=r.readUEG(),ze===3&&r.readBits(1),ze<=3&&(be=ot[ze]),Yt=r.readUEG()+8,r.readUEG(),r.readBits(1),r.readBool())){let Er=ze!==3?8:12;for(let vr=0;vr0&&Er<16?(xn=vr[Er-1],Nt=Tr[Er-1]):Er===255&&(xn=r.readByte()<<8|r.readByte(),Nt=r.readByte()<<8|r.readByte())}if(r.readBool()&&r.readBool(),r.readBool()&&(r.readBits(4),r.readBool()&&r.readBits(24)),r.readBool()&&(r.readUEG(),r.readUEG()),r.readBool()){let Er=r.readBits(32),vr=r.readBits(32);Un=r.readBool(),lr=vr,Yn=Er*2,Sn=lr/Yn}}let Hr=1;(xn!==1||Nt!==1)&&(Hr=xn/Nt);let Dr=0,Yr=0;if(ze===0)Dr=1,Yr=2-Me;else{let Er=ze===3?1:2,vr=ze===1?2:1;Dr=Er,Yr=vr*(2-Me)}let zr=(xt+1)*16,Qr=(2-Me)*((it+1)*16);zr-=(ke+bt)*Dr,Qr-=(Mt+An)*Yr;let Gr=Math.ceil(zr*Hr);return r.destroy(),r=null,{profile_string:C,level_string:N,bit_depth:Yt,ref_frames:De,chroma_format:be,chroma_format_string:rn.getChromaFormatString(be),frame_rate:{fixed:Un,fps:Sn,fps_den:Yn,fps_num:lr},sar_ratio:{width:xn,height:Nt},codec_size:{width:zr,height:Qr},present_size:{width:Gr,height:Qr}}}static _skipScalingList(e,n){let r=8,o=8,d=0;for(let C=0;C>>8&255|(W&255)<<8}function S(W){return(W&4278190080)>>>24|(W&16711680)>>>8|(W&65280)<<8|(W&255)<<24}function y(W,e){return W[e]<<24|W[e+1]<<16|W[e+2]<<8|W[e+3]}class L{constructor(e,n){this.TAG="FLVDemuxer",this._config=n,this._onError=null,this._onMediaInfo=null,this._onMetaDataArrived=null,this._onScriptDataArrived=null,this._onTrackMetadata=null,this._onDataAvailable=null,this._dataOffset=e.dataOffset,this._firstParse=!0,this._dispatch=!1,this._hasAudio=e.hasAudioTrack,this._hasVideo=e.hasVideoTrack,this._hasAudioFlagOverrided=!1,this._hasVideoFlagOverrided=!1,this._audioInitialMetadataDispatched=!1,this._videoInitialMetadataDispatched=!1,this._mediaInfo=new Kt,this._mediaInfo.hasAudio=this._hasAudio,this._mediaInfo.hasVideo=this._hasVideo,this._metadata=null,this._audioMetadata=null,this._videoMetadata=null,this._naluLengthSize=4,this._timestampBase=0,this._timescale=1e3,this._duration=0,this._durationOverrided=!1,this._referenceFrameRate={fixed:!0,fps:23.976,fps_num:23976,fps_den:1e3},this._flvSoundRateTable=[5500,11025,22050,44100,48e3],this._mpegSamplingRates=[96e3,88200,64e3,48e3,44100,32e3,24e3,22050,16e3,12e3,11025,8e3,7350],this._mpegAudioV10SampleRateTable=[44100,48e3,32e3,0],this._mpegAudioV20SampleRateTable=[22050,24e3,16e3,0],this._mpegAudioV25SampleRateTable=[11025,12e3,8e3,0],this._mpegAudioL1BitRateTable=[0,32,64,96,128,160,192,224,256,288,320,352,384,416,448,-1],this._mpegAudioL2BitRateTable=[0,32,48,56,64,80,96,112,128,160,192,224,256,320,384,-1],this._mpegAudioL3BitRateTable=[0,32,40,48,56,64,80,96,112,128,160,192,224,256,320,-1],this._videoTrack={type:"video",id:1,sequenceNumber:0,samples:[],length:0},this._audioTrack={type:"audio",id:2,sequenceNumber:0,samples:[],length:0},this._littleEndian=function(){let r=new ArrayBuffer(2);return new DataView(r).setInt16(0,256,!0),new Int16Array(r)[0]===256}()}destroy(){this._mediaInfo=null,this._metadata=null,this._audioMetadata=null,this._videoMetadata=null,this._videoTrack=null,this._audioTrack=null,this._onError=null,this._onMediaInfo=null,this._onMetaDataArrived=null,this._onScriptDataArrived=null,this._onTrackMetadata=null,this._onDataAvailable=null}static probe(e){let n=new Uint8Array(e),r={match:!1};if(n[0]!==70||n[1]!==76||n[2]!==86||n[3]!==1)return r;let o=(n[4]&4)>>>2!==0,d=(n[4]&1)!==0,C=y(n,5);return C<9?r:{match:!0,consumed:C,dataOffset:C,hasAudioTrack:o,hasVideoTrack:d}}bindDataSource(e){return e.onDataArrival=this.parseChunks.bind(this),this}get onTrackMetadata(){return this._onTrackMetadata}set onTrackMetadata(e){this._onTrackMetadata=e}get onMediaInfo(){return this._onMediaInfo}set onMediaInfo(e){this._onMediaInfo=e}get onMetaDataArrived(){return this._onMetaDataArrived}set onMetaDataArrived(e){this._onMetaDataArrived=e}get onScriptDataArrived(){return this._onScriptDataArrived}set onScriptDataArrived(e){this._onScriptDataArrived=e}get onError(){return this._onError}set onError(e){this._onError=e}get onDataAvailable(){return this._onDataAvailable}set onDataAvailable(e){this._onDataAvailable=e}get timestampBase(){return this._timestampBase}set timestampBase(e){this._timestampBase=e}get overridedDuration(){return this._duration}set overridedDuration(e){this._durationOverrided=!0,this._duration=e,this._mediaInfo.duration=e}set overridedHasAudio(e){this._hasAudioFlagOverrided=!0,this._hasAudio=e,this._mediaInfo.hasAudio=e}set overridedHasVideo(e){this._hasVideoFlagOverrided=!0,this._hasVideo=e,this._mediaInfo.hasVideo=e}resetMediaInfo(){this._mediaInfo=new Kt}_isInitialMetadataDispatched(){return this._hasAudio&&this._hasVideo?this._audioInitialMetadataDispatched&&this._videoInitialMetadataDispatched:this._hasAudio&&!this._hasVideo?this._audioInitialMetadataDispatched:!this._hasAudio&&this._hasVideo?this._videoInitialMetadataDispatched:!1}parseChunks(e,n){if(!this._onError||!this._onMediaInfo||!this._onTrackMetadata||!this._onDataAvailable)throw new Je("Flv: onError & onMediaInfo & onTrackMetadata & onDataAvailable callback must be specified");let r=0,o=this._littleEndian;if(n===0)if(e.byteLength>13)r=L.probe(e).dataOffset;else return 0;for(this._firstParse&&(this._firstParse=!1,n+r!==this._dataOffset&&M.w(this.TAG,"First time parsing but chunk byteStart invalid!"),new DataView(e,r).getUint32(0,!o)!==0&&M.w(this.TAG,"PrevTagSize0 !== 0 !!!"),r+=4);re.byteLength)break;let C=d.getUint8(0),N=d.getUint32(0,!o)&16777215;if(r+11+N+4>e.byteLength)break;if(C!==8&&C!==9&&C!==18){M.w(this.TAG,`Unsupported tag type ${C}, skipped`),r+=11+N+4;continue}let ze=d.getUint8(4),be=d.getUint8(5),ot=d.getUint8(6),Yt=d.getUint8(7),je=ot|be<<8|ze<<16|Yt<<24;(d.getUint32(7,!o)&16777215)!==0&&M.w(this.TAG,"Meet tag which has StreamID != 0!");let xt=r+11;switch(C){case 8:this._parseAudioData(e,xt,N,je);break;case 9:this._parseVideoData(e,xt,N,je,n+r);break;case 18:this._parseScriptData(e,xt,N);break}let it=d.getUint32(11+N,!o);it!==11+N&&M.w(this.TAG,`Invalid PrevTagSize ${it}`),r+=11+N+4}return this._isInitialMetadataDispatched()&&this._dispatch&&(this._audioTrack.length||this._videoTrack.length)&&this._onDataAvailable(this._audioTrack,this._videoTrack),r}_parseScriptData(e,n,r){let o=Ze.parseScriptData(e,n,r);if(o.hasOwnProperty("onMetaData")){if(o.onMetaData==null||typeof o.onMetaData!="object"){M.w(this.TAG,"Invalid onMetaData structure!");return}this._metadata&&M.w(this.TAG,"Found another onMetaData tag!"),this._metadata=o;let d=this._metadata.onMetaData;if(this._onMetaDataArrived&&this._onMetaDataArrived(Object.assign({},d)),typeof d.hasAudio=="boolean"&&this._hasAudioFlagOverrided===!1&&(this._hasAudio=d.hasAudio,this._mediaInfo.hasAudio=this._hasAudio),typeof d.hasVideo=="boolean"&&this._hasVideoFlagOverrided===!1&&(this._hasVideo=d.hasVideo,this._mediaInfo.hasVideo=this._hasVideo),typeof d.audiodatarate=="number"&&(this._mediaInfo.audioDataRate=d.audiodatarate),typeof d.videodatarate=="number"&&(this._mediaInfo.videoDataRate=d.videodatarate),typeof d.width=="number"&&(this._mediaInfo.width=d.width),typeof d.height=="number"&&(this._mediaInfo.height=d.height),typeof d.duration=="number"){if(!this._durationOverrided){let C=Math.floor(d.duration*this._timescale);this._duration=C,this._mediaInfo.duration=C}}else this._mediaInfo.duration=0;if(typeof d.framerate=="number"){let C=Math.floor(d.framerate*1e3);if(C>0){let N=C/1e3;this._referenceFrameRate.fixed=!0,this._referenceFrameRate.fps=N,this._referenceFrameRate.fps_num=C,this._referenceFrameRate.fps_den=1e3,this._mediaInfo.fps=N}}if(typeof d.keyframes=="object"){this._mediaInfo.hasKeyframesIndex=!0;let C=d.keyframes;this._mediaInfo.keyframesIndex=this._parseKeyframesIndex(C),d.keyframes=null}else this._mediaInfo.hasKeyframesIndex=!1;this._dispatch=!1,this._mediaInfo.metadata=d,M.v(this.TAG,"Parsed onMetaData"),this._mediaInfo.isComplete()&&this._onMediaInfo(this._mediaInfo)}Object.keys(o).length>0&&this._onScriptDataArrived&&this._onScriptDataArrived(Object.assign({},o))}_parseKeyframesIndex(e){let n=[],r=[];for(let o=1;o>>4;if(ze!==2&&ze!==10){this._onError(Gt.CODEC_UNSUPPORTED,"Flv: Unsupported audio codec idx: "+ze);return}let be=0,ot=(N&12)>>>2;if(ot>=0&&ot<=4)be=this._flvSoundRateTable[ot];else{this._onError(Gt.FORMAT_ERROR,"Flv: Invalid audio sample rate idx: "+ot);return}let Yt=(N&2)>>>1,je=N&1,De=this._audioMetadata,xt=this._audioTrack;if(De||(this._hasAudio===!1&&this._hasAudioFlagOverrided===!1&&(this._hasAudio=!0,this._mediaInfo.hasAudio=!0),De=this._audioMetadata={},De.type="audio",De.id=xt.id,De.timescale=this._timescale,De.duration=this._duration,De.audioSampleRate=be,De.channelCount=je===0?1:2),ze===10){let it=this._parseAACAudioData(e,n+1,r-1);if(it==null)return;if(it.packetType===0){De.config&&M.w(this.TAG,"Found another AudioSpecificConfig!");let Me=it.data;De.audioSampleRate=Me.samplingRate,De.channelCount=Me.channelCount,De.codec=Me.codec,De.originalCodec=Me.originalCodec,De.config=Me.config,De.refSampleDuration=1024/De.audioSampleRate*De.timescale,M.v(this.TAG,"Parsed AudioSpecificConfig"),this._isInitialMetadataDispatched()?this._dispatch&&(this._audioTrack.length||this._videoTrack.length)&&this._onDataAvailable(this._audioTrack,this._videoTrack):this._audioInitialMetadataDispatched=!0,this._dispatch=!1,this._onTrackMetadata("audio",De);let ke=this._mediaInfo;ke.audioCodec=De.originalCodec,ke.audioSampleRate=De.audioSampleRate,ke.audioChannelCount=De.channelCount,ke.hasVideo?ke.videoCodec!=null&&(ke.mimeType='video/x-flv; codecs="'+ke.videoCodec+","+ke.audioCodec+'"'):ke.mimeType='video/x-flv; codecs="'+ke.audioCodec+'"',ke.isComplete()&&this._onMediaInfo(ke)}else if(it.packetType===1){let Me=this._timestampBase+o,ke={unit:it.data,length:it.data.byteLength,dts:Me,pts:Me};xt.samples.push(ke),xt.length+=it.data.length}else M.e(this.TAG,`Flv: Unsupported AAC data type ${it.packetType}`)}else if(ze===2){if(!De.codec){let bt=this._parseMP3AudioData(e,n+1,r-1,!0);if(bt==null)return;De.audioSampleRate=bt.samplingRate,De.channelCount=bt.channelCount,De.codec=bt.codec,De.originalCodec=bt.originalCodec,De.refSampleDuration=1152/De.audioSampleRate*De.timescale,M.v(this.TAG,"Parsed MPEG Audio Frame Header"),this._audioInitialMetadataDispatched=!0,this._onTrackMetadata("audio",De);let Mt=this._mediaInfo;Mt.audioCodec=De.codec,Mt.audioSampleRate=De.audioSampleRate,Mt.audioChannelCount=De.channelCount,Mt.audioDataRate=bt.bitRate,Mt.hasVideo?Mt.videoCodec!=null&&(Mt.mimeType='video/x-flv; codecs="'+Mt.videoCodec+","+Mt.audioCodec+'"'):Mt.mimeType='video/x-flv; codecs="'+Mt.audioCodec+'"',Mt.isComplete()&&this._onMediaInfo(Mt)}let it=this._parseMP3AudioData(e,n+1,r-1,!1);if(it==null)return;let Me=this._timestampBase+o,ke={unit:it,length:it.byteLength,dts:Me,pts:Me};xt.samples.push(ke),xt.length+=it.length}}_parseAACAudioData(e,n,r){if(r<=1){M.w(this.TAG,"Flv: Invalid AAC packet, missing AACPacketType or/and Data!");return}let o={},d=new Uint8Array(e,n,r);return o.packetType=d[0],d[0]===0?o.data=this._parseAACAudioSpecificConfig(e,n+1,r-1):o.data=d.subarray(1),o}_parseAACAudioSpecificConfig(e,n,r){let o=new Uint8Array(e,n,r),d=null,C=0,N=0,ze=null,be=0,ot=null;if(C=N=o[0]>>>3,be=(o[0]&7)<<1|o[1]>>>7,be<0||be>=this._mpegSamplingRates.length){this._onError(Gt.FORMAT_ERROR,"Flv: AAC invalid sampling frequency index!");return}let Yt=this._mpegSamplingRates[be],je=(o[1]&120)>>>3;if(je<0||je>=8){this._onError(Gt.FORMAT_ERROR,"Flv: AAC invalid channel configuration");return}C===5&&(ot=(o[1]&7)<<1|o[2]>>>7,ze=(o[2]&124)>>>2);let De=self.navigator.userAgent.toLowerCase();return De.indexOf("firefox")!==-1?be>=6?(C=5,d=new Array(4),ot=be-3):(C=2,d=new Array(2),ot=be):De.indexOf("android")!==-1?(C=2,d=new Array(2),ot=be):(C=5,ot=be,d=new Array(4),be>=6?ot=be-3:je===1&&(C=2,d=new Array(2),ot=be)),d[0]=C<<3,d[0]|=(be&15)>>>1,d[1]=(be&15)<<7,d[1]|=(je&15)<<3,C===5&&(d[1]|=(ot&15)>>>1,d[2]=(ot&1)<<7,d[2]|=8,d[3]=0),{config:d,samplingRate:Yt,channelCount:je,codec:"mp4a.40."+C,originalCodec:"mp4a.40."+N}}_parseMP3AudioData(e,n,r,o){if(r<4){M.w(this.TAG,"Flv: Invalid MP3 packet, header missing!");return}let d=this._littleEndian,C=new Uint8Array(e,n,r),N=null;if(o){if(C[0]!==255)return;let ze=C[1]>>>3&3,be=(C[1]&6)>>1,ot=(C[2]&240)>>>4,Yt=(C[2]&12)>>>2,De=(C[3]>>>6&3)!==3?2:1,xt=0,it=0,Me=34,ke="mp3";switch(ze){case 0:xt=this._mpegAudioV25SampleRateTable[Yt];break;case 2:xt=this._mpegAudioV20SampleRateTable[Yt];break;case 3:xt=this._mpegAudioV10SampleRateTable[Yt];break}switch(be){case 1:Me=34,ot>>4,ze=C&15;if(ze!==7){this._onError(Gt.CODEC_UNSUPPORTED,`Flv: Unsupported codec in video frame: ${ze}`);return}this._parseAVCVideoPacket(e,n+1,r-1,o,d,N)}_parseAVCVideoPacket(e,n,r,o,d,C){if(r<4){M.w(this.TAG,"Flv: Invalid AVC packet, missing AVCPacketType or/and CompositionTime");return}let N=this._littleEndian,ze=new DataView(e,n,r),be=ze.getUint8(0),Yt=(ze.getUint32(0,!N)&16777215)<<8>>8;if(be===0)this._parseAVCDecoderConfigurationRecord(e,n+4,r-4);else if(be===1)this._parseAVCVideoData(e,n+4,r-4,o,d,C,Yt);else if(be!==2){this._onError(Gt.FORMAT_ERROR,`Flv: Invalid video packet type ${be}`);return}}_parseAVCDecoderConfigurationRecord(e,n,r){if(r<7){M.w(this.TAG,"Flv: Invalid AVCDecoderConfigurationRecord, lack of data!");return}let o=this._videoMetadata,d=this._videoTrack,C=this._littleEndian,N=new DataView(e,n,r);o?typeof o.avcc!="undefined"&&M.w(this.TAG,"Found another AVCDecoderConfigurationRecord!"):(this._hasVideo===!1&&this._hasVideoFlagOverrided===!1&&(this._hasVideo=!0,this._mediaInfo.hasVideo=!0),o=this._videoMetadata={},o.type="video",o.id=d.id,o.timescale=this._timescale,o.duration=this._duration);let ze=N.getUint8(0),be=N.getUint8(1),ot=N.getUint8(2),Yt=N.getUint8(3);if(ze!==1||be===0){this._onError(Gt.FORMAT_ERROR,"Flv: Invalid AVCDecoderConfigurationRecord");return}if(this._naluLengthSize=(N.getUint8(4)&3)+1,this._naluLengthSize!==3&&this._naluLengthSize!==4){this._onError(Gt.FORMAT_ERROR,`Flv: Strange NaluLengthSizeMinusOne: ${this._naluLengthSize-1}`);return}let je=N.getUint8(5)&31;if(je===0){this._onError(Gt.FORMAT_ERROR,"Flv: Invalid AVCDecoderConfigurationRecord: No SPS");return}else je>1&&M.w(this.TAG,`Flv: Strange AVCDecoderConfigurationRecord: SPS Count = ${je}`);let De=6;for(let it=0;it1&&M.w(this.TAG,`Flv: Strange AVCDecoderConfigurationRecord: PPS Count = ${xt}`);De++;for(let it=0;it=r){M.w(this.TAG,`Malformed Nalu near timestamp ${xt}, offset = ${je}, dataSize = ${r}`);break}let Me=be.getUint32(je,!ze);if(De===3&&(Me>>>=8),Me>r-De){M.w(this.TAG,`Malformed Nalus near timestamp ${xt}, NaluSize > DataSize!`);return}let ke=be.getUint8(je+De)&31;ke===5&&(it=!0);let bt=new Uint8Array(e,n+je,De+Me),Mt={type:ke,data:bt};ot.push(Mt),Yt+=bt.byteLength,je+=De+Me}if(ot.length){let Me=this._videoTrack,ke={units:ot,length:Yt,isKeyframe:it,dts:xt,cts:N,pts:xt+N};it&&(ke.fileposition=d),Me.samples.push(ke),Me.length+=Yt}}}var Q=L;class g{static init(){g.types={avc1:[],avcC:[],btrt:[],dinf:[],dref:[],esds:[],ftyp:[],hdlr:[],mdat:[],mdhd:[],mdia:[],mfhd:[],minf:[],moof:[],moov:[],mp4a:[],mvex:[],mvhd:[],sdtp:[],stbl:[],stco:[],stsc:[],stsd:[],stsz:[],stts:[],tfdt:[],tfhd:[],traf:[],trak:[],trun:[],trex:[],tkhd:[],vmhd:[],smhd:[],".mp3":[]};for(let n in g.types)g.types.hasOwnProperty(n)&&(g.types[n]=[n.charCodeAt(0),n.charCodeAt(1),n.charCodeAt(2),n.charCodeAt(3)]);let e=g.constants={};e.FTYP=new Uint8Array([105,115,111,109,0,0,0,1,105,115,111,109,97,118,99,49]),e.STSD_PREFIX=new Uint8Array([0,0,0,0,0,0,0,1]),e.STTS=new Uint8Array([0,0,0,0,0,0,0,0]),e.STSC=e.STCO=e.STTS,e.STSZ=new Uint8Array([0,0,0,0,0,0,0,0,0,0,0,0]),e.HDLR_VIDEO=new Uint8Array([0,0,0,0,0,0,0,0,118,105,100,101,0,0,0,0,0,0,0,0,0,0,0,0,86,105,100,101,111,72,97,110,100,108,101,114,0]),e.HDLR_AUDIO=new Uint8Array([0,0,0,0,0,0,0,0,115,111,117,110,0,0,0,0,0,0,0,0,0,0,0,0,83,111,117,110,100,72,97,110,100,108,101,114,0]),e.DREF=new Uint8Array([0,0,0,0,0,0,0,1,0,0,0,12,117,114,108,32,0,0,0,1]),e.SMHD=new Uint8Array([0,0,0,0,0,0,0,0]),e.VMHD=new Uint8Array([0,0,0,1,0,0,0,0,0,0,0,0])}static box(e){let n=8,r=null,o=Array.prototype.slice.call(arguments,1),d=o.length;for(let N=0;N>>24&255,r[1]=n>>>16&255,r[2]=n>>>8&255,r[3]=n&255,r.set(e,4);let C=8;for(let N=0;N>>24&255,e>>>16&255,e>>>8&255,e&255,n>>>24&255,n>>>16&255,n>>>8&255,n&255,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,64,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,255,255,255,255]))}static trak(e){return g.box(g.types.trak,g.tkhd(e),g.mdia(e))}static tkhd(e){let n=e.id,r=e.duration,o=e.presentWidth,d=e.presentHeight;return g.box(g.types.tkhd,new Uint8Array([0,0,0,7,0,0,0,0,0,0,0,0,n>>>24&255,n>>>16&255,n>>>8&255,n&255,0,0,0,0,r>>>24&255,r>>>16&255,r>>>8&255,r&255,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,64,0,0,0,o>>>8&255,o&255,0,0,d>>>8&255,d&255,0,0]))}static mdia(e){return g.box(g.types.mdia,g.mdhd(e),g.hdlr(e),g.minf(e))}static mdhd(e){let n=e.timescale,r=e.duration;return g.box(g.types.mdhd,new Uint8Array([0,0,0,0,0,0,0,0,0,0,0,0,n>>>24&255,n>>>16&255,n>>>8&255,n&255,r>>>24&255,r>>>16&255,r>>>8&255,r&255,85,196,0,0]))}static hdlr(e){let n=null;return e.type==="audio"?n=g.constants.HDLR_AUDIO:n=g.constants.HDLR_VIDEO,g.box(g.types.hdlr,n)}static minf(e){let n=null;return e.type==="audio"?n=g.box(g.types.smhd,g.constants.SMHD):n=g.box(g.types.vmhd,g.constants.VMHD),g.box(g.types.minf,n,g.dinf(),g.stbl(e))}static dinf(){return g.box(g.types.dinf,g.box(g.types.dref,g.constants.DREF))}static stbl(e){return g.box(g.types.stbl,g.stsd(e),g.box(g.types.stts,g.constants.STTS),g.box(g.types.stsc,g.constants.STSC),g.box(g.types.stsz,g.constants.STSZ),g.box(g.types.stco,g.constants.STCO))}static stsd(e){return e.type==="audio"?e.codec==="mp3"?g.box(g.types.stsd,g.constants.STSD_PREFIX,g.mp3(e)):g.box(g.types.stsd,g.constants.STSD_PREFIX,g.mp4a(e)):g.box(g.types.stsd,g.constants.STSD_PREFIX,g.avc1(e))}static mp3(e){let n=e.channelCount,r=e.audioSampleRate,o=new Uint8Array([0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,n,0,16,0,0,0,0,r>>>8&255,r&255,0,0]);return g.box(g.types[".mp3"],o)}static mp4a(e){let n=e.channelCount,r=e.audioSampleRate,o=new Uint8Array([0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,n,0,16,0,0,0,0,r>>>8&255,r&255,0,0]);return g.box(g.types.mp4a,o,g.esds(e))}static esds(e){let n=e.config||[],r=n.length,o=new Uint8Array([0,0,0,0,3,23+r,0,1,0,4,15+r,64,21,0,0,0,0,0,0,0,0,0,0,0,5].concat([r]).concat(n).concat([6,1,2]));return g.box(g.types.esds,o)}static avc1(e){let n=e.avcc,r=e.codecWidth,o=e.codecHeight,d=new Uint8Array([0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,r>>>8&255,r&255,o>>>8&255,o&255,0,72,0,0,0,72,0,0,0,0,0,0,0,1,10,120,113,113,47,102,108,118,46,106,115,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,24,255,255]);return g.box(g.types.avc1,d,g.box(g.types.avcC,n))}static mvex(e){return g.box(g.types.mvex,g.trex(e))}static trex(e){let n=e.id,r=new Uint8Array([0,0,0,0,n>>>24&255,n>>>16&255,n>>>8&255,n&255,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,1]);return g.box(g.types.trex,r)}static moof(e,n){return g.box(g.types.moof,g.mfhd(e.sequenceNumber),g.traf(e,n))}static mfhd(e){let n=new Uint8Array([0,0,0,0,e>>>24&255,e>>>16&255,e>>>8&255,e&255]);return g.box(g.types.mfhd,n)}static traf(e,n){let r=e.id,o=g.box(g.types.tfhd,new Uint8Array([0,0,0,0,r>>>24&255,r>>>16&255,r>>>8&255,r&255])),d=g.box(g.types.tfdt,new Uint8Array([0,0,0,0,n>>>24&255,n>>>16&255,n>>>8&255,n&255])),C=g.sdtp(e),N=g.trun(e,C.byteLength+16+16+8+16+8+8);return g.box(g.types.traf,o,d,N,C)}static sdtp(e){let n=e.samples||[],r=n.length,o=new Uint8Array(4+r);for(let d=0;d>>24&255,o>>>16&255,o>>>8&255,o&255,n>>>24&255,n>>>16&255,n>>>8&255,n&255],0);for(let N=0;N>>24&255,ze>>>16&255,ze>>>8&255,ze&255,be>>>24&255,be>>>16&255,be>>>8&255,be&255,ot.isLeading<<2|ot.dependsOn,ot.isDependedOn<<6|ot.hasRedundancy<<4|ot.isNonSync,0,0,Yt>>>24&255,Yt>>>16&255,Yt>>>8&255,Yt&255],12+16*N)}return g.box(g.types.trun,C)}static mdat(e){return g.box(g.types.mdat,e)}}g.init();var H=g;class ne{static getSilentFrame(e,n){if(e==="mp4a.40.2"){if(n===1)return new Uint8Array([0,200,0,128,35,128]);if(n===2)return new Uint8Array([33,0,73,144,2,25,0,35,128]);if(n===3)return new Uint8Array([0,200,0,128,32,132,1,38,64,8,100,0,142]);if(n===4)return new Uint8Array([0,200,0,128,32,132,1,38,64,8,100,0,128,44,128,8,2,56]);if(n===5)return new Uint8Array([0,200,0,128,32,132,1,38,64,8,100,0,130,48,4,153,0,33,144,2,56]);if(n===6)return new Uint8Array([0,200,0,128,32,132,1,38,64,8,100,0,130,48,4,153,0,33,144,2,0,178,0,32,8,224])}else{if(n===1)return new Uint8Array([1,64,34,128,163,78,230,128,186,8,0,0,0,28,6,241,193,10,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,94]);if(n===2)return new Uint8Array([1,64,34,128,163,94,230,128,186,8,0,0,0,0,149,0,6,241,161,10,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,94]);if(n===3)return new Uint8Array([1,64,34,128,163,94,230,128,186,8,0,0,0,0,149,0,6,241,161,10,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,94])}return null}}var $e=ne;class Bt{constructor(e,n,r,o,d){this.dts=e,this.pts=n,this.duration=r,this.originalDts=o,this.isSyncPoint=d,this.fileposition=null}}class en{constructor(){this.beginDts=0,this.endDts=0,this.beginPts=0,this.endPts=0,this.originalBeginDts=0,this.originalEndDts=0,this.syncPoints=[],this.firstSample=null,this.lastSample=null}appendSyncPoint(e){e.isSyncPoint=!0,this.syncPoints.push(e)}}class st{constructor(){this._list=[]}clear(){this._list=[]}appendArray(e){let n=this._list;e.length!==0&&(n.length>0&&e[0].originalDts=n[d].dts&&en[o].lastSample.originalDts&&e=n[o].lastSample.originalDts&&(o===n.length-1||o0&&(d=this._searchNearestSegmentBefore(r.originalBeginDts)+1),this._lastAppendLocation=d,this._list.splice(d,0,r)}getLastSegmentBefore(e){let n=this._searchNearestSegmentBefore(e);return n>=0?this._list[n]:null}getLastSampleBefore(e){let n=this.getLastSegmentBefore(e);return n!=null?n.lastSample:null}getLastSyncPointBefore(e){let n=this._searchNearestSegmentBefore(e),r=this._list[n].syncPoints;for(;r.length===0&&n>0;)n--,r=this._list[n].syncPoints;return r.length>0?r[r.length-1]:null}}class 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",ce="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAEYAAAAuCAYAAACViW+zAAALWklEQVRoQ+1aeVTU9Rb/3N9vFnYs5akguWS+UkSRYVgMZVB7gE9NLSxByNMrX77eKU/2TmVHs7J6zxazxfK1qJALpvXIcCkZQGQZxn3r5cJLKTeoRGGGmd/87ju/IREVmBmwpHO858wf8/ve710+3/Xe+yW4SQVlZoOD5QwCxQNyCEBebna9XmwSA2eIaDeAdQEqytLpdHZ3jSFXjEazuRtLvBzMKa54O3n7USI53RATU+aOnW0CYzSZerCE7SD0A/AjQXiDHfJnZK87ajAYrO4ouF48OTk5YtAtt/QEq0Yx5NkAwgBYSRQnGvSRm1zZ1SowzEzGcvM2MA8HyERWnmAw6E+5EtgZ23NyWOwaalpEoEcBnCOohxpiI/7Xlq2tAmMsNaUxkE2EE7AIwwwGXXVndNoTm/JLTTkA7hWAlQmx+rR2AZNfZioEYwQB0w2x+mWeGNBZebeW7A4B2Y4JAKl8vbrHh4f/1JqtLc4Ys9nsU2tz1AIkdfXVdh0yZEhdZ3XWU7vySyo2g/guAJMTY/XrPQKmsGzXbQ62fwvCt4kx+j96qrwz8+eXVrwO8CwimmWIiVrkETBFpeZhEuQdAHYmxuojf0tH84qKgrzU3gMSY6O2/xp688vM88HyXIEwNyFG/8LvAhhjufluluX3AHjLpIodHTPs4LUG53cFjHHXri7cIC0G87RLQNARtaTVx8e3vkG6Am1riSmOBe+jo2MGn77I+7sBxmjakcQOxwcAQkCoIxlzmKAAFAmiLdXHK1NSU1MdrkBo3l5YUhEhE15jsIGATYZYfXKHgTE/bFbXT+EIu1YuB7ArcIUYrVvqfozhrgP/KS7291dpXgPjLwAIoO3EwgOGuMgjxrI9vZgbzAC6A/R6YmzUE+7ILd65M7ihQVoAIIMAAYRqURBnjNRHNp0+Hs2YDY9siKw7U7dQsjtGgiFcaQQROUS1YPTr7vfk2HfHKkFZh8hYWpEA4o+Y0Ve5pgsCzR2p171GRHLTyFZUDGeJ8wnQCEQZCTFRWa0p3bx5s68qoMuTBFKu/r4ANRDRW7CICwyGiJ+b93MbmNy/5Q6znLGWDp46WHNbUn+ovFRX6bdb7Dj85WHsW7Pf6t/DTz/27bH72oNMSUmJt5VUr4DoUTALRDCLUGWOaGWTLSg1PSQDSwG2CqJmRII+oqK53nnMQkLZzgyG40XnUgQYwKcOEU+N0euPtWSj28CsuSdnS9j9YWMGTrrDpa/71+zHgbWHNty3LnWcS+YrGArKy2NlpmVgDACRDTIvoIa6lwwGg9SWrPxS0zsAZgL43mYXopJG6E4q/Fu3lycKgvAqgyOc/YnKwXjC1THvNjCr7l5tn5Q9UaXx1bj01fqzFbkP5jZMWT/F7VxMXl6eVntTt/nEPBtEIgP7ZKbMMXFRu1wqBPC+2ay+zS5/BWAkEUpFiH91sONFBn4ZHPpOEPB0gl63GkTKjGmT3AYmKzmb0/MuxVO2OlvjhGwcBWh81U2KHHYZOZPX8NQvpl61D7VkzdZS8zCCvPyXkF8CYeEf/HyeCwsLs7lyoHm7cunz1niZmNGn2fdaIrwMS90iT1IgCjDscMzlBn7hxyXH56eubfnEoyuBWZ/5GbwCvCCoBLDMsJ6zIlgXjKhHopz/3QHGaGQVvMxzGDwHgBqE/4KFzMRYnXLStYvyy3cOAUvbwdAS6AONrJk3fPiQM+4KW5y8WNuVus6AlmYJEPpoA7SwnbOx3WbfC6YPtH7qpalrU5sGrEVgkt9IgvfN3k6dDrsDhc8XoveI3uiT0NclMMUm0yCbjOVgRDIgg7C4RpaeSY2Ls7jrRGt8BRUVY2TmHxL1+gOeyMpOzu7FoNyQ6OCIsNRB6HZ7NxCRc6DPflONA6v343vzSbNKEibc/9X9PzgXS0szpjkwCtPBdQdhO2/D4LTwVoFhZsFYZp4N5udB0ILomCiI00fqhxV54sS15l1x1wpfEoWyiOlDwwbdO6hV8ftW7cee7D17tD9pYlNLUy0ugbHX22F8rgADxg5AaFxoi8A0RuPSMoDjnEcm8VKy1M82GAwXrrWjnsrLSsl6ru/IvvOG/2O4s2ttVS2qyr+H5ScLfLr6oFd0CPyD/Z1t217ehuPbjj+bvjF9QYvACKIA5cfMyv7rXEbh6eGQpcv3GCX9WWja8ahDll8hwAdAFZPw4KgY3RZPHMhKWZkqyNxonQfkIEdlxsaM/La6ZCVnV43/97gQv+5+MC/dgbozdeib0Ac+QT6oO12HSmMlAkMDEfFgBGqrzmPDIxu+m7YxvY/LGdNcafNTqbi42N+m0nwORqJzTQpYLonCY2N0unMe+IaPEz72Unmpt4DgMTBKaSQ9L216a/o+HP+hf5fAm2onrZiI8z+cx9lDZ9FvVD+cO1GL2hPnEHhLIAJ6BeDIpiPoMbQH/Hr4YV3aOlhqLMHtBsZYVnYns7ANhFNgmpEYG5XrCSC/Be/6ieu7qntoqv/87tgmdRVLzLhw+gKC7ghyAhUQ7I/Ihy+lnHIf/kIB7XZaNWG1fdInly54ynF95eZ7UeqVF7z8EtNItZ/X3rZyp78FAK3pyEvO0573vWC5Z/U9JIiNWdzqQ9Xw7uaN03tPO2dJ/dl65ymlkCzJyJmyVnZYpJtozeScrwanhY2+Y2JjSHDos0Pon9Qfau9LF7uLivfnHMCBtQc33Pep5yHB9QIoKzm7zDA/ITokSgmlGmnXst3w7eaDuup6RDwwtOn7idIqFL5QVDxtY1o8OSPr6vqS8LRwTf+kW6HSXh1ESlYJh/MOY9+qfdaAoIDo5CXJez119P1x7/t4S74fNUa/nhGBJMjyk9M2TzuSnZT9FBNFAywpP2KyM5EkEq2amjdVCR0uo09SPpngHxrwedIbf2oa7IbzDTi65RgGTr4UH9rr7Nj4+CZcqDo/Nm1TWp5zfuXOzI2ynLW+KjVIdxLRVdd9ZpZFtVgYEOz/RMpbKW7FOFcamHNvjthwwT4L3A5giCWHzfFe5tbMGsVRmeVIYlKxABUz1ARSCQLWp32ZZmwJ8uyU7HeCBgbNjH86/tLF1eaAqBGd7PU19dj20jbUHKp5M21j2uPKt8vKJwymZQnLtMEzB/ZU9cQxYpz8bu7BftMLpjf8EtJ7NtSdhFvxa2XKyjmit2pOv9H9vJS9xStQC+vPDTi1+ySOfn3MardKz2fkpb9y0c8W60pK3bdbaB8lDrmZ1UL/UTrd0U7iY4fMWHXXqlDvUYF7HTVSl4bK+iK5TqqSGXuUymT6xvSq5sJbLdHml5qU6mMmgd42xEb9vUMWdZLOW0srkgmcR4RTCdFRIc0zhlea2HrtusR8O5OsZOoIROMTY6LyOol/7TKjqMjc06GRy5kRSoTHDTH6N9sS1OYzkPzSimcAXuDMobI8+2yVfklqKnmUsW+XF9e4U0H5jnhZlrIA6g2g8LBaGDPDxSMi1w+HykwLmaEkmZWdulJm5BJBKYx3OI1wjf2/TJwDUBGjJxElghCnxHUAtssCTxgdHV3jSrdLYBQBX5eU3y0Q/RPAAFcCO2l7LQMLu/v7/Mvd7KFbwCjOzps3T4hPSYkWZYxgUDCoA2/wmG8FEE6EIwy6vOLAEAEer+TIQNT++IvZQaDTEGiPv4gtOp2u3pNBcxsYT4S64jWWmR5jxiIiWmSIiZrVnN9YWenFp85aCLAYYvVKKuO60A1gWoH9BjA3gPFsRd6YMTdmTCeaMcoRn5iS0lt2qBrj+4skcCaz/CwDywQWlWcbTcQqUQuHbb/zsTKLg5u3yRrmeuDkOA+PXs8gaeT+VZfS1lLTqwS49bbFA+O/SYzVu36B4IHAllh/VWDySyoyIOAZcl7aOk6sFDYFKjBE6x/quLS2JfwfBiFSdHXQX6oAAAAASUVORK5CYII=",Se="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAEgAAAAvCAYAAABAHIylAAAGUUlEQVRoQ+2bf2xTVRTHv+f2rStjQBAJIgmCYoKKEkLXdQUCHUy2gaAhNLAfKP8IkYQIMRqIusyfBAEjEv/Af4C2C2IgRmAFgRZIWLsfTBKj/0zxJyIgojC20b13j3mF6RzbXl/3gxne7R9t7j33nnM/97xzT3tvCbdKpPr0fCn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n8xCZGJkj85zruIcajZ5vOyXswvLC9WeMvgEXVnt2cdAJoj8YO4E4CeCn0F+Zu5UcUPG5JcqLeAHw0/oSgtDF34lZ4lOAvzMaCfSX7HbbOd76m3J17c7YkYMKc7ZkA1zpBm6X8cHe/+KC++ch+9aKwbHD8bIGSPx0MIJMFlMuHj8Eo79/NhF7pQTig4X+YJa7B2PZ4SUIokAsw6YiWAGs0mlJcGsnhrDpOLQYWaSZiGESQJmltIsiEySlR6ZBbGhR0xC6h2/ypw+/eytgG3M2zgonhLP5v4me3jCuAToHToqnndhUFQEJj05CdHDo+Fr9OHMrjP49EITsl+ea4A//koVzlWc/2nRwcJ1QYENBHmU5pbmD5089MDc9XON5uuL69F02YuZP5wBohvX6jWbPCCNkLY8FZ+c/QQHVpY3LHY6xoUksOL80henOCavmfTERAPYm4v3IHv9XER/Nfqm99zW1IZ9T+/DwjcWGqSya9Fu+Npb4kITWF7xL9Oftf1gTPYDYGaUzd+BJ95a1KPz7Cnai9xf5xgEs3/5Afz7cuvokARWkl/y0tSlU59PXpBsgCl7dAcW/HE+IqK6Ttu7B0Uquxe9iUdLFxgksmfJXvj+1fKVkARWnF/8naSZo7aqMaXC8ZePIyYpFhMfv3kt3uBsMBgxc10GWj9uxd6it643lH84NCiwY9V1Uzs1GkO6TmrkEoFYsgCBpBJIacjUVwupNFRSA8EQyy6ZMeKVLkhJWJJQMZUF0IkMW+rx7lbY/s3tiWQWl+b9fp5lcJwFLY0+HHruECY/OQljcsdArTyUi54/egEntpxA1i8yEZsUi1NvnEZ9yft/WFxe+HRQYC63ZyuYZzJIHWMxCKx+XWk24qrLbOQZR11KwoG0OtIjQx/qz1DluvqlzlqYIN6226at/7yLleSXrE+aNWr1jNXToV6b97IX7o01aL7iNUhEgVWgravSEf9AHLxXmuFc5WzvaGlPLjpc9I+gwAaC7lWbO207B7fHdlQmz0+2Tl36sGElFXwf+eC75kNkfCSi7o8yZM1Xm+F6oRItV5uXOpyOrX1aeQwUMANczs74Ds2/IzE5MetrS6Zg2MRhN8xjfp8fDQcbcLrsTKff17Hc4XRsCfQ3ZC0W6OAarBFj8sY6TYNM2eZIE2JGxcJsMaP1eiu8l7wGU/o+8h1e7HTkdDdCyANTnS3JLyke/+3xjvHzxsN7xYvOtk5YYgcjbnSssX58//V6p8PpyA9bYCnPpNw0Mk6Vnb49YBXu2sVC8gRopDOzJCadiRXT68QsmUiHJJ0UiRPprKs8qRNMOrOUINYNOXeVCTwNmWQJQbqE7s6yWj/uaTwHLHZHgbmqa1cDrI7fNCISYNYQeAIaA+ojocYMTRAJBmsACagn4bM4Q6UFWNUDwUya0lFxCO3H9rSU1/oCTK0NT75Wz5MLJ5FaQt22xQaSFQNtByw2Nm+sQeu+Rl+TJc4SY39xDq7UXb09VwwVYInJQx1NF5tgGm1BbMbQb/3z1XNZ2iBtVeKDCeqIIHzJgyUKo6bHX4vJTBxG6Lo1UJpXukKCf0vA4bBkxdL80i2QqLh/zdgln78OoTalLHiJo9xxw7WosJjHNmdtjll2ZFlTTyfBm7N2xiw7UtB0wzxW6a6V6tJKWHwfq/IcBCEHQsvNsKYc6m38K4s1AhimmcXk2dOmnQoFsrhVHyorK01sifo7wEkMPSXTZlNXonoM5HLX/g7My8A4w4QfCQ09frIdKNDEWrSU+goABSCcs1tTxxq7u96AqQthGot3mblrHx7SgVqEEPlzrCnvBuumsckpd7uHWKT4HgiZBBoSrNC9zmfIDhBOaojYMDv9YeNiTbDwH8u5Z2+K2yjSAAAAAElFTkSuQmCC",R="data:image/png;base64,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",Et="data:image/png;base64,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",Pt="data:image/png;base64,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",Gt="data:image/png;base64,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",o="data:image/png;base64,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",d="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAFAAAAB4CAYAAABl7nX2AAAAAXNSR0IArs4c6QAAIABJREFUeF7VXQd4VEXXfufuZrPZ3WTTQ09CySaQUDSA0kE6UmJBPhAUKwiCivqLFSsq0rHRQRQRkSYWVEATUqhBulKlBQJsyrZsufM/c5f0zd57dzf+/3eeJ08Cd2bOmfeemTlz5sy5BP8yJSQkqNVq9W2U0nQAyZTSlhzHNaaURgMIA6ACcJoQstZut8+JiIiwqFSqIYTSOykQRwBKASOh9BShdE+j+PiD69evd/3L3ahgR/4NxgaDoRGl9AFCyBAA3QAES+R7JiwszKpUKNp4KW8kwLeUkKU5OTl7JLYbsGL1CmBKSko/nuefo5T2I4QofJGaEIKw0FAoFBKqU7qDB17My8vb7wsvX+rUC4AGg6ErgLkAOvoiVM06DDwGIgNTArlAyKLCwsL/OXXqVJmE8n4VkSSRVA4GgyGUUrqAEPIQgIC2rQkJgVqtlioKK7fX6XLdu3fv3gtyKsktG7BOGgyGtpTSDYSQlnKFkFKeaV+4Xi9VC8ub/MfF87327NlzVgoPX8oEBMDk5ORePM9vIoTofRFCah2dTgdVUJDU4uXlzoOQrjk5OZfkVpRS3m8Ak5KSuhFCfgEga3xJEa5mGXVwMDQajfyqlObYnc6e+/fvd8iv7L2GXwCmpKS04nk+B0BUoAXz1J5SqRQWE1+IArNzc3Of96Wutzr+AKhMSkraQwjpEGih6mqPrcb6MGZr+0ROntLb8/Ly/vSpdh2VfAYwKSnpdULIm4EURqwtfzRQaJuQzJycnB5ifOQ89wnApKSkxoSQU//GvFe1M8HBwdD6MgdWbYSQXjk5Ob/LASngQzg5OXkRpXRSoISQ2g6b/5gW+kMU2JKbmzvcnzaqvQ+5DSUlJUUTQi7K2M/KZeGx/MhB/VBstmDv4WN+tUcp5RVOZ+Lu/fv/8auhW5VlD2GDwTARwCeBYC6ljfCwUDw9ZiRG9O0lFD9z4RK2Z+dh554DuFlcIqWJWmUIMDU7N3eBT5VrVPIFwCwAbK8bUGretDFaNmuCYJUKOq0GkWFhaN2yOW5rbfBoPPM8j+NnziM7/09kHzyMi1evSZaHADuzc3P7SK7gpaAsANPS0iLsdvt1AJxc5gygMXcPxPLvtuDS1UJwhICnFBFhoXju4TEY3NO/d3Lu8hVk7svHzr0HcOHKVTHxnMElJRG7jh0ziRUUey4LwKSkpMGEkG1ijZaDw8pxHMHYYYMxYdS9giZlPP0CFITD0D49cPbiJTzz0H8Q7qNxXJccJ86ex5admdiRuw8unvdYjKe0e15eHhtNfpEsAA0GwzsAXvHGMVSrweQxIzFz8Uo0a9gAbz79JNoaKv0LX2/bjox+vcBxHIL8XFHFen7+SgHeX7Iap/5ha14NovSZnLy8+WJtiD2XC+CnACZUbTQtqSWSEpphw/YdaNIgDvNfngaXy4WNv+4UgGT71/9LMlmsmPzOR7h0rbC6GJQuz8nLe9Rf2WQBmJSUNJsQ8lw506dG34fxGUOx/qff8GvOHsx6cUrAh6O/HWT1f8vdh/eXrq4J4Oc5eXnVlMEXXnIBnEEIeYMxuqdfL7wywf0CT1+4KAzX+h6SvnSQ1TFbrbhn6nSwlbuCKH05Jy9vpq9tlteTC+B0Qsh7rPKMyU9gaO/u/vL/1+qzYXzyXBXbmdInc/LyFvsrgFwAJxNCFjKmPy1ZgJjICH/5/2v1l367Bet++rWSHyFDc3JyvvdXAFkAGgyG8QCWM3Mk5+vl/vL+V+tn7s/HW59WkTlATgW5AI4EsK5RbDS2fsoO3f57yFhSgpHPvVohMOG4TtnZ2Xv97YEsAJOTk++mlG5lpsvKmcJa8l9Fo194HYXGIkFmntI2eXl5/nkm5B49GgyG3gB29O6cjo9enOoVPIfDAU6hgIKTveuT/VLYltDpdIoeOL358VJkHXQ7pCmQmJube042sxoVZGlgq1atOnMcl3vfgLsw/YmH6+T98VfrseK7raCUQhsSgjCdFmyHEqbVIlSnRZhWA+Zl6dulM1q3SBTtQ7HJhG27snD1hhHFpaUoKjWhuMpPidksmCgDu3fBu88wZ5Fn+mrbdqzY6F43CMfFZWdnS/dA1NGmLABTUlJSeZ4/PGHUPXj8/ow6Be3yn0dRZreLAhOiDsaPi+cjVKv1WnbCjJmS/YA/L12I6Ihwj+3tP3oCL811e+KC1erQXbt2/bvOhFatWjXnOO70KxMewT392Gj2TC/NXoRfsvNEAWSH5cwcqqvD5Q3c8/QLOH+5QLS91FYtsPy91+ucNkrNFtwz9SVhBPfPzVW+CXj2NIhyqiwgSwMTExPjVCpVwdyXnkWPjrfVyYYNp7/PX8B1YxFKzWaUmC0oNbHfZrBOlJjMsNvtGNDtTgzpxYK1vBPTnCXfbBSmBH2oDvrQUOhDtdDr2N86YfsYGR4GQ2K86G7ooelv4XLhdVtObm6IGF8pz2UByGJfAJR88cGbgrOzLnK5eJitFlhtZXA4XYJLS6cJEYaqxAAhr7I7HE7hxZitNigUHFRKJTSaEIQEB4u2/+7nK7Fr74GbObm5ATnLlgwg3blTfbWsYEHPqTMe3/b5PDSIjhK8Lqs3bkPeoSMovGnEDWORYCawCd4TMW9zQuOGSGoejw4pBnRs2xptDUkCCHVRSakJOQcP48CxEzh04i/BpX/l2nVBG2uSUqFAVIQe0RERwrTQKC4GDwzuh/S01hVF1//8G1Zs3Fb4e2ZmHCGkdiNS1K5KGUkA0uxvQm6YyK8UtMuAF97BjlWfQ6lU4M2Fi7Fk3caK5pgrngkeFa4XNE6jDkFQkEJwaprMFhRcv4FzF69UW2DYEBzYowtefepRROgrD81378/HR8vW4MCR49WcoqzthMaNhLKaELWw+todDpgtVpSYTLhuLBamDofTKcjFQP1h6QK0buUeMcfPnMPCVV9h9pOjf1AQjI7sN7JYJmbViksC8Nr29SsJKAtZQ4mTIq6Z2/ToOnI8bhaX4sdlC9AwJhrBwSw61zuxDp/+5xIOHjuB7AOH8MfeA7h2w4jO7VIxvG9P4diSadcb8z5DmcOBtKQW6NHpdnRs2wYdUpIQGS4ev8Tqs3n2259+xRvzP8dLTz6MyWMfqBDMbiqGq8QIQrCzwIiBqSNHipsMdXRLFMDC7WvTAQULnRXKKrShUOnd00e3UY/CWFyCoz+uF8Ot7vmS59Gyz/AKjalacFzGELw3bXKddRlQTperzoWD2Y5Pvvoupk94BJMevL+iHZfVDLvR7WAlBNOj+41839cOiAJ4/Zd1CyglT5czUOr0CApze2GGPDYVh0/+jXO/fy+46KvSzaJivDp7Ac5duizsEGKjItE22YA+d3ZC61YtKooyX52h3z1ISmyGiaPvF3YUTCNnLV2NYXf1wCdvTq8oaysrw7wVa5C5d7/Al708BqKheSK2LF6Axg3iqsmwduvPeOGDeXj/hafx4PDBlQDarLDfdB88EUKKjI4rDVoNnuJTNKsEANfvvRVRLzBUhkYgKNQ9jEY/+4owBJkGsrmsKr02ZxHmLq/hBWaHTITghxWfolu62ww68vdpDBw/GQ8M6Y/Z058V/o/NXy3vGi6s9D8uE7xnAr33yRLhxxO99/xUTHl4TLVHn639Fu98vAyfvvUyhvap9F3y9jKUXb9SUZbjMShq4MiffNFCUQALt39zHkCz8saD9JFQat2T/cTXZ2Lrjj+Q/c0KNGvUoBp/pilMAz3Ru89PwdSHHxQebd2RiYmvv4f/eXQMJtw7RGibKBTo+sAjYFp8/OcNFU28teAzfLi4thuNre7bVy/G7amVqy2r9MHiVVi4+mt8NffdanYr73Sg7FplvCWldGrsgAd8OmiXAuABABUhbEHh0VBq3Nr20qyFWLP5B/y4fCGYh6YqsaG4euNWnD5/ATa7HZevXsWh4yeFYfbl3A+EIc1oweqv8eHiVVj7zotIT0oEUSihjmuMB6e9hl15+5G/ZS2iI91bM7aSz/xsKSxWG9qnGBAXHSUcxBtaJKJRbEytd/XK7I+xauP32LZ0Adolt6p4Tl0u2K5WCZ2meDFmwMhZ9aSB65YA5LHyxlURMVCEuPeuMz9bgY/XfIOv581Et/T2vvDHc+/NwY+7srB3+UfCFkwZGo6g0HC8Nu9TrPh2CzZ+8pGwAvtCk2Z8gM2/7kLW18uQ0KRRJYA8D1tBpXufchgV23fkOl94SNHAngB2eQJw8dff4a1FSzBx9H2YMm6U4GmRSxkTpyFSE4xF054QqqrjmghauHz9Zrw+/zPMeflZjBzcX26z+OvcP3jq9Zk4ceYcjv30reARKidaHUBnMKdsENb3nhuymUj1B17f/s1mCgxjDFTh0VDcGsJnL17GgPGThCEVrAoSNKVT2zYwJCYgvnEDwWbTqNWCMctsOmbssh3LxYKrOHnmPPb8eVT4mZgxEM88MPTW8G0i9GPf4WMYMXEaIvSh6J5+G9olJ6FVQlNhB8TaVQerEKRUwFZmh8lqFXYn5y5eFnYrOQeP4NR5t4b17dIJKz+sHgdKeRdsBe4hTEFWxfa/v27fnAiqohrI6hdlfhnhsAbtBpCiDItAkK7SmL1wpQDrtv2C73dm4tR5+Vcy2rRqgbcnjEVa0zgWBwJ1XNOK/ezs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ArrayBuffer(this._bufferSize),this._stashByteStart=0,this._enableStash=!0,n.enableStashBuffer===!1&&(this._enableStash=!1),this._loader=null,this._loaderClass=null,this._seekHandler=null,this._dataSource=e,this._isWebSocketURL=/wss?:\/\/(.+?)/.test(e.url),this._refTotalLength=e.filesize?e.filesize:null,this._totalLength=this._refTotalLength,this._fullRequestFlag=!1,this._currentRange=null,this._redirectedURL=null,this._speedNormalized=0,this._speedSampler=new 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this._extraData}set extraData(e){this._extraData=e}get onDataArrival(){return this._onDataArrival}set onDataArrival(e){this._onDataArrival=e}get onSeeked(){return this._onSeeked}set onSeeked(e){this._onSeeked=e}get onError(){return this._onError}set onError(e){this._onError=e}get onComplete(){return this._onComplete}set onComplete(e){this._onComplete=e}get onRedirect(){return this._onRedirect}set onRedirect(e){this._onRedirect=e}get onRecoveredEarlyEof(){return this._onRecoveredEarlyEof}set onRecoveredEarlyEof(e){this._onRecoveredEarlyEof=e}get currentURL(){return this._dataSource.url}get hasRedirect(){return this._redirectedURL!=null||this._dataSource.redirectedURL!=null}get currentRedirectedURL(){return this._redirectedURL||this._dataSource.redirectedURL}get currentSpeed(){return this._loaderClass===Ht?this._loader.currentSpeed:this._speedSampler.lastSecondKBps}get loaderType(){return this._loader.type}_selectSeekHandler(){let e=this._config;if(e.seekType==="range")this._seekHandler=new ut(this._config.rangeLoadZeroStart);else if(e.seekType==="param"){let n=e.seekParamStart||"bstart",r=e.seekParamEnd||"bend";this._seekHandler=new Se(n,r)}else if(e.seekType==="custom"){if(typeof e.customSeekHandler!="function")throw new Fe("Custom seekType specified in config but invalid customSeekHandler!");this._seekHandler=new e.customSeekHandler}else throw new Fe(`Invalid seekType in config: ${e.seekType}`)}_selectLoader(){if(this._config.customLoader!=null)this._loaderClass=this._config.customLoader;else if(this._isWebSocketURL)this._loaderClass=ln;else if(ae.isSupported())this._loaderClass=ae;else if(ee.isSupported())this._loaderClass=ee;else if(Ht.isSupported())this._loaderClass=Ht;else throw new G("Your browser doesn't support xhr with arraybuffer responseType!")}_createLoader(){this._loader=new this._loaderClass(this._seekHandler,this._config),this._loader.needStashBuffer===!1&&(this._enableStash=!1),this._loader.onContentLengthKnown=this._onContentLengthKnown.bind(this),this._loader.onURLRedirect=this._onURLRedirect.bind(this),this._loader.onDataArrival=this._onLoaderChunkArrival.bind(this),this._loader.onComplete=this._onLoaderComplete.bind(this),this._loader.onError=this._onLoaderError.bind(this)}open(e){this._currentRange={from:0,to:-1},e&&(this._currentRange.from=e),this._speedSampler.reset(),e||(this._fullRequestFlag=!0),this._loader.open(this._dataSource,Object.assign({},this._currentRange))}abort(){this._loader.abort(),this._paused&&(this._paused=!1,this._resumeFrom=0)}pause(){this.isWorking()&&(this._loader.abort(),this._stashUsed!==0?(this._resumeFrom=this._stashByteStart,this._currentRange.to=this._stashByteStart-1):this._resumeFrom=this._currentRange.to+1,this._stashUsed=0,this._stashByteStart=0,this._paused=!0)}resume(){if(this._paused){this._paused=!1;let e=this._resumeFrom;this._resumeFrom=0,this._internalSeek(e,!0)}}seek(e){this._paused=!1,this._stashUsed=0,this._stashByteStart=0,this._internalSeek(e,!0)}_internalSeek(e,n){this._loader.isWorking()&&this._loader.abort(),this._flushStashBuffer(n),this._loader.destroy(),this._loader=null;let r={from:e,to:-1};this._currentRange={from:r.from,to:-1},this._speedSampler.reset(),this._stashSize=this._stashInitialSize,this._createLoader(),this._loader.open(this._dataSource,r),this._onSeeked&&this._onSeeked()}updateUrl(e){if(!e||typeof e!="string"||e.length===0)throw new Fe("Url must be a non-empty string!");this._dataSource.url=e}_expandBuffer(e){let n=this._stashSize;for(;n+1024*1024*10){let o=new Uint8Array(this._stashBuffer,0,this._stashUsed);new Uint8Array(r,0,n).set(o,0)}this._stashBuffer=r,this._bufferSize=n}_normalizeSpeed(e){let n=this._speedNormalizeList,r=n.length-1,o=0,d=0,C=r;if(e=n[o]&&e=512&&e<=1024?n=Math.floor(e*1.5):n=e*2,n>8192&&(n=8192);let r=n*1024+1024*1024*1;this._bufferSize0){let C=this._stashBuffer.slice(0,this._stashUsed),N=this._dispatchChunks(C,this._stashByteStart);if(N0){let ze=new Uint8Array(C,N);d.set(ze,0),this._stashUsed=ze.byteLength,this._stashByteStart+=N}}else this._stashUsed=0,this._stashByteStart+=N;this._stashUsed+e.byteLength>this._bufferSize&&(this._expandBuffer(this._stashUsed+e.byteLength),d=new Uint8Array(this._stashBuffer,0,this._bufferSize)),d.set(new Uint8Array(e),this._stashUsed),this._stashUsed+=e.byteLength}else{let C=this._dispatchChunks(e,n);if(Cthis._bufferSize&&(this._expandBuffer(N),d=new Uint8Array(this._stashBuffer,0,this._bufferSize)),d.set(new Uint8Array(e,C),0),this._stashUsed+=N,this._stashByteStart=n+C}}}else if(this._stashUsed===0){let d=this._dispatchChunks(e,n);if(dthis._bufferSize&&this._expandBuffer(C),new Uint8Array(this._stashBuffer,0,this._bufferSize).set(new Uint8Array(e,d),0),this._stashUsed+=C,this._stashByteStart=n+d}}else{this._stashUsed+e.byteLength>this._bufferSize&&this._expandBuffer(this._stashUsed+e.byteLength);let d=new Uint8Array(this._stashBuffer,0,this._bufferSize);d.set(new Uint8Array(e),this._stashUsed),this._stashUsed+=e.byteLength;let C=this._dispatchChunks(this._stashBuffer.slice(0,this._stashUsed),this._stashByteStart);if(C0){let N=new Uint8Array(this._stashBuffer,C);d.set(N,0)}this._stashUsed-=C,this._stashByteStart+=C}}_flushStashBuffer(e){if(this._stashUsed>0){let n=this._stashBuffer.slice(0,this._stashUsed),r=this._dispatchChunks(n,this._stashByteStart),o=n.byteLength-r;if(r0){let d=new Uint8Array(this._stashBuffer,0,this._bufferSize),C=new Uint8Array(n,r);d.set(C,0),this._stashUsed=C.byteLength,this._stashByteStart+=r}return 0}return this._stashUsed=0,this._stashByteStart=0,o}return 0}_onLoaderComplete(e,n){this._flushStashBuffer(!0),this._onComplete&&this._onComplete(this._extraData)}_onLoaderError(e,n){switch(M.e(this.TAG,`Loader error, code = ${n.code}, msg = ${n.msg}`),this._flushStashBuffer(!1),this._isEarlyEofReconnecting&&(this._isEarlyEofReconnecting=!1,e=ye.UNRECOVERABLE_EARLY_EOF),e){case ye.EARLY_EOF:{if(!this._config.isLive&&this._totalLength){let r=this._currentRange.to+1;r0){let n=St.getConfig();e.emit("change",n)}}static registerListener(e){St.emitter.addListener("change",e)}static removeListener(e){St.emitter.removeListener("change",e)}static addLogListener(e){M.emitter.addListener("log",e),M.emitter.listenerCount("log")>0&&(M.ENABLE_CALLBACK=!0,St._notifyChange())}static removeLogListener(e){M.emitter.removeListener("log",e),M.emitter.listenerCount("log")===0&&(M.ENABLE_CALLBACK=!1,St._notifyChange())}}St.emitter=new(te());var tt=St;class yn{constructor(){this.mimeType=null,this.duration=null,this.hasAudio=null,this.hasVideo=null,this.audioCodec=null,this.videoCodec=null,this.audioDataRate=null,this.videoDataRate=null,this.audioSampleRate=null,this.audioChannelCount=null,this.width=null,this.height=null,this.fps=null,this.profile=null,this.level=null,this.refFrames=null,this.chromaFormat=null,this.sarNum=null,this.sarDen=null,this.metadata=null,this.segments=null,this.segmentCount=null,this.hasKeyframesIndex=null,this.keyframesIndex=null}isComplete(){let e=this.hasAudio===!1||this.hasAudio===!0&&this.audioCodec!=null&&this.audioSampleRate!=null&&this.audioChannelCount!=null,n=this.hasVideo===!1||this.hasVideo===!0&&this.videoCodec!=null&&this.width!=null&&this.height!=null&&this.fps!=null&&this.profile!=null&&this.level!=null&&this.refFrames!=null&&this.chromaFormat!=null&&this.sarNum!=null&&this.sarDen!=null;return this.mimeType!=null&&this.duration!=null&&this.metadata!=null&&this.hasKeyframesIndex!=null&&e&&n}isSeekable(){return this.hasKeyframesIndex===!0}getNearestKeyframe(e){if(this.keyframesIndex==null)return null;let n=this.keyframesIndex,r=this._search(n.times,e);return{index:r,milliseconds:n.times[r],fileposition:n.filepositions[r]}}_search(e,n){let r=0,o=e.length-1,d=0,C=0,N=o;for(n=e[d]&&n=128){e.push(String.fromCharCode(d&65535)),r+=2;continue}}}else if(n[r]<240){if(kt(n,r,2)){let d=(n[r]&15)<<12|(n[r+1]&63)<<6|n[r+2]&63;if(d>=2048&&(d&63488)!==55296){e.push(String.fromCharCode(d&65535)),r+=3;continue}}}else if(n[r]<248&&kt(n,r,3)){let d=(n[r]&7)<<18|(n[r+1]&63)<<12|(n[r+2]&63)<<6|n[r+3]&63;if(d>65536&&d<1114112){d-=65536,e.push(String.fromCharCode(d>>>10|55296)),e.push(String.fromCharCode(d&1023|56320)),r+=4;continue}}}e.push("\uFFFD"),++r}return e.join("")}var Wn=Mn;let Le=function(){let W=new ArrayBuffer(2);return new DataView(W).setInt16(0,256,!0),new Int16Array(W)[0]===256}();class Ct{static parseScriptData(e,n,r){let o={};try{let d=Ct.parseValue(e,n,r),C=Ct.parseValue(e,n+d.size,r-d.size);o[d.data]=C.data}catch(d){M.e("AMF",d.toString())}return o}static parseObject(e,n,r){if(r<3)throw new Je("Data not enough when parse ScriptDataObject");let o=Ct.parseString(e,n,r),d=Ct.parseValue(e,n+o.size,r-o.size),C=d.objectEnd;return{data:{name:o.data,value:d.data},size:o.size+d.size,objectEnd:C}}static parseVariable(e,n,r){return Ct.parseObject(e,n,r)}static parseString(e,n,r){if(r<2)throw new Je("Data not enough when parse String");let d=new DataView(e,n,r).getUint16(0,!Le),C;return d>0?C=Wn(new Uint8Array(e,n+2,d)):C="",{data:C,size:2+d}}static parseLongString(e,n,r){if(r<4)throw new Je("Data not enough when parse LongString");let d=new DataView(e,n,r).getUint32(0,!Le),C;return d>0?C=Wn(new Uint8Array(e,n+4,d)):C="",{data:C,size:4+d}}static parseDate(e,n,r){if(r<10)throw new Je("Data size invalid when parse Date");let o=new DataView(e,n,r),d=o.getFloat64(0,!Le),C=o.getInt16(8,!Le);return d+=C*60*1e3,{data:new Date(d),size:10}}static parseValue(e,n,r){if(r<1)throw new Je("Data not enough when parse Value");let o=new DataView(e,n,r),d=1,C=o.getUint8(0),N,ze=!1;try{switch(C){case 0:N=o.getFloat64(1,!Le),d+=8;break;case 1:{N=!!o.getUint8(1),d+=1;break}case 2:{let be=Ct.parseString(e,n+1,r-1);N=be.data,d+=be.size;break}case 3:{N={};let be=0;for((o.getUint32(r-4,!Le)&16777215)===9&&(be=3);d32)throw new Fe("ExpGolomb: readBits() bits exceeded max 32bits!");if(e<=this._current_word_bits_left){let C=this._current_word>>>32-e;return this._current_word<<=e,this._current_word_bits_left-=e,C}let n=this._current_word_bits_left?this._current_word:0;n=n>>>32-this._current_word_bits_left;let r=e-this._current_word_bits_left;this._fillCurrentWord();let o=Math.min(r,this._current_word_bits_left),d=this._current_word>>>32-o;return this._current_word<<=o,this._current_word_bits_left-=o,n=n<>>e)return this._current_word<<=e,this._current_word_bits_left-=e,e;return this._fillCurrentWord(),e+this._skipLeadingZero()}readUEG(){let e=this._skipLeadingZero();return this.readBits(e+1)-1}readSEG(){let e=this.readUEG();return e&1?e+1>>>1:-1*(e>>>1)}}var dn=En;class rn{static _ebsp2rbsp(e){let n=e,r=n.byteLength,o=new Uint8Array(r),d=0;for(let C=0;C=2&&n[C]===3&&n[C-1]===0&&n[C-2]===0||(o[d]=n[C],d++);return new Uint8Array(o.buffer,0,d)}static parseSPS(e){let n=rn._ebsp2rbsp(e),r=new dn(n);r.readByte();let o=r.readByte();r.readByte();let d=r.readByte();r.readUEG();let C=rn.getProfileString(o),N=rn.getLevelString(d),ze=1,be=420,ot=[0,420,422,444],Yt=8;if((o===100||o===110||o===122||o===244||o===44||o===83||o===86||o===118||o===128||o===138||o===144)&&(ze=r.readUEG(),ze===3&&r.readBits(1),ze<=3&&(be=ot[ze]),Yt=r.readUEG()+8,r.readUEG(),r.readBits(1),r.readBool())){let Er=ze!==3?8:12;for(let vr=0;vr0&&Er<16?(xn=vr[Er-1],Nt=Tr[Er-1]):Er===255&&(xn=r.readByte()<<8|r.readByte(),Nt=r.readByte()<<8|r.readByte())}if(r.readBool()&&r.readBool(),r.readBool()&&(r.readBits(4),r.readBool()&&r.readBits(24)),r.readBool()&&(r.readUEG(),r.readUEG()),r.readBool()){let Er=r.readBits(32),vr=r.readBits(32);Un=r.readBool(),lr=vr,Yn=Er*2,Sn=lr/Yn}}let Hr=1;(xn!==1||Nt!==1)&&(Hr=xn/Nt);let Dr=0,Yr=0;if(ze===0)Dr=1,Yr=2-Me;else{let Er=ze===3?1:2,vr=ze===1?2:1;Dr=Er,Yr=vr*(2-Me)}let zr=(xt+1)*16,Qr=(2-Me)*((it+1)*16);zr-=(ke+bt)*Dr,Qr-=(Mt+An)*Yr;let Gr=Math.ceil(zr*Hr);return r.destroy(),r=null,{profile_string:C,level_string:N,bit_depth:Yt,ref_frames:De,chroma_format:be,chroma_format_string:rn.getChromaFormatString(be),frame_rate:{fixed:Un,fps:Sn,fps_den:Yn,fps_num:lr},sar_ratio:{width:xn,height:Nt},codec_size:{width:zr,height:Qr},present_size:{width:Gr,height:Qr}}}static _skipScalingList(e,n){let r=8,o=8,d=0;for(let C=0;C>>8&255|(W&255)<<8}function S(W){return(W&4278190080)>>>24|(W&16711680)>>>8|(W&65280)<<8|(W&255)<<24}function y(W,e){return W[e]<<24|W[e+1]<<16|W[e+2]<<8|W[e+3]}class L{constructor(e,n){this.TAG="FLVDemuxer",this._config=n,this._onError=null,this._onMediaInfo=null,this._onMetaDataArrived=null,this._onScriptDataArrived=null,this._onTrackMetadata=null,this._onDataAvailable=null,this._dataOffset=e.dataOffset,this._firstParse=!0,this._dispatch=!1,this._hasAudio=e.hasAudioTrack,this._hasVideo=e.hasVideoTrack,this._hasAudioFlagOverrided=!1,this._hasVideoFlagOverrided=!1,this._audioInitialMetadataDispatched=!1,this._videoInitialMetadataDispatched=!1,this._mediaInfo=new Kt,this._mediaInfo.hasAudio=this._hasAudio,this._mediaInfo.hasVideo=this._hasVideo,this._metadata=null,this._audioMetadata=null,this._videoMetadata=null,this._naluLengthSize=4,this._timestampBase=0,this._timescale=1e3,this._duration=0,this._durationOverrided=!1,this._referenceFrameRate={fixed:!0,fps:23.976,fps_num:23976,fps_den:1e3},this._flvSoundRateTable=[5500,11025,22050,44100,48e3],this._mpegSamplingRates=[96e3,88200,64e3,48e3,44100,32e3,24e3,22050,16e3,12e3,11025,8e3,7350],this._mpegAudioV10SampleRateTable=[44100,48e3,32e3,0],this._mpegAudioV20SampleRateTable=[22050,24e3,16e3,0],this._mpegAudioV25SampleRateTable=[11025,12e3,8e3,0],this._mpegAudioL1BitRateTable=[0,32,64,96,128,160,192,224,256,288,320,352,384,416,448,-1],this._mpegAudioL2BitRateTable=[0,32,48,56,64,80,96,112,128,160,192,224,256,320,384,-1],this._mpegAudioL3BitRateTable=[0,32,40,48,56,64,80,96,112,128,160,192,224,256,320,-1],this._videoTrack={type:"video",id:1,sequenceNumber:0,samples:[],length:0},this._audioTrack={type:"audio",id:2,sequenceNumber:0,samples:[],length:0},this._littleEndian=function(){let r=new ArrayBuffer(2);return new DataView(r).setInt16(0,256,!0),new Int16Array(r)[0]===256}()}destroy(){this._mediaInfo=null,this._metadata=null,this._audioMetadata=null,this._videoMetadata=null,this._videoTrack=null,this._audioTrack=null,this._onError=null,this._onMediaInfo=null,this._onMetaDataArrived=null,this._onScriptDataArrived=null,this._onTrackMetadata=null,this._onDataAvailable=null}static probe(e){let n=new Uint8Array(e),r={match:!1};if(n[0]!==70||n[1]!==76||n[2]!==86||n[3]!==1)return r;let o=(n[4]&4)>>>2!==0,d=(n[4]&1)!==0,C=y(n,5);return C<9?r:{match:!0,consumed:C,dataOffset:C,hasAudioTrack:o,hasVideoTrack:d}}bindDataSource(e){return e.onDataArrival=this.parseChunks.bind(this),this}get onTrackMetadata(){return this._onTrackMetadata}set onTrackMetadata(e){this._onTrackMetadata=e}get onMediaInfo(){return this._onMediaInfo}set onMediaInfo(e){this._onMediaInfo=e}get onMetaDataArrived(){return this._onMetaDataArrived}set onMetaDataArrived(e){this._onMetaDataArrived=e}get onScriptDataArrived(){return this._onScriptDataArrived}set onScriptDataArrived(e){this._onScriptDataArrived=e}get onError(){return this._onError}set onError(e){this._onError=e}get onDataAvailable(){return this._onDataAvailable}set onDataAvailable(e){this._onDataAvailable=e}get timestampBase(){return this._timestampBase}set timestampBase(e){this._timestampBase=e}get overridedDuration(){return this._duration}set overridedDuration(e){this._durationOverrided=!0,this._duration=e,this._mediaInfo.duration=e}set overridedHasAudio(e){this._hasAudioFlagOverrided=!0,this._hasAudio=e,this._mediaInfo.hasAudio=e}set overridedHasVideo(e){this._hasVideoFlagOverrided=!0,this._hasVideo=e,this._mediaInfo.hasVideo=e}resetMediaInfo(){this._mediaInfo=new Kt}_isInitialMetadataDispatched(){return this._hasAudio&&this._hasVideo?this._audioInitialMetadataDispatched&&this._videoInitialMetadataDispatched:this._hasAudio&&!this._hasVideo?this._audioInitialMetadataDispatched:!this._hasAudio&&this._hasVideo?this._videoInitialMetadataDispatched:!1}parseChunks(e,n){if(!this._onError||!this._onMediaInfo||!this._onTrackMetadata||!this._onDataAvailable)throw new Je("Flv: onError & onMediaInfo & onTrackMetadata & onDataAvailable callback must be specified");let r=0,o=this._littleEndian;if(n===0)if(e.byteLength>13)r=L.probe(e).dataOffset;else return 0;for(this._firstParse&&(this._firstParse=!1,n+r!==this._dataOffset&&M.w(this.TAG,"First time parsing but chunk byteStart invalid!"),new DataView(e,r).getUint32(0,!o)!==0&&M.w(this.TAG,"PrevTagSize0 !== 0 !!!"),r+=4);re.byteLength)break;let C=d.getUint8(0),N=d.getUint32(0,!o)&16777215;if(r+11+N+4>e.byteLength)break;if(C!==8&&C!==9&&C!==18){M.w(this.TAG,`Unsupported tag type ${C}, skipped`),r+=11+N+4;continue}let ze=d.getUint8(4),be=d.getUint8(5),ot=d.getUint8(6),Yt=d.getUint8(7),je=ot|be<<8|ze<<16|Yt<<24;(d.getUint32(7,!o)&16777215)!==0&&M.w(this.TAG,"Meet tag which has StreamID != 0!");let xt=r+11;switch(C){case 8:this._parseAudioData(e,xt,N,je);break;case 9:this._parseVideoData(e,xt,N,je,n+r);break;case 18:this._parseScriptData(e,xt,N);break}let it=d.getUint32(11+N,!o);it!==11+N&&M.w(this.TAG,`Invalid PrevTagSize ${it}`),r+=11+N+4}return this._isInitialMetadataDispatched()&&this._dispatch&&(this._audioTrack.length||this._videoTrack.length)&&this._onDataAvailable(this._audioTrack,this._videoTrack),r}_parseScriptData(e,n,r){let o=Ze.parseScriptData(e,n,r);if(o.hasOwnProperty("onMetaData")){if(o.onMetaData==null||typeof o.onMetaData!="object"){M.w(this.TAG,"Invalid onMetaData structure!");return}this._metadata&&M.w(this.TAG,"Found another onMetaData tag!"),this._metadata=o;let d=this._metadata.onMetaData;if(this._onMetaDataArrived&&this._onMetaDataArrived(Object.assign({},d)),typeof d.hasAudio=="boolean"&&this._hasAudioFlagOverrided===!1&&(this._hasAudio=d.hasAudio,this._mediaInfo.hasAudio=this._hasAudio),typeof d.hasVideo=="boolean"&&this._hasVideoFlagOverrided===!1&&(this._hasVideo=d.hasVideo,this._mediaInfo.hasVideo=this._hasVideo),typeof d.audiodatarate=="number"&&(this._mediaInfo.audioDataRate=d.audiodatarate),typeof d.videodatarate=="number"&&(this._mediaInfo.videoDataRate=d.videodatarate),typeof d.width=="number"&&(this._mediaInfo.width=d.width),typeof d.height=="number"&&(this._mediaInfo.height=d.height),typeof d.duration=="number"){if(!this._durationOverrided){let C=Math.floor(d.duration*this._timescale);this._duration=C,this._mediaInfo.duration=C}}else this._mediaInfo.duration=0;if(typeof d.framerate=="number"){let C=Math.floor(d.framerate*1e3);if(C>0){let N=C/1e3;this._referenceFrameRate.fixed=!0,this._referenceFrameRate.fps=N,this._referenceFrameRate.fps_num=C,this._referenceFrameRate.fps_den=1e3,this._mediaInfo.fps=N}}if(typeof d.keyframes=="object"){this._mediaInfo.hasKeyframesIndex=!0;let C=d.keyframes;this._mediaInfo.keyframesIndex=this._parseKeyframesIndex(C),d.keyframes=null}else this._mediaInfo.hasKeyframesIndex=!1;this._dispatch=!1,this._mediaInfo.metadata=d,M.v(this.TAG,"Parsed onMetaData"),this._mediaInfo.isComplete()&&this._onMediaInfo(this._mediaInfo)}Object.keys(o).length>0&&this._onScriptDataArrived&&this._onScriptDataArrived(Object.assign({},o))}_parseKeyframesIndex(e){let n=[],r=[];for(let o=1;o>>4;if(ze!==2&&ze!==10){this._onError(Gt.CODEC_UNSUPPORTED,"Flv: Unsupported audio codec idx: "+ze);return}let be=0,ot=(N&12)>>>2;if(ot>=0&&ot<=4)be=this._flvSoundRateTable[ot];else{this._onError(Gt.FORMAT_ERROR,"Flv: Invalid audio sample rate idx: "+ot);return}let Yt=(N&2)>>>1,je=N&1,De=this._audioMetadata,xt=this._audioTrack;if(De||(this._hasAudio===!1&&this._hasAudioFlagOverrided===!1&&(this._hasAudio=!0,this._mediaInfo.hasAudio=!0),De=this._audioMetadata={},De.type="audio",De.id=xt.id,De.timescale=this._timescale,De.duration=this._duration,De.audioSampleRate=be,De.channelCount=je===0?1:2),ze===10){let it=this._parseAACAudioData(e,n+1,r-1);if(it==null)return;if(it.packetType===0){De.config&&M.w(this.TAG,"Found another AudioSpecificConfig!");let Me=it.data;De.audioSampleRate=Me.samplingRate,De.channelCount=Me.channelCount,De.codec=Me.codec,De.originalCodec=Me.originalCodec,De.config=Me.config,De.refSampleDuration=1024/De.audioSampleRate*De.timescale,M.v(this.TAG,"Parsed AudioSpecificConfig"),this._isInitialMetadataDispatched()?this._dispatch&&(this._audioTrack.length||this._videoTrack.length)&&this._onDataAvailable(this._audioTrack,this._videoTrack):this._audioInitialMetadataDispatched=!0,this._dispatch=!1,this._onTrackMetadata("audio",De);let ke=this._mediaInfo;ke.audioCodec=De.originalCodec,ke.audioSampleRate=De.audioSampleRate,ke.audioChannelCount=De.channelCount,ke.hasVideo?ke.videoCodec!=null&&(ke.mimeType='video/x-flv; codecs="'+ke.videoCodec+","+ke.audioCodec+'"'):ke.mimeType='video/x-flv; codecs="'+ke.audioCodec+'"',ke.isComplete()&&this._onMediaInfo(ke)}else if(it.packetType===1){let Me=this._timestampBase+o,ke={unit:it.data,length:it.data.byteLength,dts:Me,pts:Me};xt.samples.push(ke),xt.length+=it.data.length}else M.e(this.TAG,`Flv: Unsupported AAC data type ${it.packetType}`)}else if(ze===2){if(!De.codec){let bt=this._parseMP3AudioData(e,n+1,r-1,!0);if(bt==null)return;De.audioSampleRate=bt.samplingRate,De.channelCount=bt.channelCount,De.codec=bt.codec,De.originalCodec=bt.originalCodec,De.refSampleDuration=1152/De.audioSampleRate*De.timescale,M.v(this.TAG,"Parsed MPEG Audio Frame Header"),this._audioInitialMetadataDispatched=!0,this._onTrackMetadata("audio",De);let Mt=this._mediaInfo;Mt.audioCodec=De.codec,Mt.audioSampleRate=De.audioSampleRate,Mt.audioChannelCount=De.channelCount,Mt.audioDataRate=bt.bitRate,Mt.hasVideo?Mt.videoCodec!=null&&(Mt.mimeType='video/x-flv; codecs="'+Mt.videoCodec+","+Mt.audioCodec+'"'):Mt.mimeType='video/x-flv; codecs="'+Mt.audioCodec+'"',Mt.isComplete()&&this._onMediaInfo(Mt)}let it=this._parseMP3AudioData(e,n+1,r-1,!1);if(it==null)return;let Me=this._timestampBase+o,ke={unit:it,length:it.byteLength,dts:Me,pts:Me};xt.samples.push(ke),xt.length+=it.length}}_parseAACAudioData(e,n,r){if(r<=1){M.w(this.TAG,"Flv: Invalid AAC packet, missing AACPacketType or/and Data!");return}let o={},d=new Uint8Array(e,n,r);return o.packetType=d[0],d[0]===0?o.data=this._parseAACAudioSpecificConfig(e,n+1,r-1):o.data=d.subarray(1),o}_parseAACAudioSpecificConfig(e,n,r){let o=new Uint8Array(e,n,r),d=null,C=0,N=0,ze=null,be=0,ot=null;if(C=N=o[0]>>>3,be=(o[0]&7)<<1|o[1]>>>7,be<0||be>=this._mpegSamplingRates.length){this._onError(Gt.FORMAT_ERROR,"Flv: AAC invalid sampling frequency index!");return}let Yt=this._mpegSamplingRates[be],je=(o[1]&120)>>>3;if(je<0||je>=8){this._onError(Gt.FORMAT_ERROR,"Flv: AAC invalid channel configuration");return}C===5&&(ot=(o[1]&7)<<1|o[2]>>>7,ze=(o[2]&124)>>>2);let De=self.navigator.userAgent.toLowerCase();return De.indexOf("firefox")!==-1?be>=6?(C=5,d=new Array(4),ot=be-3):(C=2,d=new Array(2),ot=be):De.indexOf("android")!==-1?(C=2,d=new Array(2),ot=be):(C=5,ot=be,d=new Array(4),be>=6?ot=be-3:je===1&&(C=2,d=new Array(2),ot=be)),d[0]=C<<3,d[0]|=(be&15)>>>1,d[1]=(be&15)<<7,d[1]|=(je&15)<<3,C===5&&(d[1]|=(ot&15)>>>1,d[2]=(ot&1)<<7,d[2]|=8,d[3]=0),{config:d,samplingRate:Yt,channelCount:je,codec:"mp4a.40."+C,originalCodec:"mp4a.40."+N}}_parseMP3AudioData(e,n,r,o){if(r<4){M.w(this.TAG,"Flv: Invalid MP3 packet, header missing!");return}let d=this._littleEndian,C=new Uint8Array(e,n,r),N=null;if(o){if(C[0]!==255)return;let ze=C[1]>>>3&3,be=(C[1]&6)>>1,ot=(C[2]&240)>>>4,Yt=(C[2]&12)>>>2,De=(C[3]>>>6&3)!==3?2:1,xt=0,it=0,Me=34,ke="mp3";switch(ze){case 0:xt=this._mpegAudioV25SampleRateTable[Yt];break;case 2:xt=this._mpegAudioV20SampleRateTable[Yt];break;case 3:xt=this._mpegAudioV10SampleRateTable[Yt];break}switch(be){case 1:Me=34,ot>>4,ze=C&15;if(ze!==7){this._onError(Gt.CODEC_UNSUPPORTED,`Flv: Unsupported codec in video frame: ${ze}`);return}this._parseAVCVideoPacket(e,n+1,r-1,o,d,N)}_parseAVCVideoPacket(e,n,r,o,d,C){if(r<4){M.w(this.TAG,"Flv: Invalid AVC packet, missing AVCPacketType or/and CompositionTime");return}let N=this._littleEndian,ze=new DataView(e,n,r),be=ze.getUint8(0),Yt=(ze.getUint32(0,!N)&16777215)<<8>>8;if(be===0)this._parseAVCDecoderConfigurationRecord(e,n+4,r-4);else if(be===1)this._parseAVCVideoData(e,n+4,r-4,o,d,C,Yt);else if(be!==2){this._onError(Gt.FORMAT_ERROR,`Flv: Invalid video packet type ${be}`);return}}_parseAVCDecoderConfigurationRecord(e,n,r){if(r<7){M.w(this.TAG,"Flv: Invalid AVCDecoderConfigurationRecord, lack of data!");return}let o=this._videoMetadata,d=this._videoTrack,C=this._littleEndian,N=new DataView(e,n,r);o?typeof o.avcc!="undefined"&&M.w(this.TAG,"Found another AVCDecoderConfigurationRecord!"):(this._hasVideo===!1&&this._hasVideoFlagOverrided===!1&&(this._hasVideo=!0,this._mediaInfo.hasVideo=!0),o=this._videoMetadata={},o.type="video",o.id=d.id,o.timescale=this._timescale,o.duration=this._duration);let ze=N.getUint8(0),be=N.getUint8(1),ot=N.getUint8(2),Yt=N.getUint8(3);if(ze!==1||be===0){this._onError(Gt.FORMAT_ERROR,"Flv: Invalid AVCDecoderConfigurationRecord");return}if(this._naluLengthSize=(N.getUint8(4)&3)+1,this._naluLengthSize!==3&&this._naluLengthSize!==4){this._onError(Gt.FORMAT_ERROR,`Flv: Strange NaluLengthSizeMinusOne: ${this._naluLengthSize-1}`);return}let je=N.getUint8(5)&31;if(je===0){this._onError(Gt.FORMAT_ERROR,"Flv: Invalid AVCDecoderConfigurationRecord: No SPS");return}else je>1&&M.w(this.TAG,`Flv: Strange AVCDecoderConfigurationRecord: SPS Count = ${je}`);let De=6;for(let it=0;it1&&M.w(this.TAG,`Flv: Strange AVCDecoderConfigurationRecord: PPS Count = ${xt}`);De++;for(let it=0;it=r){M.w(this.TAG,`Malformed Nalu near timestamp ${xt}, offset = ${je}, dataSize = ${r}`);break}let Me=be.getUint32(je,!ze);if(De===3&&(Me>>>=8),Me>r-De){M.w(this.TAG,`Malformed Nalus near timestamp ${xt}, NaluSize > DataSize!`);return}let ke=be.getUint8(je+De)&31;ke===5&&(it=!0);let bt=new Uint8Array(e,n+je,De+Me),Mt={type:ke,data:bt};ot.push(Mt),Yt+=bt.byteLength,je+=De+Me}if(ot.length){let Me=this._videoTrack,ke={units:ot,length:Yt,isKeyframe:it,dts:xt,cts:N,pts:xt+N};it&&(ke.fileposition=d),Me.samples.push(ke),Me.length+=Yt}}}var Q=L;class g{static init(){g.types={avc1:[],avcC:[],btrt:[],dinf:[],dref:[],esds:[],ftyp:[],hdlr:[],mdat:[],mdhd:[],mdia:[],mfhd:[],minf:[],moof:[],moov:[],mp4a:[],mvex:[],mvhd:[],sdtp:[],stbl:[],stco:[],stsc:[],stsd:[],stsz:[],stts:[],tfdt:[],tfhd:[],traf:[],trak:[],trun:[],trex:[],tkhd:[],vmhd:[],smhd:[],".mp3":[]};for(let n in g.types)g.types.hasOwnProperty(n)&&(g.types[n]=[n.charCodeAt(0),n.charCodeAt(1),n.charCodeAt(2),n.charCodeAt(3)]);let e=g.constants={};e.FTYP=new Uint8Array([105,115,111,109,0,0,0,1,105,115,111,109,97,118,99,49]),e.STSD_PREFIX=new Uint8Array([0,0,0,0,0,0,0,1]),e.STTS=new Uint8Array([0,0,0,0,0,0,0,0]),e.STSC=e.STCO=e.STTS,e.STSZ=new Uint8Array([0,0,0,0,0,0,0,0,0,0,0,0]),e.HDLR_VIDEO=new Uint8Array([0,0,0,0,0,0,0,0,118,105,100,101,0,0,0,0,0,0,0,0,0,0,0,0,86,105,100,101,111,72,97,110,100,108,101,114,0]),e.HDLR_AUDIO=new Uint8Array([0,0,0,0,0,0,0,0,115,111,117,110,0,0,0,0,0,0,0,0,0,0,0,0,83,111,117,110,100,72,97,110,100,108,101,114,0]),e.DREF=new Uint8Array([0,0,0,0,0,0,0,1,0,0,0,12,117,114,108,32,0,0,0,1]),e.SMHD=new Uint8Array([0,0,0,0,0,0,0,0]),e.VMHD=new Uint8Array([0,0,0,1,0,0,0,0,0,0,0,0])}static box(e){let n=8,r=null,o=Array.prototype.slice.call(arguments,1),d=o.length;for(let N=0;N>>24&255,r[1]=n>>>16&255,r[2]=n>>>8&255,r[3]=n&255,r.set(e,4);let C=8;for(let N=0;N>>24&255,e>>>16&255,e>>>8&255,e&255,n>>>24&255,n>>>16&255,n>>>8&255,n&255,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,64,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,255,255,255,255]))}static trak(e){return g.box(g.types.trak,g.tkhd(e),g.mdia(e))}static tkhd(e){let n=e.id,r=e.duration,o=e.presentWidth,d=e.presentHeight;return g.box(g.types.tkhd,new Uint8Array([0,0,0,7,0,0,0,0,0,0,0,0,n>>>24&255,n>>>16&255,n>>>8&255,n&255,0,0,0,0,r>>>24&255,r>>>16&255,r>>>8&255,r&255,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,64,0,0,0,o>>>8&255,o&255,0,0,d>>>8&255,d&255,0,0]))}static mdia(e){return g.box(g.types.mdia,g.mdhd(e),g.hdlr(e),g.minf(e))}static mdhd(e){let n=e.timescale,r=e.duration;return g.box(g.types.mdhd,new Uint8Array([0,0,0,0,0,0,0,0,0,0,0,0,n>>>24&255,n>>>16&255,n>>>8&255,n&255,r>>>24&255,r>>>16&255,r>>>8&255,r&255,85,196,0,0]))}static hdlr(e){let n=null;return e.type==="audio"?n=g.constants.HDLR_AUDIO:n=g.constants.HDLR_VIDEO,g.box(g.types.hdlr,n)}static minf(e){let n=null;return e.type==="audio"?n=g.box(g.types.smhd,g.constants.SMHD):n=g.box(g.types.vmhd,g.constants.VMHD),g.box(g.types.minf,n,g.dinf(),g.stbl(e))}static dinf(){return g.box(g.types.dinf,g.box(g.types.dref,g.constants.DREF))}static stbl(e){return g.box(g.types.stbl,g.stsd(e),g.box(g.types.stts,g.constants.STTS),g.box(g.types.stsc,g.constants.STSC),g.box(g.types.stsz,g.constants.STSZ),g.box(g.types.stco,g.constants.STCO))}static stsd(e){return e.type==="audio"?e.codec==="mp3"?g.box(g.types.stsd,g.constants.STSD_PREFIX,g.mp3(e)):g.box(g.types.stsd,g.constants.STSD_PREFIX,g.mp4a(e)):g.box(g.types.stsd,g.constants.STSD_PREFIX,g.avc1(e))}static mp3(e){let n=e.channelCount,r=e.audioSampleRate,o=new Uint8Array([0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,n,0,16,0,0,0,0,r>>>8&255,r&255,0,0]);return g.box(g.types[".mp3"],o)}static mp4a(e){let n=e.channelCount,r=e.audioSampleRate,o=new Uint8Array([0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,n,0,16,0,0,0,0,r>>>8&255,r&255,0,0]);return g.box(g.types.mp4a,o,g.esds(e))}static esds(e){let n=e.config||[],r=n.length,o=new Uint8Array([0,0,0,0,3,23+r,0,1,0,4,15+r,64,21,0,0,0,0,0,0,0,0,0,0,0,5].concat([r]).concat(n).concat([6,1,2]));return g.box(g.types.esds,o)}static avc1(e){let n=e.avcc,r=e.codecWidth,o=e.codecHeight,d=new Uint8Array([0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,r>>>8&255,r&255,o>>>8&255,o&255,0,72,0,0,0,72,0,0,0,0,0,0,0,1,10,120,113,113,47,102,108,118,46,106,115,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,24,255,255]);return g.box(g.types.avc1,d,g.box(g.types.avcC,n))}static mvex(e){return g.box(g.types.mvex,g.trex(e))}static trex(e){let n=e.id,r=new Uint8Array([0,0,0,0,n>>>24&255,n>>>16&255,n>>>8&255,n&255,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,1]);return g.box(g.types.trex,r)}static moof(e,n){return g.box(g.types.moof,g.mfhd(e.sequenceNumber),g.traf(e,n))}static mfhd(e){let n=new Uint8Array([0,0,0,0,e>>>24&255,e>>>16&255,e>>>8&255,e&255]);return g.box(g.types.mfhd,n)}static traf(e,n){let r=e.id,o=g.box(g.types.tfhd,new Uint8Array([0,0,0,0,r>>>24&255,r>>>16&255,r>>>8&255,r&255])),d=g.box(g.types.tfdt,new Uint8Array([0,0,0,0,n>>>24&255,n>>>16&255,n>>>8&255,n&255])),C=g.sdtp(e),N=g.trun(e,C.byteLength+16+16+8+16+8+8);return g.box(g.types.traf,o,d,N,C)}static sdtp(e){let n=e.samples||[],r=n.length,o=new Uint8Array(4+r);for(let d=0;d>>24&255,o>>>16&255,o>>>8&255,o&255,n>>>24&255,n>>>16&255,n>>>8&255,n&255],0);for(let N=0;N>>24&255,ze>>>16&255,ze>>>8&255,ze&255,be>>>24&255,be>>>16&255,be>>>8&255,be&255,ot.isLeading<<2|ot.dependsOn,ot.isDependedOn<<6|ot.hasRedundancy<<4|ot.isNonSync,0,0,Yt>>>24&255,Yt>>>16&255,Yt>>>8&255,Yt&255],12+16*N)}return g.box(g.types.trun,C)}static mdat(e){return g.box(g.types.mdat,e)}}g.init();var H=g;class ne{static getSilentFrame(e,n){if(e==="mp4a.40.2"){if(n===1)return new Uint8Array([0,200,0,128,35,128]);if(n===2)return new Uint8Array([33,0,73,144,2,25,0,35,128]);if(n===3)return new Uint8Array([0,200,0,128,32,132,1,38,64,8,100,0,142]);if(n===4)return new Uint8Array([0,200,0,128,32,132,1,38,64,8,100,0,128,44,128,8,2,56]);if(n===5)return new Uint8Array([0,200,0,128,32,132,1,38,64,8,100,0,130,48,4,153,0,33,144,2,56]);if(n===6)return new Uint8Array([0,200,0,128,32,132,1,38,64,8,100,0,130,48,4,153,0,33,144,2,0,178,0,32,8,224])}else{if(n===1)return new Uint8Array([1,64,34,128,163,78,230,128,186,8,0,0,0,28,6,241,193,10,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,94]);if(n===2)return new Uint8Array([1,64,34,128,163,94,230,128,186,8,0,0,0,0,149,0,6,241,161,10,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,94]);if(n===3)return new Uint8Array([1,64,34,128,163,94,230,128,186,8,0,0,0,0,149,0,6,241,161,10,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,94])}return null}}var $e=ne;class Bt{constructor(e,n,r,o,d){this.dts=e,this.pts=n,this.duration=r,this.originalDts=o,this.isSyncPoint=d,this.fileposition=null}}class en{constructor(){this.beginDts=0,this.endDts=0,this.beginPts=0,this.endPts=0,this.originalBeginDts=0,this.originalEndDts=0,this.syncPoints=[],this.firstSample=null,this.lastSample=null}appendSyncPoint(e){e.isSyncPoint=!0,this.syncPoints.push(e)}}class st{constructor(){this._list=[]}clear(){this._list=[]}appendArray(e){let n=this._list;e.length!==0&&(n.length>0&&e[0].originalDts=n[d].dts&&en[o].lastSample.originalDts&&e=n[o].lastSample.originalDts&&(o===n.length-1||o0&&(d=this._searchNearestSegmentBefore(r.originalBeginDts)+1),this._lastAppendLocation=d,this._list.splice(d,0,r)}getLastSegmentBefore(e){let n=this._searchNearestSegmentBefore(e);return n>=0?this._list[n]:null}getLastSampleBefore(e){let n=this.getLastSegmentBefore(e);return n!=null?n.lastSample:null}getLastSyncPointBefore(e){let n=this._searchNearestSegmentBefore(e),r=this._list[n].syncPoints;for(;r.length===0&&n>0;)n--,r=this._list[n].syncPoints;return r.length>0?r[r.length-1]:null}}class x{constructor(e){this.TAG="MP4Remuxer",this._config=e,this._isLive=e.isLive===!0,this._dtsBase=-1,this._dtsBaseInited=!1,this._audioDtsBase=1/0,this._videoDtsBase=1/0,this._audioNextDts=void 0,this._videoNextDts=void 0,this._audioStashedLastSample=null,this._videoStashedLastSample=null,this._audioMeta=null,this._videoMeta=null,this._audioSegmentInfoList=new jt("audio"),this._videoSegmentInfoList=new jt("video"),this._onInitSegment=null,this._onMediaSegment=null,this._forceFirstIDR=!!(fe.chrome&&(fe.version.major<50||fe.version.major===50&&fe.version.build<2661)),this._fillSilentAfterSeek=fe.msedge||fe.msie,this._mp3UseMpegAudio=!fe.firefox,this._fillAudioTimestampGap=this._config.fixAudioTimestampGap}destroy(){this._dtsBase=-1,this._dtsBaseInited=!1,this._audioMeta=null,this._videoMeta=null,this._audioSegmentInfoList.clear(),this._audioSegmentInfoList=null,this._videoSegmentInfoList.clear(),this._videoSegmentInfoList=null,this._onInitSegment=null,this._onMediaSegment=null}bindDataSource(e){return e.onDataAvailable=this.remux.bind(this),e.onTrackMetadata=this._onTrackMetadataReceived.bind(this),this}get onInitSegment(){return this._onInitSegment}set onInitSegment(e){this._onInitSegment=e}get onMediaSegment(){return this._onMediaSegment}set onMediaSegment(e){this._onMediaSegment=e}insertDiscontinuity(){this._audioNextDts=this._videoNextDts=void 0}seek(e){this._audioStashedLastSample=null,this._videoStashedLastSample=null,this._videoSegmentInfoList.clear(),this._audioSegmentInfoList.clear()}remux(e,n){if(!this._onMediaSegment)throw new Je("MP4Remuxer: onMediaSegment callback must be specificed!");this._dtsBaseInited||this._calculateDtsBase(e,n),this._remuxVideo(n),this._remuxAudio(e)}_onTrackMetadataReceived(e,n){let r=null,o="mp4",d=n.codec;if(e==="audio")this._audioMeta=n,n.codec==="mp3"&&this._mp3UseMpegAudio?(o="mpeg",d="",r=new Uint8Array):r=H.generateInitSegment(n);else if(e==="video")this._videoMeta=n,r=H.generateInitSegment(n);else return;if(!this._onInitSegment)throw new Je("MP4Remuxer: onInitSegment callback must be specified!");this._onInitSegment(e,{type:e,data:r.buffer,codec:d,container:`${e}/${o}`,mediaDuration:n.duration})}_calculateDtsBase(e,n){this._dtsBaseInited||(e.samples&&e.samples.length&&(this._audioDtsBase=e.samples[0].dts),n.samples&&n.samples.length&&(this._videoDtsBase=n.samples[0].dts),this._dtsBase=Math.min(this._audioDtsBase,this._videoDtsBase),this._dtsBaseInited=!0)}flushStashedSamples(){let e=this._videoStashedLastSample,n=this._audioStashedLastSample,r={type:"video",id:1,sequenceNumber:0,samples:[],length:0};e!=null&&(r.samples.push(e),r.length=e.length);let o={type:"audio",id:2,sequenceNumber:0,samples:[],length:0};n!=null&&(o.samples.push(n),o.length=n.length),this._videoStashedLastSample=null,this._audioStashedLastSample=null,this._remuxVideo(r,!0),this._remuxAudio(o,!0)}_remuxAudio(e,n){if(this._audioMeta==null)return;let r=e,o=r.samples,d,C=-1,N=-1,ze=-1,be=this._audioMeta.refSampleDuration,ot=this._audioMeta.codec==="mp3"&&this._mp3UseMpegAudio,Yt=this._dtsBaseInited&&this._audioNextDts===void 0,je=!1;if(!o||o.length===0||o.length===1&&!n)return;let De=0,xt=null,it=0;ot?(De=0,it=r.length):(De=8,it=8+r.length);let Me=null;if(o.length>1&&(Me=o.pop(),it-=Me.length),this._audioStashedLastSample!=null){let Nt=this._audioStashedLastSample;this._audioStashedLastSample=null,o.unshift(Nt),it+=Nt.length}Me!=null&&(this._audioStashedLastSample=Me);let ke=o[0].dts-this._dtsBase;if(this._audioNextDts)d=ke-this._audioNextDts;else if(this._audioSegmentInfoList.isEmpty())d=0,this._fillSilentAfterSeek&&!this._videoSegmentInfoList.isEmpty()&&this._audioMeta.originalCodec!=="mp3"&&(je=!0);else{let Nt=this._audioSegmentInfoList.getLastSampleBefore(ke);if(Nt!=null){let Sn=ke-(Nt.originalDts+Nt.duration);Sn<=3&&(Sn=0);let Un=Nt.dts+Nt.duration+Sn;d=ke-Un}else d=0}if(je){let Nt=ke-d,Sn=this._videoSegmentInfoList.getLastSegmentBefore(ke);if(Sn!=null&&Sn.beginDts=1?Or=bt[bt.length-1].duration:Or=Math.floor(be);let Hr=!1,Dr=null;if(Or>be*1.5&&this._audioMeta.codec!=="mp3"&&this._fillAudioTimestampGap&&!fe.safari){Hr=!0;let Yr=Math.abs(Or-be),zr=Math.ceil(Yr/be),Qr=Yn+be;M.w(this.TAG,`Large audio timestamp gap detected, may cause AV sync to drift. Silent frames will be generated to avoid unsync. dts: ${Yn+Or} ms, expected: ${Yn+Math.round(be)} ms, delta: ${Math.round(Yr)} ms, generate: ${zr} frames`);let Gr=$e.getSilentFrame(this._audioMeta.originalCodec,this._audioMeta.channelCount);Gr==null&&(M.w(this.TAG,`Unable to generate silent frame for ${this._audioMeta.originalCodec} with ${this._audioMeta.channelCount} channels, repeat last frame`),Gr=Un),Dr=[];for(let vr=0;vr0){let $r=Dr[Dr.length-1];$r.duration=Tr-$r.dts}let mi={dts:Tr,pts:Tr,cts:0,unit:Gr,size:Gr.byteLength,duration:0,originalDts:lr,flags:{isLeading:0,dependsOn:1,isDependedOn:0,hasRedundancy:0}};Dr.push(mi),it+=mi.size,Qr+=be}let Er=Dr[Dr.length-1];Er.duration=Yn+Or-Er.dts,Or=Math.round(be)}bt.push({dts:Yn,pts:Yn,cts:0,unit:Sn.unit,size:Sn.unit.byteLength,duration:Or,originalDts:lr,flags:{isLeading:0,dependsOn:1,isDependedOn:0,hasRedundancy:0}}),Hr&&bt.push.apply(bt,Dr)}ot?xt=new Uint8Array(it):(xt=new Uint8Array(it),xt[0]=it>>>24&255,xt[1]=it>>>16&255,xt[2]=it>>>8&255,xt[3]=it&255,xt.set(H.types.mdat,4));for(let Nt=0;Nt1&&(De=o.pop(),je-=De.length),this._videoStashedLastSample!=null){let Mt=this._videoStashedLastSample;this._videoStashedLastSample=null,o.unshift(Mt),je+=Mt.length}De!=null&&(this._videoStashedLastSample=De);let xt=o[0].dts-this._dtsBase;if(this._videoNextDts)d=xt-this._videoNextDts;else if(this._videoSegmentInfoList.isEmpty())d=0;else{let Mt=this._videoSegmentInfoList.getLastSampleBefore(xt);if(Mt!=null){let An=xt-(Mt.originalDts+Mt.duration);An<=3&&(An=0);let yr=Mt.dts+Mt.duration+An;d=xt-yr}else d=0}let it=new en,Me=[];for(let Mt=0;Mt=1?lr=Me[Me.length-1].duration:lr=Math.floor(this._videoMeta.refSampleDuration),xn){let Yn=new Bt(Nt,Un,lr,An.dts,!0);Yn.fileposition=An.fileposition,it.appendSyncPoint(Yn)}Me.push({dts:Nt,pts:Un,cts:Sn,units:An.units,size:An.length,isKeyframe:xn,duration:lr,originalDts:yr,flags:{isLeading:0,dependsOn:xn?2:1,isDependedOn:xn?1:0,hasRedundancy:0,isNonSync:xn?0:1}})}Yt=new Uint8Array(je),Yt[0]=je>>>24&255,Yt[1]=je>>>16&255,Yt[2]=je>>>8&255,Yt[3]=je&255,Yt.set(H.types.mdat,4);for(let Mt=0;Mt{o.timestampBase=r,r+=o.duration,o.cors=e.cors,o.withCredentials=e.withCredentials,n.referrerPolicy&&(o.referrerPolicy=n.referrerPolicy)}),!isNaN(r)&&this._mediaDataSource.duration!==r&&(this._mediaDataSource.duration=r),this._mediaInfo=null,this._demuxer=null,this._remuxer=null,this._ioctl=null,this._pendingSeekTime=null,this._pendingResolveSeekPoint=null,this._statisticsReporter=null}destroy(){this._mediaInfo=null,this._mediaDataSource=null,this._statisticsReporter&&this._disableStatisticsReporter(),this._ioctl&&(this._ioctl.destroy(),this._ioctl=null),this._demuxer&&(this._demuxer.destroy(),this._demuxer=null),this._remuxer&&(this._remuxer.destroy(),this._remuxer=null),this._emitter.removeAllListeners(),this._emitter=null}on(e,n){this._emitter.addListener(e,n)}off(e,n){this._emitter.removeListener(e,n)}start(){this._loadSegment(0),this._enableStatisticsReporter()}_loadSegment(e,n){this._currentSegmentIndex=e;let r=this._mediaDataSource.segments[e],o=this._ioctl=new xe(r,this._config,e);o.onError=this._onIOException.bind(this),o.onSeeked=this._onIOSeeked.bind(this),o.onComplete=this._onIOComplete.bind(this),o.onRedirect=this._onIORedirect.bind(this),o.onRecoveredEarlyEof=this._onIORecoveredEarlyEof.bind(this),n?this._demuxer.bindDataSource(this._ioctl):o.onDataArrival=this._onInitChunkArrival.bind(this),o.open(n)}stop(){this._internalAbort(),this._disableStatisticsReporter()}_internalAbort(){this._ioctl&&(this._ioctl.destroy(),this._ioctl=null)}pause(){this._ioctl&&this._ioctl.isWorking()&&(this._ioctl.pause(),this._disableStatisticsReporter())}resume(){this._ioctl&&this._ioctl.isPaused()&&(this._ioctl.resume(),this._enableStatisticsReporter())}seek(e){if(this._mediaInfo==null||!this._mediaInfo.isSeekable())return;let n=this._searchSegmentIndexContains(e);if(n===this._currentSegmentIndex){let r=this._mediaInfo.segments[n];if(r==null)this._pendingSeekTime=e;else{let o=r.getNearestKeyframe(e);this._remuxer.seek(o.milliseconds),this._ioctl.seek(o.fileposition),this._pendingResolveSeekPoint=o.milliseconds}}else{let r=this._mediaInfo.segments[n];if(r==null)this._pendingSeekTime=e,this._internalAbort(),this._remuxer.seek(),this._remuxer.insertDiscontinuity(),this._loadSegment(n);else{let o=r.getNearestKeyframe(e);this._internalAbort(),this._remuxer.seek(e),this._remuxer.insertDiscontinuity(),this._demuxer.resetMediaInfo(),this._demuxer.timestampBase=this._mediaDataSource.segments[n].timestampBase,this._loadSegment(n,o.fileposition),this._pendingResolveSeekPoint=o.milliseconds,this._reportSegmentMediaInfo(n)}}this._enableStatisticsReporter()}_searchSegmentIndexContains(e){let n=this._mediaDataSource.segments,r=n.length-1;for(let o=0;o0)this._demuxer.bindDataSource(this._ioctl),this._demuxer.timestampBase=this._mediaDataSource.segments[this._currentSegmentIndex].timestampBase,o=this._demuxer.parseChunks(e,n);else if((r=Q.probe(e)).match){this._demuxer=new Q(r,this._config),this._remuxer||(this._remuxer=new z(this._config));let d=this._mediaDataSource;d.duration!=null&&!isNaN(d.duration)&&(this._demuxer.overridedDuration=d.duration),typeof d.hasAudio=="boolean"&&(this._demuxer.overridedHasAudio=d.hasAudio),typeof d.hasVideo=="boolean"&&(this._demuxer.overridedHasVideo=d.hasVideo),this._demuxer.timestampBase=d.segments[this._currentSegmentIndex].timestampBase,this._demuxer.onError=this._onDemuxException.bind(this),this._demuxer.onMediaInfo=this._onMediaInfo.bind(this),this._demuxer.onMetaDataArrived=this._onMetaDataArrived.bind(this),this._demuxer.onScriptDataArrived=this._onScriptDataArrived.bind(this),this._remuxer.bindDataSource(this._demuxer.bindDataSource(this._ioctl)),this._remuxer.onInitSegment=this._onRemuxerInitSegmentArrival.bind(this),this._remuxer.onMediaSegment=this._onRemuxerMediaSegmentArrival.bind(this),o=this._demuxer.parseChunks(e,n)}else r=null,M.e(this.TAG,"Non-FLV, Unsupported media type!"),Promise.resolve().then(()=>{this._internalAbort()}),this._emitter.emit(T.DEMUX_ERROR,Gt.FORMAT_UNSUPPORTED,"Non-FLV, Unsupported media type"),o=0;return o}_onMediaInfo(e){this._mediaInfo==null&&(this._mediaInfo=Object.assign({},e),this._mediaInfo.keyframesIndex=null,this._mediaInfo.segments=[],this._mediaInfo.segmentCount=this._mediaDataSource.segments.length,Object.setPrototypeOf(this._mediaInfo,Kt.prototype));let n=Object.assign({},e);Object.setPrototypeOf(n,Kt.prototype),this._mediaInfo.segments[this._currentSegmentIndex]=n,this._reportSegmentMediaInfo(this._currentSegmentIndex),this._pendingSeekTime!=null&&Promise.resolve().then(()=>{let r=this._pendingSeekTime;this._pendingSeekTime=null,this.seek(r)})}_onMetaDataArrived(e){this._emitter.emit(T.METADATA_ARRIVED,e)}_onScriptDataArrived(e){this._emitter.emit(T.SCRIPTDATA_ARRIVED,e)}_onIOSeeked(){this._remuxer.insertDiscontinuity()}_onIOComplete(e){let r=e+1;r0&&r[0].originalDts===o&&(o=r[0].pts),this._emitter.emit(T.RECOMMEND_SEEKPOINT,o)}}_enableStatisticsReporter(){this._statisticsReporter==null&&(this._statisticsReporter=self.setInterval(this._reportStatisticsInfo.bind(this),this._config.statisticsInfoReportInterval))}_disableStatisticsReporter(){this._statisticsReporter&&(self.clearInterval(this._statisticsReporter),this._statisticsReporter=null)}_reportSegmentMediaInfo(e){let n=this._mediaInfo.segments[e],r=Object.assign({},n);r.duration=this._mediaInfo.duration,r.segmentCount=this._mediaInfo.segmentCount,delete r.segments,delete r.keyframesIndex,this._emitter.emit(T.MEDIA_INFO,r)}_reportStatisticsInfo(){let e={};e.url=this._ioctl.currentURL,e.hasRedirect=this._ioctl.hasRedirect,e.hasRedirect&&(e.redirectedURL=this._ioctl.currentRedirectedURL),e.speed=this._ioctl.currentSpeed,e.loaderType=this._ioctl.loaderType,e.currentSegmentIndex=this._currentSegmentIndex,e.totalSegmentCount=this._mediaDataSource.segments.length,this._emitter.emit(T.STATISTICS_INFO,e)}}var Xe=We,ct=function(W){let e="TransmuxingWorker",n=null,r=it.bind(this);Ue.install(),W.addEventListener("message",function(Me){switch(Me.data.cmd){case"init":n=new Xe(Me.data.param[0],Me.data.param[1]),n.on(T.IO_ERROR,je.bind(this)),n.on(T.DEMUX_ERROR,De.bind(this)),n.on(T.INIT_SEGMENT,o.bind(this)),n.on(T.MEDIA_SEGMENT,d.bind(this)),n.on(T.LOADING_COMPLETE,C.bind(this)),n.on(T.RECOVERED_EARLY_EOF,N.bind(this)),n.on(T.MEDIA_INFO,ze.bind(this)),n.on(T.METADATA_ARRIVED,be.bind(this)),n.on(T.SCRIPTDATA_ARRIVED,ot.bind(this)),n.on(T.STATISTICS_INFO,Yt.bind(this)),n.on(T.RECOMMEND_SEEKPOINT,xt.bind(this));break;case"destroy":n&&(n.destroy(),n=null),W.postMessage({msg:"destroyed"});break;case"start":n.start();break;case"stop":n.stop();break;case"seek":n.seek(Me.data.param);break;case"pause":n.pause();break;case"resume":n.resume();break;case"logging_config":{let ke=Me.data.param;tt.applyConfig(ke),ke.enableCallback===!0?tt.addLogListener(r):tt.removeLogListener(r);break}}});function o(Me,ke){let bt={msg:T.INIT_SEGMENT,data:{type:Me,data:ke}};W.postMessage(bt,[ke.data])}function d(Me,ke){let bt={msg:T.MEDIA_SEGMENT,data:{type:Me,data:ke}};W.postMessage(bt,[ke.data])}function C(){let Me={msg:T.LOADING_COMPLETE};W.postMessage(Me)}function N(){let Me={msg:T.RECOVERED_EARLY_EOF};W.postMessage(Me)}function ze(Me){let ke={msg:T.MEDIA_INFO,data:Me};W.postMessage(ke)}function be(Me){let ke={msg:T.METADATA_ARRIVED,data:Me};W.postMessage(ke)}function ot(Me){let ke={msg:T.SCRIPTDATA_ARRIVED,data:Me};W.postMessage(ke)}function Yt(Me){let ke={msg:T.STATISTICS_INFO,data:Me};W.postMessage(ke)}function je(Me,ke){W.postMessage({msg:T.IO_ERROR,data:{type:Me,info:ke}})}function De(Me,ke){W.postMessage({msg:T.DEMUX_ERROR,data:{type:Me,info:ke}})}function xt(Me){W.postMessage({msg:T.RECOMMEND_SEEKPOINT,data:Me})}function it(Me,ke){W.postMessage({msg:"logcat_callback",data:{type:Me,logcat:ke}})}};class At{constructor(e,n){if(this.TAG="Transmuxer",this._emitter=new(te()),n.enableWorker&&typeof Worker!="undefined")try{let r=m(82059);this._worker=r(ct),this._workerDestroying=!1,this._worker.addEventListener("message",this._onWorkerMessage.bind(this)),this._worker.postMessage({cmd:"init",param:[e,n]}),this.e={onLoggingConfigChanged:this._onLoggingConfigChanged.bind(this)},tt.registerListener(this.e.onLoggingConfigChanged),this._worker.postMessage({cmd:"logging_config",param:tt.getConfig()})}catch(r){M.e(this.TAG,"Error while initialize transmuxing worker, fallback to inline transmuxing"),this._worker=null,this._controller=new Xe(e,n)}else this._controller=new Xe(e,n);if(this._controller){let r=this._controller;r.on(T.IO_ERROR,this._onIOError.bind(this)),r.on(T.DEMUX_ERROR,this._onDemuxError.bind(this)),r.on(T.INIT_SEGMENT,this._onInitSegment.bind(this)),r.on(T.MEDIA_SEGMENT,this._onMediaSegment.bind(this)),r.on(T.LOADING_COMPLETE,this._onLoadingComplete.bind(this)),r.on(T.RECOVERED_EARLY_EOF,this._onRecoveredEarlyEof.bind(this)),r.on(T.MEDIA_INFO,this._onMediaInfo.bind(this)),r.on(T.METADATA_ARRIVED,this._onMetaDataArrived.bind(this)),r.on(T.SCRIPTDATA_ARRIVED,this._onScriptDataArrived.bind(this)),r.on(T.STATISTICS_INFO,this._onStatisticsInfo.bind(this)),r.on(T.RECOMMEND_SEEKPOINT,this._onRecommendSeekpoint.bind(this))}}destroy(){this._worker?this._workerDestroying||(this._workerDestroying=!0,this._worker.postMessage({cmd:"destroy"}),tt.removeListener(this.e.onLoggingConfigChanged),this.e=null):(this._controller.destroy(),this._controller=null),this._emitter.removeAllListeners(),this._emitter=null}on(e,n){this._emitter.addListener(e,n)}off(e,n){this._emitter.removeListener(e,n)}hasWorker(){return this._worker!=null}open(){this._worker?this._worker.postMessage({cmd:"start"}):this._controller.start()}close(){this._worker?this._worker.postMessage({cmd:"stop"}):this._controller.stop()}seek(e){this._worker?this._worker.postMessage({cmd:"seek",param:e}):this._controller.seek(e)}pause(){this._worker?this._worker.postMessage({cmd:"pause"}):this._controller.pause()}resume(){this._worker?this._worker.postMessage({cmd:"resume"}):this._controller.resume()}_onInitSegment(e,n){Promise.resolve().then(()=>{this._emitter.emit(T.INIT_SEGMENT,e,n)})}_onMediaSegment(e,n){Promise.resolve().then(()=>{this._emitter.emit(T.MEDIA_SEGMENT,e,n)})}_onLoadingComplete(){Promise.resolve().then(()=>{this._emitter.emit(T.LOADING_COMPLETE)})}_onRecoveredEarlyEof(){Promise.resolve().then(()=>{this._emitter.emit(T.RECOVERED_EARLY_EOF)})}_onMediaInfo(e){Promise.resolve().then(()=>{this._emitter.emit(T.MEDIA_INFO,e)})}_onMetaDataArrived(e){Promise.resolve().then(()=>{this._emitter.emit(T.METADATA_ARRIVED,e)})}_onScriptDataArrived(e){Promise.resolve().then(()=>{this._emitter.emit(T.SCRIPTDATA_ARRIVED,e)})}_onStatisticsInfo(e){Promise.resolve().then(()=>{this._emitter.emit(T.STATISTICS_INFO,e)})}_onIOError(e,n){Promise.resolve().then(()=>{this._emitter.emit(T.IO_ERROR,e,n)})}_onDemuxError(e,n){Promise.resolve().then(()=>{this._emitter.emit(T.DEMUX_ERROR,e,n)})}_onRecommendSeekpoint(e){Promise.resolve().then(()=>{this._emitter.emit(T.RECOMMEND_SEEKPOINT,e)})}_onLoggingConfigChanged(e){this._worker&&this._worker.postMessage({cmd:"logging_config",param:e})}_onWorkerMessage(e){let n=e.data,r=n.data;if(n.msg==="destroyed"||this._workerDestroying){this._workerDestroying=!1,this._worker.terminate(),this._worker=null;return}switch(n.msg){case T.INIT_SEGMENT:case T.MEDIA_SEGMENT:this._emitter.emit(n.msg,r.type,r.data);break;case T.LOADING_COMPLETE:case T.RECOVERED_EARLY_EOF:this._emitter.emit(n.msg);break;case T.MEDIA_INFO:Object.setPrototypeOf(r,Kt.prototype),this._emitter.emit(n.msg,r);break;case T.METADATA_ARRIVED:case T.SCRIPTDATA_ARRIVED:case T.STATISTICS_INFO:this._emitter.emit(n.msg,r);break;case T.IO_ERROR:case T.DEMUX_ERROR:this._emitter.emit(n.msg,r.type,r.info);break;case T.RECOMMEND_SEEKPOINT:this._emitter.emit(n.msg,r);break;case"logcat_callback":M.emitter.emit("log",r.type,r.logcat);break;default:break}}}var Ft=At,u={ERROR:"error",SOURCE_OPEN:"source_open",UPDATE_END:"update_end",BUFFER_FULL:"buffer_full"};class b{constructor(e){this.TAG="MSEController",this._config=e,this._emitter=new(te()),this._config.isLive&&this._config.autoCleanupSourceBuffer==null&&(this._config.autoCleanupSourceBuffer=!0),this.e={onSourceOpen:this._onSourceOpen.bind(this),onSourceEnded:this._onSourceEnded.bind(this),onSourceClose:this._onSourceClose.bind(this),onSourceBufferError:this._onSourceBufferError.bind(this),onSourceBufferUpdateEnd:this._onSourceBufferUpdateEnd.bind(this)},this._mediaSource=null,this._mediaSourceObjectURL=null,this._mediaElement=null,this._isBufferFull=!1,this._hasPendingEos=!1,this._requireSetMediaDuration=!1,this._pendingMediaDuration=0,this._pendingSourceBufferInit=[],this._mimeTypes={video:null,audio:null},this._sourceBuffers={video:null,audio:null},this._lastInitSegments={video:null,audio:null},this._pendingSegments={video:[],audio:[]},this._pendingRemoveRanges={video:[],audio:[]},this._idrList=new st}destroy(){(this._mediaElement||this._mediaSource)&&this.detachMediaElement(),this.e=null,this._emitter.removeAllListeners(),this._emitter=null}on(e,n){this._emitter.addListener(e,n)}off(e,n){this._emitter.removeListener(e,n)}attachMediaElement(e){if(this._mediaSource)throw new Je("MediaSource has been attached to an HTMLMediaElement!");let n=this._mediaSource=new window.MediaSource;n.addEventListener("sourceopen",this.e.onSourceOpen),n.addEventListener("sourceended",this.e.onSourceEnded),n.addEventListener("sourceclose",this.e.onSourceClose),this._mediaElement=e,this._mediaSourceObjectURL=window.URL.createObjectURL(this._mediaSource),e.src=this._mediaSourceObjectURL}detachMediaElement(){if(this._mediaSource){let e=this._mediaSource;for(let n in this._sourceBuffers){let r=this._pendingSegments[n];r.splice(0,r.length),this._pendingSegments[n]=null,this._pendingRemoveRanges[n]=null,this._lastInitSegments[n]=null;let o=this._sourceBuffers[n];if(o){if(e.readyState!=="closed"){try{e.removeSourceBuffer(o)}catch(d){M.e(this.TAG,d.message)}o.removeEventListener("error",this.e.onSourceBufferError),o.removeEventListener("updateend",this.e.onSourceBufferUpdateEnd)}this._mimeTypes[n]=null,this._sourceBuffers[n]=null}}if(e.readyState==="open")try{e.endOfStream()}catch(n){M.e(this.TAG,n.message)}e.removeEventListener("sourceopen",this.e.onSourceOpen),e.removeEventListener("sourceended",this.e.onSourceEnded),e.removeEventListener("sourceclose",this.e.onSourceClose),this._pendingSourceBufferInit=[],this._isBufferFull=!1,this._idrList.clear(),this._mediaSource=null}this._mediaElement&&(this._mediaElement.src="",this._mediaElement.removeAttribute("src"),this._mediaElement=null),this._mediaSourceObjectURL&&(window.URL.revokeObjectURL(this._mediaSourceObjectURL),this._mediaSourceObjectURL=null)}appendInitSegment(e,n){if(!this._mediaSource||this._mediaSource.readyState!=="open"){this._pendingSourceBufferInit.push(e),this._pendingSegments[e.type].push(e);return}let r=e,o=`${r.container}`;r.codec&&r.codec.length>0&&(o+=`;codecs=${r.codec}`);let d=!1;if(M.v(this.TAG,"Received Initialization Segment, mimeType: "+o),this._lastInitSegments[r.type]=r,o!==this._mimeTypes[r.type]){if(this._mimeTypes[r.type])M.v(this.TAG,`Notice: ${r.type} mimeType changed, origin: ${this._mimeTypes[r.type]}, target: ${o}`);else{d=!0;try{let C=this._sourceBuffers[r.type]=this._mediaSource.addSourceBuffer(o);C.addEventListener("error",this.e.onSourceBufferError),C.addEventListener("updateend",this.e.onSourceBufferUpdateEnd)}catch(C){M.e(this.TAG,C.message),this._emitter.emit(u.ERROR,{code:C.code,msg:C.message});return}}this._mimeTypes[r.type]=o}n||this._pendingSegments[r.type].push(r),d||this._sourceBuffers[r.type]&&!this._sourceBuffers[r.type].updating&&this._doAppendSegments(),fe.safari&&r.container==="audio/mpeg"&&r.mediaDuration>0&&(this._requireSetMediaDuration=!0,this._pendingMediaDuration=r.mediaDuration/1e3,this._updateMediaSourceDuration())}appendMediaSegment(e){let n=e;this._pendingSegments[n.type].push(n),this._config.autoCleanupSourceBuffer&&this._needCleanupSourceBuffer()&&this._doCleanupSourceBuffer();let r=this._sourceBuffers[n.type];r&&!r.updating&&!this._hasPendingRemoveRanges()&&this._doAppendSegments()}seek(e){for(let n in this._sourceBuffers){if(!this._sourceBuffers[n])continue;let r=this._sourceBuffers[n];if(this._mediaSource.readyState==="open")try{r.abort()}catch(d){M.e(this.TAG,d.message)}this._idrList.clear();let o=this._pendingSegments[n];if(o.splice(0,o.length),this._mediaSource.readyState!=="closed"){for(let d=0;d=1&&e-o.start(0)>=this._config.autoCleanupMaxBackwardDuration)return!0}}return!1}_doCleanupSourceBuffer(){let e=this._mediaElement.currentTime;for(let n in this._sourceBuffers){let r=this._sourceBuffers[n];if(r){let o=r.buffered,d=!1;for(let C=0;C=this._config.autoCleanupMaxBackwardDuration){d=!0;let be=e-this._config.autoCleanupMinBackwardDuration;this._pendingRemoveRanges[n].push({start:N,end:be})}}else ze0&&(isNaN(n)||r>n)&&(M.v(this.TAG,`Update MediaSource duration from ${n} to ${r}`),this._mediaSource.duration=r),this._requireSetMediaDuration=!1,this._pendingMediaDuration=0}_doRemoveRanges(){for(let e in this._pendingRemoveRanges){if(!this._sourceBuffers[e]||this._sourceBuffers[e].updating)continue;let n=this._sourceBuffers[e],r=this._pendingRemoveRanges[e];for(;r.length&&!n.updating;){let o=r.shift();n.remove(o.start,o.end)}}}_doAppendSegments(){let e=this._pendingSegments;for(let n in e)if(!(!this._sourceBuffers[n]||this._sourceBuffers[n].updating)&&e[n].length>0){let r=e[n].shift();if(r.timestampOffset){let o=this._sourceBuffers[n].timestampOffset,d=r.timestampOffset/1e3;Math.abs(o-d)>.1&&(M.v(this.TAG,`Update MPEG audio timestampOffset from ${o} to ${d}`),this._sourceBuffers[n].timestampOffset=d),delete r.timestampOffset}if(!r.data||r.data.byteLength===0)continue;try{this._sourceBuffers[n].appendBuffer(r.data),this._isBufferFull=!1,n==="video"&&r.hasOwnProperty("info")&&this._idrList.appendArray(r.info.syncPoints)}catch(o){this._pendingSegments[n].unshift(r),o.code===22?(this._isBufferFull||this._emitter.emit(u.BUFFER_FULL),this._isBufferFull=!0):(M.e(this.TAG,o.message),this._emitter.emit(u.ERROR,{code:o.code,msg:o.message}))}}}_onSourceOpen(){if(M.v(this.TAG,"MediaSource onSourceOpen"),this._mediaSource.removeEventListener("sourceopen",this.e.onSourceOpen),this._pendingSourceBufferInit.length>0){let e=this._pendingSourceBufferInit;for(;e.length;){let n=e.shift();this.appendInitSegment(n,!0)}}this._hasPendingSegments()&&this._doAppendSegments(),this._emitter.emit(u.SOURCE_OPEN)}_onSourceEnded(){M.v(this.TAG,"MediaSource onSourceEnded")}_onSourceClose(){M.v(this.TAG,"MediaSource onSourceClose"),this._mediaSource&&this.e!=null&&(this._mediaSource.removeEventListener("sourceopen",this.e.onSourceOpen),this._mediaSource.removeEventListener("sourceended",this.e.onSourceEnded),this._mediaSource.removeEventListener("sourceclose",this.e.onSourceClose))}_hasPendingSegments(){let e=this._pendingSegments;return e.video.length>0||e.audio.length>0}_hasPendingRemoveRanges(){let e=this._pendingRemoveRanges;return e.video.length>0||e.audio.length>0}_onSourceBufferUpdateEnd(){this._requireSetMediaDuration?this._updateMediaSourceDuration():this._hasPendingRemoveRanges()?this._doRemoveRanges():this._hasPendingSegments()?this._doAppendSegments():this._hasPendingEos&&this.endOfStream(),this._emitter.emit(u.UPDATE_END)}_onSourceBufferError(e){M.e(this.TAG,`SourceBuffer Error: ${e}`)}}var U=b;const s={NETWORK_ERROR:"NetworkError",MEDIA_ERROR:"MediaError",OTHER_ERROR:"OtherError"},F={NETWORK_EXCEPTION:ye.EXCEPTION,NETWORK_STATUS_CODE_INVALID:ye.HTTP_STATUS_CODE_INVALID,NETWORK_TIMEOUT:ye.CONNECTING_TIMEOUT,NETWORK_UNRECOVERABLE_EARLY_EOF:ye.UNRECOVERABLE_EARLY_EOF,MEDIA_MSE_ERROR:"MediaMSEError",MEDIA_FORMAT_ERROR:Gt.FORMAT_ERROR,MEDIA_FORMAT_UNSUPPORTED:Gt.FORMAT_UNSUPPORTED,MEDIA_CODEC_UNSUPPORTED:Gt.CODEC_UNSUPPORTED};class w{constructor(e,n){if(this.TAG="FlvPlayer",this._type="FlvPlayer",this._emitter=new(te()),this._config=we(),typeof n=="object"&&Object.assign(this._config,n),e.type.toLowerCase()!=="flv")throw new Fe("FlvPlayer requires an flv MediaDataSource input!");e.isLive===!0&&(this._config.isLive=!0),this.e={onvLoadedMetadata:this._onvLoadedMetadata.bind(this),onvSeeking:this._onvSeeking.bind(this),onvCanPlay:this._onvCanPlay.bind(this),onvStalled:this._onvStalled.bind(this),onvProgress:this._onvProgress.bind(this)},self.performance&&self.performance.now?this._now=self.performance.now.bind(self.performance):this._now=Date.now,this._pendingSeekTime=null,this._requestSetTime=!1,this._seekpointRecord=null,this._progressChecker=null,this._mediaDataSource=e,this._mediaElement=null,this._msectl=null,this._transmuxer=null,this._mseSourceOpened=!1,this._hasPendingLoad=!1,this._receivedCanPlay=!1,this._mediaInfo=null,this._statisticsInfo=null;let r=fe.chrome&&(fe.version.major<50||fe.version.major===50&&fe.version.build<2661);this._alwaysSeekKeyframe=!!(r||fe.msedge||fe.msie),this._alwaysSeekKeyframe&&(this._config.accurateSeek=!1)}destroy(){this._progressChecker!=null&&(window.clearInterval(this._progressChecker),this._progressChecker=null),this._transmuxer&&this.unload(),this._mediaElement&&this.detachMediaElement(),this.e=null,this._mediaDataSource=null,this._emitter.removeAllListeners(),this._emitter=null}on(e,n){e===Lt.MEDIA_INFO?this._mediaInfo!=null&&Promise.resolve().then(()=>{this._emitter.emit(Lt.MEDIA_INFO,this.mediaInfo)}):e===Lt.STATISTICS_INFO&&this._statisticsInfo!=null&&Promise.resolve().then(()=>{this._emitter.emit(Lt.STATISTICS_INFO,this.statisticsInfo)}),this._emitter.addListener(e,n)}off(e,n){this._emitter.removeListener(e,n)}attachMediaElement(e){if(this._mediaElement=e,e.addEventListener("loadedmetadata",this.e.onvLoadedMetadata),e.addEventListener("seeking",this.e.onvSeeking),e.addEventListener("canplay",this.e.onvCanPlay),e.addEventListener("stalled",this.e.onvStalled),e.addEventListener("progress",this.e.onvProgress),this._msectl=new U(this._config),this._msectl.on(u.UPDATE_END,this._onmseUpdateEnd.bind(this)),this._msectl.on(u.BUFFER_FULL,this._onmseBufferFull.bind(this)),this._msectl.on(u.SOURCE_OPEN,()=>{this._mseSourceOpened=!0,this._hasPendingLoad&&(this._hasPendingLoad=!1,this.load())}),this._msectl.on(u.ERROR,n=>{this._emitter.emit(Lt.ERROR,s.MEDIA_ERROR,F.MEDIA_MSE_ERROR,n)}),this._msectl.attachMediaElement(e),this._pendingSeekTime!=null)try{e.currentTime=this._pendingSeekTime,this._pendingSeekTime=null}catch(n){}}detachMediaElement(){this._mediaElement&&(this._msectl.detachMediaElement(),this._mediaElement.removeEventListener("loadedmetadata",this.e.onvLoadedMetadata),this._mediaElement.removeEventListener("seeking",this.e.onvSeeking),this._mediaElement.removeEventListener("canplay",this.e.onvCanPlay),this._mediaElement.removeEventListener("stalled",this.e.onvStalled),this._mediaElement.removeEventListener("progress",this.e.onvProgress),this._mediaElement=null),this._msectl&&(this._msectl.destroy(),this._msectl=null)}load(){if(!this._mediaElement)throw new Je("HTMLMediaElement must be attached before load()!");if(this._transmuxer)throw new Je("FlvPlayer.load() has been called, please call unload() first!");if(!this._hasPendingLoad){if(this._config.deferLoadAfterSourceOpen&&this._mseSourceOpened===!1){this._hasPendingLoad=!0;return}this._mediaElement.readyState>0&&(this._requestSetTime=!0,this._mediaElement.currentTime=0),this._transmuxer=new Ft(this._mediaDataSource,this._config),this._transmuxer.on(T.INIT_SEGMENT,(e,n)=>{this._msectl.appendInitSegment(n)}),this._transmuxer.on(T.MEDIA_SEGMENT,(e,n)=>{if(this._msectl.appendMediaSegment(n),this._config.lazyLoad&&!this._config.isLive){let r=this._mediaElement.currentTime;n.info.endDts>=(r+this._config.lazyLoadMaxDuration)*1e3&&this._progressChecker==null&&(M.v(this.TAG,"Maximum buffering duration exceeded, suspend transmuxing task"),this._suspendTransmuxer())}}),this._transmuxer.on(T.LOADING_COMPLETE,()=>{this._msectl.endOfStream(),this._emitter.emit(Lt.LOADING_COMPLETE)}),this._transmuxer.on(T.RECOVERED_EARLY_EOF,()=>{this._emitter.emit(Lt.RECOVERED_EARLY_EOF)}),this._transmuxer.on(T.IO_ERROR,(e,n)=>{this._emitter.emit(Lt.ERROR,s.NETWORK_ERROR,e,n)}),this._transmuxer.on(T.DEMUX_ERROR,(e,n)=>{this._emitter.emit(Lt.ERROR,s.MEDIA_ERROR,e,{code:-1,msg:n})}),this._transmuxer.on(T.MEDIA_INFO,e=>{this._mediaInfo=e,this._emitter.emit(Lt.MEDIA_INFO,Object.assign({},e))}),this._transmuxer.on(T.METADATA_ARRIVED,e=>{this._emitter.emit(Lt.METADATA_ARRIVED,e)}),this._transmuxer.on(T.SCRIPTDATA_ARRIVED,e=>{this._emitter.emit(Lt.SCRIPTDATA_ARRIVED,e)}),this._transmuxer.on(T.STATISTICS_INFO,e=>{this._statisticsInfo=this._fillStatisticsInfo(e),this._emitter.emit(Lt.STATISTICS_INFO,Object.assign({},this._statisticsInfo))}),this._transmuxer.on(T.RECOMMEND_SEEKPOINT,e=>{this._mediaElement&&!this._config.accurateSeek&&(this._requestSetTime=!0,this._mediaElement.currentTime=e/1e3)}),this._transmuxer.open()}}unload(){this._mediaElement&&this._mediaElement.pause(),this._msectl&&this._msectl.seek(0),this._transmuxer&&(this._transmuxer.close(),this._transmuxer.destroy(),this._transmuxer=null)}play(){return this._mediaElement.play()}pause(){this._mediaElement.pause()}get type(){return this._type}get buffered(){return this._mediaElement.buffered}get duration(){return this._mediaElement.duration}get volume(){return this._mediaElement.volume}set volume(e){this._mediaElement.volume=e}get muted(){return this._mediaElement.muted}set muted(e){this._mediaElement.muted=e}get currentTime(){return this._mediaElement?this._mediaElement.currentTime:0}set currentTime(e){this._mediaElement?this._internalSeek(e):this._pendingSeekTime=e}get mediaInfo(){return Object.assign({},this._mediaInfo)}get statisticsInfo(){return this._statisticsInfo==null&&(this._statisticsInfo={}),this._statisticsInfo=this._fillStatisticsInfo(this._statisticsInfo),Object.assign({},this._statisticsInfo)}_fillStatisticsInfo(e){if(e.playerType=this._type,!(this._mediaElement instanceof HTMLVideoElement))return e;let n=!0,r=0,o=0;if(this._mediaElement.getVideoPlaybackQuality){let d=this._mediaElement.getVideoPlaybackQuality();r=d.totalVideoFrames,o=d.droppedVideoFrames}else this._mediaElement.webkitDecodedFrameCount!=null?(r=this._mediaElement.webkitDecodedFrameCount,o=this._mediaElement.webkitDroppedFrameCount):n=!1;return n&&(e.decodedFrames=r,e.droppedFrames=o),e}_onmseUpdateEnd(){if(!this._config.lazyLoad||this._config.isLive)return;let e=this._mediaElement.buffered,n=this._mediaElement.currentTime,r=0,o=0;for(let d=0;d=n+this._config.lazyLoadMaxDuration&&this._progressChecker==null&&(M.v(this.TAG,"Maximum buffering duration exceeded, suspend transmuxing task"),this._suspendTransmuxer())}_onmseBufferFull(){M.v(this.TAG,"MSE SourceBuffer is full, suspend transmuxing task"),this._progressChecker==null&&this._suspendTransmuxer()}_suspendTransmuxer(){this._transmuxer&&(this._transmuxer.pause(),this._progressChecker==null&&(this._progressChecker=window.setInterval(this._checkProgressAndResume.bind(this),1e3)))}_checkProgressAndResume(){let e=this._mediaElement.currentTime,n=this._mediaElement.buffered,r=!1;for(let o=0;o=d&&e=C-this._config.lazyLoadRecoverDuration&&(r=!0);break}}r&&(window.clearInterval(this._progressChecker),this._progressChecker=null,r&&(M.v(this.TAG,"Continue loading from paused position"),this._transmuxer.resume()))}_isTimepointBuffered(e){let n=this._mediaElement.buffered;for(let r=0;r=o&&e0){let d=this._mediaElement.buffered.start(0);(d<1&&e0&&n.currentTime0){let o=r.start(0);if(o<1&&n{this._emitter.emit(Lt.MEDIA_INFO,this.mediaInfo)}):e===Lt.STATISTICS_INFO&&this._mediaElement!=null&&this._mediaElement.readyState!==0&&Promise.resolve().then(()=>{this._emitter.emit(Lt.STATISTICS_INFO,this.statisticsInfo)}),this._emitter.addListener(e,n)}off(e,n){this._emitter.removeListener(e,n)}attachMediaElement(e){if(this._mediaElement=e,e.addEventListener("loadedmetadata",this.e.onvLoadedMetadata),this._pendingSeekTime!=null)try{e.currentTime=this._pendingSeekTime,this._pendingSeekTime=null}catch(n){}}detachMediaElement(){this._mediaElement&&(this._mediaElement.src="",this._mediaElement.removeAttribute("src"),this._mediaElement.removeEventListener("loadedmetadata",this.e.onvLoadedMetadata),this._mediaElement=null),this._statisticsReporter!=null&&(window.clearInterval(this._statisticsReporter),this._statisticsReporter=null)}load(){if(!this._mediaElement)throw new Je("HTMLMediaElement must be attached before load()!");this._mediaElement.src=this._mediaDataSource.url,this._mediaElement.readyState>0&&(this._mediaElement.currentTime=0),this._mediaElement.preload="auto",this._mediaElement.load(),this._statisticsReporter=window.setInterval(this._reportStatisticsInfo.bind(this),this._config.statisticsInfoReportInterval)}unload(){this._mediaElement&&(this._mediaElement.src="",this._mediaElement.removeAttribute("src")),this._statisticsReporter!=null&&(window.clearInterval(this._statisticsReporter),this._statisticsReporter=null)}play(){return this._mediaElement.play()}pause(){this._mediaElement.pause()}get type(){return this._type}get buffered(){return this._mediaElement.buffered}get duration(){return this._mediaElement.duration}get volume(){return this._mediaElement.volume}set volume(e){this._mediaElement.volume=e}get muted(){return this._mediaElement.muted}set muted(e){this._mediaElement.muted=e}get currentTime(){return this._mediaElement?this._mediaElement.currentTime:0}set currentTime(e){this._mediaElement?this._mediaElement.currentTime=e:this._pendingSeekTime=e}get mediaInfo(){let n={mimeType:(this._mediaElement instanceof HTMLAudioElement?"audio/":"video/")+this._mediaDataSource.type};return this._mediaElement&&(n.duration=Math.floor(this._mediaElement.duration*1e3),this._mediaElement instanceof HTMLVideoElement&&(n.width=this._mediaElement.videoWidth,n.height=this._mediaElement.videoHeight)),n}get statisticsInfo(){let e={playerType:this._type,url:this._mediaDataSource.url};if(!(this._mediaElement instanceof HTMLVideoElement))return e;let n=!0,r=0,o=0;if(this._mediaElement.getVideoPlaybackQuality){let d=this._mediaElement.getVideoPlaybackQuality();r=d.totalVideoFrames,o=d.droppedVideoFrames}else this._mediaElement.webkitDecodedFrameCount!=null?(r=this._mediaElement.webkitDecodedFrameCount,o=this._mediaElement.webkitDroppedFrameCount):n=!1;return n&&(e.decodedFrames=r,e.droppedFrames=o),e}_onvLoadedMetadata(e){this._pendingSeekTime!=null&&(this._mediaElement.currentTime=this._pendingSeekTime,this._pendingSeekTime=null),this._emitter.emit(Lt.MEDIA_INFO,this.mediaInfo)}_reportStatisticsInfo(){this._emitter.emit(Lt.STATISTICS_INFO,this.statisticsInfo)}}var le=Y;Ue.install();function ue(W,e){let n=W;if(n==null||typeof n!="object")throw new Fe("MediaDataSource must be an javascript object!");if(!n.hasOwnProperty("type"))throw new Fe("MediaDataSource must has type field to indicate video file type!");switch(n.type){case"flv":return new I(n,e);default:return new le(n,e)}}function Ie(){return Et.supportMSEH264Playback()}function Ne(){return Et.getFeatureList()}let 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go.PathSegment(go.PathSegment.Line,te,ne-le)).add(new go.PathSegment(go.PathSegment.Bezier,te-le,ne,te,ne-oe,te-oe,ne)).add(new go.PathSegment(go.PathSegment.Line,le,ne)).add(new go.PathSegment(go.PathSegment.Bezier,0,ne-le,oe,ne,0,ne-oe)).add(new go.PathSegment(go.PathSegment.Line,0,le)).add(new go.PathSegment(go.PathSegment.Bezier,le,0,0,oe,oe,0).close()));return oe>1&&(de.spot1=new go.Spot(0,0,oe,oe),de.spot2=new go.Spot(1,1,-oe,-oe)),de}),go.Shape.defineFigureGenerator("Border","RoundedRectangle"),go.Shape.defineFigureGenerator("TriangleRight",function(ce,te,ne){return new go.Geometry().add(new go.PathFigure(0,0).add(new go.PathSegment(go.PathSegment.Line,te,.5*ne)).add(new go.PathSegment(go.PathSegment.Line,0,ne).close())).setSpots(0,.25,.5,.75)}),go.Shape.defineFigureGenerator("TriangleDown",function(ce,te,ne){return new go.Geometry().add(new go.PathFigure(0,0).add(new go.PathSegment(go.PathSegment.Line,te,0)).add(new 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go.PathSegment(go.PathSegment.Line,le*te,ne)),de.add(new go.PathSegment(go.PathSegment.Line,0,ne)),de.add(new go.PathSegment(go.PathSegment.Line,0,0)),de.add(new go.PathSegment(go.PathSegment.Line,le*te,0).close()),oe.spot1=go.Spot.TopLeft,oe.spot2=new go.Spot(le,1),oe}),go.Shape.defineFigureGenerator("Cone1",function(ce,te,ne){var le=new go.Geometry,oe=ge*.5,de=ge*.1,he=new go.PathFigure(0,.9*ne,!0);return le.add(he),he.add(new go.PathSegment(go.PathSegment.Line,.5*te,0)),he.add(new go.PathSegment(go.PathSegment.Line,te,.9*ne)),he.add(new go.PathSegment(go.PathSegment.Bezier,.5*te,ne,te,(.9+de)*ne,(.5+oe)*te,ne)),he.add(new go.PathSegment(go.PathSegment.Bezier,0,.9*ne,(.5-oe)*te,ne,0,(.9+de)*ne).close()),le.spot1=new go.Spot(.25,.5),le.spot2=new go.Spot(.75,.97),le}),go.Shape.defineFigureGenerator("Cone2",function(ce,te,ne){var le=new go.Geometry,oe=new go.PathFigure(0,.9*ne,!0);le.add(oe),oe.add(new 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go.PathSegment(go.PathSegment.Line,0,.15*ne)),de.add(new go.PathSegment(go.PathSegment.Move,.5*te,.3*ne)),de.add(new go.PathSegment(go.PathSegment.Line,te,.15*ne)),le.spot1=new go.Spot(0,.3),le.spot2=new go.Spot(.5,.85),le}),go.Shape.defineFigureGenerator("Cube2",function(ce,te,ne){var le=new go.Geometry,oe=new go.PathFigure(0,.3*ne,!0);le.add(oe),oe.add(new go.PathSegment(go.PathSegment.Line,0,ne)),oe.add(new go.PathSegment(go.PathSegment.Line,.7*te,ne)),oe.add(new go.PathSegment(go.PathSegment.Line,te,.7*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,te,0)),oe.add(new go.PathSegment(go.PathSegment.Line,.3*te,0).close());var de=new go.PathFigure(0,.3*ne,!1);return le.add(de),de.add(new go.PathSegment(go.PathSegment.Line,.7*te,.3*ne)),de.add(new go.PathSegment(go.PathSegment.Line,te,0)),de.add(new go.PathSegment(go.PathSegment.Move,.7*te,.3*ne)),de.add(new go.PathSegment(go.PathSegment.Line,.7*te,ne)),le.spot1=new go.Spot(0,.3),le.spot2=new 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go.Spot(1,1,0,-2*le),oe}),go.Shape.defineFigureGenerator("Cylinder3",function(ce,te,ne){var le=ce?ce.parameter1:NaN;isNaN(le)&&(le=5),le=Math.min(le,te/3);var oe=new go.Geometry,de=ge*.5,he=new go.PathFigure(le,0,!0);oe.add(he),he.add(new go.PathSegment(go.PathSegment.Line,te-le,0)),he.add(new go.PathSegment(go.PathSegment.Bezier,te,.5*ne,te-ge*le,0,te,(.5-de)*ne)),he.add(new go.PathSegment(go.PathSegment.Bezier,te-le,ne,te,(.5+de)*ne,te-ge*le,ne)),he.add(new go.PathSegment(go.PathSegment.Line,le,ne)),he.add(new go.PathSegment(go.PathSegment.Bezier,0,.5*ne,ge*le,ne,0,(.5+de)*ne)),he.add(new go.PathSegment(go.PathSegment.Bezier,le,0,0,(.5-de)*ne,ge*le,0));var ie=new go.PathFigure(le,0,!1);return oe.add(ie),ie.add(new go.PathSegment(go.PathSegment.Bezier,2*le,.5*ne,le+ge*le,0,2*le,(.5-de)*ne)),ie.add(new go.PathSegment(go.PathSegment.Bezier,le,ne,2*le,(.5+de)*ne,le+ge*le,ne)),oe.spot1=new go.Spot(0,0,2*le,0),oe.spot2=new 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go.PathSegment(go.PathSegment.Line,te,de*ne)),le}),go.Shape.defineFigureGenerator("Junction",function(ce,te,ne){var le=new go.Geometry,oe=1/Math.SQRT2,de=(1-1/Math.SQRT2)/2,he=ge*.5,ie=.5,ue=new go.PathFigure(te,ie*ne,!0);le.add(ue),ue.add(new go.PathSegment(go.PathSegment.Bezier,ie*te,ne,te,(ie+he)*ne,(ie+he)*te,ne)),ue.add(new go.PathSegment(go.PathSegment.Bezier,0,ie*ne,(ie-he)*te,ne,0,(ie+he)*ne)),ue.add(new go.PathSegment(go.PathSegment.Bezier,ie*te,0,0,(ie-he)*ne,(ie-he)*te,0)),ue.add(new go.PathSegment(go.PathSegment.Bezier,te,ie*ne,(ie+he)*te,0,te,(ie-he)*ne));var ve=new go.PathFigure((de+oe)*te,(de+oe)*ne,!1);return le.add(ve),ve.add(new go.PathSegment(go.PathSegment.Line,de*te,de*ne)),ve.add(new go.PathSegment(go.PathSegment.Move,de*te,(de+oe)*ne)),ve.add(new go.PathSegment(go.PathSegment.Line,(de+oe)*te,de*ne)),le}),go.Shape.defineFigureGenerator("LinedDocument",function(ce,te,ne){var le=new go.Geometry;ne=ne/.8;var oe=new go.PathFigure(0,.7*ne,!0);le.add(oe),oe.add(new go.PathSegment(go.PathSegment.Line,0,0)),oe.add(new go.PathSegment(go.PathSegment.Line,te,0)),oe.add(new go.PathSegment(go.PathSegment.Line,te,.7*ne)),oe.add(new go.PathSegment(go.PathSegment.Bezier,0,.7*ne,.5*te,.4*ne,.5*te,ne).close());var de=new go.PathFigure(.1*te,0,!1);return le.add(de),de.add(new go.PathSegment(go.PathSegment.Line,.1*te,.75*ne)),le.spot1=new go.Spot(.1,0),le.spot2=new go.Spot(1,.6),le}),go.Shape.defineFigureGenerator("LoopLimit",function(ce,te,ne){var le=new go.Geometry,oe=new go.PathFigure(0,ne,!0);return le.add(oe),oe.add(new go.PathSegment(go.PathSegment.Line,0,.25*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,.25*te,0)),oe.add(new go.PathSegment(go.PathSegment.Line,.75*te,0)),oe.add(new go.PathSegment(go.PathSegment.Line,te,.25*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,te,ne).close()),le.spot1=new go.Spot(0,.25),le.spot2=go.Spot.BottomRight,le}),go.Shape.defineFigureGenerator("MagneticTape",function(ce,te,ne){var le=new 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go.PathFigure(0,0,!0);return le.add(de),de.add(new go.PathSegment(go.PathSegment.Line,te,0)),de.add(new go.PathSegment(go.PathSegment.Line,te,ne)),de.add(new go.PathSegment(go.PathSegment.Line,.75*te,(1-oe)*ne)),de.add(new go.PathSegment(go.PathSegment.Line,0,(1-oe)*ne).close()),le.spot1=go.Spot.TopLeft,le}),go.Shape.defineFigureGenerator("AndGate",function(ce,te,ne){var le=new go.Geometry,oe=ge*.5,de=new go.PathFigure(0,0,!0);return le.add(de),de.add(new go.PathSegment(go.PathSegment.Line,.5*te,0)),de.add(new go.PathSegment(go.PathSegment.Bezier,te,.5*ne,(.5+oe)*te,0,te,(.5-oe)*ne)),de.add(new go.PathSegment(go.PathSegment.Bezier,.5*te,ne,te,(.5+oe)*ne,(.5+oe)*te,ne)),de.add(new go.PathSegment(go.PathSegment.Line,0,ne).close()),le.spot1=go.Spot.TopLeft,le.spot2=new go.Spot(.55,1),le}),go.Shape.defineFigureGenerator("Buffer",function(ce,te,ne){var le=new go.Geometry,oe=new go.PathFigure(0,0,!0);return le.add(oe),oe.add(new go.PathSegment(go.PathSegment.Line,te,.5*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,0,ne).close()),le.spot1=new go.Spot(0,.25),le.spot2=new go.Spot(.5,.75),le}),go.Shape.defineFigureGenerator("Clock",function(ce,te,ne){var le=new go.Geometry,oe=ge*.5,de=.5,he=new go.PathFigure(te,de*ne,!0);le.add(he),he.add(new go.PathSegment(go.PathSegment.Bezier,de*te,ne,te,(de+oe)*ne,(de+oe)*te,ne)),he.add(new go.PathSegment(go.PathSegment.Bezier,0,de*ne,(de-oe)*te,ne,0,(de+oe)*ne)),he.add(new go.PathSegment(go.PathSegment.Bezier,de*te,0,0,(de-oe)*ne,(de-oe)*te,0)),he.add(new go.PathSegment(go.PathSegment.Bezier,te,de*ne,(de+oe)*te,0,te,(de-oe)*ne));var ie=new go.PathFigure(te,de*ne,!1);le.add(ie),ie.add(new go.PathSegment(go.PathSegment.Line,te,de*ne));var ue=new go.PathFigure(.8*te,.75*ne,!1);return le.add(ue),ue.add(new go.PathSegment(go.PathSegment.Line,.8*te,.25*ne)),ue.add(new go.PathSegment(go.PathSegment.Line,.6*te,.25*ne)),ue.add(new go.PathSegment(go.PathSegment.Line,.6*te,.75*ne)),ue.add(new go.PathSegment(go.PathSegment.Line,.4*te,.75*ne)),ue.add(new go.PathSegment(go.PathSegment.Line,.4*te,.25*ne)),ue.add(new go.PathSegment(go.PathSegment.Line,.2*te,.25*ne)),ue.add(new go.PathSegment(go.PathSegment.Line,.2*te,.75*ne)),le}),go.Shape.defineFigureGenerator("Ground",function(ce,te,ne){var le=new go.Geometry,oe=new go.PathFigure(.5*te,0,!1);return le.add(oe),oe.add(new go.PathSegment(go.PathSegment.Line,.5*te,.4*ne)),oe.add(new go.PathSegment(go.PathSegment.Move,.2*te,.6*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,.8*te,.6*ne)),oe.add(new go.PathSegment(go.PathSegment.Move,.3*te,.8*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,.7*te,.8*ne)),oe.add(new go.PathSegment(go.PathSegment.Move,.4*te,ne)),oe.add(new go.PathSegment(go.PathSegment.Line,.6*te,ne)),le}),go.Shape.defineFigureGenerator("Inverter",function(ce,te,ne){var le=new go.Geometry,oe=ge*.1,de=.1,he=.9,ie=.5,ue=new go.PathFigure(.8*te,.5*ne,!0);le.add(ue),ue.add(new go.PathSegment(go.PathSegment.Line,0,ne)),ue.add(new go.PathSegment(go.PathSegment.Line,0,0)),ue.add(new go.PathSegment(go.PathSegment.Line,.8*te,.5*ne));var ve=new go.PathFigure((he+de)*te,ie*ne,!0);return le.add(ve),ve.add(new go.PathSegment(go.PathSegment.Bezier,he*te,(ie+de)*ne,(he+de)*te,(ie+oe)*ne,(he+oe)*te,(ie+de)*ne)),ve.add(new go.PathSegment(go.PathSegment.Bezier,(he-de)*te,ie*ne,(he-oe)*te,(ie+de)*ne,(he-de)*te,(ie+oe)*ne)),ve.add(new go.PathSegment(go.PathSegment.Bezier,he*te,(ie-de)*ne,(he-de)*te,(ie-oe)*ne,(he-oe)*te,(ie-de)*ne)),ve.add(new go.PathSegment(go.PathSegment.Bezier,(he+de)*te,ie*ne,(he+oe)*te,(ie-de)*ne,(he+de)*te,(ie-oe)*ne)),le.spot1=new go.Spot(0,.25),le.spot2=new go.Spot(.4,.75),le}),go.Shape.defineFigureGenerator("NandGate",function(ce,te,ne){var le=new go.Geometry,oe=ge*.5,de=ge*.4,he=ge*.1,ie=.1,ue=.9,ve=.5,xe=new go.PathFigure(.8*te,.5*ne,!0);le.add(xe),xe.add(new 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go.PathSegment(go.PathSegment.Line,.9*te,.6*ne)),he.add(new go.PathSegment(go.PathSegment.Line,.6*te,.6*ne)),he.add(new go.PathSegment(go.PathSegment.Line,.6*te,ne).close());var ie=new go.PathFigure(0,.5*ne,!1);return le.add(ie),ie.add(new go.PathSegment(go.PathSegment.Line,te,.5*ne)),ie.add(new go.PathSegment(go.PathSegment.Move,.5*te,.5*ne)),ie.add(new go.PathSegment(go.PathSegment.Line,.5*te,.4*ne)),ie.add(new go.PathSegment(go.PathSegment.Move,.75*te,.5*ne)),ie.add(new go.PathSegment(go.PathSegment.Line,.75*te,.6*ne)),ie.add(new go.PathSegment(go.PathSegment.Move,.25*te,.5*ne)),ie.add(new go.PathSegment(go.PathSegment.Line,.25*te,.6*ne)),le}),go.Shape.defineFigureGenerator("Power",function(ce,te,ne){var le=new go.Geometry,oe=ge*.4,de=.4,he=.5,ie=.5,ue=Be(),ve=Be(),xe=Be(),De=Be();Ce(he,ie-de,he+oe,ie-de,he+de,ie-oe,he+de,ie,.5,ue,ue,ve,xe,De);var Re=Ie(ve.x,ve.y),Ne=new go.PathFigure(ve.x*te,ve.y*ne,!0);le.add(Ne),Ne.add(new go.PathSegment(go.PathSegment.Bezier,(he+de)*te,ie*ne,xe.x*te,xe.y*ne,De.x*te,De.y*ne)),Ne.add(new go.PathSegment(go.PathSegment.Bezier,he*te,(ie+de)*ne,(he+de)*te,(ie+oe)*ne,(he+oe)*te,(ie+de)*ne)),Ne.add(new go.PathSegment(go.PathSegment.Bezier,(he-de)*te,ie*ne,(he-oe)*te,(ie+de)*ne,(he-de)*te,(ie+oe)*ne)),Ce(he-de,ie,he-de,ie-oe,he-oe,ie-de,he,ie-de,.5,xe,De,ve,ue,ue),Ne.add(new go.PathSegment(go.PathSegment.Bezier,ve.x*te,ve.y*ne,xe.x*te,xe.y*ne,De.x*te,De.y*ne)),oe=ge*.3,de=.3,Ce(he-de,ie,he-de,ie-oe,he-oe,ie-de,he,ie-de,.5,xe,De,ve,ue,ue),Ne.add(new go.PathSegment(go.PathSegment.Line,ve.x*te,ve.y*ne)),Ne.add(new go.PathSegment(go.PathSegment.Bezier,(he-de)*te,ie*ne,De.x*te,De.y*ne,xe.x*te,xe.y*ne)),Ne.add(new go.PathSegment(go.PathSegment.Bezier,he*te,(ie+de)*ne,(he-de)*te,(ie+oe)*ne,(he-oe)*te,(ie+de)*ne)),Ne.add(new go.PathSegment(go.PathSegment.Bezier,(he+de)*te,ie*ne,(he+oe)*te,(ie+de)*ne,(he+de)*te,(ie+oe)*ne)),Ce(he,ie-de,he+oe,ie-de,he+de,ie-oe,he+de,ie,.5,ue,ue,ve,xe,De),Ne.add(new go.PathSegment(go.PathSegment.Bezier,ve.x*te,ve.y*ne,De.x*te,De.y*ne,xe.x*te,xe.y*ne).close());var Ne=new go.PathFigure(.45*te,0,!0);return le.add(Ne),Ne.add(new go.PathSegment(go.PathSegment.Line,.45*te,.5*ne)),Ne.add(new go.PathSegment(go.PathSegment.Line,.55*te,.5*ne)),Ne.add(new go.PathSegment(go.PathSegment.Line,.55*te,0).close()),He(ue),He(ve),He(xe),He(De),He(Re),le.spot1=new go.Spot(.25,.45),le.spot2=new go.Spot(.75,.8),le}),go.Shape.defineFigureGenerator("Fallout",function(ce,te,ne){var le=new go.Geometry,oe=new go.PathFigure(0,ne/2,!0);le.add(oe),oe.add(new go.PathSegment(go.PathSegment.Arc,180,360,te/2,ne/2,te/2,ne/2));function de(he,ie,ue){he.add(new go.PathSegment(go.PathSegment.Move,(.3+ie)*te,(.8+ue)*ne)),he.add(new go.PathSegment(go.PathSegment.Line,(.5+ie)*te,(.5+ue)*ne)),he.add(new 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go.PathSegment(go.PathSegment.Line,.4*te,.475*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,.15*te,.35*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,.2*te,.325*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,.6*te,.325*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,.85*te,.1*ne)),oe.add(new go.PathSegment(go.PathSegment.Bezier,.9*te,.2*ne,.975*te,0,te,.08*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,.7*te,.45*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,.6*te,.95*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,.55*te,ne).close()),le}),go.Shape.defineFigureGenerator("Key",function(ce,te,ne){var le=new go.Geometry,oe=new go.PathFigure(te*1,ne*.5,!0);return le.add(oe),oe.add(new go.PathSegment(go.PathSegment.Line,te*.9,.4*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.5,.4*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.5,.35*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.45,.35*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.3,.2*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.15,.2*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,0,.35*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,0,.65*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.15,.8*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.3,.8*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.45,.65*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.5,.65*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.5,.6*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.6,.6*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.65,.55*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.7,.6*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.75,.55*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.8,.6*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.85,.575*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.9,.6*ne).close()),oe.add(new go.PathSegment(go.PathSegment.Move,.17*te,.425*ne)),oe.add(new go.PathSegment(go.PathSegment.Arc,270,360,.17*te,.5*ne,.075*te,.075*ne).close()),le}),go.Shape.defineFigureGenerator("FilmTape",function(ce,te,ne){var le=new go.Geometry,oe=new go.PathFigure(0,0,!1);le.add(oe),oe.add(new go.PathSegment(go.PathSegment.Arc,270,180,te*0,te*.3,te*.055)),oe.add(new go.PathSegment(go.PathSegment.Line,0,ne*1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.08,ne*1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.08,ne*.95)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*1),ne*.95)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*1),ne*1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*2),ne*1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*2),ne*.95)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*3),ne*.95)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*3),ne*1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*4),ne*1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*4),ne*.95)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*5),ne*.95)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*5),ne*1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*6),ne*1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*6),ne*.95)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*7),ne*.95)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*7),ne*1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*8),ne*1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*8),ne*.95)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*9),ne*.95)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*9),ne*1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*10),ne*1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*10),ne*.95)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*11),ne*.95)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*11),ne*1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*12),ne*1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*12),ne*.95)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*13),ne*.95)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*13),ne*1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*14),ne*1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*14),ne*.95)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*15),ne*.95)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*15),ne*1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*1,ne*1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*1,ne*1));var de=new go.PathFigure(0,0,!1);le.add(de),de.add(new go.PathSegment(go.PathSegment.Line,te*1,ne*0)),de.add(new go.PathSegment(go.PathSegment.Arc,270,-180,te*1,te*.3,te*.055)),de.add(new go.PathSegment(go.PathSegment.Line,te*1,ne*1));var he=new go.PathFigure(te*.11,ne*.1,!1);le.add(he),he.add(new go.PathSegment(go.PathSegment.Line,te*(.11+.24133333*1+.028*0),ne*.1)),he.add(new go.PathSegment(go.PathSegment.Line,te*(.11+.24133333*1+.028*0),ne*.8)),he.add(new go.PathSegment(go.PathSegment.Line,te*.11,ne*.8).close());var ie=new go.PathFigure(te*(.11+.24133333*1+.028*1),ne*.1,!1);le.add(ie),ie.add(new go.PathSegment(go.PathSegment.Line,te*(.11+.24133333*2+.028*1),ne*.1)),ie.add(new go.PathSegment(go.PathSegment.Line,te*(.11+.24133333*2+.028*1),ne*.8)),ie.add(new go.PathSegment(go.PathSegment.Line,te*(.11+.24133333*1+.028*1),ne*.8).close());var ue=new go.PathFigure(te*(.11+.24133333*2+.028*2),ne*.1,!1);return le.add(ue),ue.add(new go.PathSegment(go.PathSegment.Line,te*(.11+.24133333*3+.028*2),ne*.1)),ue.add(new go.PathSegment(go.PathSegment.Line,te*(.11+.24133333*3+.028*2),ne*.8)),ue.add(new go.PathSegment(go.PathSegment.Line,te*(.11+.24133333*2+.028*2),ne*.8).close()),le}),go.Shape.defineFigureGenerator("FloppyDisk",function(ce,te,ne){var le=new go.Geometry,oe=8,de=oe*ge,he=new go.PathFigure(oe,0,!1);le.add(he),he.add(new go.PathSegment(go.PathSegment.Line,te*.86,0)),he.add(new go.PathSegment(go.PathSegment.Line,te*1,ne*.14)),he.add(new go.PathSegment(go.PathSegment.Line,te,ne-oe)),he.add(new go.PathSegment(go.PathSegment.Bezier,te-oe,ne,te,ne-de,te-de,ne)),he.add(new go.PathSegment(go.PathSegment.Line,oe,ne)),he.add(new go.PathSegment(go.PathSegment.Bezier,0,ne-oe,de,ne,0,ne-de)),he.add(new go.PathSegment(go.PathSegment.Line,0,oe)),he.add(new go.PathSegment(go.PathSegment.Bezier,oe,0,0,de,de,0).close());var ie=new go.PathFigure(te*.83,0,!1);le.add(ie),ie.add(new go.PathSegment(go.PathSegment.Line,te*.83,ne*.3)),ie.add(new go.PathSegment(go.PathSegment.Line,te*.17,ne*.3)),ie.add(new go.PathSegment(go.PathSegment.Line,te*.17,ne*0).close());var ue=new go.PathFigure(te*.83,ne*1,!1);le.add(ue),ue.add(new go.PathSegment(go.PathSegment.Line,te*.83,ne*.5)),ue.add(new go.PathSegment(go.PathSegment.Line,te*.17,ne*.5)),ue.add(new go.PathSegment(go.PathSegment.Line,te*.17,ne*1).close());var ve=new go.PathFigure(te*.78,ne*.05,!1);return le.add(ve),ve.add(new go.PathSegment(go.PathSegment.Line,te*.66,ne*.05)),ve.add(new go.PathSegment(go.PathSegment.Line,te*.66,ne*.25)),ve.add(new go.PathSegment(go.PathSegment.Line,te*.78,ne*.25).close()),le}),go.Shape.defineFigureGenerator("SpeechBubble",function(ce,te,ne){var le=ce?ce.parameter1:NaN;(isNaN(le)||le<0)&&(le=15),le=Math.min(le,te/3),le=Math.min(le,ne/3);var oe=le*ge,de=ne*.8,he=new go.Geometry,ie=new go.PathFigure(le,0,!0);return he.add(ie),ie.add(new go.PathSegment(go.PathSegment.Line,te-le,0)),ie.add(new go.PathSegment(go.PathSegment.Bezier,te,le,te-oe,0,te,oe)),ie.add(new go.PathSegment(go.PathSegment.Line,te,de-le)),ie.add(new go.PathSegment(go.PathSegment.Bezier,te-le,de,te,de-oe,te-oe,de)),ie.add(new go.PathSegment(go.PathSegment.Line,te*.7,de)),ie.add(new go.PathSegment(go.PathSegment.Line,te*.7,ne)),ie.add(new go.PathSegment(go.PathSegment.Line,te*.55,de)),ie.add(new go.PathSegment(go.PathSegment.Line,le,de)),ie.add(new go.PathSegment(go.PathSegment.Bezier,0,de-le,oe,de,0,de-oe)),ie.add(new go.PathSegment(go.PathSegment.Line,0,le)),ie.add(new go.PathSegment(go.PathSegment.Bezier,le,0,0,oe,oe,0).close()),oe>1?(he.spot1=new go.Spot(0,0,oe,oe),he.spot2=new go.Spot(1,.8,-oe,-oe)):(he.spot1=go.Spot.TopLeft,he.spot2=new go.Spot(1,.8)),he}),go.Shape.defineFigureGenerator("Repeat",function(ce,te,ne){var le=new go.Geometry,oe=new go.PathFigure(te*0,ne*.45,!0);le.add(oe),oe.add(new go.PathSegment(go.PathSegment.Line,te*.25,ne*0)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.5,ne*.45)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.3,ne*.45)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.3,ne*.9)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.6,ne*.9)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.65,ne*1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.2,ne*1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.2,ne*.45).close());var de=new go.PathFigure(te*1,ne*.55,!0);return le.add(de),de.add(new go.PathSegment(go.PathSegment.Line,te*.75,ne*1)),de.add(new go.PathSegment(go.PathSegment.Line,te*.5,ne*.55)),de.add(new go.PathSegment(go.PathSegment.Line,te*.7,ne*.55)),de.add(new go.PathSegment(go.PathSegment.Line,te*.7,ne*.1)),de.add(new go.PathSegment(go.PathSegment.Line,te*.4,ne*.1)),de.add(new go.PathSegment(go.PathSegment.Line,te*.35,ne*0)),de.add(new go.PathSegment(go.PathSegment.Line,te*.8,ne*0)),de.add(new go.PathSegment(go.PathSegment.Line,te*.8,ne*.55).close()),le}),go.Shape.defineFigureGenerator("Windows",function(ce,te,ne){return new go.Geometry().add(new go.PathFigure(0,0,!0).add(new go.PathSegment(go.PathSegment.Line,te,0)).add(new go.PathSegment(go.PathSegment.Line,te,ne)).add(new go.PathSegment(go.PathSegment.Line,0,ne).close()).add(new go.PathSegment(go.PathSegment.Move,.4*te,.4*ne)).add(new go.PathSegment(go.PathSegment.Line,.4*te,.8*ne)).add(new go.PathSegment(go.PathSegment.Line,.9*te,.8*ne)).add(new go.PathSegment(go.PathSegment.Line,.9*te,.4*ne).close()).add(new go.PathSegment(go.PathSegment.Move,.2*te,.1*ne)).add(new go.PathSegment(go.PathSegment.Line,.2*te,.6*ne)).add(new go.PathSegment(go.PathSegment.Line,.7*te,.6*ne)).add(new go.PathSegment(go.PathSegment.Line,.7*te,.1*ne).close()).add(new go.PathSegment(go.PathSegment.Move,.1*te,.6*ne)).add(new go.PathSegment(go.PathSegment.Line,.1*te,.9*ne)).add(new go.PathSegment(go.PathSegment.Line,.5*te,.9*ne)).add(new go.PathSegment(go.PathSegment.Line,.5*te,.6*ne).close()))}),go.Shape.defineFigureGenerator("Terminal",function(ce,te,ne){var le=new go.Geometry,oe=new go.PathFigure(te*0,ne*.1,!1);le.add(oe),oe.add(new go.PathSegment(go.PathSegment.Line,te*1,ne*.1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*1,ne*.9)),oe.add(new go.PathSegment(go.PathSegment.Line,te*0,ne*.9).close());var de=new go.PathFigure(te*.1,ne*.2,!0);le.add(de),de.add(new go.PathSegment(go.PathSegment.Line,te*.1,ne*.25)),de.add(new go.PathSegment(go.PathSegment.Line,te*.22,ne*.285)),de.add(new go.PathSegment(go.PathSegment.Line,te*.1,ne*.32)),de.add(new go.PathSegment(go.PathSegment.Line,te*.1,ne*.37)),de.add(new go.PathSegment(go.PathSegment.Line,te*.275,ne*.32)),de.add(new go.PathSegment(go.PathSegment.Line,te*.275,ne*.25).close());var he=new go.PathFigure(te*.28,ne*.37,!0);return le.add(he),he.add(new go.PathSegment(go.PathSegment.Line,te*.45,ne*.37)),he.add(new go.PathSegment(go.PathSegment.Line,te*.45,ne*.41)),he.add(new go.PathSegment(go.PathSegment.Line,te*.28,ne*.41).close()),le}),go.Shape.defineFigureGenerator("Beaker",function(ce,te,ne){var le=new go.Geometry,oe=15,de=oe*ge,he=new go.PathFigure(te*.62,ne*.475,!0);return le.add(he),he.add(new go.PathSegment(go.PathSegment.Line,te,ne-oe)),he.add(new go.PathSegment(go.PathSegment.Bezier,te-oe,ne,te,ne-de,te-de,ne)),he.add(new go.PathSegment(go.PathSegment.Line,oe,ne)),he.add(new go.PathSegment(go.PathSegment.Bezier,0,ne-oe,de,ne,0,ne-de)),he.add(new go.PathSegment(go.PathSegment.Line,te*.38,ne*.475)),he.add(new go.PathSegment(go.PathSegment.Line,te*.38,ne*.03)),he.add(new go.PathSegment(go.PathSegment.Line,te*.36,ne*0)),he.add(new go.PathSegment(go.PathSegment.Line,te*.64,ne*0)),he.add(new go.PathSegment(go.PathSegment.Line,te*.62,ne*.03).close()),de>1?(le.spot1=new go.Spot(0,0,de,de),le.spot2=new go.Spot(1,1,-de,-de)):(le.spot1=go.Spot.TopLeft,le.spot2=go.Spot.BottomRight),le}),go.Shape.defineFigureGenerator("Download",function(ce,te,ne){var le=new go.Geometry,oe=new go.PathFigure(te*0,ne*1,!0);le.add(oe);var de=.1/.3;oe.add(new go.PathSegment(go.PathSegment.Line,te*1,ne*1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*1,ne*(1-de))),oe.add(new go.PathSegment(go.PathSegment.Line,te*.8,ne*0)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.66,ne*0)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.66,ne*.055)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.755,ne*.055)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.93,ne*(1-de))),oe.add(new go.PathSegment(go.PathSegment.Line,te*.64,ne*(1-de))),oe.add(new go.PathSegment(go.PathSegment.Line,te*.61,ne*.75)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.5,ne*.75)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.39,ne*.75)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.36,ne*(1-de))),oe.add(new go.PathSegment(go.PathSegment.Line,te*.07,ne*(1-de))),oe.add(new go.PathSegment(go.PathSegment.Line,te*(1-.755),ne*.055)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(1-.66),ne*.055)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(1-.66),ne*0)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(1-.8),ne*0)),oe.add(new go.PathSegment(go.PathSegment.Line,te*0,ne*(1-de)).close());var he=new go.PathFigure(te*.4,ne*0,!0);return le.add(he),he.add(new go.PathSegment(go.PathSegment.Line,te*.4,ne*.44)),he.add(new go.PathSegment(go.PathSegment.Line,te*.26,ne*.44)),he.add(new go.PathSegment(go.PathSegment.Line,te*.5,ne*.66)),he.add(new go.PathSegment(go.PathSegment.Line,te*(1-.26),ne*.44)),he.add(new go.PathSegment(go.PathSegment.Line,te*.6,ne*.44)),he.add(new go.PathSegment(go.PathSegment.Line,te*.6,ne*0).close()),le}),go.Shape.defineFigureGenerator("Bin",function(ce,te,ne){var le=new go.Geometry,oe=new go.PathFigure(te*0,ne*1,!0);le.add(oe);var de=.1/.3;return oe.add(new go.PathSegment(go.PathSegment.Line,te*1,ne*1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*1,ne*(1-de))),oe.add(new go.PathSegment(go.PathSegment.Line,te*.8,ne*0)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.66,ne*0)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.66,ne*.055)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.755,ne*.055)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.93,ne*(1-de))),oe.add(new go.PathSegment(go.PathSegment.Line,te*.64,ne*(1-de))),oe.add(new go.PathSegment(go.PathSegment.Line,te*.61,ne*.75)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.5,ne*.75)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.39,ne*.75)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.36,ne*(1-de))),oe.add(new go.PathSegment(go.PathSegment.Line,te*.07,ne*(1-de))),oe.add(new go.PathSegment(go.PathSegment.Line,te*(1-.755),ne*.055)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(1-.66),ne*.055)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(1-.66),ne*0)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(1-.8),ne*0)),oe.add(new go.PathSegment(go.PathSegment.Line,te*0,ne*(1-de)).close()),le}),go.Shape.defineFigureGenerator("Upload",function(ce,te,ne){var le=new go.Geometry,oe=new go.PathFigure(te*0,ne*1,!0);le.add(oe);var de=.1/.3;oe.add(new go.PathSegment(go.PathSegment.Line,te*1,ne*1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*1,ne*(1-de))),oe.add(new go.PathSegment(go.PathSegment.Line,te*.8,ne*0)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.66,ne*0)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.66,ne*.055)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.755,ne*.055)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.93,ne*(1-de))),oe.add(new go.PathSegment(go.PathSegment.Line,te*.64,ne*(1-de))),oe.add(new go.PathSegment(go.PathSegment.Line,te*.61,ne*.75)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.5,ne*.75)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.39,ne*.75)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.36,ne*(1-de))),oe.add(new go.PathSegment(go.PathSegment.Line,te*.07,ne*(1-de))),oe.add(new go.PathSegment(go.PathSegment.Line,te*(1-.755),ne*.055)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(1-.66),ne*.055)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(1-.66),ne*0)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(1-.8),ne*0)),oe.add(new go.PathSegment(go.PathSegment.Line,te*0,ne*(1-de)).close());var he=new go.PathFigure(te*.5,ne*0,!0);return le.add(he),he.add(new go.PathSegment(go.PathSegment.Line,te*.26,ne*.25)),he.add(new go.PathSegment(go.PathSegment.Line,te*.4,ne*.25)),he.add(new go.PathSegment(go.PathSegment.Line,te*.4,ne*.63)),he.add(new go.PathSegment(go.PathSegment.Line,te*.6,ne*.63)),he.add(new go.PathSegment(go.PathSegment.Line,te*.6,ne*.25)),he.add(new go.PathSegment(go.PathSegment.Line,te*.74,ne*.25).close()),le}),go.Shape.defineFigureGenerator("EmptyDrink",function(ce,te,ne){var le=new go.Geometry,oe=new go.PathFigure(te*.15,ne*0,!1);return le.add(oe),oe.add(new 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go.PathSegment(go.PathSegment.Line,le*te,ne)),de.add(new go.PathSegment(go.PathSegment.Line,0,ne)),de.add(new go.PathSegment(go.PathSegment.Line,0,0)),de.add(new go.PathSegment(go.PathSegment.Line,le*te,0).close()),oe.spot1=go.Spot.TopLeft,oe.spot2=new go.Spot(le,1),oe}),go.Shape.defineFigureGenerator("Cone1",function(ce,te,ne){var le=new go.Geometry,oe=ge*.5,de=ge*.1,he=new go.PathFigure(0,.9*ne,!0);return le.add(he),he.add(new go.PathSegment(go.PathSegment.Line,.5*te,0)),he.add(new go.PathSegment(go.PathSegment.Line,te,.9*ne)),he.add(new go.PathSegment(go.PathSegment.Bezier,.5*te,ne,te,(.9+de)*ne,(.5+oe)*te,ne)),he.add(new go.PathSegment(go.PathSegment.Bezier,0,.9*ne,(.5-oe)*te,ne,0,(.9+de)*ne).close()),le.spot1=new go.Spot(.25,.5),le.spot2=new go.Spot(.75,.97),le}),go.Shape.defineFigureGenerator("Cone2",function(ce,te,ne){var le=new go.Geometry,oe=new go.PathFigure(0,.9*ne,!0);le.add(oe),oe.add(new 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go.PathSegment(go.PathSegment.Line,0,.15*ne)),de.add(new go.PathSegment(go.PathSegment.Move,.5*te,.3*ne)),de.add(new go.PathSegment(go.PathSegment.Line,te,.15*ne)),le.spot1=new go.Spot(0,.3),le.spot2=new go.Spot(.5,.85),le}),go.Shape.defineFigureGenerator("Cube2",function(ce,te,ne){var le=new go.Geometry,oe=new go.PathFigure(0,.3*ne,!0);le.add(oe),oe.add(new go.PathSegment(go.PathSegment.Line,0,ne)),oe.add(new go.PathSegment(go.PathSegment.Line,.7*te,ne)),oe.add(new go.PathSegment(go.PathSegment.Line,te,.7*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,te,0)),oe.add(new go.PathSegment(go.PathSegment.Line,.3*te,0).close());var de=new go.PathFigure(0,.3*ne,!1);return le.add(de),de.add(new go.PathSegment(go.PathSegment.Line,.7*te,.3*ne)),de.add(new go.PathSegment(go.PathSegment.Line,te,0)),de.add(new go.PathSegment(go.PathSegment.Move,.7*te,.3*ne)),de.add(new go.PathSegment(go.PathSegment.Line,.7*te,ne)),le.spot1=new go.Spot(0,.3),le.spot2=new 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go.Spot(1,1,0,-2*le),oe}),go.Shape.defineFigureGenerator("Cylinder3",function(ce,te,ne){var le=ce?ce.parameter1:NaN;isNaN(le)&&(le=5),le=Math.min(le,te/3);var oe=new go.Geometry,de=ge*.5,he=new go.PathFigure(le,0,!0);oe.add(he),he.add(new go.PathSegment(go.PathSegment.Line,te-le,0)),he.add(new go.PathSegment(go.PathSegment.Bezier,te,.5*ne,te-ge*le,0,te,(.5-de)*ne)),he.add(new go.PathSegment(go.PathSegment.Bezier,te-le,ne,te,(.5+de)*ne,te-ge*le,ne)),he.add(new go.PathSegment(go.PathSegment.Line,le,ne)),he.add(new go.PathSegment(go.PathSegment.Bezier,0,.5*ne,ge*le,ne,0,(.5+de)*ne)),he.add(new go.PathSegment(go.PathSegment.Bezier,le,0,0,(.5-de)*ne,ge*le,0));var ie=new go.PathFigure(le,0,!1);return oe.add(ie),ie.add(new go.PathSegment(go.PathSegment.Bezier,2*le,.5*ne,le+ge*le,0,2*le,(.5-de)*ne)),ie.add(new go.PathSegment(go.PathSegment.Bezier,le,ne,2*le,(.5+de)*ne,le+ge*le,ne)),oe.spot1=new go.Spot(0,0,2*le,0),oe.spot2=new 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go.PathSegment(go.PathSegment.Line,te,de*ne)),le}),go.Shape.defineFigureGenerator("Junction",function(ce,te,ne){var le=new go.Geometry,oe=1/Math.SQRT2,de=(1-1/Math.SQRT2)/2,he=ge*.5,ie=.5,ue=new go.PathFigure(te,ie*ne,!0);le.add(ue),ue.add(new go.PathSegment(go.PathSegment.Bezier,ie*te,ne,te,(ie+he)*ne,(ie+he)*te,ne)),ue.add(new go.PathSegment(go.PathSegment.Bezier,0,ie*ne,(ie-he)*te,ne,0,(ie+he)*ne)),ue.add(new go.PathSegment(go.PathSegment.Bezier,ie*te,0,0,(ie-he)*ne,(ie-he)*te,0)),ue.add(new go.PathSegment(go.PathSegment.Bezier,te,ie*ne,(ie+he)*te,0,te,(ie-he)*ne));var ve=new go.PathFigure((de+oe)*te,(de+oe)*ne,!1);return le.add(ve),ve.add(new go.PathSegment(go.PathSegment.Line,de*te,de*ne)),ve.add(new go.PathSegment(go.PathSegment.Move,de*te,(de+oe)*ne)),ve.add(new go.PathSegment(go.PathSegment.Line,(de+oe)*te,de*ne)),le}),go.Shape.defineFigureGenerator("LinedDocument",function(ce,te,ne){var le=new go.Geometry;ne=ne/.8;var oe=new go.PathFigure(0,.7*ne,!0);le.add(oe),oe.add(new go.PathSegment(go.PathSegment.Line,0,0)),oe.add(new go.PathSegment(go.PathSegment.Line,te,0)),oe.add(new go.PathSegment(go.PathSegment.Line,te,.7*ne)),oe.add(new go.PathSegment(go.PathSegment.Bezier,0,.7*ne,.5*te,.4*ne,.5*te,ne).close());var de=new go.PathFigure(.1*te,0,!1);return le.add(de),de.add(new go.PathSegment(go.PathSegment.Line,.1*te,.75*ne)),le.spot1=new go.Spot(.1,0),le.spot2=new go.Spot(1,.6),le}),go.Shape.defineFigureGenerator("LoopLimit",function(ce,te,ne){var le=new go.Geometry,oe=new go.PathFigure(0,ne,!0);return le.add(oe),oe.add(new go.PathSegment(go.PathSegment.Line,0,.25*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,.25*te,0)),oe.add(new go.PathSegment(go.PathSegment.Line,.75*te,0)),oe.add(new go.PathSegment(go.PathSegment.Line,te,.25*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,te,ne).close()),le.spot1=new go.Spot(0,.25),le.spot2=go.Spot.BottomRight,le}),go.Shape.defineFigureGenerator("MagneticTape",function(ce,te,ne){var le=new 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go.PathFigure(0,0,!0);return le.add(de),de.add(new go.PathSegment(go.PathSegment.Line,te,0)),de.add(new go.PathSegment(go.PathSegment.Line,te,ne)),de.add(new go.PathSegment(go.PathSegment.Line,.75*te,(1-oe)*ne)),de.add(new go.PathSegment(go.PathSegment.Line,0,(1-oe)*ne).close()),le.spot1=go.Spot.TopLeft,le}),go.Shape.defineFigureGenerator("AndGate",function(ce,te,ne){var le=new go.Geometry,oe=ge*.5,de=new go.PathFigure(0,0,!0);return le.add(de),de.add(new go.PathSegment(go.PathSegment.Line,.5*te,0)),de.add(new go.PathSegment(go.PathSegment.Bezier,te,.5*ne,(.5+oe)*te,0,te,(.5-oe)*ne)),de.add(new go.PathSegment(go.PathSegment.Bezier,.5*te,ne,te,(.5+oe)*ne,(.5+oe)*te,ne)),de.add(new go.PathSegment(go.PathSegment.Line,0,ne).close()),le.spot1=go.Spot.TopLeft,le.spot2=new go.Spot(.55,1),le}),go.Shape.defineFigureGenerator("Buffer",function(ce,te,ne){var le=new go.Geometry,oe=new go.PathFigure(0,0,!0);return le.add(oe),oe.add(new go.PathSegment(go.PathSegment.Line,te,.5*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,0,ne).close()),le.spot1=new go.Spot(0,.25),le.spot2=new go.Spot(.5,.75),le}),go.Shape.defineFigureGenerator("Clock",function(ce,te,ne){var le=new go.Geometry,oe=ge*.5,de=.5,he=new go.PathFigure(te,de*ne,!0);le.add(he),he.add(new go.PathSegment(go.PathSegment.Bezier,de*te,ne,te,(de+oe)*ne,(de+oe)*te,ne)),he.add(new go.PathSegment(go.PathSegment.Bezier,0,de*ne,(de-oe)*te,ne,0,(de+oe)*ne)),he.add(new go.PathSegment(go.PathSegment.Bezier,de*te,0,0,(de-oe)*ne,(de-oe)*te,0)),he.add(new go.PathSegment(go.PathSegment.Bezier,te,de*ne,(de+oe)*te,0,te,(de-oe)*ne));var ie=new go.PathFigure(te,de*ne,!1);le.add(ie),ie.add(new go.PathSegment(go.PathSegment.Line,te,de*ne));var ue=new go.PathFigure(.8*te,.75*ne,!1);return le.add(ue),ue.add(new go.PathSegment(go.PathSegment.Line,.8*te,.25*ne)),ue.add(new go.PathSegment(go.PathSegment.Line,.6*te,.25*ne)),ue.add(new go.PathSegment(go.PathSegment.Line,.6*te,.75*ne)),ue.add(new go.PathSegment(go.PathSegment.Line,.4*te,.75*ne)),ue.add(new go.PathSegment(go.PathSegment.Line,.4*te,.25*ne)),ue.add(new go.PathSegment(go.PathSegment.Line,.2*te,.25*ne)),ue.add(new go.PathSegment(go.PathSegment.Line,.2*te,.75*ne)),le}),go.Shape.defineFigureGenerator("Ground",function(ce,te,ne){var le=new go.Geometry,oe=new go.PathFigure(.5*te,0,!1);return le.add(oe),oe.add(new go.PathSegment(go.PathSegment.Line,.5*te,.4*ne)),oe.add(new go.PathSegment(go.PathSegment.Move,.2*te,.6*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,.8*te,.6*ne)),oe.add(new go.PathSegment(go.PathSegment.Move,.3*te,.8*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,.7*te,.8*ne)),oe.add(new go.PathSegment(go.PathSegment.Move,.4*te,ne)),oe.add(new go.PathSegment(go.PathSegment.Line,.6*te,ne)),le}),go.Shape.defineFigureGenerator("Inverter",function(ce,te,ne){var le=new go.Geometry,oe=ge*.1,de=.1,he=.9,ie=.5,ue=new go.PathFigure(.8*te,.5*ne,!0);le.add(ue),ue.add(new go.PathSegment(go.PathSegment.Line,0,ne)),ue.add(new go.PathSegment(go.PathSegment.Line,0,0)),ue.add(new go.PathSegment(go.PathSegment.Line,.8*te,.5*ne));var ve=new go.PathFigure((he+de)*te,ie*ne,!0);return le.add(ve),ve.add(new go.PathSegment(go.PathSegment.Bezier,he*te,(ie+de)*ne,(he+de)*te,(ie+oe)*ne,(he+oe)*te,(ie+de)*ne)),ve.add(new go.PathSegment(go.PathSegment.Bezier,(he-de)*te,ie*ne,(he-oe)*te,(ie+de)*ne,(he-de)*te,(ie+oe)*ne)),ve.add(new go.PathSegment(go.PathSegment.Bezier,he*te,(ie-de)*ne,(he-de)*te,(ie-oe)*ne,(he-oe)*te,(ie-de)*ne)),ve.add(new go.PathSegment(go.PathSegment.Bezier,(he+de)*te,ie*ne,(he+oe)*te,(ie-de)*ne,(he+de)*te,(ie-oe)*ne)),le.spot1=new go.Spot(0,.25),le.spot2=new go.Spot(.4,.75),le}),go.Shape.defineFigureGenerator("NandGate",function(ce,te,ne){var le=new go.Geometry,oe=ge*.5,de=ge*.4,he=ge*.1,ie=.1,ue=.9,ve=.5,xe=new go.PathFigure(.8*te,.5*ne,!0);le.add(xe),xe.add(new 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go.PathSegment(go.PathSegment.Bezier,(he+de)*te,ie*ne,xe.x*te,xe.y*ne,De.x*te,De.y*ne)),Ne.add(new go.PathSegment(go.PathSegment.Bezier,he*te,(ie+de)*ne,(he+de)*te,(ie+oe)*ne,(he+oe)*te,(ie+de)*ne)),Ne.add(new go.PathSegment(go.PathSegment.Bezier,(he-de)*te,ie*ne,(he-oe)*te,(ie+de)*ne,(he-de)*te,(ie+oe)*ne)),Ce(he-de,ie,he-de,ie-oe,he-oe,ie-de,he,ie-de,.5,xe,De,ve,ue,ue),Ne.add(new go.PathSegment(go.PathSegment.Bezier,ve.x*te,ve.y*ne,xe.x*te,xe.y*ne,De.x*te,De.y*ne)),oe=ge*.3,de=.3,Ce(he-de,ie,he-de,ie-oe,he-oe,ie-de,he,ie-de,.5,xe,De,ve,ue,ue),Ne.add(new go.PathSegment(go.PathSegment.Line,ve.x*te,ve.y*ne)),Ne.add(new go.PathSegment(go.PathSegment.Bezier,(he-de)*te,ie*ne,De.x*te,De.y*ne,xe.x*te,xe.y*ne)),Ne.add(new go.PathSegment(go.PathSegment.Bezier,he*te,(ie+de)*ne,(he-de)*te,(ie+oe)*ne,(he-oe)*te,(ie+de)*ne)),Ne.add(new go.PathSegment(go.PathSegment.Bezier,(he+de)*te,ie*ne,(he+oe)*te,(ie+de)*ne,(he+de)*te,(ie+oe)*ne)),Ce(he,ie-de,he+oe,ie-de,he+de,ie-oe,he+de,ie,.5,ue,ue,ve,xe,De),Ne.add(new go.PathSegment(go.PathSegment.Bezier,ve.x*te,ve.y*ne,De.x*te,De.y*ne,xe.x*te,xe.y*ne).close());var Ne=new go.PathFigure(.45*te,0,!0);return le.add(Ne),Ne.add(new go.PathSegment(go.PathSegment.Line,.45*te,.5*ne)),Ne.add(new go.PathSegment(go.PathSegment.Line,.55*te,.5*ne)),Ne.add(new go.PathSegment(go.PathSegment.Line,.55*te,0).close()),He(ue),He(ve),He(xe),He(De),He(Re),le.spot1=new go.Spot(.25,.45),le.spot2=new go.Spot(.75,.8),le}),go.Shape.defineFigureGenerator("Fallout",function(ce,te,ne){var le=new go.Geometry,oe=new go.PathFigure(0,ne/2,!0);le.add(oe),oe.add(new go.PathSegment(go.PathSegment.Arc,180,360,te/2,ne/2,te/2,ne/2));function de(he,ie,ue){he.add(new go.PathSegment(go.PathSegment.Move,(.3+ie)*te,(.8+ue)*ne)),he.add(new go.PathSegment(go.PathSegment.Line,(.5+ie)*te,(.5+ue)*ne)),he.add(new 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go.PathSegment(go.PathSegment.Line,.4*te,.475*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,.15*te,.35*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,.2*te,.325*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,.6*te,.325*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,.85*te,.1*ne)),oe.add(new go.PathSegment(go.PathSegment.Bezier,.9*te,.2*ne,.975*te,0,te,.08*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,.7*te,.45*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,.6*te,.95*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,.55*te,ne).close()),le}),go.Shape.defineFigureGenerator("Key",function(ce,te,ne){var le=new go.Geometry,oe=new go.PathFigure(te*1,ne*.5,!0);return le.add(oe),oe.add(new go.PathSegment(go.PathSegment.Line,te*.9,.4*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.5,.4*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.5,.35*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.45,.35*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.3,.2*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.15,.2*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,0,.35*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,0,.65*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.15,.8*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.3,.8*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.45,.65*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.5,.65*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.5,.6*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.6,.6*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.65,.55*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.7,.6*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.75,.55*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.8,.6*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.85,.575*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.9,.6*ne).close()),oe.add(new go.PathSegment(go.PathSegment.Move,.17*te,.425*ne)),oe.add(new go.PathSegment(go.PathSegment.Arc,270,360,.17*te,.5*ne,.075*te,.075*ne).close()),le}),go.Shape.defineFigureGenerator("FilmTape",function(ce,te,ne){var le=new go.Geometry,oe=new go.PathFigure(0,0,!1);le.add(oe),oe.add(new go.PathSegment(go.PathSegment.Arc,270,180,te*0,te*.3,te*.055)),oe.add(new go.PathSegment(go.PathSegment.Line,0,ne*1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.08,ne*1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.08,ne*.95)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*1),ne*.95)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*1),ne*1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*2),ne*1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*2),ne*.95)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*3),ne*.95)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*3),ne*1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*4),ne*1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*4),ne*.95)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*5),ne*.95)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*5),ne*1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*6),ne*1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*6),ne*.95)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*7),ne*.95)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*7),ne*1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*8),ne*1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*8),ne*.95)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*9),ne*.95)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*9),ne*1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*10),ne*1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*10),ne*.95)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*11),ne*.95)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*11),ne*1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*12),ne*1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*12),ne*.95)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*13),ne*.95)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*13),ne*1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*14),ne*1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*14),ne*.95)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*15),ne*.95)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*15),ne*1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*1,ne*1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*1,ne*1));var de=new go.PathFigure(0,0,!1);le.add(de),de.add(new go.PathSegment(go.PathSegment.Line,te*1,ne*0)),de.add(new go.PathSegment(go.PathSegment.Arc,270,-180,te*1,te*.3,te*.055)),de.add(new go.PathSegment(go.PathSegment.Line,te*1,ne*1));var he=new go.PathFigure(te*.11,ne*.1,!1);le.add(he),he.add(new go.PathSegment(go.PathSegment.Line,te*(.11+.24133333*1+.028*0),ne*.1)),he.add(new go.PathSegment(go.PathSegment.Line,te*(.11+.24133333*1+.028*0),ne*.8)),he.add(new go.PathSegment(go.PathSegment.Line,te*.11,ne*.8).close());var ie=new go.PathFigure(te*(.11+.24133333*1+.028*1),ne*.1,!1);le.add(ie),ie.add(new go.PathSegment(go.PathSegment.Line,te*(.11+.24133333*2+.028*1),ne*.1)),ie.add(new go.PathSegment(go.PathSegment.Line,te*(.11+.24133333*2+.028*1),ne*.8)),ie.add(new go.PathSegment(go.PathSegment.Line,te*(.11+.24133333*1+.028*1),ne*.8).close());var ue=new go.PathFigure(te*(.11+.24133333*2+.028*2),ne*.1,!1);return le.add(ue),ue.add(new go.PathSegment(go.PathSegment.Line,te*(.11+.24133333*3+.028*2),ne*.1)),ue.add(new go.PathSegment(go.PathSegment.Line,te*(.11+.24133333*3+.028*2),ne*.8)),ue.add(new go.PathSegment(go.PathSegment.Line,te*(.11+.24133333*2+.028*2),ne*.8).close()),le}),go.Shape.defineFigureGenerator("FloppyDisk",function(ce,te,ne){var le=new go.Geometry,oe=8,de=oe*ge,he=new go.PathFigure(oe,0,!1);le.add(he),he.add(new go.PathSegment(go.PathSegment.Line,te*.86,0)),he.add(new go.PathSegment(go.PathSegment.Line,te*1,ne*.14)),he.add(new go.PathSegment(go.PathSegment.Line,te,ne-oe)),he.add(new go.PathSegment(go.PathSegment.Bezier,te-oe,ne,te,ne-de,te-de,ne)),he.add(new go.PathSegment(go.PathSegment.Line,oe,ne)),he.add(new go.PathSegment(go.PathSegment.Bezier,0,ne-oe,de,ne,0,ne-de)),he.add(new go.PathSegment(go.PathSegment.Line,0,oe)),he.add(new go.PathSegment(go.PathSegment.Bezier,oe,0,0,de,de,0).close());var ie=new go.PathFigure(te*.83,0,!1);le.add(ie),ie.add(new go.PathSegment(go.PathSegment.Line,te*.83,ne*.3)),ie.add(new go.PathSegment(go.PathSegment.Line,te*.17,ne*.3)),ie.add(new go.PathSegment(go.PathSegment.Line,te*.17,ne*0).close());var ue=new go.PathFigure(te*.83,ne*1,!1);le.add(ue),ue.add(new go.PathSegment(go.PathSegment.Line,te*.83,ne*.5)),ue.add(new go.PathSegment(go.PathSegment.Line,te*.17,ne*.5)),ue.add(new go.PathSegment(go.PathSegment.Line,te*.17,ne*1).close());var ve=new go.PathFigure(te*.78,ne*.05,!1);return le.add(ve),ve.add(new go.PathSegment(go.PathSegment.Line,te*.66,ne*.05)),ve.add(new go.PathSegment(go.PathSegment.Line,te*.66,ne*.25)),ve.add(new go.PathSegment(go.PathSegment.Line,te*.78,ne*.25).close()),le}),go.Shape.defineFigureGenerator("SpeechBubble",function(ce,te,ne){var le=ce?ce.parameter1:NaN;(isNaN(le)||le<0)&&(le=15),le=Math.min(le,te/3),le=Math.min(le,ne/3);var oe=le*ge,de=ne*.8,he=new go.Geometry,ie=new go.PathFigure(le,0,!0);return he.add(ie),ie.add(new go.PathSegment(go.PathSegment.Line,te-le,0)),ie.add(new go.PathSegment(go.PathSegment.Bezier,te,le,te-oe,0,te,oe)),ie.add(new go.PathSegment(go.PathSegment.Line,te,de-le)),ie.add(new go.PathSegment(go.PathSegment.Bezier,te-le,de,te,de-oe,te-oe,de)),ie.add(new go.PathSegment(go.PathSegment.Line,te*.7,de)),ie.add(new go.PathSegment(go.PathSegment.Line,te*.7,ne)),ie.add(new go.PathSegment(go.PathSegment.Line,te*.55,de)),ie.add(new go.PathSegment(go.PathSegment.Line,le,de)),ie.add(new go.PathSegment(go.PathSegment.Bezier,0,de-le,oe,de,0,de-oe)),ie.add(new go.PathSegment(go.PathSegment.Line,0,le)),ie.add(new go.PathSegment(go.PathSegment.Bezier,le,0,0,oe,oe,0).close()),oe>1?(he.spot1=new go.Spot(0,0,oe,oe),he.spot2=new go.Spot(1,.8,-oe,-oe)):(he.spot1=go.Spot.TopLeft,he.spot2=new go.Spot(1,.8)),he}),go.Shape.defineFigureGenerator("Repeat",function(ce,te,ne){var le=new go.Geometry,oe=new go.PathFigure(te*0,ne*.45,!0);le.add(oe),oe.add(new go.PathSegment(go.PathSegment.Line,te*.25,ne*0)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.5,ne*.45)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.3,ne*.45)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.3,ne*.9)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.6,ne*.9)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.65,ne*1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.2,ne*1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.2,ne*.45).close());var de=new go.PathFigure(te*1,ne*.55,!0);return le.add(de),de.add(new go.PathSegment(go.PathSegment.Line,te*.75,ne*1)),de.add(new go.PathSegment(go.PathSegment.Line,te*.5,ne*.55)),de.add(new go.PathSegment(go.PathSegment.Line,te*.7,ne*.55)),de.add(new go.PathSegment(go.PathSegment.Line,te*.7,ne*.1)),de.add(new go.PathSegment(go.PathSegment.Line,te*.4,ne*.1)),de.add(new go.PathSegment(go.PathSegment.Line,te*.35,ne*0)),de.add(new go.PathSegment(go.PathSegment.Line,te*.8,ne*0)),de.add(new go.PathSegment(go.PathSegment.Line,te*.8,ne*.55).close()),le}),go.Shape.defineFigureGenerator("Windows",function(ce,te,ne){return new go.Geometry().add(new go.PathFigure(0,0,!0).add(new go.PathSegment(go.PathSegment.Line,te,0)).add(new go.PathSegment(go.PathSegment.Line,te,ne)).add(new go.PathSegment(go.PathSegment.Line,0,ne).close()).add(new go.PathSegment(go.PathSegment.Move,.4*te,.4*ne)).add(new go.PathSegment(go.PathSegment.Line,.4*te,.8*ne)).add(new go.PathSegment(go.PathSegment.Line,.9*te,.8*ne)).add(new go.PathSegment(go.PathSegment.Line,.9*te,.4*ne).close()).add(new go.PathSegment(go.PathSegment.Move,.2*te,.1*ne)).add(new go.PathSegment(go.PathSegment.Line,.2*te,.6*ne)).add(new go.PathSegment(go.PathSegment.Line,.7*te,.6*ne)).add(new go.PathSegment(go.PathSegment.Line,.7*te,.1*ne).close()).add(new go.PathSegment(go.PathSegment.Move,.1*te,.6*ne)).add(new go.PathSegment(go.PathSegment.Line,.1*te,.9*ne)).add(new go.PathSegment(go.PathSegment.Line,.5*te,.9*ne)).add(new go.PathSegment(go.PathSegment.Line,.5*te,.6*ne).close()))}),go.Shape.defineFigureGenerator("Terminal",function(ce,te,ne){var le=new go.Geometry,oe=new go.PathFigure(te*0,ne*.1,!1);le.add(oe),oe.add(new go.PathSegment(go.PathSegment.Line,te*1,ne*.1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*1,ne*.9)),oe.add(new go.PathSegment(go.PathSegment.Line,te*0,ne*.9).close());var de=new go.PathFigure(te*.1,ne*.2,!0);le.add(de),de.add(new go.PathSegment(go.PathSegment.Line,te*.1,ne*.25)),de.add(new go.PathSegment(go.PathSegment.Line,te*.22,ne*.285)),de.add(new go.PathSegment(go.PathSegment.Line,te*.1,ne*.32)),de.add(new go.PathSegment(go.PathSegment.Line,te*.1,ne*.37)),de.add(new go.PathSegment(go.PathSegment.Line,te*.275,ne*.32)),de.add(new go.PathSegment(go.PathSegment.Line,te*.275,ne*.25).close());var he=new go.PathFigure(te*.28,ne*.37,!0);return le.add(he),he.add(new go.PathSegment(go.PathSegment.Line,te*.45,ne*.37)),he.add(new go.PathSegment(go.PathSegment.Line,te*.45,ne*.41)),he.add(new go.PathSegment(go.PathSegment.Line,te*.28,ne*.41).close()),le}),go.Shape.defineFigureGenerator("Beaker",function(ce,te,ne){var le=new go.Geometry,oe=15,de=oe*ge,he=new go.PathFigure(te*.62,ne*.475,!0);return le.add(he),he.add(new go.PathSegment(go.PathSegment.Line,te,ne-oe)),he.add(new go.PathSegment(go.PathSegment.Bezier,te-oe,ne,te,ne-de,te-de,ne)),he.add(new go.PathSegment(go.PathSegment.Line,oe,ne)),he.add(new go.PathSegment(go.PathSegment.Bezier,0,ne-oe,de,ne,0,ne-de)),he.add(new go.PathSegment(go.PathSegment.Line,te*.38,ne*.475)),he.add(new go.PathSegment(go.PathSegment.Line,te*.38,ne*.03)),he.add(new go.PathSegment(go.PathSegment.Line,te*.36,ne*0)),he.add(new go.PathSegment(go.PathSegment.Line,te*.64,ne*0)),he.add(new go.PathSegment(go.PathSegment.Line,te*.62,ne*.03).close()),de>1?(le.spot1=new go.Spot(0,0,de,de),le.spot2=new go.Spot(1,1,-de,-de)):(le.spot1=go.Spot.TopLeft,le.spot2=go.Spot.BottomRight),le}),go.Shape.defineFigureGenerator("Download",function(ce,te,ne){var le=new go.Geometry,oe=new go.PathFigure(te*0,ne*1,!0);le.add(oe);var de=.1/.3;oe.add(new go.PathSegment(go.PathSegment.Line,te*1,ne*1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*1,ne*(1-de))),oe.add(new go.PathSegment(go.PathSegment.Line,te*.8,ne*0)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.66,ne*0)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.66,ne*.055)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.755,ne*.055)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.93,ne*(1-de))),oe.add(new go.PathSegment(go.PathSegment.Line,te*.64,ne*(1-de))),oe.add(new go.PathSegment(go.PathSegment.Line,te*.61,ne*.75)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.5,ne*.75)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.39,ne*.75)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.36,ne*(1-de))),oe.add(new go.PathSegment(go.PathSegment.Line,te*.07,ne*(1-de))),oe.add(new go.PathSegment(go.PathSegment.Line,te*(1-.755),ne*.055)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(1-.66),ne*.055)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(1-.66),ne*0)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(1-.8),ne*0)),oe.add(new go.PathSegment(go.PathSegment.Line,te*0,ne*(1-de)).close());var he=new go.PathFigure(te*.4,ne*0,!0);return le.add(he),he.add(new go.PathSegment(go.PathSegment.Line,te*.4,ne*.44)),he.add(new go.PathSegment(go.PathSegment.Line,te*.26,ne*.44)),he.add(new go.PathSegment(go.PathSegment.Line,te*.5,ne*.66)),he.add(new go.PathSegment(go.PathSegment.Line,te*(1-.26),ne*.44)),he.add(new go.PathSegment(go.PathSegment.Line,te*.6,ne*.44)),he.add(new go.PathSegment(go.PathSegment.Line,te*.6,ne*0).close()),le}),go.Shape.defineFigureGenerator("Bin",function(ce,te,ne){var le=new go.Geometry,oe=new go.PathFigure(te*0,ne*1,!0);le.add(oe);var de=.1/.3;return oe.add(new go.PathSegment(go.PathSegment.Line,te*1,ne*1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*1,ne*(1-de))),oe.add(new go.PathSegment(go.PathSegment.Line,te*.8,ne*0)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.66,ne*0)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.66,ne*.055)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.755,ne*.055)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.93,ne*(1-de))),oe.add(new go.PathSegment(go.PathSegment.Line,te*.64,ne*(1-de))),oe.add(new go.PathSegment(go.PathSegment.Line,te*.61,ne*.75)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.5,ne*.75)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.39,ne*.75)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.36,ne*(1-de))),oe.add(new go.PathSegment(go.PathSegment.Line,te*.07,ne*(1-de))),oe.add(new go.PathSegment(go.PathSegment.Line,te*(1-.755),ne*.055)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(1-.66),ne*.055)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(1-.66),ne*0)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(1-.8),ne*0)),oe.add(new go.PathSegment(go.PathSegment.Line,te*0,ne*(1-de)).close()),le}),go.Shape.defineFigureGenerator("Upload",function(ce,te,ne){var le=new go.Geometry,oe=new go.PathFigure(te*0,ne*1,!0);le.add(oe);var de=.1/.3;oe.add(new go.PathSegment(go.PathSegment.Line,te*1,ne*1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*1,ne*(1-de))),oe.add(new go.PathSegment(go.PathSegment.Line,te*.8,ne*0)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.66,ne*0)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.66,ne*.055)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.755,ne*.055)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.93,ne*(1-de))),oe.add(new go.PathSegment(go.PathSegment.Line,te*.64,ne*(1-de))),oe.add(new go.PathSegment(go.PathSegment.Line,te*.61,ne*.75)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.5,ne*.75)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.39,ne*.75)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.36,ne*(1-de))),oe.add(new go.PathSegment(go.PathSegment.Line,te*.07,ne*(1-de))),oe.add(new go.PathSegment(go.PathSegment.Line,te*(1-.755),ne*.055)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(1-.66),ne*.055)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(1-.66),ne*0)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(1-.8),ne*0)),oe.add(new go.PathSegment(go.PathSegment.Line,te*0,ne*(1-de)).close());var he=new go.PathFigure(te*.5,ne*0,!0);return le.add(he),he.add(new go.PathSegment(go.PathSegment.Line,te*.26,ne*.25)),he.add(new go.PathSegment(go.PathSegment.Line,te*.4,ne*.25)),he.add(new go.PathSegment(go.PathSegment.Line,te*.4,ne*.63)),he.add(new go.PathSegment(go.PathSegment.Line,te*.6,ne*.63)),he.add(new go.PathSegment(go.PathSegment.Line,te*.6,ne*.25)),he.add(new go.PathSegment(go.PathSegment.Line,te*.74,ne*.25).close()),le}),go.Shape.defineFigureGenerator("EmptyDrink",function(ce,te,ne){var le=new go.Geometry,oe=new go.PathFigure(te*.15,ne*0,!1);return le.add(oe),oe.add(new 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ot.push(Ve.id),Pr("".concat(Dt.containerName)).style("background","#5e5e5e"),ot.forEach(function(In){jt.push(Tt.select("".concat(Dt.containerName," .node-circle-").concat(In)).attr("color"))}),Tt.selectAll("".concat(Dt.containerName," .node-circle")).attr("fill","#3c3b3b"),ot.forEach(function(In,bn){Tt.select("".concat(Dt.containerName," .node-circle-").concat(In)).attr("fill",jt[bn])}),void Pr(".graph-bath").style("display","block");if(Dt.isShowMask){var kt=[],Jt=[];Dt.links.map(function(In){In.source.id==Ve.id&&(kt.push(In.target.id),Jt.push(In.source.id+In.target.id)),In.target.id==Ve.id&&(kt.push(In.source.id),Jt.push(In.source.id+In.target.id))});var Kt=hs(kt),un=hs(Jt);Kt.push(Ve.id),Tt.selectAll("".concat(Dt.containerName," .line-item")).style("display","none"),Pr("".concat(Dt.containerName)).style("background","#5e5e5e"),Kt.forEach(function(In){jt.push(Tt.select("".concat(Dt.containerName," .node-circle-").concat(In)).attr("color"))}),Tt.selectAll("".concat(Dt.containerName," 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ot=et._ops,pt=ot.nodes,Dt=ot.links,Tt=[],jt=[],kt=0;kt0)for(var un=0;un1&&arguments[1]!==void 0?arguments[1]:{};Ut=Ve,et._linkContainer.selectAll(".connect-item")._groups[0].length||et._linkContainer.append("g").attr("class","connect-item").append("path").attr("stroke-width",2).attr("stroke","#5e5ef0").attr("class","connect-item-inner"),Pr("".concat(et._ops.containerName)).on("mousemove",function(ot){dr(ot,et)})}function dr(Ve,et){var ot,pt,Dt,Tt=(ot=et._linkContainer._groups[0][0].parentNode.attributes.transform,{translate:(Dt=(pt=ot)&&/translate/.test(pt.value)&&/scale/.test(pt.value)&&pt.value.match(/translate\(([^\)]+)\)\s?scale\(([^\)]+)/))&&Dt[1].split(",")||[0,0],scale:Dt&&Dt[2]||1}),jt=Tt.translate,kt=Tt.scale;et._linkContainer.selectAll(".connect-item-inner").attr("d",function(){return"M".concat(Ut.x,", ").concat(Ut.y," L").concat(Ve.offsetX/kt-jt[0]/kt,", ").concat(Ve.offsetY/kt-jt[1]/kt)})}function ir(Ve){return Array.isArray(Ve[0])?{message:"success",done:function(et){for(var ot=0;ot1&&arguments[1]!==void 0?arguments[1]:"order",ot=arguments.length>2&&arguments[2]!==void 0?arguments[2]:1,pt=arguments.length>3&&arguments[3]!==void 0?arguments[3]:1,Dt=arguments.length>4&&arguments[4]!==void 0?arguments[4]:1,Tt=!0;return pt==1&&Ve.length%2==0&&(Tt=!1),Ve.map(function(jt,kt){jt._level=pt,jt._value=pt==1?kt+1:kt+1+(ot-1)*Ve.length,jt._parent=pt==2?1:Dt,jt._site=pt!=1||Tt?et:kt=Wn/2){var mr=Cr.startAngle;Cr.startAngle=Cr.endAngle,Cr.endAngle=mr}return Cr})):(Wn=Kt._level==1?Kt.children.length*In._toolbarData.length:Kt.children.length*Kt._num,Nn=zt()(new Array(Wn).fill(1)).map(function(Cr){if(Kt._site=="left"){var Sr=Cr.startAngle;Cr.startAngle=Cr.endAngle,Cr.endAngle=Sr}return Cr})),un._num=Nn.length;var Zn=Kt._value;return 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",dn="data:image/png;base64,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",Lt="data:image/png;base64,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",Et="data:image/png;base64,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",Pt="data:image/png;base64,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",qt="data:image/png;base64,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",Un="data:image/png;base64,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",sr="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAzQAAABkCAYAAABQFHUdAAAAAXNSR0IArs4c6QAAG39JREFUeF7t3XmYHGWdwPGq6p7unvuezJVMJuRgSAIEURQUgQcUhV0UZVniAa4HKiig++jzrOIiwUV9HhYUAosgi7CCoLABFK8VOQwIsoQjx+Qgmclk7iMzkzn6rn3eTDrT71s9V+btnup9vvMPdLrqV+/7+b31Vv2qq7rNG7ZcW2Ic+QuOBMzE/4v/hjwh6XVxcfK7hhEaCUvvhz3y+uEx+X2/JyItbxTI8SLjful9nyUvHwlGpfejlk96nZenxHMsL68fC8nrey35fSNXjhcL5Ujby7FicnvCSnwrLr0fCPilgNGwvH7MVF5H5NdeS96+4ZPbF1eW91heafvxiNwedXs+NV5UXj9myut71fYqyzvbJ6/vUXzipkdub1RePidH6a/yvrq+R2lvPCbHM7xyQPV9j2nL7VHjReX2zr998vYMr9LfmCW1Z8b2xeR4Xq8c0FY84kp/LVPenq3EU9unxrPUfCp+ajyPxyN12I7L7bfV9hlKfuJyew05nKHGswylf2r7lO0rzTPiyvZspT2W0l51+4YS0FLWj8VisoeSj/gM7VO97JgpjZ+5ts9U2jdTfmzFR/VTvdR4pjr+lP4alrx/OMbrDONH3Z7HkgM6/OKG5Geasqcjv472KeNZHT8zjBeleYat+BhKfx35spX9Q2mfurxhK+01lP7asoejfY7l5XjqeLdNOZ6hJNjZH2W+NKbPjzxaDMMx/mxl/1DiqeNBjWfO4GMo+486fpztk/tjK/lQt2co48fZPmW+c+RX9jSV/qd4Ke0Pzvap+ZR9He1Tx7+SD1vNr+KpxjNm2D9NZbzZSv5map+hzAe2sj3H/pRiwCT/kx2XfUzVY4Z8qP1Rx5ut7K+O8eNon7p/qfNdXDk+qfmWAzq3p8wvavsc41mZsBz5N3PMK5677FXHQOAfEEAAAQQQQAABBBBAAIEsEKCgyYIk0UQEEEAAAQQQQAABBBBILUBBw8hAAAEEEEAAAQQQQACBrBWgoMna1NFwBBBAAAEEEEAAAQQQoKBhDCCAAAIIIIAAAggggEDWClDQZG3qaDgCCCCAAAIIIIAAAghQ0DAGEEAAAQQQQAABBBBAIGsFKGiyNnU0HAEEEEAAAQQQQAABBChoGAMIIIAAAggggAACCCCQtQIUNFmbOhqOAAIIIIAAAggggAACFDSMAQQQQAABBBBAAAEEEMhaAQqarE0dDUcAAQQQQAABBBBAAAEKGsYAAggggAACCCCAAAIIZK0ABU3Wpo6GI4AAAggggAACCCCAAAUNYwABBBBAAAEEEEAAAQSyVoCCJmtTR8MRQAABBBBAAAEEEECAgoYxgAACCCCAAAIIIIAAAlkrQEGTtamj4QgggAACCCCAAAIIIEBBwxhAAAEEEEAAAQQQQACBrBWgoMna1NFwBBBAAAEEEEAAAQQQoKBhDCCAAAIIIIAAAggggEDWClDQZG3qaDgCCCCAAAIIIIAAAghQ0DAGEEAAAQQQQAABBBBAIGsFKGiyNnU0HAEEEEAAAQQQQAABBChoGAMIIIAAAggggAACCCCQtQIUNFmbOhqOAAIIIIAAAggggAACFDSMAQQQQAABBBBAAAEEEMhaAQqarE0dDUcAAQQQQAABBBBAAAEKGsYAAggggAACCCCAAAIIZK0ABU3Wpo6GI4AAAggggAACCCCAAAUNYwABBBBAAAEEEEAAAQSyVoCCJmtTR8MRQAABBBBAAAEEEECAgoYxgAACCCCAAAIIIIAAAlkrQEGTtamj4QgggAACCCCAAAIIIEBBwxhAAAEEEEAAAQQQQACBrBWgoMna1NFwBBBAAAEEEEAAAQQQoKBhDCCAAAIIIIAAAggggEDWClDQZG3qaDgCCCCAAAIIIIAAAghQ0DAGEEAAAQQQQAABBBBAIGsFKGiyNnU0HAEEEEAAAQQQQAABBChoGAMIIIAAAggggAACCCCQtQIUNFmbOhqOAAIIIIAAAggggAACFDSMAQQQQAABBBBAAAEEEMhaAQqarE0dDUcAAQQQQAABBBBAAAEKGsYAAggggAACCCCAAAIIZK3AMRc0uZ5c65zaD5QvyV+SW+ov8xmGaRqGnQwhvRBvyP8w+cq2J/7fNuIpIW3DPLLw5DpxO273h/rCrYf2jb3Q9ezBiB11bE9XVhoLlwVOLn9HcXVgUSDgzbMSce0jPbLtqdqtdPlwH5ObeaTfSavL709saSw2Fu0e7wy+0vPSUF+oL6KrX2ocj2kZp5S/s2hJwdK8Mn9ZjilSeuQvkaOpEjz5flL/zCOJTVopPsUQEevHjbjdF+wNvT20e2zncPNYuvop4hZ5i71ry08qqM6tCQQ8ASu5f4kcmGZi3BlG6v5PJi7l+6Yz/4fHuW0bo9GRaPtIW2j74NaRdI5dsb3FeUsCDUWNgXKf2E/F8HWO1+RMSWPwSB9S9S95n5bfn4wfteN2b7ArtHd4z9hQZDiWzpzmmF6zobAxUJNbG/Bb/sP7qZ2Ug8k+TrW/HtkfkzHmMAYORYajbSNtwb5Qb9r20YSfmH/r8pYEygNlOalMj3YhaR+Uc+ScLpNVEsua0voTW4rGI3bneGeoN9iT9n6K7eV5863a3PpAwOszJ48V0x5qjHjynJw8Bo52MvXhIn50Tp+IPxQ5GMlUP8X2CrwFnlKfnNPkeSietO+mnHOTWBJjwJbm4eTj7uTCkVjE7g+n99jy/upzyppK1hRWBioDOR7f5MFlquNiUopSHRflg2lSv44es+T9fCQ6EukKdgaf7/hz//7R1lC65qIyf7n37JpzK8Q8VOQrPrJ/Zu7cKBqP2r3B7tDOwZ0jr/S9NJSufoq4a0pPKjihdHVBpb8q4DuS0+RcpTo3stVTwUS+jh4uk3I5/bmRPRwZjnaOHgi+2PuXg2PRsdQTuwYAv+U3T6t6T4nIabG/xDvdedHUx8W5nxsl9vFIPBLvCXaFth/cOtI+1p62sSvaXpNX41tV1FSwKLfa77Vyjs65E/2a6EM6z40GwwOR9tEDwe2D20bnmrpjKmjq8ur9l6/47OL8nIKjiZ3rhnUuPxDqD9+/8962dEzIH66/sPL06jPLTUOaf3U2f9axIrGw/fsDT3e91LtZ+yRV7qvIWb/i03XiBH/WDUrjgs2DOw49sve/OsLxsPZC9fSq9xafW3f+Ir9n4qR3If/E2H285dGOfYf2BnW3I9+T77m48ZLq40tWF+qOPdd4Yuw+3/Vc7zOdfxiY67qzWf74kqa8Cxd/pKbUn/oEfzYxdC0jxu4TLY91D0eHorpiJuKIou28+g+Vv7vqjAqP6dEdfk7xxNj9deumrnRdfFiUW+37SMPHqsUFljk1TPPCoVgwvrn7hb5nO/9nIDbFxav5bvJdle8uOqvm3MrioyfA84049/VDsVD87eHdI0+1burROXZ9ls+8sumqhurcWlccW0Sx+8f233Y/3/XswbkrTb/GSWXrCj7a8PE6tWDTvZ3Zxts/0jL2n7vuadN9HBUXPz+x/Iq6VcVNC35sERajkZHYY/seaU/HXLSscHnuJY2X1hX5JguZ2frrXk5c9n2556X+p/Zv6tUdW8S7cPFFladVnV5umQt+amQcGGkd/+W+X3TM5SL+nAsaMTl9ZfXXGsv85b50gB5rzPbRA+N3N9/eqvOA846KUwsvXnpp3bG2KR3ricn4vl13t+g8ARaT0xeP/+rS2vw6VxxwEm5vDGwZfHTvQ106HcWJ76eW/9MSnTHnG2s8Ohb78dZ/36fzJEK06bMrr1y8rGh5/nzbp3P9Pxz4bfdzXc9oPZEQn0B9vunLSxf6BD/ZqTfYE9q47dYW3Z++rT/u0zWrS9cW68zJfGM9uOe+/c2DO7R+oloVqMr5UtNXG30uuOiQ8BGF6oN77mufr5e6/kVLPlr1rqrTy3THPdZ4weh4/D+a79in65Opjy29tPqUilNLjrU96VgvZseMe5vvatk/2qrtQpL4ZObqE65d5vcEFv5sMAnt9f7XBn+572Gtx9ELFl9Uefqi95anIzfHGjMdx1HxielXV3+90S0X7xM2vz/wG+0F+VnV55SdV/+hqmP1T8d6PeNdoY3bbmuJGrFZXdiec0FzQsma/E8sv3xxOho/35j37NjY0jLaom2CuqrpWted5Asj3QfWNaVr8y877tOuzOktb31/z0CoX9uV7qubrltak++OK4XJ4/1vvS8f3NT6q+757gOJ9VeXrMlf78L9NBaP2d/bcsPukB3UdnvAVU3XNtTm1+XqstMV55mOP/b8qUPfJ1JuLMaF1UhkJPqDN27ck7hdS4fflcdfvWRJQcOCfjKTqh/iKvBr/a8e0tFHEWN50Yrcz6z8QoOueLriiAuEd+74Uet841mGaVy/bsNKNxWmiT7pnnPPrflA+dl151XO10z3+uIi6IYt1+/U9SmNuAB6/ckbVrnlU6hkr+e7nun9/YHf9usyPK/ug+Xik1Nd8XTFERcdNrz+nV264rk5p+IugJd6Nw/Opq9zLmjcmmDR2afbnura3P38rDo+E46YiG845eZVHsuz8PeaKY0dCg9Gfvjm996eqQ+zff/8+gsq3ld9VsVsl8/kcjpPIMTtOtefctMqN13JT1h2jXcEb992a4suW3Gr5BnV73fVFbRE3x7Y9dP9um4NEJ8Yf3vdja7M6d7hPaM/3XV3m66cuvGqaKJvd2y/dW/nWEdYR19FTq9ft2GVG257UPuzdeDNoYf3Ptipo58ihrjF4z0uu9Kd6NvNr9+4eyR6aF7PvVX4K3OuW/uN43R56Ywjbse6u3njfl0xP3Hc5bUnlK4p0hVPZ5x7d96l7a6Omrxa39UnXLdMZ/t0xdo1tHPkZ7vvPaAr3uUrPle/snhVga54OuP8eNste7vHu7TMuUvyG/xXNl3dqLN9umK92b9l6JF9D81qzp1zQePG27AScA/t+VnbtsGtc36QaCr4b574reVuuG9SbV/HaHtw447btJ38nll9VukH6y9YpGsA6ozz8z33tx3Lw2Gp2jBxFeLGVTkev+uK1I7R9vGNO26b9xXRRL8/vPjvKs5YdKYri9QHd9/X1jy0Q8t+Kh6O/9a67650wzNu6pg7MNI2flfzj7Xl1I237iT6fP+ue/fvHt6p5bYz8Tzf1078pitPgsWX0Pxk553aToI/ueKK2qbi1f9vT4LdfOVX9y3Nbr7g8IPXb9qj65Zm8SUd3zr5hpU6j/O6Yum+ve4flq2vPqlsnatul0xY/fCNDbt1fdFOlX+R75q1/+zKIvW1vlcHH2t5ZFa3TM65oCnKKfRcu+abx7nhgerknWA8Oh6/5a2b94zHxrXdynJJ42XVJ5ef4rrBvLn7+b6n257q0zUJ1ObW+b+8+ppGt50UigfJf/DmTbt15vTzq760eGnhMlc9VyLy+NeezVof9HPrraHi9od/e/2GXTpzet2abyyrCFS66pk+kdOXu18ceLLtv3t07aenVZ5e/PcNH63RFU9XHPHNNzdt+c6uYEzfbYTfPvm7K3K9eQv7rQcpgP7avXngqbZN2nLq1tuUxMPHG177zs5QPDSre9enG0tu/eTi4bcfaNt68C0tF1ZE/xsLluV+7vgvue72QfEcwo+23bJP1/4u4rj1dvxf7ftF+5b+/9V2S+g7Kt5VdPHSS2p12umIJb6Q5Za3vr9XR6xEjH856V+Xu+1ZIdG2TS2/7Phb3yvDs+nrnAsaEdSNSX707Z+3v3HwdW0DWfRTXP39yuqvNy7kN8+oSRRfa3zHtttaIrbeb/9y460POm8hTDhW59b4vnj81Y1uuv93ODwYvX37rXt1f+3kZ1Z+oX550QpXfVyu+x5nkdfVJScWrF/+qfrZTHiZWkY8oHrH9lv3DYYHtT3/5dYvZNH9LILIkRtP9MUFlruab9+n6zYP0U/xIPlVTdcsC3hzXfUg+baBt4Yf2vtAh479Jc+bZ3256ZpGN3wDYaI/r/X97eBjLY9qe2YxEddtn9KIMfuT5jtbOsb1ftWvG4+ju4aaD/1s90+1f2nHZ1d9oX5ZoXuOo+Jiw/277m3dM7x7XMf+mYghvoL7suM+6arj6P6R1rF7mjfun+3zmcdU0AgA8TDj+XUXLqrOrw6Yh3/bYmH+xNWH37Q92aU7uYneFHgLPRc1XLyoqfSEooXsp2iPuJfw1/uf6BmNjc7rvuZUmRLPDL2v+uzSs2vOqVroW7LGo+OxP7b/rufl3he1fz216Lv4GsaLGi6uccNVfXFb0uOtj3bqPElK5FecSHxkycerV5etXfBbWsS3Cr3S81L/021P9s52cprLjHLGojNLzq39QJUbHj4eCg9FHm95pCMdc5L4jYB/XPapuopApX8uPuladufQjkMP73mgQ/e3uYn2Xtq4vubE8nWu+Ea3SCxkP7l/U4fOLwRIPpH42NJLat0wdkWbuse7gvc037lf56eo4nc8Plj34cpVpU2FJb7SlL+dlK4xmogrPkkcCPaHX+j6c99sr/geS5vEb7mdU3tuxcTv8y3MnzjpbT3UMvpEy+PdPaFuLc9ZqD0RRc1FDRcv+Neqiy+aebHnL/1/av9dfzrmIXEh6UP1F1S+s+rdZQt9DngwNBD5ddumTt3fKpnI7SnlpxaeX39BdX5OwYJ/Or794NbhJ1of6x6Jjsz6fPeYC5oEgEh2hb/SJ36EMfFDjFZSgWPbtuN5heQfbBQn0ok/05qhMLInFjZNS/wIp9011hnWOelON/XkmD6zLq/Wn5eTryQ6qf1JARJ9tO2kX6dM8b7c46RYSasdihyKtY8cCOn8Zqip+ir6WV9Q76/wV/iE8+G/I31I3ZPDGTm8mJRL+Uc5nWMgKdeJW93i8ZjdNd4Zbh87ENT1jSxT9VPc2y2+7rcmry6QK10dncxIogvmkXF3uKfW9I/fJN+2N90YED+s2TF2IKjz67en6qv43aiGwsbccn95jpk0HlPnM6n/ib5K+7Cz/1Puz6ZhiB/W7B7tDL99aPdoT5p/iLHEV+JtKl5dUJtf5/dZfkv5YdijDU/kKPn9VHbJuU4eAxM/Tir/Ccvh8HC0c6wjuKX/1eF0jl8xdk+tOK14ccHiQHFO2cTcO0XyJ8fg5CLJy6Y2mFxicp+enMdjRjzeM94d3jXUPKLr+bapxu6qoqa8teVrCyv91QGfJ8cBf3SOOjwLzfho3MTxI/mYM/WkdrhJh8LDh3/U+IXu5wYGQgPaPm1T+1vmL/OeWX1OeW1eXaDYV5IzRU+S/nnif5Obn7r/UqSkfWCiBYn8R+PReF+oN7RzsHnkL93PHtT58wdqX8UPGfvM1L8BZh2Zc+Qxmpz2FPNPyjnNeSwdCg9G07lfqv0Ud3hM/ED1ZPuP5dxotudFiXOjaDwS7xzrDOu+i2OqffTwj/zm1/t9lk/ZP53nRvKc7Nz55GNJ8hYT413O/0CwP9o13hFKRyGTKp/ix4xL/SXeo+3M0LlRJB6Od411htrH2kLp3DdFn8U5fUPB0oD4TcIcK3kqmkivNOccw7nRTGNgMHQw0jbWMi7G8FRjbqp/n3dBM9cNsjwCCCCAAAIIIIAAAgggoEuAgkaXJHEQQAABBBBAAAEEEEAg4wIUNBknZ4MIIIAAAggggAACCCCgS4CCRpckcRBAAAEEEEAAAQQQQCDjAhQ0GSdngwgggAACCCCAAAIIIKBLgIJGlyRxEEAAAQQQQAABBBBAIOMCFDQZJ2eDCCCAAAIIIIAAAgggoEuAgkaXJHEQQAABBBBAAAEEEEAg4wIUNBknZ4MIIIAAAggggAACCCCgS4CCRpckcRBAAAEEEEAAAQQQQCDjAhQ0GSdngwgggAACCCCAAAIIIKBLgIJGlyRxEEAAAQQQQAABBBBAIOMCFDQZJ2eDCCCAAAIIIIAAAgggoEuAgkaXJHEQQAABBBBAAAEEEEAg4wIUNBknZ4MIIIAAAggggAACCCCgS4CCRpckcRBAAAEEEEAAAQQQQCDjAhQ0GSdngwgggAACCCCAAAIIIKBLgIJGlyRxEEAAAQQQQAABBBBAIOMCFDQZJ2eDCCCAAAIIIIAAAgggoEuAgkaXJHEQQAABBBBAAAEEEEAg4wIUNBknZ4MIIIAAAggggAACCCCgS4CCRpckcRBAAAEEEEAAAQQQQCDjAhQ0GSdngwgggAACCCCAAAIIIKBLgIJGlyRxEEAAAQQQQAABBBBAIOMCFDQZJ2eDCCCAAAIIIIAAAgggoEuAgkaXJHEQQAABBBBAAAEEEEAg4wIUNBknZ4M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",tr="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAdIAAAJ4CAYAAADRD2IjAAAAAXNSR0IArs4c6QAAIABJREFUeF7s3Qd8VGXWP/Dz3JlMKiQkhBRKCL2JoOiLCJlEseu67lpIAuxMYFnrqmuBtQYRKwo2VITMLJAMK9Zd3XVtyQRFdFV6CQkEQkJN75nM3Of/Hyxrgdw7/d6ZH5/P+8pyn3LO9wweZ3Lnucxgzf6a8AsCyhFwEPFu4qybMeomcv7fd/+bBOomTt2c2Hd/znm3ILDv/+y7/02C0E0O3s0E1sFJbGWMWokLLZxYq4Y5WkXGWnWCplUMj2xdMWlFu3LSRiQQgIBaBRgaqVpLh7g9FWDERCLeSkStxKiVi9QqCKyFE29lRK2ig7cwjaZWw1gtF1itxsHrUhO66vLHrrd5ujfmQwACwSOARho8tUQmfhJgRM3EqY4zVsuI13GRahlRraDV1Dr/TKfR1NocQl3B1IIWP4WEbSAAgQAKoJEGEB9bB7cAI3K+cz3BiKo5E6oZ5zWceLVWCKvubOc1ay5Z0xbcAsgOAqEhgEYaGnVGlooUYI2MeDU5G63Iq5lWU60VeDUL59UrJllqFRkygoIABH4lgEaKFwUEFCnAOgVGh7lI1cRpPydewUWxPF0YfTA/K9+uyJARFARCVACNNEQLj7TVKcCI7JxTJWOsghGVE+flXIioMGWYTqgzI0QNAfULoJGqv4bIAALEiJqIWAURlQuMV5BDW9E7vO++pVOWdoAHAhDwrQAaqW99sToEAibAOHFivIaI7SAStmtI2DZAHFqOj4YDVhJsHKQCaKRBWlikBYFTC7BOxvluEthWIr5d0EZtXzVlVT20IAAB9wXQSN23w0wIBIUAI+a8c3i7INA23i1sa6ntqlh//XpHUCSHJCDgBwE0Uj8gYwsIqEuAdzJiOxgJ2zmxzWmDtN/mp5s71ZUDooWA/wTQSP1njZ0goE6Bk+ce862MsU1aLd/06nlFZYwxrs5kEDUEvC+ARup9U6wIgSAXYI2M868Y02wSuh1frpxuORbkCSM9CPQogEaKFwgEIOCpwAEmsk1MyzfFapK/wVduPOXEfLUJoJGqrWKIFwIKFnAeGEHEtnISvxQc2s8LLlhbpuBwERoEvCKARuoVRiwCAQicSuDkHcGcPhW45tOVmat34mereJ0EowAaaTBWFTlBQIECjOgYiaxYEMRPBmaM2prP8kUFhomQIOCyABqpy2SYAAEIeCrAiOqJCcXEHJ+m2Ud9g9OWPBXF/EAKoJEGUh97QwACznOCmzlxqyCwTwbF27/KH7ve+RxX/IKAagTQSFVTKgQKgVAQYG2M+AYuCu8Nzhz+FT7+DYWaqz9HNFL11xAZQCBYBY4KTHhPcNB7K7MKnccY4hcEFCmARqrIsiAoCEDgpwKM2DcCE/8xcGDEJziuEK8NpQmgkSqtIogHAhA4rQAjaifiH2oY+8fKDMs2UEFACQJopEqoAmKAAATcETjAiP4ZJtL7K7Iste4sgDkQ8IYAGqk3FLEGBCAQMAFGTCTiG7nI3xmcOaoUNygFrBQhuzEaaciWHolDIPgEGFGNwJjF1qH555pL1rQFX4bISIkCaKRKrApiggAEPBJgRK2M0Tta0vx9RcbaIx4thskQkBBAI8VLBAIQCFoB58e+jOhTkVihWV+4PWgTRWIBFUAjDSg/NocABPwlwIh2cE6Fbcftn66/fr3DX/tin+AXQCMN/hojQwhA4OcCRxkT1kUmxL6zfOzyVuBAwFMBNFJPBTEfAhBQpQDj1EGMvavp5mtWTrccU2USCFoRAmikiigDgoAABAImwFm3IPC3tFFkWjEJ30cNWB1UvDEaqYqLh9AhAAHvCTCiLmLsDUEb+bdVU1bVe29lrBTsAmikwV5h5AcBCLgowDsZF17nXLfanGVudHEyhoegABppCBYdKUMAAtICznN9Oad1vSKEtS9MLmyWnoERoSqARhqqlUfeEICALIGThzsQK4roG1eEu3xlkYXcIDTSkCs5EoYABNwS4NQiMLZWGx1jWTFpRbtba2BSUAqgkQZlWZEUBCDgOwHm/Lnp8sEZI97BAfm+U1bTymikaqoWYoUABBQjwBjtFTh/epV+3WbFBIVAAiKARhoQdmwKAQgEiwDj9CHn4c+bs8xHgyUn5OGaABqpa14YDQEIQOAUAqyTMW6Oae275oXLX+gCUWgJoJGGVr2RLQQg4EMBxtkRQWDLVmUUfuLDbbC0wgTQSBVWEIQDAQioX4ARfS2EaZasmrK2Qv3ZIAMpATRSKSFc97uAhgkkkNb5/5lGIxBz/pOcfyYwJjh/xxiRwLSa7/5MoJNXmXOcoHH+nli7vd1xtPMwPmLze/Ww4Q8CzmehcqI3dbaYV1ZctKIJMsErwOqb2rgzvU6x3X6kvaZtY5219puGTT49FmtQ1OCIS5KvTkmNGBgdF95Hxzln/iZGvr4TV0J9ndl1OTrt3zZ+WftO9d8Pd3Pbydc5fkHA3wKMqJlE4VlTVuF7/t4b+/lH4MdG+tPtNjd8dWLNwRVVvghhauIF8b/tf0OaQBrBF+u7sybydUft1HOUWN+jnTVtS8sWlXVzu0+aaRjTsmmJ0xNSIgZGxYT10rbbW+0N3fW2xu56W72tzlbfdaK7rqvWhmbuvdeZGldixD4P12oWv3L+muNqjB8xn17glI3UOfyNmrWVG0+UePUJCCmRqeF3jnhwjJaFKaaJ/kCDfD3/a6Lk+m448fHht2vWHfE8y5+vkBY9JNKQdtPQWF2f8J7WZozxVnurvaW70dbU3WRrtjfYGmz1toauuu76rhO2+u4TtgZbQ7dIPun13k4b67kp4DxukBhbasooetfNJTBNgQKnbaQnuo51PL77/l3ejDl7kHHgOfHn9/Pmmt5aC/l6Lqnk+jbbm235O/6y3fMs/7dCL02s9u5RD43qFRbbYxOVu6dIIm90vn/tOt5xvPNw5/GuIx3VHYc6j3RUd9pEfDQt11Ed49gmEnWP4run6qiWVJSnbaScOL9v621buninKLWI3Ot3jXp4ZP+IgTFyx/tzHPL1XFvJ9XVm99DOO7e0drc4PM/0uxWuSPl98oVJl/X31nqnW8f52mzqbug60XnsZHM90nW480hHTcfh9qrOLrELb2F9XQCfrc/aBM6WFWQWvu2zLbCwXwTQSL9nRiP1/PWm5EYqkij+devNW7z5c9K/jHxo5IDIQYH7D0NGvLHL+VPYEx3Hug53fN3wZcOB1ooOzyuJFfwpwDj7KkwQFq3IWOv1Hz34M49Q3uu0jbS263jHY7vv8+5HuwPzBp6TMEWRH+0iX8//GmQruL6HOw+1LtmzsMzzLP+3wr2jHhmVHJEa7c01PV3rQPu+5pX7nt/f7mjz2jtvT2PCfGkBxqmDBOG5gmlr33T+PF16BkYoSeC0jfTN6sLKz2uLvXuzUUT/8DtHOm820iruZiPk6/nLMkWp9WXEV+xbtndP845Wz7P83wp/GvqXISN7jenjzTW9sdaRjpq2Z/cu3OPgXvupjDfCwhoyBJwHOTjsYYtWX7i6RsZwDFGIwCkb6ZaG/55YffBVn3z9JSNxesJv+l8/SCBBMc0U+Xrv1ai0+tq5XfzgyDvVnx7/4IT3svxupXGxE3rlpd86wtvremO91w/9bf+mug0N3lgLa/hXwPnuVNBoFq+atvYD/+6M3dwV+LGROr+8frizpv3LOuuJr+o3+vZAhsj0yEtSfpMyIHJQlLfueHQVAPm6KiZ//CAP6uv8WEvkzi+BiCf/KXLOibjzdyQ6/8kdxJ1/xp2/F4mz7/958ppzhPOiyFvtLfajnTXtG2utdUc6a3x2wpEh/aa08bFn95Wv45+R5S27G1/e98w+/+yGXXwhwIi/E9OW+DQOwfeFrnfXxBGB3vXEaiEocHnKNUmT+2YkxWh6hSkl/cq2fc0vlD9erpR4EId7AoxYhWCn+asuLDro3gqY5Q8BNFJ/KGOPkBBIjxkemRqRGtFHl6CL1fbRxer66Hpr43S9dbG6CCFS60+EXc3b6lfuf77Sn3tiL98I4KNe37h6c1U0Um9qYi0InEYgnEUIfSMSwxLCE3V9whJ0fcLidbHhzkbbRxcbFqvrHRar8+aJX+YDy/dua/y2xRcF0ZKGDYhJj2jrbrLX2+q6cVOTL5R/vSYjejumre8SfNTrH29XdkEjdUULYyHgQ4HE8CRd/4hBESmR/SOTIlMi+oYnRfbV9YvQCTqNK9vuad7RsGL/sv2uzJEzNlwIZ9cOmD3wjLgJ8Toh/GRMNrHLsadlR8M39V/W72za3IIjDuVIejCGU7nGwRbgo14PDH0wFY3UB6hYEgLeFEgMTwxLjRwUmRzRPyIpIjmyX0RKRIKuX2T4983sh70c3CFubviq9u+HTIe8/S7R2UTvGPHAqKSIlKjT5dbqaOne1bS1/su6z+sr28rbvWmAtf4n4Pyol3NabM6y4K5ehbww0EgVUgiEAQFXBRJ08WGpkYMjIjURGmfjLG/Z1dJsb/bJQQxX9b8uOSvxEtnHIdbbaju3Nn1T91X9Z/XHOo7YXM0N46UF8FGvtJG/RqCR+ksa+0BAxQKLznhufLQm2q27kp2nSm1u+G/9f+s2NjTbG+0qZlBe6JzKBS2/q2DqusPKCy50IkIjDZ1aI1MIuCWgE3TsifHLz3Jr8k8mOb/8u791b/O3jV/Vb274srHT4b0HYngam5rnM04NGoHuWplh2abmPNQcOxqpmquH2CHgBwHnHceLz3zuTIE0XjuNzM7tjh2Nm+tLTvzneFX7gU4/pBHUWzAiGzG20JRR9J+gTlShyaGRKrQwCAsCShK4bfj84enRw3v7Iibn4RGfnfjk2ObGr5p9sX4orSkw4dWCjMLXQilnJeSKRqqEKiAGCChcYGTM6Og/DrtzpEAC81WoDba6zs9rS45vrCuuw8e+7iszog/S+tofyR+7Hjd5uc/o0kw0Upe4MBgCoStwft8L4q9KvXaQq99rdVXMJnbZv2nYVPvpsf+cqLMdRzNwFZCIGNHW2N7hdy2baPbpueluhBaUU9BIg7KsSAoCvhGI08ZpL0q5Onl83MT4aE2MW3fxyo3MeXPSnuYdjaXHPzxW1rq7Te48jPtOgBHVaEh7x0r9GhwV6eMXBRqpj4GxPASCUUDDBBrbe0Lvs+PPix/Za2ycr9+lHu2sadtQ++nx/9Z+1mAnBx58LfNFxYhaSeDzTdPWfSlzCoa5IYBG6gYapkAAAv8TcJ56NLHPuXFn95kcnx4zPNaXP0dtdbTa3q22VH3T8GUTaiBbwEHEnjTri96SPQMDXRJAI3WJC4MhAIGeBHpre2vOSTi/z5lxkxIGRg2O5pz75OakT479q/r9I28dQzVcEWBrzPqi51yZgbHyBNBI5TlhFAQg4KKA8xD+c+Onxp8Zd3Z83/B+kS5O73G485Hvz5Y9svNwR7XPHtruzXiVspbzWMG0jJGP57N8USkxBUMcaKTBUEXkAAGFC6RFD4k8L0GfMCFuUt8fnhzjachf1G04tv7Q36o9XSfk5nP2r7bj3QvXX7/eJ+cyh5yn88YugzX761BMHDlDAAL+F4jSRgnnJ1zQ97wEfWKcrk+EJxHsay1rfKni6X2erBGyczl9Olg/8r58lo+zj73wIkAj9QIiloAABFwTEIjRxD7nxk5NnN4vLSrdrROTdjVvq1+5/3l8tcM1+h9HM2KfxbQlzMeDwt0E/Mk0NFLPDbECBCDggYDzY9/Mfhf3OyN2Yrwr5/n+8/DrB4uPf1jrwdYhP5URfR0Xlnzn0ilLO0IewwMANFIP8DAVAhDwnkBvbZw2s9/FieckTEmUOuyhtut4xzN7HtnTxfEEGU8r4DwFKVK03748a32rp2uF6nw00lCtPPKGgEIFwpiWnZuQ0Wdq38ykpIjUqF+G2dhd37lq/wsVNR2HcMeu92q4R2frdcuKi1bg+7lumKKRuoGGKRCAgH8ERsSMjh4be2bsgKi06DZHW/fBtv1tpcc/rO3mdpxu5OUSMGIVjm7tLaunr67z8tJBvxwaadCXGAlCAAIQkCfAiKo03XTTyukWHHYhj+zkKDRSF7AwFAIQgECwCzgPuw+LpjkrJllwI5fMYqORyoTCMAhAAAKhIuD8mDcmnM17YXIhHrYuo+hopDKQMAQCEIBAyAlwtn1wmu6m/HRzZ8jl7mLCaKQugmE4BCAAgdARYJsGZ4y4Aycg9VxxNNLQ+RuBTCEAgVMIaEnDLkq+qt/Z8ZP7xof3DXeIDl7esrup5PgHx/a27sEDxYk+Gpwx8n4cdH/6vz5opPhXCwQgELICOkHH5g7589BhMaNif4nAGONf1FmPvVVVeDjUHybOmPCmKaPw8ZB9oUgkjkaKVwYEIBCyAtf0n5E6LXF6Sk8ARzsPt605+ErlkY7DoX0ABKcCc6Zleci+WHpIHI0UrwoIQCAkBcKYji08Y8n4CCFKKwVgE22Ofx5eX/V5bXG91Nhgvi4QW1qgLyoM5hzdyQ2N1B01zIEABFQv0C88Wbdg9KNnuJLIjubNdZaDBVUdjo6QfTA2E4R807TC91xxC/axaKTBXmHkBwEInFIgKTJFN3/kIpcaqXMh51m/5v0v76/qqAzJJ6YwYiIXxXvNWetK8NL6TgCNFK8ECEAgZAXyxy4Z1zssLtxVADvvFt+qLjqwqW5Dg6tzg2E8I7Jptezm184v2hIM+XiaAxqpp4KYDwEIqFbgkuTf9Lsk+TcD3U3gi7oNx96qXlPt4KH4SS9rjIrUzVx+rvmou37BMg+NNFgqiTwgAAG3BGamzR14Vp/J/dyaTEQH2/c3F+x7qbLF0WR3dw21zmOM9qYNDM8L9dOP0EjV+gpG3BCAgNcELk/5XfKFSZelMmLMnUVbupu6zAde2V/ZVt7uznw1z2GMPimYVrTA+b1bNefhSexopJ7oYS4EIBA0AqN7j4/JTjMOidH0CnMnKQd3iG8cWnPgy/rPQu7npgITXi3IKHzNHbdgmINGGgxVRA4QgIBXBPro4rWzB9+UnhaV3tudBZ3vyj4++n7N+0feCrnneQqc3VOQWVTsjpva56CRqr2CiB8CEPCqgIYJ9JvU61Mz+l2UzDl366PezQ1fnSiqWlkVWjch8U4iwWjWF5V7tSAqWAyNVAVFQogQgID/BSbEnd37+kGG9AghUvLko1NFt799b1PB/hf3t9vbQ+aWXsbZkdhY3axlE82N/q9Y4HZEIw2cPXaGAAQULpAYnhj2h/Sbh6RGDIxxJ9TarmPtr+5bWlFnq+12Z74q53D6drB+5M2h9Og1NFJVvlIRNAQg4C8B52PWrh00q/+58VOT3Nmzxd5sW1GxtLym81DIPCA71J4W49bn/+68mDAHAlIC+TxfqPt3XZgj8mhYO0Vrdb26tNSuCSPGwrpstjANC9MyxsIEnUPb3c3CnL8n5ghjohDFBYrmDh4jCCyaczGaMRbFicdwYtHEKZoxiibiJ3/PGUVKxYLrEPilwLnxU+KuGZA7OFwI17iq0ym2d7+2/4XyytbykDlWkDHhCVNG4RuuWqlxPBqpGquGmD0SyC/O1x7uVRbHO8Liu+2OeBJ4PGMsnkTnPyle5DyeGMUzYvFEPJ4TufUzMo+CxGRFCiRHpIYbBt88pF9EcpSrAXaJXY6/VS4v39OyM1QeFu7QMvrjygzLNlet1DYejVRtFUO8fhfI+yyvFxNsSdQtpjpEShU0PFkUKZUYpTKiFE70q4dC+z1IbOg3gQhNhDA3/fYhQ2KGu1x35xm9aw+8tm9b07fNfgs4gBs5bz6KTIzLXj52eWsAw/D51mikPifGBsEuMO/reVFdTU0pGp2QQiKlOpssE9hgIp5OnFI5I/w9C7IXgfPnprOH3JQ2rveEBFdTE0kU11WZKr+u/yJU7mz9yKy3/NVVJzWNx19wNVULsapOwFBsiCDqGiwwIV0kMZ0xGkLE0jnxAUTk8s/aVAcQ5AFfP2h2/8nxGcmupsmJ879XmfZ/Vb8xJJqpQJpHCvRr/+Gqk1rGo5GqpVKIM6gE5n09L6yrqWmQRqdJJ5GNJBLHcKLRnMitE3WCCkdlyVyacrXzCTIDXD28wSZ22p/e89CuOlt9CHw1hndq7ELuqguLDqqsvLLCRSOVxYRBEPCPwNxNuQPELhpDTBzDRRpLRKNwl7F/7D3ZZUpiZvzv+ucMFkhw6d+pX9RZj64/tKbGk73VM5ft0UXHGFdMWhF0/+HgUtHVUzBECoHgEHB+Jajqs72DObEx5Dj5rnUiMRoeHNkFVxbjY8/qnTv4j0PCWJjsj+wPtVe2LN27eG9wSfSQDacic6bl2WDLF4002CqKfIJeYN5H82LtYa1ncUZnE9EkTnxY0CetkgSHxgyPmjPktmERQpSsJ8jUdB5qfWbPwjKVpOeVMBlp/mzSr93olcUUsggaqUIKgTAg4K6AodgQx4Sus4jTJGJ0Nica6u5amOe5QEpE//B5Q+4cHquLC5da7duGTcfXHlx5SGpcMF1nnBoc9rAZq6evrguWvNBIg6WSyAMC3wvctCGnTyenc4nzaZzT+cSoF3D8K9BHl6C9aehfhvcNTzrtwQ0iOcSlex7dHUpHB/6vCmyTKaPwtmB5GDgaqX//fmE3CPhVwHmKUxXtmcA1wjQu8gxiNNCvAYTwZlHaaCFv8K2nPLjB+fWX9w+/dejT4/8+EapEjAnLTBmFa4MhfzTSYKgicoCATIEbvzAMttlsGSJRBiMaz4kLMqdimJsCmf0uTpiSoO8XH54YaRft4pHO6rZ/1bx5uLytLFSOCjylHCOyc5EM5izLHjdpFTMNjVQxpUAgEPCvwMmfrWpseuL8MuJ0Nk5g8q2/8zQkOzm4b3dR1+qMWFmaOOIP+Vn5dnVF/vNo0UjVXD3EDgEvCdz4+ax+3aLjEoeDX46v13gJFcvIEmBEL5j0lr/JGqzQQWikCi0MwoJAoAT+8MkNQwVBcxkX+KVE5PLxd4GKG/uqU4ARdWnChRtWTi6sVmcGhMO01Vo4xA0BXws4j7ybW5o9QSS6ghNdSsQifL0n1g9VAfZfs77oJrVmj3ekaq0c4oaAHwVu3nlzTFdd45UOzq8losF+3BpbhYoAp4XmTMs/1ZguGqkaq4aYIRBAgTmlOeeKnF9PxDJw128ACxFkWzOiZiEs6tpVU1bVqy01NFK1VQzxQkAhAnM/zk5y6NjviPNrOFG8QsJCGCoWYJw+NGVa7lNbCmikaqsY4oWAwgTyeb62ylp+EQncKHI+RGHhIRyVCQgi3VGQZflMTWGjkaqpWogVAgoWcN6cNMeamykyPsf5+DcFh4rQlC1wVBfd6/oVk1a0KzvM/0WHRqqWSiFOCKhIwGidOYXIMYcTnamisBGqQgSYyNaZsoqWKCQcyTDQSCWJMAACEHBXIK94xiTOhDzO+LnuroF5oSfAnHexca1xVdaaHWrIHo1UDVVCjBBQucCcz2eNE+32WznRJJWngvD9JMCIVbQe685df/16h5+2dHsbNFK36TARAhBwVcBQMnMaMcft+C6qq3I/H58UmawLp0hNc3dDd6O9UdXn1PYkITB6vCDD8qZnWr6fjUbqe2PsAAEI/ETA+Wi3g5ry33LObyTiccCRLzAh9pzeF6dcmZoc0T/aOcv5OLbK1ormN2vWHDrScbhL/krqGMmI6u2d2mvWXLJG0U/KQSNVx+sJUUIg6ARuLr4upkMTZiDOcziRLugS9HJCk+LPi80elDeUEfvVv7fbxfbu1/YtKz/Ytr/Dy9sGfDmBBFOBvvClgAfSQwBopEquDmKDQAgI3PyVIbmjo8v581PnIfn4dQqBKE20Jn/ckvFaFnba58c22ho6n9z94O4u3ikGE6LzUHsuhv/enGU+qtS80EiVWhnEBYEQE5i7Iedsu4M/QIwGhljqkuk6Hw7+m9TrJc84/m/dxuOWQwWHJBdU2QBG9IFJb3lAqWGjkSq1MogLAiEocNu/bgtvjaz7Ixf4LCLShCDBKVO+duDM/lMSMiUfaccY46/tf37vrqatrcFmx5gw25RRuEuJeaGRKrEqiAkCIS5gsOYMJ04PEuNjQpziZPpX978hRZ94UaociyZbY9dTZQ/u6nB0BNVHvERsi1lfNFeOgb/HoJH6Wxz7QQACsgTyeb5woLR8BpHj5lB/FuqQmGFRtw5bMFoWHBF9U//licKq16rkjlfLOIGzewoyi4qVFi8aqdIqgnggAIGfCcwrnZli4+L9RHxyKNPcNvyvw9Ojh/aWY+D8iLdg/0vl25u+bZEzXi1jGPHqtIxR1+azfEV9dxaNVC2vIMQJgRAWcB6In7dhZi5x0Xl3rzYUKVIi+offOfLBMVqmPe2duz91abY32Z7a89DOdntbkH3EKzxr1hcWKek1gEaqpGogFghAoEcBY2nuGOL8MU58QChSXZx0Vb9LU66WfVfzlsavalcfWHEwmKycDwCPCRd++8Lkwmal5IVGqpRKIA4IQECWwKz/zIrWRtj/GqrfO/3LyAdHDIhM6yULi4hWH3i5fEvjN4ppOnLj7nEcpyJzpuVZr6zlhUXQSL2AiCUgAAH/Cxg35F7JRceCULsRKSkyRXfXiIedH/HK+npQq6PF9uTuB3e12VsVf/i77FcRZ91MCP+NKcN0QvYcHw5EI/UhLpaGAAR8KzDnk5w0MYw/zjmN8O1Oylr9gn6XJV6Z+vtBcqPa1vRNnbny5QNyx6thnJKeWYpGqoZXDGKEAAROK2AoNkSQ0PUwEV0USky3j7h/eFpUuqy7eJ0uaw+uqPi24aumYDFyHh0ohEVdtWrKqvpA54RGGugKYH8IQMBjAeddvXNKc/8oEp/n8WIqWSAxPEl318iHx+gEndyPeLuf2H3/jnZ7exDdxcvWmPVFzwW6ZGikga4A9ocABLwmYCjJvuj/PxslnxOFe21RBS90Qb+L+16Zen2a3BA31pUcfePQ2hq545U+jnHq4Dz8KnOWuTGQsaKRBlIfe0OrvzJpAAAgAElEQVQAAl4X+O4rMuKznKiv1xdX4IK3DZ8/PD16uKyPeEVyiE+XPbzzWMdRmwJTcS8kTgXmTMty9yZ7ZxYaqXccsQoEIKAgAWOpMZHzzqVENEpBYfkklL7hiWF3jcwfGy6Ey/qIt6xlV8Or+57d75NgArAoI2plmsirCqYWBOwUJzTSABQeW0IAAr4XcN6EJGhsi0XO9b7fLbA7ZCROT/ht/xmSj1n7IcrX9i8r2928I2ieECMw4dWCjMLXAlUFNNJAyWNfCEDA5wL5xfnaKs3ehSLnl/h8swBvcOuIe4cNiRoRKyeMY51H2p/e89Bukbic4Yof4zztyN6pvWrNJWvaAhEsGmkg1LEnBCDgNwHnU2QOlu69jxP/rd82DcBGKZGp4XeNzB8jkCDrLN53a/5+wHrio7oAhOqbLUX2ojmryOybxXteFY00EOrYEwIQ8KvAyUPvS3Lv4gKf4deN/bzZdQP/MOC8hGlJcrZtc7R2P7brrzuC57mlrHHwIN2V+enmTjn5e3MMGqk3NbEWBCCgaAFDSfbNxChP0UF6EFyUJlrzwNjHx0YIUWFyltlYV3zkjUOFh+WMVcMYgdjSAn1Rob9jRSP1tzj2gwAEAipgKM4xkMBvDWgQPtz8wqTL+l6R8ntZ3y11cIf49J6Hdx7vCo6vwzBitTFtCVe/cPkLXT4k/tXSaKT+1MZeEICAIgSMpbkzORfvUEQwXg5CwwSaP+rRMX3D+0XKWXp38/aG1/Y/FzRfhxFI80iBfu0/5OTurTFopN6SxDoQgICqBPKsubeIJBpVFbTMYM+IPauXMf1m2Qf5v1qxtKysdWeQfB2G7THri2bKpPLKMDRSrzBiEQhAQI0CRuuMBzixoLyb95Zh9wwdGjMyTk5djnYebntqz0N75IxVwxgto7yVGZZt/ooVjdRf0tgHAhBQnIDzqzEHrGVPEKMLFBechwGlRg4I/8vIh8YKJMj69/zb1ZYDG2o/CYqvwzCiD0x6ywMeEsqeLgtY9moYCAEIQEBlAvk7r9MdqA17joifo7LQJcOdMcg44Nz482V9HeZwZ3Xbkj35QfGulBHZHd1hV6yevtov/2GARir5UsQACEAg2AXmfT0vqru15VXOaHQw5RqtjdHcP+bxcRFCpFYyL0Y8f/tftjbbmx2SY1UwgDF6xZRhWemPUNFI/aGMPSAAAcUL3LHZENfY1GUiRgMVH6wLAV6YdHniFSm/GyRnyqJd925tsNXb5YxV+hhGVJsmjrwyPyvf5/mgkSr91YD4IAABvwnMtc5Kd5D9b5woym+b+ngj59dhFoxePCZBl9jj12HsvFu8d+tNm30cjl+XFwS2oGBa0ce+3hSN1NfCWB8CEFCVgKF4RiYJbImqgpYIdlzshF5zhtw23HlU4umGflFnPbr+0Jqgeej3d3myLWZ90Vxf1xKN1NfCWB8CEFCdQJ41Z55IfJ7qAu8h4CtTr02+oN+l/U81pLbrWPtz5U/sbbO3BMXPR3+eI8s264vKfVlLNFJf6mJtCEBAlQLOd25zNuQuCbZnmU5NvCB+etIV/XtrY3XOwtjELseu5q0Nrx9afajT0SmqslgSQTPi75j06x71ZW5opL7UxdoQgIBqBWb9Z1a0JsL+NyKS/cBsNSQrEKM+uj5hMWFx2pq2g512cgTHQ0lPi886BU3EZQVTC1p8VR80Ul/JYl0IQED1AvM2zBrULdpXc6IY1ScTwgkwkZaZsixrfUWARuorWawLAQgEhcAca06Gg/izQZFMqCbB6ZA503KNr9JHI/WVLNaFAASCRsBYmvtXzsXfB01CIZiIL8/fRSMNwRcUUoYABFwTyK80RBysshVy4rKe8+na6hjtFwGR3jBnWZ7wxV5opL5QxZoQgEDQCRhLc8cQFws4kfRxe0GXvfoTYkRNaRkjL8ln3j/pCI1U/a8PZAABCPhJwGCdkUfEbvbTdtjGywKM0V2mDIvVy8sSGqm3RbEeBCAQtAInH7tWuncFEZ8QtEkGcWKM0SemDMt8b6eIRuptUawHAQgEtUDeZzNSRYdgIeLRQZ1oMCbHWXdUYtxFy8cub/Vmemik3tTEWhCAQEgIGEqyryJGD4dEskGWpIbRo6syLO94My00Um9qYi0IQCBkBIzWnFc58bNDJuEgSZRx2mzKtPzRm+mgkXpTE2tBAAIhI/D9I9csuItXfSXXMc1VKzLWHvFW5Gik3pLEOhCAQMgJ5FlzbxFJNIZc4qpPmC8369cVeCsNNFJvSWIdCEAg5AQMxYYIJnS9zolSQy55dSd8wKy3XOutFNBIvSWJdSAAgZAUyCvOnioKtCwkk1dx0lrSzlqpX7PbGymgkXpDEWtAAAIhLWC05jzNiWeFNILKkmciW2fKKlrijbDRSL2hiDUgAIGQFpj7cXaSQ0tvcEaRIQ2hquRZnSmj8FLGmMfPY0UjVVXhESwEIKBUgWA+PjBKE61JjEjSHe2o6ewSuzxuPMqpoWA06wu3exoPGqmngpgPAQhA4P8LfP+EmHc48b7BAjIyZnT0NQNyB/WLSI5y5iSSKFa2ljevqzJV1dlqu9WeJ2PMbMooetHTPNBIPRXEfAhAAALfCxiLZ1zLBbYgGEDOjZ8Sl502Zwjn/Fd9osvRaX++/PE9RzprutScK+NUacq0XOdpDmikngpiPgQgAIHvBfKL87UHWNl6YjRQzShx2jjtgjGPjtUJEad9ZNzB9v3Nz+19rFzNeTpj14YLv105ubDakzzQSD3Rw1wIQAACvxAwlGRfRIweVzPM1MQL4n/XPyddKodXKp7Zs7d1d5vUOCVfZyItM2VZ1noSIxqpJ3qYCwEIQOAXAs6PQo2lOWuIaJRacbIH5g08J2FKP6n4/9vw+THLQZNH7+ak9vD5dU7fmjMt8zzZB43UEz3MhQAEIHAKAeOGGf/HRfaSWnEuT/ld8vSky/tLxd/qaLXlb79zu0jqvZGXERPDbDEXrbhoRZNUvqe7jkbqrhzmQQACEOhBwFiSs5wzfq4akSbGndt71uB5w+XE/tr+ZWW7m3d49fmecvb15hgN4w+vylj3vrtropG6K4d5EIAABHoQMFhzzyASTWpECmM6tuiMpWfqhHCNVPzfNmw6vvbgykNS45R8nTH6xJRhme9ujGik7sphHgQgAAEJAWNJ9muc0UQ1QuUNuWXwuN4TE6Ribxfbux/efsc2Bxelhir2OuPUkZZovzB/7HqbO0GikbqjhjkQgAAEZAjkbcieKorqPNB+Quy5sbPT5w2TkSYVVL64d0fTlhY5Y5U6hpHmzyb92o3uxIdG6o4a5kAAAhCQIeC8g3fOhty/i5wPkTFcUUO0pGGPjn9ufE/fJf0h4C0N/z2x+uCrVYpKwMVgBKI3CvSWJ1ycdnI4Gqk7apgDAQhAQKaAsTj3Si6I+TKHK2rYH9JvTDszdpLkkYedYof9we23b1Xzx7vE6YQ503KZOwVAI3VHDXMgAAEIyBTI5/nag6Vl73KiJJlTFDNsfOxZvQ3pN8u6e3f1gZfLtzR+06yY4N0IxN1nlKKRuoGNKRCAAARcEciz5uSKxO90ZY4SxmqYQIvOWHZmhBB12qMCf4hzW9M3tebKlw8qIW53YxAYe7Ego8js6nw0UlfFMB4CEICAiwLzvp4XZWtteZ8Y9XJxasCHz0qbN2hin3MTpQKxiV3Oj3e3dXO7ek9nILbJrC+6VSrXX15HI3VVDOMhAAEIuCGQZ829RSTR6MbUgE4Z23t8rzlD/jxCThBrD66o+LbhK7dPCJKzh2/HsM7BGSMy81m+3ZV90Ehd0cJYCEAAAm4KGIoNyYx1/ZMzdd3kKRCjhWcsHR+tiQmTSn1X09a6lZUvHJAap+jrIptrzira4kqMaKSuaGEsBCAAAQ8EjNac5zjx8z1YIiBTcwbNGTgp/jzJQ+xtos3xwLbbttrJodqPdxmjV0wZlpWuQKORuqKFsRCAAAQ8EDAUz8gkgS3xYImATB0ZMzbmT8PuHCln85WVL5Ttatqq2rN3GdHXJr3lRjm5/jAGjdQVLYyFAAQg4IGA88HfB4Wy9ziR5HczPdjGJ1MXjnv2jF7a3jqpxTfWlRx949DaGqlxSr3OiGxpfe2ZrhwXiEaq1GoiLghAICgFDCXZNxOjPLUlJ/cZpbVdx9of233/brXl99N4BZHfWJC17mu5OaCRypXCOAhAAAJeEMj7bEYqt7N31XbT0YTYc3rPTv+TrMMZFu+6d1udrb7bC1yBWULkK81Z616RuzkaqVwpjIMABCDgJQGDNedFIj7ZS8v5ZZlwIZw9esbzEzRMI0ht+E7NugOlJz6ukxqn3Otsi1lfNFdufGikcqUwDgIQgICXBOaU5l7o4OKTXlrOb8vcNnz+8PTo4b2lNtzdvL3+tf3PVUqNU+p1RmRPGxSemZ9u7pQTIxqpHCWMgQAEIOBFge/P3/0XJ4r34rI+X+qS5Kv6XZJ89UCpjWxip/3+7X9W9SH2TOC3mKat+1IqV+d1NFI5ShgDAQhAwMsCeaXZ94icbvDysj5drn/EwIi7Rj08Vs4mr1Y8s6esdXebnLFKHMNEZjZlFb0oJzY0UjlKGAMBCEDAywKG4pwJJHCXvvjv5RDcWm7h2GfG9QqLDZeaXHrioyPv1Pz9sNQ4pV5nRDtMeotBTnxopHKUMAYCEICAlwWcD/3OK819nxOXPDHIy1t7tJzcQ+yPdta0PbXn4T0ebRbYyQ5ddK+sFZNWtEuFgUYqJYTrEIAABHwkYCjJ/gsxyvHR8j5Z9uw+k+Ny0+YOlVycEX94213bWhxNLh0AL7muHwfI/T4pGqkfi4KtIAABCPxUwGDNPYNINKlJJUobJTwybtkEgQTJ/vFGzdrKjSdK6tWU309jFYg9X6AvWi0VvySE1AK4DgEIQAAC7gk4P941lub8k4iS3VshMLPuHHH/iIFR6ZLPVt3RvKWuYP+Lqn0ajEDs4wJ90QIpZTRSKSFchwAEIOBDAUNx9h0k0EwfbuH1pa9M/V3SBf0uHyC1cLvY3v3Atj9vkxqn1OuMsyOmzKKrpOJDI5USwnUIQAACPhQwluaO4VyU/PjQhyG4vHRa9JDI24ffN0bOxMd337/9RNcxm5yxShwT1zt8+rKJ5saeYkMjVWLlEBMEIBBSAkZr9rucqL+akn7kjKXjYzS9JB/2vaxs8a6qjsoONeX201gZaf5s0q/diEaq1goibghAICQE1Pjx7uzBf0qbEHdOz4+DY8QX7Zy/rcFWp9o7d+U86BvvSEPirymShAAElCxgKMk9h5j4spJj/GVsg6IGR9w58sExzhumThf3gfZ9zc/vfbxcTXmdItYNZr3lTrwjVXkVET4EIBDcAvO+nhfW3dryKWcUqaZMcwb9cdCk+P9LPFXMXY5O+0sVT5VVd1TJOvhduXmzOrO+6BI0UuVWCJFBAAIQOCmQV5rzjMi5Xm0cv029IWVKYlaSlmk1P8R+uLO69e3qwkP7WsslTwVSQ77abrpi5XTLsdPFio921VBFxAgBCAS9gLF4xrVcYJLfWVQiRDiLEMbFndmLMYEabLXdwdJAf7DWCpq7V05bW4JGqsRXH2KCAAQg8L3AvNKZKTbucB7OgF8KExBIMBXoC19CI1VYYRAOBCAAgV8KGKzZbxDRYMgoS0Ag+rJAb7kFjVRZdUE0EIAABH4loMZD7EOijJxazJmWLDTSkKg2koQABNQsYCjOnUyCKOth0mrOU42xM4q4xqQ3HTpV7LjZSI0VRcwQgEBQCuTvvE53oDbsUyIeEZQJqjkpTn81Z1o+QiNVcxEROwQgEBICBmvOi0R8ckgkq6IkGdFrJr3lVTRSFRUNoUIAAqEpkGfNmSMSvyk0s1du1j09Ug0f7Sq3bogMAhAIQYG5G3LOtov8lO98QpBDMSkzon0mveUGvCNVTEkQCAQgAIFTCxiKDRFM6CrhRFoYKUiAs+62491T11+/3vHLqPCOVEF1QigQgAAEnAJGa7aZE42DhrIEdIL2dyumralCI1VWXRANBCAAgV8JqPGxaiFRRpHfbc5a96ujAvGONCSqjyQhAAE1CRiKZ2SSwJaoKeZQiFVg7MWCjCIz3pGGQrWRIwQgoGqBOzYb4hqbuz5WdRJBGDxj9L4pw/IwGmkQFhcpQQACwSdgtOa8yYmnBV9m6s2IcdptyrTMQiNVbw0ROQQgEEICeaU5D4qcXx1CKSs+Vcapw5RpmYZGqvhSIUAIQAACRIaS7KuI0a8+RoRNgAXE8CvNWeajP40CNxsFuCbYHgIQgMCpBOZsnDnM0e1YBx1lCWg1wq0rpxZuQiNVVl0QDQQgAIFfCeQX52sPsL0biPEw8ChJQHjWrC8sQiNVUk0QCwQgAIHTCBisOWuJ+Ci1AoUxHRvbe0JvrUbDWmzN9rLWna1qzeWHuBnR2ya9ZTEaqdorifghAIGQEFDzDUeXJf8mSd/v4mSdEPHjUYe1Xcc73jn896pdTVtV3FDZFrO+aC4aaUj8FUSSEICA2gWM1twbOIn3qC2Pa/rPSJmWOD31VHHbebe4at/ze8tad7epLa/v4mWNZn3RdDRSdVYPUUMAAiEm8MfPcyZ02/lKNaWdGJ4YtmD0Y2cwYqe9mfVY5+H2J/c8tFtNef0sVjF8qjnL3PmTj3tVmwoChwAEIBDUArP+MytaE2G3qinJK1OvTb6g36X9pWJetvfRnVXtB35sRlLjlXQ9Qhd+7SvnmQ+gkSqpKogFAhCAwGkEjNYZ73BiA9QCdP3APwyYnDAtSSred2teP2g98WGt1DglXv/lV2DwPVIlVgkxQQACEPhewFia/STndKFaQOQ20o11JUffOLS2Ri15/TROgQuLCzIL38Y7UjVWDzFDAAIhJ5BnzZkjEr9JLYlfmHR54hUpvxskFe/elt0Nr+x7Zr/UOCVeZ4ytMmUUvYxGqsTqICYIQAACvxDI25A9VRRpmVpgxsee1duQfvNwqXidX4V5bPd9u6TGKfI6Z/8yZxY9hEaqyOogKAhAAAI/F5i7KXeAvUt8Ry0uSZHJuvkjHz1DKl4Hd4j3bP3TZqlxirzO6VtzpmUeGqkiq4OgIAABCPxcwHlU4EGh7DNO9OPBBko2EojRUxNenSiQIEjF+fju+7ef6DpmkxqntOuMsyOmzKKr0EiVVhnEAwEIQOA0Amp7NukDY54YE6/rGylVUFPl8r3bm75tkRqnwOuOwRkjz8tn+aIzNty1q8AKISQIQAACPxUwWrOXcaKpalG5aehdQ4f3Gh0nFe97h9+o+vT4Byekxinxurabrlg53XIMjVSJ1UFMEIAABH4hYCzNuZNznqsWmOsHze4/OT4jWSrer+o/P7auylQtNU6R10U215xVtAWNVJHVQVAQgAAEfi5gLJ5xLRfYArW4XNDv4r5Xpl6fJhVvReuepuUVSyqkxinyukgPmLMsH6CRKrI6CAoCEIDAzwUMJbnnEBN//N6i0n3GxJ4ZMzf9tpFScTbY6joX7Zq/U2qcEq8LjL1YkFFkRiNVYnUQEwQgAIFfCBiKDckkdL2nFpgEXd+w+8c8MV4qXpFEPn/rjd86+Ml7dlT1SyB6o0BveQKNVFVlQ7AQgECoCnDOWV5pjvMrMOFqMXjqzJcnalmY5Fdgni57aMeRjsNdasnrhzgZsc9N+qLb0UjVVjnECwEIhKyA0ZqzjhMfphaA+0YvHt03PClKKt41B1aUb278qllqnNKuC4ztL8gouh6NVGmVQTwQgAAETiNgKMl+ihhdoBageUPuGDKq97g+UvH++8g7hz469t5xqXFKu86Imkx6y8mHCeB7pEqrDuKBAAQgcAoBQ3H2HSTQTLXgXDswN3VKQlaKVLxf1G04tv7Q31T3FRjGibcet09ef/16BxqpVJVxHQIQgIACBAzW3Bwi8S8KCEVWCHK/ArO7eXv9a/ufq5S1qMIGRQrsopenFTWgkSqsMAgHAhCAwKkE8opzposCP3mXqBp+TYw7t/eswfMknwJT3VHV+mzZI2VqyOmXMQoCu75gWtF+NFI1Vg8xQwACIScwtzR7vJ1TgVoSHxSZHnnHyPvHSMXb0t3U9fDOu3ZIjVPidcY080wZa79FI1VidRATBCAAgV8IqO27pNHaXppF45ZOkCqk87uk927507cicamhiruuYcL8VRmFn6CRKq40CAgCEIDArwVOPk6NlX3BmXpuEpX7XdJFOxdsa+iu7VZb3QVGjxdkWN5EI1Vb5RAvBCAQsgJGa84HnHhftQA8OObJsX10CRFS8b5U8fTufa1l7VLjlHadifSKKcuyEo1UaZVBPBCAAAROI2AoyVlNjEv+3FEpgLePuH94WlR6b6l4iqpW7fu6/otGqXFKu85Ets6UVbQEjVRplUE8EIAABE4jYLRmL+FEmWoBMqbfMviM2IkJUvH++9jbVR8deV91zyVlRB+Y9JYH0EilKozrEIAABBQiYCzJvpczOnksnRp+/X5ATur5fS+QPJRhY13J0TcOra1RQ04/j5FtMuuLbkUjVV/lEDEEIBCiAnmlOQaR81vVkv4F/S5NvDL12kFS8e5s2lq/qvIF1R3KwIiVmfRFuWikUhXGdQhAAAIKETBYcy4n4o8oJBzJMM7qc27szLR5kgftV3ccbHm2bNFeyQUVNoARHTPpLVegkSqsMAgHAhCAwOkE5n6WO9nuEF9Ui1B6zPDI24bNl7w5qsnW0LVw1z2qO5SBEdlMessUNFK1vCIRJwQgEPICc62zRtvJvkYtEL21cdr8cUvOlIpXJId495Y/bZYap8TrfcKSp6GRKrEyiAkCEIDAKQRmfzK7v6DtfldNOEsmvDpRII3kA77zd9y9tdneaFdTbs5YBQ3/DRqp2qqGeCEAgZAVuHnnzTHttQ0lagJ4aMxT4+J08eFSMT+w/fYt7Y42h9Q4pV1nTJiNRqq0qiAeCEAAAqcR4JyzvNLcLzlxyXd4SkE0pN+UNj727B5PY7KJNseCbTdvUUrMrsTBBH4LGqkrYhgLAQhAIMACBmvOx0Q8LsBhyN5ezp27X9V/dmxdlVl1D/c+iSDyu9FIZb8cMBACEIBA4AWM1pw3OfG0wEciP4LZg+elTYg795TvShtt9V3Pli/a3drdorqPdZ0CGkGDk43kvxQwEgIQgEDgBYwl2QWc0fjARyI/Ai1p2KWp1yRN7XtBsk7QaZwzOXFe0bKnaU3VigNqbaLOPAQuLMY7UvmvBYyEAAQgEHABozV7GSeaGvBA3AggShstJIWnRvQK66XZ17q3vc3eqsp3oT9PXXgWjdSNFwOmQAACEAiUgLE0eyHndEWg9se+v2ijxF5GI8WrAgIQgICKBPKs2XeJRNkqCjmoQ2UiM6ORBnWJkRwEIBBsAsbi7LlcoBuDLS+15sOIrUMjVWv1EDcEIBCSAkZr7g2cxHtCMnkFJi0w9i4aqQILg5AgAAEInE7AWJpzNef8QQgpQ4Bx+hCNVBm1QBQQgAAEZAkYS3Mu4ZwvljUYg/whsAGN1B/M2AMCEICAlwSMpdl6zukZLy2HZTwUYERfo5F6iIjpEIAABPwpYNww4/+4yF7y557Y6/QCjGgHGileIRCAAARUJGAozplAAl+popCDOlRGtA+NNKhLjOQgAIFgEzAUZ48igdYGW15qzYcRHUYjVWv1EDcEIBCSAobiGYNJYG+EZPKKTJo1opEqsjAICgIQgMCpBQzFhmQSut6Dj1IEWCcaqVJqgTggAAEIyBC4Y7MhrrG562MZQzHETwJopH6CxjYQgAAEvCGQX2mIOFDV9Zk31sIa3hFAI/WOI1aBAAQg4BcBzjkzlub81y+bYRNZAmikspgwCAIQgIByBIzW7M85UbhyIgrtSNBIQ7v+yB4CEFChgNGaXcKJYlQYelCGjEYalGVFUhCAQDALGK3Zn3Ki3sGco5pyQyNVU7UQKwQgAAEiMlhzPibiccBQhgAaqTLqgCggAAEIyBZQcyON0kYLE+P+L25I9LAYO+/mRzpr2r+otdZ3iV1cNoDCBqKRKqwgCAcCEICAlIDRmv0hJ4qXGqe06yNiRkXnpM1N7x0W97MbpZpsjV1/P2Sq3NOys01pMcuJB41UjhLGQAACEFCQgNGa8wEn3ldBIUmG0kcXr50/atFYnRCuPdXgTrG9++ndj+xu6K7tllxMYQPQSBVWEIQDAQhAQErAUJL9b2KUKDVOSddnp/1p0IQ+5/QY8zf1X54orHqtSklxy4kFjVSOEsZAAAIQUJCA0ZrzL068n4JCkgzl/jGPj0nQJUb2NLDeVtv56K4FOyUXU9gANFKFFQThQAACEJASMFiznYfWJ0uNU9L1JRNWnCWQ0GPPYYzxOzfP+VZJccuJBY1UjhLGQAACEFCQgLEk55+c8RQFhSQZypIJr04USCNIDVyw7eZvbaJNVXfwopFKVRXXIQABCChMwGjNfpcT9VdYWD2G88T4lybohHCNVMwPbL99S7ujzSE1TknX0UiVVA3EAgEIQECGgNGa8w4nPkDGUMUMeWz88+MjhKgwqYAe2XH31kZ7o11qnJKuo5EqqRqIBQIQgIAMAUNJ9tvEaKCMoYoZsnDcs2f00vbWSQX0+O6/bjvRdUJVX4FBI5WqKq5DAAIQUJiA0Zr9FicapLCwegznoTFPjYvTxUs+sebpsod2HOk43KWm3NBI1VQtxAoBCECAiIzW7H9wolQ1YTww5omx8bq+EVIxP7Nn4c6azkOdUuOUdB2NVEnVQCwQgAAEZAio8Xuk941+bEzf8H49fo/UmfqyvY/urGo/gEYq43WAIRCAAAQg4KaAsST7I86oj5vTAzLtvtGLR/cNT4qS2vy58sd2HWzb3yE1TknX8Y5USdVALBCAAARkCKjxwd7zRy0anRSRItlIX6h4cldlazkaqYzXAYZAAAIQgICbAgZrzmdEXPLnjW4u75Np9456ZFRyRGq01OIvVTy5ezxHAdUAACAASURBVF9rebvUOCVdxztSJVUDsUAAAhCQIWC0Zm/iRKd8ioqM6QEZcveo/FGpEQMkG+nL5U/vKW8rU9Xj1NBIA/KSwqYQgAAE3BcwWLO/dn92YGbeNerhkf0jBsZI7f5qxTN7ylp3o5FKQeE6BCAAAQi4JzDv63lhtraWL9ybHbhZd418cET/yLReUhGs2L+sbE/zjlapcUq5zojseEeqlGogDghAAAIyBO7ceGdkQ/fRDTKGKmrIX0Y+MGJA5GDJRvra/ufLdjdvU00jJeKdaKSKeqkhGAhAAAI9C9y2Kbd3S5f4qdqcbh9x//C0qPTeUnEXVL6wd0fT1hapcYq5zqkFjVQx1UAgEIAABKQFZn88O0EI6/6P9Ehljbht+F+Hp0cPlWyk5gPL925r/FY1jZQR1aORKuu1hmggAAEI9Cgw9+PsJHsYva82pluHzR82JGZ4rFTcqw+8XL6l8ZtmqXFKuc6IjqGRKqUaiAMCEICADIG5xbkD7IL4joyhihpy64h7hw2JGiHdSCtfLd/S9F8VNVJWjUaqqJcagoEABCDQs8Cc4pnDHIJjndqcbhs+f3h69HDpj3Yrl5dva/pWNY2UiA6gkart1Yh4IQCBkBaYW5o93s6pQG0It4+4b3ha1BDJRlpQ+eLeHU1bVPMzUuJUjkaqtlcj4oUABEJaYO5nuZPtDvFFtSHcOeL+EQOj0iW//rKy8oWyXU1b1fP1F852oZGq7dWIeCEAgZAWyCvOmS4K/Am1IQTxgQxb0UjV9mpEvBCAQEgL5Fln/kYkx0NqQwjWIwIZ0ddopGp7NSJeCEAgpAXmlObMcHB+t9oQ7hm5cFRKZH/JQ+uX73t6d0VLmWqe/sKIfYZGqrZXI+KFAARCWsBYnD2XC3Sj2hDmj3pkVJKMx6i9WPHE7v2tFapppAJj/0EjVdurEfFCAAIhLWAsyfkzZ3y22hAWjHp0dL+IZMkHez9f8cSuA60VqnmwN2PCm2ikans1Il4IQCCkBfKs2QtEomvVhvDX0YvHJIYnRUrFvaxs8a6qjkr1NFLOVqORSlUV1yEAAQgoSMBozX6UE12qoJBkhXL/mMfHJOgSJRvp0rJFOw91HOyUtagiBvHlaKSKKASCgAAEICBPwFiS8yxnPEPeaOWMemDME2PjdX0jpCJ6pmzhjpqOQ11S45RynZHwNBqpUqqBOCAAAQjIEDBac17lxM+WMVRRQ+4d9cioZBk3Gy3etWBbna22W1HB9xAME4V8NFK1VAtxQgACEPj/B7sarNlriWiU2jAM6TeljY89u29Pcbc6Wrof2n7nNlXlJvK70UhVVTEECwEIhLqA0ZrzDic+QG0OZ8ad3fsPg28a3lPc39R/cbywatUhNeUmaLQ3opGqqWKIFQIQCHkBgzXHSsQlDzZQIlRP70obu+s7n97z8O4OR4eoxNhPF5MujGaikaqpYogVAhAIaYH8ndfpDtRqN6oZ4fKUa5L0/S5OCWNhmh/y2NG8uW79wbXVLY4mu9pyYxRxDRqp2qqGeCEAgZAVMBQbkknoek/tABom0KCooVHhgo5VdRzoaLe3qepd6E/9IwV2ERqp2l+RiB8CEAgZgXkbs0fZusl5sxF+KURgcF/7FDRShRQDYUAAAhCQEjBaZ07h5Hheahyu+0eAEdlNestkNFL/eGMXCEAAAh4LGItzr+SCmO/xQljASwKs0awvmo5G6iVOLAMBCEDA1wLG0tyZnIt3+HofrC9PgBGrNumLfotGKs8LoyAAAQgEXECtT34JOJzPAmB7zPoifP3FZ75YGAIQgICXBfKsOfki8Su9vCyWc1OAEX1t0ltwIIObfpgGAQhAwO8CRmvOc5z4+X7fGBueUoBx+tCUabkPH+3iBQIBCEBAJQKGkpzVxPgYlYQb9GEyka0zZRUtQSMN+lIjQQhAIFgEDNZs52EMycGSj9rzEBh7sSCjyIxGqvZKIn4IQCAkBDjnLK805wtOpA2JhFWQpECaRwr0a/+BRqqCYiFECEAAAsZSYyLnnf+GhHIEBJHuKMiyfIZGqpyaIBIIQAACpxUwWHPPIBJNIFKOgPPJLyumWPagkSqnJogEAhCAwGkF8qy5F4skPgYi5QhEaLWXv3L+muNopMqpCSKBAAQg0EMjzZktEv8ziJQjMDhj5OR8lm9HI1VOTRAJBCAAgR4+2s2ZT8SvA5EyBBhRk0lvudAZDRqpMmqCKCAAAQj0KGCwZi8lomlgUoYA41RpyrSc/A8bNFJl1ARRQAACEOhRwGjNWceJDwOTMgR+OB4QjVQZ9UAUEIAABCQFjNbsEk4UIzkQA/wiIDD2n4KMovvRSP3CjU0gAAEIeCZwc/F1Me2CtsSzVTDbmwICkaVAb3kGjdSbqlgLAhCAgI8E5hTPHOYQHOt8tLzflj0j9qxeY2PHx/bSxobV2050bW36prGipazdbwF4cyORvWjOKjKjkXoTFWtBAAIQ8JFA3obsqaJIy3y0vM+X1Qk69schtw8ZGjMy7pebbarbcOzN6jXVDi76PA6vbsBpoTnT8k80Uq+qYjEIQAACvhGYU5ozw8H53b5Z3ferzk2/bfCY2DMTTrdT6fGPDr9z+O9HfB+J93bQMOH2VRmFn6ORes8UK0EAAhDwmYChOHsBCXStzzbw4cL9IwZG3DXq4bE9bWHndsejOxfsaLY32n0YileXDhPCcl6btnovGqlXWbEYBCAAAd8IGK3Zr3CiSb5Z3berXpb826SLkq8cILWLuXJ5+bamb5ulxinluqCJzCqYWtCCRqqUiiAOCEAAAj0IGK3ZH3CivmpEMqbfMviM2Imn/Vj3h5zerrYc2FD7SZ0qcuTUYs60ZP0QKw5kUEXVECQEIBCqAmr/6svtI+4fnhaV3luqfkVVq/Z9Xf9Fo9Q4JVxnxMpM+qJcNFIlVAMxQAACEJAQ+ONn2WO7HfQ3tUI9NPapsXFh8RFS8b9U8eTufa3lqvgqDCNWbNIX3YNGKlVVXIcABCCgAIE5pTOucHC2UAGhuBXCU2e+MlHLtILU5EW75m9tsNWp4mYjgdHaggzLj19Hwke7UtXFdQhAAAIBFMiz5t4ikmgMYAhub91LE6tdeMYzZ0otIJIo3r1l3mapcUq5LhA9VaC3vI53pEqpCOKAAAQg0IOA0ZrzNCf+440tasIaHDMs8s/DFoyRirnJ1ti1cNfdO6TGKeW6INIdBVmWz9BIlVIRxAEBCECgp0Zakr2eM0pXI9JZfc6NnZk2T/KJNTUdB1ueKVt08juZavilJe11K/VrKtFI1VAtxAgBCIS0wHWvX6eJSdJ+zom0aoS4oN9liVem/n6QVOw7m7bWr6p84cfGJDU+0NcHDwqfmp9u7kQjDXQlsD8EIAABCYF5G2YNson2t9QKde3A3NQpCVkpUvF/Xlty9M3qtTVS45RwnRHVm/SWi38aC242UkJlEAMEIACBUwjkFedMFwX+hFpx8obcOnhc7wmShzG8f+Stqk+O/euEGvJkRDtMeosBjVQN1UKMEIBAyAsYi3Nu5QL/2b+01YTyl5EPjBgQObiXVMxFVasqvq7/oklqnBKu//SB3vhoVwkVQQwQgAAEehAwWHNeJOKT1Yr00JinxsXp4sOl4n+h/MndlW3qOIxBIMFUoC98Ce9IpaqK6xCAAAQUIGCw5nxMxH/1DE8FhCYrhCUTXp0okEbyMIb8HXdvVcuTXwQuLC7ILHwbjVTWSwCDIAABCAROYO7H2Un2MHo/cBF4tnOcNk770LglMg5jcIh3b/mTag5jYAK/xTRt3ZdopJ69PjAbAhCAgM8FDMUzMklgS3y+kY82GBIzLOrWYQtGSy3faKvvemTXvao5jEEbLvx25eTCajRSqcriOgQgAIEACxiKZ9xIApsb4DDc3v68hIw+1w2cPURqgUPtlS1L9y5Wx2EMnHW3He+euv769Q40UqnK4joEIACBAAsYrdnLONHUAIfh9vZX978hRZ94UarUAtuavqk1V758UGqcEq4zYhUmfdGMX8aC75EqoTqIAQIQgMAvBNT8MG9nKnPSb0sfG3tmvFRhPz3+r+r3Dr91TGqcEq6f6qsvzrjQSJVQHcQAAQhA4CcCsz+enSCEdf9HzSjzRy0anRSREiWVg6q+Q0rs5QJ90Sq8I5WqKq5DAAIQCLDAnNLc8x1cfC7AYXi0/VNnvjJBy7QaqUWe2bNwZ03noR/PrZUaH8jrWkFz98ppa0vQSANZBewNAQhAQIaA0Zr9J070RxlDFTmkb3hi2H2jHx8vFRwnzudvuXGznRxcaqwSrusE7e9WTFtThUaqhGogBghAAAI9CBit2a9woklqRRoXO6FXXvqtI6Tib7DVdS7aNX+n1DglXGdEttZj9mm/vGPXGRt+RqqECiEGCEAAAt8L5Bfnaw8Ie0uIeIRaUS5MujzxipTfST4+bV9rWeNLFU/vU0WenMrNmZbsU8WKRqqKCiJICEAgVATmfD5rnMNuN6s53+yBeQPPSZjSTyqHTfWlR1+vWq2Wx6d9YNJbHkAjlaoqrkMAAhAIsMCcDTmzHCK/PcBheLT9bcPnD0+PHt5bapF3a14/aD3xYa3UOGVc58vN+nUFaKTKqAaigAAEIHBaAWNJzrOc8Qw1Ey0c+8y4XmGxkk99ebViaVlZ685WVeQq8rvNWet+dceuM3Z8tKuKCiJICEAgFAQ45yyvNOdjThSr1nzDhXD2xJnLJzpzkcpBTU99YRRxjUlvOoR3pFJVxXUIQAACART4wyc3DGVa4e8BDMHjrdOih0TePvy+MVIL2cRO+4Jtt26VGqeE6847dtMyRk7NZ/kiGqkSKoIYIAABCJxGwFg841ousAVqBpqcMK3P9QP/IHlY/eHOQ61L9iwsU0OujFiZSV+Ue7pYJd96qyFJxAgBCEAgGASM1uxHOdGlas7lopQrEi9Lukbyqy/qOqyeTnvHrrNWaKRqfsUidghAIKgEjNbs9zlRkpqTuqDfpX2vTL02TSoHNR1WzwR6yTTNYsI7Uqmq4joEIACBAArM2zBrkE20vxXAELyy9YiYUdE3Drt7lNRiy/Y+urOq/YAqztgVON1WkGn5Ao1Uqqq4DgEIQCCAAnNKc2Y4OL87gCF4beu7Rz08MjViYMzpFqzuONjybNkidTzMm4h0tl4XrrhoRRMaqddeIlgIAhCAgPcFjNYZL3Bi53l/Zf+vmBieGHbTsHtGxIXF/+qYQ+f5ui9WPFXWYKuz+z8y13dkxKpN+qLf9jQTPyN13RUzIAABCHhVwFBsiGBC1yecSPIQA69u7MPFemvjtBf0uyRxfNzZCRHaCKHT3uXY0vjf+k9P/Pt4a3eLw4dbe3Xp0z3M+6eboJF6lRyLQQACEHBdwGidOYWT43nXZ2KGrwUEYksL9EWFeEfqa2msDwEIQMADAaM1525OfIYHS2CqrwRENtecVbQFjdRXwFgXAhCAgBcEDCXZbxOjgV5YCkt4UYARE9MG6TLy08093l2Mj3a9iI6lIAABCLgqMHdT7gB7l/iOq/Mw3g8CPTyD9Ke7o5H6oRbYAgIQgMDpBIzW3Bs4ifdASHkCjNg7Jn3Ro1KRoZFKCeE6BCAAAR8KGK05z3Hi5/twCyztpoDAhcUFmYVvS01HI5USwnUIQAACPhLIrzREHKwKrq+9+IgqIMuGCWE5r01bLXlwBBppQMqDTSEAAQgQ5W3ImS6K/AlYKE+AEXWliSP1+Vn5kgdHoJEqr36ICAIQCBEBY2n2k5zThSGSrqrSZERbTXrLHDlBo5HKUcIYCEAAAl4WuHPjnZEN3cc+IuK/OkbPy1thOTcEBCJLgd7yjJypaKRylDAGAhCAgJcFDCXZFxGjx728LJbzloBID5izLB/IWQ6NVI4SxkAAAhDwsoChJPspYnSBl5fFcl4SEO1hV6++cHWNnOXQSOUoYQwEIAABLwo4P9Zt7D76cTAdUu9FnoAvxYiOmfSWK+QGgkYqVwrjIAABCHhJIM+ae7FI4mNeWg7LeFlAIPZegb4oX+6yaKRypTAOAhCAgJcE8LGulyB9tAwThHzTtML35C6PRipXCuMgAAEIeEEAH+t6AdHHS+iY5qoVGWuPyN0GjVSuFMZBAAIQ8IJAXknuZSITF3lhKSzhAwFGVGPSW652ZWk0Ule0MBYCEICAhwJGa/YrnGiSh8tguo8EGKd/mDItj7iyPBqpK1oYCwEIQMADATwyzQM8v01lD5n1Rf9yZTs0Ule0MBYCEICABwJ51txbRBKNHiyhuKl9dAnaSQmT+6RFDo3pcnQ6ajoOtG848WldN7dzxQUrI6AIrfbyV85fc1zG0B+HoJG6ooWxEIAABNwUuO716zQxSdr3OVFfN5dQ3LQJcWf3njEob4hOCNf8NLhme5PNVPlSxcG2/R2KC7qngDgdMmdarnE1ZjRSV8UwHgIQgIAbAoaSmdOIOZa6MVWRU9Kih0T+efhfRzNip+wjLfZm27K9i3c32Ookn56ilAQZ0dsmvWWxq/GgkboqhvEQgAAE3BAwWrOXcKJMN6YqcspNQ+8aOrzX6Liegis5/uHhfxx+XfbXSAKdKGPsflNG0X9cjQON1FUxjIcABCDgosDsj2cnCGHdzhtYfvYRqIvLKGZ4H1289sGxT40nTj32kKOdh9ue2vPQHsUELhGITqRLV2RZal2NF43UVTGMhwAEIOCigNGa/QdOdJuL0xQ7XJ94cd+r+1+fJhXgsc4j7U/ueXC31DiFXD9g1luudScWNFJ31DAHAhCAgAsCRmv2W5xokAtTFD30lmH3DB0aM7LHj3WdCexvLW96seLJCkUn80NwIr1hzrI84U6saKTuqGEOBCAAAZkCRuvMKZwcz8scrvhhEZoIYdG4587UMI0gFexHR/9R/e+j/zgmNU4J1xnRvSa95VN3YkEjdUcNcyAAAQjIFMizZr8kEv2fzOGKHzYp/ry4nEFzhsoJ9Omyh3Yc6TjcJWdsIMcwIvv/a+/O46Oqzj6AP+fOTDLZyEoCCSELhLCodS8iJETFvdbWpYSlhrC0pVLXt1jXsdYqfVupBfUthWQEkqC41NaqtSoQkCpQQAhrgAQIELLvk9nued+Lr5YiMNu9M/fe+flH6+czZ3me77n4MHfuPcfVb7x2xQ0rev2JA4XUHzX0gQAEIOCFwMyN04a7ne5VXjTVTJOSnJ9kXxR/WbKngFsdzbZnd/9it6d26vicfWYtrLzX31hQSP2VQz8IQAACHgRK102xiMRv1QuUgQn0zIUvfsssRBk95bSxdc2JN45WHPfUTg2fMxL+u7yw4jV/Y0Eh9VcO/SAAAQicR2DOmuIUp0DvciKPRUcrkKMGXBA7O/f+fG/ifaX2v/fW9u7z61apN+PL2cbXY9POnBuFVM7VwFgQgAAE/l+gZG3xXGJUqieQuzPvGTI2eUKap5x63N3OJ3c+sMNTOzV8zogdKC+snBxILCikgeihLwQgAIGzCFjqSsyHj9ilfXXj9QT05OjfXJAQkRTpKadt7ZuaVxxecsRTOzV8LpBQXlZY8VIgsaCQBqKHvhCAAATOIjCjeuqdnIuP6AlnaHS2+f4Rj4/xJqcV9Utqt3Vs6vKmbejbCDOshRU7A4kDhTQQPfSFAAQgcIaAhVuE+nX73iRGmXrCuTX9zkHXpN6Y4SknJ3e6H99x3xdO7lD9MWqMU3tWYf4NFmYRPeV1vs9RSAPRQ18IQAACZwiUrCm+kQT6ld5g/iv/6ZGDozJiPOW1r3t3+x8PvnDIUzs1fM44/aV8YtUvA40FhTRQQfSHAAQg8P8CX545anqdE/e4D62W0BJNKaYnL1hwIefcY814s6Gy7tOWT9q0kJ9RMDy8dMLKtYHG6hEl0AnQHwIQgEC4CMxYP/VWLooWveU7afAtA29K+57HvYI5cf7Urge/6HF2u1VvwJkzMSLtmoXjFgZ8+DgKqepXGwFCAAJaELCssRgPC/ve5EQef0fUQj6nxzh/5C9HpZnToz3FfbSvrnvh/mf3e2qnis85bbROrPqZHLGgkMqhiDEgAIGwFyhdO/V7IhMf0xuEL0/r/r3xnaN/b/xrkxYMGBOeLy+oeEOOWFFI5VDEGBCAQFgLzNkyx+To7X6biAbpDeKuzHuGXOXFJgyMMf7r3Y/WNNtPOrRgYHTSLUuvq5LlZBoUUi2sOGKEAARULVC6rvhukejnqg7Sj+CkvXUtF7xwUYwh1uSpu5Zu6zKiXeWFVfd4ysnbz1FIvZVCOwhAAAJnEZj33rzInpiWdzhRit6ALo6/Mv6HOXOGe5PX2w1V9etbPm71pm2o2xgY++2ygkrZTuVBIQ31imJ+CEBA0wIzqqdO41y8X9NJnCP4Obn3544ccEGip9xc3OV+quaBHTa3LaCNDTzNI8fnjJhoEvnNS4qqWuQYTxoDhVQuSYwDAQiEncDMjTOTRGffW5woVm/Jx5riDJYxv71IIIPgKbcdnf9qtda9Uu+pnRo+F4g+Lyus+qmcsaCQyqmJsSAAgbASmLFuyuOc+O16TPqa1JsG3pp+h8d3R6Xcl9Yt2re784seTThweto6seqvcsaKQiqnJsaCAATCRmDWuumj3Ny1nDN93tn7+cinRw4ye94SsMvZYbfserhGCwvPiBxRouv6l4tWy1r0UUi1sPqIEQIQUJ3AjLXFZZzRRaoLTIaAMqOyzA/kP+HVSS/rmz86/vaxVSdkmFbxIRijj8sLqubLPREKqdyiGA8CENC9QOnaqTeJTHxGr4nemTktY1zyRI/vxErvjj6/9/Gak7YTmnh3VODsv8omVq6Re91QSOUWxXgQgICuBR7Y+EBUu6PxLWI0UI+JSu+OPnXB7y6KNcR5fHf0mO1w9+/2PaOJLQEZUU9Wiut6y5jVshd9FFI9/klAThCAgGICpeum/lQkcYZiE4R44IsTLhvww+yf5HkTxjvHXqtf1/wPTbw7KteRaWdzQSH15mpBGwhAAAJENOuzqUNc/Xw1Me7x25pWwe4YMjXj6pQij7d1XdwpWnY99EWfq0/1745Ka2FgbO6ygspNSqwLCqkSqhgTAhDQnYB0Fmdp9ZRXONHlukvutITmDn94+PDYkfGecqzp2t5admixJt4dZcRasgpG3GxhFkWKPgqpp6sFn0MAAhAgohnVU+/kXHxE7xjTs+YMvSTxSo+//5bVLd5f07m9WxMenCqtE6teUCpWFFKlZDEuBCCgG4E51dMGO7n7NU7k8UxOrSc9buDEpDszpuWcL48OZ1v/L3f9fJdWcmVM+GF5QcVupeJFIVVKFuNCAAK6EShdV/ySSPRt3SR0nkQEYnR//uP5Q6KyzrrtofTKy5KDL+7f07VD1k0NlLJlnOrKJ1bdpdT40rgopErqYmwIQEDzAjOri293c3pc84n4kEByRJJpStaPsnNihg04vZtDtLv/dvyto1o55eVU7CL7rbVIvpNezsaIQurDxYWmEIBAeAnM+qg4zWVirxPxmPDK/MtspWPUhsUNj4kxxpqO2Rr6trdv6mh1tDi1Y8H6BYP5prLxZYr+lotCqp0rApFCAAJBFihZW/wHYjQuyNNiOpkElHx39PQQUUhlWjAMAwEI6EtgRvWU73LOn9BXVuGVjclA9/xpfJXiD0WhkIbXdYVsIQABLwRK10/JFUVaTsTNXjRHE1UKsL3WwsppwQgNhTQYypgDAhDQjIClrsR85Khjuch5rmaCRqDfEDAw+tWygqo/B4MGhTQYypgDAhDQjMCMtcVPcka3aSZgBHoWAdabaEq7ceG4hbZg8KCQBkMZc0AAApoQmFk9+RY3Z09rIlgEeR4BttpaWLkgWEQopMGSxjwQgICqBX78z5Lsfkf/SiKG30VVvVKegzOIhsnLilYe8NxSnhYopPI4YhQIQEDDAiVrSsxMcFg58eEaTgOhnxJg262FlbOCiYFCGkxtzAUBCKhSYMa6KY9z4rerMjgE5ZOAwIUnyiZWvO9TpwAbo5AGCIjuEICAtgVmrp9yl1vk87WdBaL/UoB1ZKc4b7aMWe0IpggKaTC1MRcEIKAqgVkbpo51u/kfOHFBVYEhGD8F2AprYeWLfnb2uxsKqd906AgBCGhZQNp0gYu8jBOd9ZQTLecWjrEzIhcXI2+3Flkbg50/CmmwxTEfBCAQcoH7t5UkdHbZX+VEGSEPBgHIIsAY/a28oOopWQbzcRAUUh/B0BwCENC2wJwtc0yO3p5XiPjF2s4E0Z8uwF3iD1699rWDoVBBIQ2FOuaEAARCJlCydsovifGbQxYAJlZCYL21sOoBJQb2ZkwUUm+U0AYCENCFQOm6KTNF4j/RRTJI4t8CIptlLarcHioSFNJQyWNeCEAgqAKl1cV3iJx+EdRJVTRZjDHWkBo5ODLSECnU9dT22kU7V1F4AYQS/A0YzgwWhTSA5UNXCEBAGwIl66bczDh/mjMKu//mRTKzcNuQH6RfkXRVipEZDdKKObnT/UX71rbVR1896uQObRdUbnjAOnHl+lBeiWF3UYUSG3NDAALBFyhdO6WIM1oQju+KGphAPx720LBhsfkJZ5NvsNV3L9r/m1qtFlNGdLCsoHIyYyykfxlAIQ3+n2vMCAEIBEmgdG3xVZzRQk5kDNKUqprmexmTB08YeF36+YJ69/gbRz5p+qBZVYF7GYyB8aeWFaz6m5fNFWuGQqoYLQaGAARCKTCjetqlxN2LOFFkKOMI1dyZUVnm+/IfGyWQcN5dm1rsTbZf73l0d6jiDGDexmwx/3ZLkcUVwBiydEUhlYURg0AAAmoSmLlm+gWi4HqZE0WrKa5gxvJg/hP5Q6KyPO7a1C/aXI/umPdFMGOTYy4DY79dVlC5So6xAh0DhTRQQfSHAARUJSAVUTdzLSJGcaoKLIjBXJN6fcqt6XdneTNlj7vH8eTO+3d601YtbRhRZ4Jp0K0Lxy20qSEmFFI1rAJigAAEZBEoWTv1CkbiEsYXgQAAIABJREFUC//3cFGULANqcJDEiGTj/JG/HBMhRHr1u/C/2v7ZVHFk2VEtpcqI/lReWPVHtcSMQqqWlUAcEIBAQAIlayZPJCY8R4ybAhpI451n596XM2rAhUnepCGSyF/c9+zuo7bD/d60V0MbRtQTGynctmhsRZca4pFiQCFVy0ogDghAwG+BGWum3soF8QkiOvWeZLj+c0nClQOmZ8/J8zb/T1s+OfFmQ+Vxb9uroZ3A2OKygkqrGmL5KgYUUjWtBmKBAAR8FihZM2UyCfxhnzvqrIPZYBZ+MfLZ0XGmeK+eUu5wtPc/v/ex3Q5ROxsyMGItWUMjbrfkWFX1DRqFVGd/mJAOBMJJoLR66myRiz8Kp5zPlevdmfcMGZs8Ic1bi7K6xftrOrd3e9teDe0YE54vL6h4Qw2xnB4DCqnaVgTxQAACHgXuev0uQ2yq8SHO6G6PjcOgQU5sXtS9w38+ihHz6r/pOzr/1Wqte6VeSzSMWENWwYg7LSz0742e6eYVupawESsEIKBvgbm75sb2tXQ8T8TH6jtT77KTtgF8ON8yMs2cHuNNj36xz/Xcrid2dbs7Q76RgTfxft1GpMetRVUf+NQnSI1RSIMEjWkgAIHABeasnz7UKboXcuJevSMZ+IzqH+GGQd9JvWHQdzO9jfStY5V1G5o/afO2vSracaotL6ycEuo9dc9lgUKqiqsEQUAAAp4EZlZPudIt8gXhvNHCmUapkYMiHhr51GgTM3n1tPLhvkNdL+7/da0na7V9Loh0f1lR1Qa1xfVVPCikal0ZxAUBCHwtULqu+G6R6KFwf73l9EtCuqX7QP6T+enmIR63AZT6ublbfGH/07tP2I7btXVphf68UU9eKKSehPA5BCAQMgHLGovxiLDvYZHozpAFodKJ78qcnnFVcuEgb8P7pOmDY+8ef6PR2/aqaSeyWdaiyu2qiecsgaCQqnl1EBsEwljgx59OT7U7Xc9yRpeEMcNZU784/ooB9+T+eDjn3Kv/hksnvPxmzxN7XOQO6bmdvq4jI9pQXlh1v6/9gt3eq0UIdlCYDwIQCG+B0vXF40WRWYj4WQ+kDmed5Igk00MjLaPNQrRXe+lKD+j8T+1v9+3r2dOrJTcmncQeYSheNm7lAbXHjUKq9hVCfBAII4E5W+aYnH0993LOp4ZR2l6nKv0uet+IR0cMicr2+mSbLW2fN1ce+dMRrydRSUNG7P3ywkpp20fV/4NCqvolQoAQCA+BWZ9NHeLuF5/jjEaFR8a+Z3l7xg/SCwZOGuxtzy5nh/03e5/a0+fudXvbRw3tGCcbCebvlxeUN6shHk8xoJB6EsLnEICA4gIzqqfcwDk9SsS92lRA8YBUOMEF8d+KK82dl0fcu8NGpJNd/lj7u321vfs0dUtXojcI7MVlEypXqHAZzhoSCqlWVgpxQkCHAnO2zIl29fU8JHL+XR2mJ1tKCcYE40OjLKNjDLFeHxH3j8a/NLzf+JeTsgURpIEYp7qswvxiNW4FeC4CFNIgXRyYBgIQ+E+BWRumjnW5xceJyOtXOMLVcF7e/LycmLwB3uZ/oGdv58sHfqv6h3TOlo9gMP64bPyKLd7mqoZ2KKRqWAXEAIEwEijdUBonuvseJGLfCaO0/U71lsF3DLo27aYMbwfodnU5frfXsrvL1aWp30Wl/BinD8snVj3qba5qaYdCqpaVQBwQCAOBWeunTXSL4iOceEoYpBtwiiPjxsTMHnZ/vrenunDi/E+HXty/t6umJ+DJgzyA9IBRpMl4x/9cvaIpyFMHPB0KacCEGAACEPAkMHPjzCTutP1cJH6dp7b4/EsBE4tgj49+boy3B3VLfTS7e5EGHzA6/TpFIcWfWghAQFGB0rVTb+JMfJgTxSs6kc4Gvz7tO6k3Dvb+VJf6voNdi/c/XyuSpjYv+mrV6rML8idr6QEjFFKd/YFDOhBQo0DJmuKRJLCHifjFaoxP7TE9mP9k/pCooV5tSN/r7nW+sO/p3e2ONm2dMfrVInDhJ9aJFZvVvibnig/fSLW6cogbAioVkG7jik7bXOL8u5x5986jSlMJaVhPjF4wJjEi2ewxCEa8/NDLtTs7t3Z7bKvOBv+wFlb9Qp2heRcVCql3TmgFAQh4ELBwi/Hw+trJnPPZ2Fgh8MvlZyN+kZcdPczjKy/rmz868faxVccDnzH4I2j5ASPc2g3+9YIZIaBrgZK10yYQuR8kRpm6TjSIyV2TeuPAW9PvHHq+KY/ZDnf/fv+z+91cDGJk8k0lEPtDWWHlcvlGDM1I+EYaGnfMCgFdCJSsm5JHRPcR8bG6SEhFSUgb1N+b90heVnTuWb+Vdrk6HYv2P7e31dHiVFHYvoSyN1vML7EUWbT5u+5pmaKQ+rLsaAsBCJwSKF0/JZdEmoPXWZS9IGKMcYa7MqdlXhh/adLp75I22Oq7y+tePqTdh4uYk7vd01699rWDygoGZ3QU0uA4YxYI6EKgZM3kbMEgzOYivx4PEgVvSQeZ0yOHRGdFRQnRhtqePT2N/cftwZtd/pkY0aLywqpX5R85NCOikIbGHbNCQFMCp444c4izibObpPOWNRU8glWVACOq6Tnpmrn67tWa28LwXJAopKq6xBAMBNQlULphcjp3sVmc0S3S5jPqig7RaE2AEdkFF5uy7NrKw1qL/XzxopDqaTWRCwRkEpizsXik00nTONEkFFCZUDEMEQkvWAsrKvVGgUKqtxVFPhDwU4BzzmZVT53g5nwaMbrUz2HQDQJnFWCctmUV5v/IwizafFfnPOuKQoqLHgJhLmCpKzEfPuq8lbg4hROd973FMKdC+n4L8H6jaJi8tKiiwe8hVNwRhVTFi4PQIKCkwJwtxSmOHrqbMboDG8orKY2xDQJbsGxC5Wq9SqCQ6nVlkRcEziIg3b4t3VB8JRfZ7YyoiBMZAQUBZQXY5vKCirmMMU0eS+ONDQqpN0poAwGNC8z6qDjNHUHfIZF9lzM+WOPpIHyNCDCivqioyLtfvtLaqJGQ/QoThdQvNnSCgPoFTm0iX72vgHOSvn1ehQ0U1L9meouQMfZMeUHlO3rL68x8UEj1vsLIL+wEZq2bnuMSXd9ljG7hjBLDDgAJq0KAEX1QXlj1uCqCUTgIFFKFgTE8BIIhMGPdjExOtknE2SRiJG0kj38gEEqB+kTToOkLxy20hTKIYM2NQhosacwDAZkFfvjxDzMEwTWJBLqOiI+UeXgM56fAxfFXDLgo4dKExMiUyHZHi2Nfd03n562fdvg5nAa7sX7uct+jlw3pvVkAFFJvlNAGAioRmLupZJDd7pjkdtMkYny0SsJCGEQ0wDjAMC17Tvbw2JEJZ4LUdu/pWH74j/W9rh7d7C97rkVnomApL6p4N5wuChTScFpt5Ko5Ael1lR/9c0q+007jSaDxnOgCzSURBgEPiRpqLs25d3hCRFLkudLd0fmvFmvdK7raY/bMXAXG3ikrqHwmDJb8P1JEIQ23FUe+qheYu2tubH9Tx1hREK8mEsYR8WTVBx3GAV6ccNmAyUNLcyOEyPNu6i+9R7lw76/2HLHV6fJ3Q0bsABcjSqxF1v5wuxxQSMNtxZGvKgVmrpk2XBTcV3NOVxOjb2GjeFUu0zeCuj7tO6k3DL5tyOmHbp8v8r8cf71+bdOHrdrIzvsopfdFBRebrrdTXbwVQCH1VgrtICCjwJzqaYPd5LqUk3CpyPm3iWiQjMNjKIUFjGRgU7JmZV6ceMVAX6b66OR7x9478ZbuNicQSHi0rLDiQ18s9NQWhVRPq4lcVCsgvZ5CzH4pEb+Uc7oMhVO1S+UxMOmhopm584ZlRufEeWx8RoOyusX7azq3d/vaT9XtRXrDWlT1vKpjVDg4FFKFgTF8eApImyK4RedlzCBcwjm/jBOlhKeEvrL25qGic2Xc6eiwP7f30V0O0aGnPWf3Zqe4Si1jVjv0tdK+ZYNC6psXWkPgGwLSKyk2m300iWw0MRrNiY8iRj5/WwGtugWkh4p+MLQ0N9LDQ0Vny0IkUXzlwO/2HezZ16fuLL2PjhH1uF2mqcuvXX7M+176bIlCqs91RVYKCUhHj7l72Wi3KI4mJhVONpqIf+O9QYWmx7AhEvD1oaLTw7S7+10rDy85tKtrh55u6bqZwH9WPmHV5yFaElVNi0KqquVAMGoRKFlTYo6ItGc7nCyXMcrlnA9jRKNwi1YtKxScOEzMyIqHzvT5oaKvomtztPQvq/vDgRO24/bgRBysWdivrYWVbwVrNrXPg0Kq9hVCfIoKWOpKzA1H3DmcOXM5sVyRUy4jyiVO6TgtRVF61Q8u/R46NWt2Tpp5cLQ/wdb11HYuq1tc1+fu1dVuRoyxivKCyoX+mOi1DwqpXlcWeX0tMP3v02MMZne6URAyRFHM4JxnEGMZRDyHE6WDCgJnClyTeuPAGwffPsTIjII/OptbNza93mA96uaiP91V24dxVp1VOOJhC7PoK7EAxVFIAwRE99ALzHtvXqQtqW2g2+nO4KKQwRilM05DRE7pjPEMThQf+igRgRYEBhgTjNOzZ2cNi83363dvkUT+3vG3jnzS9EGLFvL1JUbGaH+CcdDMcDnRxScb6T9CvnRAWwgES8Cd5Tb1NbWlCEQpIrEURpQi/UbJhFOvknz571/+f2ywYsI8+hWQTm25Y+i07BhDjMmfLHX6UNEpCkasxeDk9yy9ruqkPzZ678NK1hVv0XuSyA8CEIDAuQQihAh2R8a0IVckj0v1V0m/DxWdKqP9RjLMXlq4Yo+/Pnrvh0Kq9xVGfhCAwDkFsmJyo6YOnZWTEpka5S9TXW9t17JDiw/p7aGirzz+bx/dn5cXVn3ir0849EMhDYdVRo4QgMA3BG4YdFvqpEG3ZAhk8OuBImlAvT5U9DWWyBZbiyqtuHzOL4BCiisEAhAIK4HkiCTTlKwfZefEDBvgb+LSTkXvHX/rqB4fKvq3Cf+rtXDV0/4ahVM/FNJwWm3kCoEwFxgROyqmJHfucLMQZfSXos3RYlt5ZGldfc8BXZ4r+qUL25xdMGKehVlc/jqFUz8U0nBabeQKgTAWGBabHz07974REULEeQ/gPh/R1vbPmlYfXdFgF+162nj+P1JmRDWmmLi5Sy5fopt9gZW+7FFIlRbG+BCAgCoE5uX9Is/f27l9Yp/zjcMrD2/v3NSpimQUCkJ6V5QJUT8qG1+mp32BFdL697AopIoTYwIIQCDUAommFNOTFyy4kHPu8yY0B3v2dVbU/6m+w9Wh99uc9VECm/3KhMr2UK+X1uZHIdXaiiFeCEDAZ4GMqMzIh/KfusCXji7uEj9s/EvDRyffa/alnxbbMs5OGFx8FjZc8G/1UEj9c0MvCEBAQwK+fiNtsZ/sW1G/pO6o7XC/htL0K1RG1GIQhVlLiyoa/BoAnQiFFBcBBCAQFgLz8ubn5cTknfeVF8YY39hS3fTnhopjTu7S7QNFp/261yEINKdsQuWhsLgIFEoShVQhWAwLAQioS8DTU7s97h7H6iPL63d2bg2LB20YUY/JRD9eMq5qr7pWSnvRoJBqb80QMQQg4KfAyLgxMT/InJETH5Hw9WEdnDjf07mjbVWD9WiPs1tXZ4eem4n1k0j3Wosqt/tJiW6nCaCQ4nKAAATCSkAgRhclXDogKWJghHRe6I6OrZ3tzhZn2CBw5iTOHrAWVXwWNjkrnCgKqcLAGB4CEICAWgQYkYuL/BFr0aq1aolJD3GgkOphFZEDBCAAAQ8CjMjBuWG+deLK9cCSVwCFVF5PjAYBCEBAdQKMk40ZjQ+UjV+B86cVWB0UUgVQMSQEIAAB1Qhw6jaYjPOWXb2iRjUx6SwQFFKdLSjSgYAWBRIjkoxXJRcm58blxSUakyPbHC323V1fdKxr+keLSGHwOqdCi8aI2gSTYe6ycSsPKDQFhpXOyilZV4yv+rgUIACBkAhI73YWpk5KHT3gokSBhG8csH28v6H3pdoF+21umxiSALU9aWOEYJy7ZMKKI9pOQ/3Ro5Cqf40QIQR0JWAkA/t2yviEq1KKUtPNQ2I9JVfTtb217NDiek/t8Pm/BRjRES5GzrUWWRvhorwACqnyxpgBAhAgogRjgrEg9fqBlydfNTDWEGfyBeXZ3Y/ubHU0OXzpE65tGbEDbqfxp8uvW94argbBzhuFNNjimA8CYSaQGzs8unDgDalj4qXbt4Zv3L71huPNhoq6T1vWtHnTNpzbSIdyx0YKP1s0tqIrnB2CnTsKabDFMR8EwkDAwAS6IunqxKsHXpOaYc70ePvWE8lbxyrrNjR/gkJ6HihGtMUUE/fgksuX9HnyxOfyCqCQyuuJ0SAQ1gJDooaav508PulbiVckxxriIuTCeOnAgj0He2pRIM4Byoitie1NfnzRzYvscpljHO8FUEi9t0JLCEDgLAKJEcnGK5OuTro44fKkNHN6jNxIR/rqun+//9n9co+rl/EERq8um1C5WDoCTi85aS0PFFKtrRjihYAKBKIMUcKliVclXJp4RXJ2zPA4RowpEVaXq9Ox5ODC/cdtDfimdQawtG8uCcKvyidUvKuEPcb0XgCF1HsrtIRAWAtIv3teOOCyAZcljU3OHzA6wchMfj045A2idLTZrq7tba8dWX601xUuR5t5I/NlG0bUKRB/eFnhqm3e90JLpQRQSJWSxbgQ0InA8Lj86CsSrk4ek3hxYrQQ7dNrK74S9It9rq3tnzevbfqwucXeHD5Hm/kGVW+MFO5fOraiwbduaK2UAAqpUrIYFwIaFpDO7JwwcFJKwcBr0xIjks1Kp9LU39i3sXVt02et1W0O0YHf+s4BzjjbxIzm+WXjy7qVXhOM770ACqn3VmgJgbAQkH7/nJf3yIhB5gzZHxw6HVC6fbuva1dHdctHTXu7anrCAjeAJBkT3sxy5/23pcjiCmAYdFVAAIVUAVQMCQEtC8zOvS9n1IALk5TKoV+0uf7V9llLdfOHTc24feuRmRETSeALyydUVXlsjAYhEUAhDQk7JoWAOgWSI1JMj41+/iIlomuxn+zb2Lqu6Z8t69rsoh23b71AZkR9TKRHy4qqNnjRHE1CJIBCGiJ4TAsBNQqMH3hN0vczpuTIFZubu8X93bs7NrSsad7TtQO3b32AZcQaBJPwMI5A8wEtRE1RSEMEj2khoEaBsckTEu/OvCc3oNgY8SO9dT3b2je1bm7f2N7n6sURaD6CMkYfR7ldz7xctBp/+fDRLhTNUUhDoY45IaBSgZzYvKh5w+eP9ic86dbt9o4tbZ+3rm9rdbTg1RU/EKVNFrjIfm8tqlzlR3d0CZEACmmI4DEtBHwVMDEjizCYBc459bl73b7297b9vcPnD8+NzYv3pn23q8uxs3Nr26aWT9uO2Ops3vRBm7MLMKLjxIRHygsqdsNIWwIopNpaL0QbJgLRhhhDVsywqKHRWdEZ0UOjB0VmRCdHDjR/tRXf0b667o9Pvt+4o3Or7MdlDY5Kj5yT80BefERi5Nm47aLdvbd7Z/uW1o1te7p2douE54YCvSwZ0VpmiHoa74cGKhma/iikoXHHrBD4WkA68Do7dlh0RlR2dEZUZvQgc3p0YmRyBOf8vPvXSu9hvtVQVf9pi/zHi8UYYw3fy5icPjxudEK8Kd7U4+p2He872ru147PWbe2bO7FpgjwXsHQrlxFbVFZYWSHPiBglFAIopKFQx5xhKSDdmk0zp0cOisowD4kaGp0RNTQqLSojOtYQ6/dxYyKJ4rO7H9nZ7mhT7CV9KW4nd+Frp/xXbaPBaHxk2dUrauQfGiMGUwCFNJjamCssBJIjUiPSo4ZEDoxMM6dFDYqUbskmGVPM8RGJEUqckrK26cPjfzn++omwwNVPkuvjIoWnFo2tkP3WvH6ItJMJCql21gqRqkhAuvWZYc40p5nTzanmtMjkiFSzVDATI5Ijjcyo2KkoZyPY2bmttbzupXoV8SCUcwu4DQJbvHR8xUqcH6qfywSFVD9riUyCIHBJwpUDJqRem5YVnavYGZy+plHTta217BAKqa9uwW7PONWRIDyFp3KDLa/8fCikyhtjBp0IXJd288Cb07+fSVw6DlI9/6xuWFEnbbunnogQyekC0l65jPEVQ5Ndf7SMWe2Ajv4EglpIpYcWGAvqXa9TK+YSnTwUj+gjX3n+wDBiFMHMhihjlGA2mAWz9L/GaCFCiDREClFCv7tPbLY39h/pq++XZ8ZvjjLYnBH58EjLGCV+4wwk5k5Hu/3Xex7b5eQ4eiwQRwX71huMRgseKFJQWAVDs9J1U7YoWWTSogZHfGfwXRmZUVkxcab4s76XprSDtN/nSfuJvi/at7R/fPJvTchXPnE1rO9X2TTYjvS82bDyyOHeQ7JvDDB16OyhlyV9e6B8coGP1OXqcrxc+5t9TfZGfMsJnFPWERgnzgSqiOlJeWXRzYvssg6OwVQnwLadqOl8uXbBASUeb5d+TyrOKs01MqNBLZkf7qvrQr7yrIYa19ch9rte2PerPXIXl3l58/NyYvIGyCPn/ygu7hRP2hv7trdvat3QtKbNzvuxj63/nMr05HSUOHvaWlS5XZkJMKraBFhbZy9f3/zRibePrTouZ3Bxhnjj/DHPjI4Wok1yjivHWMg3cEU1r29d78GuRbXP1Qae5b9HeGDEYyMyo3Pi5BzT01jSXwpO9J/oO25rsDXY6vuO9tb1Hbcd7VfyjoqnmPD5+QWYyFZxilhsLbIq9jMD1kB9AqcKqYu73I988ZPtcv4BvWHQbak3DLotU30pS7tCI99A10XN6yvt+PP4zp9tt7ltsn1bu2Xw99OuTbt5SKBu5+rf4+52nrQdlwpl3zHbkb763kN9cn+rVip2jEvS02fHiBmeLi9YuRUe4SdwqpBKaS/c98yuo7bDsv0tambOvJwx8d9KUisp8g1sZdS+votqF+yp663tCyzLf/dOjkgyPTTSMtosRBsDGdMh2t3tjtb+Fnuz/aT9hK2h93DfYdvBPiV3JgokXvT1RoCtTjSl/WHhuIWy/zbvzexoE3qBrwvp7/Y9XXPMdlS2H8Vn5Pw0+8L4S5JDn+LZI0C+ga2M2tfXUvPg9i5Xl6wnpIyIHRUzc9jP8kzMdN7f/KVt+zocbY42R0t/i6Op/6St0d5kP97f2H+iv93RqthWfoGtKHr7KsCI7TMwvmBpQdUOX/uivb4EThVS6W/Jj+z4qaw/jE8afMvAm9K+N1SNXMg38FVR8/pK52L+es9jewLP8psjSL8NXz/41rTM6OyYaEO0ocfd42qzN/c39Z+0N/U39jfaj9mb7Y12N5ftrrISaWDMQAQ4dRsM7OXM8SPetDALFjoQS530PVVIPz75/rG/nXizUc6cpGOg5o96ZnSccYDfG3LLGc/pYyHfwGXVur7StmtLDi7cv6erpifwLDECBP5TQGDsnQFxEYt+f4m1AzYQ+EqAfd6wpX3JoYUHlfgb9Oj4b8VOHzp7WKTBHNDvSnIuV233ng7kK4+o2tZXesr19aPL67e2b+qUJ0OMAoEvBRinPQI3LlhWhJNacE18U0DxnY0STSmmmwd/b3BWTHZMQkSyWWDB312tX7S7T/Yd69vWubltQ7P8Zzeezop85V9fzonc3Cn2iw7RJTrcDtEu2kWH2yn9v9su9rl6XXV9tT27O7/okvt3UfxHI7wFGFEnJ/ZSdsGIP+M2bnhfC+fLXvFCCnoIQAACWhOQdibixN6OcMa+tGTSEtzh0NoCBjleFNIgg2M6CEBA3QKMqMZAxgVLC1co8sCaurNHdP4IoJD6o4Y+EICAHgUaidMfywsr38VZoXpcXuVyQiFVzhYjQwACmhBgHUSsLDvF8QaOOdPEgqkuSBRS1S0JAoIABIIhwIj6GLGVzn5DxYobVvQGY07MoU8BFFJ9riuyggAEziXAmZOIr06IjyzD+6C4TOQQQCGVQxFjQAACqhdgxETG6K+iO+JP1iKrrBvQqD55BKioAAqporwYHAIQUIMAY/Qxd/NXrEWr6tUQD2LQlwAKqb7WE9lAAAL/IcA+M5LhJbzKgstCSQEUUiV1MTYEIBASAUbsU4FE67LCVdtCEgAmDSsBFNKwWm4kCwFdC7gZsQ8Fk/DqsnErD+g6UySnKgEUUlUtB4KBAAR8F2D9AuPvGMmwcknByhO+90cPCAQmgEIamB96QwACIRKQNpQnote5GPmatQjHmoVoGTCtdDpQybriLZCAAAQgoCGBRiZQRYJh0J8Xjlto01DcCFWnAiikOl1YpAUBvQkwooMC48sz3SP/bimyuPSWH/LRrgAKqXbXDpFDQPcCXx5nRv8UDPT6svGVn2Ized0vuSYTRCHV5LIhaAjoW4BxaieBveN2Gt9efu3yY/rOFtlpXQCFVOsriPghoCcBTluZwN40Rcd+suTyJU49pYZc9CuAQqrftUVmENCEACPqIWLvGsjw5tLCFXWaCBpBQuA0ARRSXA4QgEBIBBinPSSwN7IyI/5uybH2hyQITAoBGQRQSGVAxBAQgIC3AqyfEX3w/98+93jbC+0goGYBFFI1rw5ig4AOBKTjyzjRJiayD1wOYQ0O0dbBoiKF/xBAIcUFAQEIKCLAiHYJjL3vdBj/sfy65a2KTIJBIaACARRSFSwCQoCAXgQY0RHGhPc5j/igvLD8qF7yQh4QOJ8ACimuDwhAICABRqyFc/4hE4QPygsqdgc0GDpDQIMCKKQaXDSEDIHQC7BegWgNF8T3s8aP3GxhFjH0MSECCIRGAIU0NO6YFQKaE5C+eRKJGzg3rovrS9y06OZFds0lgYAhoIAACqkCqBgSAnoRYMQOcM6rDdxYvXTi8l3Y61YvK4s85BRAIZVTE2NBQOMCjMhFnG3lnKojDMI6HJSt8QVF+EERQCENCjMmgYCKBTh1M0afMhKqzaJj48tFq3tUHC1Cg4DqBFBIVbckCAgCygtIZ3tyTp8LRmP1UOew7Th/OcthAAACRElEQVTfU3lzzKBfARRS/a4tMoPA1wKMeAMR28xI2MxM5i3Lxi1rAw8EICCPAAqpPI4YBQKqEmDEmojxzcSEzdxl2mItsjaqKkAEAwEdCaCQ6mgxkUo4C7AOgWiLVDyNzLh5yYQVR8JZA7lDIJgCKKTB1MZcEJBJQPrGyTmvYQbaJhgMm5deteIgXk2RCRfDQMBHARRSH8HQHALBFmCcbMRoF2O0i0RWw4XImvKC8uZgx4H5IACBswugkOLKgICKBKQjx4joEJFYw0VWYyBDTebE4YewBZ+KFgmhQOAMARRSXBIQCKHAV7doBcZqBIF2xRnSdi8ct9AWwpAwNQQg4KMACqmPYGgOAf8EWC9xOsQYP8BFdlAwGQ4MiDEc+P0l1g7/xkMvCEBALQIopGpZCcShCwFpiz3OqY4xkh7+OUCMHzByw0FstaeL5UUSEDirAAopLgwI+CFwak9aYseIeB1jwgFRFA8amfHAEHHYUewS5AcoukBAwwIopBpePISusIC0By1RA2PsGBepQTDwBi4YG8wRhobUK7Kb8ACQwv4YHgIaEUAh1chCIUz5BRgnzhmdlIolEWsggR/jbmowMmODaDA1lI0v65Z/VowIAQjoTQCFVG8rinxOCTCiLsZYC3HezBm1ELFmgahF+nfRRS2iaGw2x5ublly+xAkyCEAAAoEIsJK1U/4ZyADoCwGlBRjjnHOyE1E/Y2QjYjZO1H6qMIrUQgJrFhi1MBKbRYG3DE10t1jGrHYoHRfGhwAEICAJ/C8H4nVciSkuqgAAAABJRU5ErkJggg==",ur="data:image/png;base64,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",Wf="data:image/png;base64,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E[0]=z*2*re,E[1]=0,E[2]=0,E[3]=0,E[4]=0,E[5]=z*2*ae,E[6]=0,E[7]=0,E[8]=(y+a)*re,E[9]=(b+x)*ae,E[10]=(ee+z)*se,E[11]=-1,E[12]=0,E[13]=0,E[14]=ee*z*2*se,E[15]=0,E}function JS(E,a,y,x,b){var z=1/Math.tan(a/2),ee;return E[0]=z/y,E[1]=0,E[2]=0,E[3]=0,E[4]=0,E[5]=z,E[6]=0,E[7]=0,E[8]=0,E[9]=0,E[11]=-1,E[12]=0,E[13]=0,E[15]=0,b!=null&&b!==1/0?(ee=1/(x-b),E[10]=(b+x)*ee,E[14]=2*b*x*ee):(E[10]=-1,E[14]=-2*x),E}var mT=JS;function pT(E,a,y,x,b){var z=1/Math.tan(a/2),ee;return E[0]=z/y,E[1]=0,E[2]=0,E[3]=0,E[4]=0,E[5]=z,E[6]=0,E[7]=0,E[8]=0,E[9]=0,E[11]=-1,E[12]=0,E[13]=0,E[15]=0,b!=null&&b!==1/0?(ee=1/(x-b),E[10]=b*ee,E[14]=b*x*ee):(E[10]=-1,E[14]=-x),E}function yT(E,a,y,x){var b=Math.tan(a.upDegrees*Math.PI/180),z=Math.tan(a.downDegrees*Math.PI/180),ee=Math.tan(a.leftDegrees*Math.PI/180),re=Math.tan(a.rightDegrees*Math.PI/180),ae=2/(ee+re),se=2/(b+z);return E[0]=ae,E[1]=0,E[2]=0,E[3]=0,E[4]=0,E[5]=se,E[6]=0,E[7]=0,E[8]=-((ee-re)*ae*.5),E[9]=(b-z)*se*.5,E[10]=x/(y-x),E[11]=-1,E[12]=0,E[13]=0,E[14]=x*y/(y-x),E[15]=0,E}function qS(E,a,y,x,b,z,ee){var re=1/(a-y),ae=1/(x-b),se=1/(z-ee);return E[0]=-2*re,E[1]=0,E[2]=0,E[3]=0,E[4]=0,E[5]=-2*ae,E[6]=0,E[7]=0,E[8]=0,E[9]=0,E[10]=2*se,E[11]=0,E[12]=(a+y)*re,E[13]=(b+x)*ae,E[14]=(ee+z)*se,E[15]=1,E}var $S=qS;function Sb(E,a,y,x,b,z,ee){var re=1/(a-y),ae=1/(x-b),se=1/(z-ee);return E[0]=-2*re,E[1]=0,E[2]=0,E[3]=0,E[4]=0,E[5]=-2*ae,E[6]=0,E[7]=0,E[8]=0,E[9]=0,E[10]=se,E[11]=0,E[12]=(a+y)*re,E[13]=(b+x)*ae,E[14]=z*se,E[15]=1,E}function Pb(E,a,y,x){var b,z,ee,re,ae,se,fe,me,Ae,Le,ke=a[0],ze=a[1],je=a[2],Ke=x[0],Ze=x[1],Je=x[2],tt=y[0],it=y[1],st=y[2];return Math.abs(ke-tt)0&&(Le=1/Math.sqrt(Le),fe*=Le,me*=Le,Ae*=Le);var ke=ae*Ae-se*me,ze=se*fe-re*Ae,je=re*me-ae*fe;return Le=ke*ke+ze*ze+je*je,Le>0&&(Le=1/Math.sqrt(Le),ke*=Le,ze*=Le,je*=Le),E[0]=ke,E[1]=ze,E[2]=je,E[3]=0,E[4]=me*je-Ae*ze,E[5]=Ae*ke-fe*je,E[6]=fe*ze-me*ke,E[7]=0,E[8]=fe,E[9]=me,E[10]=Ae,E[11]=0,E[12]=b,E[13]=z,E[14]=ee,E[15]=1,E}function AT(E){return"mat4("+E[0]+", "+E[1]+", "+E[2]+", "+E[3]+", "+E[4]+", "+E[5]+", "+E[6]+", "+E[7]+", "+E[8]+", "+E[9]+", "+E[10]+", "+E[11]+", "+E[12]+", "+E[13]+", "+E[14]+", "+E[15]+")"}function xT(E){return Math.hypot(E[0],E[1],E[2],E[3],E[4],E[5],E[6],E[7],E[8],E[9],E[10],E[11],E[12],E[13],E[14],E[15])}function ST(E,a,y){return E[0]=a[0]+y[0],E[1]=a[1]+y[1],E[2]=a[2]+y[2],E[3]=a[3]+y[3],E[4]=a[4]+y[4],E[5]=a[5]+y[5],E[6]=a[6]+y[6],E[7]=a[7]+y[7],E[8]=a[8]+y[8],E[9]=a[9]+y[9],E[10]=a[10]+y[10],E[11]=a[11]+y[11],E[12]=a[12]+y[12],E[13]=a[13]+y[13],E[14]=a[14]+y[14],E[15]=a[15]+y[15],E}function Mb(E,a,y){return E[0]=a[0]-y[0],E[1]=a[1]-y[1],E[2]=a[2]-y[2],E[3]=a[3]-y[3],E[4]=a[4]-y[4],E[5]=a[5]-y[5],E[6]=a[6]-y[6],E[7]=a[7]-y[7],E[8]=a[8]-y[8],E[9]=a[9]-y[9],E[10]=a[10]-y[10],E[11]=a[11]-y[11],E[12]=a[12]-y[12],E[13]=a[13]-y[13],E[14]=a[14]-y[14],E[15]=a[15]-y[15],E}function bT(E,a,y){return E[0]=a[0]*y,E[1]=a[1]*y,E[2]=a[2]*y,E[3]=a[3]*y,E[4]=a[4]*y,E[5]=a[5]*y,E[6]=a[6]*y,E[7]=a[7]*y,E[8]=a[8]*y,E[9]=a[9]*y,E[10]=a[10]*y,E[11]=a[11]*y,E[12]=a[12]*y,E[13]=a[13]*y,E[14]=a[14]*y,E[15]=a[15]*y,E}function CT(E,a,y,x){return E[0]=a[0]+y[0]*x,E[1]=a[1]+y[1]*x,E[2]=a[2]+y[2]*x,E[3]=a[3]+y[3]*x,E[4]=a[4]+y[4]*x,E[5]=a[5]+y[5]*x,E[6]=a[6]+y[6]*x,E[7]=a[7]+y[7]*x,E[8]=a[8]+y[8]*x,E[9]=a[9]+y[9]*x,E[10]=a[10]+y[10]*x,E[11]=a[11]+y[11]*x,E[12]=a[12]+y[12]*x,E[13]=a[13]+y[13]*x,E[14]=a[14]+y[14]*x,E[15]=a[15]+y[15]*x,E}function aE(E,a){return E[0]===a[0]&&E[1]===a[1]&&E[2]===a[2]&&E[3]===a[3]&&E[4]===a[4]&&E[5]===a[5]&&E[6]===a[6]&&E[7]===a[7]&&E[8]===a[8]&&E[9]===a[9]&&E[10]===a[10]&&E[11]===a[11]&&E[12]===a[12]&&E[13]===a[13]&&E[14]===a[14]&&E[15]===a[15]}function PT(E,a){var y=E[0],x=E[1],b=E[2],z=E[3],ee=E[4],re=E[5],ae=E[6],se=E[7],fe=E[8],me=E[9],Ae=E[10],Le=E[11],ke=E[12],ze=E[13],je=E[14],Ke=E[15],Ze=a[0],Je=a[1],tt=a[2],it=a[3],st=a[4],dt=a[5],lt=a[6],wt=a[7],Bt=a[8],Ht=a[9],Qt=a[10],hn=a[11],nn=a[12],wn=a[13],Jn=a[14],pn=a[15];return 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ga!=Float32Array&&(E[1]=0,E[2]=0,E[3]=0,E[5]=0,E[6]=0,E[7]=0),E[0]=1,E[4]=1,E[8]=1,E}function MT(E,a){return E[0]=a[0],E[1]=a[1],E[2]=a[2],E[3]=a[4],E[4]=a[5],E[5]=a[6],E[6]=a[8],E[7]=a[9],E[8]=a[10],E}function yQ(E){var a=new glMatrix.ARRAY_TYPE(9);return a[0]=E[0],a[1]=E[1],a[2]=E[2],a[3]=E[3],a[4]=E[4],a[5]=E[5],a[6]=E[6],a[7]=E[7],a[8]=E[8],a}function EQ(E,a){return E[0]=a[0],E[1]=a[1],E[2]=a[2],E[3]=a[3],E[4]=a[4],E[5]=a[5],E[6]=a[6],E[7]=a[7],E[8]=a[8],E}function DT(E,a,y,x,b,z,ee,re,ae){var se=new ga(9);return se[0]=E,se[1]=a,se[2]=y,se[3]=x,se[4]=b,se[5]=z,se[6]=ee,se[7]=re,se[8]=ae,se}function AQ(E,a,y,x,b,z,ee,re,ae,se){return E[0]=a,E[1]=y,E[2]=x,E[3]=b,E[4]=z,E[5]=ee,E[6]=re,E[7]=ae,E[8]=se,E}function xQ(E){return E[0]=1,E[1]=0,E[2]=0,E[3]=0,E[4]=1,E[5]=0,E[6]=0,E[7]=0,E[8]=1,E}function SQ(E,a){if(E===a){var y=a[1],x=a[2],b=a[5];E[1]=a[3],E[2]=a[6],E[3]=y,E[5]=a[7],E[6]=x,E[7]=b}else E[0]=a[0],E[1]=a[3],E[2]=a[6],E[3]=a[1],E[4]=a[4],E[5]=a[7],E[6]=a[2],E[7]=a[5],E[8]=a[8];return E}function bQ(E,a){var y=a[0],x=a[1],b=a[2],z=a[3],ee=a[4],re=a[5],ae=a[6],se=a[7],fe=a[8],me=fe*ee-re*se,Ae=-fe*z+re*ae,Le=se*z-ee*ae,ke=y*me+x*Ae+b*Le;return ke?(ke=1/ke,E[0]=me*ke,E[1]=(-fe*x+b*se)*ke,E[2]=(re*x-b*ee)*ke,E[3]=Ae*ke,E[4]=(fe*y-b*ae)*ke,E[5]=(-re*y+b*z)*ke,E[6]=Le*ke,E[7]=(-se*y+x*ae)*ke,E[8]=(ee*y-x*z)*ke,E):null}function CQ(E,a){var y=a[0],x=a[1],b=a[2],z=a[3],ee=a[4],re=a[5],ae=a[6],se=a[7],fe=a[8];return E[0]=ee*fe-re*se,E[1]=b*se-x*fe,E[2]=x*re-b*ee,E[3]=re*ae-z*fe,E[4]=y*fe-b*ae,E[5]=b*z-y*re,E[6]=z*se-ee*ae,E[7]=x*ae-y*se,E[8]=y*ee-x*z,E}function PQ(E){var a=E[0],y=E[1],x=E[2],b=E[3],z=E[4],ee=E[5],re=E[6],ae=E[7],se=E[8];return a*(se*z-ee*ae)+y*(-se*b+ee*re)+x*(ae*b-z*re)}function wQ(E,a,y){var x=a[0],b=a[1],z=a[2],ee=a[3],re=a[4],ae=a[5],se=a[6],fe=a[7],me=a[8],Ae=y[0],Le=y[1],ke=y[2],ze=y[3],je=y[4],Ke=y[5],Ze=y[6],Je=y[7],tt=y[8];return E[0]=Ae*x+Le*ee+ke*se,E[1]=Ae*b+Le*re+ke*fe,E[2]=Ae*z+Le*ae+ke*me,E[3]=ze*x+je*ee+Ke*se,E[4]=ze*b+je*re+Ke*fe,E[5]=ze*z+je*ae+Ke*me,E[6]=Ze*x+Je*ee+tt*se,E[7]=Ze*b+Je*re+tt*fe,E[8]=Ze*z+Je*ae+tt*me,E}function MQ(E,a,y){var x=a[0],b=a[1],z=a[2],ee=a[3],re=a[4],ae=a[5],se=a[6],fe=a[7],me=a[8],Ae=y[0],Le=y[1];return E[0]=x,E[1]=b,E[2]=z,E[3]=ee,E[4]=re,E[5]=ae,E[6]=Ae*x+Le*ee+se,E[7]=Ae*b+Le*re+fe,E[8]=Ae*z+Le*ae+me,E}function DQ(E,a,y){var x=a[0],b=a[1],z=a[2],ee=a[3],re=a[4],ae=a[5],se=a[6],fe=a[7],me=a[8],Ae=Math.sin(y),Le=Math.cos(y);return E[0]=Le*x+Ae*ee,E[1]=Le*b+Ae*re,E[2]=Le*z+Ae*ae,E[3]=Le*ee-Ae*x,E[4]=Le*re-Ae*b,E[5]=Le*ae-Ae*z,E[6]=se,E[7]=fe,E[8]=me,E}function IQ(E,a,y){var x=y[0],b=y[1];return E[0]=x*a[0],E[1]=x*a[1],E[2]=x*a[2],E[3]=b*a[3],E[4]=b*a[4],E[5]=b*a[5],E[6]=a[6],E[7]=a[7],E[8]=a[8],E}function TQ(E,a){return E[0]=1,E[1]=0,E[2]=0,E[3]=0,E[4]=1,E[5]=0,E[6]=a[0],E[7]=a[1],E[8]=1,E}function OQ(E,a){var y=Math.sin(a),x=Math.cos(a);return 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this.projectionMatrixInverse}},{key:"getFrustum",value:function(){return this.frustum}},{key:"getPosition",value:function(){return this.position}},{key:"getFocalPoint",value:function(){return this.focalPoint}},{key:"getDollyingStep",value:function(){return this.dollyingStep}},{key:"getNear",value:function(){return this.near}},{key:"getFar",value:function(){return this.far}},{key:"getZoom",value:function(){return this.zoom}},{key:"getOrthoMatrix",value:function(){return this.orthoMatrix}},{key:"getView",value:function(){return this.view}},{key:"setEnableUpdate",value:function(y){this.enableUpdate=y}},{key:"setType",value:function(y,x){return this.type=y,this.type===rl.EXPLORING?this.setWorldRotation(!0):this.setWorldRotation(!1),this._getAngles(),this.type===rl.TRACKING&&x!==void 0&&this.setTrackingMode(x),this}},{key:"setProjectionMode",value:function(y){return this.projectionMode=y,this}},{key:"setTrackingMode",value:function(y){if(this.type!==rl.TRACKING)throw new Error("Impossible to set a tracking mode if the camera is not of tracking type");return this.trackingMode=y,this}},{key:"setWorldRotation",value:function(y){return this.rotateWorld=y,this._getAngles(),this}},{key:"getViewTransform",value:function(){return Wu(Bi(),this.matrix)}},{key:"getWorldTransform",value:function(){return this.matrix}},{key:"jitterProjectionMatrix",value:function(y,x){var b=Jf(Bi(),[y,x,0]);this.jitteredProjectionMatrix=ju(Bi(),b,this.projectionMatrix)}},{key:"clearJitterProjectionMatrix",value:function(){this.jitteredProjectionMatrix=void 0}},{key:"setMatrix",value:function(y){return this.matrix=y,this._update(),this}},{key:"setProjectionMatrix",value:function(y){this.projectionMatrix=y}},{key:"setFov",value:function(y){return this.setPerspective(this.near,this.far,y,this.aspect),this}},{key:"setAspect",value:function(y){return this.setPerspective(this.near,this.far,this.fov,y),this}},{key:"setNear",value:function(y){return this.projectionMode===ad.PERSPECTIVE?this.setPerspective(y,this.far,this.fov,this.aspect):this.setOrthographic(this.left,this.rright,this.top,this.bottom,y,this.far),this}},{key:"setFar",value:function(y){return this.projectionMode===ad.PERSPECTIVE?this.setPerspective(this.near,y,this.fov,this.aspect):this.setOrthographic(this.left,this.rright,this.top,this.bottom,this.near,y),this}},{key:"setViewOffset",value:function(y,x,b,z,ee,re){return this.aspect=y/x,this.view===void 0&&(this.view={enabled:!0,fullWidth:1,fullHeight:1,offsetX:0,offsetY:0,width:1,height:1}),this.view.enabled=!0,this.view.fullWidth=y,this.view.fullHeight=x,this.view.offsetX=b,this.view.offsetY=z,this.view.width=ee,this.view.height=re,this.projectionMode===ad.PERSPECTIVE?this.setPerspective(this.near,this.far,this.fov,this.aspect):this.setOrthographic(this.left,this.rright,this.top,this.bottom,this.near,this.far),this}},{key:"clearViewOffset",value:function(){return this.view!==void 0&&(this.view.enabled=!1),this.projectionMode===ad.PERSPECTIVE?this.setPerspective(this.near,this.far,this.fov,this.aspect):this.setOrthographic(this.left,this.rright,this.top,this.bottom,this.near,this.far),this}},{key:"setZoom",value:function(y){return this.zoom=y,this.projectionMode===ad.ORTHOGRAPHIC?this.setOrthographic(this.left,this.rright,this.top,this.bottom,this.near,this.far):this.projectionMode===ad.PERSPECTIVE&&this.setPerspective(this.near,this.far,this.fov,this.aspect),this}},{key:"setZoomByViewportPoint",value:function(y,x){var b=this.canvas.viewport2Canvas({x:x[0],y:x[1]}),z=b.x,ee=b.y,re=this.roll;this.rotate(0,0,-re),this.setPosition(z,ee),this.setFocalPoint(z,ee),this.setZoom(y),this.rotate(0,0,re);var ae=this.canvas.viewport2Canvas({x:x[0],y:x[1]}),se=ae.x,fe=ae.y,me=lo(se-z,fe-ee,0),Ae=qu(me,this.right)/Ko(this.right),Le=qu(me,this.up)/Ko(this.up),ke=this.getPosition(),ze=(0,zn.Z)(ke,2),je=ze[0],Ke=ze[1],Ze=this.getFocalPoint(),Je=(0,zn.Z)(Ze,2),tt=Je[0],it=Je[1];return this.setPosition(je-Ae,Ke-Le),this.setFocalPoint(tt-Ae,it-Le),this}},{key:"setPerspective",value:function(y,x,b,z){var ee;this.projectionMode=ad.PERSPECTIVE,this.fov=b,this.near=y,this.far=x,this.aspect=z;var re=this.near*Math.tan(nl(.5*this.fov))/this.zoom,ae=2*re,se=this.aspect*ae,fe=-.5*se;if((ee=this.view)!==null&&ee!==void 0&&ee.enabled){var me=this.view.fullWidth,Ae=this.view.fullHeight;fe+=this.view.offsetX*se/me,re-=this.view.offsetY*ae/Ae,se*=this.view.width/me,ae*=this.view.height/Ae}return sL(this.projectionMatrix,fe,fe+se,re-ae,re,y,this.far,this.clipSpaceNearZ===xm.ZERO),Wu(this.projectionMatrixInverse,this.projectionMatrix),this.triggerUpdate(),this}},{key:"setOrthographic",value:function(y,x,b,z,ee,re){var ae;this.projectionMode=ad.ORTHOGRAPHIC,this.rright=x,this.left=y,this.top=b,this.bottom=z,this.near=ee,this.far=re;var se=(this.rright-this.left)/(2*this.zoom),fe=(this.top-this.bottom)/(2*this.zoom),me=(this.rright+this.left)/2,Ae=(this.top+this.bottom)/2,Le=me-se,ke=me+se,ze=Ae+fe,je=Ae-fe;if((ae=this.view)!==null&&ae!==void 0&&ae.enabled){var Ke=(this.rright-this.left)/this.view.fullWidth/this.zoom,Ze=(this.top-this.bottom)/this.view.fullHeight/this.zoom;Le+=Ke*this.view.offsetX,ke=Le+Ke*this.view.width,ze-=Ze*this.view.offsetY,je=ze-Ze*this.view.height}return this.clipSpaceNearZ===xm.NEGATIVE_ONE?$S(this.projectionMatrix,Le,ke,ze,je,ee,re):Sb(this.projectionMatrix,Le,ke,ze,je,ee,re),Wu(this.projectionMatrixInverse,this.projectionMatrix),this._getOrthoMatrix(),this.triggerUpdate(),this}},{key:"setPosition",value:function(y){var x=arguments.length>1&&arguments[1]!==void 0?arguments[1]:this.position[1],b=arguments.length>2&&arguments[2]!==void 0?arguments[2]:this.position[2],z=ec(y,x,b);return this._setPosition(z),this.setFocalPoint(this.focalPoint),this.triggerUpdate(),this}},{key:"setFocalPoint",value:function(y){var x=arguments.length>1&&arguments[1]!==void 0?arguments[1]:this.focalPoint[1],b=arguments.length>2&&arguments[2]!==void 0?arguments[2]:this.focalPoint[2],z=lo(0,1,0);if(this.focalPoint=ec(y,x,b),this.trackingMode===EE.CINEMATIC){var ee=ks(ai(),this.focalPoint,this.position);y=ee[0],x=ee[1],b=ee[2];var re=Ko(ee),ae=vc(Math.asin(x/re)),se=90+vc(Math.atan2(b,y)),fe=Bi();KS(fe,fe,nl(se)),VS(fe,fe,nl(ae)),z=hl(ai(),[0,1,0],fe)}return Wu(this.matrix,Pb(Bi(),this.position,this.focalPoint,z)),this._getAxes(),this._getDistance(),this._getAngles(),this.triggerUpdate(),this}},{key:"getDistance",value:function(){return this.distance}},{key:"getDistanceVector",value:function(){return this.distanceVector}},{key:"setDistance",value:function(y){if(this.distance===y||y<0)return this;this.distance=y,this.distance>8&15|a>>4&240,a>>4&15|a&240,(a&15)<<4|a&15,1):y===8?wm(a>>24&255,a>>16&255,a>>8&255,(a&255)/255):y===4?wm(a>>12&15|a>>8&240,a>>8&15|a>>4&240,a>>4&15|a&240,((a&15)<<4|a&15)/255):null):(a=mL.exec(E))?new mc(a[1],a[2],a[3],1):(a=pL.exec(E))?new mc(a[1]*255/100,a[2]*255/100,a[3]*255/100,1):(a=yL.exec(E))?wm(a[1],a[2],a[3],a[4]):(a=EL.exec(E))?wm(a[1]*255/100,a[2]*255/100,a[3]*255/100,a[4]):(a=AL.exec(E))?BC(a[1],a[2]/100,a[3]/100,1):(a=xL.exec(E))?BC(a[1],a[2]/100,a[3]/100,a[4]):MC.hasOwnProperty(E)?TC(MC[E]):E==="transparent"?new mc(NaN,NaN,NaN,0):null}function TC(E){return new mc(E>>16&255,E>>8&255,E&255,1)}function 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Ka.sceneGraphService.querySelectorAll(".".concat(x),this)}},{key:"getElementsByTagName",value:function(x){return Ka.sceneGraphService.querySelectorAll(x,this)}},{key:"querySelector",value:function(x){return Ka.sceneGraphService.querySelector(x,this)}},{key:"querySelectorAll",value:function(x){return Ka.sceneGraphService.querySelectorAll(x,this)}},{key:"closest",value:function(x){var b=this;do{if(Ka.sceneGraphService.matches(x,b))return b;b=b.parentElement}while(b!==null);return null}},{key:"find",value:function(x){var b=this,z=null;return this.forEach(function(ee){return ee!==b&&x(ee)?(z=ee,!1):!0}),z}},{key:"findAll",value:function(x){var b=this,z=[];return this.forEach(function(ee){ee!==b&&x(ee)&&z.push(ee)}),z}},{key:"after",value:function(){var x=this;if(this.parentNode){for(var b=this.parentNode.childNodes.indexOf(this),z=arguments.length,ee=new Array(z),re=0;re0&&arguments[0]!==void 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Ka.sceneGraphService.setPosition(this,ec(x,b,z,!1)),this}},{key:"setLocalPosition",value:function(x){var b=arguments.length>1&&arguments[1]!==void 0?arguments[1]:0,z=arguments.length>2&&arguments[2]!==void 0?arguments[2]:0;return Ka.sceneGraphService.setLocalPosition(this,ec(x,b,z,!1)),this}},{key:"translate",value:function(x){var b=arguments.length>1&&arguments[1]!==void 0?arguments[1]:0,z=arguments.length>2&&arguments[2]!==void 0?arguments[2]:0;return Ka.sceneGraphService.translate(this,ec(x,b,z,!1)),this}},{key:"translateLocal",value:function(x){var b=arguments.length>1&&arguments[1]!==void 0?arguments[1]:0,z=arguments.length>2&&arguments[2]!==void 0?arguments[2]:0;return Ka.sceneGraphService.translateLocal(this,ec(x,b,z,!1)),this}},{key:"getPosition",value:function(){return Ka.sceneGraphService.getPosition(this)}},{key:"getLocalPosition",value:function(){return Ka.sceneGraphService.getLocalPosition(this)}},{key:"scale",value:function(x,b,z){return this.scaleLocal(x,b,z)}},{key:"scaleLocal",value:function(x,b,z){return typeof x=="number"&&(b=b||x,z=z||x,x=ec(x,b,z,!1)),Ka.sceneGraphService.scaleLocal(this,x),this}},{key:"setLocalScale",value:function(x,b,z){return typeof x=="number"&&(b=b||x,z=z||x,x=ec(x,b,z,!1)),Ka.sceneGraphService.setLocalScale(this,x),this}},{key:"getLocalScale",value:function(){return Ka.sceneGraphService.getLocalScale(this)}},{key:"getScale",value:function(){return Ka.sceneGraphService.getScale(this)}},{key:"getEulerAngles",value:function(){var x=pE(nv,Ka.sceneGraphService.getWorldTransform(this)),b=(0,zn.Z)(x,3),z=b[2];return vc(z)}},{key:"getLocalEulerAngles",value:function(){var x=pE(nv,Ka.sceneGraphService.getLocalRotation(this)),b=(0,zn.Z)(x,3),z=b[2];return vc(z)}},{key:"setEulerAngles",value:function(x){return Ka.sceneGraphService.setEulerAngles(this,0,0,x),this}},{key:"setLocalEulerAngles",value:function(x){return Ka.sceneGraphService.setLocalEulerAngles(this,0,0,x),this}},{key:"rotateLocal",value:function(x,b,z){return wo(b)&&wo(z)?Ka.sceneGraphService.rotateLocal(this,0,0,x):Ka.sceneGraphService.rotateLocal(this,x,b,z),this}},{key:"rotate",value:function(x,b,z){return wo(b)&&wo(z)?Ka.sceneGraphService.rotate(this,0,0,x):Ka.sceneGraphService.rotate(this,x,b,z),this}},{key:"setRotation",value:function(x,b,z,ee){return Ka.sceneGraphService.setRotation(this,x,b,z,ee),this}},{key:"setLocalRotation",value:function(x,b,z,ee){return Ka.sceneGraphService.setLocalRotation(this,x,b,z,ee),this}},{key:"setLocalSkew",value:function(x,b){return Ka.sceneGraphService.setLocalSkew(this,x,b),this}},{key:"getRotation",value:function(){return Ka.sceneGraphService.getRotation(this)}},{key:"getLocalRotation",value:function(){return Ka.sceneGraphService.getLocalRotation(this)}},{key:"getLocalSkew",value:function(){return Ka.sceneGraphService.getLocalSkew(this)}},{key:"getLocalTransform",value:function(){return 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b=this.parsedStyle,z=b.markerStart,ee=b.markerEnd,re=b.markerStartOffset,ae=b.markerEndOffset,se=b.x1,fe=b.x2,me=b.y1,Ae=b.y2,Le=x?z:ee;if(!(!Le||!js(Le))){var ke=0,ze,je,Ke,Ze,Je,tt;x?(Ke=se,Ze=me,ze=fe-se,je=Ae-me,Je=re||0,tt=this.markerStartAngle):(Ke=fe,Ze=Ae,ze=se-fe,je=me-Ae,Je=ae||0,tt=this.markerEndAngle),ke=Math.atan2(je,ze),Le.setLocalEulerAngles(ke*180/Math.PI+tt),Le.setLocalPosition(Ke+Math.cos(ke)*Je,Ze+Math.sin(ke)*Je)}}},{key:"getPoint",value:function(x){var b=arguments.length>1&&arguments[1]!==void 0?arguments[1]:!1,z=this.parsedStyle,ee=z.x1,re=z.y1,ae=z.x2,se=z.y2,fe=$d(ee,re,ae,se,x),me=fe.x,Ae=fe.y,Le=hl(ai(),lo(me,Ae,0),b?this.getWorldTransform():this.getLocalTransform());return new Du(Le[0],Le[1])}},{key:"getPointAtLength",value:function(x){var b=arguments.length>1&&arguments[1]!==void 0?arguments[1]:!1;return this.getPoint(x/this.getTotalLength(),b)}},{key:"getTotalLength",value:function(){var x=this.parsedStyle,b=x.x1,z=x.y1,ee=x.x2,re=x.y2;return 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re&&js(re)&&(y.markerStartAngle=re.getLocalEulerAngles(),y.appendChild(re)),se&&js(se)&&y.placeMarkerMid(se),ae&&js(ae)&&(y.markerEndAngle=ae.getLocalEulerAngles(),y.appendChild(ae)),y.transformMarker(!0),y.transformMarker(!1),y}return(0,va.Z)(a,E),(0,$n.Z)(a,[{key:"attributeChangedCallback",value:function(x,b,z,ee,re){x==="d"?(this.transformMarker(!0),this.transformMarker(!1),this.placeMarkerMid(this.parsedStyle.markerMid)):x==="markerStartOffset"||x==="markerEndOffset"?(this.transformMarker(!0),this.transformMarker(!1)):x==="markerStart"?(ee&&js(ee)&&(this.markerStartAngle=0,ee.remove()),re&&js(re)&&(this.markerStartAngle=re.getLocalEulerAngles(),this.appendChild(re),this.transformMarker(!0))):x==="markerEnd"?(ee&&js(ee)&&(this.markerEndAngle=0,ee.remove()),re&&js(re)&&(this.markerEndAngle=re.getLocalEulerAngles(),this.appendChild(re),this.transformMarker(!1))):x==="markerMid"&&this.placeMarkerMid(re)}},{key:"transformMarker",value:function(x){var b=this.parsedStyle,z=b.markerStart,ee=b.markerEnd,re=b.markerStartOffset,ae=b.markerEndOffset,se=x?z:ee;if(!(!se||!js(se))){var fe=0,me,Ae,Le,ke,ze,je;if(x){var Ke=this.getStartTangent(),Ze=(0,zn.Z)(Ke,2),Je=Ze[0],tt=Ze[1];Le=tt[0],ke=tt[1],me=Je[0]-tt[0],Ae=Je[1]-tt[1],ze=re||0,je=this.markerStartAngle}else{var it=this.getEndTangent(),st=(0,zn.Z)(it,2),dt=st[0],lt=st[1];Le=lt[0],ke=lt[1],me=dt[0]-lt[0],Ae=dt[1]-lt[1],ze=ae||0,je=this.markerEndAngle}fe=Math.atan2(Ae,me),se.setLocalEulerAngles(fe*180/Math.PI+je),se.setLocalPosition(Le+Math.cos(fe)*ze,ke+Math.sin(fe)*ze)}}},{key:"placeMarkerMid",value:function(x){var b=this.parsedStyle.d.segments;if(this.markerMidList.forEach(function(fe){fe.remove()}),x&&js(x))for(var z=1;z1&&arguments[1]!==void 0?arguments[1]:!1,z=this.parsedStyle.d.absolutePath,ee=SO(z,x),re=ee.x,ae=ee.y,se=hl(ai(),lo(re,ae,0),b?this.getWorldTransform():this.getLocalTransform());return new Du(se[0],se[1])}},{key:"getPoint",value:function(x){var 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re&&js(re)&&(y.markerStartAngle=re.getLocalEulerAngles(),y.appendChild(re)),se&&js(se)&&y.placeMarkerMid(se),ae&&js(ae)&&(y.markerEndAngle=ae.getLocalEulerAngles(),y.appendChild(ae)),y.transformMarker(!0),y.transformMarker(!1),y}return(0,va.Z)(a,E),(0,$n.Z)(a,[{key:"attributeChangedCallback",value:function(x,b,z,ee,re){x==="points"?(this.transformMarker(!0),this.transformMarker(!1),this.placeMarkerMid(this.parsedStyle.markerMid)):x==="markerStartOffset"||x==="markerEndOffset"?(this.transformMarker(!0),this.transformMarker(!1)):x==="markerStart"?(ee&&js(ee)&&(this.markerStartAngle=0,ee.remove()),re&&js(re)&&(this.markerStartAngle=re.getLocalEulerAngles(),this.appendChild(re),this.transformMarker(!0))):x==="markerEnd"?(ee&&js(ee)&&(this.markerEndAngle=0,ee.remove()),re&&js(re)&&(this.markerEndAngle=re.getLocalEulerAngles(),this.appendChild(re),this.transformMarker(!1))):x==="markerMid"&&this.placeMarkerMid(re)}},{key:"transformMarker",value:function(x){var b=this.parsedStyle,z=b.markerStart,ee=b.markerEnd,re=b.markerStartOffset,ae=b.markerEndOffset,se=b.points,fe=se||{},me=fe.points,Ae=x?z:ee;if(!(!Ae||!js(Ae)||!me)){var Le=0,ke,ze,je,Ke,Ze,Je;if(je=me[0][0],Ke=me[0][1],x)ke=me[1][0]-me[0][0],ze=me[1][1]-me[0][1],Ze=re||0,Je=this.markerStartAngle;else{var tt=me.length;this.parsedStyle.isClosed?(ke=me[tt-1][0]-me[0][0],ze=me[tt-1][1]-me[0][1]):(je=me[tt-1][0],Ke=me[tt-1][1],ke=me[tt-2][0]-me[tt-1][0],ze=me[tt-2][1]-me[tt-1][1]),Ze=ae||0,Je=this.markerEndAngle}Le=Math.atan2(ze,ke),Ae.setLocalEulerAngles(Le*180/Math.PI+Je),Ae.setLocalPosition(je+Math.cos(Le)*Ze,Ke+Math.sin(Le)*Ze)}}},{key:"placeMarkerMid",value:function(x){var b=this.parsedStyle.points,z=b||{},ee=z.points;if(this.markerMidList.forEach(function(me){me.remove()}),this.markerMidList=[],x&&js(x)&&ee)for(var re=1;re<(this.parsedStyle.isClosed?ee.length:ee.length-1);re++){var ae=ee[re][0],se=ee[re][1],fe=re===1?x:x.cloneNode(!0);this.markerMidList.push(fe),this.appendChild(fe),fe.setLocalPosition(ae,se)}}}])}(gl);cg.PARSED_STYLE_LIST=new Set([].concat((0,fa.Z)(gl.PARSED_STYLE_LIST),["points","markerStart","markerMid","markerEnd","markerStartOffset","markerEndOffset","isClosed","isBillboard","isSizeAttenuation"]));var xN=["style"],jm=function(E){function a(){var y=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},x=y.style,b=(0,qh.Z)(y,xN);return(0,mr.Z)(this,a),Lr(this,a,[(0,Sr.Z)({type:ha.POLYLINE,style:x,initialParsedStyle:{points:{points:[],totalLength:0,segments:[]},miterLimit:4,isClosed:!1}},b)])}return(0,va.Z)(a,E),(0,$n.Z)(a,[{key:"getTotalLength",value:function(){return uB(this)}},{key:"getPointAtLength",value:function(x){var b=arguments.length>1&&arguments[1]!==void 0?arguments[1]:!1;return this.getPoint(x/this.getTotalLength(),b)}},{key:"getPoint",value:function(x){var b=arguments.length>1&&arguments[1]!==void 0?arguments[1]:!1,z=this.parsedStyle.points.points;if(this.parsedStyle.points.segments.length===0){var ee=[],re=0,ae,se,fe=this.getTotalLength();z.forEach(function(Ke,Ze){z[Ze+1]&&(ae=[0,0],ae[0]=re/fe,se=oC(Ke[0],Ke[1],z[Ze+1][0],z[Ze+1][1]),re+=se,ae[1]=re/fe,ee.push(ae))}),this.parsedStyle.points.segments=ee}var me=0,Ae=0;this.parsedStyle.points.segments.forEach(function(Ke,Ze){x>=Ke[0]&&x<=Ke[1]&&(me=(x-Ke[0])/(Ke[1]-Ke[0]),Ae=Ze)});var Le=$d(z[Ae][0],z[Ae][1],z[Ae+1][0],z[Ae+1][1],me),ke=Le.x,ze=Le.y,je=hl(ai(),lo(ke,ze,0),b?this.getWorldTransform():this.getLocalTransform());return new Du(je[0],je[1])}},{key:"getStartTangent",value:function(){var x=this.parsedStyle.points.points,b=[];return b.push([x[1][0],x[1][1]]),b.push([x[0][0],x[0][1]]),b}},{key:"getEndTangent",value:function(){var x=this.parsedStyle.points.points,b=x.length-1,z=[];return z.push([x[b-1][0],x[b-1][1]]),z.push([x[b][0],x[b][1]]),z}}])}(cg);jm.PARSED_STYLE_LIST=new Set([].concat((0,fa.Z)(cg.PARSED_STYLE_LIST),["points","markerStart","markerMid","markerEnd","markerStartOffset","markerEndOffset","isBillboard"]));var Iu=function(E){function a(){var y=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{};return(0,mr.Z)(this,a),Lr(this,a,[(0,Sr.Z)({type:ha.RECT},y)])}return(0,va.Z)(a,E),(0,$n.Z)(a)}(gl);Iu.PARSED_STYLE_LIST=new Set([].concat((0,fa.Z)(gl.PARSED_STYLE_LIST),["x","y","z","width","height","isBillboard","isSizeAttenuation","radius"]));var SN=["style"],dg=function(E){function a(){var y=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},x=y.style,b=(0,qh.Z)(y,SN);return(0,mr.Z)(this,a),Lr(this,a,[(0,Sr.Z)({type:ha.TEXT,style:(0,Sr.Z)({fill:"black"},x)},b)])}return(0,va.Z)(a,E),(0,$n.Z)(a,[{key:"getComputedTextLength",value:function(){var x;return this.getGeometryBounds(),((x=this.parsedStyle.metrics)===null||x===void 0?void 0:x.maxLineWidth)||0}},{key:"getLineBoundingRects",value:function(){var x;return this.getGeometryBounds(),((x=this.parsedStyle.metrics)===null||x===void 0?void 0:x.lineMetrics)||[]}},{key:"isOverflowing",value:function(){return this.getGeometryBounds(),!!this.parsedStyle.isOverflowing}}])}(gl);dg.PARSED_STYLE_LIST=new Set([].concat((0,fa.Z)(gl.PARSED_STYLE_LIST),["x","y","z","isBillboard","billboardRotation","isSizeAttenuation","text","textAlign","textBaseline","fontStyle","fontSize","fontFamily","fontWeight","fontVariant","lineHeight","letterSpacing","leading","wordWrap","wordWrapWidth","maxLines","textOverflow","isOverflowing","textPath","textDecorationLine","textDecorationColor","textDecorationStyle","textPathSide","textPathStartOffset","metrics","dx","dy"]));var bN=function(){function E(){(0,mr.Z)(this,E),this.registry={},this.define(ha.CIRCLE,wf),this.define(ha.ELLIPSE,rv),this.define(ha.RECT,Iu),this.define(ha.IMAGE,iv),this.define(ha.LINE,ug),this.define(ha.GROUP,du),this.define(ha.PATH,Rc),this.define(ha.POLYGON,cg),this.define(ha.POLYLINE,jm),this.define(ha.TEXT,dg),this.define(ha.HTML,av)}return(0,$n.Z)(E,[{key:"define",value:function(y,x){this.registry[y]=x}},{key:"get",value:function(y){return this.registry[y]}}])}(),PX={number:function(a){return new al(a)},percent:function(a){return new al(a,"%")},px:function(a){return new al(a,"px")},em:function(a){return new al(a,"em")},rem:function(a){return new al(a,"rem")},deg:function(a){return new al(a,"deg")},grad:function(a){return new al(a,"grad")},rad:function(a){return new al(a,"rad")},turn:function(a){return new al(a,"turn")},s:function(a){return new al(a,"s")},ms:function(a){return new al(a,"ms")},registerProperty:function(a){var y=a.name,x=a.inherits,b=a.interpolable,z=a.initialValue,ee=a.syntax;Ka.styleValueRegistry.registerMetadata({n:y,inh:x,int:b,d:z,syntax:ee})},registerLayout:function(a,y){Ka.layoutRegistry.registerLayout(a,y)}},wP=function(E){function a(){var y;(0,mr.Z)(this,a),y=Lr(this,a),y.defaultView=null,y.ownerDocument=null,y.nodeName="document";try{y.timeline=new Ka.AnimationTimeline(y)}catch(b){}var x={};return RE.forEach(function(b){var z=b.n,ee=b.inh,re=b.d;ee&&re&&(x[z]=qi(re)?re(ha.GROUP):re)}),y.documentElement=new du({id:"g-root",style:x}),y.documentElement.ownerDocument=y,y.documentElement.parentNode=y,y.childNodes=[y.documentElement],y}return(0,va.Z)(a,E),(0,$n.Z)(a,[{key:"children",get:function(){return this.childNodes}},{key:"childElementCount",get:function(){return this.childNodes.length}},{key:"firstElementChild",get:function(){return this.firstChild}},{key:"lastElementChild",get:function(){return this.lastChild}},{key:"createElement",value:function(x,b){if(x==="svg")return this.documentElement;var z=this.defaultView.customElements.get(x);z||(console.warn("Unsupported tagName: ",x),z=x==="tspan"?dg:du);var ee=new z(b);return ee.ownerDocument=this,ee}},{key:"createElementNS",value:function(x,b,z){return this.createElement(b,z)}},{key:"cloneNode",value:function(x){throw new Error(tl)}},{key:"destroy",value:function(){try{this.documentElement.destroyChildren(),this.timeline.destroy()}catch(x){}}},{key:"elementsFromBBox",value:function(x,b,z,ee){var re=this.defaultView.context.rBushRoot,ae=re.search({minX:x,minY:b,maxX:z,maxY:ee}),se=[];return ae.forEach(function(fe){var me=fe.displayObject,Ae=me.parsedStyle.pointerEvents,Le=Ae===void 0?"auto":Ae,ke=["auto","visiblepainted","visiblefill","visiblestroke","visible"].includes(Le);(!ke||ke&&me.isVisible())&&!me.isCulled()&&me.isInteractive()&&se.push(me)}),se.sort(function(fe,me){return me.sortable.renderOrder-fe.sortable.renderOrder}),se}},{key:"elementFromPointSync",value:function(x,b){var z=this.defaultView.canvas2Viewport({x,y:b}),ee=z.x,re=z.y,ae=this.defaultView.getConfig(),se=ae.width,fe=ae.height;if(ee<0||re<0||ee>se||re>fe)return null;var me=this.defaultView.viewport2Client({x:ee,y:re}),Ae=me.x,Le=me.y,ke=this.defaultView.getRenderingService().hooks.pickSync.call({topmost:!0,position:{x,y:b,viewportX:ee,viewportY:re,clientX:Ae,clientY:Le},picked:[]}),ze=ke.picked;return ze&&ze[0]||this.documentElement}},{key:"elementFromPoint",value:function(){var y=(0,th.Z)((0,Hu.Z)().mark(function b(z,ee){var re,ae,se,fe,me,Ae,Le,ke,ze,je,Ke;return(0,Hu.Z)().wrap(function(Ze){for(;;)switch(Ze.prev=Ze.next){case 0:if(re=this.defaultView.canvas2Viewport({x:z,y:ee}),ae=re.x,se=re.y,fe=this.defaultView.getConfig(),me=fe.width,Ae=fe.height,!(ae<0||se<0||ae>me||se>Ae)){Ze.next=1;break}return Ze.abrupt("return",null);case 1:return Le=this.defaultView.viewport2Client({x:ae,y:se}),ke=Le.x,ze=Le.y,Ze.next=2,this.defaultView.getRenderingService().hooks.pick.promise({topmost:!0,position:{x:z,y:ee,viewportX:ae,viewportY:se,clientX:ke,clientY:ze},picked:[]});case 2:return je=Ze.sent,Ke=je.picked,Ze.abrupt("return",Ke&&Ke[0]||this.documentElement);case 3:case"end":return Ze.stop()}},b,this)}));function x(b,z){return y.apply(this,arguments)}return x}()},{key:"elementsFromPointSync",value:function(x,b){var z=this.defaultView.canvas2Viewport({x,y:b}),ee=z.x,re=z.y,ae=this.defaultView.getConfig(),se=ae.width,fe=ae.height;if(ee<0||re<0||ee>se||re>fe)return[];var me=this.defaultView.viewport2Client({x:ee,y:re}),Ae=me.x,Le=me.y,ke=this.defaultView.getRenderingService().hooks.pickSync.call({topmost:!1,position:{x,y:b,viewportX:ee,viewportY:re,clientX:Ae,clientY:Le},picked:[]}),ze=ke.picked;return ze[ze.length-1]!==this.documentElement&&ze.push(this.documentElement),ze}},{key:"elementsFromPoint",value:function(){var y=(0,th.Z)((0,Hu.Z)().mark(function b(z,ee){var re,ae,se,fe,me,Ae,Le,ke,ze,je,Ke;return(0,Hu.Z)().wrap(function(Ze){for(;;)switch(Ze.prev=Ze.next){case 0:if(re=this.defaultView.canvas2Viewport({x:z,y:ee}),ae=re.x,se=re.y,fe=this.defaultView.getConfig(),me=fe.width,Ae=fe.height,!(ae<0||se<0||ae>me||se>Ae)){Ze.next=1;break}return Ze.abrupt("return",[]);case 1:return Le=this.defaultView.viewport2Client({x:ae,y:se}),ke=Le.x,ze=Le.y,Ze.next=2,this.defaultView.getRenderingService().hooks.pick.promise({topmost:!1,position:{x:z,y:ee,viewportX:ae,viewportY:se,clientX:ke,clientY:ze},picked:[]});case 2:return je=Ze.sent,Ke=je.picked,Ke[Ke.length-1]!==this.documentElement&&Ke.push(this.documentElement),Ze.abrupt("return",Ke);case 3:case"end":return Ze.stop()}},b,this)}));function x(b,z){return y.apply(this,arguments)}return x}()},{key:"appendChild",value:function(x,b){throw new Error(t0)}},{key:"insertBefore",value:function(x,b){throw new Error(t0)}},{key:"removeChild",value:function(x,b){throw new Error(t0)}},{key:"replaceChild",value:function(x,b,z){throw new Error(t0)}},{key:"append",value:function(){throw new Error(t0)}},{key:"prepend",value:function(){throw new Error(t0)}},{key:"getElementById",value:function(x){return this.documentElement.getElementById(x)}},{key:"getElementsByName",value:function(x){return this.documentElement.getElementsByName(x)}},{key:"getElementsByTagName",value:function(x){return this.documentElement.getElementsByTagName(x)}},{key:"getElementsByClassName",value:function(x){return this.documentElement.getElementsByClassName(x)}},{key:"querySelector",value:function(x){return this.documentElement.querySelector(x)}},{key:"querySelectorAll",value:function(x){return this.documentElement.querySelectorAll(x)}},{key:"find",value:function(x){return this.documentElement.find(x)}},{key:"findAll",value:function(x){return this.documentElement.findAll(x)}}])}(bl),MP=function(){function E(a){(0,mr.Z)(this,E),this.strategies=a}return(0,$n.Z)(E,[{key:"apply",value:function(y){var x=y.config,b=y.camera,z=y.renderingService,ee=y.renderingContext,re=this.strategies;z.hooks.cull.tap(E.tag,function(ae){if(ae){var se,fe=ae.cullable;if(re.length===0?fe.visible=ee.unculledEntities.indexOf(ae.entity)>-1:fe.visible=re.every(function(Ae){return Ae.isVisible(b,ae)}),!ae.isCulled()&&ae.isVisible())return ae;var me=((se=x.future)===null||se===void 0?void 0:se.experimentalCancelEventPropagation)===!0;return ae.dispatchEvent(new ru(ys.CULLED),me,me),null}return ae}),z.hooks.afterRender.tap(E.tag,function(ae){ae.cullable.visibilityPlaneMask=-1})}}])}();MP.tag="Culling";var DP=function(){function E(){var a=this;(0,mr.Z)(this,E),this.autoPreventDefault=!1,this.rootPointerEvent=new km(null),this.rootWheelEvent=new GE(null),this.onPointerMove=function(y){var x,b=(x=a.context.renderingContext.root)===null||x===void 0||(x=x.ownerDocument)===null||x===void 0?void 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re=x.context.renderingService.hooks.pickSync.call({position:ee,picked:[],topmost:!0}),ae=re.picked;return ae[0]||null}),b.hooks.pointerWheel.tap(E.tag,function(ee){var re=x.normalizeWheelEvent(ee);x.context.eventService.mapEvent(re)}),b.hooks.pointerDown.tap(E.tag,function(ee){if(!(z.supportsTouchEvents&&ee.pointerType==="touch")){var re=x.normalizeToPointerEvent(ee,z);if(x.autoPreventDefault&&re[0].isNormalized){var ae=ee.cancelable||!("cancelable"in ee);ae&&ee.preventDefault()}var se=Jh(re),fe;try{for(se.s();!(fe=se.n()).done;){var me=fe.value,Ae=x.bootstrapEvent(x.rootPointerEvent,me,z,ee);x.context.eventService.mapEvent(Ae)}}catch(Le){se.e(Le)}finally{se.f()}x.setCursor(x.context.eventService.cursor)}}),b.hooks.pointerUp.tap(E.tag,function(ee){if(!(z.supportsTouchEvents&&ee.pointerType==="touch")){var re=x.context.contextService.getDomElement(),ae=x.context.eventService.isNativeEventFromCanvas(re,ee),se=ae?"":"outside",fe=x.normalizeToPointerEvent(ee,z),me=Jh(fe),Ae;try{for(me.s();!(Ae=me.n()).done;){var Le=Ae.value,ke=x.bootstrapEvent(x.rootPointerEvent,Le,z,ee);ke.type+=se,x.context.eventService.mapEvent(ke)}}catch(ze){me.e(ze)}finally{me.f()}x.setCursor(x.context.eventService.cursor)}}),b.hooks.pointerMove.tap(E.tag,this.onPointerMove),b.hooks.pointerOver.tap(E.tag,this.onPointerMove),b.hooks.pointerOut.tap(E.tag,this.onPointerMove),b.hooks.click.tap(E.tag,this.onClick),b.hooks.pointerCancel.tap(E.tag,function(ee){var re=x.normalizeToPointerEvent(ee,z),ae=Jh(re),se;try{for(ae.s();!(se=ae.n()).done;){var fe=se.value,me=x.bootstrapEvent(x.rootPointerEvent,fe,z,ee);x.context.eventService.mapEvent(me)}}catch(Ae){ae.e(Ae)}finally{ae.f()}x.setCursor(x.context.eventService.cursor)})}},{key:"bootstrapEvent",value:function(y,x,b,z){y.view=b,y.originalEvent=null,y.nativeEvent=z,y.pointerId=x.pointerId,y.width=x.width,y.height=x.height,y.isPrimary=x.isPrimary,y.pointerType=x.pointerType,y.pressure=x.pressure,y.tangentialPressure=x.tangentialPressure,y.tiltX=x.tiltX,y.tiltY=x.tiltY,y.twist=x.twist,this.transferMouseData(y,x);var ee=this.context.eventService.client2Viewport({x:x.clientX,y:x.clientY}),re=ee.x,ae=ee.y;y.viewport.x=re,y.viewport.y=ae;var se=this.context.eventService.viewport2Canvas(y.viewport),fe=se.x,me=se.y;return y.canvas.x=fe,y.canvas.y=me,y.global.copyFrom(y.canvas),y.offset.copyFrom(y.canvas),y.isTrusted=z.isTrusted,y.type==="pointerleave"&&(y.type="pointerout"),y.type.startsWith("mouse")&&(y.type=y.type.replace("mouse","pointer")),y.type.startsWith("touch")&&(y.type=o6[y.type]||y.type),y}},{key:"normalizeWheelEvent",value:function(y){var x=this.rootWheelEvent;this.transferMouseData(x,y),x.deltaMode=y.deltaMode,x.deltaX=y.deltaX,x.deltaY=y.deltaY,x.deltaZ=y.deltaZ;var b=this.context.eventService.client2Viewport({x:y.clientX,y:y.clientY}),z=b.x,ee=b.y;x.viewport.x=z,x.viewport.y=ee;var re=this.context.eventService.viewport2Canvas(x.viewport),ae=re.x,se=re.y;return x.canvas.x=ae,x.canvas.y=se,x.global.copyFrom(x.canvas),x.offset.copyFrom(x.canvas),x.nativeEvent=y,x.type=y.type,x}},{key:"transferMouseData",value:function(y,x){y.isTrusted=x.isTrusted,y.srcElement=x.srcElement,y.timeStamp=zE.now(),y.type=x.type,y.altKey=x.altKey,y.metaKey=x.metaKey,y.shiftKey=x.shiftKey,y.ctrlKey=x.ctrlKey,y.button=x.button,y.buttons=x.buttons,y.client.x=x.clientX,y.client.y=x.clientY,y.movement.x=x.movementX,y.movement.y=x.movementY,y.page.x=x.pageX,y.page.y=x.pageY,y.screen.x=x.screenX,y.screen.y=x.screenY,y.relatedTarget=null}},{key:"setCursor",value:function(y){this.context.contextService.applyCursorStyle(y||this.context.config.cursor||"default")}},{key:"normalizeToPointerEvent",value:function(y,x){var b=[];if(x.isTouchEvent(y))for(var z=0;z-1,ae=0,se=z.length;ae1&&arguments[1]!==void 0?arguments[1]:!1;if(y.isConnected){var b=y.rBushNode;b.aabb&&this.rBush.remove(b.aabb);var z=y.getRenderBounds();if(z){var ee=y.renderable;x&&(ee.dirtyRenderBounds||(ee.dirtyRenderBounds=new cl),ee.dirtyRenderBounds.update(z.center,z.halfExtents));var re=z.getMin(),ae=(0,zn.Z)(re,2),se=ae[0],fe=ae[1],me=z.getMax(),Ae=(0,zn.Z)(me,2),Le=Ae[0],ke=Ae[1];b.aabb||(b.aabb={}),b.aabb.displayObject=y,b.aabb.minX=se,b.aabb.minY=fe,b.aabb.maxX=Le,b.aabb.maxY=ke}if(b.aabb&&!isNaN(b.aabb.maxX)&&!isNaN(b.aabb.maxX)&&!isNaN(b.aabb.minX)&&!isNaN(b.aabb.minY))return b.aabb}}},{key:"syncRTree",value:function(){var y=this,x=arguments.length>0&&arguments[0]!==void 0?arguments[0]:!1;if(!(!x&&(this.syncing||this.syncTasks.size===0))){this.syncing=!0;var b=[],z=new Set,ee=function(ae){if(!z.has(ae)&&ae.renderable){var se=y.syncNode(ae,x);se&&(b.push(se),z.add(ae))}};this.syncTasks.forEach(function(re,ae){re&&ae.forEach(ee);for(var se=ae;se;)ee(se),se=se.parentElement}),this.rBush.load(b),b.length=0,this.syncing=!1}}}])}();IP.tag="Prepare";function wX(E){return!!E.document}var Fc=function(E){return E.READY="ready",E.BEFORE_RENDER="beforerender",E.RERENDER="rerender",E.AFTER_RENDER="afterrender",E.BEFORE_DESTROY="beforedestroy",E.AFTER_DESTROY="afterdestroy",E.RESIZE="resize",E.DIRTY_RECTANGLE="dirtyrectangle",E.RENDERER_CHANGED="rendererchanged",E}({}),TP=500,wN=.1,MN=1e3,Gm=new ru(ys.MOUNTED),Hm=new ru(ys.UNMOUNTED),QE=new ru(Fc.BEFORE_RENDER),OP=new ru(Fc.RERENDER),YE=new ru(Fc.AFTER_RENDER),XE=function(E){function a(y){var x;(0,mr.Z)(this,a),x=Lr(this,a),x.Element=gl,x.inited=!1,x.context={};var b=y.container,z=y.canvas,ee=y.renderer,re=y.width,ae=y.height,se=y.background,fe=y.cursor,me=y.supportsMutipleCanvasesInOneContainer,Ae=y.cleanUpOnDestroy,Le=Ae===void 0?!0:Ae,ke=y.offscreenCanvas,ze=y.devicePixelRatio,je=y.requestAnimationFrame,Ke=y.cancelAnimationFrame,Ze=y.createImage,Je=y.supportsTouchEvents,tt=y.supportsPointerEvents,it=y.isTouchEvent,st=y.isMouseEvent,dt=y.dblClickSpeed,lt=re,wt=ae,Bt=ze||_E&&window.devicePixelRatio||1;return Bt=Bt>=1?Math.ceil(Bt):1,z&&(lt=re||r6(z)||z.width/Bt,wt=ae||a6(z)||z.height/Bt),x.customElements=new bN,x.devicePixelRatio=Bt,x.requestAnimationFrame=je!=null?je:UE.bind(Ka.globalThis),x.cancelAnimationFrame=Ke!=null?Ke:mP.bind(Ka.globalThis),x.createImage=Ze!=null?Ze:function(){return new window.Image},x.supportsTouchEvents=Je!=null?Je:"ontouchstart"in Ka.globalThis,x.supportsPointerEvents=tt!=null?tt:!!Ka.globalThis.PointerEvent,x.isTouchEvent=it!=null?it:function(Ht){return x.supportsTouchEvents&&Ht instanceof Ka.globalThis.TouchEvent},x.isMouseEvent=st!=null?st:function(Ht){return!Ka.globalThis.MouseEvent||Ht instanceof Ka.globalThis.MouseEvent&&(!x.supportsPointerEvents||!(Ht instanceof Ka.globalThis.PointerEvent))},ke&&(Ka.offscreenCanvas=ke),x.document=new wP,x.document.defaultView=x,me||$B(b,x,Le),x.initRenderingContext((0,Sr.Z)((0,Sr.Z)({},y),{},{width:lt,height:wt,background:se!=null?se:"transparent",cursor:fe!=null?fe:"default",cleanUpOnDestroy:Le,devicePixelRatio:Bt,requestAnimationFrame:x.requestAnimationFrame,cancelAnimationFrame:x.cancelAnimationFrame,createImage:x.createImage,supportsTouchEvents:x.supportsTouchEvents,supportsPointerEvents:x.supportsPointerEvents,isTouchEvent:x.isTouchEvent,isMouseEvent:x.isMouseEvent,dblClickSpeed:dt!=null?dt:200})),x.initDefaultCamera(lt,wt,ee.clipSpaceNearZ),x.initRenderer(ee,!0),x}return(0,va.Z)(a,E),(0,$n.Z)(a,[{key:"initRenderingContext",value:function(x){this.context.config=x,this.context.renderingContext={root:this.document.documentElement,unculledEntities:[],renderReasons:new Set,force:!1,dirty:!1}}},{key:"initDefaultCamera",value:function(x,b,z){var ee=this,re=new Ka.CameraContribution;re.clipSpaceNearZ=z,re.setType(rl.EXPLORING,EE.DEFAULT).setPosition(x/2,b/2,TP).setFocalPoint(x/2,b/2,0).setOrthographic(x/-2,x/2,b/2,b/-2,wN,MN),re.canvas=this,re.eventEmitter.on(xC.UPDATED,function(){ee.context.renderingContext.renderReasons.add(o0.CAMERA_CHANGED),Ka.enableSizeAttenuation&&ee.getConfig().renderer.getConfig().enableSizeAttenuation&&ee.updateSizeAttenuation()}),this.context.camera=re}},{key:"updateSizeAttenuation",value:function(){var x=this.getCamera().getZoom();this.document.documentElement.forEach(function(b){Ka.styleValueRegistry.updateSizeAttenuation(b,x)})}},{key:"getConfig",value:function(){return this.context.config}},{key:"getRoot",value:function(){return this.document.documentElement}},{key:"getCamera",value:function(){return this.context.camera}},{key:"getContextService",value:function(){return this.context.contextService}},{key:"getEventService",value:function(){return this.context.eventService}},{key:"getRenderingService",value:function(){return this.context.renderingService}},{key:"getRenderingContext",value:function(){return this.context.renderingContext}},{key:"getStats",value:function(){return this.getRenderingService().getStats()}},{key:"ready",get:function(){var x=this;return this.readyPromise||(this.readyPromise=new Promise(function(b){x.resolveReadyPromise=function(){b(x)}}),this.inited&&this.resolveReadyPromise()),this.readyPromise}},{key:"destroy",value:function(){var x,b=arguments.length>0&&arguments[0]!==void 0?arguments[0]:!0,z=arguments.length>1?arguments[1]:void 0;nu.clearCache();var ee=((x=this.getConfig().future)===null||x===void 0?void 0:x.experimentalCancelEventPropagation)===!0;z||this.dispatchEvent(new ru(Fc.BEFORE_DESTROY),ee,ee),this.frameId&&this.cancelAnimationFrame(this.frameId);var re=this.getRoot();b&&(this.unmountChildren(re),this.document.destroy(),this.getEventService().destroy()),this.getRenderingService().destroy(),this.getContextService().destroy(),this.context.rBushRoot&&this.context.rBushRoot.clear(),z||this.dispatchEvent(new ru(Fc.AFTER_DESTROY),ee,ee);var ae=function(fe){fe.currentTarget=null,fe.manager=null,fe.target=null,fe.relatedNode=null};ae(Gm),ae(Hm),ae(QE),ae(OP),ae(YE),ae(af),ae(VE),ae(KE),ae(PP)}},{key:"changeSize",value:function(x,b){this.resize(x,b)}},{key:"resize",value:function(x,b){var z,ee=this.context.config;ee.width=x,ee.height=b,this.getContextService().resize(x,b);var re=this.context.camera,ae=re.getProjectionMode();re.setPosition(x/2,b/2,TP).setFocalPoint(x/2,b/2,0),ae===ad.ORTHOGRAPHIC?re.setOrthographic(x/-2,x/2,b/2,b/-2,re.getNear(),re.getFar()):re.setAspect(x/b);var se=((z=ee.future)===null||z===void 0?void 0:z.experimentalCancelEventPropagation)===!0;this.dispatchEvent(new ru(Fc.RESIZE,{width:x,height:b}),se,se)}},{key:"appendChild",value:function(x,b){return this.document.documentElement.appendChild(x,b)}},{key:"insertBefore",value:function(x,b){return this.document.documentElement.insertBefore(x,b)}},{key:"removeChild",value:function(x){return this.document.documentElement.removeChild(x)}},{key:"removeChildren",value:function(){this.document.documentElement.removeChildren()}},{key:"destroyChildren",value:function(){this.document.documentElement.destroyChildren()}},{key:"render",value:function(x){var b,z=this;x&&(QE.detail=x,YE.detail=x);var ee=((b=this.getConfig().future)===null||b===void 0?void 0:b.experimentalCancelEventPropagation)===!0;this.dispatchEvent(QE,ee,ee);var re=this.getRenderingService();re.render(this.getConfig(),x,function(){z.dispatchEvent(OP,ee,ee)}),this.dispatchEvent(YE,ee,ee)}},{key:"run",value:function(){var x=this,b=function(ee,re){x.render(re),x.frameId=x.requestAnimationFrame(b)};b()}},{key:"initRenderer",value:function(x){var b=this,z=arguments.length>1&&arguments[1]!==void 0?arguments[1]:!1;if(!x)throw new Error("Renderer is required.");this.inited=!1,this.readyPromise=void 0,this.context.rBushRoot=new ZO,this.context.renderingPlugins=[],this.context.renderingPlugins.push(new DP,new IP,new MP([new PN])),this.loadRendererContainerModule(x),this.context.contextService=new this.context.ContextService((0,Sr.Z)((0,Sr.Z)({},Ka),this.context)),this.context.renderingService=new z6(Ka,this.context),this.context.eventService=new _6(Ka,this.context),this.context.eventService.init(),this.context.contextService.init?(this.context.contextService.init(),this.initRenderingService(x,z,!0)):this.context.contextService.initAsync().then(function(){b.initRenderingService(x,z)}).catch(function(ee){console.error(ee)})}},{key:"initRenderingService",value:function(x){var b=this,z=arguments.length>1&&arguments[1]!==void 0?arguments[1]:!1,ee=arguments.length>2&&arguments[2]!==void 0?arguments[2]:!1;this.context.renderingService.init(function(){var re;b.inited=!0;var ae=((re=b.getConfig().future)===null||re===void 0?void 0:re.experimentalCancelEventPropagation)===!0;z?ee?b.requestAnimationFrame(function(){b.dispatchEvent(new ru(Fc.READY),ae,ae)}):b.dispatchEvent(new ru(Fc.READY),ae,ae):b.dispatchEvent(new ru(Fc.RENDERER_CHANGED),ae,ae),b.readyPromise&&b.resolveReadyPromise(),z||b.getRoot().forEach(function(se){var fe,me;(fe=(me=se).dirty)===null||fe===void 0||fe.call(me,!0,!0)}),b.mountChildren(b.getRoot()),x.getConfig().enableAutoRendering&&b.run()})}},{key:"loadRendererContainerModule",value:function(x){var b=this,z=x.getPlugins();z.forEach(function(ee){ee.context=b.context,ee.init(Ka)})}},{key:"setRenderer",value:function(x){var b=this.getConfig();if(b.renderer!==x){var z=b.renderer;b.renderer=x,this.destroy(!1,!0),(0,fa.Z)((z==null?void 0:z.getPlugins())||[]).reverse().forEach(function(ee){ee.destroy(Ka)}),this.initRenderer(x)}}},{key:"setCursor",value:function(x){var b=this.getConfig();b.cursor=x,this.getContextService().applyCursorStyle(x)}},{key:"unmountChildren",value:function(x){var b=this;if(x.childNodes.forEach(function(re){b.unmountChildren(re)}),this.inited){if(x.isMutationObserved)x.dispatchEvent(Hm);else{var z,ee=((z=this.getConfig().future)===null||z===void 0?void 0:z.experimentalCancelEventPropagation)===!0;Hm.target=x,this.dispatchEvent(Hm,!0,ee)}x!==this.document.documentElement&&(x.ownerDocument=null),x.isConnected=!1}x.isCustomElement&&x.disconnectedCallback&&x.disconnectedCallback()}},{key:"mountChildren",value:function(x){var b=this,z=arguments.length>1&&arguments[1]!==void 0?arguments[1]:Rm(x);if(this.inited){if(!x.isConnected&&(x.ownerDocument=this.document,x.isConnected=!0,!z))if(x.isMutationObserved)x.dispatchEvent(Gm);else{var ee,re=((ee=this.getConfig().future)===null||ee===void 0?void 0:ee.experimentalCancelEventPropagation)===!0;Gm.target=x,this.dispatchEvent(Gm,!0,re)}}else console.warn("[g]: You are trying to call `canvas.appendChild` before canvas' initialization finished. You can either await `canvas.ready` or listen to `CanvasEvent.READY` manually.","appended child: ",x.nodeName);x.childNodes.forEach(function(ae){b.mountChildren(ae,z)}),x.isCustomElement&&x.connectedCallback&&x.connectedCallback()}},{key:"mountFragment",value:function(x){this.mountChildren(x,!1)}},{key:"client2Viewport",value:function(x){return this.getEventService().client2Viewport(x)}},{key:"viewport2Client",value:function(x){return this.getEventService().viewport2Client(x)}},{key:"viewport2Canvas",value:function(x){return this.getEventService().viewport2Canvas(x)}},{key:"canvas2Viewport",value:function(x){return this.getEventService().canvas2Viewport(x)}},{key:"getPointByClient",value:function(x,b){return this.client2Viewport({x,y:b})}},{key:"getClientByPoint",value:function(x,b){return this.viewport2Client({x,y:b})}}])}(AP);var DN=function(E){function a(){var y;(0,mr.Z)(this,a);for(var x=arguments.length,b=new Array(x),z=0;z90)return this;this.computeMatrix()}return this._getAxes(),this.type===rl.ORBITING||this.type===rl.EXPLORING?this._getPosition():this.type===rl.TRACKING&&this._getFocalPoint(),this._update(),this}},{key:"pan",value:function(x,b){var z=ec(x,b,0),ee=po(this.position);return Ps(ee,ee,Ss(ai(),this.right,z[0])),Ps(ee,ee,Ss(ai(),this.up,z[1])),this._setPosition(ee),this.triggerUpdate(),this}},{key:"dolly",value:function(x){var b=this.forward,z=po(this.position),ee=x*this.dollyingStep,re=this.distance+x*this.dollyingStep;return ee=Math.max(Math.min(re,this.maxDistance),this.minDistance)-this.distance,z[0]+=ee*b[0],z[1]+=ee*b[1],z[2]+=ee*b[2],this._setPosition(z),this.type===rl.ORBITING||this.type===rl.EXPLORING?this._getDistance():this.type===rl.TRACKING&&Ps(this.focalPoint,z,this.distanceVector),this.triggerUpdate(),this}},{key:"cancelLandmarkAnimation",value:function(){this.landmarkAnimationID!==void 0&&this.canvas.cancelAnimationFrame(this.landmarkAnimationID)}},{key:"createLandmark",value:function(x){var b,z,ee,re,ae=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{},se=ae.position,fe=se===void 0?this.position:se,me=ae.focalPoint,Ae=me===void 0?this.focalPoint:me,Le=ae.roll,ke=ae.zoom,ze=new Ka.CameraContribution;ze.setType(this.type,void 0),ze.setPosition(fe[0],(b=fe[1])!==null&&b!==void 0?b:this.position[1],(z=fe[2])!==null&&z!==void 0?z:this.position[2]),ze.setFocalPoint(Ae[0],(ee=Ae[1])!==null&&ee!==void 0?ee:this.focalPoint[1],(re=Ae[2])!==null&&re!==void 0?re:this.focalPoint[2]),ze.setRoll(Le!=null?Le:this.roll),ze.setZoom(ke!=null?ke:this.zoom);var je={name:x,matrix:Ts(ze.getWorldTransform()),right:po(ze.right),up:po(ze.up),forward:po(ze.forward),position:po(ze.getPosition()),focalPoint:po(ze.getFocalPoint()),distanceVector:po(ze.getDistanceVector()),distance:ze.getDistance(),dollyingStep:ze.getDollyingStep(),azimuth:ze.getAzimuth(),elevation:ze.getElevation(),roll:ze.getRoll(),relAzimuth:ze.relAzimuth,relElevation:ze.relElevation,relRoll:ze.relRoll,zoom:ze.getZoom()};return this.landmarks.push(je),je}},{key:"gotoLandmark",value:function(x){var b=this,z=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{},ee=Ws(x)?this.landmarks.find(function(Ht){return Ht.name===x}):x;if(ee){var re=ji(z)?{duration:z}:z,ae=re.easing,se=ae===void 0?"linear":ae,fe=re.duration,me=fe===void 0?100:fe,Ae=re.easingFunction,Le=Ae===void 0?void 0:Ae,ke=re.onfinish,ze=ke===void 0?void 0:ke,je=re.onframe,Ke=je===void 0?void 0:je,Ze=.01;this.cancelLandmarkAnimation();var Je=ee.position,tt=ee.focalPoint,it=ee.zoom,st=ee.roll,dt=Le||Ka.EasingFunction(se),lt,wt=function(){b.setFocalPoint(tt),b.setPosition(Je),b.setRoll(st),b.setZoom(it),b.computeMatrix(),b.triggerUpdate(),ze==null||ze()};if(me===0)return wt();var Bt=function(Qt){lt===void 0&&(lt=Qt);var hn=Qt-lt;if(hn>=me){wt();return}var nn=dt(hn/me),wn=ai(),Jn=ai(),pn=1,En=0;kh(wn,b.focalPoint,tt,nn),kh(Jn,b.position,Je,nn),En=b.roll*(1-nn)+st*nn,pn=b.zoom*(1-nn)+it*nn,b.setFocalPoint(wn),b.setPosition(Jn),b.setRoll(En),b.setZoom(pn);var Cn=xf(wn,tt)+xf(Jn,Je);if(Cn<=Ze&&it===void 0&&st===void 0)return wt();b.computeMatrix(),b.triggerUpdate(),hn0&&Number(this._currentTime)>=this._totalDuration||this._playbackRate<0&&Number(this._currentTime)<=0)}},{key:"totalDuration",get:function(){return this._totalDuration}},{key:"_needsTick",get:function(){return this.pending||this.playState==="running"||!this._finishedFlag}},{key:"updatePromises",value:function(){var y;if((y=this.effect.target)!==null&&y!==void 0&&y.destroyed)return this.readyPromise=void 0,this.finishedPromise=void 0,!1;var x=this.oldPlayState,b=this.pending?"pending":this.playState;return this.readyPromise&&b!==x&&(b==="idle"?(this.rejectReadyPromise(),this.readyPromise=void 0):x==="pending"?this.resolveReadyPromise():b==="pending"&&(this.readyPromise=void 0)),this.finishedPromise&&b!==x&&(b==="idle"?(this.rejectFinishedPromise(),this.finishedPromise=void 0):b==="finished"?this.resolveFinishedPromise():x==="finished"&&(this.finishedPromise=void 0)),this.oldPlayState=b,this.readyPromise||this.finishedPromise}},{key:"play",value:function(){this.updatePromises(),this._paused=!1,(this._isFinished||this._idle)&&(this.rewind(),this._startTime=null),this._finishedFlag=!1,this._idle=!1,this.ensureAlive(),this.timeline.applyDirtiedAnimation(this),this.timeline.animations.indexOf(this)===-1&&this.timeline.animations.push(this),this.updatePromises()}},{key:"pause",value:function(){this.updatePromises(),this.currentTime&&(this._holdTime=this.currentTime),!this._isFinished&&!this._paused&&!this._idle?this.currentTimePending=!0:this._idle&&(this.rewind(),this._idle=!1),this._startTime=null,this._paused=!0,this.updatePromises()}},{key:"finish",value:function(){this.updatePromises(),!this._idle&&(this.currentTime=this._playbackRate>0?this._totalDuration:0,this._startTime=this._totalDuration-this.currentTime,this.currentTimePending=!1,this.timeline.applyDirtiedAnimation(this),this.updatePromises())}},{key:"cancel",value:function(){var y=this;if(this.updatePromises(),!!this._inEffect&&(this._inEffect=!1,this._idle=!0,this._paused=!1,this._finishedFlag=!0,this._currentTime=0,this._startTime=null,this.effect.update(null),this.timeline.applyDirtiedAnimation(this),this.updatePromises(),this.oncancel)){var x=new eA(null,this,this.currentTime,null);setTimeout(function(){y.oncancel(x)})}}},{key:"reverse",value:function(){this.updatePromises();var y=this.currentTime;this.playbackRate*=-1,this.play(),y!==null&&(this.currentTime=y),this.updatePromises()}},{key:"updatePlaybackRate",value:function(y){this.playbackRate=y}},{key:"targetAnimations",value:function(){var y,x=(y=this.effect)===null||y===void 0?void 0:y.target;return x.getAnimations()}},{key:"markTarget",value:function(){var y=this.targetAnimations();y.indexOf(this)===-1&&y.push(this)}},{key:"unmarkTarget",value:function(){var y=this.targetAnimations(),x=y.indexOf(this);x!==-1&&y.splice(x,1)}},{key:"tick",value:function(y,x){!this._idle&&!this._paused&&(this._startTime===null?x&&(this.startTime=y-this._currentTime/this.playbackRate):this._isFinished||this.tickCurrentTime((y-this._startTime)*this.playbackRate)),x&&(this.currentTimePending=!1,this.fireEvents(y))}},{key:"rewind",value:function(){if(this.playbackRate>=0)this.currentTime=0;else if(this._totalDuration<1/0)this.currentTime=this._totalDuration;else throw new Error("Unable to rewind negative playback rate animation with infinite duration")}},{key:"persist",value:function(){throw new Error(tl)}},{key:"addEventListener",value:function(y,x,b){throw new Error(tl)}},{key:"removeEventListener",value:function(y,x,b){throw new Error(tl)}},{key:"dispatchEvent",value:function(y){throw new Error(tl)}},{key:"commitStyles",value:function(){throw new Error(tl)}},{key:"ensureAlive",value:function(){if(this.playbackRate<0&&this.currentTime===0){var 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0||x===void 0)&&(this.pointerByTouch.push({x:y,y:x,pointerId:a.pointerId}),a.pointerType==="touch"&&this.pointerByTouch.length===2)){Ql.isPinching=!0;const b=this.pointerByTouch[0].x-this.pointerByTouch[1].x,z=this.pointerByTouch[0].y-this.pointerByTouch[1].y;this.initialDistance=Math.sqrt(b*b+z*z),Ql.callbacks.pinchstart.forEach(ee=>ee(a,{scale:0}))}}onPointerMove(a){if(this.pointerByTouch.length!==2||this.initialDistance===null)return;const{x:y,y:x}=a.client||{};if(y===void 0||x===void 0)return;this.updatePointerPosition(a.pointerId,y,x);const b=this.pointerByTouch[0].x-this.pointerByTouch[1].x,z=this.pointerByTouch[0].y-this.pointerByTouch[1].y,re=Math.sqrt(b*b+z*z)/this.initialDistance;Ql.callbacks.pinchmove.forEach(ae=>ae(a,{scale:(re-1)*5}))}onPointerUp(a){var y;Ql.callbacks.pinchend.forEach(x=>x(a,{scale:0})),Ql.isPinching=!1,this.initialDistance=null,this.pointerByTouch=[],(y=Ql.instance)===null||y===void 0||y.tryDestroy()}destroy(){this.emitter.off(Ea.POINTER_DOWN,this.onPointerDown),this.emitter.off(Ea.POINTER_MOVE,this.onPointerMove),this.emitter.off(Ea.POINTER_UP,this.onPointerUp),Ql.instance=null}off(a,y){const x=Ql.callbacks[a].indexOf(y);x>-1&&Ql.callbacks[a].splice(x,1),this.tryDestroy()}tryDestroy(){Object.values(Ql.callbacks).every(a=>a.length===0)&&this.destroy()}}Ql.isPinching=!1,Ql.instance=null,Ql.callbacks={pinchstart:[],pinchmove:[],pinchend:[]};const nw=E=>E.map(a=>Ws(a)?a.toLocaleLowerCase():a);class d0{constructor(a){this.map=new Map,this.boundHandlePinch=()=>{},this.recordKey=new Set,this.onKeyDown=y=>{y!=null&&y.key&&(this.recordKey.add(y.key),this.trigger(y))},this.onKeyUp=y=>{y!=null&&y.key&&this.recordKey.delete(y.key)},this.onWheel=y=>{this.triggerExtendKey(Ea.WHEEL,y)},this.onDrag=y=>{this.triggerExtendKey(Ea.DRAG,y)},this.handlePinch=(y,x)=>{this.triggerExtendKey(Ea.PINCH,Object.assign(Object.assign({},y),x))},this.onFocus=()=>{this.recordKey.clear()},this.emitter=a,this.bindEvents()}bind(a,y){a.length!==0&&(a.includes(Ea.PINCH)&&!this.pinchHandler&&(this.boundHandlePinch=this.handlePinch.bind(this),this.pinchHandler=new Ql(this.emitter,"pinchmove",this.boundHandlePinch)),this.map.set(a,y))}unbind(a,y){this.map.forEach((x,b)=>{Zl(b,a)&&(!y||y===x)&&this.map.delete(b)})}unbindAll(){this.map.clear()}match(a){const y=nw(Array.from(this.recordKey)).sort(),x=nw(a).sort();return Zl(y,x)}bindEvents(){var a;const{emitter:y}=this;y.on(Ea.KEY_DOWN,this.onKeyDown),y.on(Ea.KEY_UP,this.onKeyUp),y.on(Ea.WHEEL,this.onWheel),y.on(Ea.DRAG,this.onDrag),(a=globalThis.addEventListener)===null||a===void 0||a.call(globalThis,"focus",this.onFocus)}trigger(a){this.map.forEach((y,x)=>{this.match(x)&&y(a)})}triggerExtendKey(a,y){this.map.forEach((x,b)=>{b.includes(a)&&Zl(Array.from(this.recordKey),b.filter(z=>z!==a))&&x(y)})}destroy(){var a,y;this.unbindAll(),this.emitter.off(Ea.KEY_DOWN,this.onKeyDown),this.emitter.off(Ea.KEY_UP,this.onKeyUp),this.emitter.off(Ea.WHEEL,this.onWheel),this.emitter.off(Ea.DRAG,this.onDrag),(a=this.pinchHandler)===null||a===void 0||a.off("pinchmove",this.boundHandlePinch),(y=globalThis.removeEventListener)===null||y===void 0||y.call(globalThis,"blur",this.onFocus)}}class pv extends _c{constructor(a,y){super(a,nc({},pv.defaultOptions,y)),this.shortcut=new d0(a.graph),this.onPointerDown=this.onPointerDown.bind(this),this.onPointerMove=this.onPointerMove.bind(this),this.onPointerUp=this.onPointerUp.bind(this),this.clearStates=this.clearStates.bind(this),this.bindEvents()}onPointerDown(a){if(!this.validate(a)||!this.isKeydown()||this.startPoint)return;const{canvas:y,graph:x}=this.context,b=Object.assign({},this.options.style);this.options.style.lineWidth&&(b.lineWidth=+this.options.style.lineWidth/x.getZoom()),this.rectShape=new Iu({id:"g6-brush-select",style:b}),y.appendChild(this.rectShape),this.startPoint=[a.canvas.x,a.canvas.y]}onPointerMove(a){var y;if(!this.startPoint)return;const{immediately:x,mode:b}=this.options;this.endPoint=Dp(a),(y=this.rectShape)===null||y===void 0||y.attr({x:Math.min(this.endPoint[0],this.startPoint[0]),y:Math.min(this.endPoint[1],this.startPoint[1]),width:Math.abs(this.endPoint[0]-this.startPoint[0]),height:Math.abs(this.endPoint[1]-this.startPoint[1])}),x&&b==="default"&&this.updateElementsStates(tw(this.startPoint,this.endPoint))}onPointerUp(a){if(this.startPoint){if(!this.endPoint){this.clearBrush();return}this.endPoint=Dp(a),this.updateElementsStates(tw(this.startPoint,this.endPoint)),this.clearBrush()}}clearStates(){this.endPoint||this.clearElementsStates()}clearElementsStates(){const{graph:a}=this.context,y=Object.values(a.getData()).reduce((x,b)=>Object.assign({},x,b.reduce((z,ee)=>{var re;const ae=(re=ee.states||[])===null||re===void 0?void 0:re.filter(se=>se!==this.options.state);return z[Nr(ee)]=ae,z},{})),{});a.setElementState(y,this.options.animation)}updateElementsStates(a){const{graph:y}=this.context,{enableElements:x,state:b,mode:z,onSelect:ee}=this.options,re=this.selector(y,a,x);let ae={};switch(z){case"union":re.forEach(se=>{ae[se]=[...y.getElementState(se),b]});break;case"diff":re.forEach(se=>{const fe=y.getElementState(se);ae[se]=fe.includes(b)?fe.filter(me=>me!==b):[...fe,b]});break;case"intersect":re.forEach(se=>{const fe=y.getElementState(se);ae[se]=fe.includes(b)?[b]:[]});break;case"default":default:re.forEach(se=>{ae[se]=[b]});break}qi(ee)&&(ae=ee(ae)),y.setElementState(ae,this.options.animation)}selector(a,y,x){if(!x||x.length===0)return[];const b=[],z=a.getData();if(x.forEach(ee=>{z[`${ee}s`].forEach(re=>{const ae=Nr(re);a.getElementVisibility(ae)!=="hidden"&&R8(a.getElementPosition(ae),y)&&b.push(ae)})}),x.includes("edge")){const ee=z.edges;ee==null||ee.forEach(re=>{const{source:ae,target:se}=re;b.includes(ae)&&b.includes(se)&&b.push(Nr(re))})}return b}clearBrush(){var a;(a=this.rectShape)===null||a===void 0||a.remove(),this.rectShape=void 0,this.startPoint=void 0,this.endPoint=void 0}isKeydown(){const{trigger:a}=this.options,y=Array.isArray(a)?a:[a];return this.shortcut.match(y.filter(x=>x!=="drag"))}validate(a){if(this.destroyed)return!1;const{enable:y}=this.options;return qi(y)?y(a):!!y}bindEvents(){const{graph:a}=this.context;a.on(Ea.POINTER_DOWN,this.onPointerDown),a.on(Ea.POINTER_MOVE,this.onPointerMove),a.on(Ea.POINTER_UP,this.onPointerUp),a.on(Df.CLICK,this.clearStates)}unbindEvents(){const{graph:a}=this.context;a.off(Ea.POINTER_DOWN,this.onPointerDown),a.off(Ea.POINTER_MOVE,this.onPointerMove),a.off(Ea.POINTER_UP,this.onPointerUp),a.off(Df.CLICK,this.clearStates)}update(a){this.unbindEvents(),this.options=nc(this.options,a),this.bindEvents()}destroy(){this.unbindEvents(),super.destroy()}}pv.defaultOptions={animation:!1,enable:!0,enableElements:["node","combo","edge"],immediately:!1,mode:"default",state:"selected",trigger:["shift"],style:{width:0,height:0,lineWidth:1,fill:"#1677FF",stroke:"#1677FF",fillOpacity:.1,zIndex:2,pointerEvents:"none"}};const Dp=E=>[E.canvas.x,E.canvas.y],Bf=.8,pg=["node","edge","combo"];function yg(E,a,y,x,b=0){x==="TB"&&a(E,b);const z=y(E);if(z)for(const ee of z)yg(ee,a,y,x,b+1);x==="BT"&&a(E,b)}function W8(E,a,y){const x=[[E,0]];for(;x.length;){const[b,z]=x.shift();a(b,z);const ee=y(b);if(ee)for(const re of ee)x.push([re,z+1])}}function rw(E,a,y,x,b="both"){if(a==="combo"||a==="node")return IA(E,y,x,b);const z=E.getEdgeData(y);if(!z)return[];const ee=IA(E,z.source,x-1,b),re=IA(E,z.target,x-1,b);return Array.from(new Set([...ee,...re,y]))}function IA(E,a,y,x="both"){const b=new Set,z=new Set,ee=new Set;return W8(a,(re,ae)=>{ae>y||(ee.add(re),E.getRelatedEdgesData(re,x).forEach(se=>{const fe=Nr(se);!z.has(fe)&&aeE.getRelatedEdgesData(re,x).map(ae=>ae.source===re?ae.target:ae.source).filter(ae=>b.has(ae)?!1:(b.add(ae),!0))),Array.from(ee)}function TA(E){return E.states||[]}var Ip=function(E,a,y,x){function b(z){return z instanceof y?z:new y(function(ee){ee(z)})}return new(y||(y=Promise))(function(z,ee){function re(fe){try{se(x.next(fe))}catch(me){ee(me)}}function ae(fe){try{se(x.throw(fe))}catch(me){ee(me)}}function se(fe){fe.done?z(fe.value):b(fe.value).then(re,ae)}se((x=x.apply(E,a||[])).next())})};class Tp extends _c{constructor(a,y){super(a,Object.assign({},Tp.defaultOptions,y)),this.onClickSelect=x=>Ip(this,void 0,void 0,function*(){var b,z;this.validate(x)&&(yield this.updateState(x),(z=(b=this.options).onClick)===null||z===void 0||z.call(b,x))}),this.onClickCanvas=x=>Ip(this,void 0,void 0,function*(){var b,z;this.validate(x)&&(yield this.clearState(),(z=(b=this.options).onClick)===null||z===void 0||z.call(b,x))}),this.shortcut=new d0(a.graph),this.bindEvents()}bindEvents(){const{graph:a}=this.context;this.unbindEvents(),pg.forEach(y=>{a.on(`${y}:${Ea.CLICK}`,this.onClickSelect)}),a.on(Df.CLICK,this.onClickCanvas)}get isMultipleSelect(){const{multiple:a,trigger:y}=this.options;return a&&this.shortcut.match(y)}getNeighborIds(a){const{target:y,targetType:x}=a,{graph:b}=this.context,{degree:z}=this.options;return rw(b,x,y.id,typeof z=="function"?z(a):z).filter(ee=>ee!==y.id)}updateState(a){return Ip(this,void 0,void 0,function*(){const{state:y,unselectedState:x,neighborState:b,animation:z}=this.options;if(!y&&!b&&!x)return;const{target:ee}=a,{graph:re}=this.context,ae=re.getElementData(ee.id),se=TA(ae).includes(y)?"unselect":"select",fe={},me=this.isMultipleSelect,Ae=[ee.id],Le=this.getNeighborIds(a);if(me)if(Object.assign(fe,this.getDataStates()),se==="select"){const ke=(ze,je)=>{ze.forEach(Ke=>{const Ze=new Set(re.getElementState(Ke));Ze.add(je),Ze.delete(x),fe[Ke]=Array.from(Ze)})};ke(Ae,y),ke(Le,b),x&&Object.keys(fe).forEach(ze=>{const je=fe[ze];!je.includes(y)&&!je.includes(b)&&!je.includes(x)&&fe[ze].push(x)})}else{const ke=fe[ee.id];fe[ee.id]=ke.filter(ze=>ze!==y&&ze!==b),ke.includes(x)||fe[ee.id].push(x),Le.forEach(ze=>{fe[ze]=fe[ze].filter(je=>je!==b),fe[ze].includes(y)||fe[ze].push(x)})}else if(se==="select"){Object.assign(fe,this.getClearStates(!!x));const ke=(ze,je)=>{ze.forEach(Ke=>{fe[Ke]||(fe[Ke]=re.getElementState(Ke)),fe[Ke].push(je)})};ke(Ae,y),ke(Le,b),x&&Object.keys(fe).forEach(ze=>{!Ae.includes(ze)&&!Le.includes(ze)&&fe[ze].push(x)})}else Object.assign(fe,this.getClearStates());yield re.setElementState(fe,z)})}getDataStates(){const{graph:a}=this.context,{nodes:y,edges:x,combos:b}=a.getData(),z={};return[...y,...x,...b].forEach(ee=>{z[Nr(ee)]=TA(ee)}),z}getClearStates(a=!1){const{graph:y}=this.context,{state:x,unselectedState:b,neighborState:z}=this.options,ee=new Set([x,b,z]),{nodes:re,edges:ae,combos:se}=y.getData(),fe={};return[...re,...ae,...se].forEach(me=>{const Ae=TA(me),Le=Ae.filter(ke=>!ee.has(ke));(a||Le.length!==Ae.length)&&(fe[Nr(me)]=Le)}),fe}clearState(){return Ip(this,void 0,void 0,function*(){const{graph:a}=this.context;yield a.setElementState(this.getClearStates(),this.options.animation)})}validate(a){if(this.destroyed)return!1;const{enable:y}=this.options;return qi(y)?y(a):!!y}unbindEvents(){const{graph:a}=this.context;pg.forEach(y=>{a.off(`${y}:${Ea.CLICK}`,this.onClickSelect)}),a.off(Df.CLICK,this.onClickCanvas)}destroy(){this.unbindEvents(),super.destroy()}}Tp.defaultOptions={animation:!0,enable:!0,multiple:!1,trigger:["shift"],state:"selected",neighborState:"selected",unselectedState:void 0,degree:0};function xc(E){var a;return!!(!((a=E.style)===null||a===void 0)&&a.collapsed)}var Sc=function(E,a,y){for(var x=0,b=Ws(a)?a.split("."):a;E&&x="A"&&y<="Z"}function aw(E,a){return`${a}${sp(E)}`}function iw(E,a,y=!0){if(!a||!Ev(E,a))return E;const x=E.slice(a.length);return y?G8(x):x}function au(E,a){const y=Object.entries(E).reduce((x,[b,z])=>(b==="className"||b==="class"||Ev(b,a)&&Object.assign(x,{[iw(b,a)]:z}),x),{});if("opacity"in E){const 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0){const{x:z=0,y:ee=0,z:re=0}=this.attributes;a.forEach(ae=>{const{x:se=z,y:fe=ee,z:me=re}=ae;Object.assign(ae,{transform:me?[["translate3d",se,fe,me]]:[["translate",se,fe]]})})}const b=super.animate(a,y);if(b&&(LA(this,b),x.push(b)),Array.isArray(a)&&a.length>0){const z=["transform","transformOrigin","x","y","z","zIndex"];if(Object.keys(a[0]).some(ee=>!z.includes(ee))){Object.entries(this.shapeMap).forEach(([re,ae])=>{const se=`get${sp(re)}Style`,fe=this[se];if(qi(fe)){const me=a.map(Le=>fe.call(this,Object.assign(Object.assign({},this.attributes),Le))),Ae=ae.animate(uA(me),y);Ae&&(LA(ae,Ae),x.push(Ae))}});const ee=(re,ae)=>{if(!cf(re)){const se=`get${sp(ae)}Style`,fe=this[se];if(qi(fe)){const me=a.map(Ae=>fe.call(this,Object.assign(Object.assign({},this.attributes),Ae)));Object.entries(me[0]).map(([Ae])=>{const Le=me.map(ze=>ze[Ae]),ke=re[Ae];if(ke){const ze=ke.animate(uA(Le),y);ze&&(LA(ke,ze),x.push(ze))}})}}};this.compositeShapes.forEach(([re,ae])=>{const se=OA(this.shapeMap,ae);ee(se,re)})}}return lA(x)}getShape(a){return this.shapeMap[a]}setVisibility(){const{visibility:a}=this.attributes;vg(this,a)}destroy(){this.shapeMap={},this.animateMap={},super.destroy()}}function LA(E,a){a==null||a.finished.then(()=>{const y=E.activeAnimations.findIndex(x=>x===a);y>-1&&E.activeAnimations.splice(y,1)})}function fw(E){if(!E)return{};if("x"in E||"y"in E||"z"in E){const{x:a=0,y=0,z:x,transform:b}=E,z=qP(a,y,x,b);z&&(E.transform=z)}return E}var rF=function(E,a){var y={};for(var x in E)Object.prototype.hasOwnProperty.call(E,x)&&a.indexOf(x)<0&&(y[x]=E[x]);if(E!=null&&typeof Object.getOwnPropertySymbols=="function")for(var b=0,x=Object.getOwnPropertySymbols(E);b{y.push([b===0?"M":"L",...x])}),a&&y.push(["Z"]),y}const hw={M:["x","y"],m:["dx","dy"],H:["x"],h:["dx"],V:["y"],v:["dy"],L:["x","y"],l:["dx","dy"],Z:[],z:[],C:["x1","y1","x2","y2","x","y"],c:["dx1","dy1","dx2","dy2","dx","dy"],S:["x2","y2","x","y"],s:["dx2","dy2","dx","dy"],Q:["x1","y1","x","y"],q:["dx1","dy1","dx","dy"],T:["x","y"],t:["dx","dy"],A:["rx","ry","rotation","large-arc","sweep","x","y"],a:["rx","ry","rotation","large-arc","sweep","dx","dy"]};function iF(E){const a=E.replace(/[\n\r]/g,"").replace(/-/g," -").replace(/(\d*\.)(\d+)(?=\.)/g,"$1$2 ").trim().split(/\s*,|\s+/),y=[];let x="",b={};for(;a.length>0;){let z=a.shift();z in hw?x=z:a.unshift(z),b={type:x},hw[x].forEach(ae=>{z=a.shift(),b[ae]=z}),x==="M"?x="L":x==="m"&&(x="l");const[ee,...re]=Object.values(b);y.push([ee,...re.map(Number)])}return y}function oF(E){const a=[];return(typeof E=="string"?iF(E):E).forEach(x=>{const b=x[0];if(b==="Z"){a.push(a[0]);return}if(b!=="A")for(let z=1;z{if(E.length<2)return[["M",0,0],["L",0,0]];const a=E[0],y=E[1],x=E[E.length-1],b=E[E.length-2];E.unshift(b,x),E.push(a,y);const z=[["M",x[0],x[1]]];for(let ee=1;ee{const je=ke,Ke=fe[(ze+1)%fe.length];return Zl(je,Ke)?null:[je,Ke]}).filter(Boolean),Ae=_8([re,ae],me),Le=ew([re,ae],Ae);if(Le&&Ae&&(se.transform=[["translate",Le[0]+y,Le[1]+x]],ee)){const ke=Math.atan((Ae[0][1]-Ae[1][1])/(Ae[0][0]-Ae[1][0]));se.transform.push(["rotate",ke/Math.PI*180]),se.textAlign="center",(a==="right"||a==="left")&&(ke>0?se.textBaseline=a==="right"?"bottom":"top":se.textBaseline=a==="right"?"top":"bottom")}return se}var lF=function(E,a){var y={};for(var x in E)Object.prototype.hasOwnProperty.call(E,x)&&a.indexOf(x)<0&&(y[x]=E[x]);if(E!=null&&typeof Object.getOwnPropertySymbols=="function")for(var b=0,x=Object.getOwnPropertySymbols(E);b{x!=null&&x.children.length&&x.children.forEach(b=>{a.push(b),y(b)})};return y(E),a}function cF(E){const a=[];let y=E.parentNode;for(;y;)a.push(y),y=y.parentNode;return a}class BA extends iv{constructor(a){super(a),this.onMounted=()=>{this.handleRadius()},this.onAttrModified=()=>{this.handleRadius()},h0=this,this.isMutationObserved=!0,this.addEventListener(ys.MOUNTED,this.onMounted),this.addEventListener(ys.ATTR_MODIFIED,this.onAttrModified)}handleRadius(){const{radius:a,clipPath:y,width:x=0,height:b=0}=this.attributes;if(a&&x&&b){const[z,ee]=this.getBounds().min,re={x:z,y:ee,radius:a,width:x,height:b};if(y)Object.assign(this.parsedStyle.clipPath.style,re);else{const ae=new Iu({style:re});this.style.clipPath=ae}}else y&&(this.style.clipPath=null)}}const NA=new WeakMap;let h0=null;const RA=E=>{if(h0&&cF(h0).includes(E)){const a=NA.get(E);a?a.includes(h0)||a.push(h0):NA.set(E,[h0])}},FA=E=>{const a=NA.get(E);a&&a.forEach(y=>y.handleRadius())};class vw extends Av{constructor(a){super(a)}isImage(){const{src:a}=this.attributes;return!!a}getIconStyle(a=this.attributes){const{width:y=0,height:x=0}=a,b=this.getGraphicStyle(a);return this.isImage()?Object.assign({x:-y/2,y:-x/2},b):Object.assign({textBaseline:"middle",textAlign:"center"},b)}render(a=this.attributes,y=this){this.upsert("icon",this.isImage()?BA:dg,this.getIconStyle(a),y)}}class mw extends Av{get context(){return this.config.context}get parsedAttributes(){return this.attributes}onframe(){}animate(a,y){const x=super.animate(a,y);return x&&(x.onframe=()=>this.onframe(),x.finished.then(()=>this.onframe())),x}}var Op=function(E,a){var y={};for(var x in E)Object.prototype.hasOwnProperty.call(E,x)&&a.indexOf(x)<0&&(y[x]=E[x]);if(E!=null&&typeof Object.getOwnPropertySymbols=="function")for(var b=0,x=Object.getOwnPropertySymbols(E);b{b[me]=!1}),a.badge===!1||!(!((y=a.badges)===null||y===void 0)&&y.length))return b;const{badges:z=[],badgePalette:ee,opacity:re=1}=a,ae=Op(a,["badges","badgePalette","opacity"]),se=uw(ee),fe=au(this.getGraphicStyle(ae),"badge");return z.forEach((me,Ae)=>{b[Ae]=Object.assign(Object.assign({backgroundFill:se?se[Ae%(se==null?void 0:se.length)]:void 0,opacity:re},fe),this.getBadgeStyle(me))}),b}getBadgeStyle(a){const y=this.getShape("key"),{placement:x="top",offsetX:b,offsetY:z}=a,ee=Op(a,["placement","offsetX","offsetY"]),re=Yw(y.getLocalBounds(),x,b,z,!0);return Object.assign(Object.assign({},re),ee)}getPortsStyle(a){var y;const x=this.getPorts(),b={};if(Object.keys(x).forEach(re=>{b[re]=!1}),a.port===!1||!(!((y=a.ports)===null||y===void 0)&&y.length))return b;const z=au(this.getGraphicStyle(a),"port"),{ports:ee=[]}=a;return ee.forEach((re,ae)=>{const se=re.key||ae,fe=Object.assign(Object.assign({},z),re);if(Kw(fe))b[se]=!1;else{const[me,Ae]=this.getPortXY(a,re);b[se]=Object.assign({transform:[["translate",me,Ae]]},fe)}}),b}getPortXY(a,y){const{placement:x="left"}=y,b=this.getShape("key");return XA(dF(this.context,b),x)}getPorts(){return OA(this.shapeMap,"port-")}getCenter(){return this.getShape("key").getBounds().center}getIntersectPoint(a,y=!1){const x=this.getShape("key").getBounds();return F8(a,x,y)}drawHaloShape(a,y){const x=this.getHaloStyle(a),b=this.getShape("key");this.upsert("halo",b.constructor,x,y)}drawIconShape(a,y){const x=this.getIconStyle(a);this.upsert("icon",vw,x,y),RA(this)}drawBadgeShapes(a,y){const x=this.getBadgesStyle(a);Object.keys(x).forEach(b=>{const z=x[b];this.upsert(`badge-${b}`,f0,z,y)})}drawPortShapes(a,y){const x=this.getPortsStyle(a);Object.keys(x).forEach(b=>{const z=x[b],ee=`port-${b}`;this.upsert(ee,wf,z,y)})}drawLabelShape(a,y){const x=this.getLabelStyle(a);this.upsert("label",dh,x,y)}_drawKeyShape(a,y){return this.drawKeyShape(a,y)}render(a=this.parsedAttributes,y=this){this._drawKeyShape(a,y),this.getShape("key")&&(this.drawHaloShape(a,y),this.drawIconShape(a,y),this.drawBadgeShapes(a,y),this.drawLabelShape(a,y),this.drawPortShapes(a,y))}update(a){super.update(a),a&&("x"in a||"y"in a||"z"in a)&&FA(this)}onframe(){this.drawBadgeShapes(this.parsedAttributes,this),this.drawLabelShape(this.parsedAttributes,this)}}Fd.defaultStyleProps={x:0,y:0,size:32,droppable:!0,draggable:!0,port:!0,ports:[],portZIndex:2,portLinkToCenter:!1,badge:!0,badges:[],badgeZIndex:3,halo:!1,haloDroppable:!1,haloLineDash:0,haloLineWidth:12,haloStrokeOpacity:.25,haloPointerEvents:"none",haloZIndex:-1,icon:!0,iconZIndex:1,label:!0,labelIsBillboard:!0,labelMaxWidth:"200%",labelPlacement:"bottom",labelWordWrap:!1,labelZIndex:0};function dF(E,a){if(!E)return a.getLocalBounds();const y=E.canvas.getLayer(),x=a.cloneNode();vg(x,"hidden"),y.appendChild(x);const b=x.getLocalBounds();return x.destroy(),b}class Eg extends Fd{constructor(a){super(xu({style:Eg.defaultStyleProps},a))}drawKeyShape(a,y){return this.upsert("key",wf,this.getKeyStyle(a),y)}getKeyStyle(a){const y=super.getKeyStyle(a);return Object.assign(Object.assign({},y),{r:Math.min(...this.getSize(a))/2})}getIconStyle(a){const y=super.getIconStyle(a),{r:x}=this.getShape("key").attributes,b=x*2*Bf;return y?Object.assign({width:b,height:b},y):!1}getIntersectPoint(a,y=!1){const x=this.getShape("key").getBounds();return Mp(a,x,y)}}Eg.defaultStyleProps={size:32};class Lp extends Fd{constructor(a){super(a)}get parsedAttributes(){return this.attributes}drawKeyShape(a,y){return this.upsert("key",cg,this.getKeyStyle(a),y)}getKeyStyle(a){const y=super.getKeyStyle(a);return Object.assign(Object.assign({},y),{points:this.getPoints(a)})}getIntersectPoint(a,y=!1){var x,b;const{points:z}=this.getShape("key").attributes,ee=[+(((x=this.attributes)===null||x===void 0?void 0:x.x)||0),+(((b=this.attributes)===null||b===void 0?void 0:b.y)||0)];return $2(a,ee,z,!0,y).point}}class fF extends Lp{constructor(a){super(a)}getPoints(a){const[y,x]=this.getSize(a);return nk(y,x)}}var hF=function(E,a){var y={};for(var x in E)Object.prototype.hasOwnProperty.call(E,x)&&a.indexOf(x)<0&&(y[x]=E[x]);if(E!=null&&typeof Object.getOwnPropertySymbols=="function")for(var b=0,x=Object.getOwnPropertySymbols(E);bji(me)?{value:me}:me),z=au(this.getGraphicStyle(a),"donut"),ee=uw(a.donutPalette);if(!ee)return;const re=b.reduce((me,Ae)=>{var Le;return me+((Le=Ae.value)!==null&&Le!==void 0?Le:0)},0),ae=this.parseOuterR(),se=this.parseInnerR();let fe=0;b.forEach((me,Ae)=>{const{value:Le=0,color:ke=ee[Ae%ee.length]}=me,ze=hF(me,["value","color"]),je=(re===0?1/b.length:Le/re)*360;this.upsert(`round${Ae}`,Rc,Object.assign(Object.assign(Object.assign({},z),{d:mF(ae,se,fe,fe+je),fill:ke}),ze),y),fe+=je})}render(a,y=this){super.render(a,y),this.drawDonutShape(a,y)}}Bp.defaultStyleProps={innerR:"50%",donuts:[],donutPalette:"tableau"};const Np=(E,a,y,x)=>[E+Math.sin(x)*y,a-Math.cos(x)*y],gF=(E,a,y,x)=>x<=0||y<=x?[["M",E-y,a],["A",y,y,0,1,1,E+y,a],["A",y,y,0,1,1,E-y,a],["Z"]]:[["M",E-y,a],["A",y,y,0,1,1,E+y,a],["A",y,y,0,1,1,E-y,a],["Z"],["M",E+x,a],["A",x,x,0,1,0,E-x,a],["A",x,x,0,1,0,E+x,a],["Z"]],vF=(E,a,y,x,b,z)=>{const[ee,re]=[b/360*2*Math.PI,z/360*2*Math.PI],ae=[Np(E,a,x,ee),Np(E,a,y,ee),Np(E,a,y,re),Np(E,a,x,re)],se=re-ee>Math.PI?1:0;return[["M",ae[0][0],ae[0][1]],["L",ae[1][0],ae[1][1]],["A",y,y,0,se,1,ae[2][0],ae[2][1]],["L",ae[3][0],ae[3][1]],["A",x,x,0,se,0,ae[0][0],ae[0][1]],["Z"]]},mF=(E=0,a=0,y,x)=>{const[b,z]=[0,0];return Math.abs(y-x)%360<1e-6?gF(b,z,E,a):vF(b,z,E,a,y,x)};class Rp extends Fd{constructor(a){super(xu({style:Rp.defaultStyleProps},a))}drawKeyShape(a,y){return this.upsert("key",rv,this.getKeyStyle(a),y)}getKeyStyle(a){const y=super.getKeyStyle(a),[x,b]=this.getSize(a);return Object.assign(Object.assign({},y),{rx:x/2,ry:b/2})}getIconStyle(a){const y=super.getIconStyle(a),{rx:x,ry:b}=this.getShape("key").attributes,z=Math.min(+x,+b)*2*Bf;return y?Object.assign({width:z,height:z},y):!1}getIntersectPoint(a,y=!1){const x=this.getShape("key").getBounds();return Mp(a,x,y)}}Rp.defaultStyleProps={size:[45,35]};class pF extends Lp{constructor(a){super(a)}getOuterR(a){return a.outerR||Math.min(...this.getSize(a))/2}getPoints(a){return ak(this.getOuterR(a))}getIconStyle(a){const y=super.getIconStyle(a),x=this.getOuterR(a)*Bf;return y?Object.assign({width:x,height:x},y):!1}}function yF(E,a){var y=a.cx,x=y===void 0?0:y,b=a.cy,z=b===void 0?0:b,ee=a.r;E.arc(x,z,ee,0,Math.PI*2,!1)}function EF(E,a){var y=a.cx,x=y===void 0?0:y,b=a.cy,z=b===void 0?0:b,ee=a.rx,re=a.ry;if(E.ellipse)E.ellipse(x,z,ee,re,0,0,Math.PI*2,!1);else{var ae=ee>re?ee:re,se=ee>re?1:ee/re,fe=ee>re?re/ee:1;E.save(),E.scale(se,fe),E.arc(x,z,ae,0,Math.PI*2)}}function AF(E,a){var y=a.x1,x=a.y1,b=a.x2,z=a.y2,ee=a.markerStart,re=a.markerEnd,ae=a.markerStartOffset,se=a.markerEndOffset,fe=0,me=0,Ae=0,Le=0,ke=0,ze,je;ee&&js(ee)&&ae&&(ze=b-y,je=z-x,ke=Math.atan2(je,ze),fe=Math.cos(ke)*(ae||0),me=Math.sin(ke)*(ae||0)),re&&js(re)&&se&&(ze=y-b,je=x-z,ke=Math.atan2(je,ze),Ae=Math.cos(ke)*(se||0),Le=Math.sin(ke)*(se||0)),E.moveTo(y+fe,x+me),E.lineTo(b+Ae,z+Le)}function xF(E,a){var y=a.markerStart,x=a.markerEnd,b=a.markerStartOffset,z=a.markerEndOffset,ee=a.d,re=ee.absolutePath,ae=ee.segments,se=0,fe=0,me=0,Ae=0,Le=0,ke,ze;if(y&&js(y)&&b){var je=y.parentNode.getStartTangent(),Ke=(0,zn.Z)(je,2),Ze=Ke[0],Je=Ke[1];ke=Ze[0]-Je[0],ze=Ze[1]-Je[1],Le=Math.atan2(ze,ke),se=Math.cos(Le)*(b||0),fe=Math.sin(Le)*(b||0)}if(x&&js(x)&&z){var tt=x.parentNode.getEndTangent(),it=(0,zn.Z)(tt,2),st=it[0],dt=it[1];ke=st[0]-dt[0],ze=st[1]-dt[1],Le=Math.atan2(ze,ke),me=Math.cos(Le)*(z||0),Ae=Math.sin(Le)*(z||0)}for(var 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x,b=(0,Sr.Z)({dirtyObjectNumThreshold:500,dirtyObjectRatioThreshold:.8},this.options),z=this.context.imagePool,ee=new jA(z),re=(x={},(0,Vi.Z)((0,Vi.Z)((0,Vi.Z)((0,Vi.Z)((0,Vi.Z)((0,Vi.Z)((0,Vi.Z)((0,Vi.Z)((0,Vi.Z)((0,Vi.Z)(x,ha.CIRCLE,ee),ha.ELLIPSE,ee),ha.RECT,ee),ha.IMAGE,new qF(z)),ha.TEXT,new $F(z)),ha.LINE,ee),ha.POLYLINE,ee),ha.POLYGON,ee),ha.PATH,ee),ha.GROUP,void 0),(0,Vi.Z)((0,Vi.Z)((0,Vi.Z)(x,ha.HTML,void 0),ha.MESH,void 0),ha.FRAGMENT,void 0));this.context.defaultStyleRendererFactory=re,this.context.styleRendererFactory=re,this.addRenderingPlugin(new Sw(b))}},{key:"destroy",value:function(){this.removeAllRenderingPlugins(),delete this.context.defaultStyleRendererFactory,delete this.context.styleRendererFactory}}])}(nh);var ww=function(){function E(){(0,mr.Z)(this,E)}return(0,$n.Z)(E,[{key:"apply",value:function(y,x){var b=this,z=y.renderingService,ee=y.renderingContext,re=y.config;this.context=y;var ae=ee.root.ownerDocument.defaultView,se=function(lt){z.hooks.pointerMove.call(lt)},fe=function(lt){z.hooks.pointerUp.call(lt)},me=function(lt){z.hooks.pointerDown.call(lt)},Ae=function(lt){z.hooks.pointerOver.call(lt)},Le=function(lt){z.hooks.pointerOut.call(lt)},ke=function(lt){z.hooks.pointerCancel.call(lt)},ze=function(lt){z.hooks.pointerWheel.call(lt)},je=function(lt){z.hooks.click.call(lt)},Ke=function(lt){x.globalThis.document.addEventListener("pointermove",se,!0),lt.addEventListener("pointerdown",me,!0),lt.addEventListener("pointerleave",Le,!0),lt.addEventListener("pointerover",Ae,!0),x.globalThis.addEventListener("pointerup",fe,!0),x.globalThis.addEventListener("pointercancel",ke,!0)},Ze=function(lt){lt.addEventListener("touchstart",me,!0),lt.addEventListener("touchend",fe,!0),lt.addEventListener("touchmove",se,!0),lt.addEventListener("touchcancel",ke,!0)},Je=function(lt){x.globalThis.document.addEventListener("mousemove",se,!0),lt.addEventListener("mousedown",me,!0),lt.addEventListener("mouseout",Le,!0),lt.addEventListener("mouseover",Ae,!0),x.globalThis.addEventListener("mouseup",fe,!0)},tt=function(lt){x.globalThis.document.removeEventListener("pointermove",se,!0),lt.removeEventListener("pointerdown",me,!0),lt.removeEventListener("pointerleave",Le,!0),lt.removeEventListener("pointerover",Ae,!0),x.globalThis.removeEventListener("pointerup",fe,!0),x.globalThis.removeEventListener("pointercancel",ke,!0)},it=function(lt){lt.removeEventListener("touchstart",me,!0),lt.removeEventListener("touchend",fe,!0),lt.removeEventListener("touchmove",se,!0),lt.removeEventListener("touchcancel",ke,!0)},st=function(lt){x.globalThis.document.removeEventListener("mousemove",se,!0),lt.removeEventListener("mousedown",me,!0),lt.removeEventListener("mouseout",Le,!0),lt.removeEventListener("mouseover",Ae,!0),x.globalThis.removeEventListener("mouseup",fe,!0)};z.hooks.init.tap(E.tag,function(){var dt=b.context.contextService.getDomElement();x.globalThis.navigator.msPointerEnabled?(dt.style.msContentZooming="none",dt.style.msTouchAction="none"):ae.supportsPointerEvents&&(dt.style.touchAction="none"),ae.supportsPointerEvents?Ke(dt):Je(dt),ae.supportsTouchEvents&&Ze(dt),re.useNativeClickEvent&&dt.addEventListener("click",je,!0),dt.addEventListener("wheel",ze,{passive:!0,capture:!0})}),z.hooks.destroy.tap(E.tag,function(){var dt=b.context.contextService.getDomElement();x.globalThis.navigator.msPointerEnabled?(dt.style.msContentZooming="",dt.style.msTouchAction=""):ae.supportsPointerEvents&&(dt.style.touchAction=""),ae.supportsPointerEvents?tt(dt):st(dt),ae.supportsTouchEvents&&it(dt),re.useNativeClickEvent&&dt.removeEventListener("click",je,!0),dt.removeEventListener("wheel",ze,!0)})}}])}();ww.tag="DOMInteraction";var t7=function(E){function a(){var y;(0,mr.Z)(this,a);for(var x=arguments.length,b=new Array(x),z=0;z1&&arguments[1]!==void 0?arguments[1]:[0,0,0];return"matrix(".concat([y[0],y[1],y[4],y[5],y[12]+x[0],y[13]+x[1]].join(","),")")}},{key:"apply",value:function(y,x){var b=this,z=y.camera,ee=y.renderingContext,re=y.renderingService;this.context=y;var ae=ee.root.ownerDocument.defaultView,se=ae.context.eventService.nativeHTMLMap,fe=function(Ke,Ze){Ze.style.transform=b.joinTransformMatrix(Ke.getWorldTransform(),Ke.getOrigin())},me=function(Ke){var Ze=Ke.target;if(Ze.nodeName===ha.HTML){b.$camera||(b.$camera=b.createCamera(z));var Je=b.getOrCreateEl(Ze);b.$camera.appendChild(Je),Object.keys(Ze.attributes).forEach(function(tt){b.updateAttribute(tt,Ze)}),fe(Ze,Je),se.set(Je,Ze)}},Ae=function(Ke){var Ze=Ke.target;if(Ze.nodeName===ha.HTML&&b.$camera){var Je=b.getOrCreateEl(Ze);Je&&(Je.remove(),se.delete(Je))}},Le=function(Ke){var Ze=Ke.target;if(Ze.nodeName===ha.HTML){var Je=Ke.attrName;b.updateAttribute(Je,Ze)}},ke=function(Ke){var Ze=Ke.target,Je=Ze.nodeName===ha.FRAGMENT?Ze.childNodes:[Ze];Je.forEach(function(tt){if(tt.nodeName===ha.HTML){var it=b.getOrCreateEl(tt);fe(tt,it)}})},ze=function(){if(b.$camera){var Ke=b.context.config,Ze=Ke.width,Je=Ke.height;b.$camera.parentElement.style.width="".concat(Ze||0,"px"),b.$camera.parentElement.style.height="".concat(Je||0,"px")}};re.hooks.init.tap(E.tag,function(){ae.addEventListener(Fc.RESIZE,ze),ae.addEventListener(ys.MOUNTED,me),ae.addEventListener(ys.UNMOUNTED,Ae),ae.addEventListener(ys.ATTR_MODIFIED,Le),ae.addEventListener(ys.BOUNDS_CHANGED,ke)}),re.hooks.endFrame.tap(E.tag,function(){b.$camera&&ee.renderReasons.has(o0.CAMERA_CHANGED)&&(b.$camera.style.transform=b.joinTransformMatrix(z.getOrthoMatrix()))}),re.hooks.destroy.tap(E.tag,function(){b.$camera&&b.$camera.remove(),ae.removeEventListener(Fc.RESIZE,ze),ae.removeEventListener(ys.MOUNTED,me),ae.removeEventListener(ys.UNMOUNTED,Ae),ae.removeEventListener(ys.ATTR_MODIFIED,Le),ae.removeEventListener(ys.BOUNDS_CHANGED,ke)})}},{key:"createCamera",value:function(y){var x=this.context.config,b=x.document,z=x.width,ee=x.height,re=this.context.contextService.getDomElement(),ae=re.parentNode;if(ae){var se=n7,fe=ae.querySelector("#".concat(se));if(!fe){var me=(b||document).createElement("div");me.style.overflow="hidden",me.style.pointerEvents="none",me.style.position="absolute",me.style.left="0px",me.style.top="0px",me.style.width="".concat(z||0,"px"),me.style.height="".concat(ee||0,"px");var Ae=(b||document).createElement("div");fe=Ae,Ae.id=se,Ae.style.position="absolute",Ae.style.left="".concat(re.offsetLeft||0,"px"),Ae.style.top="".concat(re.offsetTop||0,"px"),Ae.style.transformOrigin="left top",Ae.style.transform=this.joinTransformMatrix(y.getOrthoMatrix()),Ae.style.pointerEvents="none",Ae.style.width="100%",Ae.style.height="100%",me.appendChild(Ae),ae.appendChild(me)}return fe}return null}},{key:"getOrCreateEl",value:function(y){var x=this.context.config.document,b=this.displayObjectHTMLElementMap.get(y);return b||(b=(x||document).createElement("div"),y.parsedStyle.$el=b,this.displayObjectHTMLElementMap.set(y,b),y.id&&(b.id=y.id),y.name&&b.setAttribute("name",y.name),y.className&&(b.className=y.className),b.style.position="absolute",b.style["will-change"]="transform",b.style.transform=this.joinTransformMatrix(y.getWorldTransform(),y.getOrigin())),b}},{key:"updateAttribute",value:function(y,x){var b=this.getOrCreateEl(x);switch(y){case"innerHTML":var z=x.parsedStyle.innerHTML;Ws(z)?b.innerHTML=z:(b.innerHTML="",b.appendChild(z));break;case"x":b.style.left="".concat(x.parsedStyle.x,"px");break;case"y":b.style.top="".concat(x.parsedStyle.y,"px");break;case"transformOrigin":var ee=x.parsedStyle.transformOrigin;b.style["transform-origin"]="".concat(ee[0].buildCSSText(null,null,"")," ").concat(ee[1].buildCSSText(null,null,""));break;case"width":var re=x.parsedStyle.width;b.style.width=ji(re)?"".concat(re,"px"):re.toString();break;case"height":var ae=x.parsedStyle.height;b.style.height=ji(ae)?"".concat(ae,"px"):ae.toString();break;case"zIndex":var se=x.parsedStyle.zIndex;b.style["z-index"]="".concat(se);break;case"visibility":var fe=x.parsedStyle.visibility;b.style.visibility=fe;break;case"pointerEvents":var me=x.parsedStyle.pointerEvents,Ae=me===void 0?"auto":me;b.style.pointerEvents=Ae;break;case"opacity":var Le=x.parsedStyle.opacity;b.style.opacity="".concat(Le);break;case"fill":var ke=x.parsedStyle.fill,ze="";Om(ke)?ke.isNone?ze="transparent":ze=x.getAttribute("fill"):Array.isArray(ke)?ze=x.getAttribute("fill"):ng(ke),b.style.background=ze;break;case"stroke":var je=x.parsedStyle.stroke,Ke="";Om(je)?je.isNone?Ke="transparent":Ke=x.getAttribute("stroke"):Array.isArray(je)?Ke=x.getAttribute("stroke"):ng(je),b.style["border-color"]=Ke,b.style["border-style"]="solid";break;case"lineWidth":var Ze=x.parsedStyle.lineWidth;b.style["border-width"]="".concat(Ze||0,"px");break;case"lineDash":b.style["border-style"]="dashed";break;case"filter":var Je=x.style.filter;b.style.filter=Je;break;default:!wo(x.style[y])&&x.style[y]!==""&&(b.style[y]=x.style[y])}}}])}();Mw.tag="HTMLRendering";var r7=function(E){function a(){var y;(0,mr.Z)(this,a);for(var x=arguments.length,b=new Array(x),z=0;z0&&re[0]!==void 0?re[0]:{},z=b.type,ee=b.encoderOptions,ae.abrupt("return",this.context.canvas.toDataURL(z,ee));case 1:case"end":return ae.stop()}},x,this)}));function y(){return a.apply(this,arguments)}return y}()}])}(),i7=function(E){function a(){var y;(0,mr.Z)(this,a);for(var x=arguments.length,b=new Array(x),z=0;z{const x=this.context.canvas,b=x.context.renderingContext.root.ownerDocument.defaultView;this.normalizeToPointerEvent(y,b).forEach(ee=>{const re=this.bootstrapEvent(this.rootPointerEvent,ee,b,y);yv(x.context.eventService,"mappingTable.pointerupoutside",[]),x.context.eventService.mapEvent(re)})}}get eventService(){return this.context.canvas.context.eventService}get events(){return[Ea.CLICK,Ea.POINTER_DOWN,Ea.POINTER_MOVE,Ea.POINTER_UP,Ea.POINTER_OVER,Ea.POINTER_LEAVE]}getDomElement(){return this.getShape("key").getDomElement()}render(a=this.parsedAttributes,y=this){this.drawKeyShape(a,y),this.drawPortShapes(a,y)}getKeyStyle(a){const y=xg(a,["dx","dy","innerHTML","pointerEvents","cursor"]),{dx:x=0,dy:b=0}=y,z=l7(y,["dx","dy"]),[ee,re]=this.getSize(a);return Object.assign(Object.assign({x,y:b},z),{width:ee,height:re})}drawKeyShape(a,y){const x=this.getKeyStyle(a),{x:b,y:z,width:ee=0,height:re=0}=x,ae=this.upsert("key-container",Iu,{x:b,y:z,width:ee,height:re,opacity:0},y);return this.upsert("key",av,x,ae)}connectedCallback(){if(!(this.context.canvas.getRenderer("main")instanceof Sv))return;const x=this.getDomElement();this.events.forEach(b=>{x.addEventListener(b,this.forwardEvents)})}attributeChangedCallback(a,y,x){a==="zIndex"&&y!==x&&(this.getDomElement().style.zIndex=x)}destroy(){const a=this.getDomElement();this.events.forEach(y=>{a.removeEventListener(y,this.forwardEvents)}),super.destroy()}normalizeToPointerEvent(a,y){const x=[];if(y.isTouchEvent(a))for(let b=0;bthis.context.element.getElement(ee)).filter(Boolean);if(b.length===0){const ee=new cl,{x:re=0,y:ae=0,size:se}=a,[fe,me]=zc(se);return ee.setMinMax([re-fe/2,ae-me/2,0],[re+fe/2,ae+me/2,0]),ee}const z=dv(b.map(ee=>ee.getBounds()));return x?sh(z,x):z}drawCollapsedMarkerShape(a,y){const x=this.getCollapsedMarkerStyle(a);this.upsert("collapsed-marker",vw,x,y),RA(this)}getCollapsedMarkerStyle(a){if(!a.collapsed||!a.collapsedMarker)return!1;const y=au(this.getGraphicStyle(a),"collapsedMarker"),{type:x}=y,b=Tw(y,["type"]),z=this.getShape("key"),[ee,re]=Lf(z.getLocalBounds(),"center"),ae=Object.assign(Object.assign({},b),{x:ee,y:re});if(x){const se=this.getCollapsedMarkerText(x,a);Object.assign(ae,{text:se})}return ae}getCollapsedMarkerText(a,y){const{childrenData:x=[]}=y,{model:b}=this.context;return a==="descendant-count"?b.getDescendantsData(this.id).length.toString():a==="child-count"?x.length.toString():a==="node-count"?b.getDescendantsData(this.id).filter(z=>b.getElementType(Nr(z))==="node").length.toString():qi(a)?a(x):""}getComboPosition(a){const{x:y=0,y:x=0,collapsed:b,childrenData:z=[]}=a;if(z.length===0)return[+y,+x,0];if(b){const{model:ee}=this.context,re=ee.getDescendantsData(this.id).filter(ae=>!ee.isCombo(Nr(ae)));if(re.length>0&&re.some(L8)){const ae=re.reduce((se,fe)=>es(se,fu(fe)),[0,0,0]);return Nd(ae,re.length)}return[+y,+x,0]}return this.getContentBBox(a).center}getComboStyle(a){const[y,x]=this.getComboPosition(a);return{x:y,y:x,transform:[["translate",y,x]]}}updateComboPosition(a){const y=this.getComboStyle(a);Object.assign(this.style,y);const{x,y:b}=y;this.context.model.syncNodeLikeDatum({id:this.id,style:{x,y:b}}),FA(this)}render(a,y=this){super.render(a,y),this.drawCollapsedMarkerShape(a,y)}update(a={}){super.update(a),this.updateComboPosition(this.parsedAttributes)}onframe(){super.onframe(),this.attributes.collapsed||this.updateComboPosition(this.parsedAttributes),this.drawKeyShape(this.parsedAttributes,this)}animate(a,y){const x=super.animate(this.attributes.collapsed?a:a.map(b=>{var{x:z,y:ee,z:re,transform:ae}=b,se=Tw(b,["x","y","z","transform"]);return se}),y);return x&&new Proxy(x,{set:(b,z,ee)=>(z==="currentTime"&&Promise.resolve().then(()=>this.onframe()),Reflect.set(b,z,ee))})}}g0.defaultStyleProps={childrenNode:[],droppable:!0,draggable:!0,collapsed:!1,collapsedSize:32,collapsedMarker:!0,collapsedMarkerZIndex:1,collapsedMarkerFontSize:12,collapsedMarkerTextAlign:"center",collapsedMarkerTextBaseline:"middle",collapsedMarkerType:"child-count"};class d7 extends g0{constructor(a){super(a)}drawKeyShape(a,y){return this.upsert("key",wf,this.getKeyStyle(a),y)}getKeyStyle(a){const{collapsed:y}=a,x=super.getKeyStyle(a),[b]=this.getKeySize(a);return Object.assign(Object.assign(Object.assign({},x),y&&au(x,"collapsed")),{r:b/2})}getCollapsedKeySize(a){const[y,x]=zc(a.collapsedSize),b=Math.max(y,x)/2;return[b*2,b*2,0]}getExpandedKeySize(a){const y=this.getContentBBox(a),[x,b]=ih(y),z=Math.sqrt(Math.pow(x,2)+Math.pow(b,2))/2;return[z*2,z*2,0]}getIntersectPoint(a,y=!1){const x=this.getShape("key").getBounds();return Mp(a,x,y)}}class f7 extends g0{constructor(a){super(a)}drawKeyShape(a,y){return this.upsert("key",Iu,this.getKeyStyle(a),y)}getKeyStyle(a){const y=super.getKeyStyle(a),[x,b]=this.getKeySize(a);return Object.assign(Object.assign(Object.assign({},y),a.collapsed&&au(y,"collapsed")),{width:x,height:b,x:-x/2,y:-b/2})}}var h7=function(E,a){if(!lv(E))return E;for(var y=[],x=0;x-1:!1},m7=v7,p7=function(E,a){return a===void 0&&(a=[]),g7(E,function(y){return!m7(a,y)})},y7=p7;const E7={padding:10};function Ow(E,a,y,x,b,z){const{padding:ee}=Object.assign(E7,z),re=oh(y,ee),ae=oh(x,ee),se=[E,...b,a];let fe=null;const me=[];for(let Ae=0,Le=se.length;Aez?"N":"S":x===z?y>b?"W":"E":null}function HA(E,a){return a==="N"||a==="S"?lf(E):sf(E)}function Bw(E,a,y){const x=[E[0],a[1]],b=[a[0],E[1]],z=rc(E,x),ee=rc(E,b),re=y?A7[y]:null,ae=z===y||z!==re&&ee!==y?x:b;return{points:[ae],direction:rc(ae,a)}}function Kp(E,a,y){if(cp(E,y)){const x=bv(E,a,y);return{points:[x],direction:rc(x,a)}}else{const 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ee=E.getPorts()[b||z],re=E.getPorts()[z||b];let[ae,se]=_w(E,a,y,ee,re);const fe=I7(E,ae,se,x);return ee&&(ae=Pv(ee,fe[0])),re&&(se=Pv(re,fe.at(-1))),kw(ae,se,fe)}function I7(E,a,y,x){const b=E.getCenter();if(Zl(a,y)){const z=il(a,b),ee=[x*Math.sign(z[0])||x/2,x*Math.sign(z[1])||-x/2,0];return[es(a,ee),es(y,Bd(ee,[1,-1,1]))]}return[ch(b,a,vl(b,a)+x),ch(b,y,vl(b,y)+x)]}function T7(E,a,y,x,b,z,ee){const re=JA(E),ae=re[z||ee],se=re[ee||z];let[fe,me]=_w(E,y,x,ae,se);const Ae=O7(E,fe,me,b);return ae&&(fe=Pv(ae,Ae[0])),se&&(me=Pv(se,Ae.at(-1))),ZA([fe,...Ae,me],a)}function O7(E,a,y,x){const b=[],z=oh(E);if(Zl(a,y))switch(fv(a,z)){case"left":b.push([a[0]-x,a[1]]),b.push([a[0]-x,a[1]+x]),b.push([a[0],a[1]+x]);break;case"right":b.push([a[0]+x,a[1]]),b.push([a[0]+x,a[1]+x]),b.push([a[0],a[1]+x]);break;case"top":b.push([a[0],a[1]-x]),b.push([a[0]+x,a[1]-x]),b.push([a[0]+x,a[1]]);break;case"bottom":b.push([a[0],a[1]+x]),b.push([a[0]+x,a[1]+x]),b.push([a[0]+x,a[1]]);break}else{const ee=fv(a,z),re=fv(y,z);if(ee===re){const ae=ee;let se,fe;switch(ae){case"left":se=Math.min(a[0],y[0])-x,b.push([se,a[1]]),b.push([se,y[1]]);break;case"right":se=Math.max(a[0],y[0])+x,b.push([se,a[1]]),b.push([se,y[1]]);break;case"top":fe=Math.min(a[1],y[1])-x,b.push([a[0],fe]),b.push([y[0],fe]);break;case"bottom":fe=Math.max(a[1],y[1])+x,b.push([a[0],fe]),b.push([y[0],fe]);break}}else{const ae=(Ae,Le)=>({left:[Le[0]-x,Le[1]],right:[Le[0]+x,Le[1]],top:[Le[0],Le[1]-x],bottom:[Le[0],Le[1]+x]})[Ae],se=ae(ee,a),fe=ae(re,y),me=bv(se,fe,z);b.push(se,me,fe)}}return b}function QA(E,a){const y=new Set,x=new Set,b=new Set;return E.forEach(z=>{a(z).forEach(re=>{y.add(re),E.includes(re.source)&&E.includes(re.target)?x.add(re):b.add(re)})}),{edges:Array.from(y),internal:Array.from(x),external:Array.from(b)}}function zw(E,a){const y=[];let x=E;for(;x;){y.push(x);const b=a(Nr(x));if(b)x=b;else break}if(y.some(b=>{var z;return(z=b.style)===null||z===void 0?void 0:z.collapsed})){const 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b&&(ae[se]=b[se])}),ae}getLoopPath(a){const{sourcePort:y,targetPort:x}=a,b=this.sourceNode,z=oh(b),ee=Math.max(sf(z),lf(z)),{placement:re,clockwise:ae,dist:se=ee}=au(this.getGraphicStyle(a),"loop");return D7(b,re,ae,se,y,x)}getEndpoints(a,y=!0,x=[]){const{sourcePort:b,targetPort:z}=a,{sourceNode:ee,targetNode:re}=this,[ae,se]=X7(ee,re,b,z);if(!y){const Le=ae?gh(ae):ee.getCenter(),ke=se?gh(se):re.getCenter();return[Le,ke]}const fe=typeof x=="function"?x():x,me=Qw(ae||ee,fe[0]||se||re),Ae=Qw(se||re,fe[fe.length-1]||ae||ee);return[me,Ae]}getHaloStyle(a){if(a.halo===!1)return!1;const y=this.getKeyStyle(a),x=au(this.getGraphicStyle(a),"halo");return Object.assign(Object.assign({},y),x)}getLabelStyle(a){if(a.label===!1||!a.labelText)return!1;const y=au(this.getGraphicStyle(a),"label"),{placement:x,offsetX:b,offsetY:z,autoRotate:ee,maxWidth:re}=y,ae=Zp(y,["placement","offsetX","offsetY","autoRotate","maxWidth"]),se=Rw(this.shapeMap.key,x,ee,b,z),fe=this.shapeMap.key.getLocalBounds(),me=Q8([fe.min,fe.max],re);return Object.assign({wordWrapWidth:me},se,ae)}getBadgeStyle(a){if(a.badge===!1||!a.badgeText)return!1;const y=au(a,"badge"),{offsetX:x,offsetY:b,placement:z}=y,ee=Zp(y,["offsetX","offsetY","placement"]);return Object.assign(ee,S7(this.shapeMap,z,a.labelPlacement,x,b))}drawArrow(a,y){var x;const b=y==="start",ee=a[y==="start"?"startArrow":"endArrow"],re=this.shapeMap.key;if(ee){const ae=this.getArrowStyle(a,b),[se,fe,me]=b?["markerStart","markerStartOffset","startArrowOffset"]:["markerEnd","markerEndOffset","endArrowOffset"],Ae=re.parsedStyle[se];if(Ae)Ae.attr(ae);else{const Le=ae.src?iv:Rc,ke=new Le({style:ae});re.style[se]=ke}re.style[fe]=a[me]||ae.width/2+ +ae.lineWidth}else{const ae=b?"markerStart":"markerEnd";(x=re.style[ae])===null||x===void 0||x.destroy(),re.style[ae]=null}}getArrowStyle(a,y){const x=this.getShape("key").attributes,b=y?"startArrow":"endArrow",z=au(this.getGraphicStyle(a),b),{size:ee,type:re}=z,ae=Zp(z,["size","type"]),[se,fe]=zc(L7(x.lineWidth,ee)),Ae=(qi(re)?re:He[re]||Uw)(se,fe);return Object.assign(xg(x,["stroke","strokeOpacity","fillOpacity"]),{width:se,height:fe},Object.assign({},Ae&&{d:Ae,fill:re==="simple"?"":x.stroke}),ae)}drawLabelShape(a,y){const x=this.getLabelStyle(a);this.upsert("label",dh,x,y)}drawHaloShape(a,y){const x=this.getHaloStyle(a);this.upsert("halo",Rc,x,y)}drawBadgeShape(a,y){const x=this.getBadgeStyle(a);this.upsert("badge",f0,x,y)}drawSourceArrow(a){this.drawArrow(a,"start")}drawTargetArrow(a){this.drawArrow(a,"end")}drawKeyShape(a,y){const x=this.getKeyStyle(a);return this.upsert("key",Rc,x,y)}render(a=this.parsedAttributes,y=this){this.drawKeyShape(a,y),this.getShape("key")&&(this.drawSourceArrow(a),this.drawTargetArrow(a),this.drawLabelShape(a,y),this.drawHaloShape(a,y),this.drawBadgeShape(a,y))}onframe(){this.drawKeyShape(this.parsedAttributes,this),this.drawSourceArrow(this.parsedAttributes),this.drawTargetArrow(this.parsedAttributes),this.drawHaloShape(this.parsedAttributes,this),this.drawLabelShape(this.parsedAttributes,this),this.drawBadgeShape(this.parsedAttributes,this)}animate(a,y){const x=super.animate(a,y);return x&&new Proxy(x,{set:(b,z,ee)=>(z==="currentTime"&&Promise.resolve().then(()=>this.onframe()),Reflect.set(b,z,ee))})}}hh.defaultStyleProps={badge:!0,badgeOffsetX:0,badgeOffsetY:0,badgePlacement:"suffix",isBillboard:!0,label:!0,labelAutoRotate:!0,labelIsBillboard:!0,labelMaxWidth:"80%",labelOffsetX:4,labelOffsetY:0,labelPlacement:"center",labelTextBaseline:"middle",labelWordWrap:!1,halo:!1,haloDroppable:!1,haloLineDash:0,haloLineWidth:12,haloPointerEvents:"none",haloStrokeOpacity:.25,haloZIndex:-1,loop:!0,startArrow:!1,startArrowLineDash:0,startArrowLineJoin:"round",startArrowLineWidth:1,startArrowTransformOrigin:"center",startArrowType:"vee",endArrow:!1,endArrowLineDash:0,endArrowLineJoin:"round",endArrowLineWidth:1,endArrowTransformOrigin:"center",endArrowType:"vee",loopPlacement:"top",loopClockwise:!0};class Sg extends hh{constructor(a){super(xu({style:Sg.defaultStyleProps},a))}getKeyPath(a){const[y,x]=this.getEndpoints(a),{controlPoints:b,curvePosition:z,curveOffset:ee}=a,re=this.getControlPoints(y,x,C7(z),b7(ee),b);return kw(y,x,re)}getControlPoints(a,y,x,b,z){return(z==null?void 0:z.length)===2?z:[KA(a,y,x[0],b[0]),KA(a,y,x[1],b[1])]}}Sg.defaultStyleProps={curvePosition:.5,curveOffset:20};class Qp extends Sg{constructor(a){super(xu({style:Qp.defaultStyleProps},a))}getControlPoints(a,y,x,b){const z=y[0]-a[0];return[[a[0]+z*x[0]+b[0],a[1]],[y[0]-z*x[1]+b[1],y[1]]]}}Qp.defaultStyleProps={curvePosition:[.5,.5],curveOffset:[0,0]};class Yp extends Sg{constructor(a){super(xu({style:Yp.defaultStyleProps},a))}get ref(){return this.context.model.getRootsData()[0]}getEndpoints(a){if(this.sourceNode.id===this.ref.id)return super.getEndpoints(a);const y=fu(this.ref),x=this.sourceNode.getIntersectPoint(y,!0),b=this.targetNode.getIntersectPoint(y);return[x,b]}toRadialCoordinate(a){const y=fu(this.ref),x=vl(a,y),b=K2(il(a,y));return[x,b]}getControlPoints(a,y,x,b){const[z,ee]=this.toRadialCoordinate(a),[re]=this.toRadialCoordinate(y),ae=re-z;return[[a[0]+(ae*x[0]+b[0])*Math.cos(ee),a[1]+(ae*x[0]+b[0])*Math.sin(ee)],[y[0]-(ae*x[1]-b[0])*Math.cos(ee),y[1]-(ae*x[1]-b[0])*Math.sin(ee)]]}}Yp.defaultStyleProps={curvePosition:.5,curveOffset:20};class Xp extends Sg{constructor(a){super(xu({style:Xp.defaultStyleProps},a))}getControlPoints(a,y,x,b){const z=y[1]-a[1];return[[a[0],a[1]+z*x[0]+b[0]],[y[0],y[1]-z*x[1]+b[1]]]}}Xp.defaultStyleProps={curvePosition:[.5,.5],curveOffset:[0,0]};class Jp extends hh{constructor(a){super(xu({style:Jp.defaultStyleProps},a))}getKeyPath(a){const[y,x]=this.getEndpoints(a);return[["M",y[0],y[1]],["L",x[0],x[1]]]}}Jp.defaultStyleProps={};const z7={enableObstacleAvoidance:!1,offset:10,maxAllowedDirectionChange:Math.PI/2,maximumLoops:3e3,gridSize:5,startDirections:["top","right","bottom","left"],endDirections:["top","right","bottom","left"],directionMap:{right:{stepX:1,stepY:0},left:{stepX:-1,stepY:0},bottom:{stepX:0,stepY:1},top:{stepX:0,stepY:-1}},penalties:{0:0,90:0},distFunc:Pp},Nf=E=>`${Math.round(E[0])}|||${Math.round(E[1])}`;function bg(E,a){const y=x=>Math.round(x/a);return ji(E)?y(E):E.map(y)}function U7(E,a){const y=Math.abs(E-a);return y>Math.PI?2*Math.PI-y:y}function Ww(E,a){const y=a[0]-E[0],x=a[1]-E[1];return!y&&!x?0:Math.atan2(x,y)}function jw(E,a,y,x){const b=Ww(E,a),z=y[Nf(E)],re=Ww(z||x,E);return U7(re,b)}const W7=(E,a)=>{const{offset:y,gridSize:x}=a,b={};return E.forEach(z=>{if(!z||z.destroyed||!z.isVisible())return;const ee=sh(z.getRenderBounds(),y);for(let re=bg(ee.min[0],x);re<=bg(ee.max[0],x);re+=1)for(let ae=bg(ee.min[1],x);ae<=bg(ee.max[1],x);ae+=1)b[`${re}|||${ae}`]=!0}),b};function Gw(E,a,y){return Math.min(...a.map(x=>y(E,x)))}function j7(E,a,y){let x=E[0],b=y(E[0],a);for(let z=0;z{if(!a)return[E];const{directionMap:b,offset:z}=x,ee=sh(a.getRenderBounds(),z),re=Object.keys(b).reduce((ae,se)=>{if(y.includes(se)){const fe=b[se],[me,Ae]=ih(ee),Le=[E[0]+fe.stepX*me,E[1]+fe.stepY*Ae],ke=jR(ee);for(let ze=0;zebg(ae,x.gridSize))},G7=(E,a,y,x,b,z,ee)=>{const re=[];let ae=[z[0]===x[0]?x[0]:E[0]*ee,z[1]===x[1]?x[1]:E[1]*ee];re.unshift(ae);let se=E,fe=a[Nf(se)];for(;fe;){const Le=fe,ke=se;jw(Le,ke,a,y)&&(ae=[Le[0]===ke[0]?ae[0]:Le[0]*ee,Le[1]===ke[1]?ae[1]:Le[1]*ee],re.unshift(ae)),fe=a[Nf(Le)],se=Le}const me=b.map(Le=>[Le[0]*ee,Le[1]*ee]),Ae=j7(me,ae,Pp);return re.unshift(Ae),re};function H7(E,a,y,x){const b=mg(E.getCenter()),z=mg(a.getCenter()),ee=Object.assign(z7,x),{gridSize:re}=ee,ae=ee.enableObstacleAvoidance?y:[E,a],se=W7(ae,ee),fe=bg(b,re),me=bg(z,re),Ae=Hw(b,E,ee.startDirections,ee),Le=Hw(z,a,ee.endDirections,ee);Ae.forEach(lt=>delete se[Nf(lt)]),Le.forEach(lt=>delete se[Nf(lt)]);const ke={},ze={},je={},Ke={},Ze={},Je=new V7;for(let lt=0;ltNf(lt));let it=ee.maximumLoops,st,dt=1/0;for(const[lt,wt]of Object.entries(ke))Ze[lt]<=dt&&(dt=Ze[lt],st=wt);for(;Object.keys(ke).length>0&&it>0;){const lt=Je.minId(!1);if(lt)st=ke[lt];else break;const wt=Nf(st);if(tt.includes(wt))return G7(st,je,fe,z,Ae,me,re);delete ke[wt],Je.remove(wt),ze[wt]=!0;for(const Bt of Object.values(ee.directionMap)){const Ht=es(st,[Bt.stepX,Bt.stepY]),Qt=Nf(Ht);if(ze[Qt])continue;const hn=jw(st,Ht,je,fe);if(hn>ee.maxAllowedDirectionChange||se[Qt])continue;ke[Qt]||(ke[Qt]=Ht);const nn=ee.penalties[hn],wn=ee.distFunc(st,Ht)+(isNaN(nn)?re:nn),Jn=Ke[wt]+wn,pn=Ke[Qt];pn&&Jn>=pn||(je[Qt]=st,Ke[Qt]=Jn,Ze[Qt]=Jn+Gw(Ht,Le,ee.distFunc),Je.add({id:Qt,value:Ze[Qt]}))}it-=1}return[]}class V7{constructor(){this.arr=[],this.map={},this.arr=[],this.map={}}_innerAdd(a,y){let x=0,b=y-1;for(;b-x>1;){const z=Math.floor((x+b)/2);if(this.arr[z].value>a.value)b=z;else if(this.arr[z].value=0;y--)this.map[this.arr[y].id]?a=this.arr[y].id:this.arr.splice(y,1);return a}_findFirstId(){for(;this.arr.length;){const a=this.arr.shift();if(this.map[a.id])return a.id}}minId(a){return a?this._clearAndGetMinId():this._findFirstId()}}class qp extends hh{constructor(a){super(xu({style:qp.defaultStyleProps},a))}getControlPoints(a){const{router:y}=a,{sourceNode:x,targetNode:b}=this,[z,ee]=this.getEndpoints(a,!1);let re=[];if(!y)re=a.controlPoints;else if(y.type==="shortest-path"){const ae=this.context.element.getNodes();re=H7(x,b,ae,y),re.length||(re=Ow(z,ee,x,b,a.controlPoints,{padding:y.offset}))}else y.type==="orth"&&(re=Ow(z,ee,x,b,a.controlPoints,y));return re}getPoints(a){const y=this.getControlPoints(a),[x,b]=this.getEndpoints(a,!0,y);return[x,...y,b]}getKeyPath(a){const y=this.getPoints(a);return ZA(y,a.radius)}getLoopPath(a){const{sourcePort:y,targetPort:x,radius:b}=a,z=this.sourceNode,ee=oh(z),re=Math.max(sf(ee),lf(ee))/4,{placement:ae,clockwise:se,dist:fe=re}=au(this.getGraphicStyle(a),"loop");return T7(z,b,ae,se,fe,y,x)}}qp.defaultStyleProps={radius:0,controlPoints:[],router:!1};class $p extends hh{constructor(a){super(xu({style:$p.defaultStyleProps},a))}getKeyPath(a){const{curvePosition:y,curveOffset:x}=a,[b,z]=this.getEndpoints(a),ee=a.controlPoint||KA(b,z,y,x);return P7(b,z,ee)}}$p.defaultStyleProps={curvePosition:.5,curveOffset:30};var K7=function(E,a){var y={};for(var x in E)Object.prototype.hasOwnProperty.call(E,x)&&a.indexOf(x)<0&&(y[x]=E[x]);if(E!=null&&typeof Object.getOwnPropertySymbols=="function")for(var b=0,x=Object.getOwnPropertySymbols(E);b{var z;const{key:ee,placement:re}=x;Kw(x)&&(a[z=ee||b]||(a[z]=Lf(E.getShape("key").getBounds(),re)))}),a}function Kw(E){const{r:a}=E;return!a||Number(a)===0}function gh(E){return u0(E)?E:E.getPosition()}function X7(E,a,y,x){const b=Zw(E,a,y,x),z=Zw(a,E,x,y);return[b,z]}function Zw(E,a,y,x){const b=JA(E);if(y)return b[y];const z=Object.values(b);if(z.length===0)return;const ee=z.map(se=>gh(se)),re=J7(a,x),[ae]=k8(ee,re);return z.find(se=>gh(se)===ae)}function J7(E,a){const y=JA(E);if(a)return[gh(y[a])];const x=Object.values(y);return x.length>0?x.map(b=>gh(b)):[E.getCenter()]}function Qw(E,a){return YA(E)||Cv(E)?qA(E,a):Pv(E,a)}function Pv(E,a){if(!E||!a)return[0,0,0];if(u0(E))return E;if(E.attributes.linkToCenter)return E.getPosition();const y=u0(a)?a:Cv(a)?a.getCenter():a.getPosition();return Mp(y,E.getBounds())}function qA(E,a){if(!E||!a)return[0,0,0];const y=u0(a)?a:Cv(a)?a.getCenter():a.getPosition();return E.getIntersectPoint(y)||E.getCenter()}function Yw(E,a="bottom",y=0,x=0,b=!1){const z=a.split("-"),[ee,re]=Lf(E,a),[ae,se]=b?["bottom","top"]:["top","bottom"],fe=z.includes("top")?se:z.includes("bottom")?ae:"middle",me=z.includes("left")?"right":z.includes("right")?"left":"center";return{transform:[["translate",ee+y,re+x]],textBaseline:fe,textAlign:me}}function q7(E,a){return[[0,-E],[a*Math.cos(3*Math.PI/10),-a*Math.sin(3*Math.PI/10)],[E*Math.cos(Math.PI/10),-E*Math.sin(Math.PI/10)],[a*Math.cos(Math.PI/10),a*Math.sin(Math.PI/10)],[E*Math.cos(3*Math.PI/10),E*Math.sin(3*Math.PI/10)],[0,a],[-E*Math.cos(3*Math.PI/10),E*Math.sin(3*Math.PI/10)],[-a*Math.cos(Math.PI/10),a*Math.sin(Math.PI/10)],[-E*Math.cos(Math.PI/10),-E*Math.sin(Math.PI/10)],[-a*Math.cos(3*Math.PI/10),-a*Math.sin(3*Math.PI/10)]]}function $7(E,a){const y={};return y.top=[0,-E],y.left=[-E*Math.cos(Math.PI/10),-E*Math.sin(Math.PI/10)],y["left-bottom"]=[-E*Math.cos(3*Math.PI/10),E*Math.sin(3*Math.PI/10)],y.bottom=[0,a],y["right-bottom"]=[E*Math.cos(3*Math.PI/10),E*Math.sin(3*Math.PI/10)],y.right=y.default=[E*Math.cos(Math.PI/10),-E*Math.sin(Math.PI/10)],y}function ek(E,a,y){const x=a/2,b=E/2,z={up:[[-b,x],[b,x],[0,-x]],left:[[-b,0],[b,x],[b,-x]],right:[[-b,x],[-b,-x],[b,0]],down:[[-b,-x],[b,-x],[0,x]]};return z[y]||z.up}function tk(E,a,y){const x=a/2,b=E/2,z={};return y==="down"?(z.bottom=z.default=[0,x],z.right=[b,-x],z.left=[-b,-x]):y==="left"?(z.top=[b,-x],z.bottom=[b,x],z.left=z.default=[-b,0]):y==="right"?(z.top=[-b,-x],z.bottom=[-b,x],z.right=z.default=[b,0]):(z.left=[-b,x],z.top=z.default=[0,-x],z.right=[b,x]),z}function Fq(E,a){return[[E/2,-a/2],[E/2,a/2],[-E/2,a/2],[-E/2,-a/2]]}function nk(E,a){return[[0,-a/2],[E/2,0],[0,a/2],[-E/2,0]]}function Xw(E){return Sc(E,["style","visibility"])!=="hidden"}function rk(E,a){const{zIndex:y,transform:x,transformOrigin:b,visibility:z,cursor:ee,clipPath:re,component:ae}=a,se=K7(a,["zIndex","transform","transformOrigin","visibility","cursor","clipPath","component"]);Object.assign(E.attributes,se),x&&E.setAttribute("transform",x),ji(y)&&E.setAttribute("zIndex",y),b&&E.setAttribute("transformOrigin",b),z&&E.setAttribute("visibility",z),ee&&E.setAttribute("cursor",ee),re&&E.setAttribute("clipPath",re),ae&&E.setAttribute("component",ae)}function $A(E,a){"update"in E?E.update(a):E.attr(a)}function ak(E){return[[0,E],[E*Math.sqrt(3)/2,E/2],[E*Math.sqrt(3)/2,-E/2],[0,-E],[-E*Math.sqrt(3)/2,-E/2],[-E*Math.sqrt(3)/2,E/2]]}function ik(E){yv(E,"__to_be_destroyed__",!0)}function wv(E){return Sc(E,"__to_be_destroyed__",!1)}var ok=function(E,a,y,x){function b(z){return z instanceof y?z:new y(function(ee){ee(z)})}return new(y||(y=Promise))(function(z,ee){function re(fe){try{se(x.next(fe))}catch(me){ee(me)}}function ae(fe){try{se(x.throw(fe))}catch(me){ee(me)}}function se(fe){fe.done?z(fe.value):b(fe.value).then(re,ae)}se((x=x.apply(E,a||[])).next())})};class ey extends _c{constructor(a,y){super(a,Object.assign({},ey.defaultOptions,y)),this.onCollapseExpand=x=>ok(this,void 0,void 0,function*(){if(!this.validate(x))return;const{target:b}=x;if(!Z7(b))return;const z=b.id,{model:ee,graph:re}=this.context,ae=ee.getElementDataById(z);if(!ae)return!1;const{onCollapse:se,onExpand:fe,animation:me,align:Ae}=this.options;xc(ae)?(yield re.expandElement(z,{animation:me,align:Ae}),fe==null||fe(z)):(yield re.collapseElement(z,{animation:me,align:Ae}),se==null||se(z))}),this.bindEvents()}update(a){this.unbindEvents(),super.update(a),this.bindEvents()}bindEvents(){const{graph:a}=this.context,{trigger:y}=this.options;a.on(`node:${y}`,this.onCollapseExpand),a.on(`combo:${y}`,this.onCollapseExpand)}unbindEvents(){const{graph:a}=this.context,{trigger:y}=this.options;a.off(`node:${y}`,this.onCollapseExpand),a.off(`combo:${y}`,this.onCollapseExpand)}validate(a){if(this.destroyed)return!1;const{enable:y}=this.options;return qi(y)?y(a):!!y}destroy(){this.unbindEvents(),super.destroy()}}ey.defaultOptions={enable:!0,animation:!0,trigger:Ea.DBLCLICK,align:!0};var ty={},sk=function(E){return E=E||"g",ty[E]?ty[E]+=1:ty[E]=1,E+ty[E]},ny=function(E,a,y,x){function b(z){return z instanceof y?z:new y(function(ee){ee(z)})}return new(y||(y=Promise))(function(z,ee){function re(fe){try{se(x.next(fe))}catch(me){ee(me)}}function ae(fe){try{se(x.throw(fe))}catch(me){ee(me)}}function se(fe){fe.done?z(fe.value):b(fe.value).then(re,ae)}se((x=x.apply(E,a||[])).next())})};const lk="g6-create-edge-assist-edge-id",ry="g6-create-edge-assist-node-id";class ay extends _c{constructor(a,y){super(a,Object.assign({},ay.defaultOptions,y)),this.drop=x=>ny(this,void 0,void 0,function*(){const{targetType:b}=x;["combo","node"].includes(b)&&this.source?yield this.handleCreateEdge(x):yield this.cancelEdge()}),this.handleCreateEdge=x=>ny(this,void 0,void 0,function*(){var b,z,ee;if(!this.validate(x))return;const{graph:re,canvas:ae,batch:se,element:fe}=this.context,{style:me}=this.options;if(this.source){this.createEdge(x),yield this.cancelEdge();return}se.startBatch(),ae.setCursor("crosshair"),this.source=this.getSelectedNodeIDs([x.target.id])[0];const Ae=re.getElementData(this.source);re.addNodeData([{id:ry,style:{visibility:"hidden",ports:[{key:"port-1",placement:[.5,.5]}],x:(b=Ae.style)===null||b===void 0?void 0:b.x,y:(z=Ae.style)===null||z===void 0?void 0:z.y}}]),re.addEdgeData([{id:lk,source:this.source,target:ry,style:Object.assign({pointerEvents:"none"},me)}]),yield(ee=fe.draw({animation:!1}))===null||ee===void 0?void 0:ee.finished}),this.updateAssistEdge=x=>ny(this,void 0,void 0,function*(){var b;if(!this.source)return;const{model:z,element:ee}=this.context;z.translateNodeTo(ry,[x.canvas.x,x.canvas.y]),yield(b=ee.draw({animation:!1,silence:!0}))===null||b===void 0?void 0:b.finished}),this.createEdge=x=>{var b,z;const{graph:ee}=this.context,{style:re,onFinish:ae,onCreate:se}=this.options;if(((b=x.target)===null||b===void 0?void 0:b.id)===void 0||this.source===void 0)return;const me=(z=this.getSelectedNodeIDs([x.target.id]))===null||z===void 0?void 0:z[0],Ae=`${this.source}-${me}-${sk()}`,Le=se({id:Ae,source:this.source,target:me,style:re});Le&&(ee.addEdgeData([Le]),ae(Le))},this.cancelEdge=()=>ny(this,void 0,void 0,function*(){var x;if(!this.source)return;const{graph:b,element:z,batch:ee}=this.context;b.removeNodeData([ry]),this.source=void 0,yield(x=z.draw({animation:!1}))===null||x===void 0?void 0:x.finished,ee.endBatch()}),this.bindEvents()}update(a){super.update(a),this.bindEvents()}bindEvents(){const{graph:a}=this.context,{trigger:y}=this.options;this.unbindEvents(),y==="click"?(a.on(ud.CLICK,this.handleCreateEdge),a.on(fg.CLICK,this.handleCreateEdge),a.on(Df.CLICK,this.cancelEdge),a.on(lp.CLICK,this.cancelEdge)):(a.on(ud.DRAG_START,this.handleCreateEdge),a.on(fg.DRAG_START,this.handleCreateEdge),a.on(Ea.POINTER_UP,this.drop)),a.on(Ea.POINTER_MOVE,this.updateAssistEdge)}getSelectedNodeIDs(a){return Array.from(new Set(this.context.graph.getElementDataByState("node",this.options.state).map(y=>y.id).concat(a)))}validate(a){if(this.destroyed)return!1;const{enable:y}=this.options;return qi(y)?y(a):!!y}unbindEvents(){const{graph:a}=this.context;a.off(ud.CLICK,this.handleCreateEdge),a.off(fg.CLICK,this.handleCreateEdge),a.off(Df.CLICK,this.cancelEdge),a.off(lp.CLICK,this.cancelEdge),a.off(ud.DRAG_START,this.handleCreateEdge),a.off(fg.DRAG_START,this.handleCreateEdge),a.off(Ea.POINTER_UP,this.drop),a.off(Ea.POINTER_MOVE,this.updateAssistEdge)}destroy(){this.unbindEvents(),super.destroy()}}ay.defaultOptions={animation:!0,enable:!0,style:{},trigger:"drag",onCreate:E=>E,onFinish:()=>{}};function uk(E,a,y){var x;return function(){var b=this,z=arguments,ee=function(){x=null,y||E.apply(b,z)},re=y&&!x;clearTimeout(x),x=setTimeout(ee,a),re&&E.apply(b,z)}}var Mv=uk,Jw=function(E,a,y,x){function b(z){return z instanceof y?z:new y(function(ee){ee(z)})}return new(y||(y=Promise))(function(z,ee){function re(fe){try{se(x.next(fe))}catch(me){ee(me)}}function ae(fe){try{se(x.throw(fe))}catch(me){ee(me)}}function se(fe){fe.done?z(fe.value):b(fe.value).then(re,ae)}se((x=x.apply(E,a||[])).next())})};class iy extends _c{constructor(a,y){super(a,Object.assign({},iy.defaultOptions,y)),this.isDragging=!1,this.onDragStart=x=>{this.validate(x)&&(this.isDragging=!0,this.context.canvas.setCursor("grabbing"))},this.onDrag=x=>{var b,z,ee,re;if(!this.isDragging||Ql.isPinching)return;const ae=(z=(b=x.movement)===null||b===void 0?void 0:b.x)!==null&&z!==void 0?z:x.dx,se=(re=(ee=x.movement)===null||ee===void 0?void 0:ee.y)!==null&&re!==void 0?re:x.dy;ae|se&&this.translate([ae,se],!1)},this.onDragEnd=()=>{var x,b;this.isDragging=!1,this.context.canvas.setCursor(this.defaultCursor),(b=(x=this.options).onFinish)===null||b===void 0||b.call(x)},this.invokeOnFinish=Mv(()=>{var x,b;(b=(x=this.options).onFinish)===null||b===void 0||b.call(x)},300),this.shortcut=new d0(a.graph),this.bindEvents(),this.defaultCursor=this.context.canvas.getConfig().cursor||"default"}update(a){this.unbindEvents(),super.update(a),this.bindEvents()}bindEvents(){const{trigger:a}=this.options;if(Vl(a)){const{up:y=[],down:x=[],left:b=[],right:z=[]}=a;this.shortcut.bind(y,ee=>this.onTranslate([0,1],ee)),this.shortcut.bind(x,ee=>this.onTranslate([0,-1],ee)),this.shortcut.bind(b,ee=>this.onTranslate([1,0],ee)),this.shortcut.bind(z,ee=>this.onTranslate([-1,0],ee))}else{const{graph:y}=this.context;y.on(Ea.DRAG_START,this.onDragStart),y.on(Ea.DRAG,this.onDrag),y.on(Ea.DRAG_END,this.onDragEnd)}}onTranslate(a,y){return Jw(this,void 0,void 0,function*(){if(!this.validate(y))return;const{sensitivity:x}=this.options,b=x*-1;yield this.translate(Bd(a,b),this.options.animation),this.invokeOnFinish()})}translate(a,y){return Jw(this,void 0,void 0,function*(){a=this.clampByDirection(a),a=this.clampByRange(a),a=this.clampByRotation(a),yield this.context.graph.translateBy(a,y)})}clampByRotation([a,y]){const x=this.context.graph.getRotation();if(x%360===0)return[a,y];const b=x*Math.PI/180,z=Math.cos(b),ee=Math.sin(b);return[a*z-y*ee,a*ee+y*z]}clampByDirection([a,y]){const{direction:x}=this.options;return x==="x"?y=0:x==="y"&&(a=0),[a,y]}clampByRange([a,y]){const{viewport:x,canvas:b}=this.context,[z,ee]=b.getSize(),[re,ae,se,fe]=Td(this.options.range),me=[ee*re,z*ae,ee*se,z*fe],Ae=sh(dA(x.getCanvasCenter()),me),Le=il(x.getViewportCenter(),[a,y,0]);if(!Od(Le,Ae)){const{min:[ke,ze],max:[je,Ke]}=Ae;(Le[0]0||Le[0]>je&&a<0)&&(a=0),(Le[1]0||Le[1]>Ke&&y<0)&&(y=0)}return[a,y]}validate(a){if(this.destroyed)return!1;const{enable:y}=this.options;return typeof y=="function"?y(a):!!y}unbindEvents(){this.shortcut.unbindAll();const{graph:a}=this.context;a.off(Ea.DRAG_START,this.onDragStart),a.off(Ea.DRAG,this.onDrag),a.off(Ea.DRAG_END,this.onDragEnd)}destroy(){this.shortcut.destroy(),this.unbindEvents(),this.context.canvas.setCursor(this.defaultCursor),super.destroy()}}iy.defaultOptions={enable:E=>"targetType"in E?E.targetType==="canvas":!0,sensitivity:10,direction:"both",range:1/0};var qw=function(E,a,y,x){function b(z){return z instanceof y?z:new y(function(ee){ee(z)})}return new(y||(y=Promise))(function(z,ee){function re(fe){try{se(x.next(fe))}catch(me){ee(me)}}function ae(fe){try{se(x.throw(fe))}catch(me){ee(me)}}function se(fe){fe.done?z(fe.value):b(fe.value).then(re,ae)}se((x=x.apply(E,a||[])).next())})};class Dv extends _c{constructor(a,y){super(a,Object.assign({},Dv.defaultOptions,y)),this.enable=!1,this.enableElements=["node","combo"],this.target=[],this.shadowOrigin=[0,0],this.hiddenEdges=[],this.isDragging=!1,this.onDrop=x=>qw(this,void 0,void 0,function*(){var b;if(this.options.dropEffect!=="link")return;const{model:z,element:ee}=this.context,re=x.target.id;this.target.forEach(ae=>{const se=z.getParentData(ae,ll);se&&Nr(se)===re&&z.refreshComboData(re),z.setParent(ae,re,ll)}),yield(b=ee==null?void 0:ee.draw({animation:!0}))===null||b===void 0?void 0:b.finished}),this.setCursor=x=>{if(this.isDragging)return;const{type:b}=x,{canvas:z}=this.context,{cursor:ee}=this.options;b===Ea.POINTER_ENTER?z.setCursor((ee==null?void 0:ee.grab)||"grab"):z.setCursor((ee==null?void 0:ee.default)||"default")},this.onDragStart=this.onDragStart.bind(this),this.onDrag=this.onDrag.bind(this),this.onDragEnd=this.onDragEnd.bind(this),this.onDrop=this.onDrop.bind(this),this.bindEvents()}update(a){this.unbindEvents(),super.update(a),this.bindEvents()}bindEvents(){const{graph:a,canvas:y}=this.context,x=y.getLayer().getContextService().$canvas;x&&(x.addEventListener("blur",this.onDragEnd),x.addEventListener("contextmenu",this.onDragEnd)),this.enableElements.forEach(b=>{a.on(`${b}:${Ea.DRAG_START}`,this.onDragStart),a.on(`${b}:${Ea.DRAG}`,this.onDrag),a.on(`${b}:${Ea.DRAG_END}`,this.onDragEnd),a.on(`${b}:${Ea.POINTER_ENTER}`,this.setCursor),a.on(`${b}:${Ea.POINTER_LEAVE}`,this.setCursor)}),["link"].includes(this.options.dropEffect)&&(a.on(fg.DROP,this.onDrop),a.on(Df.DROP,this.onDrop))}getSelectedNodeIDs(a){return Array.from(new Set(this.context.graph.getElementDataByState("node",this.options.state).map(y=>y.id).concat(a)))}getDelta(a){const y=this.context.graph.getZoom();return Nd([a.dx,a.dy],y)}onDragStart(a){var y;if(this.enable=this.validate(a),!this.enable)return;const{batch:x,canvas:b,graph:z}=this.context;b.setCursor(((y=this.options.cursor)===null||y===void 0?void 0:y.grabbing)||"grabbing"),this.isDragging=!0,x.startBatch();const ee=a.target.id;z.getElementState(ee).includes(this.options.state)?this.target=this.getSelectedNodeIDs([ee]):this.target=[ee],this.hideEdge(),this.context.graph.frontElement(this.target),this.options.shadow&&this.createShadow(this.target)}onDrag(a){if(!this.enable)return;const y=this.getDelta(a);this.options.shadow?this.moveShadow(y):this.moveElement(this.target,y)}onDragEnd(){var a,y,x;if(!this.enable)return;if(this.enable=!1,this.options.shadow){if(!this.shadow)return;this.shadow.style.visibility="hidden";const{x:ee=0,y:re=0}=this.shadow.attributes,[ae,se]=il([+ee,+re],this.shadowOrigin);this.moveElement(this.target,[ae,se])}this.showEdges(),(y=(a=this.options).onFinish)===null||y===void 0||y.call(a,this.target);const{batch:b,canvas:z}=this.context;b.endBatch(),z.setCursor(((x=this.options.cursor)===null||x===void 0?void 0:x.grab)||"grab"),this.isDragging=!1,this.target=[]}validate(a){if(this.destroyed||wv(a.target)||this.context.graph.isCollapsingExpanding)return!1;const{enable:y}=this.options;return qi(y)?y(a):!!y}moveElement(a,y){return qw(this,void 0,void 0,function*(){const{graph:x,model:b}=this.context,{dropEffect:z}=this.options;z==="move"&&a.forEach(ee=>b.refreshComboData(ee)),x.translateElementBy(Object.fromEntries(a.map(ee=>[ee,y])),!1)})}moveShadow(a){if(!this.shadow)return;const{x:y=0,y:x=0}=this.shadow.attributes,[b,z]=a;this.shadow.attr({x:+y+b,y:+x+z})}createShadow(a){const y=au(this.options,"shadow"),x=dv(a.map(se=>this.context.element.getElement(se).getBounds())),[b,z]=x.min;this.shadowOrigin=[b,z];const[ee,re]=ih(x),ae={width:ee,height:re,x:b,y:z};this.shadow?this.shadow.attr(Object.assign(Object.assign(Object.assign({},y),ae),{visibility:"visible"})):(this.shadow=new Iu({style:Object.assign(Object.assign(Object.assign({$layer:"transient"},y),ae),{pointerEvents:"none"})}),this.context.canvas.appendChild(this.shadow))}showEdges(){this.options.shadow||this.hiddenEdges.length===0||(this.context.graph.showElement(this.hiddenEdges),this.hiddenEdges=[])}hideEdge(){const{hideEdge:a,shadow:y}=this.options;if(a==="none"||y)return;const{graph:x}=this.context;a==="all"?this.hiddenEdges=x.getEdgeData().map(Nr):this.hiddenEdges=Array.from(new Set(this.target.map(b=>x.getRelatedEdgesData(b,a).map(Nr)).flat())),x.hideElement(this.hiddenEdges)}unbindEvents(){const{graph:a,canvas:y}=this.context,x=y.getLayer().getContextService().$canvas;x&&(x.removeEventListener("blur",this.onDragEnd),x.removeEventListener("contextmenu",this.onDragEnd)),this.enableElements.forEach(b=>{a.off(`${b}:${Ea.DRAG_START}`,this.onDragStart),a.off(`${b}:${Ea.DRAG}`,this.onDrag),a.off(`${b}:${Ea.DRAG_END}`,this.onDragEnd),a.off(`${b}:${Ea.POINTER_ENTER}`,this.setCursor),a.off(`${b}:${Ea.POINTER_LEAVE}`,this.setCursor)}),a.off(`combo:${Ea.DROP}`,this.onDrop),a.off(`canvas:${Ea.DROP}`,this.onDrop)}destroy(){var a;this.unbindEvents(),(a=this.shadow)===null||a===void 0||a.destroy(),super.destroy()}}Dv.defaultOptions={animation:!0,enable:E=>["node","combo"].includes(E.targetType),dropEffect:"move",state:"selected",hideEdge:"none",shadow:!1,shadowZIndex:100,shadowFill:"#F3F9FF",shadowFillOpacity:.5,shadowStroke:"#1890FF",shadowStrokeOpacity:.9,shadowLineDash:[5,5],cursor:{default:"default",grab:"grab",grabbing:"grabbing"}};var ck="*",dk=function(){function E(){this._events={}}return E.prototype.on=function(a,y,x){return this._events[a]||(this._events[a]=[]),this._events[a].push({callback:y,once:!!x}),this},E.prototype.once=function(a,y){return this.on(a,y,!0)},E.prototype.emit=function(a){for(var y=this,x=[],b=1;b{a.has(ee.id)||(a.add(ee.id),E.push(ee))})}return!1}function sy(E,a,y,x){if(y(E))return!0;a.add(E.id);for(const z of x(E.id))if(!a.has(z.id)&&sy(z,a,y,x))return!0;return!1}const $w=()=>!0;class fk{constructor(a){Pl(this,"graph");Pl(this,"nodeFilter");Pl(this,"edgeFilter");Pl(this,"cacheEnabled");Pl(this,"inEdgesMap",new Map);Pl(this,"outEdgesMap",new Map);Pl(this,"bothEdgesMap",new Map);Pl(this,"allNodesMap",new Map);Pl(this,"allEdgesMap",new Map);Pl(this,"clearCache",()=>{this.inEdgesMap.clear(),this.outEdgesMap.clear(),this.bothEdgesMap.clear(),this.allNodesMap.clear(),this.allEdgesMap.clear()});Pl(this,"refreshCache",()=>{this.clearCache(),this.updateCache(this.graph.getAllNodes().map(a=>a.id))});Pl(this,"updateCache",a=>{const y=new Set;a.forEach(x=>{const b=this.bothEdgesMap.get(x);if(b&&b.forEach(z=>y.add(z.id)),!this.hasNode(x))this.inEdgesMap.delete(x),this.outEdgesMap.delete(x),this.bothEdgesMap.delete(x),this.allNodesMap.delete(x);else{const z=this.graph.getRelatedEdges(x,"in").filter(this.edgeFilter),ee=this.graph.getRelatedEdges(x,"out").filter(this.edgeFilter),re=Array.from(new Set([...z,...ee]));re.forEach(ae=>y.add(ae.id)),this.inEdgesMap.set(x,z),this.outEdgesMap.set(x,ee),this.bothEdgesMap.set(x,re),this.allNodesMap.set(x,this.graph.getNode(x))}}),y.forEach(x=>{this.hasEdge(x)?this.allEdgesMap.set(x,this.graph.getEdge(x)):this.allEdgesMap.delete(x)})});Pl(this,"handleGraphChanged",a=>{const y=new Set;a.changes.forEach(x=>{switch(x.type){case"NodeAdded":y.add(x.value.id);break;case"NodeDataUpdated":y.add(x.id);break;case"EdgeAdded":y.add(x.value.source),y.add(x.value.target);break;case"EdgeUpdated":(x.propertyName==="source"||x.propertyName==="target")&&(y.add(x.oldValue),y.add(x.newValue));break;case"EdgeDataUpdated":if(a.graph.hasEdge(x.id)){const b=a.graph.getEdge(x.id);y.add(b.source),y.add(b.target)}break;case"EdgeRemoved":y.add(x.value.source),y.add(x.value.target);break;case"NodeRemoved":y.add(x.value.id);break;default:break}}),this.updateCache(y)});this.graph=a.graph;const y=a.nodeFilter||$w,x=a.edgeFilter||$w;this.nodeFilter=y,this.edgeFilter=b=>{const{source:z,target:ee}=this.graph.getEdgeDetail(b.id);return!y(z)||!y(ee)?!1:x(b,z,ee)},a.cache==="auto"?(this.cacheEnabled=!0,this.startAutoCache()):a.cache==="manual"?this.cacheEnabled=!0:this.cacheEnabled=!1}startAutoCache(){this.refreshCache(),this.graph.on("changed",this.handleGraphChanged)}stopAutoCache(){this.graph.off("changed",this.handleGraphChanged)}checkNodeExistence(a){this.getNode(a)}hasNode(a){if(!this.graph.hasNode(a))return!1;const y=this.graph.getNode(a);return this.nodeFilter(y)}areNeighbors(a,y){return this.checkNodeExistence(a),this.getNeighbors(y).some(x=>x.id===a)}getNode(a){const y=this.graph.getNode(a);if(!this.nodeFilter(y))throw new Error("Node not found for id: "+a);return y}getRelatedEdges(a,y){return this.checkNodeExistence(a),this.cacheEnabled?y==="in"?this.inEdgesMap.get(a):y==="out"?this.outEdgesMap.get(a):this.bothEdgesMap.get(a):this.graph.getRelatedEdges(a,y).filter(this.edgeFilter)}getDegree(a,y){return this.getRelatedEdges(a,y).length}getSuccessors(a){const x=this.getRelatedEdges(a,"out").map(b=>this.getNode(b.target));return Array.from(new Set(x))}getPredecessors(a){const x=this.getRelatedEdges(a,"in").map(b=>this.getNode(b.source));return Array.from(new Set(x))}getNeighbors(a){const y=this.getPredecessors(a),x=this.getSuccessors(a);return Array.from(new Set([...y,...x]))}hasEdge(a){if(!this.graph.hasEdge(a))return!1;const y=this.graph.getEdge(a);return this.edgeFilter(y)}getEdge(a){const y=this.graph.getEdge(a);if(!this.edgeFilter(y))throw new Error("Edge not found for id: "+a);return y}getEdgeDetail(a){const y=this.getEdge(a);return{edge:y,source:this.getNode(y.source),target:this.getNode(y.target)}}hasTreeStructure(a){return this.graph.hasTreeStructure(a)}getRoots(a){return this.graph.getRoots(a).filter(this.nodeFilter)}getChildren(a,y){return this.checkNodeExistence(a),this.graph.getChildren(a,y).filter(this.nodeFilter)}getParent(a,y){this.checkNodeExistence(a);const x=this.graph.getParent(a,y);return!x||!this.nodeFilter(x)?null:x}getAllNodes(){return this.cacheEnabled?Array.from(this.allNodesMap.values()):this.graph.getAllNodes().filter(this.nodeFilter)}getAllEdges(){return this.cacheEnabled?Array.from(this.allEdgesMap.values()):this.graph.getAllEdges().filter(this.edgeFilter)}bfs(a,y,x="out"){const b={in:this.getPredecessors.bind(this),out:this.getSuccessors.bind(this),both:this.getNeighbors.bind(this)}[x];ex([this.getNode(a)],new Set,y,b)}dfs(a,y,x="out"){const b={in:this.getPredecessors.bind(this),out:this.getSuccessors.bind(this),both:this.getNeighbors.bind(this)}[x];sy(this.getNode(a),new Set,y,b)}}class Xl extends oy{constructor(y){super();Pl(this,"nodeMap",new Map);Pl(this,"edgeMap",new Map);Pl(this,"inEdgesMap",new Map);Pl(this,"outEdgesMap",new Map);Pl(this,"bothEdgesMap",new Map);Pl(this,"treeIndices",new Map);Pl(this,"changes",[]);Pl(this,"batchCount",0);Pl(this,"onChanged",()=>{});Pl(this,"batch",y=>{this.batchCount+=1,y(),this.batchCount-=1,this.batchCount||this.commit()});y&&(y.nodes&&this.addNodes(y.nodes),y.edges&&this.addEdges(y.edges),y.tree&&this.addTree(y.tree),y.onChanged&&(this.onChanged=y.onChanged))}commit(){const y=this.changes;this.changes=[];const x={graph:this,changes:y};this.emit("changed",x),this.onChanged(x)}reduceChanges(y){let x=[];return y.forEach(b=>{switch(b.type){case"NodeRemoved":{let z=!1;x=x.filter(ee=>{if(ee.type==="NodeAdded"){const re=ee.value.id===b.value.id;return re&&(z=!0),!re}else{if(ee.type==="NodeDataUpdated")return ee.id!==b.value.id;if(ee.type==="TreeStructureChanged")return ee.nodeId!==b.value.id}return!0}),z||x.push(b);break}case"EdgeRemoved":{let z=!1;x=x.filter(ee=>{if(ee.type==="EdgeAdded"){const re=ee.value.id===b.value.id;return re&&(z=!0),!re}else if(ee.type==="EdgeDataUpdated"||ee.type==="EdgeUpdated")return ee.id!==b.value.id;return!0}),z||x.push(b);break}case"NodeDataUpdated":case"EdgeDataUpdated":case"EdgeUpdated":{const z=x.findIndex(re=>re.type===b.type&&re.id===b.id&&(b.propertyName===void 0||re.propertyName===b.propertyName)),ee=x[z];ee?b.propertyName!==void 0?ee.newValue=b.newValue:(x.splice(z,1),x.push(b)):x.push(b);break}case"TreeStructureDetached":{x=x.filter(z=>z.type==="TreeStructureAttached"||z.type==="TreeStructureChanged"?z.treeKey!==b.treeKey:!0),x.push(b);break}case"TreeStructureChanged":{const z=x.find(ee=>ee.type==="TreeStructureChanged"&&ee.treeKey===b.treeKey&&ee.nodeId===b.nodeId);z?z.newParentId=b.newParentId:x.push(b);break}default:x.push(b);break}}),x}checkNodeExistence(y){this.getNode(y)}hasNode(y){return this.nodeMap.has(y)}areNeighbors(y,x){return this.getNeighbors(x).some(b=>b.id===y)}getNode(y){const x=this.nodeMap.get(y);if(!x)throw new Error("Node not found for id: "+y);return x}getRelatedEdges(y,x){if(this.checkNodeExistence(y),x==="in"){const b=this.inEdgesMap.get(y);return Array.from(b)}else if(x==="out"){const b=this.outEdgesMap.get(y);return Array.from(b)}else{const b=this.bothEdgesMap.get(y);return Array.from(b)}}getDegree(y,x){return this.getRelatedEdges(y,x).length}getSuccessors(y){const b=this.getRelatedEdges(y,"out").map(z=>this.getNode(z.target));return Array.from(new Set(b))}getPredecessors(y){const b=this.getRelatedEdges(y,"in").map(z=>this.getNode(z.source));return Array.from(new Set(b))}getNeighbors(y){const x=this.getPredecessors(y),b=this.getSuccessors(y);return Array.from(new Set([...x,...b]))}doAddNode(y){if(this.hasNode(y.id))throw new Error("Node already exists: "+y.id);this.nodeMap.set(y.id,y),this.inEdgesMap.set(y.id,new Set),this.outEdgesMap.set(y.id,new Set),this.bothEdgesMap.set(y.id,new Set),this.treeIndices.forEach(x=>{x.childrenMap.set(y.id,new Set)}),this.changes.push({type:"NodeAdded",value:y})}addNodes(y){this.batch(()=>{for(const x of y)this.doAddNode(x)})}addNode(y){this.addNodes([y])}doRemoveNode(y){const x=this.getNode(y),b=this.bothEdgesMap.get(y);b==null||b.forEach(z=>this.doRemoveEdge(z.id)),this.nodeMap.delete(y),this.treeIndices.forEach(z=>{var re,ae;(re=z.childrenMap.get(y))==null||re.forEach(se=>{z.parentMap.delete(se.id)});const ee=z.parentMap.get(y);ee&&((ae=z.childrenMap.get(ee.id))==null||ae.delete(x)),z.parentMap.delete(y),z.childrenMap.delete(y)}),this.bothEdgesMap.delete(y),this.inEdgesMap.delete(y),this.outEdgesMap.delete(y),this.changes.push({type:"NodeRemoved",value:x})}removeNodes(y){this.batch(()=>{y.forEach(x=>this.doRemoveNode(x))})}removeNode(y){this.removeNodes([y])}updateNodeDataProperty(y,x,b){const z=this.getNode(y);this.batch(()=>{const ee=z.data[x],re=b;z.data[x]=re,this.changes.push({type:"NodeDataUpdated",id:y,propertyName:x,oldValue:ee,newValue:re})})}mergeNodeData(y,x){this.batch(()=>{Object.entries(x).forEach(([b,z])=>{this.updateNodeDataProperty(y,b,z)})})}updateNodeData(...y){const x=y[0],b=this.getNode(x);if(typeof y[1]=="string"){this.updateNodeDataProperty(x,y[1],y[2]);return}let z;if(typeof y[1]=="function"){const ee=y[1];z=ee(b.data)}else typeof y[1]=="object"&&(z=y[1]);this.batch(()=>{const ee=b.data,re=z;b.data=z,this.changes.push({type:"NodeDataUpdated",id:x,oldValue:ee,newValue:re})})}checkEdgeExistence(y){if(!this.hasEdge(y))throw new Error("Edge not found for id: "+y)}hasEdge(y){return this.edgeMap.has(y)}getEdge(y){return this.checkEdgeExistence(y),this.edgeMap.get(y)}getEdgeDetail(y){const x=this.getEdge(y);return{edge:x,source:this.getNode(x.source),target:this.getNode(x.target)}}doAddEdge(y){if(this.hasEdge(y.id))throw new Error("Edge already exists: "+y.id);this.checkNodeExistence(y.source),this.checkNodeExistence(y.target),this.edgeMap.set(y.id,y);const x=this.inEdgesMap.get(y.target),b=this.outEdgesMap.get(y.source),z=this.bothEdgesMap.get(y.source),ee=this.bothEdgesMap.get(y.target);x.add(y),b.add(y),z.add(y),ee.add(y),this.changes.push({type:"EdgeAdded",value:y})}addEdges(y){this.batch(()=>{for(const x of y)this.doAddEdge(x)})}addEdge(y){this.addEdges([y])}doRemoveEdge(y){const x=this.getEdge(y),b=this.outEdgesMap.get(x.source),z=this.inEdgesMap.get(x.target),ee=this.bothEdgesMap.get(x.source),re=this.bothEdgesMap.get(x.target);b.delete(x),z.delete(x),ee.delete(x),re.delete(x),this.edgeMap.delete(y),this.changes.push({type:"EdgeRemoved",value:x})}removeEdges(y){this.batch(()=>{y.forEach(x=>this.doRemoveEdge(x))})}removeEdge(y){this.removeEdges([y])}updateEdgeSource(y,x){const b=this.getEdge(y);this.checkNodeExistence(x);const z=b.source,ee=x;this.outEdgesMap.get(z).delete(b),this.bothEdgesMap.get(z).delete(b),this.outEdgesMap.get(ee).add(b),this.bothEdgesMap.get(ee).add(b),b.source=x,this.batch(()=>{this.changes.push({type:"EdgeUpdated",id:y,propertyName:"source",oldValue:z,newValue:ee})})}updateEdgeTarget(y,x){const b=this.getEdge(y);this.checkNodeExistence(x);const z=b.target,ee=x;this.inEdgesMap.get(z).delete(b),this.bothEdgesMap.get(z).delete(b),this.inEdgesMap.get(ee).add(b),this.bothEdgesMap.get(ee).add(b),b.target=x,this.batch(()=>{this.changes.push({type:"EdgeUpdated",id:y,propertyName:"target",oldValue:z,newValue:ee})})}updateEdgeDataProperty(y,x,b){const z=this.getEdge(y);this.batch(()=>{const ee=z.data[x],re=b;z.data[x]=re,this.changes.push({type:"EdgeDataUpdated",id:y,propertyName:x,oldValue:ee,newValue:re})})}updateEdgeData(...y){const x=y[0],b=this.getEdge(x);if(typeof y[1]=="string"){this.updateEdgeDataProperty(x,y[1],y[2]);return}let z;if(typeof y[1]=="function"){const ee=y[1];z=ee(b.data)}else typeof y[1]=="object"&&(z=y[1]);this.batch(()=>{const ee=b.data,re=z;b.data=z,this.changes.push({type:"EdgeDataUpdated",id:x,oldValue:ee,newValue:re})})}mergeEdgeData(y,x){this.batch(()=>{Object.entries(x).forEach(([b,z])=>{this.updateEdgeDataProperty(y,b,z)})})}checkTreeExistence(y){if(!this.hasTreeStructure(y))throw new Error("Tree structure not found for treeKey: "+y)}hasTreeStructure(y){return this.treeIndices.has(y)}attachTreeStructure(y){this.treeIndices.has(y)||(this.treeIndices.set(y,{parentMap:new Map,childrenMap:new Map}),this.batch(()=>{this.changes.push({type:"TreeStructureAttached",treeKey:y})}))}detachTreeStructure(y){this.checkTreeExistence(y),this.treeIndices.delete(y),this.batch(()=>{this.changes.push({type:"TreeStructureDetached",treeKey:y})})}addTree(y,x){this.batch(()=>{this.attachTreeStructure(x);const b=[],z=Array.isArray(y)?y:[y];for(;z.length;){const ee=z.shift();b.push(ee),ee.children&&z.push(...ee.children)}this.addNodes(b),b.forEach(ee=>{var re;(re=ee.children)==null||re.forEach(ae=>{this.setParent(ae.id,ee.id,x)})})})}getRoots(y){return this.checkTreeExistence(y),this.getAllNodes().filter(x=>!this.getParent(x.id,y))}getChildren(y,x){this.checkNodeExistence(y),this.checkTreeExistence(x);const z=this.treeIndices.get(x).childrenMap.get(y);return Array.from(z||[])}getParent(y,x){return this.checkNodeExistence(y),this.checkTreeExistence(x),this.treeIndices.get(x).parentMap.get(y)||null}getAncestors(y,x){const b=[];let z=this.getNode(y),ee;for(;ee=this.getParent(z.id,x);)b.push(ee),z=ee;return b}setParent(y,x,b){var fe,me;this.checkTreeExistence(b);const z=this.treeIndices.get(b);if(!z)return;const ee=this.getNode(y),re=z.parentMap.get(y);if((re==null?void 0:re.id)===x)return;if(x==null){re&&((fe=z.childrenMap.get(re.id))==null||fe.delete(ee)),z.parentMap.delete(y);return}const ae=this.getNode(x);z.parentMap.set(y,ae),re&&((me=z.childrenMap.get(re.id))==null||me.delete(ee));let se=z.childrenMap.get(ae.id);se||(se=new Set,z.childrenMap.set(ae.id,se)),se.add(ee),this.batch(()=>{this.changes.push({type:"TreeStructureChanged",treeKey:b,nodeId:y,oldParentId:re==null?void 0:re.id,newParentId:ae.id})})}dfsTree(y,x,b){const z=ee=>this.getChildren(ee,b);return sy(this.getNode(y),new Set,x,z)}bfsTree(y,x,b){const z=ee=>this.getChildren(ee,b);return ex([this.getNode(y)],new Set,x,z)}getAllNodes(){return Array.from(this.nodeMap.values())}getAllEdges(){return Array.from(this.edgeMap.values())}bfs(y,x,b="out"){const z={in:this.getPredecessors.bind(this),out:this.getSuccessors.bind(this),both:this.getNeighbors.bind(this)}[b];return ex([this.getNode(y)],new Set,x,z)}dfs(y,x,b="out"){const z={in:this.getPredecessors.bind(this),out:this.getSuccessors.bind(this),both:this.getNeighbors.bind(this)}[b];return sy(this.getNode(y),new Set,x,z)}clone(){const y=this.getAllNodes().map(z=>NS(F0({},z),{data:F0({},z.data)})),x=this.getAllEdges().map(z=>NS(F0({},z),{data:F0({},z.data)})),b=new Xl({nodes:y,edges:x});return this.treeIndices.forEach(({parentMap:z,childrenMap:ee},re)=>{const ae=new Map;z.forEach((fe,me)=>{ae.set(me,b.getNode(fe.id))});const se=new Map;ee.forEach((fe,me)=>{se.set(me,new Set(Array.from(fe).map(Ae=>b.getNode(Ae.id))))}),b.treeIndices.set(re,{parentMap:ae,childrenMap:se})}),b}toJSON(){return JSON.stringify({nodes:this.getAllNodes(),edges:this.getAllEdges()})}createView(y){return new fk(F0({graph:this},y))}}class ly{constructor(a,y){this.context=a,this.options=y||{}}}var hk=function(E,a,y,x){function b(z){return z instanceof y?z:new y(function(ee){ee(z)})}return new(y||(y=Promise))(function(z,ee){function re(fe){try{se(x.next(fe))}catch(me){ee(me)}}function ae(fe){try{se(x.throw(fe))}catch(me){ee(me)}}function se(fe){fe.done?z(fe.value):b(fe.value).then(re,ae)}se((x=x.apply(E,a||[])).next())})},gk=function(E,a){var y={};for(var x in E)Object.prototype.hasOwnProperty.call(E,x)&&a.indexOf(x)<0&&(y[x]=E[x]);if(E!=null&&typeof Object.getOwnPropertySymbols=="function")for(var b=0,x=Object.getOwnPropertySymbols(E);b{const z=b.data._isCombo?x.combos:x.nodes,{x:ee,y:re,z:ae=0}=b.data;z==null||z.push({id:b.id,style:{x:ee,y:re,z:ae}})}),y.forEach(b=>{const{id:z,source:ee,target:re,data:{points:ae=[],controlPoints:se=ae.slice(1,ae.length-1)}}=b;x.edges.push({id:z,source:ee,target:re,style:Object.assign({},se!=null&&se.length?{controlPoints:se.map(Tu)}:{})})}),x}function pk(E,a){class y extends ly{constructor(b,z){if(super(b,z),this.instance=new E({}),this.id=this.instance.id,"stop"in this.instance&&"tick"in this.instance){const ee=this.instance;this.stop=ee.stop.bind(ee),this.tick=re=>{const ae=ee.tick(re);return uy(ae)}}}execute(b,z){return hk(this,void 0,void 0,function*(){return uy(yield this.instance.execute(this.graphData2LayoutModel(b),this.transformOptions(nc({},this.options,z))))})}transformOptions(b){if(!("onTick"in b))return b;const z=b.onTick;return b.onTick=ee=>z(uy(ee)),b}graphData2LayoutModel(b){const{nodes:z=[],edges:ee=[],combos:re=[]}=b,ae=z.map(Le=>{const ke=Nr(Le),{data:ze,style:je,combo:Ke}=Le,Ze=gk(Le,["data","style","combo"]),Je={id:ke,data:Object.assign(Object.assign(Object.assign(Object.assign(Object.assign({},ze),{data:ze}),Ke?{parentId:Ke}:{}),{style:je}),Ze)};return je!=null&&je.x&&Object.assign(Je.data,{x:je.x}),je!=null&&je.y&&Object.assign(Je.data,{y:je.y}),je!=null&&je.z&&Object.assign(Je.data,{z:je.z}),Je}),se=new Map(ae.map(Le=>[Le.id,Le])),fe=ee.filter(Le=>{const{source:ke,target:ze}=Le;return se.has(ke)&&se.has(ze)}).map(Le=>{const{source:ke,target:ze,data:je,style:Ke}=Le;return{id:Nr(Le),source:ke,target:ze,data:Object.assign({},je),style:Object.assign({},Ke)}}),me=re.map(Le=>({id:Nr(Le),data:Object.assign({_isCombo:!0},Le.data),style:Object.assign({},Le.style)})),Ae=new Xl({nodes:[...ae,...me],edges:fe});return a.model.model.hasTreeStructure(ll)&&(Ae.attachTreeStructure(ll),ae.forEach(Le=>{const ke=a.model.model.getParent(Le.id,ll);ke&&Ae.hasNode(ke.id)&&Ae.setParent(Le.id,ke.id,ll)})),Ae}}return y}function tx(E,a,...y){if(a in E)return E[a](...y);if("instance"in E){const x=E.instance;if(a in x)return x[a](...y)}return null}function e5(E,a){if(a in E)return E[a];if("instance"in E){const y=E.instance;if(a in y)return y[a]}return null}var yk=function(E,a,y,x){function b(z){return z instanceof y?z:new y(function(ee){ee(z)})}return new(y||(y=Promise))(function(z,ee){function re(fe){try{se(x.next(fe))}catch(me){ee(me)}}function ae(fe){try{se(x.throw(fe))}catch(me){ee(me)}}function se(fe){fe.done?z(fe.value):b(fe.value).then(re,ae)}se((x=x.apply(E,a||[])).next())})};class Ek extends Dv{get forceLayoutInstance(){return this.context.layout.getLayoutInstance().find(a=>["d3-force","d3-force-3d"].includes(a==null?void 0:a.id))}validate(a){return this.context.layout?this.forceLayoutInstance?super.validate(a):(Ac.warn("DragElementForce only works with d3-force or d3-force-3d layout"),!1):!1}moveElement(a,y){return yk(this,void 0,void 0,function*(){const x=this.forceLayoutInstance;this.context.graph.getNodeData(a).forEach((b,z)=>{const{x:ee=0,y:re=0}=b.style||{};x&&tx(x,"setFixedPosition",a[z],[...es([+ee,+re],y)])})})}onDragStart(a){if(this.enable=this.validate(a),!this.enable)return;this.target=this.getSelectedNodeIDs([a.target.id]),this.hideEdge(),this.context.graph.frontElement(this.target);const y=this.forceLayoutInstance;y&&e5(y,"simulation").alphaTarget(.3).restart(),this.context.graph.getNodeData(this.target).forEach(x=>{const{x:b=0,y:z=0}=x.style||{};y&&tx(y,"setFixedPosition",Nr(x),[+b,+z])})}onDrag(a){if(!this.enable)return;const y=this.getDelta(a);this.moveElement(this.target,y)}onDragEnd(){const a=this.forceLayoutInstance;a&&e5(a,"simulation").alphaTarget(0),!this.options.fixed&&this.context.graph.getNodeData(this.target).forEach(y=>{a&&tx(a,"setFixedPosition",Nr(y),[null,null,null])})}}var t5=function(E,a,y,x){function b(z){return z instanceof y?z:new y(function(ee){ee(z)})}return new(y||(y=Promise))(function(z,ee){function re(fe){try{se(x.next(fe))}catch(me){ee(me)}}function ae(fe){try{se(x.throw(fe))}catch(me){ee(me)}}function se(fe){fe.done?z(fe.value):b(fe.value).then(re,ae)}se((x=x.apply(E,a||[])).next())})};class cy extends _c{constructor(a,y){super(a,Object.assign({},cy.defaultOptions,y)),this.isZoomEvent=x=>!!(x.data&&"scale"in x.data),this.relatedEdgeToUpdate=new Set,this.zoom=this.context.graph.getZoom(),this.fixElementSize=x=>t5(this,void 0,void 0,function*(){if(!this.validate(x))return;const{graph:b}=this.context,{state:z,nodeFilter:ee,edgeFilter:re,comboFilter:ae}=this.options,se=(z?b.getElementDataByState("node",z):b.getNodeData()).filter(ee),fe=(z?b.getElementDataByState("edge",z):b.getEdgeData()).filter(re),me=(z?b.getElementDataByState("combo",z):b.getComboData()).filter(ae),Ae=this.isZoomEvent(x)?this.zoom=Math.max(.01,Math.min(x.data.scale,10)):this.zoom,Le=[...se,...me];Le.length>0&&Le.forEach(ke=>this.fixNodeLike(ke,Ae)),this.updateRelatedEdges(),fe.length>0&&fe.forEach(ke=>this.fixEdge(ke,Ae))}),this.cachedStyles=new Map,this.getOriginalFieldValue=(x,b,z)=>{var ee;const re=this.cachedStyles.get(x)||[],ae=((ee=re.find(se=>se.shape===b))===null||ee===void 0?void 0:ee.style)||{};return z in ae||(ae[z]=b.attributes[z],this.cachedStyles.set(x,[...re.filter(se=>se.shape!==b),{shape:b,style:ae}])),ae[z]},this.scaleEntireElement=(x,b,z)=>{b.setLocalScale(1/z);const ee=this.cachedStyles.get(x)||[];ee.push({shape:b}),this.cachedStyles.set(x,ee)},this.scaleSpecificShapes=(x,b,z)=>{const ee=uF(x);(Array.isArray(z)?z:[z]).forEach(ae=>{const{shape:se,fields:fe}=ae,me=typeof se=="function"?se(ee):x.getShape(se);if(me){if(!fe){this.scaleEntireElement(x.id,me,b);return}fe.forEach(Ae=>{const Le=this.getOriginalFieldValue(x.id,me,Ae);ji(Le)&&(me.style[Ae]=Le/b)})}})},this.skipIfExceedViewport=x=>{const{viewport:b}=this.context;return!(b!=null&&b.isInViewport(x.getRenderBounds(),!1,30))},this.fixNodeLike=(x,b)=>{const z=Nr(x),{element:ee,model:re}=this.context,ae=ee.getElement(z);if(!ae||this.skipIfExceedViewport(ae))return;re.getRelatedEdgesData(z).forEach(me=>this.relatedEdgeToUpdate.add(Nr(me)));const fe=this.options[ae.type];if(!fe){this.scaleEntireElement(z,ae,b);return}this.scaleSpecificShapes(ae,b,fe)},this.fixEdge=(x,b)=>{const z=Nr(x),ee=this.context.element.getElement(z);if(!ee||this.skipIfExceedViewport(ee))return;const re=this.options.edge;if(!re){ee.style.transformOrigin="center",this.scaleEntireElement(z,ee,b);return}this.scaleSpecificShapes(ee,b,re)},this.updateRelatedEdges=()=>{const{element:x}=this.context;this.relatedEdgeToUpdate.size>0&&this.relatedEdgeToUpdate.forEach(b=>{const z=x.getElement(b);z==null||z.update({})}),this.relatedEdgeToUpdate.clear()},this.resetTransform=x=>t5(this,void 0,void 0,function*(){var b;!((b=x.data)===null||b===void 0)&&b.firstRender||(this.options.reset?this.restoreCachedStyles():this.fixElementSize({data:{scale:this.zoom}}))}),this.bindEvents()}restoreCachedStyles(){if(this.cachedStyles.size>0){this.cachedStyles.forEach(b=>{b.forEach(({shape:z,style:ee})=>{if(cf(ee))z.setLocalScale(1);else{if(this.options.state)return;Object.entries(ee).forEach(([re,ae])=>z.style[re]=ae)}})});const{graph:a,element:y}=this.context,x=Object.keys(Object.fromEntries(this.cachedStyles)).filter(b=>b&&a.getElementType(b)==="node");if(x.length>0){const b=new Set;x.forEach(z=>{a.getRelatedEdgesData(z).forEach(ee=>b.add(Nr(ee)))}),b.forEach(z=>{const ee=y==null?void 0:y.getElement(z);ee==null||ee.update({})})}}}bindEvents(){const{graph:a}=this.context;a.on(hi.AFTER_DRAW,this.resetTransform),a.on(hi.AFTER_TRANSFORM,this.fixElementSize)}unbindEvents(){const{graph:a}=this.context;a.off(hi.AFTER_DRAW,this.resetTransform),a.off(hi.AFTER_TRANSFORM,this.fixElementSize)}validate(a){if(this.destroyed)return!1;const{enable:y}=this.options;return qi(y)?y(a):!!y}destroy(){this.unbindEvents(),super.destroy()}}cy.defaultOptions={enable:E=>E.data.scale<1,nodeFilter:()=>!0,edgeFilter:()=>!0,comboFilter:()=>!0,edge:[{shape:"key",fields:["lineWidth"]},{shape:"halo",fields:["lineWidth"]},{shape:"label"}],reset:!1};var Ak=function(E,a,y,x){function b(z){return z instanceof y?z:new y(function(ee){ee(z)})}return new(y||(y=Promise))(function(z,ee){function re(fe){try{se(x.next(fe))}catch(me){ee(me)}}function ae(fe){try{se(x.throw(fe))}catch(me){ee(me)}}function se(fe){fe.done?z(fe.value):b(fe.value).then(re,ae)}se((x=x.apply(E,a||[])).next())})};class dy extends _c{constructor(a,y){super(a,Object.assign({},dy.defaultOptions,y)),this.focus=x=>Ak(this,void 0,void 0,function*(){if(!this.validate(x))return;const{graph:b}=this.context;yield b.focusElement(x.target.id,this.options.animation)}),this.bindEvents()}bindEvents(){const{graph:a}=this.context;this.unbindEvents(),pg.forEach(y=>{a.on(`${y}:${Ea.CLICK}`,this.focus)})}validate(a){if(this.destroyed)return!1;const{enable:y}=this.options;return qi(y)?y(a):!!y}unbindEvents(){const{graph:a}=this.context;pg.forEach(y=>{a.off(`${y}:${Ea.CLICK}`,this.focus)})}destroy(){this.unbindEvents(),super.destroy()}}dy.defaultOptions={animation:{easing:"ease-in",duration:500},enable:!0};class fy extends _c{constructor(a,y){super(a,Object.assign({},fy.defaultOptions,y)),this.isFrozen=!1,this.toggleFrozen=x=>{this.isFrozen=x.type==="dragstart"},this.hoverElement=x=>{if(!this.validate(x))return;const b=x.type===Ea.POINTER_ENTER;this.updateElementsState(x,b);const{onHover:z,onHoverEnd:ee}=this.options;b?z==null||z(x):ee==null||ee(x)},this.updateElementsState=(x,b)=>{if(!this.options.state&&!this.options.inactiveState)return;const{graph:z}=this.context,{state:ee,animation:re,inactiveState:ae}=this.options,se=this.getActiveIds(x),fe={};if(ee&&Object.assign(fe,this.getElementsState(se,ee,b)),ae){const me=W2(z.getData(),!0).filter(Ae=>!se.includes(Ae));Object.assign(fe,this.getElementsState(me,ae,b))}z.setElementState(fe,re)},this.getElementsState=(x,b,z)=>{const{graph:ee}=this.context,re={};return x.forEach(ae=>{const se=ee.getElementState(ae);z?re[ae]=se.includes(b)?se:[...se,b]:re[ae]=se.filter(fe=>fe!==b)}),re},this.bindEvents()}bindEvents(){const{graph:a}=this.context;this.unbindEvents(),pg.forEach(x=>{a.on(`${x}:${Ea.POINTER_ENTER}`,this.hoverElement),a.on(`${x}:${Ea.POINTER_LEAVE}`,this.hoverElement)});const y=this.context.canvas.document;y.addEventListener(`${Ea.DRAG_START}`,this.toggleFrozen),y.addEventListener(`${Ea.DRAG_END}`,this.toggleFrozen)}getActiveIds(a){const{graph:y}=this.context,{degree:x,direction:b}=this.options,z=a.target.id;return x?rw(y,a.targetType,z,typeof x=="function"?x(a):x,b):[z]}validate(a){if(this.destroyed||this.isFrozen||wv(a.target)||this.context.graph.isCollapsingExpanding)return!1;const{enable:y}=this.options;return qi(y)?y(a):!!y}unbindEvents(){const{graph:a}=this.context;pg.forEach(x=>{a.off(`${x}:${Ea.POINTER_ENTER}`,this.hoverElement),a.off(`${x}:${Ea.POINTER_LEAVE}`,this.hoverElement)});const y=this.context.canvas.document;y.removeEventListener(`${Ea.DRAG_START}`,this.toggleFrozen),y.removeEventListener(`${Ea.DRAG_END}`,this.toggleFrozen)}destroy(){this.unbindEvents(),super.destroy()}}fy.defaultOptions={animation:!1,enable:!0,degree:0,direction:"both",state:"active",inactiveState:void 0};class xk extends pv{onPointerDown(a){if(!super.validate(a)||!super.isKeydown()||this.points)return;const{canvas:y}=this.context;this.pathShape=new Rc({id:"g6-lasso-select",style:this.options.style}),y.appendChild(this.pathShape),this.points=[Dp(a)]}onPointerMove(a){var y;if(!this.points)return;const{immediately:x,mode:b}=this.options;this.points.push(Dp(a)),(y=this.pathShape)===null||y===void 0||y.setAttribute("d",aF(this.points)),x&&b==="default"&&this.points.length>2&&super.updateElementsStates(this.points)}onPointerUp(){if(this.points){if(this.points.length<2){this.clearLasso();return}super.updateElementsStates(this.points),this.clearLasso()}}clearLasso(){var a;(a=this.pathShape)===null||a===void 0||a.remove(),this.pathShape=void 0,this.points=void 0}}class hy extends _c{constructor(a,y){super(a,Object.assign({},hy.defaultOptions,y)),this.hiddenShapes=[],this.isVisible=!0,this.setElementsVisibility=(x,b,z)=>{x.filter(Boolean).forEach(ee=>{b==="hidden"&&!ee.isVisible()?this.hiddenShapes.push(ee):b==="visible"&&this.hiddenShapes.includes(ee)?this.hiddenShapes.splice(this.hiddenShapes.indexOf(ee),1):vg(ee,b,z)})},this.filterShapes=(x,b)=>{if(qi(b))return ee=>!b(x,ee);const z=b==null?void 0:b[x];return ee=>ee.className?!(z!=null&&z.includes(ee.className)):!0},this.hideShapes=x=>{if(!this.validate(x)||!this.isVisible)return;const{element:b}=this.context,{shapes:z={}}=this.options;this.setElementsVisibility(b.getNodes(),"hidden",this.filterShapes("node",z)),this.setElementsVisibility(b.getEdges(),"hidden",this.filterShapes("edge",z)),this.setElementsVisibility(b.getCombos(),"hidden",this.filterShapes("combo",z)),this.isVisible=!1},this.showShapes=Mv(x=>{if(!this.validate(x)||this.isVisible)return;const{element:b}=this.context;this.setElementsVisibility(b.getNodes(),"visible"),this.setElementsVisibility(b.getEdges(),"visible"),this.setElementsVisibility(b.getCombos(),"visible"),this.isVisible=!0},this.options.debounce),this.bindEvents()}bindEvents(){const{graph:a}=this.context;a.on(hi.BEFORE_TRANSFORM,this.hideShapes),a.on(hi.AFTER_TRANSFORM,this.showShapes)}unbindEvents(){const{graph:a}=this.context;a.off(hi.BEFORE_TRANSFORM,this.hideShapes),a.off(hi.AFTER_TRANSFORM,this.showShapes)}validate(a){if(this.destroyed)return!1;const{enable:y}=this.options;return qi(y)?y(a):!!y}update(a){this.unbindEvents(),super.update(a),this.bindEvents()}destroy(){this.unbindEvents(),super.destroy()}}hy.defaultOptions={enable:!0,debounce:200,shapes:E=>E==="node"};var n5=function(E,a,y,x){function b(z){return z instanceof y?z:new y(function(ee){ee(z)})}return new(y||(y=Promise))(function(z,ee){function re(fe){try{se(x.next(fe))}catch(me){ee(me)}}function ae(fe){try{se(x.throw(fe))}catch(me){ee(me)}}function se(fe){fe.done?z(fe.value):b(fe.value).then(re,ae)}se((x=x.apply(E,a||[])).next())})};class gy extends _c{constructor(a,y){super(a,Object.assign({},gy.defaultOptions,y)),this.onWheel=x=>n5(this,void 0,void 0,function*(){this.options.preventDefault&&x.preventDefault();const b=x.deltaX,z=x.deltaY;yield this.scroll([-b,-z],x)}),this.shortcut=new d0(a.graph),this.bindEvents()}update(a){super.update(a),this.bindEvents()}bindEvents(){var a,y;const{trigger:x}=this.options;if(this.shortcut.unbindAll(),Vl(x)){(a=this.graphDom)===null||a===void 0||a.removeEventListener(Ea.WHEEL,this.onWheel);const{up:b=[],down:z=[],left:ee=[],right:re=[]}=x;this.shortcut.bind(b,ae=>this.scroll([0,-10],ae)),this.shortcut.bind(z,ae=>this.scroll([0,10],ae)),this.shortcut.bind(ee,ae=>this.scroll([-10,0],ae)),this.shortcut.bind(re,ae=>this.scroll([10,0],ae))}else(y=this.graphDom)===null||y===void 0||y.addEventListener(Ea.WHEEL,this.onWheel,{passive:!1})}get graphDom(){return this.context.graph.getCanvas().getContextService().getDomElement()}formatDisplacement(a){const{sensitivity:y}=this.options;return a=Bd(a,y),a=this.clampByDirection(a),a=this.clampByRange(a),a}clampByDirection([a,y]){const{direction:x}=this.options;return x==="x"?y=0:x==="y"&&(a=0),[a,y]}clampByRange([a,y]){const{viewport:x,canvas:b}=this.context,[z,ee]=b.getSize(),[re,ae,se,fe]=Td(this.options.range),me=[ee*re,z*ae,ee*se,z*fe],Ae=sh(dA(x.getCanvasCenter()),me),Le=il(x.getViewportCenter(),[a,y,0]);if(!Od(Le,Ae)){const{min:[ke,ze],max:[je,Ke]}=Ae;(Le[0]0||Le[0]>je&&a<0)&&(a=0),(Le[1]0||Le[1]>Ke&&y<0)&&(y=0)}return[a,y]}scroll(a,y){return n5(this,void 0,void 0,function*(){if(!this.validate(y))return;const{onFinish:x}=this.options,b=this.context.graph,z=this.formatDisplacement(a);yield b.translateBy(z,!1),x==null||x()})}validate(a){if(this.destroyed)return!1;const{enable:y}=this.options;return qi(y)?y(a):!!y}destroy(){var a;this.shortcut.destroy(),(a=this.graphDom)===null||a===void 0||a.removeEventListener(Ea.WHEEL,this.onWheel),super.destroy()}}gy.defaultOptions={enable:!0,sensitivity:1,preventDefault:!0,range:1/0};var r5=function(E,a,y,x){function b(z){return z instanceof y?z:new y(function(ee){ee(z)})}return 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fx{constructor(a={}){this.options=a,this.id="concentric",this.options=Object.assign(Object.assign({},f_),a)}execute(a,y){return(0,_t.mG)(this,void 0,void 0,function*(){return this.genericConcentricLayout(!1,a,y)})}assign(a,y){return(0,_t.mG)(this,void 0,void 0,function*(){yield this.genericConcentricLayout(!0,a,y)})}genericConcentricLayout(a,y,x){return(0,_t.mG)(this,void 0,void 0,function*(){const b=Object.assign(Object.assign({},this.options),x),{center:z,width:ee,height:re,sortBy:ae,maxLevelDiff:se,sweep:fe,clockwise:me,equidistant:Ae,preventOverlap:Le,startAngle:ke=3/2*Math.PI,nodeSize:ze,nodeSpacing:je}=b,Ke=y.getAllNodes(),Ze=y.getAllEdges(),Je=!ee&&typeof window!="undefined"?window.innerWidth:ee,tt=!re&&typeof window!="undefined"?window.innerHeight:re,it=z||[Je/2,tt/2];if(!(Ke!=null&&Ke.length)||Ke.length===1)return Pg(y,a,it);const st=[];let dt,lt=0;Rf(ze)?dt=Math.max(ze[0],ze[1]):qi(ze)?(dt=-1/0,Ke.forEach(En=>{const Cn=Math.max(...Tv(ze(En)));Cn>dt&&(dt=Cn)})):dt=ze,Rf(je)?lt=Math.max(je[0],je[1]):ji(je)&&(lt=je),Ke.forEach(En=>{const Cn=Wc(En);st.push(Cn);let ar=dt;const{data:An}=Cn;Rf(An.size)?ar=Math.max(An.size[0],An.size[1]):ji(An.size)?ar=An.size:Vl(An.size)&&(ar=Math.max(An.size.width,An.size.height)),dt=Math.max(dt,ar),qi(je)&&(lt=Math.max(je(En),lt))});const wt={};st.forEach((En,Cn)=>{wt[En.id]=Cn});let Bt=ae;(!Ws(Bt)||st[0].data[Bt]===void 0)&&(Bt="degree"),Bt==="degree"?st.sort((En,Cn)=>y.getDegree(Cn.id,"both")-y.getDegree(En.id,"both")):st.sort((En,Cn)=>Cn.data[Bt]-En.data[Bt]);const Ht=st[0],Qt=(se||(Bt==="degree"?y.getDegree(Ht.id,"both"):Ht.data[Bt]))/4,hn=[{nodes:[]}];let nn=hn[0];st.forEach(En=>{if(nn.nodes.length>0){const Cn=Math.abs(Bt==="degree"?y.getDegree(nn.nodes[0].id,"both")-y.getDegree(En.id,"both"):nn.nodes[0].data[Bt]-En.data[Bt]);Qt&&Cn>=Qt&&(nn={nodes:[]},hn.push(nn))}nn.nodes.push(En)});let wn=dt+lt;if(!Le){const En=hn.length>0&&hn[0].nodes.length>1,ar=(Math.min(Je,tt)/2-wn)/(hn.length+(En?1:0));wn=Math.min(wn,ar)}let Jn=0;if(hn.forEach(En=>{const Cn=fe===void 0?2*Math.PI-2*Math.PI/En.nodes.length:fe;if(En.dTheta=Cn/Math.max(1,En.nodes.length-1),En.nodes.length>1&&Le){const ar=Math.cos(En.dTheta)-Math.cos(0),An=Math.sin(En.dTheta)-Math.sin(0),gr=Math.sqrt(wn*wn/(ar*ar+An*An));Jn=Math.max(gr,Jn)}En.r=Jn,Jn+=wn}),Ae){let En=0,Cn=0;for(let ar=0;ar{An===0&&(Cn=ar.r||0),ar.r=Cn,Cn+=En})}return hn.forEach(En=>{const Cn=En.dTheta||0,ar=En.r||0;En.nodes.forEach((An,gr)=>{const aa=ke+(me?1:-1)*Cn*gr;An.data.x=it[0]+ar*Math.cos(aa),An.data.y=it[1]+ar*Math.sin(aa)})}),a&&st.forEach(En=>y.mergeNodeData(En.id,{x:En.data.x,y:En.data.y})),{nodes:st,edges:Ze}})}}function h_(E){const a=+this._x.call(null,E),y=+this._y.call(null,E);return j5(this.cover(a,y),a,y,E)}function j5(E,a,y,x){if(isNaN(a)||isNaN(y))return E;var b,z=E._root,ee={data:x},re=E._x0,ae=E._y0,se=E._x1,fe=E._y1,me,Ae,Le,ke,ze,je,Ke,Ze;if(!z)return E._root=ee,E;for(;z.length;)if((ze=a>=(me=(re+se)/2))?re=me:se=me,(je=y>=(Ae=(ae+fe)/2))?ae=Ae:fe=Ae,b=z,!(z=z[Ke=je<<1|ze]))return b[Ke]=ee,E;if(Le=+E._x.call(null,z.data),ke=+E._y.call(null,z.data),a===Le&&y===ke)return ee.next=z,b?b[Ke]=ee:E._root=ee,E;do b=b?b[Ke]=new Array(4):E._root=new Array(4),(ze=a>=(me=(re+se)/2))?re=me:se=me,(je=y>=(Ae=(ae+fe)/2))?ae=Ae:fe=Ae;while((Ke=je<<1|ze)===(Ze=(ke>=Ae)<<1|Le>=me));return b[Ze]=z,b[Ke]=ee,E}function g_(E){var a,y,x=E.length,b,z,ee=new Array(x),re=new Array(x),ae=1/0,se=1/0,fe=-1/0,me=-1/0;for(y=0;yfe&&(fe=b),zme&&(me=z));if(ae>fe||se>me)return this;for(this.cover(ae,se).cover(fe,me),y=0;yE||E>=b||x>a||a>=z;)switch(se=(afe||(re=ke.y0)>me||(ae=ke.x1)=Ke)<<1|E>=je)&&(ke=Ae[Ae.length-1],Ae[Ae.length-1]=Ae[Ae.length-1-ze],Ae[Ae.length-1-ze]=ke)}else{var Ze=E-+this._x.call(null,Le.data),Je=a-+this._y.call(null,Le.data),tt=Ze*Ze+Je*Je;if(tt=(Ae=(ee+ae)/2))?ee=Ae:ae=Ae,(ze=me>=(Le=(re+se)/2))?re=Le:se=Le,a=y,!(y=y[je=ze<<1|ke]))return this;if(!y.length)break;(a[je+1&3]||a[je+2&3]||a[je+3&3])&&(x=a,Ke=je)}for(;y.data!==E;)if(b=y,!(y=y.next))return this;return(z=y.next)&&delete y.next,b?(z?b.next=z:delete b.next,this):a?(z?a[je]=z:delete a[je],(y=a[0]||a[1]||a[2]||a[3])&&y===(a[3]||a[2]||a[1]||a[0])&&!y.length&&(x?x[Ke]=y:this._root=y),this):(this._root=z,this)}function A_(E){for(var a=0,y=E.length;a=(ke=(ae+me)/2))?ae=ke:me=ke,(it=y>=(ze=(se+Ae)/2))?se=ze:Ae=ze,(st=x>=(je=(fe+Le)/2))?fe=je:Le=je,z=ee,!(ee=ee[dt=st<<2|it<<1|tt]))return z[dt]=re,E;if(Ke=+E._x.call(null,ee.data),Ze=+E._y.call(null,ee.data),Je=+E._z.call(null,ee.data),a===Ke&&y===Ze&&x===Je)return re.next=ee,z?z[dt]=re:E._root=re,E;do z=z?z[dt]=new Array(8):E._root=new Array(8),(tt=a>=(ke=(ae+me)/2))?ae=ke:me=ke,(it=y>=(ze=(se+Ae)/2))?se=ze:Ae=ze,(st=x>=(je=(fe+Le)/2))?fe=je:Le=je;while((dt=st<<2|it<<1|tt)===(lt=(Je>=je)<<2|(Ze>=ze)<<1|Ke>=ke));return z[lt]=ee,z[dt]=re,E}function T_(E){Array.isArray(E)||(E=Array.from(E));const a=E.length,y=new Float64Array(a),x=new Float64Array(a),b=new Float64Array(a);let z=1/0,ee=1/0,re=1/0,ae=-1/0,se=-1/0,fe=-1/0;for(let me=0,Ae,Le,ke,ze;meae&&(ae=Le),kese&&(se=ke),zefe&&(fe=ze));if(z>ae||ee>se||re>fe)return this;this.cover(z,ee,re).cover(ae,se,fe);for(let me=0;meE||E>=ee||b>a||a>=re||z>y||y>=ae;)switch(Ae=(yke||(se=Je.y0)>ze||(fe=Je.z0)>je||(me=Je.x1)=dt)<<2|(a>=st)<<1|E>=it)&&(Je=Ke[Ke.length-1],Ke[Ke.length-1]=Ke[Ke.length-1-tt],Ke[Ke.length-1-tt]=Je)}else{var lt=E-+this._x.call(null,Ze.data),wt=a-+this._y.call(null,Ze.data),Bt=y-+this._z.call(null,Ze.data),Ht=lt*lt+wt*wt+Bt*Bt;if(HtMath.sqrt(Ih(E-x,2)+Ih(a-b,2)+Ih(y-z,2));function F_(E,a,y,x){const b=[],z=E-x,ee=a-x,re=y-x,ae=E+x,se=a+x,fe=y+x;return this.visit((me,Ae,Le,ke,ze,je,Ke)=>{if(!me.length)do{const Ze=me.data;R_(E,a,y,this._x(Ze),this._y(Ze),this._z(Ze))<=x&&b.push(Ze)}while(me=me.next);return Ae>ae||Le>se||ke>fe||ze=(ze=(ee+se)/2))?ee=ze:se=ze,(Je=Le>=(je=(re+fe)/2))?re=je:fe=je,(tt=ke>=(Ke=(ae+me)/2))?ae=Ke:me=Ke,a=y,!(y=y[it=tt<<2|Je<<1|Ze]))return this;if(!y.length)break;(a[it+1&7]||a[it+2&7]||a[it+3&7]||a[it+4&7]||a[it+5&7]||a[it+6&7]||a[it+7&7])&&(x=a,st=it)}for(;y.data!==E;)if(b=y,!(y=y.next))return this;return(z=y.next)&&delete y.next,b?(z?b.next=z:delete b.next,this):a?(z?a[it]=z:delete a[it],(y=a[0]||a[1]||a[2]||a[3]||a[4]||a[5]||a[6]||a[7])&&y===(a[7]||a[6]||a[5]||a[4]||a[3]||a[2]||a[1]||a[0])&&!y.length&&(x?x[st]=y:this._root=y),this):(this._root=z,this)}function __(E){for(var a=0,y=E.length;a{const{nodeStrength:Ae,x:Le,y:ke,z:ze,size:je}=fe.data;return{x:Le,y:ke,z:ze,size:je,index:me,id:fe.id,vx:0,vy:0,vz:0,weight:z*Ae}}),ae=(b===2?py(re,fe=>fe.x,fe=>fe.y):V5(re,fe=>fe.x,fe=>fe.y,fe=>fe.z)).visitAfter(J_),se=new Map;return re.forEach(fe=>{se.set(fe.id,fe),$_(fe,ae,b)}),re.map((fe,me)=>{const{id:Ae,data:Le}=ee[me],{mass:ke=1}=Le;x[Ae]={x:fe.vx/ke,y:fe.vy/ke,z:fe.vz/ke}}),x}function J_(E){let a=0,y=0,x=0,b=0,z=0;const ee=E.length;if(ee){for(let re=0;re{var re;if(((re=E.data)===null||re===void 0?void 0:re.id)===z.id)return;const ae=[y,x,b][ee-1],se=z.x-E.x||vx,fe=z.y-E.y||vx,me=z.z-E.z||vx,Ae=[se,fe,me],Le=ae-a;let ke=0;for(let Ke=0;Keq_(x,b,z,ee,re,E,y))}const ez={dimensions:2,maxIteration:500,gravity:10,factor:1,edgeStrength:50,nodeStrength:1e3,coulombDisScale:.005,damping:.9,maxSpeed:200,minMovement:.4,interval:.02,linkDistance:200,clusterNodeStrength:20,preventOverlap:!0,distanceThresholdMode:"mean"};class Z5{constructor(a={}){this.options=a,this.id="force",this.timeInterval=0,this.judgingDistance=0,this.running=!1,this.options=Object.assign(Object.assign({},ez),a)}execute(a,y){return(0,_t.mG)(this,void 0,void 0,function*(){return this.genericForceLayout(!1,a,y)})}assign(a,y){return(0,_t.mG)(this,void 0,void 0,function*(){yield this.genericForceLayout(!0,a,y)})}stop(){this.timeInterval&&typeof window!="undefined"&&window.clearInterval(this.timeInterval),this.running=!1}tick(a=this.options.maxIteration||1){if(this.lastResult)return this.lastResult;for(let x=0;(this.judgingDistance>this.lastOptions.minMovement||x<1)&&xthis.lastGraph.mergeNodeData(x.id,{x:x.data.x,y:x.data.y,z:this.options.dimensions===3?x.data.z:void 0})),y}genericForceLayout(a,y,x){return(0,_t.mG)(this,void 0,void 0,function*(){const b=Object.assign(Object.assign({},this.options),x),z=y.getAllNodes(),ee=y.getAllEdges(),re=this.formatOptions(b,y),{dimensions:ae,width:se,height:fe,nodeSize:me,getMass:Ae,nodeStrength:Le,edgeStrength:ke,linkDistance:ze}=re,je=z.map((lt,wt)=>Object.assign(Object.assign({},lt),{data:Object.assign(Object.assign({},lt.data),{x:ji(lt.data.x)?lt.data.x:Math.random()*se,y:ji(lt.data.y)?lt.data.y:Math.random()*fe,z:ji(lt.data.z)?lt.data.z:Math.random()*Math.sqrt(se*fe),size:me(lt)||30,mass:Ae(lt),nodeStrength:Le(lt)})})),Ke=ee.map(lt=>Object.assign(Object.assign({},lt),{data:Object.assign(Object.assign({},lt.data),{edgeStrength:ke(lt),linkDistance:ze(lt,y.getNode(lt.source),y.getNode(lt.target))})}));if(!(z!=null&&z.length))return this.lastResult={nodes:[],edges:ee},{nodes:[],edges:ee};const Ze={};z.forEach((lt,wt)=>{Ze[lt.id]={x:0,y:0,z:0}});const Je=new Xl({nodes:je,edges:Ke});this.formatCentripetal(re,Je);const{maxIteration:tt,minMovement:it,onTick:st}=re;if(this.lastLayoutNodes=je,this.lastLayoutEdges=Ke,this.lastAssign=a,this.lastGraph=y,this.lastCalcGraph=Je,this.lastOptions=re,this.lastVelMap=Ze,typeof window=="undefined")return;let dt=0;return new Promise(lt=>{this.timeInterval=window.setInterval(()=>{(!z||!this.running)&<({nodes:mx(y,je),edges:ee}),this.runOneStep(Je,y,dt,Ze,re),this.updatePosition(y,Je,Ze,re),a&&je.forEach(wt=>y.mergeNodeData(wt.id,{x:wt.data.x,y:wt.data.y,z:ae===3?wt.data.z:void 0})),st==null||st({nodes:mx(y,je),edges:ee}),dt++,(dt>=tt||this.judgingDistance{let se=1;ji(ae==null?void 0:ae.data.mass)&&(se=ae==null?void 0:ae.data.mass);const fe=y.getDegree(ae.id,"both");return!fe||fe<5?se:fe*5*se}),x.nodeSize=cx(a.nodeSize,a.nodeSpacing);const re=a.linkDistance?Cg(1,a.linkDistance):ae=>1+x.nodeSize(y.getNode(ae.source))+x.nodeSize(y.getNode(ae.target));return x.linkDistance=re,x.nodeStrength=Cg(1,a.nodeStrength),x.edgeStrength=Cg(1,a.edgeStrength),x}formatCentripetal(a,y){const{dimensions:x,centripetalOptions:b,center:z,clusterNodeStrength:ee,leafCluster:re,clustering:ae,nodeClusterBy:se}=a,fe=y.getAllNodes(),me=b||{leaf:2,single:2,others:1,center:Ke=>({x:z[0],y:z[1],z:x===3?z[2]:void 0})};typeof ee!="function"&&(a.clusterNodeStrength=Ke=>ee);let Ae,Le;if(re&&se&&(Ae=Q5(y,se),Le=Array.from(new Set(fe==null?void 0:fe.map(Ke=>Ke.data[se])))||[],a.centripetalOptions=Object.assign(me,{single:100,leaf:Ke=>{const{siblingLeaves:Ze,sameTypeLeaves:Je}=Ae[Ke.id]||{};return(Je==null?void 0:Je.length)===(Ze==null?void 0:Ze.length)||(Le==null?void 0:Le.length)===1?1:a.clusterNodeStrength(Ke)},others:1,center:Ke=>{const Ze=y.getDegree(Ke.id,"both");if(!Ze)return{x:100,y:100,z:0};let Je;if(Ze===1){const{sameTypeLeaves:tt=[]}=Ae[Ke.id]||{};tt.length===1?Je=void 0:tt.length>1&&(Je=Y5(tt))}else Je=void 0;return{x:Je==null?void 0:Je.x,y:Je==null?void 0:Je.y,z:Je==null?void 0:Je.z}}})),ae&&se){Ae||(Ae=Q5(y,se)),Le||(Le=Array.from(new Set(fe.map(Ze=>Ze.data[se])))),Le=Le.filter(Ze=>Ze!==void 0);const Ke={};Le.forEach(Ze=>{const Je=fe.filter(tt=>tt.data[se]===Ze).map(tt=>y.getNode(tt.id));Ke[Ze]=Y5(Je)}),a.centripetalOptions=Object.assign(me,{single:Ze=>a.clusterNodeStrength(Ze),leaf:Ze=>a.clusterNodeStrength(Ze),others:Ze=>a.clusterNodeStrength(Ze),center:Ze=>{const Je=Ke[Ze.data[se]];return{x:Je==null?void 0:Je.x,y:Je==null?void 0:Je.y,z:Je==null?void 0:Je.z}}})}const{leaf:ke,single:ze,others:je}=a.centripetalOptions||{};ke&&typeof ke!="function"&&(a.centripetalOptions.leaf=()=>ke),ze&&typeof ze!="function"&&(a.centripetalOptions.single=()=>ze),je&&typeof je!="function"&&(a.centripetalOptions.others=()=>je)}runOneStep(a,y,x,b,z){const ee={},re=a.getAllNodes(),ae=a.getAllEdges();if(!(re!=null&&re.length))return;const{monitor:se}=z;if(this.calRepulsive(a,ee,z),ae&&this.calAttractive(a,ee,z),this.calGravity(a,y,ee,z),this.updateVelocity(a,ee,b,z),se){const fe=this.calTotalEnergy(ee,re);se({energy:fe,nodes:y.getAllNodes(),edges:y.getAllEdges(),iterations:x})}}calTotalEnergy(a,y){if(!(y!=null&&y.length))return 0;let x=0;return y.forEach((b,z)=>{const ee=a[b.id].x,re=a[b.id].y,ae=this.options.dimensions===3?a[b.id].z:0,se=ee*ee+re*re+ae*ae,{mass:fe=1}=b.data;x+=fe*se*.5}),x}calRepulsive(a,y,x){const{dimensions:b,factor:z,coulombDisScale:ee}=x;X_(a,z,ee*ee,y,b)}calAttractive(a,y,x){const{dimensions:b,nodeSize:z}=x;a.getAllEdges().forEach((ee,re)=>{const{source:ae,target:se}=ee,fe=a.getNode(ae),me=a.getNode(se);if(!fe||!me)return;let Ae=me.data.x-fe.data.x,Le=me.data.y-fe.data.y,ke=b===3?me.data.z-fe.data.z:0;!Ae&&!Le&&(Ae=Math.random()*.01,Le=Math.random()*.01,b===3&&!ke&&(ke=Math.random()*.01));const ze=Math.sqrt(Ae*Ae+Le*Le+ke*ke);if(ze{const{id:ze,data:je}=ke,{mass:Ke,x:Ze,y:Je,z:tt}=je,it=y.getNode(ze);let st=0,dt=0,lt=0,wt=Ae;const Bt=a.getDegree(ze,"in"),Ht=a.getDegree(ze,"out"),Qt=a.getDegree(ze,"both"),hn=z==null?void 0:z(it,Qt);if(hn){const[nn,wn,Jn]=hn;st=Ze-nn,dt=Je-wn,wt=Jn}else st=Ze-me[0],dt=Je-me[1],lt=tt-me[2];if(wt&&(x[ze].x-=wt*st/Ke,x[ze].y-=wt*dt/Ke,x[ze].z-=wt*lt/Ke),Le){const{leaf:nn,single:wn,others:Jn,center:pn}=Le,{x:En,y:Cn,z:ar,centerStrength:An}=(pn==null?void 0:pn(it,re,ae,se,fe))||{x:0,y:0,z:0,centerStrength:0};if(!ji(En)||!ji(Cn))return;const gr=(Ze-En)/Ke,aa=(Je-Cn)/Ke,na=(tt-ar)/Ke;if(An&&(x[ze].x-=An*gr,x[ze].y-=An*aa,x[ze].z-=An*na),Qt===0){const Cr=wn(it);if(!Cr)return;x[ze].x-=Cr*gr,x[ze].y-=Cr*aa,x[ze].z-=Cr*na;return}if(Bt===0||Ht===0){const Cr=nn(it,re,ae);if(!Cr)return;x[ze].x-=Cr*gr,x[ze].y-=Cr*aa,x[ze].z-=Cr*na;return}const Qr=Jn(it);if(!Qr)return;x[ze].x-=Qr*gr,x[ze].y-=Qr*aa,x[ze].z-=Qr*na}})}updateVelocity(a,y,x,b){const{damping:z,maxSpeed:ee,interval:re,dimensions:ae}=b,se=a.getAllNodes();se!=null&&se.length&&se.forEach(fe=>{const{id:me}=fe;let Ae=(x[me].x+y[me].x*re)*z||.01,Le=(x[me].y+y[me].y*re)*z||.01,ke=ae===3?(x[me].z+y[me].z*re)*z||.01:0;const ze=Math.sqrt(Ae*Ae+Le*Le+ke*ke);if(ze>ee){const je=ee/ze;Ae=je*Ae,Le=je*Le,ke=je*ke}x[me]={x:Ae,y:Le,z:ke}})}updatePosition(a,y,x,b){const{distanceThresholdMode:z,interval:ee,dimensions:re}=b,ae=y.getAllNodes();if(!(ae!=null&&ae.length)){this.judgingDistance=0;return}let se=0;z==="max"?this.judgingDistance=-1/0:z==="min"&&(this.judgingDistance=1/0),ae.forEach(fe=>{const{id:me}=fe,Ae=a.getNode(me);if(ji(Ae.data.fx)&&ji(Ae.data.fy)){y.mergeNodeData(me,{x:Ae.data.fx,y:Ae.data.fy,z:re===3?Ae.data.fz:void 0});return}const Le=x[me].x*ee,ke=x[me].y*ee,ze=re===3?x[me].z*ee:0;y.mergeNodeData(me,{x:fe.data.x+Le,y:fe.data.y+ke,z:fe.data.z+ze});const je=Math.sqrt(Le*Le+ke*ke+ze*ze);switch(z){case"max":this.judgingDistanceje&&(this.judgingDistance=je);break;default:se=se+je;break}}),(!z||z==="mean")&&(this.judgingDistance=se/ae.length)}}const Q5=(E,a)=>{const y=E.getAllNodes();if(!(y!=null&&y.length))return{};const x={};return y.forEach((b,z)=>{E.getDegree(b.id,"both")===1&&(x[b.id]=tz(E,"leaf",b,a))}),x},tz=(E,a,y,x)=>{const b=E.getDegree(y.id,"in"),z=E.getDegree(y.id,"out");let ee=y,re=[];b===0?(ee=E.getSuccessors(y.id)[0],re=E.getNeighbors(ee.id)):z===0&&(ee=E.getPredecessors(y.id)[0],re=E.getNeighbors(ee.id)),re=re.filter(se=>E.getDegree(se.id,"in")===0||E.getDegree(se.id,"out")===0);const ae=nz(E,a,x,y,re);return{coreNode:ee,siblingLeaves:re,sameTypeLeaves:ae}},nz=(E,a,y,x,b)=>{const z=x.data[y]||"";let ee=(b==null?void 0:b.filter(re=>re.data[y]===z))||[];return a==="leaf"&&(ee=ee.filter(re=>E.getDegree(re.id,"in")===0||E.getDegree(re.id,"out")===0)),ee},Y5=E=>{const a={x:0,y:0};E.forEach(x=>{const{x:b,y:z}=x.data;a.x+=b||0,a.y+=z||0});const y=E.length||1;return{x:a.x/y,y:a.y/y}},mx=(E,a)=>a.map(y=>{const{id:x,data:b}=y,z=E.getNode(x);return Object.assign(Object.assign({},z),{data:Object.assign(Object.assign({},z.data),{x:b.x,y:b.y,z:b.z})})});var Os=Ie(81254);const jq=Os.XA,Gq=Os.a_,Hq=Os.yQ,Vq=Os.Hs,Kq=Os.Ec,Zq=Os.dx,Qq=Os.LU,Yq=Os.Rm,mh=Os.y3,Xq=Os.qK,Jq=Os.pb,qq=Os.j,$q=Os.sO,e$=Os.BZ,t$=Os.EK,n$=Os.Db,r$=Os.Fx,a$=Os.tU,i$=Os.Ym,o$=Os.rs,s$=Os.QR,l$=Os.TB,u$=Os.oH,X5=Os.Sc,c$=Os.BN,d$=Os.it,f$=Os.$r,h$=Os.QM,g$=Os.AV;var v$=(Os.y3,Os.y3);const m$=Os.GH,p$=Os.SO,y$=Os.uZ,E$=Os.yU,A$=Os.F1,x$=Os.re,J5=E=>{const a=[],y=E.length;for(let x=0;xa[b][x]+a[x][z]&&(a[b][z]=a[b][x]+a[x][z]);return a},q5=(E,a)=>{const{nodes:y,edges:x}=E,b=[],z={};if(!y)throw new Error("invalid nodes data!");return y&&y.forEach((ee,re)=>{z[ee.id]=re;const ae=[];b.push(ae)}),x==null||x.forEach(ee=>{const{source:re,target:ae}=ee,se=z[re],fe=z[ae];se===void 0||fe===void 0||(b[se][fe]=1,a||(b[fe][se]=1))}),b},rz=(E,a)=>{const y=[];return E.forEach(x=>{const b=[];x.forEach(z=>{b.push(z*a)}),y.push(b)}),y},az=E=>{let a=1/0,y=1/0,x=-1/0,b=-1/0;return E.forEach(z=>{let ee=z.data.size;Rf(ee)?ee.length===1&&(ee=[ee[0],ee[0]]):ji(ee)?ee=[ee,ee]:(ee===void 0||isNaN(ee))&&(ee=[30,30]);const re=[ee[0]/2,ee[1]/2],ae=z.data.x-re[0],se=z.data.x+re[0],fe=z.data.y-re[1],me=z.data.y+re[1];a>ae&&(a=ae),y>fe&&(y=fe),xMath.sqrt((E.x-a.x)*(E.x-a.x)+(E.y-a.y)*(E.y-a.y)),px=(E,a,y,x="TB",b,z={})=>{if(!(a!=null&&a.length))return;const{stopBranchFn:ee,stopAllFn:re}=z;for(let ae=0;ae{const Ke=Wc(re[je]);Ke.data.x=ze[0]+z[0],Ke.data.y=ze[1]+z[1],Le.push(Ke)}),a&&Le.forEach(ze=>y.mergeNodeData(ze.id,{x:ze.data.x,y:ze.data.y})),{nodes:Le,edges:ae}})}}const oz=E=>{let a=-999999;E.forEach(y=>{y.forEach(x=>{x!==1/0&&a{y.forEach((b,z)=>{b===1/0&&(E[x][z]=a)})})},sz=E=>{const y=mh.mul(mh.pow(E,2),-.5),x=y.mean("row"),b=y.mean("column"),z=y.mean();y.add(z).subRowVector(x).subColumnVector(b);const ee=new X5(y),re=mh.sqrt(ee.diagonalMatrix).diagonal();return ee.leftSingularVectors.toJSON().map(ae=>mh.mul([ae],[re]).toJSON()[0].splice(0,2))};function yx(E){return!!E.tick&&!!E.stop}const lz={gForce:!0,force2:!0,d3force:!0,fruchterman:!0,forceAtlas2:!0,force:!0,"graphin-force":!0},uz={center:[0,0],comboPadding:10,treeKey:"combo"};class cz{constructor(a={}){this.options=a,this.id="comboCombined",this.options=Object.assign(Object.assign({},uz),a)}execute(a,y){return(0,_t.mG)(this,void 0,void 0,function*(){return this.genericComboCombinedLayout(!1,a,y)})}assign(a,y){return(0,_t.mG)(this,void 0,void 0,function*(){yield this.genericComboCombinedLayout(!0,a,y)})}genericComboCombinedLayout(a,y,x){return(0,_t.mG)(this,void 0,void 0,function*(){const b=this.initVals(Object.assign(Object.assign({},this.options),x)),{center:z,treeKey:ee,outerLayout:re}=b,ae=y.getAllNodes().filter(lt=>!lt.data._isCombo),se=y.getAllNodes().filter(lt=>lt.data._isCombo),fe=y.getAllEdges(),me=ae==null?void 0:ae.length;if(!me||me===1)return Pg(y,a,z);const Ae=[],Le=new Map;ae.forEach(lt=>{Le.set(lt.id,lt)});const ke=new Map;se.forEach(lt=>{ke.set(lt.id,lt)});const ze=new Map,je=this.getInnerGraphs(y,ee,Le,ke,fe,b,ze);yield Promise.all(je);const Ke=new Map,Ze=[],Je=new Map;let tt=!0;y.getRoots(ee).forEach(lt=>{const wt=ze.get(lt.id),Bt=ke.get(lt.id)||Le.get(lt.id),Ht={id:lt.id,data:Object.assign(Object.assign({},lt.data),{x:wt.data.x||Bt.data.x,y:wt.data.y||Bt.data.y,fx:wt.data.fx||Bt.data.fx,fy:wt.data.fy||Bt.data.fy,mass:wt.data.mass||Bt.data.mass,size:wt.data.size})};Ze.push(Ht),Ke.set(lt.id,!0),!isNaN(Ht.data.x)&&Ht.data.x!==0&&!isNaN(Ht.data.y)&&Ht.data.y!==0?tt=!1:(Ht.data.x=Math.random()*100,Ht.data.y=Math.random()*100),px(y,[lt],Qt=>{Qt.id!==lt.id&&Je.set(Qt.id,lt.id)},"TB",ee)});const it=[];fe.forEach(lt=>{const wt=Je.get(lt.source)||lt.source,Bt=Je.get(lt.target)||lt.target;wt!==Bt&&Ke.has(wt)&&Ke.has(Bt)&&it.push({id:lt.id,source:wt,target:Bt,data:{}})});let st;if(Ze!=null&&Ze.length){if(Ze.length===1)Ze[0].data.x=z[0],Ze[0].data.y=z[1];else{const lt=new Xl({nodes:Ze,edges:it}),wt=re||new Z5;tt&&lz[wt.id]&&(yield(Ze.length<100?new eM:new fx).assign(lt));const Bt=Object.assign({center:z,kg:5,preventOverlap:!0,animate:!1},wt.id==="force"?{gravity:1,factor:4,linkDistance:(Ht,Qt,hn)=>{const nn=Math.max(...Qt.data.size)||32,wn=Math.max(...hn.data.size)||32;return nn/2+wn/2+200}}:{});st=yield tM(wt,lt,Bt)}ze.forEach(lt=>{var wt;const Bt=st.nodes.find(hn=>hn.id===lt.id);if(Bt){const{x:hn,y:nn}=Bt.data;lt.data.visited=!0,lt.data.x=hn,lt.data.y=nn,Ae.push({id:lt.id,data:{x:hn,y:nn}})}const{x:Ht,y:Qt}=lt.data;(wt=lt.data.nodes)===null||wt===void 0||wt.forEach(hn=>{Ae.push({id:hn.id,data:{x:hn.data.x+Ht,y:hn.data.y+Qt}})})}),ze.forEach(({data:lt})=>{const{x:wt,y:Bt,visited:Ht,nodes:Qt}=lt;Qt==null||Qt.forEach(hn=>{if(!Ht){const nn=Ae.find(wn=>wn.id===hn.id);nn.data.x+=wt||0,nn.data.y+=Bt||0}})})}return a&&Ae.forEach(lt=>{y.mergeNodeData(lt.id,{x:lt.data.x,y:lt.data.y})}),{nodes:Ae,edges:fe}})}initVals(a){const y=Object.assign({},a),{nodeSize:x,spacing:b,comboPadding:z}=a;let ee,re;if(ji(b)?re=()=>b:qi(b)?re=b:re=()=>0,y.spacing=re,!x)ee=se=>{const fe=re(se);return se.size?Rf(se.size)?((se.size[0]>se.size[1]?se.size[0]:se.size[1])+fe)/2:Vl(se.size)?((se.size.width>se.size.height?se.size.width:se.size.height)+fe)/2:(se.size+fe)/2:32+fe/2};else if(qi(x))ee=se=>{const fe=x(se),me=re(se);return Rf(se.size)?((se.size[0]>se.size[1]?se.size[0]:se.size[1])+me)/2:((fe||32)+me)/2};else if(Rf(x)){const fe=(x[0]>x[1]?x[0]:x[1])/2;ee=me=>fe+re(me)/2}else{const se=x/2;ee=fe=>se+re(fe)/2}y.nodeSize=ee;let ae;return ji(z)?ae=()=>z:Rf(z)?ae=()=>Math.max.apply(null,z):qi(z)?ae=z:ae=()=>0,y.comboPadding=ae,y}getInnerGraphs(a,y,x,b,z,ee,re){const{nodeSize:ae,comboPadding:se,spacing:fe,innerLayout:me}=ee,Ae=me||new fx({}),Le={center:[0,0],preventOverlap:!0,nodeSpacing:fe},ke=[],ze=je=>{let Ke=(se==null?void 0:se(je))||10;return Rf(Ke)&&(Ke=Math.max(...Ke)),{size:Ke?[Ke*2,Ke*2]:[30,30],padding:Ke}};return a.getRoots(y).forEach(je=>{re.set(je.id,{id:je.id,data:{nodes:[],size:ze(je).size}});let Ke=Promise.resolve();px(a,[je],Ze=>{var Je;if(!Ze.data._isCombo)return;const{size:tt,padding:it}=ze(Ze);if(!(!((Je=a.getChildren(Ze.id,y))===null||Je===void 0)&&Je.length))re.set(Ze.id,{id:Ze.id,data:Object.assign(Object.assign({},Ze.data),{size:tt})});else{const st=re.get(Ze.id);re.set(Ze.id,{id:Ze.id,data:Object.assign({nodes:[]},st==null?void 0:st.data)});const dt=new Map,lt=a.getChildren(Ze.id,y).map(Ht=>{if(Ht.data._isCombo)return re.has(Ht.id)||re.set(Ht.id,{id:Ht.id,data:Object.assign({},Ht.data)}),dt.set(Ht.id,!0),re.get(Ht.id);const Qt=x.get(Ht.id)||b.get(Ht.id);return dt.set(Ht.id,!0),{id:Ht.id,data:Object.assign(Object.assign({},Qt.data),Ht.data)}}),wt={nodes:lt,edges:z.filter(Ht=>dt.has(Ht.source)&&dt.has(Ht.target))};let Bt=1/0;lt.forEach(Ht=>{var Qt;let{size:hn}=Ht.data;hn||(hn=((Qt=re.get(Ht.id))===null||Qt===void 0?void 0:Qt.data.size)||(ae==null?void 0:ae(Ht))||[30,30]),ji(hn)&&(hn=[hn,hn]);const[nn,wn]=hn;Bt>nn&&(Bt=nn),Bt>wn&&(Bt=wn),Ht.data.size=hn}),Ke=Ke.then(()=>(0,_t.mG)(this,void 0,void 0,function*(){const Ht=new Xl(wt);yield tM(Ae,Ht,Le,!0);const{minX:Qt,minY:hn,maxX:nn,maxY:wn}=az(lt),Jn={x:(nn+Qt)/2,y:(wn+hn)/2};wt.nodes.forEach(En=>{En.data.x-=Jn.x,En.data.y-=Jn.y});const pn=[Math.max(nn-Qt,Bt)+it*2,Math.max(wn-hn,Bt)+it*2];re.get(Ze.id).data.size=pn,re.get(Ze.id).data.nodes=lt}))}return!0},"BT",y),ke.push(Ke)}),ke}}function tM(E,a,y,x){var b;return(0,_t.mG)(this,void 0,void 0,function*(){return yx(E)?(E.execute(a,y),E.stop(),E.tick((b=y.iterations)!==null&&b!==void 0?b:300)):x?yield E.assign(a,y):yield E.execute(a,y)})}function hu(E){return function(){return E}}function ph(E){return(E()-.5)*1e-6}function dz(E){return E.index}function nM(E,a){var y=E.get(a);if(!y)throw new Error("node not found: "+a);return y}function fz(E){var a=dz,y=me,x,b=hu(30),z,ee,re,ae,se,fe=1;E==null&&(E=[]);function me(je){return 1/Math.min(re[je.source.index],re[je.target.index])}function Ae(je){for(var Ke=0,Ze=E.length;Ke[a(it,st,ee),it])),tt;for(je=0,re=new Array(Ke);je{}};function 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wz=10,Mz=Math.PI*(3-Math.sqrt(5));function Dz(E){var a,y=1,x=.001,b=1-Math.pow(x,1/300),z=0,ee=.6,re=new Map,ae=lM(me),se=mz("tick","end"),fe=bz();E==null&&(E=[]);function me(){Ae(),se.call("tick",a),y1?(je==null?re.delete(ze):re.set(ze,ke(je)),a):re.get(ze)},find:function(ze,je,Ke){var Ze=0,Je=E.length,tt,it,st,dt,lt;for(Ke==null?Ke=1/0:Ke*=Ke,Ze=0;Ze1?(se.on(ze,je),a):se.on(ze)}}}function Iz(){var E,a,y,x,b=hu(-30),z,ee=1,re=1/0,ae=.81;function se(Le){var ke,ze=E.length,je=py(E,Cz,Pz).visitAfter(me);for(x=Le,ke=0;ke=re)return;(Le.data!==a||Le.next)&&(Ke===0&&(Ke=ph(y),tt+=Ke*Ke),Ze===0&&(Ze=ph(y),tt+=Ze*Ze),ttAe.index){var Ht=Le-lt.x-lt.vx,Qt=ke-lt.y-lt.vy,hn=Ht*Ht+Qt*Qt;hnLe+Bt||stke+Bt||dtse.r&&(se.r=se[fe].r)}function ae(){if(a){var se,fe=a.length,me;for(y=new Array(fe),se=0;sey.id},manyBody:{},center:{x:0,y:0}},this.context={options:{},assign:!1,nodes:[],edges:[]},nc(this.options,a),this.options.forceSimulation&&(this.simulation=this.options.forceSimulation)}execute(a,y){return(0,_t.mG)(this,void 0,void 0,function*(){return this.genericLayout(!1,a,y)})}assign(a,y){return(0,_t.mG)(this,void 0,void 0,function*(){yield this.genericLayout(!0,a,y)})}stop(){this.simulation.stop()}tick(a){return this.simulation.tick(a),this.getResult()}restart(){this.simulation.restart()}setFixedPosition(a,y){const x=this.context.nodes.find(b=>b.id===a);x&&y.forEach((b,z)=>{if(typeof b=="number"||b===null){const ee=["fx","fy","fz"][z];x[ee]=b}})}getOptions(a){var y,x;const b=nc({},this.options,a);return b.collide&&((y=b.collide)===null||y===void 0?void 0:y.radius)===void 0&&(b.collide=b.collide||{},b.collide.radius=(x=b.nodeSize)!==null&&x!==void 0?x:10),b.iterations===void 0&&(b.link&&b.link.iterations===void 0&&(b.iterations=b.link.iterations),b.collide&&b.collide.iterations===void 0&&(b.iterations=b.collide.iterations)),this.context.options=b,b}genericLayout(a,y,x){var b;return(0,_t.mG)(this,void 0,void 0,function*(){const z=this.getOptions(x),ee=y.getAllNodes().map(({id:fe,data:me})=>Object.assign(Object.assign({id:fe},me),xg(me.data,this.config.inputNodeAttrs))),re=y.getAllEdges().map(fe=>Object.assign({},fe));Object.assign(this.context,{assign:a,nodes:ee,edges:re,graph:y});const ae=new Promise(fe=>{this.resolver=fe}),se=this.setSimulation(z);return se.nodes(ee),(b=se.force("link"))===null||b===void 0||b.links(re),ae})}getResult(){const{assign:a,nodes:y,edges:x,graph:b}=this.context,z=y.map(re=>({id:re.id,data:Object.assign(Object.assign({},re.data),xg(re,this.config.outputNodeAttrs))})),ee=x.map(({id:re,source:ae,target:se,data:fe})=>({id:re,source:typeof ae=="object"?ae.id:ae,target:typeof se=="object"?se.id:se,data:fe}));return a&&z.forEach(re=>b.mergeNodeData(re.id,re.data)),{nodes:z,edges:ee}}initSimulation(){return Dz()}setSimulation(a){const y=this.simulation||this.options.forceSimulation||this.initSimulation();return this.simulation||(this.simulation=y.on("tick",()=>{var x;return(x=a.onTick)===null||x===void 0?void 0:x.call(a,this.getResult())}).on("end",()=>{var x;return(x=this.resolver)===null||x===void 0?void 0:x.call(this,this.getResult())})),dM(y,this.config.simulationAttrs.map(x=>[x,a[x]])),Object.entries(this.forceMap).forEach(([x,b])=>{const z=x;if(a[x]){let ee=y.force(z);ee||(ee=b(),y.force(z,ee)),dM(ee,Object.entries(a[z]))}else y.force(z,null)}),y}}const dM=(E,a)=>a.reduce((y,[x,b])=>!y[x]||b===void 0?y:y[x].call(E,b),E);var fM=Ie(92546),_z=Ie.n(fM);class Sy{constructor(a){this.id="dagre",this.options={},Object.assign(this.options,Sy.defaultOptions,a)}execute(a,y){return(0,_t.mG)(this,void 0,void 0,function*(){return this.genericDagreLayout(!1,a,Object.assign(Object.assign({},this.options),y))})}assign(a,y){return(0,_t.mG)(this,void 0,void 0,function*(){yield this.genericDagreLayout(!0,a,Object.assign(Object.assign({},this.options),y))})}genericDagreLayout(a,y,x){return(0,_t.mG)(this,void 0,void 0,function*(){const{nodeSize:b}=x,z=new fM.graphlib.Graph;z.setGraph(x),z.setDefaultEdgeLabel(()=>({}));const ee=y.getAllNodes(),re=y.getAllEdges();[...ee,...re].some(({id:se})=>ji(se))&&console.error("Dagre layout only support string id, it will convert number to string."),y.getAllNodes().forEach(se=>{const{id:fe}=se,me=Object.assign({},se.data);if(b!==void 0){const[Ae,Le]=Tv(qi(b)?b(se):b);Object.assign(me,{width:Ae,height:Le})}z.setNode(fe.toString(),me)}),y.getAllEdges().forEach(({id:se,source:fe,target:me})=>{z.setEdge(fe.toString(),me.toString(),{id:se})}),_z().layout(z);const ae={nodes:[],edges:[]};return z.nodes().forEach(se=>{const fe=z.node(se);ae.nodes.push({id:se,data:fe}),a&&y.mergeNodeData(se,fe)}),z.edges().forEach(se=>{const fe=z.edge(se),{id:me}=fe,Ae=(0,_t._T)(fe,["id"]),{v:Le,w:ke}=se;ae.edges.push({id:me,source:Le,target:ke,data:Ae}),a&&y.mergeEdgeData(me,Ae)}),ae})}}Sy.defaultOptions={};class xx{constructor(a){this.id=a.id||0,this.rx=a.rx,this.ry=a.ry,this.fx=0,this.fy=0,this.mass=a.mass,this.degree=a.degree,this.g=a.g||0}distanceTo(a){const y=this.rx-a.rx,x=this.ry-a.ry;return Math.hypot(y,x)}setPos(a,y){this.rx=a,this.ry=y}resetForce(){this.fx=0,this.fy=0}addForce(a){const y=a.rx-this.rx,x=a.ry-this.ry;let b=Math.hypot(y,x);b=b<1e-4?1e-4:b;const z=this.g*(this.degree+1)*(a.degree+1)/b;this.fx+=z*y/b,this.fy+=z*x/b}in(a){return a.contains(this.rx,this.ry)}add(a){const y=this.mass+a.mass,x=(this.rx*this.mass+a.rx*a.mass)/y,b=(this.ry*this.mass+a.ry*a.mass)/y,z=this.degree+a.degree,ee={rx:x,ry:b,mass:y,degree:z};return new xx(ee)}}class p0{constructor(a){this.xmid=a.xmid,this.ymid=a.ymid,this.length=a.length,this.massCenter=a.massCenter||[0,0],this.mass=a.mass||1}getLength(){return this.length}contains(a,y){const x=this.length/2;return a<=this.xmid+x&&a>=this.xmid-x&&y<=this.ymid+x&&y>=this.ymid-x}NW(){const a=this.xmid-this.length/4,y=this.ymid+this.length/4,x=this.length/2,b={xmid:a,ymid:y,length:x};return new p0(b)}NE(){const a=this.xmid+this.length/4,y=this.ymid+this.length/4,x=this.length/2,b={xmid:a,ymid:y,length:x};return new p0(b)}SW(){const a=this.xmid-this.length/4,y=this.ymid-this.length/4,x=this.length/2,b={xmid:a,ymid:y,length:x};return new p0(b)}SE(){const a=this.xmid+this.length/4,y=this.ymid-this.length/4,x=this.length/2,b={xmid:a,ymid:y,length:x};return new p0(b)}}class y0{constructor(a){this.body=null,this.quad=null,this.NW=null,this.NE=null,this.SW=null,this.SE=null,this.theta=.5,a!=null&&(this.quad=a)}insert(a){if(this.body==null){this.body=a;return}this._isExternal()?(this.quad&&(this.NW=new y0(this.quad.NW()),this.NE=new y0(this.quad.NE()),this.SW=new y0(this.quad.SW()),this.SE=new y0(this.quad.SE())),this._putBody(this.body),this._putBody(a),this.body=this.body.add(a)):(this.body=this.body.add(a),this._putBody(a))}_putBody(a){this.quad&&(a.in(this.quad.NW())&&this.NW?this.NW.insert(a):a.in(this.quad.NE())&&this.NE?this.NE.insert(a):a.in(this.quad.SW())&&this.SW?this.SW.insert(a):a.in(this.quad.SE())&&this.SE&&this.SE.insert(a))}_isExternal(){return this.NW==null&&this.NE==null&&this.SW==null&&this.SE==null}updateForce(a){if(!(this.body==null||a===this.body))if(this._isExternal())a.addForce(this.body);else{const y=this.quad?this.quad.getLength():0,x=this.body.distanceTo(a);y/xWc(Ke,[re,ae])),ke=b.filter(Ke=>{const{source:Ze,target:Je}=Ke;return Ze!==Je}),ze=new Xl({nodes:Le,edges:ke}),je=this.getSizes(ze,me);if(this.run(ze,y,fe,je,a,ee),se){for(let Ze=0;Ze250&&(x.barnesHut=!0),ae===void 0&&y>100&&(x.prune=!0),se===0&&!ae?(x.maxIteration=250,y<=200&&y>100?x.maxIteration=1e3:y>200&&(x.maxIteration=1200)):se===0&&ae&&(x.maxIteration=100,y<=200&&y>100?x.maxIteration=500:y>200&&(x.maxIteration=950)),fe||(x.kr=50,y>100&&y<=500?x.kr=20:y>500&&(x.kr=1)),me||(x.kg=20,y>100&&y<=500?x.kg=10:y>500&&(x.kg=1)),x}run(a,y,x,b,z,ee){const{kr:re,barnesHut:ae,onTick:se}=ee,fe=a.getAllNodes();let me=0,Ae=x;const Le={},ke={},ze={};for(let je=0;je0;)me=this.oneStep(a,{iter:Ae,preventOverlapIters:50,krPrime:100,sg:me,forces:Le,preForces:ke,bodies:ze,sizes:b},ee),Ae--,se==null||se({nodes:fe,edges:y.getAllEdges()});return a}oneStep(a,y,x){const{iter:b,preventOverlapIters:z,krPrime:ee,sg:re,preForces:ae,bodies:se,sizes:fe}=y;let{forces:me}=y;const{preventOverlap:Ae,barnesHut:Le}=x,ke=a.getAllNodes();for(let ze=0;zez||!Ae)?me=this.getOptRepGraForces(a,me,se,x):me=this.getRepGraForces(a,b,z,me,ee,fe,x),this.updatePos(a,me,ae,re,x)}getAttrForces(a,y,x,b,z,ee){const{preventOverlap:re,dissuadeHubs:ae,mode:se,prune:fe}=ee,me=a.getAllEdges();for(let Ae=0;Ae0&&(it=tt,st=tt),z[Le][0]+=it*Je[0],z[ke][0]-=st*Je[0],z[Le][1]+=it*Je[1],z[ke][1]-=st*Je[1]}return z}getOptRepGraForces(a,y,x,b){const{kg:z,center:ee,prune:re}=b,ae=a.getAllNodes(),se=ae.length;let fe=9e10,me=-9e10,Ae=9e10,Le=-9e10;for(let Ze=0;Ze=me&&(me=tt.x),tt.x<=fe&&(fe=tt.x),tt.y>=Le&&(Le=tt.y),tt.y<=Ae&&(Ae=tt.y))}const ke=Math.max(me-fe,Le-Ae),ze={xmid:(me+fe)/2,ymid:(Le+Ae)/2,length:ke,massCenter:ee,mass:se},je=new p0(ze),Ke=new y0(je);for(let Ze=0;Ze0&&(Bt=se*(Ke+1)*(dt+1)/wt),b[je.id][0]-=Bt*lt[0],b[st.id][0]+=Bt*lt[0],b[je.id][1]-=Bt*lt[1],b[st.id][1]+=Bt*lt[1]}const Ze=[je.data.x-me[0],je.data.y-me[1]],Je=Math.hypot(Ze[0],Ze[1]);Ze[0]=Ze[0]/Je,Ze[1]=Ze[1]/Je;const tt=fe*(Ke+1);b[je.id][0]-=tt*Ze[0],b[je.id][1]-=tt*Ze[1]}return b}updatePos(a,y,x,b,z){const{ks:ee,tao:re,prune:ae,ksmax:se}=z,fe=a.getAllNodes(),me=fe.length,Ae=[],Le=[];let ke=0,ze=0,je=b;for(let Ze=0;Ze1.5*Ke?1.5*Ke:je);for(let Ze=0;Zelt?lt:st;const wt=st*y[Je][0],Bt=st*y[Je][1];a.mergeNodeData(Je,{x:tt.x+wt,y:tt.y+Bt})}return je}}const Wz={maxIteration:1e3,gravity:10,speed:5,clustering:!1,clusterGravity:10,width:300,height:300,nodeClusterBy:"cluster"},jz=800;class Gz{constructor(a={}){this.options=a,this.id="fruchterman",this.timeInterval=0,this.running=!1,this.options=Object.assign(Object.assign({},Wz),a)}execute(a,y){return(0,_t.mG)(this,void 0,void 0,function*(){return this.genericFruchtermanLayout(!1,a,y)})}assign(a,y){return(0,_t.mG)(this,void 0,void 0,function*(){yield this.genericFruchtermanLayout(!0,a,y)})}stop(){this.timeInterval&&typeof window!="undefined"&&window.clearInterval(this.timeInterval),this.running=!1}tick(a=this.options.maxIteration||1){if(this.lastResult)return this.lastResult;for(let x=0;xthis.lastGraph.mergeNodeData(x.id,{x:x.data.x,y:x.data.y,z:this.options.dimensions===3?x.data.z:void 0})),y}genericFruchtermanLayout(a,y,x){return(0,_t.mG)(this,void 0,void 0,function*(){if(this.running)return;const b=this.formatOptions(x),{dimensions:z,width:ee,height:re,center:ae,clustering:se,nodeClusterBy:fe,maxIteration:me,onTick:Ae}=b,Le=y.getAllNodes(),ke=y.getAllEdges();if(!(Le!=null&&Le.length)){const Je={nodes:[],edges:ke};return this.lastResult=Je,Je}if(Le.length===1){a&&y.mergeNodeData(Le[0].id,{x:ae[0],y:ae[1],z:z===3?ae[2]:void 0});const Je={nodes:[Object.assign(Object.assign({},Le[0]),{data:Object.assign(Object.assign({},Le[0].data),{x:ae[0],y:ae[1],z:z===3?ae[2]:void 0})})],edges:ke};return this.lastResult=Je,Je}const ze=Le.map(Je=>Wc(Je,[ee,re])),je=new Xl({nodes:ze,edges:ke}),Ke={};if(se&&ze.forEach(Je=>{const tt=Je.data[fe];Ke[tt]||(Ke[tt]={name:tt,cx:0,cy:0,count:0})}),this.lastLayoutNodes=ze,this.lastLayoutEdges=ke,this.lastAssign=a,this.lastGraph=je,this.lastOptions=b,this.lastClusterMap=Ke,typeof window=="undefined")return;let Ze=0;return new Promise(Je=>{this.timeInterval=window.setInterval(()=>{if(!this.running){Je({nodes:ze,edges:ke});return}this.runOneStep(je,Ke,b),a&&ze.forEach(({id:tt,data:it})=>y.mergeNodeData(tt,{x:it.x,y:it.y,z:z===3?it.z:void 0})),Ae==null||Ae({nodes:ze,edges:ke}),Ze++,Ze>=me&&(window.clearInterval(this.timeInterval),Je({nodes:ze,edges:ke}))},0),this.running=!0})})}formatOptions(a={}){const y=Object.assign(Object.assign({},this.options),a),{clustering:x,nodeClusterBy:b}=y,{center:z,width:ee,height:re}=y;return y.width=!ee&&typeof window!="undefined"?window.innerWidth:ee,y.height=!re&&typeof window!="undefined"?window.innerHeight:re,y.center=z||[y.width/2,y.height/2],y.clustering=x&&!!b,y}runOneStep(a,y,x){const{dimensions:b,height:z,width:ee,gravity:re,center:ae,speed:se,clustering:fe,nodeClusterBy:me,clusterGravity:Ae}=x,Le=z*ee,ke=Math.sqrt(Le)/10,ze=a.getAllNodes(),je=Le/(ze.length+1),Ke=Math.sqrt(je),Ze={};if(this.applyCalculate(a,Ze,Ke,je),fe){for(const tt in y)y[tt].cx=0,y[tt].cy=0,y[tt].count=0;ze.forEach(tt=>{const{data:it}=tt,st=y[it[me]];ji(it.x)&&(st.cx+=it.x),ji(it.y)&&(st.cy+=it.y),st.count++});for(const tt in y)y[tt].cx/=y[tt].count,y[tt].cy/=y[tt].count;const Je=Ae||re;ze.forEach((tt,it)=>{const{id:st,data:dt}=tt;if(!ji(dt.x)||!ji(dt.y))return;const lt=y[dt[me]],wt=Math.sqrt((dt.x-lt.cx)*(dt.x-lt.cx)+(dt.y-lt.cy)*(dt.y-lt.cy)),Bt=Ke*Je;Ze[st].x-=Bt*(dt.x-lt.cx)/wt,Ze[st].y-=Bt*(dt.y-lt.cy)/wt})}ze.forEach((Je,tt)=>{const{id:it,data:st}=Je;if(!ji(st.x)||!ji(st.y))return;const dt=.01*Ke*re;Ze[it].x-=dt*(st.x-ae[0]),Ze[it].y-=dt*(st.y-ae[1]),b===3&&(Ze[it].z-=dt*(st.z-ae[2]))}),ze.forEach((Je,tt)=>{const{id:it,data:st}=Je;if(ji(st.fx)&&ji(st.fy)){st.x=st.fx,st.y=st.fy,b===3&&(st.z=st.fz);return}if(!ji(st.x)||!ji(st.y))return;const dt=Math.sqrt(Ze[it].x*Ze[it].x+Ze[it].y*Ze[it].y+(b===3?Ze[it].z*Ze[it].z:0));if(dt>0){const lt=Math.min(ke*(se/jz),dt);a.mergeNodeData(it,{x:st.x+Ze[it].x/dt*lt,y:st.y+Ze[it].y/dt*lt,z:b===3?st.z+Ze[it].z/dt*lt:void 0})}})}applyCalculate(a,y,x,b){this.calRepulsive(a,y,b),this.calAttractive(a,y,x)}calRepulsive(a,y,x){const b=a.getAllNodes();b.forEach(({data:z,id:ee},re)=>{y[ee]={x:0,y:0,z:0},b.forEach(({data:ae,id:se},fe)=>{if(re<=fe||!ji(z.x)||!ji(ae.x)||!ji(z.y)||!ji(ae.y))return;let me=z.x-ae.x,Ae=z.y-ae.y,Le=this.options.dimensions===3?z.z-ae.z:0,ke=me*me+Ae*Ae+Le*Le;ke===0&&(ke=1,me=.01,Ae=.01,Le=.01);const ze=x/ke,je=me*ze,Ke=Ae*ze,Ze=Le*ze;y[ee].x+=je,y[ee].y+=Ke,y[se].x-=je,y[se].y-=Ke,this.options.dimensions===3&&(y[ee].z+=Ze,y[se].z-=Ze)})})}calAttractive(a,y,x){a.getAllEdges().forEach(z=>{const{source:ee,target:re}=z;if(!ee||!re||ee===re)return;const{data:ae}=a.getNode(ee),{data:se}=a.getNode(re);if(!ji(se.x)||!ji(ae.x)||!ji(se.y)||!ji(ae.y))return;const fe=se.x-ae.x,me=se.y-ae.y,Ae=this.options.dimensions===3?se.z-ae.z:0,Le=Math.sqrt(fe*fe+me*me+Ae*Ae)/x,ke=fe*Le,ze=me*Le,je=Ae*Le;y[ee].x+=ke,y[ee].y+=ze,y[re].x-=ke,y[re].y-=ze,this.options.dimensions===3&&(y[ee].z+=je,y[re].z-=je)})}}const Hz={begin:[0,0],preventOverlap:!0,preventOverlapPadding:10,condense:!1,rows:void 0,cols:void 0,position:void 0,sortBy:"degree",nodeSize:30,width:300,height:300};class Vz{constructor(a={}){this.options=a,this.id="grid",this.options=Object.assign(Object.assign({},Hz),a)}execute(a,y){return(0,_t.mG)(this,void 0,void 0,function*(){return this.genericGridLayout(!1,a,y)})}assign(a,y){return(0,_t.mG)(this,void 0,void 0,function*(){yield this.genericGridLayout(!0,a,y)})}genericGridLayout(a,y,x){return(0,_t.mG)(this,void 0,void 0,function*(){const b=Object.assign(Object.assign({},this.options),x),{begin:z=[0,0],condense:ee,preventOverlapPadding:re,preventOverlap:ae,rows:se,cols:fe,nodeSpacing:me,nodeSize:Ae,width:Le,height:ke,position:ze}=b;let{sortBy:je}=b;const Ke=y.getAllNodes(),Ze=y.getAllEdges(),Je=Ke==null?void 0:Ke.length;if(!Je||Je===1)return Pg(y,a,z);const tt=Ke.map(wn=>Wc(wn));je!=="id"&&(!Ws(je)||tt[0].data[je]===void 0)&&(je="degree"),je==="degree"?tt.sort((wn,Jn)=>y.getDegree(Jn.id,"both")-y.getDegree(wn.id,"both")):je==="id"?tt.sort((wn,Jn)=>ji(Jn.id)&&ji(wn.id)?Jn.id-wn.id:`${wn.id}`.localeCompare(`${Jn.id}`)):tt.sort((wn,Jn)=>Jn.data[je]-wn.data[je]);const it=!Le&&typeof window!="undefined"?window.innerWidth:Le,st=!ke&&typeof 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E.width*((z.y-E.y+(re.y-E.y))*.5)re.y?Al(E.x-a,E.y-a):Al(E.x2+a,E.y-a):z.yee.x?Al(E.x-a,E.y-a):Al(E.x-a,E.y2+a):b.xre.y?Al(E.x2+a,E.y2+a):Al(E.x-a,E.y2+a):z.yee.x?Al(E.x2+a,E.y2+a):Al(E.x2+a,E.y-a):b.xx)return!1}return!0}function RU(E=0){return a=>{if(E<0||a.length<3)return a;const y=[];let x=0;const b=E*E;for(;x{if(ee.length<3)return ee;const re=[],ae=ee.closed,se=ee.length+3-1+(ae?0:2);re.push(z(ee,2-(ae?0:2),0));for(let fe=2-(ae?0:2);fe{let y=E,x=a.length;if(y>1)for(x=Math.floor(a.length/y);x<3&&y>1;)y-=1,x=Math.floor(a.length/y);const b=[];for(let z=0,ee=0;ee=x?this.closed?this.get(a-x):this.points[x-1]:this.points[y]}get length(){return this.points.length}toString(a=1/0){const y=this.points;if(y.length===0)return"";const x=typeof a=="function"?a:AU(a);let b="M";for(const z of y)b+=`${x(z.x)},${x(z.y)} L`;return b=b.slice(0,-1),this.closed&&(b+=" Z"),b}draw(a){const y=this.points;if(y.length!==0){a.beginPath(),a.moveTo(y[0].x,y[0].y);for(const x of 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y<0?!1:(this.edges.splice(y,1),this.dirty.add(kd.NON_MEMBERS),!0)}pushNonMember(...a){if(a.length!==0){this.dirty.add(kd.NON_MEMBERS);for(const y of a)this.nonMembers.push({raw:y,obj:Fv(y)?Ty.from(y):Vu.from(y),area:null})}}pushEdge(...a){if(a.length!==0){this.dirty.add(kd.EDGES);for(const y of a)this.edges.push({raw:y,obj:Su.from(y),area:null})}}update(){const a=this.dirty.has(kd.MEMBERS),y=this.dirty.has(kd.NON_MEMBERS);let x=this.dirty.has(kd.EDGES);this.dirty.clear();const b=this.members.map(se=>se.obj);if(this.o.virtualEdges&&(a||y)){const se=this.nonMembers.map(Ae=>Ae.obj),fe=MU(b,se,this.o.maxRoutingIterations,this.o.morphBuffer),me=new Map(this.virtualEdges.map(Ae=>[Ae.obj.toString(),Ae.area]));this.virtualEdges=fe.map(Ae=>{var Le;return{raw:Ae,obj:Ae,area:(Le=me.get(Ae.toString()))!==null&&Le!==void 0?Le:null}}),x=!0}let z=!1;if(a||x){const se=this.virtualEdges.concat(this.edges).map(Le=>Le.obj),fe=jU(b,se),me=Math.max(this.o.edgeR1,this.o.nodeR1)+this.o.morphBuffer,Ae=Vu.from(AM(fe,me));Ae.equals(this.activeRegion)||(z=!0,this.activeRegion=Ae)}if(z){const se=Math.ceil(this.activeRegion.width/this.o.pixelGroup),fe=Math.ceil(this.activeRegion.height/this.o.pixelGroup);this.activeRegion.x!==this.potentialArea.pixelX||this.activeRegion.y!==this.potentialArea.pixelY?(this.potentialArea=Mg.fromPixelRegion(this.activeRegion,this.o.pixelGroup),this.members.forEach(me=>me.area=null),this.nonMembers.forEach(me=>me.area=null),this.edges.forEach(me=>me.area=null),this.virtualEdges.forEach(me=>me.area=null)):(se!==this.potentialArea.width||fe!==this.potentialArea.height)&&(this.potentialArea=Mg.fromPixelRegion(this.activeRegion,this.o.pixelGroup))}const ee=new Map,re=se=>{if(se.area){const fe=`${se.obj.width}x${se.obj.height}x${se.obj instanceof Vu?"R":"C"}`;ee.set(fe,se.area)}},ae=se=>{if(se.area)return;const 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",dn="data:image/png;base64,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",Lt="data:image/png;base64,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",Et="data:image/png;base64,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",Pt="data:image/png;base64,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",qt="data:image/png;base64,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",Un="data:image/png;base64,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",sr="data:image/png;base64,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",tr="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAdIAAAJ4CAYAAADRD2IjAAAAAXNSR0IArs4c6QAAIABJREFUeF7s3Qd8VGXWP/Dz3JlMKiQkhBRKCL2JoOiLCJlEseu67lpIAuxMYFnrqmuBtQYRKwo2VITMLJAMK9Zd3XVtyQRFdFV6CQkEQkJN75nM3Of/Hyxrgdw7/d6ZH5/P+8pyn3LO9wweZ3Lnucxgzf6a8AsCyhFwEPFu4qybMeomcv7fd/+bBOomTt2c2Hd/znm3ILDv/+y7/02C0E0O3s0E1sFJbGWMWokLLZxYq4Y5WkXGWnWCplUMj2xdMWlFu3LSRiQQgIBaBRgaqVpLh7g9FWDERCLeSkStxKiVi9QqCKyFE29lRK2ig7cwjaZWw1gtF1itxsHrUhO66vLHrrd5ujfmQwACwSOARho8tUQmfhJgRM3EqY4zVsuI13GRahlRraDV1Dr/TKfR1NocQl3B1IIWP4WEbSAAgQAKoJEGEB9bB7cAI3K+cz3BiKo5E6oZ5zWceLVWCKvubOc1ay5Z0xbcAsgOAqEhgEYaGnVGlooUYI2MeDU5G63Iq5lWU60VeDUL59UrJllqFRkygoIABH4lgEaKFwUEFCnAOgVGh7lI1cRpPydewUWxPF0YfTA/K9+uyJARFARCVACNNEQLj7TVKcCI7JxTJWOsghGVE+flXIioMGWYTqgzI0QNAfULoJGqv4bIAALEiJqIWAURlQuMV5BDW9E7vO++pVOWdoAHAhDwrQAaqW99sToEAibAOHFivIaI7SAStmtI2DZAHFqOj4YDVhJsHKQCaKRBWlikBYFTC7BOxvluEthWIr5d0EZtXzVlVT20IAAB9wXQSN23w0wIBIUAI+a8c3i7INA23i1sa6ntqlh//XpHUCSHJCDgBwE0Uj8gYwsIqEuAdzJiOxgJ2zmxzWmDtN/mp5s71ZUDooWA/wTQSP1njZ0goE6Bk+ce862MsU1aLd/06nlFZYwxrs5kEDUEvC+ARup9U6wIgSAXYI2M868Y02wSuh1frpxuORbkCSM9CPQogEaKFwgEIOCpwAEmsk1MyzfFapK/wVduPOXEfLUJoJGqrWKIFwIKFnAeGEHEtnISvxQc2s8LLlhbpuBwERoEvCKARuoVRiwCAQicSuDkHcGcPhW45tOVmat34mereJ0EowAaaTBWFTlBQIECjOgYiaxYEMRPBmaM2prP8kUFhomQIOCyABqpy2SYAAEIeCrAiOqJCcXEHJ+m2Ud9g9OWPBXF/EAKoJEGUh97QwACznOCmzlxqyCwTwbF27/KH7ve+RxX/IKAagTQSFVTKgQKgVAQYG2M+AYuCu8Nzhz+FT7+DYWaqz9HNFL11xAZQCBYBY4KTHhPcNB7K7MKnccY4hcEFCmARqrIsiAoCEDgpwKM2DcCE/8xcGDEJziuEK8NpQmgkSqtIogHAhA4rQAjaifiH2oY+8fKDMs2UEFACQJopEqoAmKAAATcETjAiP4ZJtL7K7Iste4sgDkQ8IYAGqk3FLEGBCAQMAFGTCTiG7nI3xmcOaoUNygFrBQhuzEaaciWHolDIPgEGFGNwJjF1qH555pL1rQFX4bISIkCaKRKrApiggAEPBJgRK2M0Tta0vx9RcbaIx4thskQkBBAI8VLBAIQCFoB58e+jOhTkVihWV+4PWgTRWIBFUAjDSg/NocABPwlwIh2cE6Fbcftn66/fr3DX/tin+AXQCMN/hojQwhA4OcCRxkT1kUmxL6zfOzyVuBAwFMBNFJPBTEfAhBQpQDj1EGMvavp5mtWTrccU2USCFoRAmikiigDgoAABAImwFm3IPC3tFFkWjEJ30cNWB1UvDEaqYqLh9AhAAHvCTCiLmLsDUEb+bdVU1bVe29lrBTsAmikwV5h5AcBCLgowDsZF17nXLfanGVudHEyhoegABppCBYdKUMAAtICznN9Oad1vSKEtS9MLmyWnoERoSqARhqqlUfeEICALIGThzsQK4roG1eEu3xlkYXcIDTSkCs5EoYABNwS4NQiMLZWGx1jWTFpRbtba2BSUAqgkQZlWZEUBCDgOwHm/Lnp8sEZI97BAfm+U1bTymikaqoWYoUABBQjwBjtFTh/epV+3WbFBIVAAiKARhoQdmwKAQgEiwDj9CHn4c+bs8xHgyUn5OGaABqpa14YDQEIQOAUAqyTMW6Oae275oXLX+gCUWgJoJGGVr2RLQQg4EMBxtkRQWDLVmUUfuLDbbC0wgTQSBVWEIQDAQioX4ARfS2EaZasmrK2Qv3ZIAMpATRSKSFc97uAhgkkkNb5/5lGIxBz/pOcfyYwJjh/xxiRwLSa7/5MoJNXmXOcoHH+nli7vd1xtPMwPmLze/Ww4Q8CzmehcqI3dbaYV1ZctKIJMsErwOqb2rgzvU6x3X6kvaZtY5219puGTT49FmtQ1OCIS5KvTkmNGBgdF95Hxzln/iZGvr4TV0J9ndl1OTrt3zZ+WftO9d8Pd3Pbydc5fkHA3wKMqJlE4VlTVuF7/t4b+/lH4MdG+tPtNjd8dWLNwRVVvghhauIF8b/tf0OaQBrBF+u7sybydUft1HOUWN+jnTVtS8sWlXVzu0+aaRjTsmmJ0xNSIgZGxYT10rbbW+0N3fW2xu56W72tzlbfdaK7rqvWhmbuvdeZGldixD4P12oWv3L+muNqjB8xn17glI3UOfyNmrWVG0+UePUJCCmRqeF3jnhwjJaFKaaJ/kCDfD3/a6Lk+m448fHht2vWHfE8y5+vkBY9JNKQdtPQWF2f8J7WZozxVnurvaW70dbU3WRrtjfYGmz1toauuu76rhO2+u4TtgZbQ7dIPun13k4b67kp4DxukBhbasooetfNJTBNgQKnbaQnuo51PL77/l3ejDl7kHHgOfHn9/Pmmt5aC/l6Lqnk+jbbm235O/6y3fMs/7dCL02s9u5RD43qFRbbYxOVu6dIIm90vn/tOt5xvPNw5/GuIx3VHYc6j3RUd9pEfDQt11Ed49gmEnWP4run6qiWVJSnbaScOL9v621buninKLWI3Ot3jXp4ZP+IgTFyx/tzHPL1XFvJ9XVm99DOO7e0drc4PM/0uxWuSPl98oVJl/X31nqnW8f52mzqbug60XnsZHM90nW480hHTcfh9qrOLrELb2F9XQCfrc/aBM6WFWQWvu2zLbCwXwTQSL9nRiP1/PWm5EYqkij+devNW7z5c9K/jHxo5IDIQYH7D0NGvLHL+VPYEx3Hug53fN3wZcOB1ooOzyuJFfwpwDj7KkwQFq3IWOv1Hz34M49Q3uu0jbS263jHY7vv8+5HuwPzBp6TMEWRH+0iX8//GmQruL6HOw+1LtmzsMzzLP+3wr2jHhmVHJEa7c01PV3rQPu+5pX7nt/f7mjz2jtvT2PCfGkBxqmDBOG5gmlr33T+PF16BkYoSeC0jfTN6sLKz2uLvXuzUUT/8DtHOm820iruZiPk6/nLMkWp9WXEV+xbtndP845Wz7P83wp/GvqXISN7jenjzTW9sdaRjpq2Z/cu3OPgXvupjDfCwhoyBJwHOTjsYYtWX7i6RsZwDFGIwCkb6ZaG/55YffBVn3z9JSNxesJv+l8/SCBBMc0U+Xrv1ai0+tq5XfzgyDvVnx7/4IT3svxupXGxE3rlpd86wtvremO91w/9bf+mug0N3lgLa/hXwPnuVNBoFq+atvYD/+6M3dwV+LGROr+8frizpv3LOuuJr+o3+vZAhsj0yEtSfpMyIHJQlLfueHQVAPm6KiZ//CAP6uv8WEvkzi+BiCf/KXLOibjzdyQ6/8kdxJ1/xp2/F4mz7/958ppzhPOiyFvtLfajnTXtG2utdUc6a3x2wpEh/aa08bFn95Wv45+R5S27G1/e98w+/+yGXXwhwIi/E9OW+DQOwfeFrnfXxBGB3vXEaiEocHnKNUmT+2YkxWh6hSkl/cq2fc0vlD9erpR4EId7AoxYhWCn+asuLDro3gqY5Q8BNFJ/KGOPkBBIjxkemRqRGtFHl6CL1fbRxer66Hpr43S9dbG6CCFS60+EXc3b6lfuf77Sn3tiL98I4KNe37h6c1U0Um9qYi0InEYgnEUIfSMSwxLCE3V9whJ0fcLidbHhzkbbRxcbFqvrHRar8+aJX+YDy/dua/y2xRcF0ZKGDYhJj2jrbrLX2+q6cVOTL5R/vSYjejumre8SfNTrH29XdkEjdUULYyHgQ4HE8CRd/4hBESmR/SOTIlMi+oYnRfbV9YvQCTqNK9vuad7RsGL/sv2uzJEzNlwIZ9cOmD3wjLgJ8Toh/GRMNrHLsadlR8M39V/W72za3IIjDuVIejCGU7nGwRbgo14PDH0wFY3UB6hYEgLeFEgMTwxLjRwUmRzRPyIpIjmyX0RKRIKuX2T4983sh70c3CFubviq9u+HTIe8/S7R2UTvGPHAqKSIlKjT5dbqaOne1bS1/su6z+sr28rbvWmAtf4n4Pyol3NabM6y4K5ehbww0EgVUgiEAQFXBRJ08WGpkYMjIjURGmfjLG/Z1dJsb/bJQQxX9b8uOSvxEtnHIdbbaju3Nn1T91X9Z/XHOo7YXM0N46UF8FGvtJG/RqCR+ksa+0BAxQKLznhufLQm2q27kp2nSm1u+G/9f+s2NjTbG+0qZlBe6JzKBS2/q2DqusPKCy50IkIjDZ1aI1MIuCWgE3TsifHLz3Jr8k8mOb/8u791b/O3jV/Vb274srHT4b0HYngam5rnM04NGoHuWplh2abmPNQcOxqpmquH2CHgBwHnHceLz3zuTIE0XjuNzM7tjh2Nm+tLTvzneFX7gU4/pBHUWzAiGzG20JRR9J+gTlShyaGRKrQwCAsCShK4bfj84enRw3v7Iibn4RGfnfjk2ObGr5p9sX4orSkw4dWCjMLXQilnJeSKRqqEKiAGCChcYGTM6Og/DrtzpEAC81WoDba6zs9rS45vrCuuw8e+7iszog/S+tofyR+7Hjd5uc/o0kw0Upe4MBgCoStwft8L4q9KvXaQq99rdVXMJnbZv2nYVPvpsf+cqLMdRzNwFZCIGNHW2N7hdy2baPbpueluhBaUU9BIg7KsSAoCvhGI08ZpL0q5Onl83MT4aE2MW3fxyo3MeXPSnuYdjaXHPzxW1rq7Te48jPtOgBHVaEh7x0r9GhwV6eMXBRqpj4GxPASCUUDDBBrbe0Lvs+PPix/Za2ycr9+lHu2sadtQ++nx/9Z+1mAnBx58LfNFxYhaSeDzTdPWfSlzCoa5IYBG6gYapkAAAv8TcJ56NLHPuXFn95kcnx4zPNaXP0dtdbTa3q22VH3T8GUTaiBbwEHEnjTri96SPQMDXRJAI3WJC4MhAIGeBHpre2vOSTi/z5lxkxIGRg2O5pz75OakT479q/r9I28dQzVcEWBrzPqi51yZgbHyBNBI5TlhFAQg4KKA8xD+c+Onxp8Zd3Z83/B+kS5O73G485Hvz5Y9svNwR7XPHtruzXiVspbzWMG0jJGP57N8USkxBUMcaKTBUEXkAAGFC6RFD4k8L0GfMCFuUt8fnhzjachf1G04tv7Q36o9XSfk5nP2r7bj3QvXX7/eJ+cyh5yn88YugzX761BMHDlDAAL+F4jSRgnnJ1zQ97wEfWKcrk+EJxHsay1rfKni6X2erBGyczl9Olg/8r58lo+zj73wIkAj9QIiloAABFwTEIjRxD7nxk5NnN4vLSrdrROTdjVvq1+5/3l8tcM1+h9HM2KfxbQlzMeDwt0E/Mk0NFLPDbECBCDggYDzY9/Mfhf3OyN2Yrwr5/n+8/DrB4uPf1jrwdYhP5URfR0Xlnzn0ilLO0IewwMANFIP8DAVAhDwnkBvbZw2s9/FieckTEmUOuyhtut4xzN7HtnTxfEEGU8r4DwFKVK03748a32rp2uF6nw00lCtPPKGgEIFwpiWnZuQ0Wdq38ykpIjUqF+G2dhd37lq/wsVNR2HcMeu92q4R2frdcuKi1bg+7lumKKRuoGGKRCAgH8ERsSMjh4be2bsgKi06DZHW/fBtv1tpcc/rO3mdpxu5OUSMGIVjm7tLaunr67z8tJBvxwaadCXGAlCAAIQkCfAiKo03XTTyukWHHYhj+zkKDRSF7AwFAIQgECwCzgPuw+LpjkrJllwI5fMYqORyoTCMAhAAAKhIuD8mDcmnM17YXIhHrYuo+hopDKQMAQCEIBAyAlwtn1wmu6m/HRzZ8jl7mLCaKQugmE4BCAAgdARYJsGZ4y4Aycg9VxxNNLQ+RuBTCEAgVMIaEnDLkq+qt/Z8ZP7xof3DXeIDl7esrup5PgHx/a27sEDxYk+Gpwx8n4cdH/6vz5opPhXCwQgELICOkHH5g7589BhMaNif4nAGONf1FmPvVVVeDjUHybOmPCmKaPw8ZB9oUgkjkaKVwYEIBCyAtf0n5E6LXF6Sk8ARzsPt605+ErlkY7DoX0ABKcCc6Zleci+WHpIHI0UrwoIQCAkBcKYji08Y8n4CCFKKwVgE22Ofx5eX/V5bXG91Nhgvi4QW1qgLyoM5hzdyQ2N1B01zIEABFQv0C88Wbdg9KNnuJLIjubNdZaDBVUdjo6QfTA2E4R807TC91xxC/axaKTBXmHkBwEInFIgKTJFN3/kIpcaqXMh51m/5v0v76/qqAzJJ6YwYiIXxXvNWetK8NL6TgCNFK8ECEAgZAXyxy4Z1zssLtxVADvvFt+qLjqwqW5Dg6tzg2E8I7Jptezm184v2hIM+XiaAxqpp4KYDwEIqFbgkuTf9Lsk+TcD3U3gi7oNx96qXlPt4KH4SS9rjIrUzVx+rvmou37BMg+NNFgqiTwgAAG3BGamzR14Vp/J/dyaTEQH2/c3F+x7qbLF0WR3dw21zmOM9qYNDM8L9dOP0EjV+gpG3BCAgNcELk/5XfKFSZelMmLMnUVbupu6zAde2V/ZVt7uznw1z2GMPimYVrTA+b1bNefhSexopJ7oYS4EIBA0AqN7j4/JTjMOidH0CnMnKQd3iG8cWnPgy/rPQu7npgITXi3IKHzNHbdgmINGGgxVRA4QgIBXBPro4rWzB9+UnhaV3tudBZ3vyj4++n7N+0feCrnneQqc3VOQWVTsjpva56CRqr2CiB8CEPCqgIYJ9JvU61Mz+l2UzDl366PezQ1fnSiqWlkVWjch8U4iwWjWF5V7tSAqWAyNVAVFQogQgID/BSbEnd37+kGG9AghUvLko1NFt799b1PB/hf3t9vbQ+aWXsbZkdhY3axlE82N/q9Y4HZEIw2cPXaGAAQULpAYnhj2h/Sbh6RGDIxxJ9TarmPtr+5bWlFnq+12Z74q53D6drB+5M2h9Og1NFJVvlIRNAQg4C8B52PWrh00q/+58VOT3Nmzxd5sW1GxtLym81DIPCA71J4W49bn/+68mDAHAlIC+TxfqPt3XZgj8mhYO0Vrdb26tNSuCSPGwrpstjANC9MyxsIEnUPb3c3CnL8n5ghjohDFBYrmDh4jCCyaczGaMRbFicdwYtHEKZoxiibiJ3/PGUVKxYLrEPilwLnxU+KuGZA7OFwI17iq0ym2d7+2/4XyytbykDlWkDHhCVNG4RuuWqlxPBqpGquGmD0SyC/O1x7uVRbHO8Liu+2OeBJ4PGMsnkTnPyle5DyeGMUzYvFEPJ4TufUzMo+CxGRFCiRHpIYbBt88pF9EcpSrAXaJXY6/VS4v39OyM1QeFu7QMvrjygzLNlet1DYejVRtFUO8fhfI+yyvFxNsSdQtpjpEShU0PFkUKZUYpTKiFE70q4dC+z1IbOg3gQhNhDA3/fYhQ2KGu1x35xm9aw+8tm9b07fNfgs4gBs5bz6KTIzLXj52eWsAw/D51mikPifGBsEuMO/reVFdTU0pGp2QQiKlOpssE9hgIp5OnFI5I/w9C7IXgfPnprOH3JQ2rveEBFdTE0kU11WZKr+u/yJU7mz9yKy3/NVVJzWNx19wNVULsapOwFBsiCDqGiwwIV0kMZ0xGkLE0jnxAUTk8s/aVAcQ5AFfP2h2/8nxGcmupsmJ879XmfZ/Vb8xJJqpQJpHCvRr/+Gqk1rGo5GqpVKIM6gE5n09L6yrqWmQRqdJJ5GNJBLHcKLRnMitE3WCCkdlyVyacrXzCTIDXD28wSZ22p/e89CuOlt9CHw1hndq7ELuqguLDqqsvLLCRSOVxYRBEPCPwNxNuQPELhpDTBzDRRpLRKNwl7F/7D3ZZUpiZvzv+ucMFkhw6d+pX9RZj64/tKbGk73VM5ft0UXHGFdMWhF0/+HgUtHVUzBECoHgEHB+Jajqs72DObEx5Dj5rnUiMRoeHNkFVxbjY8/qnTv4j0PCWJjsj+wPtVe2LN27eG9wSfSQDacic6bl2WDLF4002CqKfIJeYN5H82LtYa1ncUZnE9EkTnxY0CetkgSHxgyPmjPktmERQpSsJ8jUdB5qfWbPwjKVpOeVMBlp/mzSr93olcUUsggaqUIKgTAg4K6AodgQx4Sus4jTJGJ0Nica6u5amOe5QEpE//B5Q+4cHquLC5da7duGTcfXHlx5SGpcMF1nnBoc9rAZq6evrguWvNBIg6WSyAMC3wvctCGnTyenc4nzaZzT+cSoF3D8K9BHl6C9aehfhvcNTzrtwQ0iOcSlex7dHUpHB/6vCmyTKaPwtmB5GDgaqX//fmE3CPhVwHmKUxXtmcA1wjQu8gxiNNCvAYTwZlHaaCFv8K2nPLjB+fWX9w+/dejT4/8+EapEjAnLTBmFa4MhfzTSYKgicoCATIEbvzAMttlsGSJRBiMaz4kLMqdimJsCmf0uTpiSoO8XH54YaRft4pHO6rZ/1bx5uLytLFSOCjylHCOyc5EM5izLHjdpFTMNjVQxpUAgEPCvwMmfrWpseuL8MuJ0Nk5g8q2/8zQkOzm4b3dR1+qMWFmaOOIP+Vn5dnVF/vNo0UjVXD3EDgEvCdz4+ax+3aLjEoeDX46v13gJFcvIEmBEL5j0lr/JGqzQQWikCi0MwoJAoAT+8MkNQwVBcxkX+KVE5PLxd4GKG/uqU4ARdWnChRtWTi6sVmcGhMO01Vo4xA0BXws4j7ybW5o9QSS6ghNdSsQifL0n1g9VAfZfs77oJrVmj3ekaq0c4oaAHwVu3nlzTFdd45UOzq8losF+3BpbhYoAp4XmTMs/1ZguGqkaq4aYIRBAgTmlOeeKnF9PxDJw128ACxFkWzOiZiEs6tpVU1bVqy01NFK1VQzxQkAhAnM/zk5y6NjviPNrOFG8QsJCGCoWYJw+NGVa7lNbCmikaqsY4oWAwgTyeb62ylp+EQncKHI+RGHhIRyVCQgi3VGQZflMTWGjkaqpWogVAgoWcN6cNMeamykyPsf5+DcFh4rQlC1wVBfd6/oVk1a0KzvM/0WHRqqWSiFOCKhIwGidOYXIMYcTnamisBGqQgSYyNaZsoqWKCQcyTDQSCWJMAACEHBXIK94xiTOhDzO+LnuroF5oSfAnHexca1xVdaaHWrIHo1UDVVCjBBQucCcz2eNE+32WznRJJWngvD9JMCIVbQe685df/16h5+2dHsbNFK36TARAhBwVcBQMnMaMcft+C6qq3I/H58UmawLp0hNc3dDd6O9UdXn1PYkITB6vCDD8qZnWr6fjUbqe2PsAAEI/ETA+Wi3g5ry33LObyTiccCRLzAh9pzeF6dcmZoc0T/aOcv5OLbK1ormN2vWHDrScbhL/krqGMmI6u2d2mvWXLJG0U/KQSNVx+sJUUIg6ARuLr4upkMTZiDOcziRLugS9HJCk+LPi80elDeUEfvVv7fbxfbu1/YtKz/Ytr/Dy9sGfDmBBFOBvvClgAfSQwBopEquDmKDQAgI3PyVIbmjo8v581PnIfn4dQqBKE20Jn/ckvFaFnba58c22ho6n9z94O4u3ikGE6LzUHsuhv/enGU+qtS80EiVWhnEBYEQE5i7Iedsu4M/QIwGhljqkuk6Hw7+m9TrJc84/m/dxuOWQwWHJBdU2QBG9IFJb3lAqWGjkSq1MogLAiEocNu/bgtvjaz7Ixf4LCLShCDBKVO+duDM/lMSMiUfaccY46/tf37vrqatrcFmx5gw25RRuEuJeaGRKrEqiAkCIS5gsOYMJ04PEuNjQpziZPpX978hRZ94UaociyZbY9dTZQ/u6nB0BNVHvERsi1lfNFeOgb/HoJH6Wxz7QQACsgTyeb5woLR8BpHj5lB/FuqQmGFRtw5bMFoWHBF9U//licKq16rkjlfLOIGzewoyi4qVFi8aqdIqgnggAIGfCcwrnZli4+L9RHxyKNPcNvyvw9Ojh/aWY+D8iLdg/0vl25u+bZEzXi1jGPHqtIxR1+azfEV9dxaNVC2vIMQJgRAWcB6In7dhZi5x0Xl3rzYUKVIi+offOfLBMVqmPe2duz91abY32Z7a89DOdntbkH3EKzxr1hcWKek1gEaqpGogFghAoEcBY2nuGOL8MU58QChSXZx0Vb9LU66WfVfzlsavalcfWHEwmKycDwCPCRd++8Lkwmal5IVGqpRKIA4IQECWwKz/zIrWRtj/GqrfO/3LyAdHDIhM6yULi4hWH3i5fEvjN4ppOnLj7nEcpyJzpuVZr6zlhUXQSL2AiCUgAAH/Cxg35F7JRceCULsRKSkyRXfXiIedH/HK+npQq6PF9uTuB3e12VsVf/i77FcRZ91MCP+NKcN0QvYcHw5EI/UhLpaGAAR8KzDnk5w0MYw/zjmN8O1Oylr9gn6XJV6Z+vtBcqPa1vRNnbny5QNyx6thnJKeWYpGqoZXDGKEAAROK2AoNkSQ0PUwEV0USky3j7h/eFpUuqy7eJ0uaw+uqPi24aumYDFyHh0ohEVdtWrKqvpA54RGGugKYH8IQMBjAeddvXNKc/8oEp/n8WIqWSAxPEl318iHx+gEndyPeLuf2H3/jnZ7exDdxcvWmPVFzwW6ZGikga4A9ocABLwmYCjJvuj/PxslnxOFe21RBS90Qb+L+16Zen2a3BA31pUcfePQ2hq545U+jnHq4Dz8KnOWuTGQsaKRBlIfe0OrvzJpAAAgAElEQVQAAl4X+O4rMuKznKiv1xdX4IK3DZ8/PD16uKyPeEVyiE+XPbzzWMdRmwJTcS8kTgXmTMty9yZ7ZxYaqXccsQoEIKAgAWOpMZHzzqVENEpBYfkklL7hiWF3jcwfGy6Ey/qIt6xlV8Or+57d75NgArAoI2plmsirCqYWBOwUJzTSABQeW0IAAr4XcN6EJGhsi0XO9b7fLbA7ZCROT/ht/xmSj1n7IcrX9i8r2928I2ieECMw4dWCjMLXAlUFNNJAyWNfCEDA5wL5xfnaKs3ehSLnl/h8swBvcOuIe4cNiRoRKyeMY51H2p/e89Bukbic4Yof4zztyN6pvWrNJWvaAhEsGmkg1LEnBCDgNwHnU2QOlu69jxP/rd82DcBGKZGp4XeNzB8jkCDrLN53a/5+wHrio7oAhOqbLUX2ojmryOybxXteFY00EOrYEwIQ8KvAyUPvS3Lv4gKf4deN/bzZdQP/MOC8hGlJcrZtc7R2P7brrzuC57mlrHHwIN2V+enmTjn5e3MMGqk3NbEWBCCgaAFDSfbNxChP0UF6EFyUJlrzwNjHx0YIUWFyltlYV3zkjUOFh+WMVcMYgdjSAn1Rob9jRSP1tzj2gwAEAipgKM4xkMBvDWgQPtz8wqTL+l6R8ntZ3y11cIf49J6Hdx7vCo6vwzBitTFtCVe/cPkLXT4k/tXSaKT+1MZeEICAIgSMpbkzORfvUEQwXg5CwwSaP+rRMX3D+0XKWXp38/aG1/Y/FzRfhxFI80iBfu0/5OTurTFopN6SxDoQgICqBPKsubeIJBpVFbTMYM+IPauXMf1m2Qf5v1qxtKysdWeQfB2G7THri2bKpPLKMDRSrzBiEQhAQI0CRuuMBzixoLyb95Zh9wwdGjMyTk5djnYebntqz0N75IxVwxgto7yVGZZt/ooVjdRf0tgHAhBQnIDzqzEHrGVPEKMLFBechwGlRg4I/8vIh8YKJMj69/zb1ZYDG2o/CYqvwzCiD0x6ywMeEsqeLgtY9moYCAEIQEBlAvk7r9MdqA17joifo7LQJcOdMcg44Nz482V9HeZwZ3Xbkj35QfGulBHZHd1hV6yevtov/2GARir5UsQACEAg2AXmfT0vqru15VXOaHQw5RqtjdHcP+bxcRFCpFYyL0Y8f/tftjbbmx2SY1UwgDF6xZRhWemPUNFI/aGMPSAAAcUL3LHZENfY1GUiRgMVH6wLAV6YdHniFSm/GyRnyqJd925tsNXb5YxV+hhGVJsmjrwyPyvf5/mgkSr91YD4IAABvwnMtc5Kd5D9b5woym+b+ngj59dhFoxePCZBl9jj12HsvFu8d+tNm30cjl+XFwS2oGBa0ce+3hSN1NfCWB8CEFCVgKF4RiYJbImqgpYIdlzshF5zhtw23HlU4umGflFnPbr+0Jqgeej3d3myLWZ90Vxf1xKN1NfCWB8CEFCdQJ41Z55IfJ7qAu8h4CtTr02+oN+l/U81pLbrWPtz5U/sbbO3BMXPR3+eI8s264vKfVlLNFJf6mJtCEBAlQLOd25zNuQuCbZnmU5NvCB+etIV/XtrY3XOwtjELseu5q0Nrx9afajT0SmqslgSQTPi75j06x71ZW5opL7UxdoQgIBqBWb9Z1a0JsL+NyKS/cBsNSQrEKM+uj5hMWFx2pq2g512cgTHQ0lPi886BU3EZQVTC1p8VR80Ul/JYl0IQED1AvM2zBrULdpXc6IY1ScTwgkwkZaZsixrfUWARuorWawLAQgEhcAca06Gg/izQZFMqCbB6ZA503KNr9JHI/WVLNaFAASCRsBYmvtXzsXfB01CIZiIL8/fRSMNwRcUUoYABFwTyK80RBysshVy4rKe8+na6hjtFwGR3jBnWZ7wxV5opL5QxZoQgEDQCRhLc8cQFws4kfRxe0GXvfoTYkRNaRkjL8ln3j/pCI1U/a8PZAABCPhJwGCdkUfEbvbTdtjGywKM0V2mDIvVy8sSGqm3RbEeBCAQtAInH7tWuncFEZ8QtEkGcWKM0SemDMt8b6eIRuptUawHAQgEtUDeZzNSRYdgIeLRQZ1oMCbHWXdUYtxFy8cub/Vmemik3tTEWhCAQEgIGEqyryJGD4dEskGWpIbRo6syLO94My00Um9qYi0IQCBkBIzWnFc58bNDJuEgSZRx2mzKtPzRm+mgkXpTE2tBAAIhI/D9I9csuItXfSXXMc1VKzLWHvFW5Gik3pLEOhCAQMgJ5FlzbxFJNIZc4qpPmC8369cVeCsNNFJvSWIdCEAg5AQMxYYIJnS9zolSQy55dSd8wKy3XOutFNBIvSWJdSAAgZAUyCvOnioKtCwkk1dx0lrSzlqpX7PbGymgkXpDEWtAAAIhLWC05jzNiWeFNILKkmciW2fKKlrijbDRSL2hiDUgAIGQFpj7cXaSQ0tvcEaRIQ2hquRZnSmj8FLGmMfPY0UjVVXhESwEIKBUgWA+PjBKE61JjEjSHe2o6ewSuzxuPMqpoWA06wu3exoPGqmngpgPAQhA4P8LfP+EmHc48b7BAjIyZnT0NQNyB/WLSI5y5iSSKFa2ljevqzJV1dlqu9WeJ2PMbMooetHTPNBIPRXEfAhAAALfCxiLZ1zLBbYgGEDOjZ8Sl502Zwjn/Fd9osvRaX++/PE9RzprutScK+NUacq0XOdpDmikngpiPgQgAIHvBfKL87UHWNl6YjRQzShx2jjtgjGPjtUJEad9ZNzB9v3Nz+19rFzNeTpj14YLv105ubDakzzQSD3Rw1wIQAACvxAwlGRfRIweVzPM1MQL4n/XPyddKodXKp7Zs7d1d5vUOCVfZyItM2VZ1noSIxqpJ3qYCwEIQOAXAs6PQo2lOWuIaJRacbIH5g08J2FKP6n4/9vw+THLQZNH7+ak9vD5dU7fmjMt8zzZB43UEz3MhQAEIHAKAeOGGf/HRfaSWnEuT/ld8vSky/tLxd/qaLXlb79zu0jqvZGXERPDbDEXrbhoRZNUvqe7jkbqrhzmQQACEOhBwFiSs5wzfq4akSbGndt71uB5w+XE/tr+ZWW7m3d49fmecvb15hgN4w+vylj3vrtropG6K4d5EIAABHoQMFhzzyASTWpECmM6tuiMpWfqhHCNVPzfNmw6vvbgykNS45R8nTH6xJRhme9ujGik7sphHgQgAAEJAWNJ9muc0UQ1QuUNuWXwuN4TE6Ribxfbux/efsc2Bxelhir2OuPUkZZovzB/7HqbO0GikbqjhjkQgAAEZAjkbcieKorqPNB+Quy5sbPT5w2TkSYVVL64d0fTlhY5Y5U6hpHmzyb92o3uxIdG6o4a5kAAAhCQIeC8g3fOhty/i5wPkTFcUUO0pGGPjn9ufE/fJf0h4C0N/z2x+uCrVYpKwMVgBKI3CvSWJ1ycdnI4Gqk7apgDAQhAQKaAsTj3Si6I+TKHK2rYH9JvTDszdpLkkYedYof9we23b1Xzx7vE6YQ503KZOwVAI3VHDXMgAAEIyBTI5/nag6Vl73KiJJlTFDNsfOxZvQ3pN8u6e3f1gZfLtzR+06yY4N0IxN1nlKKRuoGNKRCAAARcEciz5uSKxO90ZY4SxmqYQIvOWHZmhBB12qMCf4hzW9M3tebKlw8qIW53YxAYe7Ego8js6nw0UlfFMB4CEICAiwLzvp4XZWtteZ8Y9XJxasCHz0qbN2hin3MTpQKxiV3Oj3e3dXO7ek9nILbJrC+6VSrXX15HI3VVDOMhAAEIuCGQZ829RSTR6MbUgE4Z23t8rzlD/jxCThBrD66o+LbhK7dPCJKzh2/HsM7BGSMy81m+3ZV90Ehd0cJYCEAAAm4KGIoNyYx1/ZMzdd3kKRCjhWcsHR+tiQmTSn1X09a6lZUvHJAap+jrIptrzira4kqMaKSuaGEsBCAAAQ8EjNac5zjx8z1YIiBTcwbNGTgp/jzJQ+xtos3xwLbbttrJodqPdxmjV0wZlpWuQKORuqKFsRCAAAQ8EDAUz8gkgS3xYImATB0ZMzbmT8PuHCln85WVL5Ttatqq2rN3GdHXJr3lRjm5/jAGjdQVLYyFAAQg4IGA88HfB4Wy9ziR5HczPdjGJ1MXjnv2jF7a3jqpxTfWlRx949DaGqlxSr3OiGxpfe2ZrhwXiEaq1GoiLghAICgFDCXZNxOjPLUlJ/cZpbVdx9of233/brXl99N4BZHfWJC17mu5OaCRypXCOAhAAAJeEMj7bEYqt7N31XbT0YTYc3rPTv+TrMMZFu+6d1udrb7bC1yBWULkK81Z616RuzkaqVwpjIMABCDgJQGDNedFIj7ZS8v5ZZlwIZw9esbzEzRMI0ht+E7NugOlJz6ukxqn3Otsi1lfNFdufGikcqUwDgIQgICXBOaU5l7o4OKTXlrOb8vcNnz+8PTo4b2lNtzdvL3+tf3PVUqNU+p1RmRPGxSemZ9u7pQTIxqpHCWMgQAEIOBFge/P3/0XJ4r34rI+X+qS5Kv6XZJ89UCpjWxip/3+7X9W9SH2TOC3mKat+1IqV+d1NFI5ShgDAQhAwMsCeaXZ94icbvDysj5drn/EwIi7Rj08Vs4mr1Y8s6esdXebnLFKHMNEZjZlFb0oJzY0UjlKGAMBCEDAywKG4pwJJHCXvvjv5RDcWm7h2GfG9QqLDZeaXHrioyPv1Pz9sNQ4pV5nRDtMeotBTnxopHKUMAYCEICAlwWcD/3OK819nxOXPDHIy1t7tJzcQ+yPdta0PbXn4T0ebRbYyQ5ddK+sFZNWtEuFgUYqJYTrEIAABHwkYCjJ/gsxyvHR8j5Z9uw+k+Ny0+YOlVycEX94213bWhxNLh0AL7muHwfI/T4pGqkfi4KtIAABCPxUwGDNPYNINKlJJUobJTwybtkEgQTJ/vFGzdrKjSdK6tWU309jFYg9X6AvWi0VvySE1AK4DgEIQAAC7gk4P941lub8k4iS3VshMLPuHHH/iIFR6ZLPVt3RvKWuYP+Lqn0ajEDs4wJ90QIpZTRSKSFchwAEIOBDAUNx9h0k0EwfbuH1pa9M/V3SBf0uHyC1cLvY3v3Atj9vkxqn1OuMsyOmzKKrpOJDI5USwnUIQAACPhQwluaO4VyU/PjQhyG4vHRa9JDI24ffN0bOxMd337/9RNcxm5yxShwT1zt8+rKJ5saeYkMjVWLlEBMEIBBSAkZr9rucqL+akn7kjKXjYzS9JB/2vaxs8a6qjsoONeX201gZaf5s0q/diEaq1goibghAICQE1Pjx7uzBf0qbEHdOz4+DY8QX7Zy/rcFWp9o7d+U86BvvSEPirymShAAElCxgKMk9h5j4spJj/GVsg6IGR9w58sExzhumThf3gfZ9zc/vfbxcTXmdItYNZr3lTrwjVXkVET4EIBDcAvO+nhfW3dryKWcUqaZMcwb9cdCk+P9LPFXMXY5O+0sVT5VVd1TJOvhduXmzOrO+6BI0UuVWCJFBAAIQOCmQV5rzjMi5Xm0cv029IWVKYlaSlmk1P8R+uLO69e3qwkP7WsslTwVSQ77abrpi5XTLsdPFio921VBFxAgBCAS9gLF4xrVcYJLfWVQiRDiLEMbFndmLMYEabLXdwdJAf7DWCpq7V05bW4JGqsRXH2KCAAQg8L3AvNKZKTbucB7OgF8KExBIMBXoC19CI1VYYRAOBCAAgV8KGKzZbxDRYMgoS0Ag+rJAb7kFjVRZdUE0EIAABH4loMZD7EOijJxazJmWLDTSkKg2koQABNQsYCjOnUyCKOth0mrOU42xM4q4xqQ3HTpV7LjZSI0VRcwQgEBQCuTvvE53oDbsUyIeEZQJqjkpTn81Z1o+QiNVcxEROwQgEBICBmvOi0R8ckgkq6IkGdFrJr3lVTRSFRUNoUIAAqEpkGfNmSMSvyk0s1du1j09Ug0f7Sq3bogMAhAIQYG5G3LOtov8lO98QpBDMSkzon0mveUGvCNVTEkQCAQgAIFTCxiKDRFM6CrhRFoYKUiAs+62491T11+/3vHLqPCOVEF1QigQgAAEnAJGa7aZE42DhrIEdIL2dyumralCI1VWXRANBCAAgV8JqPGxaiFRRpHfbc5a96ujAvGONCSqjyQhAAE1CRiKZ2SSwJaoKeZQiFVg7MWCjCIz3pGGQrWRIwQgoGqBOzYb4hqbuz5WdRJBGDxj9L4pw/IwGmkQFhcpQQACwSdgtOa8yYmnBV9m6s2IcdptyrTMQiNVbw0ROQQgEEICeaU5D4qcXx1CKSs+Vcapw5RpmYZGqvhSIUAIQAACRIaS7KuI0a8+RoRNgAXE8CvNWeajP40CNxsFuCbYHgIQgMCpBOZsnDnM0e1YBx1lCWg1wq0rpxZuQiNVVl0QDQQgAIFfCeQX52sPsL0biPEw8ChJQHjWrC8sQiNVUk0QCwQgAIHTCBisOWuJ+Ci1AoUxHRvbe0JvrUbDWmzN9rLWna1qzeWHuBnR2ya9ZTEaqdorifghAIGQEFDzDUeXJf8mSd/v4mSdEPHjUYe1Xcc73jn896pdTVtV3FDZFrO+aC4aaUj8FUSSEICA2gWM1twbOIn3qC2Pa/rPSJmWOD31VHHbebe4at/ze8tad7epLa/v4mWNZn3RdDRSdVYPUUMAAiEm8MfPcyZ02/lKNaWdGJ4YtmD0Y2cwYqe9mfVY5+H2J/c8tFtNef0sVjF8qjnL3PmTj3tVmwoChwAEIBDUArP+MytaE2G3qinJK1OvTb6g36X9pWJetvfRnVXtB35sRlLjlXQ9Qhd+7SvnmQ+gkSqpKogFAhCAwGkEjNYZ73BiA9QCdP3APwyYnDAtSSred2teP2g98WGt1DglXv/lV2DwPVIlVgkxQQACEPhewFia/STndKFaQOQ20o11JUffOLS2Ri15/TROgQuLCzIL38Y7UjVWDzFDAAIhJ5BnzZkjEr9JLYlfmHR54hUpvxskFe/elt0Nr+x7Zr/UOCVeZ4ytMmUUvYxGqsTqICYIQAACvxDI25A9VRRpmVpgxsee1duQfvNwqXidX4V5bPd9u6TGKfI6Z/8yZxY9hEaqyOogKAhAAAI/F5i7KXeAvUt8Ry0uSZHJuvkjHz1DKl4Hd4j3bP3TZqlxirzO6VtzpmUeGqkiq4OgIAABCPxcwHlU4EGh7DNO9OPBBko2EojRUxNenSiQIEjF+fju+7ef6DpmkxqntOuMsyOmzKKr0EiVVhnEAwEIQOA0Amp7NukDY54YE6/rGylVUFPl8r3bm75tkRqnwOuOwRkjz8tn+aIzNty1q8AKISQIQAACPxUwWrOXcaKpalG5aehdQ4f3Gh0nFe97h9+o+vT4Byekxinxurabrlg53XIMjVSJ1UFMEIAABH4hYCzNuZNznqsWmOsHze4/OT4jWSrer+o/P7auylQtNU6R10U215xVtAWNVJHVQVAQgAAEfi5gLJ5xLRfYArW4XNDv4r5Xpl6fJhVvReuepuUVSyqkxinyukgPmLMsH6CRKrI6CAoCEIDAzwUMJbnnEBN//N6i0n3GxJ4ZMzf9tpFScTbY6joX7Zq/U2qcEq8LjL1YkFFkRiNVYnUQEwQgAIFfCBiKDckkdL2nFpgEXd+w+8c8MV4qXpFEPn/rjd86+Ml7dlT1SyB6o0BveQKNVFVlQ7AQgECoCnDOWV5pjvMrMOFqMXjqzJcnalmY5Fdgni57aMeRjsNdasnrhzgZsc9N+qLb0UjVVjnECwEIhKyA0ZqzjhMfphaA+0YvHt03PClKKt41B1aUb278qllqnNKuC4ztL8gouh6NVGmVQTwQgAAETiNgKMl+ihhdoBageUPuGDKq97g+UvH++8g7hz469t5xqXFKu86Imkx6y8mHCeB7pEqrDuKBAAQgcAoBQ3H2HSTQTLXgXDswN3VKQlaKVLxf1G04tv7Q31T3FRjGibcet09ef/16BxqpVJVxHQIQgIACBAzW3Bwi8S8KCEVWCHK/ArO7eXv9a/ufq5S1qMIGRQrsopenFTWgkSqsMAgHAhCAwKkE8opzposCP3mXqBp+TYw7t/eswfMknwJT3VHV+mzZI2VqyOmXMQoCu75gWtF+NFI1Vg8xQwACIScwtzR7vJ1TgVoSHxSZHnnHyPvHSMXb0t3U9fDOu3ZIjVPidcY080wZa79FI1VidRATBCAAgV8IqO27pNHaXppF45ZOkCqk87uk927507cicamhiruuYcL8VRmFn6CRKq40CAgCEIDArwVOPk6NlX3BmXpuEpX7XdJFOxdsa+iu7VZb3QVGjxdkWN5EI1Vb5RAvBCAQsgJGa84HnHhftQA8OObJsX10CRFS8b5U8fTufa1l7VLjlHadifSKKcuyEo1UaZVBPBCAAAROI2AoyVlNjEv+3FEpgLePuH94WlR6b6l4iqpW7fu6/otGqXFKu85Ets6UVbQEjVRplUE8EIAABE4jYLRmL+FEmWoBMqbfMviM2IkJUvH++9jbVR8deV91zyVlRB+Y9JYH0EilKozrEIAABBQiYCzJvpczOnksnRp+/X5ATur5fS+QPJRhY13J0TcOra1RQ04/j5FtMuuLbkUjVV/lEDEEIBCiAnmlOQaR81vVkv4F/S5NvDL12kFS8e5s2lq/qvIF1R3KwIiVmfRFuWikUhXGdQhAAAIKETBYcy4n4o8oJBzJMM7qc27szLR5kgftV3ccbHm2bNFeyQUVNoARHTPpLVegkSqsMAgHAhCAwOkE5n6WO9nuEF9Ui1B6zPDI24bNl7w5qsnW0LVw1z2qO5SBEdlMessUNFK1vCIRJwQgEPICc62zRtvJvkYtEL21cdr8cUvOlIpXJId495Y/bZYap8TrfcKSp6GRKrEyiAkCEIDAKQRmfzK7v6DtfldNOEsmvDpRII3kA77zd9y9tdneaFdTbs5YBQ3/DRqp2qqGeCEAgZAVuHnnzTHttQ0lagJ4aMxT4+J08eFSMT+w/fYt7Y42h9Q4pV1nTJiNRqq0qiAeCEAAAqcR4JyzvNLcLzlxyXd4SkE0pN+UNj727B5PY7KJNseCbTdvUUrMrsTBBH4LGqkrYhgLAQhAIMACBmvOx0Q8LsBhyN5ezp27X9V/dmxdlVl1D/c+iSDyu9FIZb8cMBACEIBA4AWM1pw3OfG0wEciP4LZg+elTYg795TvShtt9V3Pli/a3drdorqPdZ0CGkGDk43kvxQwEgIQgEDgBYwl2QWc0fjARyI/Ai1p2KWp1yRN7XtBsk7QaZwzOXFe0bKnaU3VigNqbaLOPAQuLMY7UvmvBYyEAAQgEHABozV7GSeaGvBA3AggShstJIWnRvQK66XZ17q3vc3eqsp3oT9PXXgWjdSNFwOmQAACEAiUgLE0eyHndEWg9se+v2ijxF5GI8WrAgIQgICKBPKs2XeJRNkqCjmoQ2UiM6ORBnWJkRwEIBBsAsbi7LlcoBuDLS+15sOIrUMjVWv1EDcEIBCSAkZr7g2cxHtCMnkFJi0w9i4aqQILg5AgAAEInE7AWJpzNef8QQgpQ4Bx+hCNVBm1QBQQgAAEZAkYS3Mu4ZwvljUYg/whsAGN1B/M2AMCEICAlwSMpdl6zukZLy2HZTwUYERfo5F6iIjpEIAABPwpYNww4/+4yF7y557Y6/QCjGgHGileIRCAAARUJGAozplAAl+popCDOlRGtA+NNKhLjOQgAIFgEzAUZ48igdYGW15qzYcRHUYjVWv1EDcEIBCSAobiGYNJYG+EZPKKTJo1opEqsjAICgIQgMCpBQzFhmQSut6Dj1IEWCcaqVJqgTggAAEIyBC4Y7MhrrG562MZQzHETwJopH6CxjYQgAAEvCGQX2mIOFDV9Zk31sIa3hFAI/WOI1aBAAQg4BcBzjkzlub81y+bYRNZAmikspgwCAIQgIByBIzW7M85UbhyIgrtSNBIQ7v+yB4CEFChgNGaXcKJYlQYelCGjEYalGVFUhCAQDALGK3Zn3Ki3sGco5pyQyNVU7UQKwQgAAEiMlhzPibiccBQhgAaqTLqgCggAAEIyBZQcyON0kYLE+P+L25I9LAYO+/mRzpr2r+otdZ3iV1cNoDCBqKRKqwgCAcCEICAlIDRmv0hJ4qXGqe06yNiRkXnpM1N7x0W97MbpZpsjV1/P2Sq3NOys01pMcuJB41UjhLGQAACEFCQgNGa8wEn3ldBIUmG0kcXr50/atFYnRCuPdXgTrG9++ndj+xu6K7tllxMYQPQSBVWEIQDAQhAQErAUJL9b2KUKDVOSddnp/1p0IQ+5/QY8zf1X54orHqtSklxy4kFjVSOEsZAAAIQUJCA0ZrzL068n4JCkgzl/jGPj0nQJUb2NLDeVtv56K4FOyUXU9gANFKFFQThQAACEJASMFiznYfWJ0uNU9L1JRNWnCWQ0GPPYYzxOzfP+VZJccuJBY1UjhLGQAACEFCQgLEk55+c8RQFhSQZypIJr04USCNIDVyw7eZvbaJNVXfwopFKVRXXIQABCChMwGjNfpcT9VdYWD2G88T4lybohHCNVMwPbL99S7ujzSE1TknX0UiVVA3EAgEIQECGgNGa8w4nPkDGUMUMeWz88+MjhKgwqYAe2XH31kZ7o11qnJKuo5EqqRqIBQIQgIAMAUNJ9tvEaKCMoYoZsnDcs2f00vbWSQX0+O6/bjvRdUJVX4FBI5WqKq5DAAIQUJiA0Zr9FicapLCwegznoTFPjYvTxUs+sebpsod2HOk43KWm3NBI1VQtxAoBCECAiIzW7H9wolQ1YTww5omx8bq+EVIxP7Nn4c6azkOdUuOUdB2NVEnVQCwQgAAEZAio8Xuk941+bEzf8H49fo/UmfqyvY/urGo/gEYq43WAIRCAAAQg4KaAsST7I86oj5vTAzLtvtGLR/cNT4qS2vy58sd2HWzb3yE1TknX8Y5USdVALBCAAARkCKjxwd7zRy0anRSRItlIX6h4cldlazkaqYzXAYZAAAIQgICbAgZrzmdEXPLnjW4u75Np9456ZFRyRGq01OIvVTy5ezxHAdUAACAASURBVF9rebvUOCVdxztSJVUDsUAAAhCQIWC0Zm/iRKd8ioqM6QEZcveo/FGpEQMkG+nL5U/vKW8rU9Xj1NBIA/KSwqYQgAAE3BcwWLO/dn92YGbeNerhkf0jBsZI7f5qxTN7ylp3o5FKQeE6BCAAAQi4JzDv63lhtraWL9ybHbhZd418cET/yLReUhGs2L+sbE/zjlapcUq5zojseEeqlGogDghAAAIyBO7ceGdkQ/fRDTKGKmrIX0Y+MGJA5GDJRvra/ufLdjdvU00jJeKdaKSKeqkhGAhAAAI9C9y2Kbd3S5f4qdqcbh9x//C0qPTeUnEXVL6wd0fT1hapcYq5zqkFjVQx1UAgEIAABKQFZn88O0EI6/6P9Ehljbht+F+Hp0cPlWyk5gPL925r/FY1jZQR1aORKuu1hmggAAEI9Cgw9+PsJHsYva82pluHzR82JGZ4rFTcqw+8XL6l8ZtmqXFKuc6IjqGRKqUaiAMCEICADIG5xbkD7IL4joyhihpy64h7hw2JGiHdSCtfLd/S9F8VNVJWjUaqqJcagoEABCDQs8Cc4pnDHIJjndqcbhs+f3h69HDpj3Yrl5dva/pWNY2UiA6gkart1Yh4IQCBkBaYW5o93s6pQG0It4+4b3ha1BDJRlpQ+eLeHU1bVPMzUuJUjkaqtlcj4oUABEJaYO5nuZPtDvFFtSHcOeL+EQOj0iW//rKy8oWyXU1b1fP1F852oZGq7dWIeCEAgZAWyCvOmS4K/Am1IQTxgQxb0UjV9mpEvBCAQEgL5Fln/kYkx0NqQwjWIwIZ0ddopGp7NSJeCEAgpAXmlObMcHB+t9oQ7hm5cFRKZH/JQ+uX73t6d0VLmWqe/sKIfYZGqrZXI+KFAARCWsBYnD2XC3Sj2hDmj3pkVJKMx6i9WPHE7v2tFapppAJj/0EjVdurEfFCAAIhLWAsyfkzZ3y22hAWjHp0dL+IZMkHez9f8cSuA60VqnmwN2PCm2ikans1Il4IQCCkBfKs2QtEomvVhvDX0YvHJIYnRUrFvaxs8a6qjkr1NFLOVqORSlUV1yEAAQgoSMBozX6UE12qoJBkhXL/mMfHJOgSJRvp0rJFOw91HOyUtagiBvHlaKSKKASCgAAEICBPwFiS8yxnPEPeaOWMemDME2PjdX0jpCJ6pmzhjpqOQ11S45RynZHwNBqpUqqBOCAAAQjIEDBac17lxM+WMVRRQ+4d9cioZBk3Gy3etWBbna22W1HB9xAME4V8NFK1VAtxQgACEPj/B7sarNlriWiU2jAM6TeljY89u29Pcbc6Wrof2n7nNlXlJvK70UhVVTEECwEIhLqA0ZrzDic+QG0OZ8ad3fsPg28a3lPc39R/cbywatUhNeUmaLQ3opGqqWKIFQIQCHkBgzXHSsQlDzZQIlRP70obu+s7n97z8O4OR4eoxNhPF5MujGaikaqpYogVAhAIaYH8ndfpDtRqN6oZ4fKUa5L0/S5OCWNhmh/y2NG8uW79wbXVLY4mu9pyYxRxDRqp2qqGeCEAgZAVMBQbkknoek/tABom0KCooVHhgo5VdRzoaLe3qepd6E/9IwV2ERqp2l+RiB8CEAgZgXkbs0fZusl5sxF+KURgcF/7FDRShRQDYUAAAhCQEjBaZ07h5Hheahyu+0eAEdlNestkNFL/eGMXCEAAAh4LGItzr+SCmO/xQljASwKs0awvmo5G6iVOLAMBCEDA1wLG0tyZnIt3+HofrC9PgBGrNumLfotGKs8LoyAAAQgEXECtT34JOJzPAmB7zPoifP3FZ75YGAIQgICXBfKsOfki8Su9vCyWc1OAEX1t0ltwIIObfpgGAQhAwO8CRmvOc5z4+X7fGBueUoBx+tCUabkPH+3iBQIBCEBAJQKGkpzVxPgYlYQb9GEyka0zZRUtQSMN+lIjQQhAIFgEDNZs52EMycGSj9rzEBh7sSCjyIxGqvZKIn4IQCAkBDjnLK805wtOpA2JhFWQpECaRwr0a/+BRqqCYiFECEAAAsZSYyLnnf+GhHIEBJHuKMiyfIZGqpyaIBIIQAACpxUwWHPPIBJNIFKOgPPJLyumWPagkSqnJogEAhCAwGkF8qy5F4skPgYi5QhEaLWXv3L+muNopMqpCSKBAAQg0EMjzZktEv8ziJQjMDhj5OR8lm9HI1VOTRAJBCAAgR4+2s2ZT8SvA5EyBBhRk0lvudAZDRqpMmqCKCAAAQj0KGCwZi8lomlgUoYA41RpyrSc/A8bNFJl1ARRQAACEOhRwGjNWceJDwOTMgR+OB4QjVQZ9UAUEIAABCQFjNbsEk4UIzkQA/wiIDD2n4KMovvRSP3CjU0gAAEIeCZwc/F1Me2CtsSzVTDbmwICkaVAb3kGjdSbqlgLAhCAgI8E5hTPHOYQHOt8tLzflj0j9qxeY2PHx/bSxobV2050bW36prGipazdbwF4cyORvWjOKjKjkXoTFWtBAAIQ8JFA3obsqaJIy3y0vM+X1Qk69schtw8ZGjMy7pebbarbcOzN6jXVDi76PA6vbsBpoTnT8k80Uq+qYjEIQAACvhGYU5ozw8H53b5Z3ferzk2/bfCY2DMTTrdT6fGPDr9z+O9HfB+J93bQMOH2VRmFn6ORes8UK0EAAhDwmYChOHsBCXStzzbw4cL9IwZG3DXq4bE9bWHndsejOxfsaLY32n0YileXDhPCcl6btnovGqlXWbEYBCAAAd8IGK3Zr3CiSb5Z3berXpb826SLkq8cILWLuXJ5+bamb5ulxinluqCJzCqYWtCCRqqUiiAOCEAAAj0IGK3ZH3CivmpEMqbfMviM2Imn/Vj3h5zerrYc2FD7SZ0qcuTUYs60ZP0QKw5kUEXVECQEIBCqAmr/6svtI+4fnhaV3luqfkVVq/Z9Xf9Fo9Q4JVxnxMpM+qJcNFIlVAMxQAACEJAQ+ONn2WO7HfQ3tUI9NPapsXFh8RFS8b9U8eTufa3lqvgqDCNWbNIX3YNGKlVVXIcABCCgAIE5pTOucHC2UAGhuBXCU2e+MlHLtILU5EW75m9tsNWp4mYjgdHaggzLj19Hwke7UtXFdQhAAAIBFMiz5t4ikmgMYAhub91LE6tdeMYzZ0otIJIo3r1l3mapcUq5LhA9VaC3vI53pEqpCOKAAAQg0IOA0ZrzNCf+440tasIaHDMs8s/DFoyRirnJ1ti1cNfdO6TGKeW6INIdBVmWz9BIlVIRxAEBCECgp0Zakr2eM0pXI9JZfc6NnZk2T/KJNTUdB1ueKVt08juZavilJe11K/VrKtFI1VAtxAgBCIS0wHWvX6eJSdJ+zom0aoS4oN9liVem/n6QVOw7m7bWr6p84cfGJDU+0NcHDwqfmp9u7kQjDXQlsD8EIAABCYF5G2YNson2t9QKde3A3NQpCVkpUvF/Xlty9M3qtTVS45RwnRHVm/SWi38aC242UkJlEAMEIACBUwjkFedMFwX+hFpx8obcOnhc7wmShzG8f+Stqk+O/euEGvJkRDtMeosBjVQN1UKMEIBAyAsYi3Nu5QL/2b+01YTyl5EPjBgQObiXVMxFVasqvq7/oklqnBKu//SB3vhoVwkVQQwQgAAEehAwWHNeJOKT1Yr00JinxsXp4sOl4n+h/MndlW3qOIxBIMFUoC98Ce9IpaqK6xCAAAQUIGCw5nxMxH/1DE8FhCYrhCUTXp0okEbyMIb8HXdvVcuTXwQuLC7ILHwbjVTWSwCDIAABCAROYO7H2Un2MHo/cBF4tnOcNk770LglMg5jcIh3b/mTag5jYAK/xTRt3ZdopJ69PjAbAhCAgM8FDMUzMklgS3y+kY82GBIzLOrWYQtGSy3faKvvemTXvao5jEEbLvx25eTCajRSqcriOgQgAIEACxiKZ9xIApsb4DDc3v68hIw+1w2cPURqgUPtlS1L9y5Wx2EMnHW3He+euv769Q40UqnK4joEIACBAAsYrdnLONHUAIfh9vZX978hRZ94UarUAtuavqk1V758UGqcEq4zYhUmfdGMX8aC75EqoTqIAQIQgMAvBNT8MG9nKnPSb0sfG3tmvFRhPz3+r+r3Dr91TGqcEq6f6qsvzrjQSJVQHcQAAQhA4CcCsz+enSCEdf9HzSjzRy0anRSREiWVg6q+Q0rs5QJ90Sq8I5WqKq5DAAIQCLDAnNLc8x1cfC7AYXi0/VNnvjJBy7QaqUWe2bNwZ03noR/PrZUaH8jrWkFz98ppa0vQSANZBewNAQhAQIaA0Zr9J070RxlDFTmkb3hi2H2jHx8vFRwnzudvuXGznRxcaqwSrusE7e9WTFtThUaqhGogBghAAAI9CBit2a9woklqRRoXO6FXXvqtI6Tib7DVdS7aNX+n1DglXGdEttZj9mm/vGPXGRt+RqqECiEGCEAAAt8L5Bfnaw8Ie0uIeIRaUS5MujzxipTfST4+bV9rWeNLFU/vU0WenMrNmZbsU8WKRqqKCiJICEAgVATmfD5rnMNuN6s53+yBeQPPSZjSTyqHTfWlR1+vWq2Wx6d9YNJbHkAjlaoqrkMAAhAIsMCcDTmzHCK/PcBheLT9bcPnD0+PHt5bapF3a14/aD3xYa3UOGVc58vN+nUFaKTKqAaigAAEIHBaAWNJzrOc8Qw1Ey0c+8y4XmGxkk99ebViaVlZ685WVeQq8rvNWet+dceuM3Z8tKuKCiJICEAgFAQ45yyvNOdjThSr1nzDhXD2xJnLJzpzkcpBTU99YRRxjUlvOoR3pFJVxXUIQAACART4wyc3DGVa4e8BDMHjrdOih0TePvy+MVIL2cRO+4Jtt26VGqeE6847dtMyRk7NZ/kiGqkSKoIYIAABCJxGwFg841ousAVqBpqcMK3P9QP/IHlY/eHOQ61L9iwsU0OujFiZSV+Ue7pYJd96qyFJxAgBCEAgGASM1uxHOdGlas7lopQrEi9Lukbyqy/qOqyeTnvHrrNWaKRqfsUidghAIKgEjNbs9zlRkpqTuqDfpX2vTL02TSoHNR1WzwR6yTTNYsI7Uqmq4joEIACBAArM2zBrkE20vxXAELyy9YiYUdE3Drt7lNRiy/Y+urOq/YAqztgVON1WkGn5Ao1Uqqq4DgEIQCCAAnNKc2Y4OL87gCF4beu7Rz08MjViYMzpFqzuONjybNkidTzMm4h0tl4XrrhoRRMaqddeIlgIAhCAgPcFjNYZL3Bi53l/Zf+vmBieGHbTsHtGxIXF/+qYQ+f5ui9WPFXWYKuz+z8y13dkxKpN+qLf9jQTPyN13RUzIAABCHhVwFBsiGBC1yecSPIQA69u7MPFemvjtBf0uyRxfNzZCRHaCKHT3uXY0vjf+k9P/Pt4a3eLw4dbe3Xp0z3M+6eboJF6lRyLQQACEHBdwGidOYWT43nXZ2KGrwUEYksL9EWFeEfqa2msDwEIQMADAaM1525OfIYHS2CqrwRENtecVbQFjdRXwFgXAhCAgBcEDCXZbxOjgV5YCkt4UYARE9MG6TLy08093l2Mj3a9iI6lIAABCLgqMHdT7gB7l/iOq/Mw3g8CPTyD9Ke7o5H6oRbYAgIQgMDpBIzW3Bs4ifdASHkCjNg7Jn3Ro1KRoZFKCeE6BCAAAR8KGK05z3Hi5/twCyztpoDAhcUFmYVvS01HI5USwnUIQAACPhLIrzREHKwKrq+9+IgqIMuGCWE5r01bLXlwBBppQMqDTSEAAQgQ5W3ImS6K/AlYKE+AEXWliSP1+Vn5kgdHoJEqr36ICAIQCBEBY2n2k5zThSGSrqrSZERbTXrLHDlBo5HKUcIYCEAAAl4WuHPjnZEN3cc+IuK/OkbPy1thOTcEBCJLgd7yjJypaKRylDAGAhCAgJcFDCXZFxGjx728LJbzloBID5izLB/IWQ6NVI4SxkAAAhDwsoChJPspYnSBl5fFcl4SEO1hV6++cHWNnOXQSOUoYQwEIAABLwo4P9Zt7D76cTAdUu9FnoAvxYiOmfSWK+QGgkYqVwrjIAABCHhJIM+ae7FI4mNeWg7LeFlAIPZegb4oX+6yaKRypTAOAhCAgJcE8LGulyB9tAwThHzTtML35C6PRipXCuMgAAEIeEEAH+t6AdHHS+iY5qoVGWuPyN0GjVSuFMZBAAIQ8IJAXknuZSITF3lhKSzhAwFGVGPSW652ZWk0Ule0MBYCEICAhwJGa/YrnGiSh8tguo8EGKd/mDItj7iyPBqpK1oYCwEIQMADATwyzQM8v01lD5n1Rf9yZTs0Ule0MBYCEICABwJ51txbRBKNHiyhuKl9dAnaSQmT+6RFDo3pcnQ6ajoOtG848WldN7dzxQUrI6AIrfbyV85fc1zG0B+HoJG6ooWxEIAABNwUuO716zQxSdr3OVFfN5dQ3LQJcWf3njEob4hOCNf8NLhme5PNVPlSxcG2/R2KC7qngDgdMmdarnE1ZjRSV8UwHgIQgIAbAoaSmdOIOZa6MVWRU9Kih0T+efhfRzNip+wjLfZm27K9i3c32Ookn56ilAQZ0dsmvWWxq/GgkboqhvEQgAAE3BAwWrOXcKJMN6YqcspNQ+8aOrzX6Liegis5/uHhfxx+XfbXSAKdKGPsflNG0X9cjQON1FUxjIcABCDgosDsj2cnCGHdzhtYfvYRqIvLKGZ4H1289sGxT40nTj32kKOdh9ue2vPQHsUELhGITqRLV2RZal2NF43UVTGMhwAEIOCigNGa/QdOdJuL0xQ7XJ94cd+r+1+fJhXgsc4j7U/ueXC31DiFXD9g1luudScWNFJ31DAHAhCAgAsCRmv2W5xokAtTFD30lmH3DB0aM7LHj3WdCexvLW96seLJCkUn80NwIr1hzrI84U6saKTuqGEOBCAAAZkCRuvMKZwcz8scrvhhEZoIYdG4587UMI0gFexHR/9R/e+j/zgmNU4J1xnRvSa95VN3YkEjdUcNcyAAAQjIFMizZr8kEv2fzOGKHzYp/ry4nEFzhsoJ9Omyh3Yc6TjcJWdsIMcwIvv/a+/O46Oqzj6AP+fOTDLZyEoCCSELhLCodS8iJETFvdbWpYSlhrC0pVLXt1jXsdYqfVupBfUthWQEkqC41NaqtSoQkCpQQAhrgAQIELLvk9nued+Lr5YiMNu9M/fe+flH6+czZ3me77n4MHfuPcfVb7x2xQ0rev2JA4XUHzX0gQAEIOCFwMyN04a7ne5VXjTVTJOSnJ9kXxR/WbKngFsdzbZnd/9it6d26vicfWYtrLzX31hQSP2VQz8IQAACHgRK102xiMRv1QuUgQn0zIUvfsssRBk95bSxdc2JN45WHPfUTg2fMxL+u7yw4jV/Y0Eh9VcO/SAAAQicR2DOmuIUp0DvciKPRUcrkKMGXBA7O/f+fG/ifaX2v/fW9u7z61apN+PL2cbXY9POnBuFVM7VwFgQgAAE/l+gZG3xXGJUqieQuzPvGTI2eUKap5x63N3OJ3c+sMNTOzV8zogdKC+snBxILCikgeihLwQgAIGzCFjqSsyHj9ilfXXj9QT05OjfXJAQkRTpKadt7ZuaVxxecsRTOzV8LpBQXlZY8VIgsaCQBqKHvhCAAATOIjCjeuqdnIuP6AlnaHS2+f4Rj4/xJqcV9Utqt3Vs6vKmbejbCDOshRU7A4kDhTQQPfSFAAQgcIaAhVuE+nX73iRGmXrCuTX9zkHXpN6Y4SknJ3e6H99x3xdO7lD9MWqMU3tWYf4NFmYRPeV1vs9RSAPRQ18IQAACZwiUrCm+kQT6ld5g/iv/6ZGDozJiPOW1r3t3+x8PvnDIUzs1fM44/aV8YtUvA40FhTRQQfSHAAQg8P8CX545anqdE/e4D62W0BJNKaYnL1hwIefcY814s6Gy7tOWT9q0kJ9RMDy8dMLKtYHG6hEl0AnQHwIQgEC4CMxYP/VWLooWveU7afAtA29K+57HvYI5cf7Urge/6HF2u1VvwJkzMSLtmoXjFgZ8+DgKqepXGwFCAAJaELCssRgPC/ve5EQef0fUQj6nxzh/5C9HpZnToz3FfbSvrnvh/mf3e2qnis85bbROrPqZHLGgkMqhiDEgAIGwFyhdO/V7IhMf0xuEL0/r/r3xnaN/b/xrkxYMGBOeLy+oeEOOWFFI5VDEGBCAQFgLzNkyx+To7X6biAbpDeKuzHuGXOXFJgyMMf7r3Y/WNNtPOrRgYHTSLUuvq5LlZBoUUi2sOGKEAARULVC6rvhukejnqg7Sj+CkvXUtF7xwUYwh1uSpu5Zu6zKiXeWFVfd4ysnbz1FIvZVCOwhAAAJnEZj33rzInpiWdzhRit6ALo6/Mv6HOXOGe5PX2w1V9etbPm71pm2o2xgY++2ygkrZTuVBIQ31imJ+CEBA0wIzqqdO41y8X9NJnCP4Obn3544ccEGip9xc3OV+quaBHTa3LaCNDTzNI8fnjJhoEvnNS4qqWuQYTxoDhVQuSYwDAQiEncDMjTOTRGffW5woVm/Jx5riDJYxv71IIIPgKbcdnf9qtda9Uu+pnRo+F4g+Lyus+qmcsaCQyqmJsSAAgbASmLFuyuOc+O16TPqa1JsG3pp+h8d3R6Xcl9Yt2re784seTThweto6seqvcsaKQiqnJsaCAATCRmDWuumj3Ny1nDN93tn7+cinRw4ye94SsMvZYbfserhGCwvPiBxRouv6l4tWy1r0UUi1sPqIEQIQUJ3AjLXFZZzRRaoLTIaAMqOyzA/kP+HVSS/rmz86/vaxVSdkmFbxIRijj8sLqubLPREKqdyiGA8CENC9QOnaqTeJTHxGr4nemTktY1zyRI/vxErvjj6/9/Gak7YTmnh3VODsv8omVq6Re91QSOUWxXgQgICuBR7Y+EBUu6PxLWI0UI+JSu+OPnXB7y6KNcR5fHf0mO1w9+/2PaOJLQEZUU9Wiut6y5jVshd9FFI9/klAThCAgGICpeum/lQkcYZiE4R44IsTLhvww+yf5HkTxjvHXqtf1/wPTbw7KteRaWdzQSH15mpBGwhAAAJENOuzqUNc/Xw1Me7x25pWwe4YMjXj6pQij7d1XdwpWnY99EWfq0/1745Ka2FgbO6ygspNSqwLCqkSqhgTAhDQnYB0Fmdp9ZRXONHlukvutITmDn94+PDYkfGecqzp2t5admixJt4dZcRasgpG3GxhFkWKPgqpp6sFn0MAAhAgohnVU+/kXHxE7xjTs+YMvSTxSo+//5bVLd5f07m9WxMenCqtE6teUCpWFFKlZDEuBCCgG4E51dMGO7n7NU7k8UxOrSc9buDEpDszpuWcL48OZ1v/L3f9fJdWcmVM+GF5QcVupeJFIVVKFuNCAAK6EShdV/ySSPRt3SR0nkQEYnR//uP5Q6KyzrrtofTKy5KDL+7f07VD1k0NlLJlnOrKJ1bdpdT40rgopErqYmwIQEDzAjOri293c3pc84n4kEByRJJpStaPsnNihg04vZtDtLv/dvyto1o55eVU7CL7rbVIvpNezsaIQurDxYWmEIBAeAnM+qg4zWVirxPxmPDK/MtspWPUhsUNj4kxxpqO2Rr6trdv6mh1tDi1Y8H6BYP5prLxZYr+lotCqp0rApFCAAJBFihZW/wHYjQuyNNiOpkElHx39PQQUUhlWjAMAwEI6EtgRvWU73LOn9BXVuGVjclA9/xpfJXiD0WhkIbXdYVsIQABLwRK10/JFUVaTsTNXjRHE1UKsL3WwsppwQgNhTQYypgDAhDQjIClrsR85Khjuch5rmaCRqDfEDAw+tWygqo/B4MGhTQYypgDAhDQjMCMtcVPcka3aSZgBHoWAdabaEq7ceG4hbZg8KCQBkMZc0AAApoQmFk9+RY3Z09rIlgEeR4BttpaWLkgWEQopMGSxjwQgICqBX78z5Lsfkf/SiKG30VVvVKegzOIhsnLilYe8NxSnhYopPI4YhQIQEDDAiVrSsxMcFg58eEaTgOhnxJg262FlbOCiYFCGkxtzAUBCKhSYMa6KY9z4rerMjgE5ZOAwIUnyiZWvO9TpwAbo5AGCIjuEICAtgVmrp9yl1vk87WdBaL/UoB1ZKc4b7aMWe0IpggKaTC1MRcEIKAqgVkbpo51u/kfOHFBVYEhGD8F2AprYeWLfnb2uxsKqd906AgBCGhZQNp0gYu8jBOd9ZQTLecWjrEzIhcXI2+3Flkbg50/CmmwxTEfBCAQcoH7t5UkdHbZX+VEGSEPBgHIIsAY/a28oOopWQbzcRAUUh/B0BwCENC2wJwtc0yO3p5XiPjF2s4E0Z8uwF3iD1699rWDoVBBIQ2FOuaEAARCJlCydsovifGbQxYAJlZCYL21sOoBJQb2ZkwUUm+U0AYCENCFQOm6KTNF4j/RRTJI4t8CIptlLarcHioSFNJQyWNeCEAgqAKl1cV3iJx+EdRJVTRZjDHWkBo5ODLSECnU9dT22kU7V1F4AYQS/A0YzgwWhTSA5UNXCEBAGwIl66bczDh/mjMKu//mRTKzcNuQH6RfkXRVipEZDdKKObnT/UX71rbVR1896uQObRdUbnjAOnHl+lBeiWF3UYUSG3NDAALBFyhdO6WIM1oQju+KGphAPx720LBhsfkJZ5NvsNV3L9r/m1qtFlNGdLCsoHIyYyykfxlAIQ3+n2vMCAEIBEmgdG3xVZzRQk5kDNKUqprmexmTB08YeF36+YJ69/gbRz5p+qBZVYF7GYyB8aeWFaz6m5fNFWuGQqoYLQaGAARCKTCjetqlxN2LOFFkKOMI1dyZUVnm+/IfGyWQcN5dm1rsTbZf73l0d6jiDGDexmwx/3ZLkcUVwBiydEUhlYURg0AAAmoSmLlm+gWi4HqZE0WrKa5gxvJg/hP5Q6KyPO7a1C/aXI/umPdFMGOTYy4DY79dVlC5So6xAh0DhTRQQfSHAARUJSAVUTdzLSJGcaoKLIjBXJN6fcqt6XdneTNlj7vH8eTO+3d601YtbRhRZ4Jp0K0Lxy20qSEmFFI1rAJigAAEZBEoWTv1CkbiEsYXgQAAIABJREFUC//3cFGULANqcJDEiGTj/JG/HBMhRHr1u/C/2v7ZVHFk2VEtpcqI/lReWPVHtcSMQqqWlUAcEIBAQAIlayZPJCY8R4ybAhpI451n596XM2rAhUnepCGSyF/c9+zuo7bD/d60V0MbRtQTGynctmhsRZca4pFiQCFVy0ogDghAwG+BGWum3soF8QkiOvWeZLj+c0nClQOmZ8/J8zb/T1s+OfFmQ+Vxb9uroZ3A2OKygkqrGmL5KgYUUjWtBmKBAAR8FihZM2UyCfxhnzvqrIPZYBZ+MfLZ0XGmeK+eUu5wtPc/v/ex3Q5ROxsyMGItWUMjbrfkWFX1DRqFVGd/mJAOBMJJoLR66myRiz8Kp5zPlevdmfcMGZs8Ic1bi7K6xftrOrd3e9teDe0YE54vL6h4Qw2xnB4DCqnaVgTxQAACHgXuev0uQ2yq8SHO6G6PjcOgQU5sXtS9w38+ihHz6r/pOzr/1Wqte6VeSzSMWENWwYg7LSz0742e6eYVupawESsEIKBvgbm75sb2tXQ8T8TH6jtT77KTtgF8ON8yMs2cHuNNj36xz/Xcrid2dbs7Q76RgTfxft1GpMetRVUf+NQnSI1RSIMEjWkgAIHABeasnz7UKboXcuJevSMZ+IzqH+GGQd9JvWHQdzO9jfStY5V1G5o/afO2vSracaotL6ycEuo9dc9lgUKqiqsEQUAAAp4EZlZPudIt8gXhvNHCmUapkYMiHhr51GgTM3n1tPLhvkNdL+7/da0na7V9Loh0f1lR1Qa1xfVVPCikal0ZxAUBCHwtULqu+G6R6KFwf73l9EtCuqX7QP6T+enmIR63AZT6ublbfGH/07tP2I7btXVphf68UU9eKKSehPA5BCAQMgHLGovxiLDvYZHozpAFodKJ78qcnnFVcuEgb8P7pOmDY+8ef6PR2/aqaSeyWdaiyu2qiecsgaCQqnl1EBsEwljgx59OT7U7Xc9yRpeEMcNZU784/ooB9+T+eDjn3Kv/hksnvPxmzxN7XOQO6bmdvq4jI9pQXlh1v6/9gt3eq0UIdlCYDwIQCG+B0vXF40WRWYj4WQ+kDmed5Igk00MjLaPNQrRXe+lKD+j8T+1v9+3r2dOrJTcmncQeYSheNm7lAbXHjUKq9hVCfBAII4E5W+aYnH0993LOp4ZR2l6nKv0uet+IR0cMicr2+mSbLW2fN1ce+dMRrydRSUNG7P3ywkpp20fV/4NCqvolQoAQCA+BWZ9NHeLuF5/jjEaFR8a+Z3l7xg/SCwZOGuxtzy5nh/03e5/a0+fudXvbRw3tGCcbCebvlxeUN6shHk8xoJB6EsLnEICA4gIzqqfcwDk9SsS92lRA8YBUOMEF8d+KK82dl0fcu8NGpJNd/lj7u321vfs0dUtXojcI7MVlEypXqHAZzhoSCqlWVgpxQkCHAnO2zIl29fU8JHL+XR2mJ1tKCcYE40OjLKNjDLFeHxH3j8a/NLzf+JeTsgURpIEYp7qswvxiNW4FeC4CFNIgXRyYBgIQ+E+BWRumjnW5xceJyOtXOMLVcF7e/LycmLwB3uZ/oGdv58sHfqv6h3TOlo9gMP64bPyKLd7mqoZ2KKRqWAXEAIEwEijdUBonuvseJGLfCaO0/U71lsF3DLo27aYMbwfodnU5frfXsrvL1aWp30Wl/BinD8snVj3qba5qaYdCqpaVQBwQCAOBWeunTXSL4iOceEoYpBtwiiPjxsTMHnZ/vrenunDi/E+HXty/t6umJ+DJgzyA9IBRpMl4x/9cvaIpyFMHPB0KacCEGAACEPAkMHPjzCTutP1cJH6dp7b4/EsBE4tgj49+boy3B3VLfTS7e5EGHzA6/TpFIcWfWghAQFGB0rVTb+JMfJgTxSs6kc4Gvz7tO6k3Dvb+VJf6voNdi/c/XyuSpjYv+mrV6rML8idr6QEjFFKd/YFDOhBQo0DJmuKRJLCHifjFaoxP7TE9mP9k/pCooV5tSN/r7nW+sO/p3e2ONm2dMfrVInDhJ9aJFZvVvibnig/fSLW6cogbAioVkG7jik7bXOL8u5x5986jSlMJaVhPjF4wJjEi2ewxCEa8/NDLtTs7t3Z7bKvOBv+wFlb9Qp2heRcVCql3TmgFAQh4ELBwi/Hw+trJnPPZ2Fgh8MvlZyN+kZcdPczjKy/rmz868faxVccDnzH4I2j5ASPc2g3+9YIZIaBrgZK10yYQuR8kRpm6TjSIyV2TeuPAW9PvHHq+KY/ZDnf/fv+z+91cDGJk8k0lEPtDWWHlcvlGDM1I+EYaGnfMCgFdCJSsm5JHRPcR8bG6SEhFSUgb1N+b90heVnTuWb+Vdrk6HYv2P7e31dHiVFHYvoSyN1vML7EUWbT5u+5pmaKQ+rLsaAsBCJwSKF0/JZdEmoPXWZS9IGKMcYa7MqdlXhh/adLp75I22Oq7y+tePqTdh4uYk7vd01699rWDygoGZ3QU0uA4YxYI6EKgZM3kbMEgzOYivx4PEgVvSQeZ0yOHRGdFRQnRhtqePT2N/cftwZtd/pkY0aLywqpX5R85NCOikIbGHbNCQFMCp444c4izibObpPOWNRU8glWVACOq6Tnpmrn67tWa28LwXJAopKq6xBAMBNQlULphcjp3sVmc0S3S5jPqig7RaE2AEdkFF5uy7NrKw1qL/XzxopDqaTWRCwRkEpizsXik00nTONEkFFCZUDEMEQkvWAsrKvVGgUKqtxVFPhDwU4BzzmZVT53g5nwaMbrUz2HQDQJnFWCctmUV5v/IwizafFfnPOuKQoqLHgJhLmCpKzEfPuq8lbg4hROd973FMKdC+n4L8H6jaJi8tKiiwe8hVNwRhVTFi4PQIKCkwJwtxSmOHrqbMboDG8orKY2xDQJbsGxC5Wq9SqCQ6nVlkRcEziIg3b4t3VB8JRfZ7YyoiBMZAQUBZQXY5vKCirmMMU0eS+ONDQqpN0poAwGNC8z6qDjNHUHfIZF9lzM+WOPpIHyNCDCivqioyLtfvtLaqJGQ/QoThdQvNnSCgPoFTm0iX72vgHOSvn1ehQ0U1L9meouQMfZMeUHlO3rL68x8UEj1vsLIL+wEZq2bnuMSXd9ljG7hjBLDDgAJq0KAEX1QXlj1uCqCUTgIFFKFgTE8BIIhMGPdjExOtknE2SRiJG0kj38gEEqB+kTToOkLxy20hTKIYM2NQhosacwDAZkFfvjxDzMEwTWJBLqOiI+UeXgM56fAxfFXDLgo4dKExMiUyHZHi2Nfd03n562fdvg5nAa7sX7uct+jlw3pvVkAFFJvlNAGAioRmLupZJDd7pjkdtMkYny0SsJCGEQ0wDjAMC17Tvbw2JEJZ4LUdu/pWH74j/W9rh7d7C97rkVnomApL6p4N5wuChTScFpt5Ko5Ael1lR/9c0q+007jSaDxnOgCzSURBgEPiRpqLs25d3hCRFLkudLd0fmvFmvdK7raY/bMXAXG3ikrqHwmDJb8P1JEIQ23FUe+qheYu2tubH9Tx1hREK8mEsYR8WTVBx3GAV6ccNmAyUNLcyOEyPNu6i+9R7lw76/2HLHV6fJ3Q0bsABcjSqxF1v5wuxxQSMNtxZGvKgVmrpk2XBTcV3NOVxOjb2GjeFUu0zeCuj7tO6k3DL5tyOmHbp8v8r8cf71+bdOHrdrIzvsopfdFBRebrrdTXbwVQCH1VgrtICCjwJzqaYPd5LqUk3CpyPm3iWiQjMNjKIUFjGRgU7JmZV6ceMVAX6b66OR7x9478ZbuNicQSHi0rLDiQ18s9NQWhVRPq4lcVCsgvZ5CzH4pEb+Uc7oMhVO1S+UxMOmhopm584ZlRufEeWx8RoOyusX7azq3d/vaT9XtRXrDWlT1vKpjVDg4FFKFgTF8eApImyK4RedlzCBcwjm/jBOlhKeEvrL25qGic2Xc6eiwP7f30V0O0aGnPWf3Zqe4Si1jVjv0tdK+ZYNC6psXWkPgGwLSKyk2m300iWw0MRrNiY8iRj5/WwGtugWkh4p+MLQ0N9LDQ0Vny0IkUXzlwO/2HezZ16fuLL2PjhH1uF2mqcuvXX7M+176bIlCqs91RVYKCUhHj7l72Wi3KI4mJhVONpqIf+O9QYWmx7AhEvD1oaLTw7S7+10rDy85tKtrh55u6bqZwH9WPmHV5yFaElVNi0KqquVAMGoRKFlTYo6ItGc7nCyXMcrlnA9jRKNwi1YtKxScOEzMyIqHzvT5oaKvomtztPQvq/vDgRO24/bgRBysWdivrYWVbwVrNrXPg0Kq9hVCfIoKWOpKzA1H3DmcOXM5sVyRUy4jyiVO6TgtRVF61Q8u/R46NWt2Tpp5cLQ/wdb11HYuq1tc1+fu1dVuRoyxivKCyoX+mOi1DwqpXlcWeX0tMP3v02MMZne6URAyRFHM4JxnEGMZRDyHE6WDCgJnClyTeuPAGwffPsTIjII/OptbNza93mA96uaiP91V24dxVp1VOOJhC7PoK7EAxVFIAwRE99ALzHtvXqQtqW2g2+nO4KKQwRilM05DRE7pjPEMThQf+igRgRYEBhgTjNOzZ2cNi83363dvkUT+3vG3jnzS9EGLFvL1JUbGaH+CcdDMcDnRxScb6T9CvnRAWwgES8Cd5Tb1NbWlCEQpIrEURpQi/UbJhFOvknz571/+f2ywYsI8+hWQTm25Y+i07BhDjMmfLHX6UNEpCkasxeDk9yy9ruqkPzZ678NK1hVv0XuSyA8CEIDAuQQihAh2R8a0IVckj0v1V0m/DxWdKqP9RjLMXlq4Yo+/Pnrvh0Kq9xVGfhCAwDkFsmJyo6YOnZWTEpka5S9TXW9t17JDiw/p7aGirzz+bx/dn5cXVn3ir0849EMhDYdVRo4QgMA3BG4YdFvqpEG3ZAhk8OuBImlAvT5U9DWWyBZbiyqtuHzOL4BCiisEAhAIK4HkiCTTlKwfZefEDBvgb+LSTkXvHX/rqB4fKvq3Cf+rtXDV0/4ahVM/FNJwWm3kCoEwFxgROyqmJHfucLMQZfSXos3RYlt5ZGldfc8BXZ4r+qUL25xdMGKehVlc/jqFUz8U0nBabeQKgTAWGBabHz07974REULEeQ/gPh/R1vbPmlYfXdFgF+162nj+P1JmRDWmmLi5Sy5fopt9gZW+7FFIlRbG+BCAgCoE5uX9Is/f27l9Yp/zjcMrD2/v3NSpimQUCkJ6V5QJUT8qG1+mp32BFdL697AopIoTYwIIQCDUAommFNOTFyy4kHPu8yY0B3v2dVbU/6m+w9Wh99uc9VECm/3KhMr2UK+X1uZHIdXaiiFeCEDAZ4GMqMzIh/KfusCXji7uEj9s/EvDRyffa/alnxbbMs5OGFx8FjZc8G/1UEj9c0MvCEBAQwK+fiNtsZ/sW1G/pO6o7XC/htL0K1RG1GIQhVlLiyoa/BoAnQiFFBcBBCAQFgLz8ubn5cTknfeVF8YY39hS3fTnhopjTu7S7QNFp/261yEINKdsQuWhsLgIFEoShVQhWAwLAQioS8DTU7s97h7H6iPL63d2bg2LB20YUY/JRD9eMq5qr7pWSnvRoJBqb80QMQQg4KfAyLgxMT/InJETH5Hw9WEdnDjf07mjbVWD9WiPs1tXZ4eem4n1k0j3Wosqt/tJiW6nCaCQ4nKAAATCSkAgRhclXDogKWJghHRe6I6OrZ3tzhZn2CBw5iTOHrAWVXwWNjkrnCgKqcLAGB4CEICAWgQYkYuL/BFr0aq1aolJD3GgkOphFZEDBCAAAQ8CjMjBuWG+deLK9cCSVwCFVF5PjAYBCEBAdQKMk40ZjQ+UjV+B86cVWB0UUgVQMSQEIAAB1Qhw6jaYjPOWXb2iRjUx6SwQFFKdLSjSgYAWBRIjkoxXJRcm58blxSUakyPbHC323V1fdKxr+keLSGHwOqdCi8aI2gSTYe6ycSsPKDQFhpXOyilZV4yv+rgUIACBkAhI73YWpk5KHT3gokSBhG8csH28v6H3pdoF+21umxiSALU9aWOEYJy7ZMKKI9pOQ/3Ro5Cqf40QIQR0JWAkA/t2yviEq1KKUtPNQ2I9JVfTtb217NDiek/t8Pm/BRjRES5GzrUWWRvhorwACqnyxpgBAhAgogRjgrEg9fqBlydfNTDWEGfyBeXZ3Y/ubHU0OXzpE65tGbEDbqfxp8uvW94argbBzhuFNNjimA8CYSaQGzs8unDgDalj4qXbt4Zv3L71huPNhoq6T1vWtHnTNpzbSIdyx0YKP1s0tqIrnB2CnTsKabDFMR8EwkDAwAS6IunqxKsHXpOaYc70ePvWE8lbxyrrNjR/gkJ6HihGtMUUE/fgksuX9HnyxOfyCqCQyuuJ0SAQ1gJDooaav508PulbiVckxxriIuTCeOnAgj0He2pRIM4Byoitie1NfnzRzYvscpljHO8FUEi9t0JLCEDgLAKJEcnGK5OuTro44fKkNHN6jNxIR/rqun+//9n9co+rl/EERq8um1C5WDoCTi85aS0PFFKtrRjihYAKBKIMUcKliVclXJp4RXJ2zPA4RowpEVaXq9Ox5ODC/cdtDfimdQawtG8uCcKvyidUvKuEPcb0XgCF1HsrtIRAWAtIv3teOOCyAZcljU3OHzA6wchMfj045A2idLTZrq7tba8dWX601xUuR5t5I/NlG0bUKRB/eFnhqm3e90JLpQRQSJWSxbgQ0InA8Lj86CsSrk4ek3hxYrQQ7dNrK74S9It9rq3tnzevbfqwucXeHD5Hm/kGVW+MFO5fOraiwbduaK2UAAqpUrIYFwIaFpDO7JwwcFJKwcBr0xIjks1Kp9LU39i3sXVt02et1W0O0YHf+s4BzjjbxIzm+WXjy7qVXhOM770ACqn3VmgJgbAQkH7/nJf3yIhB5gzZHxw6HVC6fbuva1dHdctHTXu7anrCAjeAJBkT3sxy5/23pcjiCmAYdFVAAIVUAVQMCQEtC8zOvS9n1IALk5TKoV+0uf7V9llLdfOHTc24feuRmRETSeALyydUVXlsjAYhEUAhDQk7JoWAOgWSI1JMj41+/iIlomuxn+zb2Lqu6Z8t69rsoh23b71AZkR9TKRHy4qqNnjRHE1CJIBCGiJ4TAsBNQqMH3hN0vczpuTIFZubu8X93bs7NrSsad7TtQO3b32AZcQaBJPwMI5A8wEtRE1RSEMEj2khoEaBsckTEu/OvCc3oNgY8SO9dT3b2je1bm7f2N7n6sURaD6CMkYfR7ldz7xctBp/+fDRLhTNUUhDoY45IaBSgZzYvKh5w+eP9ic86dbt9o4tbZ+3rm9rdbTg1RU/EKVNFrjIfm8tqlzlR3d0CZEACmmI4DEtBHwVMDEjizCYBc459bl73b7297b9vcPnD8+NzYv3pn23q8uxs3Nr26aWT9uO2Ops3vRBm7MLMKLjxIRHygsqdsNIWwIopNpaL0QbJgLRhhhDVsywqKHRWdEZ0UOjB0VmRCdHDjR/tRXf0b667o9Pvt+4o3Or7MdlDY5Kj5yT80BefERi5Nm47aLdvbd7Z/uW1o1te7p2douE54YCvSwZ0VpmiHoa74cGKhma/iikoXHHrBD4WkA68Do7dlh0RlR2dEZUZvQgc3p0YmRyBOf8vPvXSu9hvtVQVf9pi/zHi8UYYw3fy5icPjxudEK8Kd7U4+p2He872ru147PWbe2bO7FpgjwXsHQrlxFbVFZYWSHPiBglFAIopKFQx5xhKSDdmk0zp0cOisowD4kaGp0RNTQqLSojOtYQ6/dxYyKJ4rO7H9nZ7mhT7CV9KW4nd+Frp/xXbaPBaHxk2dUrauQfGiMGUwCFNJjamCssBJIjUiPSo4ZEDoxMM6dFDYqUbskmGVPM8RGJEUqckrK26cPjfzn++omwwNVPkuvjIoWnFo2tkP3WvH6ItJMJCql21gqRqkhAuvWZYc40p5nTzanmtMjkiFSzVDATI5Ijjcyo2KkoZyPY2bmttbzupXoV8SCUcwu4DQJbvHR8xUqcH6qfywSFVD9riUyCIHBJwpUDJqRem5YVnavYGZy+plHTta217BAKqa9uwW7PONWRIDyFp3KDLa/8fCikyhtjBp0IXJd288Cb07+fSVw6DlI9/6xuWFEnbbunnogQyekC0l65jPEVQ5Ndf7SMWe2Ajv4EglpIpYcWGAvqXa9TK+YSnTwUj+gjX3n+wDBiFMHMhihjlGA2mAWz9L/GaCFCiDREClFCv7tPbLY39h/pq++XZ8ZvjjLYnBH58EjLGCV+4wwk5k5Hu/3Xex7b5eQ4eiwQRwX71huMRgseKFJQWAVDs9J1U7YoWWTSogZHfGfwXRmZUVkxcab4s76XprSDtN/nSfuJvi/at7R/fPJvTchXPnE1rO9X2TTYjvS82bDyyOHeQ7JvDDB16OyhlyV9e6B8coGP1OXqcrxc+5t9TfZGfMsJnFPWERgnzgSqiOlJeWXRzYvssg6OwVQnwLadqOl8uXbBASUeb5d+TyrOKs01MqNBLZkf7qvrQr7yrIYa19ch9rte2PerPXIXl3l58/NyYvIGyCPn/ygu7hRP2hv7trdvat3QtKbNzvuxj63/nMr05HSUOHvaWlS5XZkJMKraBFhbZy9f3/zRibePrTouZ3Bxhnjj/DHPjI4Wok1yjivHWMg3cEU1r29d78GuRbXP1Qae5b9HeGDEYyMyo3Pi5BzT01jSXwpO9J/oO25rsDXY6vuO9tb1Hbcd7VfyjoqnmPD5+QWYyFZxilhsLbIq9jMD1kB9AqcKqYu73I988ZPtcv4BvWHQbak3DLotU30pS7tCI99A10XN6yvt+PP4zp9tt7ltsn1bu2Xw99OuTbt5SKBu5+rf4+52nrQdlwpl3zHbkb763kN9cn+rVip2jEvS02fHiBmeLi9YuRUe4SdwqpBKaS/c98yuo7bDsv0tambOvJwx8d9KUisp8g1sZdS+votqF+yp663tCyzLf/dOjkgyPTTSMtosRBsDGdMh2t3tjtb+Fnuz/aT9hK2h93DfYdvBPiV3JgokXvT1RoCtTjSl/WHhuIWy/zbvzexoE3qBrwvp7/Y9XXPMdlS2H8Vn5Pw0+8L4S5JDn+LZI0C+ga2M2tfXUvPg9i5Xl6wnpIyIHRUzc9jP8kzMdN7f/KVt+zocbY42R0t/i6Op/6St0d5kP97f2H+iv93RqthWfoGtKHr7KsCI7TMwvmBpQdUOX/uivb4EThVS6W/Jj+z4qaw/jE8afMvAm9K+N1SNXMg38FVR8/pK52L+es9jewLP8psjSL8NXz/41rTM6OyYaEO0ocfd42qzN/c39Z+0N/U39jfaj9mb7Y12N5ftrrISaWDMQAQ4dRsM7OXM8SPetDALFjoQS530PVVIPz75/rG/nXizUc6cpGOg5o96ZnSccYDfG3LLGc/pYyHfwGXVur7StmtLDi7cv6erpifwLDECBP5TQGDsnQFxEYt+f4m1AzYQ+EqAfd6wpX3JoYUHlfgb9Oj4b8VOHzp7WKTBHNDvSnIuV233ng7kK4+o2tZXesr19aPL67e2b+qUJ0OMAoEvBRinPQI3LlhWhJNacE18U0DxnY0STSmmmwd/b3BWTHZMQkSyWWDB312tX7S7T/Yd69vWubltQ7P8Zzeezop85V9fzonc3Cn2iw7RJTrcDtEu2kWH2yn9v9su9rl6XXV9tT27O7/okvt3UfxHI7wFGFEnJ/ZSdsGIP+M2bnhfC+fLXvFCCnoIQAACWhOQdibixN6OcMa+tGTSEtzh0NoCBjleFNIgg2M6CEBA3QKMqMZAxgVLC1co8sCaurNHdP4IoJD6o4Y+EICAHgUaidMfywsr38VZoXpcXuVyQiFVzhYjQwACmhBgHUSsLDvF8QaOOdPEgqkuSBRS1S0JAoIABIIhwIj6GLGVzn5DxYobVvQGY07MoU8BFFJ9riuyggAEziXAmZOIr06IjyzD+6C4TOQQQCGVQxFjQAACqhdgxETG6K+iO+JP1iKrrBvQqD55BKioAAqporwYHAIQUIMAY/Qxd/NXrEWr6tUQD2LQlwAKqb7WE9lAAAL/IcA+M5LhJbzKgstCSQEUUiV1MTYEIBASAUbsU4FE67LCVdtCEgAmDSsBFNKwWm4kCwFdC7gZsQ8Fk/DqsnErD+g6UySnKgEUUlUtB4KBAAR8F2D9AuPvGMmwcknByhO+90cPCAQmgEIamB96QwACIRKQNpQnote5GPmatQjHmoVoGTCtdDpQybriLZCAAAQgoCGBRiZQRYJh0J8Xjlto01DcCFWnAiikOl1YpAUBvQkwooMC48sz3SP/bimyuPSWH/LRrgAKqXbXDpFDQPcCXx5nRv8UDPT6svGVn2Ized0vuSYTRCHV5LIhaAjoW4BxaieBveN2Gt9efu3yY/rOFtlpXQCFVOsriPghoCcBTluZwN40Rcd+suTyJU49pYZc9CuAQqrftUVmENCEACPqIWLvGsjw5tLCFXWaCBpBQuA0ARRSXA4QgEBIBBinPSSwN7IyI/5uybH2hyQITAoBGQRQSGVAxBAQgIC3AqyfEX3w/98+93jbC+0goGYBFFI1rw5ig4AOBKTjyzjRJiayD1wOYQ0O0dbBoiKF/xBAIcUFAQEIKCLAiHYJjL3vdBj/sfy65a2KTIJBIaACARRSFSwCQoCAXgQY0RHGhPc5j/igvLD8qF7yQh4QOJ8ACimuDwhAICABRqyFc/4hE4QPygsqdgc0GDpDQIMCKKQaXDSEDIHQC7BegWgNF8T3s8aP3GxhFjH0MSECCIRGAIU0NO6YFQKaE5C+eRKJGzg3rovrS9y06OZFds0lgYAhoIAACqkCqBgSAnoRYMQOcM6rDdxYvXTi8l3Y61YvK4s85BRAIZVTE2NBQOMCjMhFnG3lnKojDMI6HJSt8QVF+EERQCENCjMmgYCKBTh1M0afMhKqzaJj48tFq3tUHC1Cg4DqBFBIVbckCAgCygtIZ3tyTp8LRmP1UOew7Th/OcthAAACRElEQVTfU3lzzKBfARRS/a4tMoPA1wKMeAMR28xI2MxM5i3Lxi1rAw8EICCPAAqpPI4YBQKqEmDEmojxzcSEzdxl2mItsjaqKkAEAwEdCaCQ6mgxkUo4C7AOgWiLVDyNzLh5yYQVR8JZA7lDIJgCKKTB1MZcEJBJQPrGyTmvYQbaJhgMm5deteIgXk2RCRfDQMBHARRSH8HQHALBFmCcbMRoF2O0i0RWw4XImvKC8uZgx4H5IACBswugkOLKgICKBKQjx4joEJFYw0VWYyBDTebE4YewBZ+KFgmhQOAMARRSXBIQCKHAV7doBcZqBIF2xRnSdi8ct9AWwpAwNQQg4KMACqmPYGgOAf8EWC9xOsQYP8BFdlAwGQ4MiDEc+P0l1g7/xkMvCEBALQIopGpZCcShCwFpiz3OqY4xkh7+OUCMHzByw0FstaeL5UUSEDirAAopLgwI+CFwak9aYseIeB1jwgFRFA8amfHAEHHYUewS5AcoukBAwwIopBpePISusIC0By1RA2PsGBepQTDwBi4YG8wRhobUK7Kb8ACQwv4YHgIaEUAh1chCIUz5BRgnzhmdlIolEWsggR/jbmowMmODaDA1lI0v65Z/VowIAQjoTQCFVG8rinxOCTCiLsZYC3HezBm1ELFmgahF+nfRRS2iaGw2x5ublly+xAkyCEAAAoEIsJK1U/4ZyADoCwGlBRjjnHOyE1E/Y2QjYjZO1H6qMIrUQgJrFhi1MBKbRYG3DE10t1jGrHYoHRfGhwAEICAJ/C8H4nVciSkuqgAAAABJRU5ErkJggg==",ur="data:image/png;base64,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",Wf="data:image/png;base64,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E[0]=z*2*re,E[1]=0,E[2]=0,E[3]=0,E[4]=0,E[5]=z*2*ae,E[6]=0,E[7]=0,E[8]=(y+a)*re,E[9]=(b+x)*ae,E[10]=(ee+z)*se,E[11]=-1,E[12]=0,E[13]=0,E[14]=ee*z*2*se,E[15]=0,E}function JS(E,a,y,x,b){var z=1/Math.tan(a/2),ee;return E[0]=z/y,E[1]=0,E[2]=0,E[3]=0,E[4]=0,E[5]=z,E[6]=0,E[7]=0,E[8]=0,E[9]=0,E[11]=-1,E[12]=0,E[13]=0,E[15]=0,b!=null&&b!==1/0?(ee=1/(x-b),E[10]=(b+x)*ee,E[14]=2*b*x*ee):(E[10]=-1,E[14]=-2*x),E}var pO=JS;function yO(E,a,y,x,b){var z=1/Math.tan(a/2),ee;return E[0]=z/y,E[1]=0,E[2]=0,E[3]=0,E[4]=0,E[5]=z,E[6]=0,E[7]=0,E[8]=0,E[9]=0,E[11]=-1,E[12]=0,E[13]=0,E[15]=0,b!=null&&b!==1/0?(ee=1/(x-b),E[10]=b*ee,E[14]=b*x*ee):(E[10]=-1,E[14]=-x),E}function EO(E,a,y,x){var b=Math.tan(a.upDegrees*Math.PI/180),z=Math.tan(a.downDegrees*Math.PI/180),ee=Math.tan(a.leftDegrees*Math.PI/180),re=Math.tan(a.rightDegrees*Math.PI/180),ae=2/(ee+re),se=2/(b+z);return E[0]=ae,E[1]=0,E[2]=0,E[3]=0,E[4]=0,E[5]=se,E[6]=0,E[7]=0,E[8]=-((ee-re)*ae*.5),E[9]=(b-z)*se*.5,E[10]=x/(y-x),E[11]=-1,E[12]=0,E[13]=0,E[14]=x*y/(y-x),E[15]=0,E}function qS(E,a,y,x,b,z,ee){var re=1/(a-y),ae=1/(x-b),se=1/(z-ee);return E[0]=-2*re,E[1]=0,E[2]=0,E[3]=0,E[4]=0,E[5]=-2*ae,E[6]=0,E[7]=0,E[8]=0,E[9]=0,E[10]=2*se,E[11]=0,E[12]=(a+y)*re,E[13]=(b+x)*ae,E[14]=(ee+z)*se,E[15]=1,E}var $S=qS;function Sb(E,a,y,x,b,z,ee){var re=1/(a-y),ae=1/(x-b),se=1/(z-ee);return E[0]=-2*re,E[1]=0,E[2]=0,E[3]=0,E[4]=0,E[5]=-2*ae,E[6]=0,E[7]=0,E[8]=0,E[9]=0,E[10]=se,E[11]=0,E[12]=(a+y)*re,E[13]=(b+x)*ae,E[14]=z*se,E[15]=1,E}function Pb(E,a,y,x){var b,z,ee,re,ae,se,fe,me,Ae,Le,ke=a[0],We=a[1],je=a[2],Ke=x[0],Ze=x[1],Je=x[2],tt=y[0],at=y[1],st=y[2];return Math.abs(ke-tt)0&&(Le=1/Math.sqrt(Le),fe*=Le,me*=Le,Ae*=Le);var ke=ae*Ae-se*me,We=se*fe-re*Ae,je=re*me-ae*fe;return Le=ke*ke+We*We+je*je,Le>0&&(Le=1/Math.sqrt(Le),ke*=Le,We*=Le,je*=Le),E[0]=ke,E[1]=We,E[2]=je,E[3]=0,E[4]=me*je-Ae*We,E[5]=Ae*ke-fe*je,E[6]=fe*We-me*ke,E[7]=0,E[8]=fe,E[9]=me,E[10]=Ae,E[11]=0,E[12]=b,E[13]=z,E[14]=ee,E[15]=1,E}function xO(E){return"mat4("+E[0]+", "+E[1]+", "+E[2]+", "+E[3]+", "+E[4]+", "+E[5]+", "+E[6]+", "+E[7]+", "+E[8]+", "+E[9]+", "+E[10]+", "+E[11]+", "+E[12]+", "+E[13]+", "+E[14]+", "+E[15]+")"}function SO(E){return Math.hypot(E[0],E[1],E[2],E[3],E[4],E[5],E[6],E[7],E[8],E[9],E[10],E[11],E[12],E[13],E[14],E[15])}function bO(E,a,y){return E[0]=a[0]+y[0],E[1]=a[1]+y[1],E[2]=a[2]+y[2],E[3]=a[3]+y[3],E[4]=a[4]+y[4],E[5]=a[5]+y[5],E[6]=a[6]+y[6],E[7]=a[7]+y[7],E[8]=a[8]+y[8],E[9]=a[9]+y[9],E[10]=a[10]+y[10],E[11]=a[11]+y[11],E[12]=a[12]+y[12],E[13]=a[13]+y[13],E[14]=a[14]+y[14],E[15]=a[15]+y[15],E}function Mb(E,a,y){return E[0]=a[0]-y[0],E[1]=a[1]-y[1],E[2]=a[2]-y[2],E[3]=a[3]-y[3],E[4]=a[4]-y[4],E[5]=a[5]-y[5],E[6]=a[6]-y[6],E[7]=a[7]-y[7],E[8]=a[8]-y[8],E[9]=a[9]-y[9],E[10]=a[10]-y[10],E[11]=a[11]-y[11],E[12]=a[12]-y[12],E[13]=a[13]-y[13],E[14]=a[14]-y[14],E[15]=a[15]-y[15],E}function CO(E,a,y){return E[0]=a[0]*y,E[1]=a[1]*y,E[2]=a[2]*y,E[3]=a[3]*y,E[4]=a[4]*y,E[5]=a[5]*y,E[6]=a[6]*y,E[7]=a[7]*y,E[8]=a[8]*y,E[9]=a[9]*y,E[10]=a[10]*y,E[11]=a[11]*y,E[12]=a[12]*y,E[13]=a[13]*y,E[14]=a[14]*y,E[15]=a[15]*y,E}function PO(E,a,y,x){return E[0]=a[0]+y[0]*x,E[1]=a[1]+y[1]*x,E[2]=a[2]+y[2]*x,E[3]=a[3]+y[3]*x,E[4]=a[4]+y[4]*x,E[5]=a[5]+y[5]*x,E[6]=a[6]+y[6]*x,E[7]=a[7]+y[7]*x,E[8]=a[8]+y[8]*x,E[9]=a[9]+y[9]*x,E[10]=a[10]+y[10]*x,E[11]=a[11]+y[11]*x,E[12]=a[12]+y[12]*x,E[13]=a[13]+y[13]*x,E[14]=a[14]+y[14]*x,E[15]=a[15]+y[15]*x,E}function rE(E,a){return E[0]===a[0]&&E[1]===a[1]&&E[2]===a[2]&&E[3]===a[3]&&E[4]===a[4]&&E[5]===a[5]&&E[6]===a[6]&&E[7]===a[7]&&E[8]===a[8]&&E[9]===a[9]&&E[10]===a[10]&&E[11]===a[11]&&E[12]===a[12]&&E[13]===a[13]&&E[14]===a[14]&&E[15]===a[15]}function wO(E,a){var y=E[0],x=E[1],b=E[2],z=E[3],ee=E[4],re=E[5],ae=E[6],se=E[7],fe=E[8],me=E[9],Ae=E[10],Le=E[11],ke=E[12],We=E[13],je=E[14],Ke=E[15],Ze=a[0],Je=a[1],tt=a[2],at=a[3],st=a[4],dt=a[5],ut=a[6],wt=a[7],Bt=a[8],Ht=a[9],Qt=a[10],hn=a[11],on=a[12],Pn=a[13],Jn=a[14],pn=a[15];return 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ga!=Float32Array&&(E[1]=0,E[2]=0,E[3]=0,E[5]=0,E[6]=0,E[7]=0),E[0]=1,E[4]=1,E[8]=1,E}function DO(E,a){return E[0]=a[0],E[1]=a[1],E[2]=a[2],E[3]=a[4],E[4]=a[5],E[5]=a[6],E[6]=a[8],E[7]=a[9],E[8]=a[10],E}function vQ(E){var a=new glMatrix.ARRAY_TYPE(9);return a[0]=E[0],a[1]=E[1],a[2]=E[2],a[3]=E[3],a[4]=E[4],a[5]=E[5],a[6]=E[6],a[7]=E[7],a[8]=E[8],a}function mQ(E,a){return E[0]=a[0],E[1]=a[1],E[2]=a[2],E[3]=a[3],E[4]=a[4],E[5]=a[5],E[6]=a[6],E[7]=a[7],E[8]=a[8],E}function IO(E,a,y,x,b,z,ee,re,ae){var se=new ga(9);return se[0]=E,se[1]=a,se[2]=y,se[3]=x,se[4]=b,se[5]=z,se[6]=ee,se[7]=re,se[8]=ae,se}function pQ(E,a,y,x,b,z,ee,re,ae,se){return E[0]=a,E[1]=y,E[2]=x,E[3]=b,E[4]=z,E[5]=ee,E[6]=re,E[7]=ae,E[8]=se,E}function yQ(E){return E[0]=1,E[1]=0,E[2]=0,E[3]=0,E[4]=1,E[5]=0,E[6]=0,E[7]=0,E[8]=1,E}function EQ(E,a){if(E===a){var y=a[1],x=a[2],b=a[5];E[1]=a[3],E[2]=a[6],E[3]=y,E[5]=a[7],E[6]=x,E[7]=b}else E[0]=a[0],E[1]=a[3],E[2]=a[6],E[3]=a[1],E[4]=a[4],E[5]=a[7],E[6]=a[2],E[7]=a[5],E[8]=a[8];return E}function AQ(E,a){var y=a[0],x=a[1],b=a[2],z=a[3],ee=a[4],re=a[5],ae=a[6],se=a[7],fe=a[8],me=fe*ee-re*se,Ae=-fe*z+re*ae,Le=se*z-ee*ae,ke=y*me+x*Ae+b*Le;return ke?(ke=1/ke,E[0]=me*ke,E[1]=(-fe*x+b*se)*ke,E[2]=(re*x-b*ee)*ke,E[3]=Ae*ke,E[4]=(fe*y-b*ae)*ke,E[5]=(-re*y+b*z)*ke,E[6]=Le*ke,E[7]=(-se*y+x*ae)*ke,E[8]=(ee*y-x*z)*ke,E):null}function xQ(E,a){var y=a[0],x=a[1],b=a[2],z=a[3],ee=a[4],re=a[5],ae=a[6],se=a[7],fe=a[8];return E[0]=ee*fe-re*se,E[1]=b*se-x*fe,E[2]=x*re-b*ee,E[3]=re*ae-z*fe,E[4]=y*fe-b*ae,E[5]=b*z-y*re,E[6]=z*se-ee*ae,E[7]=x*ae-y*se,E[8]=y*ee-x*z,E}function SQ(E){var a=E[0],y=E[1],x=E[2],b=E[3],z=E[4],ee=E[5],re=E[6],ae=E[7],se=E[8];return a*(se*z-ee*ae)+y*(-se*b+ee*re)+x*(ae*b-z*re)}function bQ(E,a,y){var x=a[0],b=a[1],z=a[2],ee=a[3],re=a[4],ae=a[5],se=a[6],fe=a[7],me=a[8],Ae=y[0],Le=y[1],ke=y[2],We=y[3],je=y[4],Ke=y[5],Ze=y[6],Je=y[7],tt=y[8];return E[0]=Ae*x+Le*ee+ke*se,E[1]=Ae*b+Le*re+ke*fe,E[2]=Ae*z+Le*ae+ke*me,E[3]=We*x+je*ee+Ke*se,E[4]=We*b+je*re+Ke*fe,E[5]=We*z+je*ae+Ke*me,E[6]=Ze*x+Je*ee+tt*se,E[7]=Ze*b+Je*re+tt*fe,E[8]=Ze*z+Je*ae+tt*me,E}function CQ(E,a,y){var x=a[0],b=a[1],z=a[2],ee=a[3],re=a[4],ae=a[5],se=a[6],fe=a[7],me=a[8],Ae=y[0],Le=y[1];return E[0]=x,E[1]=b,E[2]=z,E[3]=ee,E[4]=re,E[5]=ae,E[6]=Ae*x+Le*ee+se,E[7]=Ae*b+Le*re+fe,E[8]=Ae*z+Le*ae+me,E}function PQ(E,a,y){var x=a[0],b=a[1],z=a[2],ee=a[3],re=a[4],ae=a[5],se=a[6],fe=a[7],me=a[8],Ae=Math.sin(y),Le=Math.cos(y);return E[0]=Le*x+Ae*ee,E[1]=Le*b+Ae*re,E[2]=Le*z+Ae*ae,E[3]=Le*ee-Ae*x,E[4]=Le*re-Ae*b,E[5]=Le*ae-Ae*z,E[6]=se,E[7]=fe,E[8]=me,E}function wQ(E,a,y){var x=y[0],b=y[1];return E[0]=x*a[0],E[1]=x*a[1],E[2]=x*a[2],E[3]=b*a[3],E[4]=b*a[4],E[5]=b*a[5],E[6]=a[6],E[7]=a[7],E[8]=a[8],E}function MQ(E,a){return E[0]=1,E[1]=0,E[2]=0,E[3]=0,E[4]=1,E[5]=0,E[6]=a[0],E[7]=a[1],E[8]=1,E}function DQ(E,a){var y=Math.sin(a),x=Math.cos(a);return 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to set a tracking mode if the camera is not of tracking type");return this.trackingMode=y,this}},{key:"setWorldRotation",value:function(y){return this.rotateWorld=y,this._getAngles(),this}},{key:"getViewTransform",value:function(){return Wu(Ri(),this.matrix)}},{key:"getWorldTransform",value:function(){return this.matrix}},{key:"jitterProjectionMatrix",value:function(y,x){var b=Jf(Ri(),[y,x,0]);this.jitteredProjectionMatrix=ju(Ri(),b,this.projectionMatrix)}},{key:"clearJitterProjectionMatrix",value:function(){this.jitteredProjectionMatrix=void 0}},{key:"setMatrix",value:function(y){return this.matrix=y,this._update(),this}},{key:"setProjectionMatrix",value:function(y){this.projectionMatrix=y}},{key:"setFov",value:function(y){return this.setPerspective(this.near,this.far,y,this.aspect),this}},{key:"setAspect",value:function(y){return this.setPerspective(this.near,this.far,this.fov,y),this}},{key:"setNear",value:function(y){return this.projectionMode===ad.PERSPECTIVE?this.setPerspective(y,this.far,this.fov,this.aspect):this.setOrthographic(this.left,this.rright,this.top,this.bottom,y,this.far),this}},{key:"setFar",value:function(y){return this.projectionMode===ad.PERSPECTIVE?this.setPerspective(this.near,y,this.fov,this.aspect):this.setOrthographic(this.left,this.rright,this.top,this.bottom,this.near,y),this}},{key:"setViewOffset",value:function(y,x,b,z,ee,re){return this.aspect=y/x,this.view===void 0&&(this.view={enabled:!0,fullWidth:1,fullHeight:1,offsetX:0,offsetY:0,width:1,height:1}),this.view.enabled=!0,this.view.fullWidth=y,this.view.fullHeight=x,this.view.offsetX=b,this.view.offsetY=z,this.view.width=ee,this.view.height=re,this.projectionMode===ad.PERSPECTIVE?this.setPerspective(this.near,this.far,this.fov,this.aspect):this.setOrthographic(this.left,this.rright,this.top,this.bottom,this.near,this.far),this}},{key:"clearViewOffset",value:function(){return this.view!==void 0&&(this.view.enabled=!1),this.projectionMode===ad.PERSPECTIVE?this.setPerspective(this.near,this.far,this.fov,this.aspect):this.setOrthographic(this.left,this.rright,this.top,this.bottom,this.near,this.far),this}},{key:"setZoom",value:function(y){return this.zoom=y,this.projectionMode===ad.ORTHOGRAPHIC?this.setOrthographic(this.left,this.rright,this.top,this.bottom,this.near,this.far):this.projectionMode===ad.PERSPECTIVE&&this.setPerspective(this.near,this.far,this.fov,this.aspect),this}},{key:"setZoomByViewportPoint",value:function(y,x){var b=this.canvas.viewport2Canvas({x:x[0],y:x[1]}),z=b.x,ee=b.y,re=this.roll;this.rotate(0,0,-re),this.setPosition(z,ee),this.setFocalPoint(z,ee),this.setZoom(y),this.rotate(0,0,re);var ae=this.canvas.viewport2Canvas({x:x[0],y:x[1]}),se=ae.x,fe=ae.y,me=lo(se-z,fe-ee,0),Ae=qu(me,this.right)/Ko(this.right),Le=qu(me,this.up)/Ko(this.up),ke=this.getPosition(),We=(0,zn.Z)(ke,2),je=We[0],Ke=We[1],Ze=this.getFocalPoint(),Je=(0,zn.Z)(Ze,2),tt=Je[0],at=Je[1];return this.setPosition(je-Ae,Ke-Le),this.setFocalPoint(tt-Ae,at-Le),this}},{key:"setPerspective",value:function(y,x,b,z){var ee;this.projectionMode=ad.PERSPECTIVE,this.fov=b,this.near=y,this.far=x,this.aspect=z;var re=this.near*Math.tan(nl(.5*this.fov))/this.zoom,ae=2*re,se=this.aspect*ae,fe=-.5*se;if((ee=this.view)!==null&&ee!==void 0&&ee.enabled){var me=this.view.fullWidth,Ae=this.view.fullHeight;fe+=this.view.offsetX*se/me,re-=this.view.offsetY*ae/Ae,se*=this.view.width/me,ae*=this.view.height/Ae}return lL(this.projectionMatrix,fe,fe+se,re-ae,re,y,this.far,this.clipSpaceNearZ===xm.ZERO),Wu(this.projectionMatrixInverse,this.projectionMatrix),this.triggerUpdate(),this}},{key:"setOrthographic",value:function(y,x,b,z,ee,re){var ae;this.projectionMode=ad.ORTHOGRAPHIC,this.rright=x,this.left=y,this.top=b,this.bottom=z,this.near=ee,this.far=re;var se=(this.rright-this.left)/(2*this.zoom),fe=(this.top-this.bottom)/(2*this.zoom),me=(this.rright+this.left)/2,Ae=(this.top+this.bottom)/2,Le=me-se,ke=me+se,We=Ae+fe,je=Ae-fe;if((ae=this.view)!==null&&ae!==void 0&&ae.enabled){var Ke=(this.rright-this.left)/this.view.fullWidth/this.zoom,Ze=(this.top-this.bottom)/this.view.fullHeight/this.zoom;Le+=Ke*this.view.offsetX,ke=Le+Ke*this.view.width,We-=Ze*this.view.offsetY,je=We-Ze*this.view.height}return this.clipSpaceNearZ===xm.NEGATIVE_ONE?$S(this.projectionMatrix,Le,ke,We,je,ee,re):Sb(this.projectionMatrix,Le,ke,We,je,ee,re),Wu(this.projectionMatrixInverse,this.projectionMatrix),this._getOrthoMatrix(),this.triggerUpdate(),this}},{key:"setPosition",value:function(y){var x=arguments.length>1&&arguments[1]!==void 0?arguments[1]:this.position[1],b=arguments.length>2&&arguments[2]!==void 0?arguments[2]:this.position[2],z=ec(y,x,b);return this._setPosition(z),this.setFocalPoint(this.focalPoint),this.triggerUpdate(),this}},{key:"setFocalPoint",value:function(y){var x=arguments.length>1&&arguments[1]!==void 0?arguments[1]:this.focalPoint[1],b=arguments.length>2&&arguments[2]!==void 0?arguments[2]:this.focalPoint[2],z=lo(0,1,0);if(this.focalPoint=ec(y,x,b),this.trackingMode===yE.CINEMATIC){var ee=ks(si(),this.focalPoint,this.position);y=ee[0],x=ee[1],b=ee[2];var re=Ko(ee),ae=vc(Math.asin(x/re)),se=90+vc(Math.atan2(b,y)),fe=Ri();KS(fe,fe,nl(se)),VS(fe,fe,nl(ae)),z=hl(si(),[0,1,0],fe)}return 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re&&js(re)&&(y.markerStartAngle=re.getLocalEulerAngles(),y.appendChild(re)),se&&js(se)&&y.placeMarkerMid(se),ae&&js(ae)&&(y.markerEndAngle=ae.getLocalEulerAngles(),y.appendChild(ae)),y.transformMarker(!0),y.transformMarker(!1),y}return(0,va.Z)(a,E),(0,$n.Z)(a,[{key:"attributeChangedCallback",value:function(x,b,z,ee,re){x==="d"?(this.transformMarker(!0),this.transformMarker(!1),this.placeMarkerMid(this.parsedStyle.markerMid)):x==="markerStartOffset"||x==="markerEndOffset"?(this.transformMarker(!0),this.transformMarker(!1)):x==="markerStart"?(ee&&js(ee)&&(this.markerStartAngle=0,ee.remove()),re&&js(re)&&(this.markerStartAngle=re.getLocalEulerAngles(),this.appendChild(re),this.transformMarker(!0))):x==="markerEnd"?(ee&&js(ee)&&(this.markerEndAngle=0,ee.remove()),re&&js(re)&&(this.markerEndAngle=re.getLocalEulerAngles(),this.appendChild(re),this.transformMarker(!1))):x==="markerMid"&&this.placeMarkerMid(re)}},{key:"transformMarker",value:function(x){var b=this.parsedStyle,z=b.markerStart,ee=b.markerEnd,re=b.markerStartOffset,ae=b.markerEndOffset,se=x?z:ee;if(!(!se||!js(se))){var fe=0,me,Ae,Le,ke,We,je;if(x){var Ke=this.getStartTangent(),Ze=(0,zn.Z)(Ke,2),Je=Ze[0],tt=Ze[1];Le=tt[0],ke=tt[1],me=Je[0]-tt[0],Ae=Je[1]-tt[1],We=re||0,je=this.markerStartAngle}else{var at=this.getEndTangent(),st=(0,zn.Z)(at,2),dt=st[0],ut=st[1];Le=ut[0],ke=ut[1],me=dt[0]-ut[0],Ae=dt[1]-ut[1],We=ae||0,je=this.markerEndAngle}fe=Math.atan2(Ae,me),se.setLocalEulerAngles(fe*180/Math.PI+je),se.setLocalPosition(Le+Math.cos(fe)*We,ke+Math.sin(fe)*We)}}},{key:"placeMarkerMid",value:function(x){var b=this.parsedStyle.d.segments;if(this.markerMidList.forEach(function(fe){fe.remove()}),x&&js(x))for(var z=1;z1&&arguments[1]!==void 0?arguments[1]:!1,z=this.parsedStyle.d.absolutePath,ee=bT(z,x),re=ee.x,ae=ee.y,se=hl(si(),lo(re,ae,0),b?this.getWorldTransform():this.getLocalTransform());return new Du(se[0],se[1])}},{key:"getPoint",value:function(x){var 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re&&js(re)&&(y.markerStartAngle=re.getLocalEulerAngles(),y.appendChild(re)),se&&js(se)&&y.placeMarkerMid(se),ae&&js(ae)&&(y.markerEndAngle=ae.getLocalEulerAngles(),y.appendChild(ae)),y.transformMarker(!0),y.transformMarker(!1),y}return(0,va.Z)(a,E),(0,$n.Z)(a,[{key:"attributeChangedCallback",value:function(x,b,z,ee,re){x==="points"?(this.transformMarker(!0),this.transformMarker(!1),this.placeMarkerMid(this.parsedStyle.markerMid)):x==="markerStartOffset"||x==="markerEndOffset"?(this.transformMarker(!0),this.transformMarker(!1)):x==="markerStart"?(ee&&js(ee)&&(this.markerStartAngle=0,ee.remove()),re&&js(re)&&(this.markerStartAngle=re.getLocalEulerAngles(),this.appendChild(re),this.transformMarker(!0))):x==="markerEnd"?(ee&&js(ee)&&(this.markerEndAngle=0,ee.remove()),re&&js(re)&&(this.markerEndAngle=re.getLocalEulerAngles(),this.appendChild(re),this.transformMarker(!1))):x==="markerMid"&&this.placeMarkerMid(re)}},{key:"transformMarker",value:function(x){var 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E.READY="ready",E.BEFORE_RENDER="beforerender",E.RERENDER="rerender",E.AFTER_RENDER="afterrender",E.BEFORE_DESTROY="beforedestroy",E.AFTER_DESTROY="afterdestroy",E.RESIZE="resize",E.DIRTY_RECTANGLE="dirtyrectangle",E.RENDERER_CHANGED="rendererchanged",E}({}),TP=500,bN=.1,CN=1e3,jm=new nu(ys.MOUNTED),Gm=new nu(ys.UNMOUNTED),QE=new nu(Fc.BEFORE_RENDER),LP=new nu(Fc.RERENDER),YE=new nu(Fc.AFTER_RENDER),XE=function(E){function a(y){var x;(0,mr.Z)(this,a),x=Lr(this,a),x.Element=gl,x.inited=!1,x.context={};var b=y.container,z=y.canvas,ee=y.renderer,re=y.width,ae=y.height,se=y.background,fe=y.cursor,me=y.supportsMutipleCanvasesInOneContainer,Ae=y.cleanUpOnDestroy,Le=Ae===void 0?!0:Ae,ke=y.offscreenCanvas,We=y.devicePixelRatio,je=y.requestAnimationFrame,Ke=y.cancelAnimationFrame,Ze=y.createImage,Je=y.supportsTouchEvents,tt=y.supportsPointerEvents,at=y.isTouchEvent,st=y.isMouseEvent,dt=y.dblClickSpeed,ut=re,wt=ae,Bt=We||kE&&window.devicePixelRatio||1;return 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MP,x.document.defaultView=x,me||JB(b,x,Le),x.initRenderingContext((0,Sr.Z)((0,Sr.Z)({},y),{},{width:ut,height:wt,background:se!=null?se:"transparent",cursor:fe!=null?fe:"default",cleanUpOnDestroy:Le,devicePixelRatio:Bt,requestAnimationFrame:x.requestAnimationFrame,cancelAnimationFrame:x.cancelAnimationFrame,supportsTouchEvents:x.supportsTouchEvents,supportsPointerEvents:x.supportsPointerEvents,isTouchEvent:x.isTouchEvent,isMouseEvent:x.isMouseEvent,dblClickSpeed:dt!=null?dt:200,createImage:Ze!=null?Ze:function(){return new window.Image}})),x.initDefaultCamera(ut,wt,ee.clipSpaceNearZ),x.initRenderer(ee,!0),x}return(0,va.Z)(a,E),(0,$n.Z)(a,[{key:"initRenderingContext",value:function(x){this.context.config=x,this.context.renderingContext={root:this.document.documentElement,renderListCurrentFrame:[],unculledEntities:[],renderReasons:new Set,force:!1,dirty:!1}}},{key:"initDefaultCamera",value:function(x,b,z){var ee=this,re=new Ya.CameraContribution;re.clipSpaceNearZ=z,re.setType(rl.EXPLORING,yE.DEFAULT).setPosition(x/2,b/2,TP).setFocalPoint(x/2,b/2,0).setOrthographic(x/-2,x/2,b/2,b/-2,bN,CN),re.canvas=this,re.eventEmitter.on(xC.UPDATED,function(){ee.context.renderingContext.renderReasons.add(o0.CAMERA_CHANGED),Ya.enableSizeAttenuation&&ee.getConfig().renderer.getConfig().enableSizeAttenuation&&ee.updateSizeAttenuation()}),this.context.camera=re}},{key:"updateSizeAttenuation",value:function(){var x=this.getCamera().getZoom();this.document.documentElement.forEach(function(b){Ya.styleValueRegistry.updateSizeAttenuation(b,x)})}},{key:"getConfig",value:function(){return this.context.config}},{key:"getRoot",value:function(){return this.document.documentElement}},{key:"getCamera",value:function(){return this.context.camera}},{key:"getContextService",value:function(){return this.context.contextService}},{key:"getEventService",value:function(){return this.context.eventService}},{key:"getRenderingService",value:function(){return this.context.renderingService}},{key:"getRenderingContext",value:function(){return this.context.renderingContext}},{key:"getStats",value:function(){return this.getRenderingService().getStats()}},{key:"ready",get:function(){var x=this;return this.readyPromise||(this.readyPromise=new Promise(function(b){x.resolveReadyPromise=function(){b(x)}}),this.inited&&this.resolveReadyPromise()),this.readyPromise}},{key:"destroy",value:function(){var x=arguments.length>0&&arguments[0]!==void 0?arguments[0]:!0,b=arguments.length>1?arguments[1]:void 0;tu.clearCache(),b||this.dispatchEvent(new nu(Fc.BEFORE_DESTROY)),this.frameId&&this.cancelAnimationFrame(this.frameId);var z=this.getRoot();x&&(this.unmountChildren(z),this.document.destroy(),this.getEventService().destroy()),this.getRenderingService().destroy(),this.getContextService().destroy(),this.context.rBushRoot&&this.context.rBushRoot.clear(),b||this.dispatchEvent(new nu(Fc.AFTER_DESTROY));var ee=function(ae){ae.currentTarget=null,ae.manager=null,ae.target=null,ae.relatedNode=null};ee(jm),ee(Gm),ee(QE),ee(LP),ee(YE),ee(af),ee(VE),ee(KE),ee(wP)}},{key:"changeSize",value:function(x,b){this.resize(x,b)}},{key:"resize",value:function(x,b){var z=this.context.config;z.width=x,z.height=b,this.getContextService().resize(x,b);var ee=this.context.camera,re=ee.getProjectionMode();ee.setPosition(x/2,b/2,TP).setFocalPoint(x/2,b/2,0),re===ad.ORTHOGRAPHIC?ee.setOrthographic(x/-2,x/2,b/2,b/-2,ee.getNear(),ee.getFar()):ee.setAspect(x/b),this.dispatchEvent(new nu(Fc.RESIZE,{width:x,height:b}))}},{key:"appendChild",value:function(x,b){return this.document.documentElement.appendChild(x,b)}},{key:"insertBefore",value:function(x,b){return this.document.documentElement.insertBefore(x,b)}},{key:"removeChild",value:function(x){return this.document.documentElement.removeChild(x)}},{key:"removeChildren",value:function(){this.document.documentElement.removeChildren()}},{key:"destroyChildren",value:function(){this.document.documentElement.destroyChildren()}},{key:"render",value:function(x){var b=this;x&&(QE.detail=x,YE.detail=x),this.dispatchEvent(QE);var z=this.getRenderingService();z.render(this.getConfig(),x,function(){b.dispatchEvent(LP)}),this.dispatchEvent(YE)}},{key:"run",value:function(){var x=this,b=function(ee,re){x.render(re),x.frameId=x.requestAnimationFrame(b)};b()}},{key:"initRenderer",value:function(x){var b=this,z=arguments.length>1&&arguments[1]!==void 0?arguments[1]:!1;if(!x)throw new Error("Renderer is required.");this.inited=!1,this.readyPromise=void 0,this.context.rBushRoot=new QT,this.context.renderingPlugins=[],this.context.renderingPlugins.push(new IP,new OP,new DP([new SN])),this.loadRendererContainerModule(x),this.context.contextService=new this.context.ContextService((0,Sr.Z)((0,Sr.Z)({},Ya),this.context)),this.context.renderingService=new k6(Ya,this.context),this.context.eventService=new F6(Ya,this.context),this.context.eventService.init(),this.context.contextService.init?(this.context.contextService.init(),this.initRenderingService(x,z,!0)):this.context.contextService.initAsync().then(function(){b.initRenderingService(x,z)}).catch(function(ee){console.error(ee)})}},{key:"initRenderingService",value:function(x){var b=this,z=arguments.length>1&&arguments[1]!==void 0?arguments[1]:!1,ee=arguments.length>2&&arguments[2]!==void 0?arguments[2]:!1;this.context.renderingService.init(function(){b.inited=!0,z?ee?b.requestAnimationFrame(function(){b.dispatchEvent(new nu(Fc.READY))}):b.dispatchEvent(new nu(Fc.READY)):b.dispatchEvent(new nu(Fc.RENDERER_CHANGED)),b.readyPromise&&b.resolveReadyPromise(),z||b.getRoot().forEach(function(re){var ae=re,se=ae.renderable;se&&(se.renderBoundsDirty=!0,se.boundsDirty=!0,se.dirty=!0)}),b.mountChildren(b.getRoot()),x.getConfig().enableAutoRendering&&b.run()})}},{key:"loadRendererContainerModule",value:function(x){var b=this,z=x.getPlugins();z.forEach(function(ee){ee.context=b.context,ee.init(Ya)})}},{key:"setRenderer",value:function(x){var b=this.getConfig();if(b.renderer!==x){var z=b.renderer;b.renderer=x,this.destroy(!1,!0),(0,fa.Z)((z==null?void 0:z.getPlugins())||[]).reverse().forEach(function(ee){ee.destroy(Ya)}),this.initRenderer(x)}}},{key:"setCursor",value:function(x){var b=this.getConfig();b.cursor=x,this.getContextService().applyCursorStyle(x)}},{key:"unmountChildren",value:function(x){var b=this;x.childNodes.forEach(function(z){b.unmountChildren(z)}),this.inited&&(x.isMutationObserved?x.dispatchEvent(Gm):(Gm.target=x,this.dispatchEvent(Gm,!0)),x!==this.document.documentElement&&(x.ownerDocument=null),x.isConnected=!1),x.isCustomElement&&x.disconnectedCallback&&x.disconnectedCallback()}},{key:"mountChildren",value:function(x){var b=this,z=arguments.length>1&&arguments[1]!==void 0?arguments[1]:Rm(x);this.inited?x.isConnected||(x.ownerDocument=this.document,x.isConnected=!0,z||(x.isMutationObserved?x.dispatchEvent(jm):(jm.target=x,this.dispatchEvent(jm,!0)))):console.warn("[g]: You are trying to call `canvas.appendChild` before canvas' initialization finished. You can either await `canvas.ready` or listen to `CanvasEvent.READY` manually.","appended child: ",x.nodeName),x.childNodes.forEach(function(ee){b.mountChildren(ee,z)}),x.isCustomElement&&x.connectedCallback&&x.connectedCallback()}},{key:"mountFragment",value:function(x){this.mountChildren(x,!1)}},{key:"client2Viewport",value:function(x){return this.getEventService().client2Viewport(x)}},{key:"viewport2Client",value:function(x){return this.getEventService().viewport2Client(x)}},{key:"viewport2Canvas",value:function(x){return this.getEventService().viewport2Canvas(x)}},{key:"canvas2Viewport",value:function(x){return this.getEventService().canvas2Viewport(x)}},{key:"getPointByClient",value:function(x,b){return this.client2Viewport({x,y:b})}},{key:"getClientByPoint",value:function(x,b){return this.viewport2Client({x,y:b})}}])}(AP);var PN=function(E){function a(){var y;(0,mr.Z)(this,a);for(var x=arguments.length,b=new Array(x),z=0;z90)return this;this.computeMatrix()}return this._getAxes(),this.type===rl.ORBITING||this.type===rl.EXPLORING?this._getPosition():this.type===rl.TRACKING&&this._getFocalPoint(),this._update(),this}},{key:"pan",value:function(x,b){var z=ec(x,b,0),ee=po(this.position);return Ps(ee,ee,Ss(si(),this.right,z[0])),Ps(ee,ee,Ss(si(),this.up,z[1])),this._setPosition(ee),this.triggerUpdate(),this}},{key:"dolly",value:function(x){var b=this.forward,z=po(this.position),ee=x*this.dollyingStep,re=this.distance+x*this.dollyingStep;return ee=Math.max(Math.min(re,this.maxDistance),this.minDistance)-this.distance,z[0]+=ee*b[0],z[1]+=ee*b[1],z[2]+=ee*b[2],this._setPosition(z),this.type===rl.ORBITING||this.type===rl.EXPLORING?this._getDistance():this.type===rl.TRACKING&&Ps(this.focalPoint,z,this.distanceVector),this.triggerUpdate(),this}},{key:"cancelLandmarkAnimation",value:function(){this.landmarkAnimationID!==void 0&&this.canvas.cancelAnimationFrame(this.landmarkAnimationID)}},{key:"createLandmark",value:function(x){var b,z,ee,re,ae=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{},se=ae.position,fe=se===void 0?this.position:se,me=ae.focalPoint,Ae=me===void 0?this.focalPoint:me,Le=ae.roll,ke=ae.zoom,We=new Ya.CameraContribution;We.setType(this.type,void 0),We.setPosition(fe[0],(b=fe[1])!==null&&b!==void 0?b:this.position[1],(z=fe[2])!==null&&z!==void 0?z:this.position[2]),We.setFocalPoint(Ae[0],(ee=Ae[1])!==null&&ee!==void 0?ee:this.focalPoint[1],(re=Ae[2])!==null&&re!==void 0?re:this.focalPoint[2]),We.setRoll(Le!=null?Le:this.roll),We.setZoom(ke!=null?ke:this.zoom);var je={name:x,matrix:Os(We.getWorldTransform()),right:po(We.right),up:po(We.up),forward:po(We.forward),position:po(We.getPosition()),focalPoint:po(We.getFocalPoint()),distanceVector:po(We.getDistanceVector()),distance:We.getDistance(),dollyingStep:We.getDollyingStep(),azimuth:We.getAzimuth(),elevation:We.getElevation(),roll:We.getRoll(),relAzimuth:We.relAzimuth,relElevation:We.relElevation,relRoll:We.relRoll,zoom:We.getZoom()};return this.landmarks.push(je),je}},{key:"gotoLandmark",value:function(x){var b=this,z=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{},ee=Ws(x)?this.landmarks.find(function(Ht){return Ht.name===x}):x;if(ee){var re=ji(z)?{duration:z}:z,ae=re.easing,se=ae===void 0?"linear":ae,fe=re.duration,me=fe===void 0?100:fe,Ae=re.easingFunction,Le=Ae===void 0?void 0:Ae,ke=re.onfinish,We=ke===void 0?void 0:ke,je=re.onframe,Ke=je===void 0?void 0:je,Ze=.01;this.cancelLandmarkAnimation();var Je=ee.position,tt=ee.focalPoint,at=ee.zoom,st=ee.roll,dt=Le||Ya.EasingFunction(se),ut,wt=function(){b.setFocalPoint(tt),b.setPosition(Je),b.setRoll(st),b.setZoom(at),b.computeMatrix(),b.triggerUpdate(),We==null||We()};if(me===0)return wt();var Bt=function(Qt){ut===void 0&&(ut=Qt);var hn=Qt-ut;if(hn>=me){wt();return}var on=dt(hn/me),Pn=si(),Jn=si(),pn=1,yn=0;zh(Pn,b.focalPoint,tt,on),zh(Jn,b.position,Je,on),yn=b.roll*(1-on)+st*on,pn=b.zoom*(1-on)+at*on,b.setFocalPoint(Pn),b.setPosition(Jn),b.setRoll(yn),b.setZoom(pn);var Cn=xf(Pn,tt)+xf(Jn,Je);if(Cn<=Ze&&at===void 0&&st===void 0)return wt();b.computeMatrix(),b.triggerUpdate(),hn0&&Number(this._currentTime)>=this._totalDuration||this._playbackRate<0&&Number(this._currentTime)<=0)}},{key:"totalDuration",get:function(){return this._totalDuration}},{key:"_needsTick",get:function(){return this.pending||this.playState==="running"||!this._finishedFlag}},{key:"updatePromises",value:function(){var y;if((y=this.effect.target)!==null&&y!==void 0&&y.destroyed)return this.readyPromise=void 0,this.finishedPromise=void 0,!1;var x=this.oldPlayState,b=this.pending?"pending":this.playState;return this.readyPromise&&b!==x&&(b==="idle"?(this.rejectReadyPromise(),this.readyPromise=void 0):x==="pending"?this.resolveReadyPromise():b==="pending"&&(this.readyPromise=void 0)),this.finishedPromise&&b!==x&&(b==="idle"?(this.rejectFinishedPromise(),this.finishedPromise=void 0):b==="finished"?this.resolveFinishedPromise():x==="finished"&&(this.finishedPromise=void 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y=this;if(this.updatePromises(),!!this._inEffect&&(this._inEffect=!1,this._idle=!0,this._paused=!1,this._finishedFlag=!0,this._currentTime=0,this._startTime=null,this.effect.update(null),this.timeline.applyDirtiedAnimation(this),this.updatePromises(),this.oncancel)){var x=new eA(null,this,this.currentTime,null);setTimeout(function(){y.oncancel(x)})}}},{key:"reverse",value:function(){this.updatePromises();var y=this.currentTime;this.playbackRate*=-1,this.play(),y!==null&&(this.currentTime=y),this.updatePromises()}},{key:"updatePlaybackRate",value:function(y){this.playbackRate=y}},{key:"targetAnimations",value:function(){var y,x=(y=this.effect)===null||y===void 0?void 0:y.target;return x.getAnimations()}},{key:"markTarget",value:function(){var y=this.targetAnimations();y.indexOf(this)===-1&&y.push(this)}},{key:"unmarkTarget",value:function(){var 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Tl=An[is]?An[is]:c8(a,zi,Ji,We,gs,st,ar,ee,re,An,Bt),Rs="".concat(gr.id,"-").concat(Ms),Ru=ka[Rs][ka[Rs].length-1];if(Tl=0;gs--){var Cc=bc(gs);if(Cc==="break")break}if(To)return co.splice(Sa,1),"continue";_a.edges=Eo;var Tl=vp(_a,_a.nodes[0].id,!1).length;if(Object.keys(Tl).reverse().forEach(function(Hs){if(!(Hs===_a.nodes[0].id||To)){if(Tl[Hs]===1/0){var Ys=Ma[Hs].node[ee];if(Yi[Ys]--,Yi[Ys]ro[Cl][ro[Cl].length-1]){var Ys=Ma[Hs].node[ee];if(Yi[Ys]--,Yi[Ys]=0;ao--){var zo=_a.nodes[ao],Yo=Ma[zo.id].degree,Io=Ma[zo.id].inDegree,Wl=Ma[zo.id].outDegree,Kc=zo[ee],vd=W2(Tr,Kc,Ze,Je),Rg=vd.minPatternNodeLabelDegree,Ih=vd.minPatternNodeLabelInDegree,R0=vd.minPatternNodeLabelOutDegree,Oh=x?Yo=0;sc--){var Pc=Eo[sc];if(!Ma[Pc.source]||!Ma[Pc.target]){Eo.splice(sc,1);var lc=Pc[re];if(Ji[lc]--,Ma[Pc.source]&&(Ma[Pc.source].degree--,Ma[Pc.source].outDegree--),Ma[Pc.target]&&(Ma[Pc.target].degree--,Ma[Pc.target].inDegree--),tt[lc]&&Ji[lc]=0;Co--){var cs=oo(Co);if(cs==="break")break}for(var 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0)return`${E.source}-${E.target}`;throw new Error(Of("The datum does not have available id."))}function Sp(E){return E.combo}function j2(E,a){const y={nodes:(E.nodes||[]).map(Nr),edges:(E.edges||[]).map(Nr),combos:(E.combos||[]).map(Nr)};return a?Object.values(y).flat():y}const G2=(E,a,y)=>{var x;switch(y.type){case"degree":{const b=new Map;return(x=E.nodes)===null||x===void 0||x.forEach(z=>{const ee=a(Nr(z),y.direction).length;b.set(Nr(z),ee)}),b}case"betweenness":return m8(E,y.directed,y.weightPropertyName);case"closeness":return p8(E,y.directed,y.weightPropertyName);case"eigenvector":return E8(E,y.directed);case"pagerank":return y8(E,y.epsilon,y.linkProb);default:return H2(E)}},H2=E=>{var a;const y=new Map;return(a=E.nodes)===null||a===void 0||a.forEach(x=>{y.set(Nr(x),0)}),y},m8=(E,a,y)=>{const x=H2(E),{nodes:b=[]}=E;return 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y=S8(this.context.graph,this.category,a),{enter:x,update:b,exit:z,keep:ee}=ch(this.extensions,y,re=>re.key);this.createExtensions(x),this.updateExtensions([...b,...ee]),this.destroyExtensions(z),this.extensions=y}createExtension(a){const{category:y}=this,{key:x,type:b}=a,z=If(y,b);if(!z)return Ac.warn(`The extension ${b} of ${y} is not registered.`);const ee=new z(this.context,a);ee.initialized=!0,this.extensionMap[x]=ee}createExtensions(a){a.forEach(y=>this.createExtension(y))}updateExtension(a){const{key:y}=a,x=this.extensionMap[y];x&&x.update(a)}updateExtensions(a){a.forEach(y=>this.updateExtension(y))}destroyExtension(a){const y=this.extensionMap[a];y&&(y.initialized&&!y.destroyed&&y.destroy(),delete this.extensionMap[a])}destroyExtensions(a){a.forEach(({key:y})=>this.destroyExtension(y))}destroy(){this.destroyExtensions(this.extensions),this.context={},this.extensions=[],this.extensionMap={}}}class CA{constructor(a,y){this.events=[],this.initialized=!1,this.destroyed=!1,this.context=a,this.options=y}update(a){this.options=Object.assign(this.options,a)}destroy(){this.context={},this.options={},this.destroyed=!0}}class _c extends CA{}class bp extends _c{constructor(a,y){super(a,Object.assign({},bp.defaultOptions,y)),this.isOverlapping=(x,b)=>b.some(z=>x.intersects(z)),this.occupiedBounds=[],this.detectLabelCollision=x=>{const b=this.context.viewport,z={show:[],hide:[]};return this.occupiedBounds=[],x.forEach(ee=>{const re=ee.getShape("label").getRenderBounds();b.isInViewport(re,!0)&&!this.isOverlapping(re,this.occupiedBounds)?(z.show.push(ee),this.occupiedBounds.push(uh(re,this.options.padding))):z.hide.push(ee)}),z},this.hideLabelIfExceedViewport=(x,b)=>{const{exit:z}=ch(x,b,ee=>ee.id);z==null||z.forEach(this.hideLabel)},this.nodeCentralities=new Map,this.sortNodesByCentrality=(x,b)=>{const{model:z}=this.context,ee=z.getData(),re=z.getRelatedEdgesData.bind(z);return x.map(se=>(this.nodeCentralities.has(se.id)||(this.nodeCentralities=G2(ee,re,b)),{node:se,centrality:this.nodeCentralities.get(se.id)})).sort((se,fe)=>fe.centrality-se.centrality).map(se=>se.node)},this.sortLabelElementsInView=x=>{const{sort:b,sortNode:z,sortCombo:ee,sortEdge:re}=this.options,{model:ae}=this.context;if(qi(b))return x.sort((We,je)=>b(ae.getElementDataById(We.id),ae.getElementDataById(je.id)));const{node:se=[],edge:fe=[],combo:me=[]}=lp(x,We=>We.type),Ae=qi(ee)?me.sort((We,je)=>ee(...ae.getComboData([We.id,je.id]))):me,Le=qi(z)?se.sort((We,je)=>z(...ae.getNodeData([We.id,je.id]))):this.sortNodesByCentrality(se,z),ke=qi(re)?fe.sort((We,je)=>re(...ae.getEdgeData([We.id,je.id]))):fe;return[...Ae,...Le,...ke]},this.labelElementsInView=[],this.isFirstRender=!0,this.onToggleVisibility=x=>{var b;if(((b=x.data)===null||b===void 0?void 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fh(E,a,y,x=!1){if(Zl(E,a))return E;const b=x?il(E,a):il(a,E),z=Tf(b),ee=[z[0]*y,z[1]*y];return es(mg(E),ee)}function J2(E,a){return E[1]===a[1]}function O8(E,a){return E[0]===a[0]}function T8(E,a){return J2(E,a)||O8(E,a)}function q2(E,a,y){return Q2([E,a],[a,y])}function $2(E,a){return[2*a[0]-E[0],2*a[1]-E[1]]}function ew(E,a,y,x=!0,b=!1){for(let z=0;zz!=Le>z&&b<(Ae-fe)*(z-me)/(Le-me)+fe&&(ee=!ee)}return ee}function B8(E,a,y=!1){const x=Lf(a,"center"),b=[Lf(a,"left-top"),Lf(a,"right-top"),Lf(a,"right-bottom"),Lf(a,"left-bottom")];return ew(E,x,b,!1,y).point}function wp(E,a,y=!1){const x=a.center,b=y?$2(E,x):E,z=il(b,a.center),ee=Math.atan2(z[1],z[0]);if(isNaN(ee))return x;const re=sf(a)/2,ae=lf(a)/2,se=x[0]+re*Math.cos(ee),fe=x[1]+ae*Math.sin(ee);return[se,fe]}function N8(E,a){let y=1/0,x=[E[0],a[0]];return E.forEach(b=>{a.forEach(z=>{const ee=vl(b,z);ee{const z=F8(E,b);z1?fe=1:fe<0&&(fe=0);const me=y+fe*ae,Ae=x+fe*se;return[me,Ae]}function k8(E){const a=E.reduce((y,x)=>es(y,x),[0,0]);return Nd(a,E.length)}function DA(E,a=!0){const y=k8(E);return E.sort(([x,b],[z,ee])=>{const re=Math.atan2(b-y[1],x-y[0]),ae=Math.atan2(ee-y[1],z-y[0]);return a?ae-re:re-ae})}function nw(E,a){return[E,[E[0],a[1]],a,[a[0],E[1]]]}class Ql{constructor(a,y,x){if(this.phase=y,this.pointerByTouch=[],this.initialDistance=null,this.emitter=a,Ql.instance)return Ql.callbacks[this.phase].push(x),Ql.instance;this.onPointerDown=this.onPointerDown.bind(this),this.onPointerMove=this.onPointerMove.bind(this),this.onPointerUp=this.onPointerUp.bind(this),this.bindEvents(),Ql.instance=this,Ql.callbacks[this.phase].push(x)}bindEvents(){const{emitter:a}=this;a.on(Ea.POINTER_DOWN,this.onPointerDown),a.on(Ea.POINTER_MOVE,this.onPointerMove),a.on(Ea.POINTER_UP,this.onPointerUp)}updatePointerPosition(a,y,x){const b=this.pointerByTouch.findIndex(z=>z.pointerId===a);b>=0&&(this.pointerByTouch[b]={x:y,y:x,pointerId:a})}onPointerDown(a){const{x:y,y:x}=a.client||{};if(!(y===void 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0||y.tryDestroy()}destroy(){this.emitter.off(Ea.POINTER_DOWN,this.onPointerDown),this.emitter.off(Ea.POINTER_MOVE,this.onPointerMove),this.emitter.off(Ea.POINTER_UP,this.onPointerUp),Ql.instance=null}off(a,y){const x=Ql.callbacks[a].indexOf(y);x>-1&&Ql.callbacks[a].splice(x,1),this.tryDestroy()}tryDestroy(){Object.values(Ql.callbacks).every(a=>a.length===0)&&this.destroy()}}Ql.isPinching=!1,Ql.instance=null,Ql.callbacks={pinchstart:[],pinchmove:[],pinchend:[]};const rw=E=>E.map(a=>Ws(a)?a.toLocaleLowerCase():a);class f0{constructor(a){this.map=new Map,this.boundHandlePinch=()=>{},this.recordKey=new Set,this.onKeyDown=y=>{y!=null&&y.key&&(this.recordKey.add(y.key),this.trigger(y))},this.onKeyUp=y=>{y!=null&&y.key&&this.recordKey.delete(y.key)},this.onWheel=y=>{this.triggerExtendKey(Ea.WHEEL,y)},this.onDrag=y=>{this.triggerExtendKey(Ea.DRAG,y)},this.handlePinch=(y,x)=>{this.triggerExtendKey(Ea.PINCH,Object.assign(Object.assign({},y),x))},this.onFocus=()=>{this.recordKey.clear()},this.emitter=a,this.bindEvents()}bind(a,y){a.length!==0&&(a.includes(Ea.PINCH)&&!this.pinchHandler&&(this.boundHandlePinch=this.handlePinch.bind(this),this.pinchHandler=new Ql(this.emitter,"pinchmove",this.boundHandlePinch)),this.map.set(a,y))}unbind(a,y){this.map.forEach((x,b)=>{Zl(b,a)&&(!y||y===x)&&this.map.delete(b)})}unbindAll(){this.map.clear()}match(a){const y=rw(Array.from(this.recordKey)).sort(),x=rw(a).sort();return Zl(y,x)}bindEvents(){var a;const{emitter:y}=this;y.on(Ea.KEY_DOWN,this.onKeyDown),y.on(Ea.KEY_UP,this.onKeyUp),y.on(Ea.WHEEL,this.onWheel),y.on(Ea.DRAG,this.onDrag),(a=globalThis.addEventListener)===null||a===void 0||a.call(globalThis,"focus",this.onFocus)}trigger(a){this.map.forEach((y,x)=>{this.match(x)&&y(a)})}triggerExtendKey(a,y){this.map.forEach((x,b)=>{b.includes(a)&&Zl(Array.from(this.recordKey),b.filter(z=>z!==a))&&x(y)})}destroy(){var a,y;this.unbindAll(),this.emitter.off(Ea.KEY_DOWN,this.onKeyDown),this.emitter.off(Ea.KEY_UP,this.onKeyUp),this.emitter.off(Ea.WHEEL,this.onWheel),this.emitter.off(Ea.DRAG,this.onDrag),(a=this.pinchHandler)===null||a===void 0||a.off("pinchmove",this.boundHandlePinch),(y=globalThis.removeEventListener)===null||y===void 0||y.call(globalThis,"blur",this.onFocus)}}class pv extends _c{constructor(a,y){super(a,nc({},pv.defaultOptions,y)),this.shortcut=new 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y=ru(this.getGraphicStyle(a),"collapsedMarker"),{type:x}=y,b=Tw(y,["type"]),z=this.getShape("key"),[ee,re]=Lf(z.getLocalBounds(),"center"),ae=Object.assign(Object.assign({},b),{x:ee,y:re});if(x){const se=this.getCollapsedMarkerText(x,a);Object.assign(ae,{text:se})}return ae}getCollapsedMarkerText(a,y){const{childrenData:x=[]}=y,{model:b}=this.context;return a==="descendant-count"?b.getDescendantsData(this.id).length.toString():a==="child-count"?x.length.toString():a==="node-count"?b.getDescendantsData(this.id).filter(z=>b.getElementType(Nr(z))==="node").length.toString():qi(a)?a(x):""}getComboPosition(a){const{x:y=0,y:x=0,collapsed:b,childrenData:z=[]}=a;if(z.length===0)return[+y,+x,0];if(b){const{model:ee}=this.context,re=ee.getDescendantsData(this.id).filter(ae=>!ee.isCombo(Nr(ae)));if(re.length>0&&re.some(I8)){const ae=re.reduce((se,fe)=>es(se,fu(fe)),[0,0,0]);return Nd(ae,re.length)}return[+y,+x,0]}return 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Proxy(x,{set:(b,z,ee)=>(z==="currentTime"&&Promise.resolve().then(()=>this.onframe()),Reflect.set(b,z,ee))})}}v0.defaultStyleProps={childrenNode:[],droppable:!0,draggable:!0,collapsed:!1,collapsedSize:32,collapsedMarker:!0,collapsedMarkerZIndex:1,collapsedMarkerFontSize:12,collapsedMarkerTextAlign:"center",collapsedMarkerTextBaseline:"middle",collapsedMarkerType:"child-count"};class l7 extends v0{constructor(a){super(a)}drawKeyShape(a,y){return this.upsert("key",wf,this.getKeyStyle(a),y)}getKeyStyle(a){const{collapsed:y}=a,x=super.getKeyStyle(a),[b]=this.getKeySize(a);return Object.assign(Object.assign(Object.assign({},x),y&&ru(x,"collapsed")),{r:b/2})}getCollapsedKeySize(a){const[y,x]=zc(a.collapsedSize),b=Math.max(y,x)/2;return[b*2,b*2,0]}getExpandedKeySize(a){const y=this.getContentBBox(a),[x,b]=sh(y),z=Math.sqrt(Math.pow(x,2)+Math.pow(b,2))/2;return[z*2,z*2,0]}getIntersectPoint(a,y=!1){const x=this.getShape("key").getBounds();return wp(a,x,y)}}class u7 extends 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ee=fv(a,z),re=fv(y,z);if(ee===re){const ae=ee;let se,fe;switch(ae){case"left":se=Math.min(a[0],y[0])-x,b.push([se,a[1]]),b.push([se,y[1]]);break;case"right":se=Math.max(a[0],y[0])+x,b.push([se,a[1]]),b.push([se,y[1]]);break;case"top":fe=Math.min(a[1],y[1])-x,b.push([a[0],fe]),b.push([y[0],fe]);break;case"bottom":fe=Math.max(a[1],y[1])+x,b.push([a[0],fe]),b.push([y[0],fe]);break}}else{const ae=(Ae,Le)=>({left:[Le[0]-x,Le[1]],right:[Le[0]+x,Le[1]],top:[Le[0],Le[1]-x],bottom:[Le[0],Le[1]+x]})[Ae],se=ae(ee,a),fe=ae(re,y),me=bv(se,fe,z);b.push(se,me,fe)}}return b}function QA(E,a){const y=new Set,x=new Set,b=new Set;return E.forEach(z=>{a(z).forEach(re=>{y.add(re),E.includes(re.source)&&E.includes(re.target)?x.add(re):b.add(re)})}),{edges:Array.from(y),internal:Array.from(x),external:Array.from(b)}}function Uw(E,a){const y=[];let x=E;for(;x;){y.push(x);const b=a(Nr(x));if(b)x=b;else break}if(y.some(b=>{var z;return(z=b.style)===null||z===void 0?void 0:z.collapsed})){const 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b&&(ae[se]=b[se])}),ae}getLoopPath(a){const{sourcePort:y,targetPort:x}=a,b=this.sourceNode,z=lh(b),ee=Math.max(sf(z),lf(z)),{placement:re,clockwise:ae,dist:se=ee}=ru(this.getGraphicStyle(a),"loop");return P7(b,re,ae,se,y,x)}getEndpoints(a,y=!0,x=[]){const{sourcePort:b,targetPort:z}=a,{sourceNode:ee,targetNode:re}=this,[ae,se]=Z7(ee,re,b,z);if(!y){const Le=ae?mh(ae):ee.getCenter(),ke=se?mh(se):re.getCenter();return[Le,ke]}const fe=typeof x=="function"?x():x,me=Yw(ae||ee,fe[0]||se||re),Ae=Yw(se||re,fe[fe.length-1]||ae||ee);return[me,Ae]}getHaloStyle(a){if(a.halo===!1)return!1;const y=this.getKeyStyle(a),x=ru(this.getGraphicStyle(a),"halo");return Object.assign(Object.assign({},y),x)}getLabelStyle(a){if(a.label===!1||!a.labelText)return!1;const y=ru(this.getGraphicStyle(a),"label"),{placement:x,offsetX:b,offsetY:z,autoRotate:ee,maxWidth:re}=y,ae=Kp(y,["placement","offsetX","offsetY","autoRotate","maxWidth"]),se=Fw(this.shapeMap.key,x,ee,b,z),fe=this.shapeMap.key.getLocalBounds(),me=V8([fe.min,fe.max],re);return Object.assign({wordWrapWidth:me},se,ae)}getBadgeStyle(a){if(a.badge===!1||!a.badgeText)return!1;const y=ru(a,"badge"),{offsetX:x,offsetY:b,placement:z}=y,ee=Kp(y,["offsetX","offsetY","placement"]);return Object.assign(ee,E7(this.shapeMap,z,a.labelPlacement,x,b))}drawArrow(a,y){var x;const b=y==="start",ee=a[y==="start"?"startArrow":"endArrow"],re=this.shapeMap.key;if(ee){const ae=this.getArrowStyle(a,b),[se,fe,me]=b?["markerStart","markerStartOffset","startArrowOffset"]:["markerEnd","markerEndOffset","endArrowOffset"],Ae=re.parsedStyle[se];if(Ae)Ae.attr(ae);else{const Le=ae.src?iv:Rc,ke=new Le({style:ae});re.style[se]=ke}re.style[fe]=a[me]||ae.width/2+ +ae.lineWidth}else{const ae=b?"markerStart":"markerEnd";(x=re.style[ae])===null||x===void 0||x.destroy(),re.style[ae]=null}}getArrowStyle(a,y){const x=this.getShape("key").attributes,b=y?"startArrow":"endArrow",z=ru(this.getGraphicStyle(a),b),{size:ee,type:re}=z,ae=Kp(z,["size","type"]),[se,fe]=zc(I7(x.lineWidth,ee)),Ae=(qi(re)?re:He[re]||Ww)(se,fe);return Object.assign(xg(x,["stroke","strokeOpacity","fillOpacity"]),{width:se,height:fe},Object.assign({},Ae&&{d:Ae,fill:re==="simple"?"":x.stroke}),ae)}drawLabelShape(a,y){const x=this.getLabelStyle(a);this.upsert("label",hh,x,y)}drawHaloShape(a,y){const x=this.getHaloStyle(a);this.upsert("halo",Rc,x,y)}drawBadgeShape(a,y){const x=this.getBadgeStyle(a);this.upsert("badge",h0,x,y)}drawSourceArrow(a){this.drawArrow(a,"start")}drawTargetArrow(a){this.drawArrow(a,"end")}drawKeyShape(a,y){const x=this.getKeyStyle(a);return this.upsert("key",Rc,x,y)}render(a=this.parsedAttributes,y=this){this.drawKeyShape(a,y),this.getShape("key")&&(this.drawSourceArrow(a),this.drawTargetArrow(a),this.drawLabelShape(a,y),this.drawHaloShape(a,y),this.drawBadgeShape(a,y))}onframe(){this.drawKeyShape(this.parsedAttributes,this),this.drawSourceArrow(this.parsedAttributes),this.drawTargetArrow(this.parsedAttributes),this.drawHaloShape(this.parsedAttributes,this),this.drawLabelShape(this.parsedAttributes,this),this.drawBadgeShape(this.parsedAttributes,this)}animate(a,y){const x=super.animate(a,y);return x&&new Proxy(x,{set:(b,z,ee)=>(z==="currentTime"&&Promise.resolve().then(()=>this.onframe()),Reflect.set(b,z,ee))})}}vh.defaultStyleProps={badge:!0,badgeOffsetX:0,badgeOffsetY:0,badgePlacement:"suffix",isBillboard:!0,label:!0,labelAutoRotate:!0,labelIsBillboard:!0,labelMaxWidth:"80%",labelOffsetX:4,labelOffsetY:0,labelPlacement:"center",labelTextBaseline:"middle",labelWordWrap:!1,halo:!1,haloDroppable:!1,haloLineDash:0,haloLineWidth:12,haloPointerEvents:"none",haloStrokeOpacity:.25,haloZIndex:-1,loop:!0,startArrow:!1,startArrowLineDash:0,startArrowLineJoin:"round",startArrowLineWidth:1,startArrowTransformOrigin:"center",startArrowType:"vee",endArrow:!1,endArrowLineDash:0,endArrowLineJoin:"round",endArrowLineWidth:1,endArrowTransformOrigin:"center",endArrowType:"vee",loopPlacement:"top",loopClockwise:!0};class Sg extends vh{constructor(a){super(xu({style:Sg.defaultStyleProps},a))}getKeyPath(a){const[y,x]=this.getEndpoints(a),{controlPoints:b,curvePosition:z,curveOffset:ee}=a,re=this.getControlPoints(y,x,x7(z),A7(ee),b);return _w(y,x,re)}getControlPoints(a,y,x,b,z){return(z==null?void 0:z.length)===2?z:[KA(a,y,x[0],b[0]),KA(a,y,x[1],b[1])]}}Sg.defaultStyleProps={curvePosition:.5,curveOffset:20};class Zp extends Sg{constructor(a){super(xu({style:Zp.defaultStyleProps},a))}getControlPoints(a,y,x,b){const z=y[0]-a[0];return[[a[0]+z*x[0]+b[0],a[1]],[y[0]-z*x[1]+b[1],y[1]]]}}Zp.defaultStyleProps={curvePosition:[.5,.5],curveOffset:[0,0]};class Qp extends Sg{constructor(a){super(xu({style:Qp.defaultStyleProps},a))}get ref(){return this.context.model.getRootsData()[0]}getEndpoints(a){if(this.sourceNode.id===this.ref.id)return super.getEndpoints(a);const y=fu(this.ref),x=this.sourceNode.getIntersectPoint(y,!0),b=this.targetNode.getIntersectPoint(y);return[x,b]}toRadialCoordinate(a){const y=fu(this.ref),x=vl(a,y),b=Z2(il(a,y));return[x,b]}getControlPoints(a,y,x,b){const[z,ee]=this.toRadialCoordinate(a),[re]=this.toRadialCoordinate(y),ae=re-z;return[[a[0]+(ae*x[0]+b[0])*Math.cos(ee),a[1]+(ae*x[0]+b[0])*Math.sin(ee)],[y[0]-(ae*x[1]-b[0])*Math.cos(ee),y[1]-(ae*x[1]-b[0])*Math.sin(ee)]]}}Qp.defaultStyleProps={curvePosition:.5,curveOffset:20};class Yp extends Sg{constructor(a){super(xu({style:Yp.defaultStyleProps},a))}getControlPoints(a,y,x,b){const z=y[1]-a[1];return[[a[0],a[1]+z*x[0]+b[0]],[y[0],y[1]-z*x[1]+b[1]]]}}Yp.defaultStyleProps={curvePosition:[.5,.5],curveOffset:[0,0]};class Xp extends vh{constructor(a){super(xu({style:Xp.defaultStyleProps},a))}getKeyPath(a){const[y,x]=this.getEndpoints(a);return[["M",y[0],y[1]],["L",x[0],x[1]]]}}Xp.defaultStyleProps={};const F7={enableObstacleAvoidance:!1,offset:10,maxAllowedDirectionChange:Math.PI/2,maximumLoops:3e3,gridSize:5,startDirections:["top","right","bottom","left"],endDirections:["top","right","bottom","left"],directionMap:{right:{stepX:1,stepY:0},left:{stepX:-1,stepY:0},bottom:{stepX:0,stepY:1},top:{stepX:0,stepY:-1}},penalties:{0:0,90:0},distFunc:Cp},Nf=E=>`${Math.round(E[0])}|||${Math.round(E[1])}`;function bg(E,a){const y=x=>Math.round(x/a);return ji(E)?y(E):E.map(y)}function k7(E,a){const y=Math.abs(E-a);return y>Math.PI?2*Math.PI-y:y}function jw(E,a){const y=a[0]-E[0],x=a[1]-E[1];return!y&&!x?0:Math.atan2(x,y)}function Gw(E,a,y,x){const b=jw(E,a),z=y[Nf(E)],re=jw(z||x,E);return k7(re,b)}const _7=(E,a)=>{const{offset:y,gridSize:x}=a,b={};return E.forEach(z=>{if(!z||z.destroyed||!z.isVisible())return;const ee=uh(z.getRenderBounds(),y);for(let re=bg(ee.min[0],x);re<=bg(ee.max[0],x);re+=1)for(let ae=bg(ee.min[1],x);ae<=bg(ee.max[1],x);ae+=1)b[`${re}|||${ae}`]=!0}),b};function Hw(E,a,y){return Math.min(...a.map(x=>y(E,x)))}function z7(E,a,y){let x=E[0],b=y(E[0],a);for(let z=0;z{if(!a)return[E];const{directionMap:b,offset:z}=x,ee=uh(a.getRenderBounds(),z),re=Object.keys(b).reduce((ae,se)=>{if(y.includes(se)){const fe=b[se],[me,Ae]=sh(ee),Le=[E[0]+fe.stepX*me,E[1]+fe.stepY*Ae],ke=zR(ee);for(let We=0;Webg(ae,x.gridSize))},U7=(E,a,y,x,b,z,ee)=>{const re=[];let ae=[z[0]===x[0]?x[0]:E[0]*ee,z[1]===x[1]?x[1]:E[1]*ee];re.unshift(ae);let se=E,fe=a[Nf(se)];for(;fe;){const Le=fe,ke=se;Gw(Le,ke,a,y)&&(ae=[Le[0]===ke[0]?ae[0]:Le[0]*ee,Le[1]===ke[1]?ae[1]:Le[1]*ee],re.unshift(ae)),fe=a[Nf(Le)],se=Le}const me=b.map(Le=>[Le[0]*ee,Le[1]*ee]),Ae=z7(me,ae,Cp);return re.unshift(Ae),re};function W7(E,a,y,x){const b=mg(E.getCenter()),z=mg(a.getCenter()),ee=Object.assign(F7,x),{gridSize:re}=ee,ae=ee.enableObstacleAvoidance?y:[E,a],se=_7(ae,ee),fe=bg(b,re),me=bg(z,re),Ae=Vw(b,E,ee.startDirections,ee),Le=Vw(z,a,ee.endDirections,ee);Ae.forEach(ut=>delete se[Nf(ut)]),Le.forEach(ut=>delete se[Nf(ut)]);const ke={},We={},je={},Ke={},Ze={},Je=new j7;for(let ut=0;utNf(ut));let at=ee.maximumLoops,st,dt=1/0;for(const[ut,wt]of Object.entries(ke))Ze[ut]<=dt&&(dt=Ze[ut],st=wt);for(;Object.keys(ke).length>0&&at>0;){const ut=Je.minId(!1);if(ut)st=ke[ut];else break;const wt=Nf(st);if(tt.includes(wt))return U7(st,je,fe,z,Ae,me,re);delete ke[wt],Je.remove(wt),We[wt]=!0;for(const Bt of Object.values(ee.directionMap)){const Ht=es(st,[Bt.stepX,Bt.stepY]),Qt=Nf(Ht);if(We[Qt])continue;const hn=Gw(st,Ht,je,fe);if(hn>ee.maxAllowedDirectionChange||se[Qt])continue;ke[Qt]||(ke[Qt]=Ht);const on=ee.penalties[hn],Pn=ee.distFunc(st,Ht)+(isNaN(on)?re:on),Jn=Ke[wt]+Pn,pn=Ke[Qt];pn&&Jn>=pn||(je[Qt]=st,Ke[Qt]=Jn,Ze[Qt]=Jn+Hw(Ht,Le,ee.distFunc),Je.add({id:Qt,value:Ze[Qt]}))}at-=1}return[]}class j7{constructor(){this.arr=[],this.map={},this.arr=[],this.map={}}_innerAdd(a,y){let x=0,b=y-1;for(;b-x>1;){const z=Math.floor((x+b)/2);if(this.arr[z].value>a.value)b=z;else if(this.arr[z].value=0;y--)this.map[this.arr[y].id]?a=this.arr[y].id:this.arr.splice(y,1);return a}_findFirstId(){for(;this.arr.length;){const a=this.arr.shift();if(this.map[a.id])return a.id}}minId(a){return a?this._clearAndGetMinId():this._findFirstId()}}class Jp extends vh{constructor(a){super(xu({style:Jp.defaultStyleProps},a))}getControlPoints(a){const{router:y}=a,{sourceNode:x,targetNode:b}=this,[z,ee]=this.getEndpoints(a,!1);let re=[];if(!y)re=a.controlPoints;else if(y.type==="shortest-path"){const ae=this.context.element.getNodes();re=W7(x,b,ae,y),re.length||(re=Lw(z,ee,x,b,a.controlPoints,{padding:y.offset}))}else y.type==="orth"&&(re=Lw(z,ee,x,b,a.controlPoints,y));return re}getPoints(a){const y=this.getControlPoints(a),[x,b]=this.getEndpoints(a,!0,y);return[x,...y,b]}getKeyPath(a){const y=this.getPoints(a);return ZA(y,a.radius)}getLoopPath(a){const{sourcePort:y,targetPort:x,radius:b}=a,z=this.sourceNode,ee=lh(z),re=Math.max(sf(ee),lf(ee))/4,{placement:ae,clockwise:se,dist:fe=re}=ru(this.getGraphicStyle(a),"loop");return M7(z,b,ae,se,fe,y,x)}}Jp.defaultStyleProps={radius:0,controlPoints:[],router:!1};class qp extends vh{constructor(a){super(xu({style:qp.defaultStyleProps},a))}getKeyPath(a){const{curvePosition:y,curveOffset:x}=a,[b,z]=this.getEndpoints(a),ee=a.controlPoint||KA(b,z,y,x);return S7(b,z,ee)}}qp.defaultStyleProps={curvePosition:.5,curveOffset:30};var G7=function(E,a){var y={};for(var x in E)Object.prototype.hasOwnProperty.call(E,x)&&a.indexOf(x)<0&&(y[x]=E[x]);if(E!=null&&typeof Object.getOwnPropertySymbols=="function")for(var b=0,x=Object.getOwnPropertySymbols(E);b{var z;const{key:ee,placement:re}=x;Zw(x)&&(a[z=ee||b]||(a[z]=Lf(E.getShape("key").getBounds(),re)))}),a}function Zw(E){const{r:a}=E;return!a||Number(a)===0}function mh(E){return c0(E)?E:E.getPosition()}function Z7(E,a,y,x){const b=Qw(E,a,y,x),z=Qw(a,E,x,y);return[b,z]}function Qw(E,a,y,x){const b=JA(E);if(y)return b[y];const z=Object.values(b);if(z.length===0)return;const ee=z.map(se=>mh(se)),re=Q7(a,x),[ae]=N8(ee,re);return z.find(se=>mh(se)===ae)}function Q7(E,a){const y=JA(E);if(a)return[mh(y[a])];const x=Object.values(y);return x.length>0?x.map(b=>mh(b)):[E.getCenter()]}function Yw(E,a){return YA(E)||Cv(E)?qA(E,a):Pv(E,a)}function Pv(E,a){if(!E||!a)return[0,0,0];if(c0(E))return E;if(E.attributes.linkToCenter)return E.getPosition();const y=c0(a)?a:Cv(a)?a.getCenter():a.getPosition();return wp(y,E.getBounds())}function qA(E,a){if(!E||!a)return[0,0,0];const y=c0(a)?a:Cv(a)?a.getCenter():a.getPosition();return E.getIntersectPoint(y)||E.getCenter()}function Xw(E,a="bottom",y=0,x=0,b=!1){const z=a.split("-"),[ee,re]=Lf(E,a),[ae,se]=b?["bottom","top"]:["top","bottom"],fe=z.includes("top")?se:z.includes("bottom")?ae:"middle",me=z.includes("left")?"right":z.includes("right")?"left":"center";return{transform:[["translate",ee+y,re+x]],textBaseline:fe,textAlign:me}}function Y7(E,a){return[[0,-E],[a*Math.cos(3*Math.PI/10),-a*Math.sin(3*Math.PI/10)],[E*Math.cos(Math.PI/10),-E*Math.sin(Math.PI/10)],[a*Math.cos(Math.PI/10),a*Math.sin(Math.PI/10)],[E*Math.cos(3*Math.PI/10),E*Math.sin(3*Math.PI/10)],[0,a],[-E*Math.cos(3*Math.PI/10),E*Math.sin(3*Math.PI/10)],[-a*Math.cos(Math.PI/10),a*Math.sin(Math.PI/10)],[-E*Math.cos(Math.PI/10),-E*Math.sin(Math.PI/10)],[-a*Math.cos(3*Math.PI/10),-a*Math.sin(3*Math.PI/10)]]}function X7(E,a){const y={};return y.top=[0,-E],y.left=[-E*Math.cos(Math.PI/10),-E*Math.sin(Math.PI/10)],y["left-bottom"]=[-E*Math.cos(3*Math.PI/10),E*Math.sin(3*Math.PI/10)],y.bottom=[0,a],y["right-bottom"]=[E*Math.cos(3*Math.PI/10),E*Math.sin(3*Math.PI/10)],y.right=y.default=[E*Math.cos(Math.PI/10),-E*Math.sin(Math.PI/10)],y}function J7(E,a,y){const x=a/2,b=E/2,z={up:[[-b,x],[b,x],[0,-x]],left:[[-b,0],[b,x],[b,-x]],right:[[-b,x],[-b,-x],[b,0]],down:[[-b,-x],[b,-x],[0,x]]};return z[y]||z.up}function q7(E,a,y){const x=a/2,b=E/2,z={};return y==="down"?(z.bottom=z.default=[0,x],z.right=[b,-x],z.left=[-b,-x]):y==="left"?(z.top=[b,-x],z.bottom=[b,x],z.left=z.default=[-b,0]):y==="right"?(z.top=[-b,-x],z.bottom=[-b,x],z.right=z.default=[b,0]):(z.left=[-b,x],z.top=z.default=[0,-x],z.right=[b,x]),z}function Bq(E,a){return[[E/2,-a/2],[E/2,a/2],[-E/2,a/2],[-E/2,-a/2]]}function $7(E,a){return[[0,-a/2],[E/2,0],[0,a/2],[-E/2,0]]}function Jw(E){return Sc(E,["style","visibility"])!=="hidden"}function ek(E,a){const{zIndex:y,transform:x,transformOrigin:b,visibility:z,cursor:ee,clipPath:re,component:ae}=a,se=G7(a,["zIndex","transform","transformOrigin","visibility","cursor","clipPath","component"]);Object.assign(E.attributes,se),x&&E.setAttribute("transform",x),ji(y)&&E.setAttribute("zIndex",y),b&&E.setAttribute("transformOrigin",b),z&&E.setAttribute("visibility",z),ee&&E.setAttribute("cursor",ee),re&&E.setAttribute("clipPath",re),ae&&E.setAttribute("component",ae)}function $A(E,a){"update"in E?E.update(a):E.attr(a)}function tk(E){return[[0,E],[E*Math.sqrt(3)/2,E/2],[E*Math.sqrt(3)/2,-E/2],[0,-E],[-E*Math.sqrt(3)/2,-E/2],[-E*Math.sqrt(3)/2,E/2]]}function nk(E){yv(E,"__to_be_destroyed__",!0)}function wv(E){return Sc(E,"__to_be_destroyed__",!1)}var rk=function(E,a,y,x){function b(z){return z instanceof y?z:new y(function(ee){ee(z)})}return new(y||(y=Promise))(function(z,ee){function re(fe){try{se(x.next(fe))}catch(me){ee(me)}}function ae(fe){try{se(x.throw(fe))}catch(me){ee(me)}}function se(fe){fe.done?z(fe.value):b(fe.value).then(re,ae)}se((x=x.apply(E,a||[])).next())})};class $p extends _c{constructor(a,y){super(a,Object.assign({},$p.defaultOptions,y)),this.onCollapseExpand=x=>rk(this,void 0,void 0,function*(){if(!this.validate(x))return;const{target:b}=x;if(!H7(b))return;const z=b.id,{model:ee,graph:re}=this.context,ae=ee.getElementDataById(z);if(!ae)return!1;const{onCollapse:se,onExpand:fe,animation:me,align:Ae}=this.options;xc(ae)?(yield re.expandElement(z,{animation:me,align:Ae}),fe==null||fe(z)):(yield re.collapseElement(z,{animation:me,align:Ae}),se==null||se(z))}),this.bindEvents()}update(a){this.unbindEvents(),super.update(a),this.bindEvents()}bindEvents(){const{graph:a}=this.context,{trigger:y}=this.options;a.on(`node:${y}`,this.onCollapseExpand),a.on(`combo:${y}`,this.onCollapseExpand)}unbindEvents(){const{graph:a}=this.context,{trigger:y}=this.options;a.off(`node:${y}`,this.onCollapseExpand),a.off(`combo:${y}`,this.onCollapseExpand)}validate(a){if(this.destroyed)return!1;const{enable:y}=this.options;return qi(y)?y(a):!!y}destroy(){this.unbindEvents(),super.destroy()}}$p.defaultOptions={enable:!0,animation:!0,trigger:Ea.DBLCLICK,align:!0};var ey={},ak=function(E){return E=E||"g",ey[E]?ey[E]+=1:ey[E]=1,E+ey[E]},ty=function(E,a,y,x){function b(z){return z instanceof y?z:new y(function(ee){ee(z)})}return new(y||(y=Promise))(function(z,ee){function re(fe){try{se(x.next(fe))}catch(me){ee(me)}}function ae(fe){try{se(x.throw(fe))}catch(me){ee(me)}}function se(fe){fe.done?z(fe.value):b(fe.value).then(re,ae)}se((x=x.apply(E,a||[])).next())})};const ik="g6-create-edge-assist-edge-id",ny="g6-create-edge-assist-node-id";class ry extends _c{constructor(a,y){super(a,Object.assign({},ry.defaultOptions,y)),this.drop=x=>ty(this,void 0,void 0,function*(){const{targetType:b}=x;["combo","node"].includes(b)&&this.source?yield this.handleCreateEdge(x):yield this.cancelEdge()}),this.handleCreateEdge=x=>ty(this,void 0,void 0,function*(){var b,z,ee;if(!this.validate(x))return;const{graph:re,canvas:ae,batch:se,element:fe}=this.context,{style:me}=this.options;if(this.source){this.createEdge(x),yield this.cancelEdge();return}se.startBatch(),ae.setCursor("crosshair"),this.source=this.getSelectedNodeIDs([x.target.id])[0];const Ae=re.getElementData(this.source);re.addNodeData([{id:ny,style:{visibility:"hidden",ports:[{key:"port-1",placement:[.5,.5]}],x:(b=Ae.style)===null||b===void 0?void 0:b.x,y:(z=Ae.style)===null||z===void 0?void 0:z.y}}]),re.addEdgeData([{id:ik,source:this.source,target:ny,style:Object.assign({pointerEvents:"none"},me)}]),yield(ee=fe.draw({animation:!1}))===null||ee===void 0?void 0:ee.finished}),this.updateAssistEdge=x=>ty(this,void 0,void 0,function*(){var b;if(!this.source)return;const{model:z,element:ee}=this.context;z.translateNodeTo(ny,[x.canvas.x,x.canvas.y]),yield(b=ee.draw({animation:!1,silence:!0}))===null||b===void 0?void 0:b.finished}),this.createEdge=x=>{var b,z;const{graph:ee}=this.context,{style:re,onFinish:ae,onCreate:se}=this.options;if(((b=x.target)===null||b===void 0?void 0:b.id)===void 0||this.source===void 0)return;const me=(z=this.getSelectedNodeIDs([x.target.id]))===null||z===void 0?void 0:z[0],Ae=`${this.source}-${me}-${ak()}`,Le=se({id:Ae,source:this.source,target:me,style:re});Le&&(ee.addEdgeData([Le]),ae(Le))},this.cancelEdge=()=>ty(this,void 0,void 0,function*(){var x;if(!this.source)return;const{graph:b,element:z,batch:ee}=this.context;b.removeNodeData([ny]),this.source=void 0,yield(x=z.draw({animation:!1}))===null||x===void 0?void 0:x.finished,ee.endBatch()}),this.bindEvents()}update(a){super.update(a),this.bindEvents()}bindEvents(){const{graph:a}=this.context,{trigger:y}=this.options;this.unbindEvents(),y==="click"?(a.on(ud.CLICK,this.handleCreateEdge),a.on(fg.CLICK,this.handleCreateEdge),a.on(Df.CLICK,this.cancelEdge),a.on(sp.CLICK,this.cancelEdge)):(a.on(ud.DRAG_START,this.handleCreateEdge),a.on(fg.DRAG_START,this.handleCreateEdge),a.on(Ea.POINTER_UP,this.drop)),a.on(Ea.POINTER_MOVE,this.updateAssistEdge)}getSelectedNodeIDs(a){return Array.from(new Set(this.context.graph.getElementDataByState("node",this.options.state).map(y=>y.id).concat(a)))}validate(a){if(this.destroyed)return!1;const{enable:y}=this.options;return qi(y)?y(a):!!y}unbindEvents(){const{graph:a}=this.context;a.off(ud.CLICK,this.handleCreateEdge),a.off(fg.CLICK,this.handleCreateEdge),a.off(Df.CLICK,this.cancelEdge),a.off(sp.CLICK,this.cancelEdge),a.off(ud.DRAG_START,this.handleCreateEdge),a.off(fg.DRAG_START,this.handleCreateEdge),a.off(Ea.POINTER_UP,this.drop),a.off(Ea.POINTER_MOVE,this.updateAssistEdge)}destroy(){this.unbindEvents(),super.destroy()}}ry.defaultOptions={animation:!0,enable:!0,style:{},trigger:"drag",onCreate:E=>E,onFinish:()=>{}};function ok(E,a,y){var x;return function(){var b=this,z=arguments,ee=function(){x=null,y||E.apply(b,z)},re=y&&!x;clearTimeout(x),x=setTimeout(ee,a),re&&E.apply(b,z)}}var Mv=ok,qw=function(E,a,y,x){function b(z){return z instanceof y?z:new y(function(ee){ee(z)})}return new(y||(y=Promise))(function(z,ee){function re(fe){try{se(x.next(fe))}catch(me){ee(me)}}function ae(fe){try{se(x.throw(fe))}catch(me){ee(me)}}function se(fe){fe.done?z(fe.value):b(fe.value).then(re,ae)}se((x=x.apply(E,a||[])).next())})};class ay extends _c{constructor(a,y){super(a,Object.assign({},ay.defaultOptions,y)),this.isDragging=!1,this.onDragStart=x=>{this.validate(x)&&(this.isDragging=!0,this.context.canvas.setCursor("grabbing"))},this.onDrag=x=>{var b,z,ee,re;if(!this.isDragging||Ql.isPinching)return;const ae=(z=(b=x.movement)===null||b===void 0?void 0:b.x)!==null&&z!==void 0?z:x.dx,se=(re=(ee=x.movement)===null||ee===void 0?void 0:ee.y)!==null&&re!==void 0?re:x.dy;ae|se&&this.translate([ae,se],!1)},this.onDragEnd=()=>{var x,b;this.isDragging=!1,this.context.canvas.setCursor(this.defaultCursor),(b=(x=this.options).onFinish)===null||b===void 0||b.call(x)},this.invokeOnFinish=Mv(()=>{var x,b;(b=(x=this.options).onFinish)===null||b===void 0||b.call(x)},300),this.shortcut=new f0(a.graph),this.bindEvents(),this.defaultCursor=this.context.canvas.getConfig().cursor||"default"}update(a){this.unbindEvents(),super.update(a),this.bindEvents()}bindEvents(){const{trigger:a}=this.options;if(Vl(a)){const{up:y=[],down:x=[],left:b=[],right:z=[]}=a;this.shortcut.bind(y,ee=>this.onTranslate([0,1],ee)),this.shortcut.bind(x,ee=>this.onTranslate([0,-1],ee)),this.shortcut.bind(b,ee=>this.onTranslate([1,0],ee)),this.shortcut.bind(z,ee=>this.onTranslate([-1,0],ee))}else{const{graph:y}=this.context;y.on(Ea.DRAG_START,this.onDragStart),y.on(Ea.DRAG,this.onDrag),y.on(Ea.DRAG_END,this.onDragEnd)}}onTranslate(a,y){return qw(this,void 0,void 0,function*(){if(!this.validate(y))return;const{sensitivity:x}=this.options,b=x*-1;yield this.translate(Bd(a,b),this.options.animation),this.invokeOnFinish()})}translate(a,y){return qw(this,void 0,void 0,function*(){a=this.clampByDirection(a),a=this.clampByRange(a),a=this.clampByRotation(a),yield this.context.graph.translateBy(a,y)})}clampByRotation([a,y]){const x=this.context.graph.getRotation();if(x%360===0)return[a,y];const b=x*Math.PI/180,z=Math.cos(b),ee=Math.sin(b);return[a*z-y*ee,a*ee+y*z]}clampByDirection([a,y]){const{direction:x}=this.options;return x==="x"?y=0:x==="y"&&(a=0),[a,y]}clampByRange([a,y]){const{viewport:x,canvas:b}=this.context,[z,ee]=b.getSize(),[re,ae,se,fe]=Od(this.options.range),me=[ee*re,z*ae,ee*se,z*fe],Ae=uh(dA(x.getCanvasCenter()),me),Le=il(x.getViewportCenter(),[a,y,0]);if(!Td(Le,Ae)){const{min:[ke,We],max:[je,Ke]}=Ae;(Le[0]0||Le[0]>je&&a<0)&&(a=0),(Le[1]0||Le[1]>Ke&&y<0)&&(y=0)}return[a,y]}validate(a){if(this.destroyed)return!1;const{enable:y}=this.options;return typeof y=="function"?y(a):!!y}unbindEvents(){this.shortcut.unbindAll();const{graph:a}=this.context;a.off(Ea.DRAG_START,this.onDragStart),a.off(Ea.DRAG,this.onDrag),a.off(Ea.DRAG_END,this.onDragEnd)}destroy(){this.shortcut.destroy(),this.unbindEvents(),this.context.canvas.setCursor(this.defaultCursor),super.destroy()}}ay.defaultOptions={enable:E=>"targetType"in E?E.targetType==="canvas":!0,sensitivity:10,direction:"both",range:1/0};var $w=function(E,a,y,x){function b(z){return z instanceof y?z:new y(function(ee){ee(z)})}return new(y||(y=Promise))(function(z,ee){function re(fe){try{se(x.next(fe))}catch(me){ee(me)}}function ae(fe){try{se(x.throw(fe))}catch(me){ee(me)}}function se(fe){fe.done?z(fe.value):b(fe.value).then(re,ae)}se((x=x.apply(E,a||[])).next())})};class Dv extends _c{constructor(a,y){super(a,Object.assign({},Dv.defaultOptions,y)),this.enable=!1,this.enableElements=["node","combo"],this.target=[],this.shadowOrigin=[0,0],this.hiddenEdges=[],this.isDragging=!1,this.onDrop=x=>$w(this,void 0,void 0,function*(){var b;if(this.options.dropEffect!=="link")return;const{model:z,element:ee}=this.context,re=x.target.id;this.target.forEach(ae=>{const se=z.getParentData(ae,ll);se&&Nr(se)===re&&z.refreshComboData(re),z.setParent(ae,re,ll)}),yield(b=ee==null?void 0:ee.draw({animation:!0}))===null||b===void 0?void 0:b.finished}),this.setCursor=x=>{if(this.isDragging)return;const{type:b}=x,{canvas:z}=this.context,{cursor:ee}=this.options;b===Ea.POINTER_ENTER?z.setCursor((ee==null?void 0:ee.grab)||"grab"):z.setCursor((ee==null?void 0:ee.default)||"default")},this.onDragStart=this.onDragStart.bind(this),this.onDrag=this.onDrag.bind(this),this.onDragEnd=this.onDragEnd.bind(this),this.onDrop=this.onDrop.bind(this),this.bindEvents()}update(a){this.unbindEvents(),super.update(a),this.bindEvents()}bindEvents(){const{graph:a,canvas:y}=this.context,x=y.getLayer().getContextService().$canvas;x&&(x.addEventListener("blur",this.onDragEnd),x.addEventListener("contextmenu",this.onDragEnd)),this.enableElements.forEach(b=>{a.on(`${b}:${Ea.DRAG_START}`,this.onDragStart),a.on(`${b}:${Ea.DRAG}`,this.onDrag),a.on(`${b}:${Ea.DRAG_END}`,this.onDragEnd),a.on(`${b}:${Ea.POINTER_ENTER}`,this.setCursor),a.on(`${b}:${Ea.POINTER_LEAVE}`,this.setCursor)}),["link"].includes(this.options.dropEffect)&&(a.on(fg.DROP,this.onDrop),a.on(Df.DROP,this.onDrop))}getSelectedNodeIDs(a){return Array.from(new Set(this.context.graph.getElementDataByState("node",this.options.state).map(y=>y.id).concat(a)))}getDelta(a){const y=this.context.graph.getZoom();return Nd([a.dx,a.dy],y)}onDragStart(a){var y;if(this.enable=this.validate(a),!this.enable)return;const{batch:x,canvas:b,graph:z}=this.context;b.setCursor(((y=this.options.cursor)===null||y===void 0?void 0:y.grabbing)||"grabbing"),this.isDragging=!0,x.startBatch();const ee=a.target.id;z.getElementState(ee).includes(this.options.state)?this.target=this.getSelectedNodeIDs([ee]):this.target=[ee],this.hideEdge(),this.context.graph.frontElement(this.target),this.options.shadow&&this.createShadow(this.target)}onDrag(a){if(!this.enable)return;const y=this.getDelta(a);this.options.shadow?this.moveShadow(y):this.moveElement(this.target,y)}onDragEnd(){var a,y,x;if(!this.enable)return;if(this.enable=!1,this.options.shadow){if(!this.shadow)return;this.shadow.style.visibility="hidden";const{x:ee=0,y:re=0}=this.shadow.attributes,[ae,se]=il([+ee,+re],this.shadowOrigin);this.moveElement(this.target,[ae,se])}this.showEdges(),(y=(a=this.options).onFinish)===null||y===void 0||y.call(a,this.target);const{batch:b,canvas:z}=this.context;b.endBatch(),z.setCursor(((x=this.options.cursor)===null||x===void 0?void 0:x.grab)||"grab"),this.isDragging=!1,this.target=[]}validate(a){if(this.destroyed||wv(a.target)||this.context.graph.isCollapsingExpanding)return!1;const{enable:y}=this.options;return qi(y)?y(a):!!y}moveElement(a,y){return $w(this,void 0,void 0,function*(){const{graph:x,model:b}=this.context,{dropEffect:z}=this.options;z==="move"&&a.forEach(ee=>b.refreshComboData(ee)),x.translateElementBy(Object.fromEntries(a.map(ee=>[ee,y])),!1)})}moveShadow(a){if(!this.shadow)return;const{x:y=0,y:x=0}=this.shadow.attributes,[b,z]=a;this.shadow.attr({x:+y+b,y:+x+z})}createShadow(a){const y=ru(this.options,"shadow"),x=dv(a.map(se=>this.context.element.getElement(se).getBounds())),[b,z]=x.min;this.shadowOrigin=[b,z];const[ee,re]=sh(x),ae={width:ee,height:re,x:b,y:z};this.shadow?this.shadow.attr(Object.assign(Object.assign(Object.assign({},y),ae),{visibility:"visible"})):(this.shadow=new Iu({style:Object.assign(Object.assign(Object.assign({$layer:"transient"},y),ae),{pointerEvents:"none"})}),this.context.canvas.appendChild(this.shadow))}showEdges(){this.options.shadow||this.hiddenEdges.length===0||(this.context.graph.showElement(this.hiddenEdges),this.hiddenEdges=[])}hideEdge(){const{hideEdge:a,shadow:y}=this.options;if(a==="none"||y)return;const{graph:x}=this.context;a==="all"?this.hiddenEdges=x.getEdgeData().map(Nr):this.hiddenEdges=Array.from(new Set(this.target.map(b=>x.getRelatedEdgesData(b,a).map(Nr)).flat())),x.hideElement(this.hiddenEdges)}unbindEvents(){const{graph:a,canvas:y}=this.context,x=y.getLayer().getContextService().$canvas;x&&(x.removeEventListener("blur",this.onDragEnd),x.removeEventListener("contextmenu",this.onDragEnd)),this.enableElements.forEach(b=>{a.off(`${b}:${Ea.DRAG_START}`,this.onDragStart),a.off(`${b}:${Ea.DRAG}`,this.onDrag),a.off(`${b}:${Ea.DRAG_END}`,this.onDragEnd),a.off(`${b}:${Ea.POINTER_ENTER}`,this.setCursor),a.off(`${b}:${Ea.POINTER_LEAVE}`,this.setCursor)}),a.off(`combo:${Ea.DROP}`,this.onDrop),a.off(`canvas:${Ea.DROP}`,this.onDrop)}destroy(){var a;this.unbindEvents(),(a=this.shadow)===null||a===void 0||a.destroy(),super.destroy()}}Dv.defaultOptions={animation:!0,enable:E=>["node","combo"].includes(E.targetType),dropEffect:"move",state:"selected",hideEdge:"none",shadow:!1,shadowZIndex:100,shadowFill:"#F3F9FF",shadowFillOpacity:.5,shadowStroke:"#1890FF",shadowStrokeOpacity:.9,shadowLineDash:[5,5],cursor:{default:"default",grab:"grab",grabbing:"grabbing"}};var sk="*",lk=function(){function E(){this._events={}}return E.prototype.on=function(a,y,x){return this._events[a]||(this._events[a]=[]),this._events[a].push({callback:y,once:!!x}),this},E.prototype.once=function(a,y){return this.on(a,y,!0)},E.prototype.emit=function(a){for(var y=this,x=[],b=1;b{a.has(ee.id)||(a.add(ee.id),E.push(ee))})}return!1}function oy(E,a,y,x){if(y(E))return!0;a.add(E.id);for(const z of x(E.id))if(!a.has(z.id)&&oy(z,a,y,x))return!0;return!1}const e5=()=>!0;class uk{constructor(a){Pl(this,"graph");Pl(this,"nodeFilter");Pl(this,"edgeFilter");Pl(this,"cacheEnabled");Pl(this,"inEdgesMap",new Map);Pl(this,"outEdgesMap",new Map);Pl(this,"bothEdgesMap",new Map);Pl(this,"allNodesMap",new Map);Pl(this,"allEdgesMap",new Map);Pl(this,"clearCache",()=>{this.inEdgesMap.clear(),this.outEdgesMap.clear(),this.bothEdgesMap.clear(),this.allNodesMap.clear(),this.allEdgesMap.clear()});Pl(this,"refreshCache",()=>{this.clearCache(),this.updateCache(this.graph.getAllNodes().map(a=>a.id))});Pl(this,"updateCache",a=>{const y=new Set;a.forEach(x=>{const b=this.bothEdgesMap.get(x);if(b&&b.forEach(z=>y.add(z.id)),!this.hasNode(x))this.inEdgesMap.delete(x),this.outEdgesMap.delete(x),this.bothEdgesMap.delete(x),this.allNodesMap.delete(x);else{const z=this.graph.getRelatedEdges(x,"in").filter(this.edgeFilter),ee=this.graph.getRelatedEdges(x,"out").filter(this.edgeFilter),re=Array.from(new Set([...z,...ee]));re.forEach(ae=>y.add(ae.id)),this.inEdgesMap.set(x,z),this.outEdgesMap.set(x,ee),this.bothEdgesMap.set(x,re),this.allNodesMap.set(x,this.graph.getNode(x))}}),y.forEach(x=>{this.hasEdge(x)?this.allEdgesMap.set(x,this.graph.getEdge(x)):this.allEdgesMap.delete(x)})});Pl(this,"handleGraphChanged",a=>{const y=new Set;a.changes.forEach(x=>{switch(x.type){case"NodeAdded":y.add(x.value.id);break;case"NodeDataUpdated":y.add(x.id);break;case"EdgeAdded":y.add(x.value.source),y.add(x.value.target);break;case"EdgeUpdated":(x.propertyName==="source"||x.propertyName==="target")&&(y.add(x.oldValue),y.add(x.newValue));break;case"EdgeDataUpdated":if(a.graph.hasEdge(x.id)){const b=a.graph.getEdge(x.id);y.add(b.source),y.add(b.target)}break;case"EdgeRemoved":y.add(x.value.source),y.add(x.value.target);break;case"NodeRemoved":y.add(x.value.id);break;default:break}}),this.updateCache(y)});this.graph=a.graph;const y=a.nodeFilter||e5,x=a.edgeFilter||e5;this.nodeFilter=y,this.edgeFilter=b=>{const{source:z,target:ee}=this.graph.getEdgeDetail(b.id);return!y(z)||!y(ee)?!1:x(b,z,ee)},a.cache==="auto"?(this.cacheEnabled=!0,this.startAutoCache()):a.cache==="manual"?this.cacheEnabled=!0:this.cacheEnabled=!1}startAutoCache(){this.refreshCache(),this.graph.on("changed",this.handleGraphChanged)}stopAutoCache(){this.graph.off("changed",this.handleGraphChanged)}checkNodeExistence(a){this.getNode(a)}hasNode(a){if(!this.graph.hasNode(a))return!1;const y=this.graph.getNode(a);return this.nodeFilter(y)}areNeighbors(a,y){return this.checkNodeExistence(a),this.getNeighbors(y).some(x=>x.id===a)}getNode(a){const y=this.graph.getNode(a);if(!this.nodeFilter(y))throw new Error("Node not found for id: "+a);return y}getRelatedEdges(a,y){return this.checkNodeExistence(a),this.cacheEnabled?y==="in"?this.inEdgesMap.get(a):y==="out"?this.outEdgesMap.get(a):this.bothEdgesMap.get(a):this.graph.getRelatedEdges(a,y).filter(this.edgeFilter)}getDegree(a,y){return this.getRelatedEdges(a,y).length}getSuccessors(a){const x=this.getRelatedEdges(a,"out").map(b=>this.getNode(b.target));return Array.from(new Set(x))}getPredecessors(a){const x=this.getRelatedEdges(a,"in").map(b=>this.getNode(b.source));return Array.from(new Set(x))}getNeighbors(a){const y=this.getPredecessors(a),x=this.getSuccessors(a);return Array.from(new Set([...y,...x]))}hasEdge(a){if(!this.graph.hasEdge(a))return!1;const y=this.graph.getEdge(a);return this.edgeFilter(y)}getEdge(a){const y=this.graph.getEdge(a);if(!this.edgeFilter(y))throw new Error("Edge not found for id: "+a);return y}getEdgeDetail(a){const y=this.getEdge(a);return{edge:y,source:this.getNode(y.source),target:this.getNode(y.target)}}hasTreeStructure(a){return this.graph.hasTreeStructure(a)}getRoots(a){return this.graph.getRoots(a).filter(this.nodeFilter)}getChildren(a,y){return this.checkNodeExistence(a),this.graph.getChildren(a,y).filter(this.nodeFilter)}getParent(a,y){this.checkNodeExistence(a);const x=this.graph.getParent(a,y);return!x||!this.nodeFilter(x)?null:x}getAllNodes(){return this.cacheEnabled?Array.from(this.allNodesMap.values()):this.graph.getAllNodes().filter(this.nodeFilter)}getAllEdges(){return this.cacheEnabled?Array.from(this.allEdgesMap.values()):this.graph.getAllEdges().filter(this.edgeFilter)}bfs(a,y,x="out"){const b={in:this.getPredecessors.bind(this),out:this.getSuccessors.bind(this),both:this.getNeighbors.bind(this)}[x];ex([this.getNode(a)],new Set,y,b)}dfs(a,y,x="out"){const b={in:this.getPredecessors.bind(this),out:this.getSuccessors.bind(this),both:this.getNeighbors.bind(this)}[x];oy(this.getNode(a),new Set,y,b)}}class Xl extends iy{constructor(y){super();Pl(this,"nodeMap",new Map);Pl(this,"edgeMap",new Map);Pl(this,"inEdgesMap",new Map);Pl(this,"outEdgesMap",new Map);Pl(this,"bothEdgesMap",new Map);Pl(this,"treeIndices",new Map);Pl(this,"changes",[]);Pl(this,"batchCount",0);Pl(this,"onChanged",()=>{});Pl(this,"batch",y=>{this.batchCount+=1,y(),this.batchCount-=1,this.batchCount||this.commit()});y&&(y.nodes&&this.addNodes(y.nodes),y.edges&&this.addEdges(y.edges),y.tree&&this.addTree(y.tree),y.onChanged&&(this.onChanged=y.onChanged))}commit(){const y=this.changes;this.changes=[];const x={graph:this,changes:y};this.emit("changed",x),this.onChanged(x)}reduceChanges(y){let x=[];return y.forEach(b=>{switch(b.type){case"NodeRemoved":{let z=!1;x=x.filter(ee=>{if(ee.type==="NodeAdded"){const re=ee.value.id===b.value.id;return re&&(z=!0),!re}else{if(ee.type==="NodeDataUpdated")return ee.id!==b.value.id;if(ee.type==="TreeStructureChanged")return ee.nodeId!==b.value.id}return!0}),z||x.push(b);break}case"EdgeRemoved":{let z=!1;x=x.filter(ee=>{if(ee.type==="EdgeAdded"){const re=ee.value.id===b.value.id;return re&&(z=!0),!re}else if(ee.type==="EdgeDataUpdated"||ee.type==="EdgeUpdated")return ee.id!==b.value.id;return!0}),z||x.push(b);break}case"NodeDataUpdated":case"EdgeDataUpdated":case"EdgeUpdated":{const z=x.findIndex(re=>re.type===b.type&&re.id===b.id&&(b.propertyName===void 0||re.propertyName===b.propertyName)),ee=x[z];ee?b.propertyName!==void 0?ee.newValue=b.newValue:(x.splice(z,1),x.push(b)):x.push(b);break}case"TreeStructureDetached":{x=x.filter(z=>z.type==="TreeStructureAttached"||z.type==="TreeStructureChanged"?z.treeKey!==b.treeKey:!0),x.push(b);break}case"TreeStructureChanged":{const z=x.find(ee=>ee.type==="TreeStructureChanged"&&ee.treeKey===b.treeKey&&ee.nodeId===b.nodeId);z?z.newParentId=b.newParentId:x.push(b);break}default:x.push(b);break}}),x}checkNodeExistence(y){this.getNode(y)}hasNode(y){return this.nodeMap.has(y)}areNeighbors(y,x){return this.getNeighbors(x).some(b=>b.id===y)}getNode(y){const x=this.nodeMap.get(y);if(!x)throw new Error("Node not found for id: "+y);return x}getRelatedEdges(y,x){if(this.checkNodeExistence(y),x==="in"){const b=this.inEdgesMap.get(y);return Array.from(b)}else if(x==="out"){const b=this.outEdgesMap.get(y);return Array.from(b)}else{const b=this.bothEdgesMap.get(y);return Array.from(b)}}getDegree(y,x){return this.getRelatedEdges(y,x).length}getSuccessors(y){const b=this.getRelatedEdges(y,"out").map(z=>this.getNode(z.target));return Array.from(new Set(b))}getPredecessors(y){const b=this.getRelatedEdges(y,"in").map(z=>this.getNode(z.source));return Array.from(new Set(b))}getNeighbors(y){const x=this.getPredecessors(y),b=this.getSuccessors(y);return Array.from(new Set([...x,...b]))}doAddNode(y){if(this.hasNode(y.id))throw new Error("Node already exists: "+y.id);this.nodeMap.set(y.id,y),this.inEdgesMap.set(y.id,new Set),this.outEdgesMap.set(y.id,new Set),this.bothEdgesMap.set(y.id,new Set),this.treeIndices.forEach(x=>{x.childrenMap.set(y.id,new Set)}),this.changes.push({type:"NodeAdded",value:y})}addNodes(y){this.batch(()=>{for(const x of y)this.doAddNode(x)})}addNode(y){this.addNodes([y])}doRemoveNode(y){const x=this.getNode(y),b=this.bothEdgesMap.get(y);b==null||b.forEach(z=>this.doRemoveEdge(z.id)),this.nodeMap.delete(y),this.treeIndices.forEach(z=>{var re,ae;(re=z.childrenMap.get(y))==null||re.forEach(se=>{z.parentMap.delete(se.id)});const ee=z.parentMap.get(y);ee&&((ae=z.childrenMap.get(ee.id))==null||ae.delete(x)),z.parentMap.delete(y),z.childrenMap.delete(y)}),this.bothEdgesMap.delete(y),this.inEdgesMap.delete(y),this.outEdgesMap.delete(y),this.changes.push({type:"NodeRemoved",value:x})}removeNodes(y){this.batch(()=>{y.forEach(x=>this.doRemoveNode(x))})}removeNode(y){this.removeNodes([y])}updateNodeDataProperty(y,x,b){const z=this.getNode(y);this.batch(()=>{const ee=z.data[x],re=b;z.data[x]=re,this.changes.push({type:"NodeDataUpdated",id:y,propertyName:x,oldValue:ee,newValue:re})})}mergeNodeData(y,x){this.batch(()=>{Object.entries(x).forEach(([b,z])=>{this.updateNodeDataProperty(y,b,z)})})}updateNodeData(...y){const x=y[0],b=this.getNode(x);if(typeof y[1]=="string"){this.updateNodeDataProperty(x,y[1],y[2]);return}let z;if(typeof y[1]=="function"){const ee=y[1];z=ee(b.data)}else typeof y[1]=="object"&&(z=y[1]);this.batch(()=>{const ee=b.data,re=z;b.data=z,this.changes.push({type:"NodeDataUpdated",id:x,oldValue:ee,newValue:re})})}checkEdgeExistence(y){if(!this.hasEdge(y))throw new Error("Edge not found for id: "+y)}hasEdge(y){return this.edgeMap.has(y)}getEdge(y){return this.checkEdgeExistence(y),this.edgeMap.get(y)}getEdgeDetail(y){const x=this.getEdge(y);return{edge:x,source:this.getNode(x.source),target:this.getNode(x.target)}}doAddEdge(y){if(this.hasEdge(y.id))throw new Error("Edge already exists: "+y.id);this.checkNodeExistence(y.source),this.checkNodeExistence(y.target),this.edgeMap.set(y.id,y);const x=this.inEdgesMap.get(y.target),b=this.outEdgesMap.get(y.source),z=this.bothEdgesMap.get(y.source),ee=this.bothEdgesMap.get(y.target);x.add(y),b.add(y),z.add(y),ee.add(y),this.changes.push({type:"EdgeAdded",value:y})}addEdges(y){this.batch(()=>{for(const x of y)this.doAddEdge(x)})}addEdge(y){this.addEdges([y])}doRemoveEdge(y){const x=this.getEdge(y),b=this.outEdgesMap.get(x.source),z=this.inEdgesMap.get(x.target),ee=this.bothEdgesMap.get(x.source),re=this.bothEdgesMap.get(x.target);b.delete(x),z.delete(x),ee.delete(x),re.delete(x),this.edgeMap.delete(y),this.changes.push({type:"EdgeRemoved",value:x})}removeEdges(y){this.batch(()=>{y.forEach(x=>this.doRemoveEdge(x))})}removeEdge(y){this.removeEdges([y])}updateEdgeSource(y,x){const b=this.getEdge(y);this.checkNodeExistence(x);const z=b.source,ee=x;this.outEdgesMap.get(z).delete(b),this.bothEdgesMap.get(z).delete(b),this.outEdgesMap.get(ee).add(b),this.bothEdgesMap.get(ee).add(b),b.source=x,this.batch(()=>{this.changes.push({type:"EdgeUpdated",id:y,propertyName:"source",oldValue:z,newValue:ee})})}updateEdgeTarget(y,x){const b=this.getEdge(y);this.checkNodeExistence(x);const z=b.target,ee=x;this.inEdgesMap.get(z).delete(b),this.bothEdgesMap.get(z).delete(b),this.inEdgesMap.get(ee).add(b),this.bothEdgesMap.get(ee).add(b),b.target=x,this.batch(()=>{this.changes.push({type:"EdgeUpdated",id:y,propertyName:"target",oldValue:z,newValue:ee})})}updateEdgeDataProperty(y,x,b){const z=this.getEdge(y);this.batch(()=>{const ee=z.data[x],re=b;z.data[x]=re,this.changes.push({type:"EdgeDataUpdated",id:y,propertyName:x,oldValue:ee,newValue:re})})}updateEdgeData(...y){const x=y[0],b=this.getEdge(x);if(typeof y[1]=="string"){this.updateEdgeDataProperty(x,y[1],y[2]);return}let z;if(typeof y[1]=="function"){const ee=y[1];z=ee(b.data)}else typeof y[1]=="object"&&(z=y[1]);this.batch(()=>{const ee=b.data,re=z;b.data=z,this.changes.push({type:"EdgeDataUpdated",id:x,oldValue:ee,newValue:re})})}mergeEdgeData(y,x){this.batch(()=>{Object.entries(x).forEach(([b,z])=>{this.updateEdgeDataProperty(y,b,z)})})}checkTreeExistence(y){if(!this.hasTreeStructure(y))throw new Error("Tree structure not found for treeKey: "+y)}hasTreeStructure(y){return this.treeIndices.has(y)}attachTreeStructure(y){this.treeIndices.has(y)||(this.treeIndices.set(y,{parentMap:new Map,childrenMap:new Map}),this.batch(()=>{this.changes.push({type:"TreeStructureAttached",treeKey:y})}))}detachTreeStructure(y){this.checkTreeExistence(y),this.treeIndices.delete(y),this.batch(()=>{this.changes.push({type:"TreeStructureDetached",treeKey:y})})}addTree(y,x){this.batch(()=>{this.attachTreeStructure(x);const b=[],z=Array.isArray(y)?y:[y];for(;z.length;){const ee=z.shift();b.push(ee),ee.children&&z.push(...ee.children)}this.addNodes(b),b.forEach(ee=>{var re;(re=ee.children)==null||re.forEach(ae=>{this.setParent(ae.id,ee.id,x)})})})}getRoots(y){return this.checkTreeExistence(y),this.getAllNodes().filter(x=>!this.getParent(x.id,y))}getChildren(y,x){this.checkNodeExistence(y),this.checkTreeExistence(x);const z=this.treeIndices.get(x).childrenMap.get(y);return Array.from(z||[])}getParent(y,x){return this.checkNodeExistence(y),this.checkTreeExistence(x),this.treeIndices.get(x).parentMap.get(y)||null}getAncestors(y,x){const b=[];let z=this.getNode(y),ee;for(;ee=this.getParent(z.id,x);)b.push(ee),z=ee;return b}setParent(y,x,b){var fe,me;this.checkTreeExistence(b);const z=this.treeIndices.get(b);if(!z)return;const ee=this.getNode(y),re=z.parentMap.get(y);if((re==null?void 0:re.id)===x)return;if(x==null){re&&((fe=z.childrenMap.get(re.id))==null||fe.delete(ee)),z.parentMap.delete(y);return}const ae=this.getNode(x);z.parentMap.set(y,ae),re&&((me=z.childrenMap.get(re.id))==null||me.delete(ee));let se=z.childrenMap.get(ae.id);se||(se=new Set,z.childrenMap.set(ae.id,se)),se.add(ee),this.batch(()=>{this.changes.push({type:"TreeStructureChanged",treeKey:b,nodeId:y,oldParentId:re==null?void 0:re.id,newParentId:ae.id})})}dfsTree(y,x,b){const z=ee=>this.getChildren(ee,b);return oy(this.getNode(y),new Set,x,z)}bfsTree(y,x,b){const z=ee=>this.getChildren(ee,b);return ex([this.getNode(y)],new Set,x,z)}getAllNodes(){return Array.from(this.nodeMap.values())}getAllEdges(){return Array.from(this.edgeMap.values())}bfs(y,x,b="out"){const z={in:this.getPredecessors.bind(this),out:this.getSuccessors.bind(this),both:this.getNeighbors.bind(this)}[b];return ex([this.getNode(y)],new Set,x,z)}dfs(y,x,b="out"){const z={in:this.getPredecessors.bind(this),out:this.getSuccessors.bind(this),both:this.getNeighbors.bind(this)}[b];return oy(this.getNode(y),new Set,x,z)}clone(){const y=this.getAllNodes().map(z=>NS(k0({},z),{data:k0({},z.data)})),x=this.getAllEdges().map(z=>NS(k0({},z),{data:k0({},z.data)})),b=new Xl({nodes:y,edges:x});return this.treeIndices.forEach(({parentMap:z,childrenMap:ee},re)=>{const ae=new Map;z.forEach((fe,me)=>{ae.set(me,b.getNode(fe.id))});const se=new Map;ee.forEach((fe,me)=>{se.set(me,new Set(Array.from(fe).map(Ae=>b.getNode(Ae.id))))}),b.treeIndices.set(re,{parentMap:ae,childrenMap:se})}),b}toJSON(){return JSON.stringify({nodes:this.getAllNodes(),edges:this.getAllEdges()})}createView(y){return new uk(k0({graph:this},y))}}class sy{constructor(a,y){this.context=a,this.options=y||{}}}var ck=function(E,a,y,x){function b(z){return z instanceof y?z:new y(function(ee){ee(z)})}return new(y||(y=Promise))(function(z,ee){function re(fe){try{se(x.next(fe))}catch(me){ee(me)}}function ae(fe){try{se(x.throw(fe))}catch(me){ee(me)}}function se(fe){fe.done?z(fe.value):b(fe.value).then(re,ae)}se((x=x.apply(E,a||[])).next())})},dk=function(E,a){var y={};for(var x in E)Object.prototype.hasOwnProperty.call(E,x)&&a.indexOf(x)<0&&(y[x]=E[x]);if(E!=null&&typeof Object.getOwnPropertySymbols=="function")for(var b=0,x=Object.getOwnPropertySymbols(E);b{const z=b.data._isCombo?x.combos:x.nodes,{x:ee,y:re,z:ae=0}=b.data;z==null||z.push({id:b.id,style:{x:ee,y:re,z:ae}})}),y.forEach(b=>{const{id:z,source:ee,target:re,data:{points:ae=[],controlPoints:se=ae.slice(1,ae.length-1)}}=b;x.edges.push({id:z,source:ee,target:re,style:Object.assign({},se!=null&&se.length?{controlPoints:se.map(Ou)}:{})})}),x}function gk(E,a){class y extends sy{constructor(b,z){if(super(b,z),this.instance=new E({}),this.id=this.instance.id,"stop"in this.instance&&"tick"in this.instance){const ee=this.instance;this.stop=ee.stop.bind(ee),this.tick=re=>{const ae=ee.tick(re);return ly(ae)}}}execute(b,z){return ck(this,void 0,void 0,function*(){return ly(yield this.instance.execute(this.graphData2LayoutModel(b),this.transformOptions(nc({},this.options,z))))})}transformOptions(b){if(!("onTick"in b))return b;const z=b.onTick;return b.onTick=ee=>z(ly(ee)),b}graphData2LayoutModel(b){const{nodes:z=[],edges:ee=[],combos:re=[]}=b,ae=z.map(Le=>{const ke=Nr(Le),{data:We,style:je,combo:Ke}=Le,Ze=dk(Le,["data","style","combo"]),Je={id:ke,data:Object.assign(Object.assign(Object.assign(Object.assign(Object.assign({},We),{data:We}),Ke?{parentId:Ke}:{}),{style:je}),Ze)};return je!=null&&je.x&&Object.assign(Je.data,{x:je.x}),je!=null&&je.y&&Object.assign(Je.data,{y:je.y}),je!=null&&je.z&&Object.assign(Je.data,{z:je.z}),Je}),se=new Map(ae.map(Le=>[Le.id,Le])),fe=ee.filter(Le=>{const{source:ke,target:We}=Le;return se.has(ke)&&se.has(We)}).map(Le=>{const{source:ke,target:We,data:je,style:Ke}=Le;return{id:Nr(Le),source:ke,target:We,data:Object.assign({},je),style:Object.assign({},Ke)}}),me=re.map(Le=>({id:Nr(Le),data:Object.assign({_isCombo:!0},Le.data),style:Object.assign({},Le.style)})),Ae=new Xl({nodes:[...ae,...me],edges:fe});return a.model.model.hasTreeStructure(ll)&&(Ae.attachTreeStructure(ll),ae.forEach(Le=>{const ke=a.model.model.getParent(Le.id,ll);ke&&Ae.hasNode(ke.id)&&Ae.setParent(Le.id,ke.id,ll)})),Ae}}return y}function tx(E,a,...y){if(a in E)return E[a](...y);if("instance"in E){const x=E.instance;if(a in x)return x[a](...y)}return null}function t5(E,a){if(a in E)return E[a];if("instance"in E){const y=E.instance;if(a in y)return y[a]}return null}var vk=function(E,a,y,x){function b(z){return z instanceof y?z:new y(function(ee){ee(z)})}return new(y||(y=Promise))(function(z,ee){function re(fe){try{se(x.next(fe))}catch(me){ee(me)}}function ae(fe){try{se(x.throw(fe))}catch(me){ee(me)}}function se(fe){fe.done?z(fe.value):b(fe.value).then(re,ae)}se((x=x.apply(E,a||[])).next())})};class mk extends Dv{get forceLayoutInstance(){return this.context.layout.getLayoutInstance().find(a=>["d3-force","d3-force-3d"].includes(a==null?void 0:a.id))}validate(a){return this.context.layout?this.forceLayoutInstance?super.validate(a):(Ac.warn("DragElementForce only works with d3-force or d3-force-3d layout"),!1):!1}moveElement(a,y){return vk(this,void 0,void 0,function*(){const x=this.forceLayoutInstance;this.context.graph.getNodeData(a).forEach((b,z)=>{const{x:ee=0,y:re=0}=b.style||{};x&&tx(x,"setFixedPosition",a[z],[...es([+ee,+re],y)])})})}onDragStart(a){if(this.enable=this.validate(a),!this.enable)return;this.target=this.getSelectedNodeIDs([a.target.id]),this.hideEdge(),this.context.graph.frontElement(this.target);const y=this.forceLayoutInstance;y&&t5(y,"simulation").alphaTarget(.3).restart(),this.context.graph.getNodeData(this.target).forEach(x=>{const{x:b=0,y:z=0}=x.style||{};y&&tx(y,"setFixedPosition",Nr(x),[+b,+z])})}onDrag(a){if(!this.enable)return;const y=this.getDelta(a);this.moveElement(this.target,y)}onDragEnd(){const a=this.forceLayoutInstance;a&&t5(a,"simulation").alphaTarget(0),!this.options.fixed&&this.context.graph.getNodeData(this.target).forEach(y=>{a&&tx(a,"setFixedPosition",Nr(y),[null,null,null])})}}var n5=function(E,a,y,x){function b(z){return z instanceof y?z:new y(function(ee){ee(z)})}return new(y||(y=Promise))(function(z,ee){function re(fe){try{se(x.next(fe))}catch(me){ee(me)}}function ae(fe){try{se(x.throw(fe))}catch(me){ee(me)}}function se(fe){fe.done?z(fe.value):b(fe.value).then(re,ae)}se((x=x.apply(E,a||[])).next())})};class uy extends _c{constructor(a,y){super(a,Object.assign({},uy.defaultOptions,y)),this.isZoomEvent=x=>!!(x.data&&"scale"in x.data),this.relatedEdgeToUpdate=new Set,this.zoom=this.context.graph.getZoom(),this.fixElementSize=x=>n5(this,void 0,void 0,function*(){if(!this.validate(x))return;const{graph:b}=this.context,{state:z,nodeFilter:ee,edgeFilter:re,comboFilter:ae}=this.options,se=(z?b.getElementDataByState("node",z):b.getNodeData()).filter(ee),fe=(z?b.getElementDataByState("edge",z):b.getEdgeData()).filter(re),me=(z?b.getElementDataByState("combo",z):b.getComboData()).filter(ae),Ae=this.isZoomEvent(x)?this.zoom=Math.max(.01,Math.min(x.data.scale,10)):this.zoom,Le=[...se,...me];Le.length>0&&Le.forEach(ke=>this.fixNodeLike(ke,Ae)),this.updateRelatedEdges(),fe.length>0&&fe.forEach(ke=>this.fixEdge(ke,Ae))}),this.cachedStyles=new Map,this.getOriginalFieldValue=(x,b,z)=>{var ee;const re=this.cachedStyles.get(x)||[],ae=((ee=re.find(se=>se.shape===b))===null||ee===void 0?void 0:ee.style)||{};return z in ae||(ae[z]=b.attributes[z],this.cachedStyles.set(x,[...re.filter(se=>se.shape!==b),{shape:b,style:ae}])),ae[z]},this.scaleEntireElement=(x,b,z)=>{b.setLocalScale(1/z);const ee=this.cachedStyles.get(x)||[];ee.push({shape:b}),this.cachedStyles.set(x,ee)},this.scaleSpecificShapes=(x,b,z)=>{const ee=oF(x);(Array.isArray(z)?z:[z]).forEach(ae=>{const{shape:se,fields:fe}=ae,me=typeof se=="function"?se(ee):x.getShape(se);if(me){if(!fe){this.scaleEntireElement(x.id,me,b);return}fe.forEach(Ae=>{const Le=this.getOriginalFieldValue(x.id,me,Ae);ji(Le)&&(me.style[Ae]=Le/b)})}})},this.skipIfExceedViewport=x=>{const{viewport:b}=this.context;return!(b!=null&&b.isInViewport(x.getRenderBounds(),!1,30))},this.fixNodeLike=(x,b)=>{const z=Nr(x),{element:ee,model:re}=this.context,ae=ee.getElement(z);if(!ae||this.skipIfExceedViewport(ae))return;re.getRelatedEdgesData(z).forEach(me=>this.relatedEdgeToUpdate.add(Nr(me)));const fe=this.options[ae.type];if(!fe){this.scaleEntireElement(z,ae,b);return}this.scaleSpecificShapes(ae,b,fe)},this.fixEdge=(x,b)=>{const z=Nr(x),ee=this.context.element.getElement(z);if(!ee||this.skipIfExceedViewport(ee))return;const re=this.options.edge;if(!re){ee.style.transformOrigin="center",this.scaleEntireElement(z,ee,b);return}this.scaleSpecificShapes(ee,b,re)},this.updateRelatedEdges=()=>{const{element:x}=this.context;this.relatedEdgeToUpdate.size>0&&this.relatedEdgeToUpdate.forEach(b=>{const z=x.getElement(b);z==null||z.update({})}),this.relatedEdgeToUpdate.clear()},this.resetTransform=x=>n5(this,void 0,void 0,function*(){var b;!((b=x.data)===null||b===void 0)&&b.firstRender||(this.options.reset?this.restoreCachedStyles():this.fixElementSize({data:{scale:this.zoom}}))}),this.bindEvents()}restoreCachedStyles(){if(this.cachedStyles.size>0){this.cachedStyles.forEach(b=>{b.forEach(({shape:z,style:ee})=>{if(cf(ee))z.setLocalScale(1);else{if(this.options.state)return;Object.entries(ee).forEach(([re,ae])=>z.style[re]=ae)}})});const{graph:a,element:y}=this.context,x=Object.keys(Object.fromEntries(this.cachedStyles)).filter(b=>b&&a.getElementType(b)==="node");if(x.length>0){const b=new Set;x.forEach(z=>{a.getRelatedEdgesData(z).forEach(ee=>b.add(Nr(ee)))}),b.forEach(z=>{const ee=y==null?void 0:y.getElement(z);ee==null||ee.update({})})}}}bindEvents(){const{graph:a}=this.context;a.on(gi.AFTER_DRAW,this.resetTransform),a.on(gi.AFTER_TRANSFORM,this.fixElementSize)}unbindEvents(){const{graph:a}=this.context;a.off(gi.AFTER_DRAW,this.resetTransform),a.off(gi.AFTER_TRANSFORM,this.fixElementSize)}validate(a){if(this.destroyed)return!1;const{enable:y}=this.options;return qi(y)?y(a):!!y}destroy(){this.unbindEvents(),super.destroy()}}uy.defaultOptions={enable:E=>E.data.scale<1,nodeFilter:()=>!0,edgeFilter:()=>!0,comboFilter:()=>!0,edge:[{shape:"key",fields:["lineWidth"]},{shape:"halo",fields:["lineWidth"]},{shape:"label"}],reset:!1};var pk=function(E,a,y,x){function b(z){return z instanceof y?z:new y(function(ee){ee(z)})}return new(y||(y=Promise))(function(z,ee){function re(fe){try{se(x.next(fe))}catch(me){ee(me)}}function ae(fe){try{se(x.throw(fe))}catch(me){ee(me)}}function se(fe){fe.done?z(fe.value):b(fe.value).then(re,ae)}se((x=x.apply(E,a||[])).next())})};class cy extends _c{constructor(a,y){super(a,Object.assign({},cy.defaultOptions,y)),this.focus=x=>pk(this,void 0,void 0,function*(){if(!this.validate(x))return;const{graph:b}=this.context;yield b.focusElement(x.target.id,this.options.animation)}),this.bindEvents()}bindEvents(){const{graph:a}=this.context;this.unbindEvents(),pg.forEach(y=>{a.on(`${y}:${Ea.CLICK}`,this.focus)})}validate(a){if(this.destroyed)return!1;const{enable:y}=this.options;return qi(y)?y(a):!!y}unbindEvents(){const{graph:a}=this.context;pg.forEach(y=>{a.off(`${y}:${Ea.CLICK}`,this.focus)})}destroy(){this.unbindEvents(),super.destroy()}}cy.defaultOptions={animation:{easing:"ease-in",duration:500},enable:!0};class dy extends _c{constructor(a,y){super(a,Object.assign({},dy.defaultOptions,y)),this.isFrozen=!1,this.toggleFrozen=x=>{this.isFrozen=x.type==="dragstart"},this.hoverElement=x=>{if(!this.validate(x))return;const b=x.type===Ea.POINTER_ENTER;this.updateElementsState(x,b);const{onHover:z,onHoverEnd:ee}=this.options;b?z==null||z(x):ee==null||ee(x)},this.updateElementsState=(x,b)=>{if(!this.options.state&&!this.options.inactiveState)return;const{graph:z}=this.context,{state:ee,animation:re,inactiveState:ae}=this.options,se=this.getActiveIds(x),fe={};if(ee&&Object.assign(fe,this.getElementsState(se,ee,b)),ae){const me=j2(z.getData(),!0).filter(Ae=>!se.includes(Ae));Object.assign(fe,this.getElementsState(me,ae,b))}z.setElementState(fe,re)},this.getElementsState=(x,b,z)=>{const{graph:ee}=this.context,re={};return x.forEach(ae=>{const se=ee.getElementState(ae);z?re[ae]=se.includes(b)?se:[...se,b]:re[ae]=se.filter(fe=>fe!==b)}),re},this.bindEvents()}bindEvents(){const{graph:a}=this.context;this.unbindEvents(),pg.forEach(x=>{a.on(`${x}:${Ea.POINTER_ENTER}`,this.hoverElement),a.on(`${x}:${Ea.POINTER_LEAVE}`,this.hoverElement)});const y=this.context.canvas.document;y.addEventListener(`${Ea.DRAG_START}`,this.toggleFrozen),y.addEventListener(`${Ea.DRAG_END}`,this.toggleFrozen)}getActiveIds(a){const{graph:y}=this.context,{degree:x,direction:b}=this.options,z=a.target.id;return x?aw(y,a.targetType,z,typeof x=="function"?x(a):x,b):[z]}validate(a){if(this.destroyed||this.isFrozen||wv(a.target)||this.context.graph.isCollapsingExpanding)return!1;const{enable:y}=this.options;return qi(y)?y(a):!!y}unbindEvents(){const{graph:a}=this.context;pg.forEach(x=>{a.off(`${x}:${Ea.POINTER_ENTER}`,this.hoverElement),a.off(`${x}:${Ea.POINTER_LEAVE}`,this.hoverElement)});const y=this.context.canvas.document;y.removeEventListener(`${Ea.DRAG_START}`,this.toggleFrozen),y.removeEventListener(`${Ea.DRAG_END}`,this.toggleFrozen)}destroy(){this.unbindEvents(),super.destroy()}}dy.defaultOptions={animation:!1,enable:!0,degree:0,direction:"both",state:"active",inactiveState:void 0};class yk extends pv{onPointerDown(a){if(!super.validate(a)||!super.isKeydown()||this.points)return;const{canvas:y}=this.context;this.pathShape=new Rc({id:"g6-lasso-select",style:this.options.style}),y.appendChild(this.pathShape),this.points=[Mp(a)]}onPointerMove(a){var y;if(!this.points)return;const{immediately:x,mode:b}=this.options;this.points.push(Mp(a)),(y=this.pathShape)===null||y===void 0||y.setAttribute("d",tF(this.points)),x&&b==="default"&&this.points.length>2&&super.updateElementsStates(this.points)}onPointerUp(){if(this.points){if(this.points.length<2){this.clearLasso();return}super.updateElementsStates(this.points),this.clearLasso()}}clearLasso(){var a;(a=this.pathShape)===null||a===void 0||a.remove(),this.pathShape=void 0,this.points=void 0}}class fy extends _c{constructor(a,y){super(a,Object.assign({},fy.defaultOptions,y)),this.hiddenShapes=[],this.isVisible=!0,this.setElementsVisibility=(x,b,z)=>{x.filter(Boolean).forEach(ee=>{b==="hidden"&&!ee.isVisible()?this.hiddenShapes.push(ee):b==="visible"&&this.hiddenShapes.includes(ee)?this.hiddenShapes.splice(this.hiddenShapes.indexOf(ee),1):vg(ee,b,z)})},this.filterShapes=(x,b)=>{if(qi(b))return ee=>!b(x,ee);const z=b==null?void 0:b[x];return ee=>ee.className?!(z!=null&&z.includes(ee.className)):!0},this.hideShapes=x=>{if(!this.validate(x)||!this.isVisible)return;const{element:b}=this.context,{shapes:z={}}=this.options;this.setElementsVisibility(b.getNodes(),"hidden",this.filterShapes("node",z)),this.setElementsVisibility(b.getEdges(),"hidden",this.filterShapes("edge",z)),this.setElementsVisibility(b.getCombos(),"hidden",this.filterShapes("combo",z)),this.isVisible=!1},this.showShapes=Mv(x=>{if(!this.validate(x)||this.isVisible)return;const{element:b}=this.context;this.setElementsVisibility(b.getNodes(),"visible"),this.setElementsVisibility(b.getEdges(),"visible"),this.setElementsVisibility(b.getCombos(),"visible"),this.isVisible=!0},this.options.debounce),this.bindEvents()}bindEvents(){const{graph:a}=this.context;a.on(gi.BEFORE_TRANSFORM,this.hideShapes),a.on(gi.AFTER_TRANSFORM,this.showShapes)}unbindEvents(){const{graph:a}=this.context;a.off(gi.BEFORE_TRANSFORM,this.hideShapes),a.off(gi.AFTER_TRANSFORM,this.showShapes)}validate(a){if(this.destroyed)return!1;const{enable:y}=this.options;return qi(y)?y(a):!!y}update(a){this.unbindEvents(),super.update(a),this.bindEvents()}destroy(){this.unbindEvents(),super.destroy()}}fy.defaultOptions={enable:!0,debounce:200,shapes:E=>E==="node"};var r5=function(E,a,y,x){function b(z){return z instanceof y?z:new y(function(ee){ee(z)})}return new(y||(y=Promise))(function(z,ee){function re(fe){try{se(x.next(fe))}catch(me){ee(me)}}function ae(fe){try{se(x.throw(fe))}catch(me){ee(me)}}function se(fe){fe.done?z(fe.value):b(fe.value).then(re,ae)}se((x=x.apply(E,a||[])).next())})};class hy extends _c{constructor(a,y){super(a,Object.assign({},hy.defaultOptions,y)),this.onWheel=x=>r5(this,void 0,void 0,function*(){this.options.preventDefault&&x.preventDefault();const b=x.deltaX,z=x.deltaY;yield this.scroll([-b,-z],x)}),this.shortcut=new f0(a.graph),this.bindEvents()}update(a){super.update(a),this.bindEvents()}bindEvents(){var a,y;const{trigger:x}=this.options;if(this.shortcut.unbindAll(),Vl(x)){(a=this.graphDom)===null||a===void 0||a.removeEventListener(Ea.WHEEL,this.onWheel);const{up:b=[],down:z=[],left:ee=[],right:re=[]}=x;this.shortcut.bind(b,ae=>this.scroll([0,-10],ae)),this.shortcut.bind(z,ae=>this.scroll([0,10],ae)),this.shortcut.bind(ee,ae=>this.scroll([-10,0],ae)),this.shortcut.bind(re,ae=>this.scroll([10,0],ae))}else(y=this.graphDom)===null||y===void 0||y.addEventListener(Ea.WHEEL,this.onWheel,{passive:!1})}get graphDom(){return this.context.graph.getCanvas().getContextService().getDomElement()}formatDisplacement(a){const{sensitivity:y}=this.options;return a=Bd(a,y),a=this.clampByDirection(a),a=this.clampByRange(a),a}clampByDirection([a,y]){const{direction:x}=this.options;return x==="x"?y=0:x==="y"&&(a=0),[a,y]}clampByRange([a,y]){const{viewport:x,canvas:b}=this.context,[z,ee]=b.getSize(),[re,ae,se,fe]=Od(this.options.range),me=[ee*re,z*ae,ee*se,z*fe],Ae=uh(dA(x.getCanvasCenter()),me),Le=il(x.getViewportCenter(),[a,y,0]);if(!Td(Le,Ae)){const{min:[ke,We],max:[je,Ke]}=Ae;(Le[0]0||Le[0]>je&&a<0)&&(a=0),(Le[1]0||Le[1]>Ke&&y<0)&&(y=0)}return[a,y]}scroll(a,y){return r5(this,void 0,void 0,function*(){if(!this.validate(y))return;const{onFinish:x}=this.options,b=this.context.graph,z=this.formatDisplacement(a);yield b.translateBy(z,!1),x==null||x()})}validate(a){if(this.destroyed)return!1;const{enable:y}=this.options;return qi(y)?y(a):!!y}destroy(){var a;this.shortcut.destroy(),(a=this.graphDom)===null||a===void 0||a.removeEventListener(Ea.WHEEL,this.onWheel),super.destroy()}}hy.defaultOptions={enable:!0,sensitivity:1,preventDefault:!0,range:1/0};var a5=function(E,a,y,x){function b(z){return z instanceof y?z:new y(function(ee){ee(z)})}return new(y||(y=Promise))(function(z,ee){function re(fe){try{se(x.next(fe))}catch(me){ee(me)}}function ae(fe){try{se(x.throw(fe))}catch(me){ee(me)}}function se(fe){fe.done?z(fe.value):b(fe.value).then(re,ae)}se((x=x.apply(E,a||[])).next())})};class gy extends _c{constructor(a,y){super(a,Object.assign({},gy.defaultOptions,y)),this.zoom=(x,b,z)=>a5(this,void 0,void 0,function*(){if(!this.validate(b))return;const{graph:ee}=this.context;let re=this.options.origin;!re&&"viewport"in b&&(re=Ou(b.viewport));const{sensitivity:ae,onFinish:se}=this.options,fe=1+Dl(x,-50,50)*ae/100,me=ee.getZoom();yield ee.zoomTo(me*fe,z,re),se==null||se()}),this.onReset=()=>a5(this,void 0,void 0,function*(){yield this.context.graph.zoomTo(1,this.options.animation)}),this.preventDefault=x=>{this.options.preventDefault&&x.preventDefault()},this.shortcut=new f0(a.graph),this.bindEvents()}update(a){super.update(a),this.bindEvents()}bindEvents(){const{trigger:a}=this.options;if(this.shortcut.unbindAll(),Array.isArray(a))if(a.includes(Ea.PINCH))this.shortcut.bind([Ea.PINCH],y=>{this.zoom(y.scale,y,!1)});else{const y=this.context.canvas.getContainer();y==null||y.addEventListener(Ea.WHEEL,this.preventDefault),this.shortcut.bind([...a,Ea.WHEEL],x=>{const{deltaX:b,deltaY:z}=x;this.zoom(-(z!=null?z:b),x,!1)})}if(typeof a=="object"){const{zoomIn:y=[],zoomOut:x=[],reset:b=[]}=a;this.shortcut.bind(y,z=>this.zoom(10,z,this.options.animation)),this.shortcut.bind(x,z=>this.zoom(-10,z,this.options.animation)),this.shortcut.bind(b,this.onReset)}}validate(a){if(this.destroyed)return!1;const{enable:y}=this.options;return qi(y)?y(a):!!y}destroy(){var a;this.shortcut.destroy(),(a=this.context.canvas.getContainer())===null||a===void 0||a.removeEventListener(Ea.WHEEL,this.preventDefault),super.destroy()}}gy.defaultOptions={animation:{duration:200},enable:!0,sensitivity:1,trigger:[],preventDefault:!0};var vy=Ie(13722);const Ek=(E,a)=>{if(E!=="next"&&E!=="prev")return a},i5=E=>{E.prev.next=E.next,E.next.prev=E.prev,delete E.next,delete E.prev};class Ak{constructor(){const a={};a.prev=a,a.next=a.prev,this.shortcut=a}dequeue(){const a=this.shortcut,y=a.prev;if(y&&y!==a)return i5(y),y}enqueue(a){const y=this.shortcut;a.prev&&a.next&&i5(a),a.next=y.next,y.next.prev=a,y.next=a,a.prev=y}toString(){const a=[],y=this.shortcut;let x=y.prev;for(;x!==y;)a.push(JSON.stringify(x,Ek)),x=x==null?void 0:x.prev;return`[${a.join(", ")}]`}}class xk extends Ak{}const Sk=()=>1,bk=(E,a)=>{var y;if(E.getAllNodes().length<=1)return[];const x=Pk(E,a||Sk);return(y=Ck(x.graph,x.buckets,x.zeroIdx).map(z=>E.getRelatedEdges(z.v,"out").filter(({target:ee})=>ee===z.w)))===null||y===void 0?void 0:y.flat()},Ck=(E,a,y)=>{let x=[];const 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a=0,y=E.length;a{const{nodeStrength:Ae,x:Le,y:ke,z:We,size:je}=fe.data;return{x:Le,y:ke,z:We,size:je,index:me,id:fe.id,vx:0,vy:0,vz:0,weight:z*Ae}}),ae=(b===2?my(re,fe=>fe.x,fe=>fe.y):K5(re,fe=>fe.x,fe=>fe.y,fe=>fe.z)).visitAfter(Q_),se=new Map;return re.forEach(fe=>{se.set(fe.id,fe),X_(fe,ae,b)}),re.map((fe,me)=>{const{id:Ae,data:Le}=ee[me],{mass:ke=1}=Le;x[Ae]={x:fe.vx/ke,y:fe.vy/ke,z:fe.vz/ke}}),x}function Q_(E){let a=0,y=0,x=0,b=0,z=0;const ee=E.length;if(ee){for(let re=0;re{var re;if(((re=E.data)===null||re===void 0?void 0:re.id)===z.id)return;const ae=[y,x,b][ee-1],se=z.x-E.x||vx,fe=z.y-E.y||vx,me=z.z-E.z||vx,Ae=[se,fe,me],Le=ae-a;let ke=0;for(let Ke=0;KeY_(x,b,z,ee,re,E,y))}const J_={dimensions:2,maxIteration:500,gravity:10,factor:1,edgeStrength:50,nodeStrength:1e3,coulombDisScale:.005,damping:.9,maxSpeed:200,minMovement:.4,interval:.02,linkDistance:200,clusterNodeStrength:20,preventOverlap:!0,distanceThresholdMode:"mean"};class 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b=Object.assign(Object.assign({},this.options),x),z=y.getAllNodes(),ee=y.getAllEdges(),re=this.formatOptions(b,y),{dimensions:ae,width:se,height:fe,nodeSize:me,getMass:Ae,nodeStrength:Le,edgeStrength:ke,linkDistance:We}=re,je=z.map((ut,wt)=>Object.assign(Object.assign({},ut),{data:Object.assign(Object.assign({},ut.data),{x:ji(ut.data.x)?ut.data.x:Math.random()*se,y:ji(ut.data.y)?ut.data.y:Math.random()*fe,z:ji(ut.data.z)?ut.data.z:Math.random()*Math.sqrt(se*fe),size:me(ut)||30,mass:Ae(ut),nodeStrength:Le(ut)})})),Ke=ee.map(ut=>Object.assign(Object.assign({},ut),{data:Object.assign(Object.assign({},ut.data),{edgeStrength:ke(ut),linkDistance:We(ut,y.getNode(ut.source),y.getNode(ut.target))})}));if(!(z!=null&&z.length))return this.lastResult={nodes:[],edges:ee},{nodes:[],edges:ee};const Ze={};z.forEach((ut,wt)=>{Ze[ut.id]={x:0,y:0,z:0}});const Je=new Xl({nodes:je,edges:Ke});this.formatCentripetal(re,Je);const{maxIteration:tt,minMovement:at,onTick:st}=re;if(this.lastLayoutNodes=je,this.lastLayoutEdges=Ke,this.lastAssign=a,this.lastGraph=y,this.lastCalcGraph=Je,this.lastOptions=re,this.lastVelMap=Ze,typeof window=="undefined")return;let dt=0;return new Promise(ut=>{this.timeInterval=window.setInterval(()=>{(!z||!this.running)&&ut({nodes:mx(y,je),edges:ee}),this.runOneStep(Je,y,dt,Ze,re),this.updatePosition(y,Je,Ze,re),a&&je.forEach(wt=>y.mergeNodeData(wt.id,{x:wt.data.x,y:wt.data.y,z:ae===3?wt.data.z:void 0})),st==null||st({nodes:mx(y,je),edges:ee}),dt++,(dt>=tt||this.judgingDistance{let se=1;ji(ae==null?void 0:ae.data.mass)&&(se=ae==null?void 0:ae.data.mass);const fe=y.getDegree(ae.id,"both");return!fe||fe<5?se:fe*5*se}),x.nodeSize=cx(a.nodeSize,a.nodeSpacing);const re=a.linkDistance?Cg(1,a.linkDistance):ae=>1+x.nodeSize(y.getNode(ae.source))+x.nodeSize(y.getNode(ae.target));return x.linkDistance=re,x.nodeStrength=Cg(1,a.nodeStrength),x.edgeStrength=Cg(1,a.edgeStrength),x}formatCentripetal(a,y){const{dimensions:x,centripetalOptions:b,center:z,clusterNodeStrength:ee,leafCluster:re,clustering:ae,nodeClusterBy:se}=a,fe=y.getAllNodes(),me=b||{leaf:2,single:2,others:1,center:Ke=>({x:z[0],y:z[1],z:x===3?z[2]:void 0})};typeof ee!="function"&&(a.clusterNodeStrength=Ke=>ee);let Ae,Le;if(re&&se&&(Ae=Y5(y,se),Le=Array.from(new Set(fe==null?void 0:fe.map(Ke=>Ke.data[se])))||[],a.centripetalOptions=Object.assign(me,{single:100,leaf:Ke=>{const{siblingLeaves:Ze,sameTypeLeaves:Je}=Ae[Ke.id]||{};return(Je==null?void 0:Je.length)===(Ze==null?void 0:Ze.length)||(Le==null?void 0:Le.length)===1?1:a.clusterNodeStrength(Ke)},others:1,center:Ke=>{const Ze=y.getDegree(Ke.id,"both");if(!Ze)return{x:100,y:100,z:0};let Je;if(Ze===1){const{sameTypeLeaves:tt=[]}=Ae[Ke.id]||{};tt.length===1?Je=void 0:tt.length>1&&(Je=X5(tt))}else Je=void 0;return{x:Je==null?void 0:Je.x,y:Je==null?void 0:Je.y,z:Je==null?void 0:Je.z}}})),ae&&se){Ae||(Ae=Y5(y,se)),Le||(Le=Array.from(new Set(fe.map(Ze=>Ze.data[se])))),Le=Le.filter(Ze=>Ze!==void 0);const Ke={};Le.forEach(Ze=>{const Je=fe.filter(tt=>tt.data[se]===Ze).map(tt=>y.getNode(tt.id));Ke[Ze]=X5(Je)}),a.centripetalOptions=Object.assign(me,{single:Ze=>a.clusterNodeStrength(Ze),leaf:Ze=>a.clusterNodeStrength(Ze),others:Ze=>a.clusterNodeStrength(Ze),center:Ze=>{const Je=Ke[Ze.data[se]];return{x:Je==null?void 0:Je.x,y:Je==null?void 0:Je.y,z:Je==null?void 0:Je.z}}})}const{leaf:ke,single:We,others:je}=a.centripetalOptions||{};ke&&typeof ke!="function"&&(a.centripetalOptions.leaf=()=>ke),We&&typeof We!="function"&&(a.centripetalOptions.single=()=>We),je&&typeof je!="function"&&(a.centripetalOptions.others=()=>je)}runOneStep(a,y,x,b,z){const ee={},re=a.getAllNodes(),ae=a.getAllEdges();if(!(re!=null&&re.length))return;const{monitor:se}=z;if(this.calRepulsive(a,ee,z),ae&&this.calAttractive(a,ee,z),this.calGravity(a,y,ee,z),this.updateVelocity(a,ee,b,z),se){const fe=this.calTotalEnergy(ee,re);se({energy:fe,nodes:y.getAllNodes(),edges:y.getAllEdges(),iterations:x})}}calTotalEnergy(a,y){if(!(y!=null&&y.length))return 0;let x=0;return y.forEach((b,z)=>{const ee=a[b.id].x,re=a[b.id].y,ae=this.options.dimensions===3?a[b.id].z:0,se=ee*ee+re*re+ae*ae,{mass:fe=1}=b.data;x+=fe*se*.5}),x}calRepulsive(a,y,x){const{dimensions:b,factor:z,coulombDisScale:ee}=x;Z_(a,z,ee*ee,y,b)}calAttractive(a,y,x){const{dimensions:b,nodeSize:z}=x;a.getAllEdges().forEach((ee,re)=>{const{source:ae,target:se}=ee,fe=a.getNode(ae),me=a.getNode(se);if(!fe||!me)return;let Ae=me.data.x-fe.data.x,Le=me.data.y-fe.data.y,ke=b===3?me.data.z-fe.data.z:0;!Ae&&!Le&&(Ae=Math.random()*.01,Le=Math.random()*.01,b===3&&!ke&&(ke=Math.random()*.01));const We=Math.sqrt(Ae*Ae+Le*Le+ke*ke);if(We{const{id:We,data:je}=ke,{mass:Ke,x:Ze,y:Je,z:tt}=je,at=y.getNode(We);let st=0,dt=0,ut=0,wt=Ae;const Bt=a.getDegree(We,"in"),Ht=a.getDegree(We,"out"),Qt=a.getDegree(We,"both"),hn=z==null?void 0:z(at,Qt);if(hn){const[on,Pn,Jn]=hn;st=Ze-on,dt=Je-Pn,wt=Jn}else st=Ze-me[0],dt=Je-me[1],ut=tt-me[2];if(wt&&(x[We].x-=wt*st/Ke,x[We].y-=wt*dt/Ke,x[We].z-=wt*ut/Ke),Le){const{leaf:on,single:Pn,others:Jn,center:pn}=Le,{x:yn,y:Cn,z:ar,centerStrength:An}=(pn==null?void 0:pn(at,re,ae,se,fe))||{x:0,y:0,z:0,centerStrength:0};if(!ji(yn)||!ji(Cn))return;const gr=(Ze-yn)/Ke,aa=(Je-Cn)/Ke,na=(tt-ar)/Ke;if(An&&(x[We].x-=An*gr,x[We].y-=An*aa,x[We].z-=An*na),Qt===0){const Tr=Pn(at);if(!Tr)return;x[We].x-=Tr*gr,x[We].y-=Tr*aa,x[We].z-=Tr*na;return}if(Bt===0||Ht===0){const Tr=on(at,re,ae);if(!Tr)return;x[We].x-=Tr*gr,x[We].y-=Tr*aa,x[We].z-=Tr*na;return}const jr=Jn(at);if(!jr)return;x[We].x-=jr*gr,x[We].y-=jr*aa,x[We].z-=jr*na}})}updateVelocity(a,y,x,b){const{damping:z,maxSpeed:ee,interval:re,dimensions:ae}=b,se=a.getAllNodes();se!=null&&se.length&&se.forEach(fe=>{const{id:me}=fe;let Ae=(x[me].x+y[me].x*re)*z||.01,Le=(x[me].y+y[me].y*re)*z||.01,ke=ae===3?(x[me].z+y[me].z*re)*z||.01:0;const We=Math.sqrt(Ae*Ae+Le*Le+ke*ke);if(We>ee){const je=ee/We;Ae=je*Ae,Le=je*Le,ke=je*ke}x[me]={x:Ae,y:Le,z:ke}})}updatePosition(a,y,x,b){const{distanceThresholdMode:z,interval:ee,dimensions:re}=b,ae=y.getAllNodes();if(!(ae!=null&&ae.length)){this.judgingDistance=0;return}let se=0;z==="max"?this.judgingDistance=-1/0:z==="min"&&(this.judgingDistance=1/0),ae.forEach(fe=>{const{id:me}=fe,Ae=a.getNode(me);if(ji(Ae.data.fx)&&ji(Ae.data.fy)){y.mergeNodeData(me,{x:Ae.data.fx,y:Ae.data.fy,z:re===3?Ae.data.fz:void 0});return}const Le=x[me].x*ee,ke=x[me].y*ee,We=re===3?x[me].z*ee:0;y.mergeNodeData(me,{x:fe.data.x+Le,y:fe.data.y+ke,z:fe.data.z+We});const 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wt=We.get(ut.id),Bt=ke.get(ut.id)||Le.get(ut.id),Ht={id:ut.id,data:Object.assign(Object.assign({},ut.data),{x:wt.data.x||Bt.data.x,y:wt.data.y||Bt.data.y,fx:wt.data.fx||Bt.data.fx,fy:wt.data.fy||Bt.data.fy,mass:wt.data.mass||Bt.data.mass,size:wt.data.size})};Ze.push(Ht),Ke.set(ut.id,!0),!isNaN(Ht.data.x)&&Ht.data.x!==0&&!isNaN(Ht.data.y)&&Ht.data.y!==0?tt=!1:(Ht.data.x=Math.random()*100,Ht.data.y=Math.random()*100),px(y,[ut],Qt=>{Qt.id!==ut.id&&Je.set(Qt.id,ut.id)},"TB",ee)});const at=[];fe.forEach(ut=>{const wt=Je.get(ut.source)||ut.source,Bt=Je.get(ut.target)||ut.target;wt!==Bt&&Ke.has(wt)&&Ke.has(Bt)&&at.push({id:ut.id,source:wt,target:Bt,data:{}})});let st;if(Ze!=null&&Ze.length){if(Ze.length===1)Ze[0].data.x=z[0],Ze[0].data.y=z[1];else{const ut=new Xl({nodes:Ze,edges:at}),wt=re||new Q5;tt&&iz[wt.id]&&(yield(Ze.length<100?new tM:new fx).assign(ut));const Bt=Object.assign({center:z,kg:5,preventOverlap:!0,animate:!1},wt.id==="force"?{gravity:1,factor:4,linkDistance:(Ht,Qt,hn)=>{const on=Math.max(...Qt.data.size)||32,Pn=Math.max(...hn.data.size)||32;return on/2+Pn/2+200}}:{});st=yield nM(wt,ut,Bt)}We.forEach(ut=>{var wt;const Bt=st.nodes.find(hn=>hn.id===ut.id);if(Bt){const{x:hn,y:on}=Bt.data;ut.data.visited=!0,ut.data.x=hn,ut.data.y=on,Ae.push({id:ut.id,data:{x:hn,y:on}})}const{x:Ht,y:Qt}=ut.data;(wt=ut.data.nodes)===null||wt===void 0||wt.forEach(hn=>{Ae.push({id:hn.id,data:{x:hn.data.x+Ht,y:hn.data.y+Qt}})})}),We.forEach(({data:ut})=>{const{x:wt,y:Bt,visited:Ht,nodes:Qt}=ut;Qt==null||Qt.forEach(hn=>{if(!Ht){const on=Ae.find(Pn=>Pn.id===hn.id);on.data.x+=wt||0,on.data.y+=Bt||0}})})}return a&&Ae.forEach(ut=>{y.mergeNodeData(ut.id,{x:ut.data.x,y:ut.data.y})}),{nodes:Ae,edges:fe}})}initVals(a){const y=Object.assign({},a),{nodeSize:x,spacing:b,comboPadding:z}=a;let ee,re;if(ji(b)?re=()=>b:qi(b)?re=b:re=()=>0,y.spacing=re,!x)ee=se=>{const fe=re(se);return 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Array(fe),se=0;sey.id},manyBody:{},center:{x:0,y:0}},this.context={options:{},assign:!1,nodes:[],edges:[]},nc(this.options,a),this.options.forceSimulation&&(this.simulation=this.options.forceSimulation)}execute(a,y){return(0,_t.mG)(this,void 0,void 0,function*(){return this.genericLayout(!1,a,y)})}assign(a,y){return(0,_t.mG)(this,void 0,void 0,function*(){yield this.genericLayout(!0,a,y)})}stop(){this.simulation.stop()}tick(a){return this.simulation.tick(a),this.getResult()}restart(){this.simulation.restart()}setFixedPosition(a,y){const x=this.context.nodes.find(b=>b.id===a);x&&y.forEach((b,z)=>{if(typeof b=="number"||b===null){const ee=["fx","fy","fz"][z];x[ee]=b}})}getOptions(a){var y,x;const b=nc({},this.options,a);return b.collide&&((y=b.collide)===null||y===void 0?void 0:y.radius)===void 0&&(b.collide=b.collide||{},b.collide.radius=(x=b.nodeSize)!==null&&x!==void 0?x:10),b.iterations===void 0&&(b.link&&b.link.iterations===void 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a&&z.forEach(re=>b.mergeNodeData(re.id,re.data)),{nodes:z,edges:ee}}initSimulation(){return Pz()}setSimulation(a){const y=this.simulation||this.options.forceSimulation||this.initSimulation();return this.simulation||(this.simulation=y.on("tick",()=>{var x;return(x=a.onTick)===null||x===void 0?void 0:x.call(a,this.getResult())}).on("end",()=>{var x;return(x=this.resolver)===null||x===void 0?void 0:x.call(this,this.getResult())})),fM(y,this.config.simulationAttrs.map(x=>[x,a[x]])),Object.entries(this.forceMap).forEach(([x,b])=>{const z=x;if(a[x]){let ee=y.force(z);ee||(ee=b(),y.force(z,ee)),fM(ee,Object.entries(a[z]))}else y.force(z,null)}),y}}const fM=(E,a)=>a.reduce((y,[x,b])=>!y[x]||b===void 0?y:y[x].call(E,b),E);var hM=Ie(92546),Rz=Ie.n(hM);class xy{constructor(a){this.id="dagre",this.options={},Object.assign(this.options,xy.defaultOptions,a)}execute(a,y){return(0,_t.mG)(this,void 0,void 0,function*(){return this.genericDagreLayout(!1,a,Object.assign(Object.assign({},this.options),y))})}assign(a,y){return(0,_t.mG)(this,void 0,void 0,function*(){yield this.genericDagreLayout(!0,a,Object.assign(Object.assign({},this.options),y))})}genericDagreLayout(a,y,x){return(0,_t.mG)(this,void 0,void 0,function*(){const{nodeSize:b}=x,z=new hM.graphlib.Graph;z.setGraph(x),z.setDefaultEdgeLabel(()=>({}));const ee=y.getAllNodes(),re=y.getAllEdges();[...ee,...re].some(({id:se})=>ji(se))&&console.error("Dagre layout only support string id, it will convert number to string."),y.getAllNodes().forEach(se=>{const{id:fe}=se,me=Object.assign({},se.data);if(b!==void 0){const[Ae,Le]=Ov(qi(b)?b(se):b);Object.assign(me,{width:Ae,height:Le})}z.setNode(fe.toString(),me)}),y.getAllEdges().forEach(({id:se,source:fe,target:me})=>{z.setEdge(fe.toString(),me.toString(),{id:se})}),Rz().layout(z);const ae={nodes:[],edges:[]};return z.nodes().forEach(se=>{const fe=z.node(se);ae.nodes.push({id:se,data:fe}),a&&y.mergeNodeData(se,fe)}),z.edges().forEach(se=>{const fe=z.edge(se),{id:me}=fe,Ae=(0,_t._T)(fe,["id"]),{v:Le,w:ke}=se;ae.edges.push({id:me,source:Le,target:ke,data:Ae}),a&&y.mergeEdgeData(me,Ae)}),ae})}}xy.defaultOptions={};class xx{constructor(a){this.id=a.id||0,this.rx=a.rx,this.ry=a.ry,this.fx=0,this.fy=0,this.mass=a.mass,this.degree=a.degree,this.g=a.g||0}distanceTo(a){const y=this.rx-a.rx,x=this.ry-a.ry;return Math.hypot(y,x)}setPos(a,y){this.rx=a,this.ry=y}resetForce(){this.fx=0,this.fy=0}addForce(a){const y=a.rx-this.rx,x=a.ry-this.ry;let b=Math.hypot(y,x);b=b<1e-4?1e-4:b;const z=this.g*(this.degree+1)*(a.degree+1)/b;this.fx+=z*y/b,this.fy+=z*x/b}in(a){return a.contains(this.rx,this.ry)}add(a){const y=this.mass+a.mass,x=(this.rx*this.mass+a.rx*a.mass)/y,b=(this.ry*this.mass+a.ry*a.mass)/y,z=this.degree+a.degree,ee={rx:x,ry:b,mass:y,degree:z};return new xx(ee)}}class 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b}updatePos(a,y,x,b,z){const{ks:ee,tao:re,prune:ae,ksmax:se}=z,fe=a.getAllNodes(),me=fe.length,Ae=[],Le=[];let ke=0,We=0,je=b;for(let Ze=0;Ze1.5*Ke?1.5*Ke:je);for(let Ze=0;Zeut?ut:st;const wt=st*y[Je][0],Bt=st*y[Je][1];a.mergeNodeData(Je,{x:tt.x+wt,y:tt.y+Bt})}return je}}const _z={maxIteration:1e3,gravity:10,speed:5,clustering:!1,clusterGravity:10,width:300,height:300,nodeClusterBy:"cluster"},zz=800;class Uz{constructor(a={}){this.options=a,this.id="fruchterman",this.timeInterval=0,this.running=!1,this.options=Object.assign(Object.assign({},_z),a)}execute(a,y){return(0,_t.mG)(this,void 0,void 0,function*(){return this.genericFruchtermanLayout(!1,a,y)})}assign(a,y){return(0,_t.mG)(this,void 0,void 0,function*(){yield this.genericFruchtermanLayout(!0,a,y)})}stop(){this.timeInterval&&typeof window!="undefined"&&window.clearInterval(this.timeInterval),this.running=!1}tick(a=this.options.maxIteration||1){if(this.lastResult)return this.lastResult;for(let 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tt=Je.data[fe];Ke[tt]||(Ke[tt]={name:tt,cx:0,cy:0,count:0})}),this.lastLayoutNodes=We,this.lastLayoutEdges=ke,this.lastAssign=a,this.lastGraph=je,this.lastOptions=b,this.lastClusterMap=Ke,typeof window=="undefined")return;let Ze=0;return new Promise(Je=>{this.timeInterval=window.setInterval(()=>{if(!this.running){Je({nodes:We,edges:ke});return}this.runOneStep(je,Ke,b),a&&We.forEach(({id:tt,data:at})=>y.mergeNodeData(tt,{x:at.x,y:at.y,z:z===3?at.z:void 0})),Ae==null||Ae({nodes:We,edges:ke}),Ze++,Ze>=me&&(window.clearInterval(this.timeInterval),Je({nodes:We,edges:ke}))},0),this.running=!0})})}formatOptions(a={}){const y=Object.assign(Object.assign({},this.options),a),{clustering:x,nodeClusterBy:b}=y,{center:z,width:ee,height:re}=y;return y.width=!ee&&typeof window!="undefined"?window.innerWidth:ee,y.height=!re&&typeof window!="undefined"?window.innerHeight:re,y.center=z||[y.width/2,y.height/2],y.clustering=x&&!!b,y}runOneStep(a,y,x){const{dimensions:b,height:z,width:ee,gravity:re,center:ae,speed:se,clustering:fe,nodeClusterBy:me,clusterGravity:Ae}=x,Le=z*ee,ke=Math.sqrt(Le)/10,We=a.getAllNodes(),je=Le/(We.length+1),Ke=Math.sqrt(je),Ze={};if(this.applyCalculate(a,Ze,Ke,je),fe){for(const tt in y)y[tt].cx=0,y[tt].cy=0,y[tt].count=0;We.forEach(tt=>{const{data:at}=tt,st=y[at[me]];ji(at.x)&&(st.cx+=at.x),ji(at.y)&&(st.cy+=at.y),st.count++});for(const tt in y)y[tt].cx/=y[tt].count,y[tt].cy/=y[tt].count;const Je=Ae||re;We.forEach((tt,at)=>{const{id:st,data:dt}=tt;if(!ji(dt.x)||!ji(dt.y))return;const ut=y[dt[me]],wt=Math.sqrt((dt.x-ut.cx)*(dt.x-ut.cx)+(dt.y-ut.cy)*(dt.y-ut.cy)),Bt=Ke*Je;Ze[st].x-=Bt*(dt.x-ut.cx)/wt,Ze[st].y-=Bt*(dt.y-ut.cy)/wt})}We.forEach((Je,tt)=>{const{id:at,data:st}=Je;if(!ji(st.x)||!ji(st.y))return;const dt=.01*Ke*re;Ze[at].x-=dt*(st.x-ae[0]),Ze[at].y-=dt*(st.y-ae[1]),b===3&&(Ze[at].z-=dt*(st.z-ae[2]))}),We.forEach((Je,tt)=>{const{id:at,data:st}=Je;if(ji(st.fx)&&ji(st.fy)){st.x=st.fx,st.y=st.fy,b===3&&(st.z=st.fz);return}if(!ji(st.x)||!ji(st.y))return;const dt=Math.sqrt(Ze[at].x*Ze[at].x+Ze[at].y*Ze[at].y+(b===3?Ze[at].z*Ze[at].z:0));if(dt>0){const ut=Math.min(ke*(se/zz),dt);a.mergeNodeData(at,{x:st.x+Ze[at].x/dt*ut,y:st.y+Ze[at].y/dt*ut,z:b===3?st.z+Ze[at].z/dt*ut:void 0})}})}applyCalculate(a,y,x,b){this.calRepulsive(a,y,b),this.calAttractive(a,y,x)}calRepulsive(a,y,x){const b=a.getAllNodes();b.forEach(({data:z,id:ee},re)=>{y[ee]={x:0,y:0,z:0},b.forEach(({data:ae,id:se},fe)=>{if(re<=fe||!ji(z.x)||!ji(ae.x)||!ji(z.y)||!ji(ae.y))return;let me=z.x-ae.x,Ae=z.y-ae.y,Le=this.options.dimensions===3?z.z-ae.z:0,ke=me*me+Ae*Ae+Le*Le;ke===0&&(ke=1,me=.01,Ae=.01,Le=.01);const We=x/ke,je=me*We,Ke=Ae*We,Ze=Le*We;y[ee].x+=je,y[ee].y+=Ke,y[se].x-=je,y[se].y-=Ke,this.options.dimensions===3&&(y[ee].z+=Ze,y[se].z-=Ze)})})}calAttractive(a,y,x){a.getAllEdges().forEach(z=>{const{source:ee,target:re}=z;if(!ee||!re||ee===re)return;const{data:ae}=a.getNode(ee),{data:se}=a.getNode(re);if(!ji(se.x)||!ji(ae.x)||!ji(se.y)||!ji(ae.y))return;const fe=se.x-ae.x,me=se.y-ae.y,Ae=this.options.dimensions===3?se.z-ae.z:0,Le=Math.sqrt(fe*fe+me*me+Ae*Ae)/x,ke=fe*Le,We=me*Le,je=Ae*Le;y[ee].x+=ke,y[ee].y+=We,y[re].x-=ke,y[re].y-=We,this.options.dimensions===3&&(y[ee].z+=je,y[re].z-=je)})}}const Wz={begin:[0,0],preventOverlap:!0,preventOverlapPadding:10,condense:!1,rows:void 0,cols:void 0,position:void 0,sortBy:"degree",nodeSize:30,width:300,height:300};class jz{constructor(a={}){this.options=a,this.id="grid",this.options=Object.assign(Object.assign({},Wz),a)}execute(a,y){return(0,_t.mG)(this,void 0,void 0,function*(){return this.genericGridLayout(!1,a,y)})}assign(a,y){return(0,_t.mG)(this,void 0,void 0,function*(){yield this.genericGridLayout(!0,a,y)})}genericGridLayout(a,y,x){return(0,_t.mG)(this,void 0,void 0,function*(){const b=Object.assign(Object.assign({},this.options),x),{begin:z=[0,0],condense:ee,preventOverlapPadding:re,preventOverlap:ae,rows:se,cols:fe,nodeSpacing:me,nodeSize:Ae,width:Le,height:ke,position:We}=b;let{sortBy:je}=b;const Ke=y.getAllNodes(),Ze=y.getAllEdges(),Je=Ke==null?void 0:Ke.length;if(!Je||Je===1)return Pg(y,a,z);const tt=Ke.map(Pn=>Wc(Pn));je!=="id"&&(!Ws(je)||tt[0].data[je]===void 0)&&(je="degree"),je==="degree"?tt.sort((Pn,Jn)=>y.getDegree(Jn.id,"both")-y.getDegree(Pn.id,"both")):je==="id"?tt.sort((Pn,Jn)=>ji(Jn.id)&&ji(Pn.id)?Jn.id-Pn.id:`${Pn.id}`.localeCompare(`${Jn.id}`)):tt.sort((Pn,Jn)=>Jn.data[je]-Pn.data[je]);const at=!Le&&typeof window!="undefined"?window.innerWidth:Le,st=!ke&&typeof 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Su(z,ee,re,ae));se=Math.abs(se-.5),se>=0&&se<=1&&(x++,se1||(b(E.x,E.y2,E.x2,E.y2),x>1)?y:(b(E.x2,E.y,E.x2,E.y2),x===0?-1:y)}function AU(E,a){let y=0;const x=My(E,new Su(a.x,a.y,a.x2,a.y));y+=x.state===kl.POINT?1:0;const b=My(E,new Su(a.x,a.y,a.x,a.y2));y+=b.state===kl.POINT?1:0;const z=My(E,new Su(a.x,a.y2,a.x2,a.y2));y+=z.state===kl.POINT?1:0;const ee=My(E,new Su(a.x2,a.y,a.x2,a.y2));return y+=ee.state===kl.POINT?1:0,{top:x,left:b,bottom:z,right:ee,count:y}}class Vu{constructor(a,y,x,b){this.x=a,this.y=y,this.width=x,this.height=b}get x2(){return this.x+this.width}get y2(){return this.y+this.height}get cx(){return this.x+this.width/2}get cy(){return this.y+this.height/2}get radius(){return Math.max(this.width,this.height)/2}static from(a){return new Vu(a.x,a.y,a.width,a.height)}equals(a){return this.x===a.x&&this.y===a.y&&this.width===a.width&&this.height===a.height}clone(){return new Vu(this.x,this.y,this.width,this.height)}add(a){const y=Math.min(this.x,a.x),x=Math.min(this.y,a.y),b=Math.max(this.x2,a.x+a.width),z=Math.max(this.y2,a.y+a.height);this.x=y,this.y=x,this.width=b-y,this.height=z-x}addPoint(a){const y=Math.min(this.x,a.x),x=Math.min(this.y,a.y),b=Math.max(this.x2,a.x),z=Math.max(this.y2,a.y);this.x=y,this.y=x,this.width=b-y,this.height=z-x}toString(){return`Rectangle[x=${this.x}, y=${this.y}, w=${this.width}, h=${this.height}]`}draw(a){a.rect(this.x,this.y,this.width,this.height)}containsPt(a,y){return a>=this.x&&a<=this.x2&&y>=this.y&&y<=this.y2}get area(){return this.width*this.height}intersects(a){return this.area<=0||a.width<=0||a.height<=0?!1:a.x+a.width>this.x&&a.y+a.height>this.y&&a.x=this.width?this.width-1:a}boundY(a){return a=this.height?this.height-1:a}scaleX(a){return this.boundX(Math.floor((a-this.pixelX)/this.pixelGroup))}scaleY(a){return this.boundY(Math.floor((a-this.pixelY)/this.pixelGroup))}scale(a){const y=this.scaleX(a.x),x=this.scaleY(a.y),b=this.boundX(Math.ceil((a.x+a.width-this.pixelX)/this.pixelGroup)),z=this.boundY(Math.ceil((a.y+a.height-this.pixelY)/this.pixelGroup)),ee=b-y,re=z-x;return new Vu(y,x,ee,re)}invertScaleX(a){return Math.round(a*this.pixelGroup+this.pixelX)}invertScaleY(a){return Math.round(a*this.pixelGroup+this.pixelY)}addPadding(a,y){const x=Math.ceil(y/this.pixelGroup),b=this.boundX(a.x-x),z=this.boundY(a.y-x),ee=this.boundX(a.x2+x),re=this.boundY(a.y2+x),ae=ee-b,se=re-z;return new Vu(b,z,ae,se)}get(a,y){return a<0||y<0||a>=this.width||y>=this.height?Number.NaN:this.area[a+y*this.width]}inc(a,y,x){a<0||y<0||a>=this.width||y>=this.height||(this.area[a+y*this.width]+=x)}set(a,y,x){a<0||y<0||a>=this.width||y>=this.height||(this.area[a+y*this.width]=x)}incArea(a,y){if(a.width<=0||a.height<=0||y===0)return;const x=this.width,b=a.width,z=Math.max(0,a.i),ee=Math.max(0,a.j),re=Math.min(a.i+a.width,x),ae=Math.min(a.j+a.height,this.height);if(!(ae<=0||re<=0||z>=x||ae>=this.height))for(let se=ee;seMath.min(ee,re),Number.POSITIVE_INFINITY),b=this.area.reduce((ee,re)=>Math.max(ee,re),Number.NEGATIVE_INFINITY),z=ee=>(ee-x)/(b-x);a.scale(this.pixelGroup,this.pixelGroup);for(let ee=0;eey?"black":"white",a.fillRect(b,z,1,1)}a.restore()}}}function xM(E,a){const y=x=>({x:x.x-a,y:x.y-a,width:x.width+2*a,height:x.height+2*a});return Array.isArray(E)?E.map(y):y(E)}function SM(E,a,y){return bM(Object.assign(yM(E),{distSquare:(x,b)=>Dx(E.x1,E.y1,E.x2,E.y2,x,b)}),a,y)}function bM(E,a,y){const x=xM(E,y),b=a.scale(x),z=a.createSub(b,x);return SU(z,a,y,(ee,re)=>E.distSquare(ee,re)),z}function SU(E,a,y,x){const b=y*y;for(let z=0;z{const re=b.slice(0,ee);return PU(a,z,re,y,x)}).flat()}function PU(E,a,y,x,b){const z=Al(a.cx,a.cy),ee=DU(z,y,E);if(ee==null)return[];const re=new Su(z.x,z.y,ee.cx,ee.cy),ae=wU(re,E,x,b);return MU(ae,E)}function wU(E,a,y,x){const b=[],z=[];z.push(E);let ee=!0;for(let re=0;re0;){const ae=z.pop(),se=CM(a,ae),fe=se?AU(ae,se):null;if(!se||!fe||fe.count!==2){ee||b.push(ae);continue}let me=x,Ae=Ty(se,me,fe,!0),Le=xh(Ae,z)||xh(Ae,b),ke=Oy(Ae,a);for(;!Le&&ke&&me>=1;)me/=1.5,Ae=Ty(se,me,fe,!0),Le=xh(Ae,z)||xh(Ae,b),ke=Oy(Ae,a);if(Ae&&!Le&&!ke&&(z.push(new Su(ae.x1,ae.y1,Ae.x,Ae.y)),z.push(new Su(Ae.x,Ae.y,ae.x2,ae.y2)),ee=!0),ee)continue;me=x,Ae=Ty(se,me,fe,!1);let We=xh(Ae,z)||xh(Ae,b);for(ke=Oy(Ae,a);!We&&ke&&me>=1;)me/=1.5,Ae=Ty(se,me,fe,!1),We=xh(Ae,z)||xh(Ae,b),ke=Oy(Ae,a);Ae&&!We&&(z.push(new Su(ae.x1,ae.y1,Ae.x,Ae.y)),z.push(new Su(Ae.x,Ae.y,ae.x2,ae.y2)),ee=!0),ee||b.push(ae)}for(;z.length>0;)b.push(z.pop());return b}function MU(E,a){const y=[];for(;E.length>0;){const x=E.pop();if(E.length===0){y.push(x);break}const b=E.pop(),z=new Su(x.x1,x.y1,b.x2,b.y2);CM(a,z)?(y.push(x),E.push(b)):E.push(z)}return y}function DU(E,a,y){let x=Number.POSITIVE_INFINITY;return a.reduce((b,z)=>{const ee=Ah(E.x,E.y,z.cx,z.cy);if(ee>x)return b;const re=new Su(E.x,E.y,z.cx,z.cy),ae=OU(y,re);return ee*(ae+1)*(ae+1){a+=x.cx,y+=x.cy}),a/=E.length,y/=E.length,E.map(x=>{const b=a-x.cx,z=y-x.cy,ee=b*b+z*z;return[x,ee]}).sort((x,b)=>x[1]-b[1]).map(x=>x[0])}function Oy(E,a){return a.some(y=>y.containsPt(E.x,E.y))}function xh(E,a){return a.some(y=>!!(pM(y.x1,y.y1,E.x,E.y,.001)||pM(y.x2,y.y2,E.x,E.y,.001)))}function CM(E,a){let y=Number.POSITIVE_INFINITY,x=null;for(const b of E){if(!AM(b,a))continue;const z=EU(b,a);z>=0&&zAM(x,a)&&yU(x,a)?y+1:y,0)}function Ty(E,a,y,x){const b=y.top,z=y.left,ee=y.bottom,re=y.right;if(x){if(z.state===kl.POINT){if(b.state===kl.POINT)return Al(E.x-a,E.y-a);if(ee.state===kl.POINT)return Al(E.x-a,E.y2+a);const Ae=E.width*E.height;return E.width*((z.y-E.y+(re.y-E.y))*.5)re.y?Al(E.x-a,E.y-a):Al(E.x2+a,E.y-a):z.yee.x?Al(E.x-a,E.y-a):Al(E.x-a,E.y2+a):b.xre.y?Al(E.x2+a,E.y2+a):Al(E.x-a,E.y2+a):z.yee.x?Al(E.x2+a,E.y2+a):Al(E.x2+a,E.y-a):b.xx)return!1}return!0}function LU(E=0){return a=>{if(E<0||a.length<3)return a;const y=[];let x=0;const b=E*E;for(;x{if(ee.length<3)return ee;const re=[],ae=ee.closed,se=ee.length+3-1+(ae?0:2);re.push(z(ee,2-(ae?0:2),0));for(let fe=2-(ae?0:2);fe{let y=E,x=a.length;if(y>1)for(x=Math.floor(a.length/y);x<3&&y>1;)y-=1,x=Math.floor(a.length/y);const b=[];for(let z=0,ee=0;ee=x?this.closed?this.get(a-x):this.points[x-1]:this.points[y]}get length(){return this.points.length}toString(a=1/0){const y=this.points;if(y.length===0)return"";const x=typeof a=="function"?a:pU(a);let b="M";for(const z of y)b+=`${x(z.x)},${x(z.y)} L`;return b=b.slice(0,-1),this.closed&&(b+=" Z"),b}draw(a){const y=this.points;if(y.length!==0){a.beginPath(),a.moveTo(y[0].x,y[0].y);for(const x of y)a.lineTo(x.x,x.y);this.closed&&a.closePath()}}sample(a){return RU(a)(this)}simplify(a){return LU(a)(this)}bSplines(a){return NU(a)(this)}apply(a){return a(this)}containsElements(a){const y=xU(this.points);return y?a.every(x=>y.containsPt(x.cx,x.cy)&&this.withinArea(x.cx,x.cy)):!1}withinArea(a,y){if(this.length===0)return!1;let x=0;const b=this.points[0],z=new Su(b.x,b.y,b.x,b.y);for(let ee=1;eea?fe+me:fe}function z(ae,se){let fe=Rv;return fe=b(ae,se,fe,1),fe=b(ae+1,se,fe,2),fe=b(ae,se+1,fe,4),fe=b(ae+1,se+1,fe,8),Number.isNaN(fe)?-1:fe}let ee=Ly;function re(ae,se){let fe=ae,me=se,Ae=E.invertScaleX(fe),Le=E.invertScaleY(me);for(let ke=0;kePM(x.raw,a));return y<0?!1:(this.members.splice(y,1),this.dirty.add(kd.MEMBERS),!0)}removeNonMember(a){const y=this.nonMembers.findIndex(x=>PM(x.raw,a));return y<0?!1:(this.nonMembers.splice(y,1),this.dirty.add(kd.NON_MEMBERS),!0)}removeEdge(a){const y=this.edges.findIndex(x=>x.obj.equals(a));return y<0?!1:(this.edges.splice(y,1),this.dirty.add(kd.NON_MEMBERS),!0)}pushNonMember(...a){if(a.length!==0){this.dirty.add(kd.NON_MEMBERS);for(const y of a)this.nonMembers.push({raw:y,obj:Fv(y)?Iy.from(y):Vu.from(y),area:null})}}pushEdge(...a){if(a.length!==0){this.dirty.add(kd.EDGES);for(const y of a)this.edges.push({raw:y,obj:Su.from(y),area:null})}}update(){const a=this.dirty.has(kd.MEMBERS),y=this.dirty.has(kd.NON_MEMBERS);let x=this.dirty.has(kd.EDGES);this.dirty.clear();const b=this.members.map(se=>se.obj);if(this.o.virtualEdges&&(a||y)){const se=this.nonMembers.map(Ae=>Ae.obj),fe=CU(b,se,this.o.maxRoutingIterations,this.o.morphBuffer),me=new Map(this.virtualEdges.map(Ae=>[Ae.obj.toString(),Ae.area]));this.virtualEdges=fe.map(Ae=>{var Le;return{raw:Ae,obj:Ae,area:(Le=me.get(Ae.toString()))!==null&&Le!==void 0?Le:null}}),x=!0}let z=!1;if(a||x){const se=this.virtualEdges.concat(this.edges).map(Le=>Le.obj),fe=zU(b,se),me=Math.max(this.o.edgeR1,this.o.nodeR1)+this.o.morphBuffer,Ae=Vu.from(xM(fe,me));Ae.equals(this.activeRegion)||(z=!0,this.activeRegion=Ae)}if(z){const se=Math.ceil(this.activeRegion.width/this.o.pixelGroup),fe=Math.ceil(this.activeRegion.height/this.o.pixelGroup);this.activeRegion.x!==this.potentialArea.pixelX||this.activeRegion.y!==this.potentialArea.pixelY?(this.potentialArea=Mg.fromPixelRegion(this.activeRegion,this.o.pixelGroup),this.members.forEach(me=>me.area=null),this.nonMembers.forEach(me=>me.area=null),this.edges.forEach(me=>me.area=null),this.virtualEdges.forEach(me=>me.area=null)):(se!==this.potentialArea.width||fe!==this.potentialArea.height)&&(this.potentialArea=Mg.fromPixelRegion(this.activeRegion,this.o.pixelGroup))}const ee=new Map,re=se=>{if(se.area){const fe=`${se.obj.width}x${se.obj.height}x${se.obj instanceof Vu?"R":"C"}`;ee.set(fe,se.area)}},ae=se=>{if(se.area)return;const fe=`${se.obj.width}x${se.obj.height}x${se.obj instanceof Vu?"R":"C"}`;if(ee.has(fe)){const Ae=ee.get(fe);se.area=this.potentialArea.copy(Ae,{x:se.obj.x-this.o.nodeR1,y:se.obj.y-this.o.nodeR1});return}const me=se.obj instanceof Vu?bU(se.obj,this.potentialArea,this.o.nodeR1):bM(se.obj,this.potentialArea,this.o.nodeR1);se.area=me,ee.set(fe,me)};this.members.forEach(re),this.nonMembers.forEach(re),this.members.forEach(ae),this.nonMembers.forEach(se=>{this.activeRegion.intersects(se.obj)?ae(se):se.area=null}),this.edges.forEach(se=>{se.area||(se.area=SM(se.obj,this.potentialArea,this.o.edgeR1))}),this.virtualEdges.forEach(se=>{se.area||(se.area=SM(se.obj,this.potentialArea,this.o.edgeR1))})}drawMembers(a){for(const y of this.members)y.obj.draw(a)}drawNonMembers(a){for(const y of this.nonMembers)y.obj.draw(a)}drawEdges(a){for(const y of this.edges)y.obj.draw(a)}drawPotentialArea(a,y=!0){this.potentialArea.draw(a,y)}compute(){if(this.members.length===0)return new Dg([]);this.dirty.size>0&&this.update();const{o:a,potentialArea:y}=this,x=this.members.map(re=>re.area),b=this.virtualEdges.concat(this.edges).map(re=>re.area),z=this.nonMembers.filter(re=>re.area!=null).map(re=>re.area),ee=this.members.map(re=>re.obj);return _U(y,x,b,z,re=>re.containsElements(ee),a)}}function _U(E,a,y,x,b,z={}){const ee=Object.assign({},Ny,z);let re=ee.threshold,ae=ee.memberInfluenceFactor,se=ee.edgeInfluenceFactor,fe=ee.nonMemberInfluenceFactor;const me=(ee.nodeR0-ee.nodeR1)*(ee.nodeR0-ee.nodeR1),Ae=(ee.edgeR0-ee.edgeR1)*(ee.edgeR0-ee.edgeR1);for(let Le=0;Le0)fe*=.8;else break}return new Dg([])}function zU(E,a){if(E.length===0)return new Vu(0,0,0,0);const y=Vu.from(E[0]);for(const x of E)y.add(x);for(const x of a)y.add(yM(x));return y}function S$(E,a=[],y=[],x={}){if(E.length===0)return new Dg([]);const b=new Tx(x);return b.pushMember(...E),b.pushNonMember(...a),b.pushEdge(...y),b.compute()}var UU=function(E,a){var y={};for(var x in E)Object.prototype.hasOwnProperty.call(E,x)&&a.indexOf(x)<0&&(y[x]=E[x]);if(E!=null&&typeof Object.getOwnPropertySymbols=="function")for(var b=0,x=Object.getOwnPropertySymbols(E);b{const{style:x,bubbleSetOptions:b}=this.parseOptions();Zl(this.bubbleSetOptions,b)||this.init(),this.bubbleSetOptions=Object.assign({},b);const z=Object.assign(Object.assign({},x),{d:this.getPath()});this.shape?this.shape.update(z):(this.shape=new xv({style:z}),this.context.canvas.appendChild(this.shape))},this.updateBubbleSetsPath=x=>{if(!this.shape)return;const b=Nr(x.data);[...this.options.members,...this.options.avoidMembers].includes(b)&&this.shape.update(Object.assign(Object.assign({},this.parseOptions().style),{d:this.getPath(b)}))},this.getPath=x=>{const{graph:b}=this.context,z=this.options.members,ee=[...this.members.keys()],re=this.options.avoidMembers,ae=[...this.avoidMembers.keys()];if(!x&&Zl(z,ee)&&Zl(re,ae))return this.path;const{enter:se=[],exit:fe=[]}=ch(ee,z,je=>je),{enter:me=[],exit:Ae=[]}=ch(ae,re,je=>je);x&&(fe.push(x),se.push(x));const Le=(je,Ke,Ze)=>{je.forEach(Je=>{const tt=Ze?this.members:this.avoidMembers,at=Ze?"pushMember":"pushNonMember",st=Ze?"removeMember":"removeNonMember";if(Ke){let dt;b.getElementType(Je)==="edge"?([dt]=jU(b,Je),this.bubbleSets.pushEdge(dt)):([dt]=WU(b,Je),this.bubbleSets[at](dt)),tt.set(Je,dt)}else{const dt=tt.get(Je);dt&&(b.getElementType(Je)==="edge"?this.bubbleSets.removeEdge(dt):this.bubbleSets[st](dt),tt.delete(Je))}})};Le(fe,!1,!0),Le(se,!0,!0),Le(Ae,!1,!1),Le(me,!0,!1);const We=this.bubbleSets.compute().sample(8).simplify(0).bSplines().simplify(0);return this.path=vw(We.points.map(Ou)),this.path},this.bindEvents(),this.bubbleSets=new Tx(this.options)}bindEvents(){this.context.graph.on(gi.AFTER_RENDER,this.drawBubbleSets),this.context.graph.on(gi.AFTER_ELEMENT_UPDATE,this.updateBubbleSetsPath)}init(){this.bubbleSets=new Tx(this.options),this.members=new Map,this.avoidMembers=new Map}parseOptions(){const a=this.options,{type:y,key:x,members:b,avoidMembers:z}=a,ee=UU(a,["type","key","members","avoidMembers"]),re=Object.keys(ee).reduce((ae,se)=>(se in Ny?ae.bubbleSetOptions[se]=ee[se]:ae.style[se]=ee[se],ae),{style:{},bubbleSetOptions:{}});return Object.assign({type:y,key:x,members:b,avoidMembers:z},re)}addMember(a){const y=Array.isArray(a)?a:[a];y.some(x=>this.options.avoidMembers.includes(x))&&(this.options.avoidMembers=this.options.avoidMembers.filter(x=>!y.includes(x))),this.options.members=[...new Set([...this.options.members,...y])],this.drawBubbleSets()}removeMember(a){const y=Array.isArray(a)?a:[a];this.options.members=this.options.members.filter(x=>!y.includes(x)),this.drawBubbleSets()}updateMember(a){this.options.members=qi(a)?a(this.options.members):a,this.drawBubbleSets()}getMember(){return this.options.members}addAvoidMember(a){const y=Array.isArray(a)?a:[a];y.some(x=>this.options.members.includes(x))&&(this.options.members=this.options.members.filter(x=>!y.includes(x))),this.options.avoidMembers=[...new Set([...this.options.avoidMembers,...y])],this.drawBubbleSets()}removeAvoidMember(a){const y=Array.isArray(a)?a:[a];this.options.avoidMembers.some(x=>y.includes(x))&&(this.options.avoidMembers=this.options.avoidMembers.filter(x=>!y.includes(x)),this.drawBubbleSets())}updateAvoidMember(a){this.options.avoidMembers=Array.isArray(a)?a:[a],this.drawBubbleSets()}getAvoidMember(){return this.options.avoidMembers}destroy(){this.context.graph.off(gi.AFTER_RENDER,this.drawBubbleSets),this.context.graph.off(gi.AFTER_ELEMENT_UPDATE,this.updateBubbleSetsPath),this.shape.destroy(),super.destroy()}}Ry.defaultOptions=Object.assign({members:[],avoidMembers:[],fill:"lightblue",fillOpacity:.2,stroke:"blue",strokeOpacity:.2},Ny);const WU=(E,a)=>(Array.isArray(a)?a:[a]).map(x=>{const b=E.getElementRenderBounds(x);return new Vu(b.min[0],b.min[1],sf(b),lf(b))}),jU=(E,a)=>(Array.isArray(a)?a:[a]).map(x=>{const b=E.getEdgeData(x),z=E.getElementPosition(b.source),ee=E.getElementPosition(b.target);return Su.from({x1:z[0],y1:z[1],x2:ee[0],y2:ee[1]})});class b$ extends null{constructor(a,y){super(a,y),this.setOptions=x=>{const b={cameraType:"setType",near:"setNear",far:"setFar",fov:"setFov",aspect:"setAspect",projectionMode:"setProjectionMode",distance:"setDistance",minDistance:"setMinDistance",maxDistance:"setMaxDistance",roll:"setRoll",elevation:"setElevation",azimuth:"setAzimuth"},z=(ee,re)=>{switch(ee){case"projectionMode":return re==="perspective"?1:0;case"cameraType":return{orbiting:0,exploring:1,tracking:2}[re];case"aspect":return typeof re=="number"?re:this.getCanvasAspect();default:return re}};Object.entries(b).forEach(([ee,re])=>{const ae=x[ee];if(ae!==void 0){const se=z(ee,ae);this.context.canvas.getCamera()[re](se)}})},this.bindEvents()}update(a){this.setOptions(a),super.update(a)}bindEvents(){this.context.graph.once(GraphEvent.BEFORE_DRAW,()=>this.setOptions(this.options))}getCanvasAspect(){const[a,y]=this.context.viewport.getCanvasSize();return a/y}}function GU(E){return`
    ${E.map(a=>`
  • ${a.name}
    • `).join("")}
- `}const ZU=` + `}const HU=` .g6-contextmenu { font-size: 12px; background-color: rgba(255, 255, 255, 0.96); @@ -182,17 +182,17 @@ In order to be iterable, non-array objects must have a [Symbol.iterator]() metho background-color: #f5f5f5; cursor: pointer; } -`;var PM=function(E,a,y,x){function b(z){return z instanceof y?z:new y(function(ee){ee(z)})}return new(y||(y=Promise))(function(z,ee){function re(fe){try{se(x.next(fe))}catch(me){ee(me)}}function ae(fe){try{se(x.throw(fe))}catch(me){ee(me)}}function se(fe){fe.done?z(fe.value):b(fe.value).then(re,ae)}se((x=x.apply(E,a||[])).next())})};class ky extends Lu{constructor(a,y){super(a,Object.assign({},ky.defaultOptions,y)),this.targetElement=null,this.onTriggerEvent=x=>{var b;(b=x.preventDefault)===null||b===void 0||b.call(x),this.show(x)},this.onMenuItemClick=x=>{const{onClick:b,trigger:z}=this.options;if(x.target instanceof HTMLElement&&x.target.className.includes("g6-contextmenu-li")){const ee=x.target.getAttribute("value");b==null||b(ee,x.target,this.targetElement),this.hide()}z!=="click"&&this.hide()},this.initElement(),this.update(y)}initElement(){this.$element=A0("contextmenu",!1,{zIndex:"99"});const{className:a}=this.options;a&&this.$element.classList.add(a),this.context.canvas.getContainer().appendChild(this.$element),Mx("g6-contextmenu-css","style",{},ZU,document.head)}show(a){return PM(this,void 0,void 0,function*(){const{enable:y,offset:x}=this.options;if(typeof y=="function"&&!y(a)||!y){this.hide();return}const b=yield this.getDOMContent(a);b instanceof HTMLElement?(this.$element.innerHTML="",this.$element.appendChild(b)):this.$element.innerHTML=b;const z=this.context.graph.getCanvas().getContainer().getBoundingClientRect();this.$element.style.left=`${a.client.x-z.left+x[0]}px`,this.$element.style.top=`${a.client.y-z.top+x[1]}px`,this.$element.style.display="block",this.targetElement=a.target})}hide(){this.$element.style.display="none",this.targetElement=null}update(a){this.unbindEvents(),super.update(a),this.bindEvents()}destroy(){this.unbindEvents(),super.destroy(),this.$element.remove()}getDOMContent(a){return PM(this,void 0,void 0,function*(){const{getContent:y,getItems:x}=this.options;return x?KU(yield x(a)):yield y(a)})}bindEvents(){const{graph:a}=this.context,{trigger:y}=this.options;a.on(`canvas:${y}`,this.onTriggerEvent),a.on(`node:${y}`,this.onTriggerEvent),a.on(`edge:${y}`,this.onTriggerEvent),a.on(`combo:${y}`,this.onTriggerEvent),document.addEventListener("click",this.onMenuItemClick)}unbindEvents(){const{graph:a}=this.context,{trigger:y}=this.options;a.off(`canvas:${y}`,this.onTriggerEvent),a.off(`node:${y}`,this.onTriggerEvent),a.off(`edge:${y}`,this.onTriggerEvent),a.off(`combo:${y}`,this.onTriggerEvent),document.removeEventListener("click",this.onMenuItemClick)}}ky.defaultOptions={trigger:"contextmenu",offset:[4,4],loadingContent:'
Loading...
',getContent:()=>"It is a empty context menu.",enable:()=>!0};class _y extends Lu{constructor(a,y){super(a,Object.assign({},_y.defaultOptions,y)),this.edgeBundles={},this.edgePoints={},this.onBundle=()=>{const{model:x,element:b}=this.context,z=x.getEdgeData();this.divideEdges(this.options.divisions);const{cycles:ee,iterRate:re,divRate:ae}=this.options;let{lambda:se,divisions:fe,iterations:me}=this.options;for(let Ae=0;Ae{var je;if(ze.source===ze.target)return;const Ke=Nr(ze);ke[Ke]=this.getEdgeForces(ze,fe,se);for(let Ze=0;Ze{const Le=Nr(Ae),ke=b.getElement(Le);ke==null||ke.update({d:ZA(this.edgePoints[Le])})})},this.bindEvents()}get nodeMap(){const a=this.context.model.getNodeData();return Object.fromEntries(a.map(y=>[Nr(y),mg(fu(y))]))}divideEdges(a){this.context.model.getEdgeData().forEach(x=>{var b;const z=Nr(x);(b=this.edgePoints)[z]||(b[z]=[]);const ee=this.nodeMap[x.source],re=this.nodeMap[x.target];if(a===1)this.edgePoints[z].push(ee),this.edgePoints[z].push(Nd(es(ee,re),2)),this.edgePoints[z].push(re);else{const se=(this.edgePoints[z].length===0?vl(ee,re):qU(this.edgePoints[z]))/(a+1);let fe=se;const me=[ee];for(let Ae=1;Aefe;){const je=fe/ze,Ke=es(Le,Bd(il(ke,Le),je));me.push(Ke),ze-=fe,fe=se}fe-=ze}me.push(re),this.edgePoints[z]=me}})}getVectorPosition(a){const y=this.nodeMap[a.source],x=this.nodeMap[a.target],[b,z]=il(x,y),ee=vl(y,x);return{source:y,target:x,vx:b,vy:z,length:ee}}measureEdgeCompatibility(a,y){const x=this.getVectorPosition(a),b=this.getVectorPosition(y),z=QU(x,b),ee=YU(x,b),re=XU(x,b),ae=JU(x,b);return z*ee*re*ae}getEdgeBundles(){const a={},y=this.options.bundleThreshold,x=this.context.model.getEdgeData();return x.forEach((b,z)=>{x.forEach((ee,re)=>{var ae,se;if(re<=z)return;this.measureEdgeCompatibility(b,ee)>=y&&(a[ae=Nr(b)]||(a[ae]=[]),a[Nr(b)].push(ee),a[se=Nr(ee)]||(a[se]=[]),a[Nr(ee)].push(b))})}),a}getSpringForce(a,y){const{pre:x,cur:b,next:z}=a;return Bd(il(es(x,z),Bd(b,2)),y)}getElectrostaticForce(a,y){cf(this.edgeBundles)&&(this.edgeBundles=this.getEdgeBundles());const x=this.edgeBundles[Nr(y)];let b=[0,0];return x==null||x.forEach(z=>{const ee=this.edgePoints[Nr(z)][a],re=this.edgePoints[Nr(y)][a],ae=il(ee,re),se=vl(ee,re);b=es(b,Bd(ae,1/se))}),b}getEdgeForces(a,y,x){const b=this.nodeMap[a.source],z=this.nodeMap[a.target],ee=this.options.K/(vl(b,z)*(y+1)),re=[[0,0]],ae=Nr(a);for(let se=1;seMath.abs(T8([E.vx,E.vy],[a.vx,a.vy])/(E.length*a.length)),YU=(E,a)=>{const y=(E.length+a.length)/2;return 2/(y/Math.min(E.length,a.length)+Math.max(E.length,a.length)/y)},XU=(E,a)=>{const y=(E.length+a.length)/2,x=Nd(es(E.source,E.target),2),b=Nd(es(a.source,a.target),2);return y/(y+vl(x,b))},wM=(E,a)=>{if(a.source[0]===a.target[0])return[a.source[0],E[1]];if(a.source[1]===a.target[1])return[E[0],a.source[1]];const y=(a.source[1]-a.target[1])/(a.source[0]-a.target[0]),x=(y*y*a.source[0]+y*(E[1]-a.source[1])+E[0])/(y*y+1),b=y*(x-a.source[0])+a.source[1];return[x,b]},MM=(E,a)=>{const y=wM(a.source,E),x=wM(a.target,E),b=Nd(es(y,x),2),z=Nd(es(E.source,E.target),2);return vl(y,x)===0?0:Math.max(0,1-2*vl(z,b)/vl(y,x))},JU=(E,a)=>Math.min(MM(E,a),MM(a,E)),qU=E=>{let a=0;for(let y=1;y{if(this.options.trigger==="drag"&&this.isLensOn)return;const b=Tu(x.canvas);this.renderLens(b),this.renderFocusElements()},this.renderLens=x=>{const b=Object.assign({},$U,this.options.style);this.isLensOn||(this.lens=new Eg({style:b}),this.canvas.appendChild(this.lens)),Object.assign(b,Rd(x),{size:this.r*2}),this.lens.update(b)},this.getFilterData=()=>{const{filter:x}=this.options,{model:b}=this.context,z=b.getData();if(!x)return z;const{nodes:ee,edges:re,combos:ae}=z;return{nodes:ee.filter(se=>x(Nr(se),"node")),edges:re.filter(se=>x(Nr(se),"edge")),combos:ae.filter(se=>x(Nr(se),"combo"))}},this.getFocusElements=x=>{const{nodes:b,edges:z}=this.getFilterData(),ee=b.filter(se=>vl(fu(se),x)Nr(se)),ae=z.filter(se=>{const{source:fe,target:me}=se,Ae=re.includes(fe),Le=re.includes(me);switch(this.options.nodeType){case"both":return Ae&&Le;case"either":return Ae!==Le;case"source":return Ae&&!Le;case"target":return!Ae&&Le;default:return!1}});return{nodes:ee,edges:ae}},this.renderFocusElements=()=>{const{element:x,graph:b}=this.context;if(!this.isLensOn)return;const z=this.lens.getCenter(),{nodes:ee,edges:re}=this.getFocusElements(z),ae=new Set,se=fe=>{const me=Nr(fe);ae.add(me);const Ae=x.getElement(me);if(!Ae)return;const Le=this.shapes.get(me)||Ae.cloneNode();Le.setPosition(Ae.getPosition()),Le.id=Ae.id,this.shapes.has(me)?Object.entries(Ae.attributes).forEach(([je,Ke])=>{Le.style[je]!==Ke&&(Le.style[je]=Ke)}):(this.canvas.appendChild(Le),this.shapes.set(me,Le));const ke=b.getElementType(me),ze=this.getElementStyle(ke,fe);Le.update(ze)};ee.forEach(se),re.forEach(se),this.shapes.forEach((fe,me)=>{ae.has(me)||(fe.destroy(),this.shapes.delete(me))})},this.scaleRByWheel=x=>{var b;this.options.preventDefault&&x.preventDefault();const{clientX:z,clientY:ee,deltaX:re,deltaY:ae}=x,{graph:se,canvas:fe}=this.context,me=se.getCanvasByClient([z,ee]),Ae=(b=this.lens)===null||b===void 0?void 0:b.getCenter();if(!this.isLensOn||vl(me,Ae)>this.r)return;const{maxR:Le,minR:ke}=this.options,ze=re+ae>0?1/(1-DM):1-DM,je=Math.min(...fe.getSize())/2;this.r=Math.max(ke||0,Math.min(Le||je,this.r*ze)),this.renderLens(Ae),this.renderFocusElements()},this.isLensDragging=!1,this.onDragStart=x=>{var b;const z=Tu(x.canvas),ee=(b=this.lens)===null||b===void 0?void 0:b.getCenter();!this.isLensOn||vl(z,ee)>this.r||(this.isLensDragging=!0)},this.onDrag=x=>{if(!this.isLensDragging)return;const b=Tu(x.canvas);this.renderLens(b),this.renderFocusElements()},this.onDragEnd=()=>{this.isLensDragging=!1},this.bindEvents()}get canvas(){return this.context.canvas.getLayer("transient")}get isLensOn(){return this.lens&&!this.lens.destroyed}getElementStyle(a,y){const x=a==="node"?this.options.nodeStyle:this.options.edgeStyle;return typeof x=="function"?x(y):x}get graphDom(){return this.context.graph.getCanvas().getContextService().getDomElement()}bindEvents(){var a;const{graph:y}=this.context,{trigger:x,scaleRBy:b}=this.options,z=y.getCanvas().getLayer();["click","drag"].includes(x)&&z.addEventListener(Ea.CLICK,this.onEdgeFilter),x==="pointermove"?z.addEventListener(Ea.POINTER_MOVE,this.onEdgeFilter):x==="drag"&&(z.addEventListener(Ea.DRAG_START,this.onDragStart),z.addEventListener(Ea.DRAG,this.onDrag),z.addEventListener(Ea.DRAG_END,this.onDragEnd)),b==="wheel"&&((a=this.graphDom)===null||a===void 0||a.addEventListener(Ea.WHEEL,this.scaleRByWheel,{passive:!1}))}unbindEvents(){var a;const{graph:y}=this.context,{trigger:x,scaleRBy:b}=this.options,z=y.getCanvas().getLayer();["click","drag"].includes(x)&&z.removeEventListener(Ea.CLICK,this.onEdgeFilter),x==="pointermove"?z.removeEventListener(Ea.POINTER_MOVE,this.onEdgeFilter):x==="drag"&&(z.removeEventListener(Ea.DRAG_START,this.onDragStart),z.removeEventListener(Ea.DRAG,this.onDrag),z.removeEventListener(Ea.DRAG_END,this.onDragEnd)),b==="wheel"&&((a=this.graphDom)===null||a===void 0||a.removeEventListener(Ea.WHEEL,this.scaleRByWheel))}update(a){var y;this.unbindEvents(),super.update(a),this.r=(y=a.r)!==null&&y!==void 0?y:this.r,this.bindEvents()}destroy(){this.unbindEvents(),this.isLensOn&&this.lens.destroy(),this.shapes.forEach((a,y)=>{a.destroy(),this.shapes.delete(y)}),super.destroy()}}zy.defaultOptions={trigger:"pointermove",r:60,nodeType:"both",filter:()=>!0,style:{lineWidth:2},nodeStyle:{label:!1},edgeStyle:{label:!0},scaleRBy:"wheel",preventDefault:!0};const eW={fill:"#ccc",fillOpacity:.1,lineWidth:2,stroke:"#000",strokeOpacity:.8,labelFontSize:12},IM=.05,TM=.1;class Uy extends Lu{constructor(a,y){super(a,Object.assign({},Uy.defaultOptions,y)),this.r=this.options.r,this.d=this.options.d,this.onCreateFisheye=x=>{if(this.options.trigger==="drag"&&this.isLensOn)return;const b=Tu(x.canvas);this.onMagnify(b)},this.onMagnify=x=>{x.some(isNaN)||(this.renderLens(x),this.renderFocusElements())},this.renderLens=x=>{const b=Object.assign({},eW,this.options.style);this.isLensOn||(this.lens=new Eg({style:b}),this.canvas.appendChild(this.lens)),Object.assign(b,Rd(x),{size:this.r*2,label:this.options.showDPercent,labelText:this.getDPercent()}),this.lens.update(b)},this.getDPercent=()=>{const{minD:x,maxD:b}=this.options;return`${Math.round((this.d-x)/(b-x)*100)}%`},this.prevMagnifiedStyleMap=new Map,this.prevOriginStyleMap=new Map,this.renderFocusElements=()=>{if(!this.isLensOn)return;const{graph:x}=this.context,b=this.lens.getCenter(),z=(this.d+1)*this.r,ee=new Map,re=new Map;x.getNodeData().forEach(se=>{const fe=fu(se),me=vl(fe,b);if(me>this.r)return;const Ae=z*me/(this.d*me+this.r),[Le,ke]=fe,[ze,je]=b,Ke=(Le-ze)/me,Ze=(ke-je)/me,Je=[ze+Ae*Ke,je+Ae*Ze],tt=Nr(se),it=this.getNodeStyle(se),st=xg(x.getElementRenderStyle(tt),Object.keys(it));ee.set(tt,Object.assign(Object.assign({},Rd(Je)),it)),re.set(tt,Object.assign(Object.assign({},Rd(fe)),st))}),this.updateStyle(ee,re)},this.getNodeStyle=x=>{const{nodeStyle:b}=this.options;return typeof b=="function"?b(x):b},this.updateStyle=(x,b)=>{const{graph:z,element:ee}=this.context,{enter:re,exit:ae,keep:se}=lh(Array.from(this.prevMagnifiedStyleMap.keys()),Array.from(x.keys()),Ae=>Ae),fe=new Set,me=(Ae,Le)=>{const ke=ee.getElement(Ae);ke==null||ke.update(Le),z.getRelatedEdgesData(Ae).forEach(ze=>{fe.add(Nr(ze))})};[...re,...se].forEach(Ae=>{me(Ae,x.get(Ae))}),ae.forEach(Ae=>{me(Ae,this.prevOriginStyleMap.get(Ae)),this.prevOriginStyleMap.delete(Ae)}),fe.forEach(Ae=>{const Le=ee.getElement(Ae);Le==null||Le.update({})}),this.prevMagnifiedStyleMap=x,b.forEach((Ae,Le)=>{this.prevOriginStyleMap.has(Le)||this.prevOriginStyleMap.set(Le,Ae)})},this.isWheelValid=x=>{if(this.options.preventDefault&&x.preventDefault(),!this.isLensOn)return!1;const{clientX:b,clientY:z}=x,ee=this.context.graph.getCanvasByClient([b,z]),re=this.lens.getCenter();return!(vl(ee,re)>this.r)},this.scaleR=x=>{const{maxR:b,minR:z}=this.options,ee=x?1/(1-IM):1-IM,re=Math.min(...this.context.canvas.getSize())/2;this.r=Math.max(z||0,Math.min(b||re,this.r*ee))},this.scaleD=x=>{const{maxD:b,minD:z}=this.options,ee=x?this.d+TM:this.d-TM;this.d=Math.max(z,Math.min(b,ee))},this.scaleRByWheel=x=>{if(!this.isWheelValid(x))return;const{deltaX:b,deltaY:z}=x;this.scaleR(b+z>0);const ee=this.lens.getCenter();this.onMagnify(ee)},this.scaleDByWheel=x=>{if(!this.isWheelValid(x))return;const{deltaX:b,deltaY:z}=x;this.scaleD(b+z>0);const ee=this.lens.getCenter();this.onMagnify(ee)},this.isDragValid=x=>{if(this.options.preventDefault&&x.preventDefault(),!this.isLensOn)return!1;const b=Tu(x.canvas),z=this.lens.getCenter();return!(vl(b,z)>this.r)},this.isLensDragging=!1,this.onDragStart=x=>{this.isDragValid(x)&&(this.isLensDragging=!0)},this.onDrag=x=>{if(!this.isLensDragging)return;const b=Tu(x.canvas);this.onMagnify(b)},this.onDragEnd=()=>{this.isLensDragging=!1},this.scaleRByDrag=x=>{if(!this.isLensDragging)return;const{dx:b,dy:z}=x;this.scaleR(b-z>0);const ee=this.lens.getCenter();this.onMagnify(ee)},this.scaleDByDrag=x=>{if(!this.isLensDragging)return;const{dx:b,dy:z}=x;this.scaleD(b-z>0);const ee=this.lens.getCenter();this.onMagnify(ee)},this.bindEvents()}get canvas(){return this.context.canvas.getLayer("transient")}get isLensOn(){return this.lens&&!this.lens.destroyed}get graphDom(){return this.context.graph.getCanvas().getContextService().getDomElement()}bindEvents(){var a;const{graph:y}=this.context,{trigger:x,scaleRBy:b,scaleDBy:z}=this.options,ee=y.getCanvas().getLayer();if(["click","drag"].includes(x)&&ee.addEventListener(Ea.CLICK,this.onCreateFisheye),x==="pointermove"&&ee.addEventListener(Ea.POINTER_MOVE,this.onCreateFisheye),x==="drag"||b==="drag"||z==="drag"){ee.addEventListener(Ea.DRAG_START,this.onDragStart),ee.addEventListener(Ea.DRAG_END,this.onDragEnd);const re=x==="drag"?this.onDrag:b==="drag"?this.scaleRByDrag:this.scaleDByDrag;ee.addEventListener(Ea.DRAG,re)}if(b==="wheel"||z==="wheel"){const re=b==="wheel"?this.scaleRByWheel:this.scaleDByWheel;(a=this.graphDom)===null||a===void 0||a.addEventListener(Ea.WHEEL,re,{passive:!1})}}unbindEvents(){var a;const{graph:y}=this.context,{trigger:x,scaleRBy:b,scaleDBy:z}=this.options,ee=y.getCanvas().getLayer();if(["click","drag"].includes(x)&&ee.removeEventListener(Ea.CLICK,this.onCreateFisheye),x==="pointermove"&&ee.removeEventListener(Ea.POINTER_MOVE,this.onCreateFisheye),x==="drag"||b==="drag"||z==="drag"){ee.removeEventListener(Ea.DRAG_START,this.onDragStart),ee.removeEventListener(Ea.DRAG_END,this.onDragEnd);const re=x==="drag"?this.onDrag:b==="drag"?this.scaleRByDrag:this.scaleDByDrag;ee.removeEventListener(Ea.DRAG,re)}if(b==="wheel"||z==="wheel"){const re=b==="wheel"?this.scaleRByWheel:this.scaleDByWheel;(a=this.graphDom)===null||a===void 0||a.removeEventListener(Ea.WHEEL,re)}}update(a){var y,x;this.unbindEvents(),super.update(a),this.r=(y=a.r)!==null&&y!==void 0?y:this.r,this.d=(x=a.d)!==null&&x!==void 0?x:this.d,this.bindEvents()}destroy(){var a;this.unbindEvents(),this.isLensOn&&((a=this.lens)===null||a===void 0||a.destroy()),this.prevMagnifiedStyleMap.clear(),this.prevOriginStyleMap.clear(),super.destroy()}}Uy.defaultOptions={trigger:"pointermove",r:120,d:1.5,maxD:5,minD:0,showDPercent:!0,style:{},nodeStyle:{label:!0},preventDefault:!0};class Wy extends Lu{constructor(a,y){super(a,Object.assign({},Wy.defaultOptions,y)),this.$el=this.context.canvas.getContainer(),this.graphSize=[0,0],this.onFullscreenChange=()=>{var x,b,z,ee;const re=!!document.fullscreenElement;this.options.autoFit&&this.setGraphSize(re),re?(b=(x=this.options).onEnter)===null||b===void 0||b.call(x):(ee=(z=this.options).onExit)===null||ee===void 0||ee.call(z)},this.shortcut=new d0(a.graph),this.bindEvents(),this.style=document.createElement("style"),document.head.appendChild(this.style),this.style.innerHTML=` +`;var wM=function(E,a,y,x){function b(z){return z instanceof y?z:new y(function(ee){ee(z)})}return new(y||(y=Promise))(function(z,ee){function re(fe){try{se(x.next(fe))}catch(me){ee(me)}}function ae(fe){try{se(x.throw(fe))}catch(me){ee(me)}}function se(fe){fe.done?z(fe.value):b(fe.value).then(re,ae)}se((x=x.apply(E,a||[])).next())})};class Fy extends Lu{constructor(a,y){super(a,Object.assign({},Fy.defaultOptions,y)),this.targetElement=null,this.onTriggerEvent=x=>{var b;(b=x.preventDefault)===null||b===void 0||b.call(x),this.show(x)},this.onMenuItemClick=x=>{const{onClick:b,trigger:z}=this.options;if(x.target instanceof HTMLElement&&x.target.className.includes("g6-contextmenu-li")){const ee=x.target.getAttribute("value");b==null||b(ee,x.target,this.targetElement),this.hide()}z!=="click"&&this.hide()},this.initElement(),this.update(y)}initElement(){this.$element=x0("contextmenu",!1,{zIndex:"99"});const{className:a}=this.options;a&&this.$element.classList.add(a),this.context.canvas.getContainer().appendChild(this.$element),Mx("g6-contextmenu-css","style",{},HU,document.head)}show(a){return wM(this,void 0,void 0,function*(){const{enable:y,offset:x}=this.options;if(typeof y=="function"&&!y(a)||!y){this.hide();return}const b=yield this.getDOMContent(a);b instanceof HTMLElement?(this.$element.innerHTML="",this.$element.appendChild(b)):this.$element.innerHTML=b;const z=this.context.graph.getCanvas().getContainer().getBoundingClientRect();this.$element.style.left=`${a.client.x-z.left+x[0]}px`,this.$element.style.top=`${a.client.y-z.top+x[1]}px`,this.$element.style.display="block",this.targetElement=a.target})}hide(){this.$element.style.display="none",this.targetElement=null}update(a){this.unbindEvents(),super.update(a),this.bindEvents()}destroy(){this.unbindEvents(),super.destroy(),this.$element.remove()}getDOMContent(a){return wM(this,void 0,void 0,function*(){const{getContent:y,getItems:x}=this.options;return x?GU(yield x(a)):yield y(a)})}bindEvents(){const{graph:a}=this.context,{trigger:y}=this.options;a.on(`canvas:${y}`,this.onTriggerEvent),a.on(`node:${y}`,this.onTriggerEvent),a.on(`edge:${y}`,this.onTriggerEvent),a.on(`combo:${y}`,this.onTriggerEvent),document.addEventListener("click",this.onMenuItemClick)}unbindEvents(){const{graph:a}=this.context,{trigger:y}=this.options;a.off(`canvas:${y}`,this.onTriggerEvent),a.off(`node:${y}`,this.onTriggerEvent),a.off(`edge:${y}`,this.onTriggerEvent),a.off(`combo:${y}`,this.onTriggerEvent),document.removeEventListener("click",this.onMenuItemClick)}}Fy.defaultOptions={trigger:"contextmenu",offset:[4,4],loadingContent:'
Loading...
',getContent:()=>"It is a empty context menu.",enable:()=>!0};class ky extends Lu{constructor(a,y){super(a,Object.assign({},ky.defaultOptions,y)),this.edgeBundles={},this.edgePoints={},this.onBundle=()=>{const{model:x,element:b}=this.context,z=x.getEdgeData();this.divideEdges(this.options.divisions);const{cycles:ee,iterRate:re,divRate:ae}=this.options;let{lambda:se,divisions:fe,iterations:me}=this.options;for(let Ae=0;Ae{var je;if(We.source===We.target)return;const Ke=Nr(We);ke[Ke]=this.getEdgeForces(We,fe,se);for(let Ze=0;Ze{const Le=Nr(Ae),ke=b.getElement(Le);ke==null||ke.update({d:ZA(this.edgePoints[Le])})})},this.bindEvents()}get nodeMap(){const a=this.context.model.getNodeData();return Object.fromEntries(a.map(y=>[Nr(y),mg(fu(y))]))}divideEdges(a){this.context.model.getEdgeData().forEach(x=>{var b;const z=Nr(x);(b=this.edgePoints)[z]||(b[z]=[]);const ee=this.nodeMap[x.source],re=this.nodeMap[x.target];if(a===1)this.edgePoints[z].push(ee),this.edgePoints[z].push(Nd(es(ee,re),2)),this.edgePoints[z].push(re);else{const se=(this.edgePoints[z].length===0?vl(ee,re):YU(this.edgePoints[z]))/(a+1);let fe=se;const me=[ee];for(let Ae=1;Aefe;){const je=fe/We,Ke=es(Le,Bd(il(ke,Le),je));me.push(Ke),We-=fe,fe=se}fe-=We}me.push(re),this.edgePoints[z]=me}})}getVectorPosition(a){const y=this.nodeMap[a.source],x=this.nodeMap[a.target],[b,z]=il(x,y),ee=vl(y,x);return{source:y,target:x,vx:b,vy:z,length:ee}}measureEdgeCompatibility(a,y){const x=this.getVectorPosition(a),b=this.getVectorPosition(y),z=VU(x,b),ee=KU(x,b),re=ZU(x,b),ae=QU(x,b);return z*ee*re*ae}getEdgeBundles(){const a={},y=this.options.bundleThreshold,x=this.context.model.getEdgeData();return x.forEach((b,z)=>{x.forEach((ee,re)=>{var ae,se;if(re<=z)return;this.measureEdgeCompatibility(b,ee)>=y&&(a[ae=Nr(b)]||(a[ae]=[]),a[Nr(b)].push(ee),a[se=Nr(ee)]||(a[se]=[]),a[Nr(ee)].push(b))})}),a}getSpringForce(a,y){const{pre:x,cur:b,next:z}=a;return Bd(il(es(x,z),Bd(b,2)),y)}getElectrostaticForce(a,y){cf(this.edgeBundles)&&(this.edgeBundles=this.getEdgeBundles());const x=this.edgeBundles[Nr(y)];let b=[0,0];return x==null||x.forEach(z=>{const ee=this.edgePoints[Nr(z)][a],re=this.edgePoints[Nr(y)][a],ae=il(ee,re),se=vl(ee,re);b=es(b,Bd(ae,1/se))}),b}getEdgeForces(a,y,x){const b=this.nodeMap[a.source],z=this.nodeMap[a.target],ee=this.options.K/(vl(b,z)*(y+1)),re=[[0,0]],ae=Nr(a);for(let se=1;seMath.abs(M8([E.vx,E.vy],[a.vx,a.vy])/(E.length*a.length)),KU=(E,a)=>{const y=(E.length+a.length)/2;return 2/(y/Math.min(E.length,a.length)+Math.max(E.length,a.length)/y)},ZU=(E,a)=>{const y=(E.length+a.length)/2,x=Nd(es(E.source,E.target),2),b=Nd(es(a.source,a.target),2);return y/(y+vl(x,b))},MM=(E,a)=>{if(a.source[0]===a.target[0])return[a.source[0],E[1]];if(a.source[1]===a.target[1])return[E[0],a.source[1]];const y=(a.source[1]-a.target[1])/(a.source[0]-a.target[0]),x=(y*y*a.source[0]+y*(E[1]-a.source[1])+E[0])/(y*y+1),b=y*(x-a.source[0])+a.source[1];return[x,b]},DM=(E,a)=>{const y=MM(a.source,E),x=MM(a.target,E),b=Nd(es(y,x),2),z=Nd(es(E.source,E.target),2);return vl(y,x)===0?0:Math.max(0,1-2*vl(z,b)/vl(y,x))},QU=(E,a)=>Math.min(DM(E,a),DM(a,E)),YU=E=>{let a=0;for(let y=1;y{if(this.options.trigger==="drag"&&this.isLensOn)return;const b=Ou(x.canvas);this.renderLens(b),this.renderFocusElements()},this.renderLens=x=>{const b=Object.assign({},XU,this.options.style);this.isLensOn||(this.lens=new Eg({style:b}),this.canvas.appendChild(this.lens)),Object.assign(b,Rd(x),{size:this.r*2}),this.lens.update(b)},this.getFilterData=()=>{const{filter:x}=this.options,{model:b}=this.context,z=b.getData();if(!x)return z;const{nodes:ee,edges:re,combos:ae}=z;return{nodes:ee.filter(se=>x(Nr(se),"node")),edges:re.filter(se=>x(Nr(se),"edge")),combos:ae.filter(se=>x(Nr(se),"combo"))}},this.getFocusElements=x=>{const{nodes:b,edges:z}=this.getFilterData(),ee=b.filter(se=>vl(fu(se),x)Nr(se)),ae=z.filter(se=>{const{source:fe,target:me}=se,Ae=re.includes(fe),Le=re.includes(me);switch(this.options.nodeType){case"both":return Ae&&Le;case"either":return Ae!==Le;case"source":return Ae&&!Le;case"target":return!Ae&&Le;default:return!1}});return{nodes:ee,edges:ae}},this.renderFocusElements=()=>{const{element:x,graph:b}=this.context;if(!this.isLensOn)return;const z=this.lens.getCenter(),{nodes:ee,edges:re}=this.getFocusElements(z),ae=new Set,se=fe=>{const me=Nr(fe);ae.add(me);const Ae=x.getElement(me);if(!Ae)return;const Le=this.shapes.get(me)||Ae.cloneNode();Le.setPosition(Ae.getPosition()),Le.id=Ae.id,this.shapes.has(me)?Object.entries(Ae.attributes).forEach(([je,Ke])=>{Le.style[je]!==Ke&&(Le.style[je]=Ke)}):(this.canvas.appendChild(Le),this.shapes.set(me,Le));const ke=b.getElementType(me),We=this.getElementStyle(ke,fe);Le.update(We)};ee.forEach(se),re.forEach(se),this.shapes.forEach((fe,me)=>{ae.has(me)||(fe.destroy(),this.shapes.delete(me))})},this.scaleRByWheel=x=>{var b;this.options.preventDefault&&x.preventDefault();const{clientX:z,clientY:ee,deltaX:re,deltaY:ae}=x,{graph:se,canvas:fe}=this.context,me=se.getCanvasByClient([z,ee]),Ae=(b=this.lens)===null||b===void 0?void 0:b.getCenter();if(!this.isLensOn||vl(me,Ae)>this.r)return;const{maxR:Le,minR:ke}=this.options,We=re+ae>0?1/(1-IM):1-IM,je=Math.min(...fe.getSize())/2;this.r=Math.max(ke||0,Math.min(Le||je,this.r*We)),this.renderLens(Ae),this.renderFocusElements()},this.isLensDragging=!1,this.onDragStart=x=>{var b;const z=Ou(x.canvas),ee=(b=this.lens)===null||b===void 0?void 0:b.getCenter();!this.isLensOn||vl(z,ee)>this.r||(this.isLensDragging=!0)},this.onDrag=x=>{if(!this.isLensDragging)return;const b=Ou(x.canvas);this.renderLens(b),this.renderFocusElements()},this.onDragEnd=()=>{this.isLensDragging=!1},this.bindEvents()}get canvas(){return this.context.canvas.getLayer("transient")}get isLensOn(){return this.lens&&!this.lens.destroyed}getElementStyle(a,y){const x=a==="node"?this.options.nodeStyle:this.options.edgeStyle;return typeof x=="function"?x(y):x}get graphDom(){return this.context.graph.getCanvas().getContextService().getDomElement()}bindEvents(){var a;const{graph:y}=this.context,{trigger:x,scaleRBy:b}=this.options,z=y.getCanvas().getLayer();["click","drag"].includes(x)&&z.addEventListener(Ea.CLICK,this.onEdgeFilter),x==="pointermove"?z.addEventListener(Ea.POINTER_MOVE,this.onEdgeFilter):x==="drag"&&(z.addEventListener(Ea.DRAG_START,this.onDragStart),z.addEventListener(Ea.DRAG,this.onDrag),z.addEventListener(Ea.DRAG_END,this.onDragEnd)),b==="wheel"&&((a=this.graphDom)===null||a===void 0||a.addEventListener(Ea.WHEEL,this.scaleRByWheel,{passive:!1}))}unbindEvents(){var a;const{graph:y}=this.context,{trigger:x,scaleRBy:b}=this.options,z=y.getCanvas().getLayer();["click","drag"].includes(x)&&z.removeEventListener(Ea.CLICK,this.onEdgeFilter),x==="pointermove"?z.removeEventListener(Ea.POINTER_MOVE,this.onEdgeFilter):x==="drag"&&(z.removeEventListener(Ea.DRAG_START,this.onDragStart),z.removeEventListener(Ea.DRAG,this.onDrag),z.removeEventListener(Ea.DRAG_END,this.onDragEnd)),b==="wheel"&&((a=this.graphDom)===null||a===void 0||a.removeEventListener(Ea.WHEEL,this.scaleRByWheel))}update(a){var y;this.unbindEvents(),super.update(a),this.r=(y=a.r)!==null&&y!==void 0?y:this.r,this.bindEvents()}destroy(){this.unbindEvents(),this.isLensOn&&this.lens.destroy(),this.shapes.forEach((a,y)=>{a.destroy(),this.shapes.delete(y)}),super.destroy()}}_y.defaultOptions={trigger:"pointermove",r:60,nodeType:"both",filter:()=>!0,style:{lineWidth:2},nodeStyle:{label:!1},edgeStyle:{label:!0},scaleRBy:"wheel",preventDefault:!0};const JU={fill:"#ccc",fillOpacity:.1,lineWidth:2,stroke:"#000",strokeOpacity:.8,labelFontSize:12},OM=.05,TM=.1;class zy extends Lu{constructor(a,y){super(a,Object.assign({},zy.defaultOptions,y)),this.r=this.options.r,this.d=this.options.d,this.onCreateFisheye=x=>{if(this.options.trigger==="drag"&&this.isLensOn)return;const b=Ou(x.canvas);this.onMagnify(b)},this.onMagnify=x=>{x.some(isNaN)||(this.renderLens(x),this.renderFocusElements())},this.renderLens=x=>{const b=Object.assign({},JU,this.options.style);this.isLensOn||(this.lens=new Eg({style:b}),this.canvas.appendChild(this.lens)),Object.assign(b,Rd(x),{size:this.r*2,label:this.options.showDPercent,labelText:this.getDPercent()}),this.lens.update(b)},this.getDPercent=()=>{const{minD:x,maxD:b}=this.options;return`${Math.round((this.d-x)/(b-x)*100)}%`},this.prevMagnifiedStyleMap=new Map,this.prevOriginStyleMap=new Map,this.renderFocusElements=()=>{if(!this.isLensOn)return;const{graph:x}=this.context,b=this.lens.getCenter(),z=(this.d+1)*this.r,ee=new Map,re=new Map;x.getNodeData().forEach(se=>{const fe=fu(se),me=vl(fe,b);if(me>this.r)return;const Ae=z*me/(this.d*me+this.r),[Le,ke]=fe,[We,je]=b,Ke=(Le-We)/me,Ze=(ke-je)/me,Je=[We+Ae*Ke,je+Ae*Ze],tt=Nr(se),at=this.getNodeStyle(se),st=xg(x.getElementRenderStyle(tt),Object.keys(at));ee.set(tt,Object.assign(Object.assign({},Rd(Je)),at)),re.set(tt,Object.assign(Object.assign({},Rd(fe)),st))}),this.updateStyle(ee,re)},this.getNodeStyle=x=>{const{nodeStyle:b}=this.options;return typeof b=="function"?b(x):b},this.updateStyle=(x,b)=>{const{graph:z,element:ee}=this.context,{enter:re,exit:ae,keep:se}=ch(Array.from(this.prevMagnifiedStyleMap.keys()),Array.from(x.keys()),Ae=>Ae),fe=new Set,me=(Ae,Le)=>{const ke=ee.getElement(Ae);ke==null||ke.update(Le),z.getRelatedEdgesData(Ae).forEach(We=>{fe.add(Nr(We))})};[...re,...se].forEach(Ae=>{me(Ae,x.get(Ae))}),ae.forEach(Ae=>{me(Ae,this.prevOriginStyleMap.get(Ae)),this.prevOriginStyleMap.delete(Ae)}),fe.forEach(Ae=>{const Le=ee.getElement(Ae);Le==null||Le.update({})}),this.prevMagnifiedStyleMap=x,b.forEach((Ae,Le)=>{this.prevOriginStyleMap.has(Le)||this.prevOriginStyleMap.set(Le,Ae)})},this.isWheelValid=x=>{if(this.options.preventDefault&&x.preventDefault(),!this.isLensOn)return!1;const{clientX:b,clientY:z}=x,ee=this.context.graph.getCanvasByClient([b,z]),re=this.lens.getCenter();return!(vl(ee,re)>this.r)},this.scaleR=x=>{const{maxR:b,minR:z}=this.options,ee=x?1/(1-OM):1-OM,re=Math.min(...this.context.canvas.getSize())/2;this.r=Math.max(z||0,Math.min(b||re,this.r*ee))},this.scaleD=x=>{const{maxD:b,minD:z}=this.options,ee=x?this.d+TM:this.d-TM;this.d=Math.max(z,Math.min(b,ee))},this.scaleRByWheel=x=>{if(!this.isWheelValid(x))return;const{deltaX:b,deltaY:z}=x;this.scaleR(b+z>0);const ee=this.lens.getCenter();this.onMagnify(ee)},this.scaleDByWheel=x=>{if(!this.isWheelValid(x))return;const{deltaX:b,deltaY:z}=x;this.scaleD(b+z>0);const ee=this.lens.getCenter();this.onMagnify(ee)},this.isDragValid=x=>{if(this.options.preventDefault&&x.preventDefault(),!this.isLensOn)return!1;const b=Ou(x.canvas),z=this.lens.getCenter();return!(vl(b,z)>this.r)},this.isLensDragging=!1,this.onDragStart=x=>{this.isDragValid(x)&&(this.isLensDragging=!0)},this.onDrag=x=>{if(!this.isLensDragging)return;const b=Ou(x.canvas);this.onMagnify(b)},this.onDragEnd=()=>{this.isLensDragging=!1},this.scaleRByDrag=x=>{if(!this.isLensDragging)return;const{dx:b,dy:z}=x;this.scaleR(b-z>0);const ee=this.lens.getCenter();this.onMagnify(ee)},this.scaleDByDrag=x=>{if(!this.isLensDragging)return;const{dx:b,dy:z}=x;this.scaleD(b-z>0);const ee=this.lens.getCenter();this.onMagnify(ee)},this.bindEvents()}get canvas(){return this.context.canvas.getLayer("transient")}get isLensOn(){return this.lens&&!this.lens.destroyed}get graphDom(){return this.context.graph.getCanvas().getContextService().getDomElement()}bindEvents(){var a;const{graph:y}=this.context,{trigger:x,scaleRBy:b,scaleDBy:z}=this.options,ee=y.getCanvas().getLayer();if(["click","drag"].includes(x)&&ee.addEventListener(Ea.CLICK,this.onCreateFisheye),x==="pointermove"&&ee.addEventListener(Ea.POINTER_MOVE,this.onCreateFisheye),x==="drag"||b==="drag"||z==="drag"){ee.addEventListener(Ea.DRAG_START,this.onDragStart),ee.addEventListener(Ea.DRAG_END,this.onDragEnd);const re=x==="drag"?this.onDrag:b==="drag"?this.scaleRByDrag:this.scaleDByDrag;ee.addEventListener(Ea.DRAG,re)}if(b==="wheel"||z==="wheel"){const re=b==="wheel"?this.scaleRByWheel:this.scaleDByWheel;(a=this.graphDom)===null||a===void 0||a.addEventListener(Ea.WHEEL,re,{passive:!1})}}unbindEvents(){var a;const{graph:y}=this.context,{trigger:x,scaleRBy:b,scaleDBy:z}=this.options,ee=y.getCanvas().getLayer();if(["click","drag"].includes(x)&&ee.removeEventListener(Ea.CLICK,this.onCreateFisheye),x==="pointermove"&&ee.removeEventListener(Ea.POINTER_MOVE,this.onCreateFisheye),x==="drag"||b==="drag"||z==="drag"){ee.removeEventListener(Ea.DRAG_START,this.onDragStart),ee.removeEventListener(Ea.DRAG_END,this.onDragEnd);const re=x==="drag"?this.onDrag:b==="drag"?this.scaleRByDrag:this.scaleDByDrag;ee.removeEventListener(Ea.DRAG,re)}if(b==="wheel"||z==="wheel"){const re=b==="wheel"?this.scaleRByWheel:this.scaleDByWheel;(a=this.graphDom)===null||a===void 0||a.removeEventListener(Ea.WHEEL,re)}}update(a){var y,x;this.unbindEvents(),super.update(a),this.r=(y=a.r)!==null&&y!==void 0?y:this.r,this.d=(x=a.d)!==null&&x!==void 0?x:this.d,this.bindEvents()}destroy(){var a;this.unbindEvents(),this.isLensOn&&((a=this.lens)===null||a===void 0||a.destroy()),this.prevMagnifiedStyleMap.clear(),this.prevOriginStyleMap.clear(),super.destroy()}}zy.defaultOptions={trigger:"pointermove",r:120,d:1.5,maxD:5,minD:0,showDPercent:!0,style:{},nodeStyle:{label:!0},preventDefault:!0};class Uy extends Lu{constructor(a,y){super(a,Object.assign({},Uy.defaultOptions,y)),this.$el=this.context.canvas.getContainer(),this.graphSize=[0,0],this.onFullscreenChange=()=>{var x,b,z,ee;const re=!!document.fullscreenElement;this.options.autoFit&&this.setGraphSize(re),re?(b=(x=this.options).onEnter)===null||b===void 0||b.call(x):(ee=(z=this.options).onExit)===null||ee===void 0||ee.call(z)},this.shortcut=new f0(a.graph),this.bindEvents(),this.style=document.createElement("style"),document.head.appendChild(this.style),this.style.innerHTML=` :not(:root):fullscreen::backdrop { background: transparent; } - `}bindEvents(){this.unbindEvents(),this.shortcut.unbindAll();const{request:a=[],exit:y=[]}=this.options.trigger;this.shortcut.bind(a,this.request),this.shortcut.bind(y,this.exit),["webkitfullscreenchange","mozfullscreenchange","fullscreenchange","MSFullscreenChange"].forEach(b=>{document.addEventListener(b,this.onFullscreenChange,!1)})}unbindEvents(){this.shortcut.unbindAll(),["webkitfullscreenchange","mozfullscreenchange","fullscreenchange","MSFullscreenChange"].forEach(y=>{document.removeEventListener(y,this.onFullscreenChange,!1)})}setGraphSize(a=!0){var y,x;let b,z;a?(b=((y=globalThis.screen)===null||y===void 0?void 0:y.width)||0,z=((x=globalThis.screen)===null||x===void 0?void 0:x.height)||0,this.graphSize=this.context.graph.getSize()):[b,z]=this.graphSize,this.context.graph.setSize(b,z),this.context.graph.render()}request(){document.fullscreenElement||!tW()||this.$el.requestFullscreen().catch(a=>{Ac.warn(`Error attempting to enable full-screen: ${a.message} (${a.name})`)})}exit(){document.fullscreenElement&&document.exitFullscreen()}update(a){this.unbindEvents(),super.update(a),this.bindEvents()}destroy(){this.exit(),this.style.remove(),super.destroy()}}Wy.defaultOptions={trigger:{},autoFit:!0};function tW(){return document.fullscreenEnabled||Reflect.get(document,"webkitFullscreenEnabled")||Reflect.get(document,"mozFullscreenEnabled")||Reflect.get(document,"msFullscreenEnabled")}class jy extends Lu{constructor(a,y){super(a,Object.assign({},jy.defaultOptions,y)),this.$element=A0("grid-line",!0),this.offset=[0,0],this.currentScale=1,this.followZoom=b=>{const{data:{scale:z,origin:ee}}=b;if(!z)return;const re=this.currentScale;this.currentScale=z;const ae=z/re,se=Bd(ee||this.context.graph.getCanvasCenter(),1-ae),fe=this.baseSize*z,me=Bd(this.offset,ae),Ae=wA(me,fe),Le=es(Ae,se);this.$element.style.backgroundSize=`${fe}px ${fe}px`,this.$element.style.backgroundPosition=`${Le[0]}px ${Le[1]}px`,this.offset=wA(Le,fe)},this.followTranslate=b=>{if(!this.options.follow)return;const{data:{translate:z}}=b;z&&this.updateOffset(z)},this.onTransform=b=>{const z=this.parseFollow(this.options.follow);z.zoom&&this.followZoom(b),z.translate&&this.followTranslate(b)},this.context.canvas.getContainer().prepend(this.$element),this.baseSize=this.options.size,this.updateStyle(),this.bindEvents()}update(a){super.update(a),a.size!==void 0&&(this.baseSize=a.size),this.updateStyle()}bindEvents(){const{graph:a}=this.context;a.on(hi.AFTER_TRANSFORM,this.onTransform)}updateStyle(){const{stroke:a,lineWidth:y,border:x,borderLineWidth:b,borderStroke:z,borderStyle:ee}=this.options,re=this.baseSize*this.currentScale;Object.assign(this.$element.style,{border:x?`${b}px ${ee} ${z}`:"none",backgroundImage:`linear-gradient(${a} ${y}px, transparent ${y}px), linear-gradient(90deg, ${a} ${y}px, transparent ${y}px)`,backgroundSize:`${re}px ${re}px`,backgroundRepeat:"repeat"})}updateOffset(a){const y=this.baseSize*this.currentScale;this.offset=wA(es(this.offset,a),y),this.$element.style.backgroundPosition=`${this.offset[0]}px ${this.offset[1]}px`}parseFollow(a){var y,x;return H0(a)?{translate:a,zoom:a}:{translate:(y=a==null?void 0:a.translate)!==null&&y!==void 0?y:!1,zoom:(x=a==null?void 0:a.zoom)!==null&&x!==void 0?x:!1}}destroy(){this.context.graph.off(hi.AFTER_TRANSFORM,this.onTransform),this.$element.remove(),super.destroy()}}jy.defaultOptions={border:!0,borderLineWidth:1,borderStroke:"#eee",borderStyle:"solid",lineWidth:1,size:20,stroke:"#eee"};function Lx(E){const a={Added:new Map,Updated:new Map,Removed:new Map};return E.forEach(y=>{const{type:x,value:b}=y,z=Nr(b);if(x==="NodeAdded"||x==="EdgeAdded"||x==="ComboAdded")a.Added.set(z,y);else if(x==="NodeUpdated"||x==="EdgeUpdated"||x==="ComboUpdated")if(a.Added.has(z))a.Added.set(z,{type:x.replace("Updated","Added"),value:b});else if(a.Updated.has(z)){const{original:ee}=a.Updated.get(z);a.Updated.set(z,{type:x,value:b,original:ee})}else a.Removed.has(z)||a.Updated.set(z,y);else(x==="NodeRemoved"||x==="EdgeRemoved"||x==="ComboRemoved")&&(a.Added.has(z)?a.Added.delete(z):(a.Updated.has(z)&&a.Updated.delete(z),a.Removed.set(z,y)))}),[...Array.from(a.Added.values()),...Array.from(a.Updated.values()),...Array.from(a.Removed.values())]}function OM(E){const{NodeAdded:a=[],NodeUpdated:y=[],NodeRemoved:x=[],EdgeAdded:b=[],EdgeUpdated:z=[],EdgeRemoved:ee=[],ComboAdded:re=[],ComboUpdated:ae=[],ComboRemoved:se=[]}=up(E,fe=>fe.type);return{add:{nodes:a,edges:b,combos:re},update:{nodes:y,edges:z,combos:ae},remove:{nodes:x,edges:ee,combos:se}}}function LM(E,a){for(const y in E)Vl(E[y])&&!Array.isArray(E[y])&&E[y]!==null?(a[y]||(a[y]={}),LM(E[y],a[y])):a[y]===void 0&&(a[y]=cv(y))}function nW(E,a=!1,y){const x={animation:a,current:{add:{},update:{},remove:{}},original:{add:{},update:{},remove:{}}},{add:b,update:z,remove:ee}=OM(Lx(E));return["nodes","edges","combos"].forEach(re=>{z[re]&&z[re].forEach(ae=>{var se,fe;const me=Object.assign({},ae.value);let Ae=Object.assign({},ae.original);if(y){const Le=y.graph.getElementType(Nr(ae.original)),ke=Le==="edge"?"stroke":"fill",ze=y.element.getElementComputedStyle(Le,ae.original);Ae=Object.assign(Object.assign({},ae.original),{style:Object.assign({[ke]:ze[ke]},ae.original.style)})}LM(me,Ae),(se=x.current.update)[re]||(se[re]=[]),x.current.update[re].push(me),(fe=x.original.update)[re]||(fe[re]=[]),x.original.update[re].push(Ae)}),b[re]&&b[re].forEach(ae=>{var se,fe;const me=Object.assign({},ae.value);(se=x.current.add)[re]||(se[re]=[]),x.current.add[re].push(me),(fe=x.original.remove)[re]||(fe[re]=[]),x.original.remove[re].push(me)}),ee[re]&&ee[re].forEach(ae=>{var se,fe;const me=Object.assign({},ae.value);(se=x.current.remove)[re]||(se[re]=[]),x.current.remove[re].push(me),(fe=x.original.add)[re]||(fe[re]=[]),x.original.add[re].push(me)})}),x}class Gy extends Lu{constructor(a,y){super(a,Object.assign({},Gy.defaultOptions,y)),this.batchChanges=null,this.batchAnimation=!1,this.undoStack=[],this.redoStack=[],this.freezed=!1,this.executeCommand=(b,z=!0)=>{var ee,re,ae;this.freezed=!0,(re=(ee=this.options).executeCommand)===null||re===void 0||re.call(ee,b);const se=z?b.original:b.current;this.context.graph.addData(se.add),this.context.graph.updateData(se.update),this.context.graph.removeData(W2(se.remove,!1)),(ae=this.context.element)===null||ae===void 0||ae.draw({silence:!0,animation:b.animation}),this.freezed=!1},this.addCommand=b=>{var z;if(!this.freezed){if(b.type===hi.AFTER_DRAW){const{dataChanges:ee=[],animation:re=!0}=b.data;if(!((z=this.context.batch)===null||z===void 0)&&z.isBatching){if(!this.batchChanges)return;this.batchChanges.push(ee),this.batchAnimation&&(this.batchAnimation=re);return}this.batchChanges=[ee],this.batchAnimation=re}this.undoStackPush(nW(this.batchChanges.flat(),this.batchAnimation,this.context)),this.notify(ah.ADD,this.undoStack[this.undoStack.length-1])}},this.initBatchCommand=b=>{const{initiate:z}=b.data;this.batchAnimation=!1,z?this.batchChanges=[]:this.undoStack.pop()||(this.batchChanges=null)},this.emitter=new oy;const{graph:x}=this.context;x.on(hi.AFTER_DRAW,this.addCommand),x.on(hi.BATCH_START,this.initBatchCommand),x.on(hi.BATCH_END,this.addCommand)}canUndo(){return this.undoStack.length>0}canRedo(){return this.redoStack.length>0}undo(){var a,y,x,b;const z=this.undoStack.pop();if(z){if(this.executeCommand(z),((y=(a=this.options).beforeAddCommand)===null||y===void 0?void 0:y.call(a,z,!1))===!1)return;this.redoStack.push(z),(b=(x=this.options).afterAddCommand)===null||b===void 0||b.call(x,z,!1),this.notify(ah.UNDO,z)}return this}redo(){const a=this.redoStack.pop();return a&&(this.executeCommand(a,!1),this.undoStackPush(a),this.notify(ah.REDO,a)),this}undoAndCancel(){const a=this.undoStack.pop();return a&&(this.executeCommand(a,!1),this.redoStack=[],this.notify(ah.CANCEL,a)),this}undoStackPush(a){var y,x,b,z;const{stackSize:ee}=this.options;ee!==0&&this.undoStack.length>=ee&&this.undoStack.shift(),((x=(y=this.options).beforeAddCommand)===null||x===void 0?void 0:x.call(y,a,!0))!==!1&&(this.undoStack.push(a),(z=(b=this.options).afterAddCommand)===null||z===void 0||z.call(b,a,!0))}clear(){this.undoStack=[],this.redoStack=[],this.batchChanges=null,this.batchAnimation=!1,this.notify(ah.CLEAR,null)}notify(a,y){this.emitter.emit(a,{cmd:y}),this.emitter.emit(ah.CHANGE,{cmd:y})}on(a,y){this.emitter.on(a,y)}destroy(){const{graph:a}=this.context;a.off(hi.AFTER_DRAW,this.addCommand),a.off(hi.BATCH_START,this.initBatchCommand),a.off(hi.BATCH_END,this.addCommand),this.emitter.off(),super.destroy(),this.undoStack=[],this.redoStack=[]}}Gy.defaultOptions={stackSize:0};const Bx={toXy(E,a){if(!a)return[...E];const y=a[0].slice(1),x=a[1].slice(1);return E.map(b=>[b[y],b[x]])},fromXy(E,a){if(!a)return[...E];const y=a[0].slice(1),x=a[1].slice(1);return E.map(([b,z])=>({[y]:b,[x]:z}))}};class rW{constructor(a,y){this._cells=[],this._cellSize=y,this._reverseCellSize=1/y;for(const x of a){const b=this.coordToCellNum(x[0]),z=this.coordToCellNum(x[1]);this._cells[b]||(this._cells[b]=[]),this._cells[b][z]||(this._cells[b][z]=[]),this._cells[b][z].push(x)}}cellPoints(a,y){var x;return((x=this._cells[a])===null||x===void 0?void 0:x[y])||[]}rangePoints(a){const y=this.coordToCellNum(a[0]),x=this.coordToCellNum(a[1]),b=this.coordToCellNum(a[2]),z=this.coordToCellNum(a[3]),ee=[];for(let re=y;re<=b;re++)for(let ae=x;ae<=z;ae++){const se=this.cellPoints(re,ae);for(const fe of se)ee.push(fe)}return ee}removePoint(a){const y=this.coordToCellNum(a[0]),x=this.coordToCellNum(a[1]),b=this._cells[y][x],z=b.findIndex(([ee,re])=>ee===a[0]&&re===a[1]);return z>-1&&b.splice(z,1),b}trunc(a){return Math.trunc(a)}coordToCellNum(a){return this.trunc(a*this._reverseCellSize)}extendBbox(a,y){return[a[0]-y*this._cellSize,a[1]-y*this._cellSize,a[2]+y*this._cellSize,a[3]+y*this._cellSize]}}function aW(E,a){return new rW(E,a)}const BM=+(Math.pow(2,27)+1);function Hy(E,a,y){const x=E*a,b=BM*E,z=b-E,ee=b-z,re=E-ee,ae=BM*a,se=ae-a,fe=ae-se,me=a-fe,ke=x-ee*fe-re*fe-ee*me,ze=re*me-ke;return y?(y[0]=ze,y[1]=x,y):[ze,x]}function iW(E,a,y){const x=E+a,b=x-E,z=x-b,ee=a-b,re=E-z;return y?(y[0]=re+ee,y[1]=x,y):[re+ee,x]}function oW(E,a){const y=E.length;if(y===1){const re=Hy(E[0],a);return re[0]?re:[re[1]]}const x=new Array(2*y),b=[.1,.1],z=[.1,.1];let ee=0;Hy(E[0],a,b),b[0]&&(x[ee++]=b[0]);for(let re=1;re=x?(ke=fe,re+=1,re=x?(ke=fe,re+=1,re0){if(z<=0)return ee;re=b+z}else if(b<0){if(z>=0)return ee;re=-(b+z)}else return ee;const ae=dW*re;return ee>=ae||ee<=-ae?ee:mW(a,y,x)},function(a,y,x,b){const z=a[0]-b[0],ee=y[0]-b[0],re=x[0]-b[0],ae=a[1]-b[1],se=y[1]-b[1],fe=x[1]-b[1],me=a[2]-b[2],Ae=y[2]-b[2],Le=x[2]-b[2],ke=ee*fe,ze=re*se,je=re*ae,Ke=z*fe,Ze=z*se,Je=ee*ae,tt=me*(ke-ze)+Ae*(je-Ke)+Le*(Ze-Je),it=(Math.abs(ke)+Math.abs(ze))*Math.abs(me)+(Math.abs(je)+Math.abs(Ke))*Math.abs(Ae)+(Math.abs(Ze)+Math.abs(Je))*Math.abs(Le),st=fW*it;return tt>st||-tt>st?tt:pW(a,y,x,b)}];function yW(E){let a=Ig[E.length];return a||(a=Ig[E.length]=Ky(E.length)),a.apply(void 0,...E)}function EW(E,a,y,x,b,z,ee){return function(...ae){switch(ae.length){case 0:case 1:return 0;case 2:return x(ae[0],ae[1]);case 3:return b(ae[0],ae[1],ae[2]);case 4:return z(ae[0],ae[1],ae[2],ae[3]);case 5:return ee(ae[0],ae[1],ae[2],ae[3],ae[4])}return E(ae)}}function AW(){for(;Ig.length<=NM;)Ig.push(Ky(Ig.length));const E=EW(void 0,yW,...Ig);for(let a=0;a<=NM;++a)E[a]=Ig[a];return E}var kv=AW();const RM=kv[3];function xW(E){const a=E.length;if(a<3){const re=new Array(a);for(let ae=0;ae{const se=E[re][0]-E[ae][0];return se||E[re][1]-E[ae][1]});const x=[y[0],y[1]],b=[y[0],y[1]];for(let re=2;re1&&RM(E[x[fe-2]],E[x[fe-1]],se)<=0;)fe-=1,x.pop();for(x.push(ae),fe=b.length;fe>1&&RM(E[b[fe-2]],E[b[fe-1]],se)>=0;)fe-=1,b.pop();b.push(ae)}const z=new Array(b.length+x.length-2);let ee=0;for(let re=0,ae=x.length;re0;--re)z[ee++]=b[re];return z}function SW(E,a,y,x){for(let b=0;b<2;++b){const z=E[b],ee=a[b],[re,ae]=[Math.min(z,ee),Math.max(z,ee)],se=y[b],fe=x[b],[me,Ae]=[Math.min(se,fe),Math.max(se,fe)];if(Ae0&&z>0||b<0&&z<0)return!1;const ee=kv(y,E,a),re=kv(x,E,a);return ee>0&&re>0||ee<0&&re<0?!1:b===0&&z===0&&ee===0&&re===0?SW(E,a,y,x):!0}function CW(E){const a=[E[0]];let y=E[0];for(let x=1;x=0;z--)E[z][0]x&&(x=E[z][0]),E[z][1]>b&&(b=E[z][1]);return[x-a,b-y]}function MW(E){return[Math.min(E[0][0],E[1][0]),Math.min(E[0][1],E[1][1]),Math.max(E[0][0],E[1][0]),Math.max(E[0][1],E[1][1])]}function DW(E,a,y){let x=null,b=zM,z=zM,ee,re;for(let ae=0;aeb&&re>z&&!kM([E[0],a[ae]],y)&&!kM([E[1],a[ae]],y)&&(b=ee,z=re,x=a[ae]);return x}function _M(E,a,y,x,b){let z=!1;for(let ee=0;eeme||y[1]>Ae));me>=y[0]&&Ae>=y[1]&&b.add(ae),Le!==null&&(E.splice(ee+1,0,Le),x.removePoint(Le),z=!0)}return z?_M(E,a,y,x,b):E}function IW(E,a,y){const x=a||20,b=CW(PW(Bx.toXy(E,y)));if(b.length<4){const me=b.concat([b[0]]);return y?Bx.fromXy(me,y):me}const z=wW(b),ee=[z[0]*UM,z[1]*UM],re=xW(b).reverse().map(me=>b[me]);re.push(re[0]);const ae=b.filter(function(me){return re.indexOf(me)<0}),se=Math.ceil(1/(b.length/(z[0]*z[1]))),fe=_M(re,Math.pow(x,2),ee,aW(ae,se),new Set);return y?Bx.fromXy(fe,y):fe}const zM=Math.cos(90/(180/Math.PI)),UM=.6;function TW(E,a,y){if(E.length===1)return OW(E[0],a,y);if(E.length===2)return WM(E,a,y);if(E.length===3){const[x,b,z]=DA(E);if(J2(x,b,z))return WM([x,z],a,y)}switch(y){case"smooth":return BW(E,a);case"sharp":return NW(E,a);case"rounded":default:return LW(E,a)}}const OW=(E,a,y)=>{if(y==="sharp")return[["M",E[0]-a,E[1]-a],["L",E[0]+a,E[1]-a],["L",E[0]+a,E[1]+a],["L",E[0]-a,E[1]+a],["Z"]];const x=[a,a,0,0,0];return[["M",E[0],E[1]-a],["A",...x,E[0],E[1]+a],["A",...x,E[0],E[1]-a]]},WM=(E,a,y)=>{const x=[a,a,0,0,0],b=y==="sharp"?es(E[0],uh(Of(il(E[0],E[1])),a)):E[0],z=y==="sharp"?es(E[1],uh(Of(il(E[1],E[0])),a)):E[1],ee=uh(Of(wp(il(b,z),!1)),a),re=uh(ee,-1),ae=es(b,ee),se=es(z,ee),fe=es(z,re),me=es(b,re);return y==="sharp"?[["M",ae[0],ae[1]],["L",se[0],se[1]],["L",fe[0],fe[1]],["L",me[0],me[1]],["Z"]]:[["M",ae[0],ae[1]],["L",se[0],se[1]],["A",...x,fe[0],fe[1]],["L",me[0],me[1]],["A",...x,ae[0],ae[1]]]},LW=(E,a)=>{const y=DA(E).map((re,ae)=>{const se=(ae-2+E.length)%E.length,fe=(ae-1+E.length)%E.length,me=(ae+1)%E.length,Ae=E[se],Le=E[fe],ke=E[me],ze=il(Ae,Le),je=il(Le,re),Ke=il(re,ke),Ze=(dt,lt)=>PA(dt,lt,!0)uh(Of(wp(dt,!1)),a),st=it(je);return[{p:mg(Je?es(Le,it(ze)):es(Le,st)),concave:Je&&Le},{p:mg(tt?es(re,it(Ke)):es(re,st)),concave:tt&&re}]}),x=[a,a,0,0,0],b=y.findIndex((re,ae)=>!y[(ae-1+y.length)%y.length][0].concave&&!y[(ae-1+y.length)%y.length][1].concave&&!re[0].concave&&!re[0].concave&&!re[1].concave),z=y.slice(b).concat(y.slice(0,b));let ee=[];return z.flatMap((re,ae)=>{const se=[],fe=z[y.length-1];return ae===0&&se.push(["M",...fe[1].p]),re[0].concave?ee.push(re[0].p,re[1].p):se.push(["A",...x,...re[0].p]),re[1].concave?ee.unshift(re[1].p):se.push(["L",...re[1].p]),ee.length===3&&(se.pop(),se.push(["C",...ee.flat()]),ee=[]),se})},BW=(E,a)=>{const y=DA(E).map((x,b)=>{const z=E[(b+1)%E.length];return{p:x,v:Of(il(z,x))}});return y.forEach((x,b)=>{const z=b>0?b-1:E.length-1,ee=y[z].v,re=Of(es(ee,uh(x.v,PA(ee,x.v,!0)x.p))},NW=(E,a)=>{const x=E.map((z,ee)=>{const re=E[ee===0?E.length-1:ee-1],ae=vv(uh(Of(wp(il(re,z),!1)),a));return[es(re,ae),es(z,ae)]}).flat();return x.map((z,ee)=>{if(ee%2===0)return null;const re=[x[(ee-1)%x.length],x[ee%x.length]],ae=[x[(ee+1)%x.length],x[(ee+2)%x.length]];return MA(re,ae,!0)}).filter(Boolean).map((z,ee)=>[ee===0?"M":"L",z[0],z[1]]).concat([["Z"]])};var RW=function(E,a){var y={};for(var x in E)Object.prototype.hasOwnProperty.call(E,x)&&a.indexOf(x)<0&&(y[x]=E[x]);if(E!=null&&typeof 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y,x=this,b=x.currPage,z=x.pageViews,ee=x.attributes.formatter;z.length<2||((y=this.pageInfoGroup.querySelector(fd.pageInfo.class))===null||y===void 0||y.attr("text",ee(b+1,z.length)),this.adjustControllerLayout())},a.prototype.getFollowingPageDiff=function(y){var x=this.currPage;if(x===y)return[0,0];var b=this.attributes.orientation,z=this.pageShape,ee=z.pageWidth,re=z.pageHeight,ae=y=2,se=y.maybeAppendByClassName(fd.controller,"g");if(Qy(se.node(),ae),!!ae){var fe=ts(this.attributes,"button"),me=ts(this.attributes,"pageNum"),Ae=(0,_t.CR)(Ff(fe),2),Le=Ae[0],ke=Ae[1],ze=Le.size,je=(0,_t._T)(Le,["size"]),Ke=!se.select(fd.prevBtnGroup.class).node(),Ze=se.maybeAppendByClassName(fd.prevBtnGroup,"g").styles(ke);this.prevBtnGroup=Ze.node();var Je=Ze.maybeAppendByClassName(fd.prevBtn,"path"),tt=se.maybeAppendByClassName(fd.nextBtnGroup,"g").styles(ke);this.nextBtnGroup=tt.node();var it=tt.maybeAppendByClassName(fd.nextBtn,"path");[Je,it].forEach(function(dt){dt.styles((0,_t.pi)((0,_t.pi)({},je),{transformOrigin:"center"})),_x(dt.node(),ze,!0)});var st=se.maybeAppendByClassName(fd.pageInfoGroup,"g");this.pageInfoGroup=st.node(),st.maybeAppendByClassName(fd.pageInfo,"text").styles(me),this.updatePageInfo(),se.node().setLocalPosition(ee+b,re/2),Ke&&(this.prevBtnGroup.addEventListener("click",function(){x.prev()}),this.nextBtnGroup.addEventListener("click",function(){x.next()}))}},a.prototype.render=function(y,x){var b=y.x,z=b===void 0?0:b,ee=y.y,re=ee===void 0?0:ee;this.attr("transform","translate(".concat(z,", ").concat(re,")"));var ae=$i(x);this.renderClipPath(ae),this.renderController(ae),this.setVisiblePages([this.defaultPage]),this.goTo(this.defaultPage)},a.prototype.bindEvents=function(){var y=this,x=Mv(function(){return y.render(y.attributes,y)},50);this.playWindow.addEventListener(ys.INSERTED,x),this.playWindow.addEventListener(ys.REMOVED,x)},a}(zl);function 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ze=z-b-Le-ke,je=(0,_t.CR)(this.span,2),Ke=je[0],Ze=je[1];y=(0,_t.CR)([Ke*ze,Ze*ze],2),fe=y[0],me=y[1]}var Je=re+fe+me+Le+ke;return{width:Je,height:ae,markerWidth:re,labelWidth:fe,valueWidth:me}},enumerable:!1,configurable:!0}),Object.defineProperty(a.prototype,"spacing",{get:function(){var y=this.attributes.spacing;if(!y)return[0,0];var x=(0,_t.CR)(Bu(y),2),b=x[0],z=x[1];return this.showValue?[b,z]:[b,0]},enumerable:!1,configurable:!0}),Object.defineProperty(a.prototype,"layout",{get:function(){var y=this.shape,x=y.markerWidth,b=y.labelWidth,z=y.valueWidth,ee=y.width,re=y.height,ae=(0,_t.CR)(this.spacing,2),se=ae[0],fe=ae[1];return{height:re,width:ee,markerWidth:x,labelWidth:b,valueWidth:z,position:[x/2,x+se,x+b+se+fe]}},enumerable:!1,configurable:!0}),Object.defineProperty(a.prototype,"scaleSize",{get:function(){var y=Lj(this.markerGroup.node()),x=this.attributes,b=x.markerSize,z=x.markerStrokeWidth,ee=z===void 0?y.strokeWidth:z,re=x.markerLineWidth,ae=re===void 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x=this.shape,b=x.width,z=x.height,ee=ts(this.attributes,"background");this.background=y.maybeAppendByClassName(Hc.backgroundGroup,"g").style("zIndex",-1),this.background.maybeAppendByClassName(Hc.background,"rect").styles((0,_t.pi)({width:b,height:z},ee))},a.prototype.adjustLayout=function(){var y=this.layout,x=y.labelWidth,b=y.valueWidth,z=y.height,ee=(0,_t.CR)(y.position,3),re=ee[0],ae=ee[1],se=ee[2],fe=z/2;this.markerGroup.styles({transform:"translate(".concat(re,", ").concat(fe,")").concat(this.markerGroup.node().style._transform)}),this.labelGroup.styles({transform:"translate(".concat(ae,", ").concat(fe,")")}),Wx(this.labelGroup.select(Hc.label.class).node(),Math.ceil(x)),this.showValue&&(this.valueGroup.styles({transform:"translate(".concat(se,", ").concat(fe,")")}),Wx(this.valueGroup.select(Hc.value.class).node(),Math.ceil(b)))},a.prototype.render=function(y,x){var b=$i(x),z=y.x,ee=z===void 0?0:z,re=y.y,ae=re===void 0?0:re;b.styles({transform:"translate(".concat(ee,", 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x&&b?[x,b]:x?[x,z.length]:[z.length,b]},enumerable:!1,configurable:!0}),Object.defineProperty(a.prototype,"renderData",{get:function(){var y=this.attributes,x=y.data,b=y.layout,z=ts(this.attributes,"item"),ee=x.map(function(re,ae){var se=re.id,fe=se===void 0?ae:se,me=re.label,Ae=re.value;return{id:"".concat(fe),index:ae,style:(0,_t.pi)({layout:b,labelText:me,valueText:Ae},Object.fromEntries(Object.entries(z).map(function(Le){var ke=(0,_t.CR)(Le,2),ze=ke[0],je=ke[1];return[ze,Gc(je,[re,ae,x])]})))}});return ee},enumerable:!1,configurable:!0}),a.prototype.getGridLayout=function(){var y=this,x=this.attributes,b=x.orientation,z=x.width,ee=x.rowPadding,re=x.colPadding,ae=(0,_t.CR)(this.navigatorShape,1),se=ae[0],fe=(0,_t.CR)(this.grid,2),me=fe[0],Ae=fe[1],Le=Ae*me,ke=0;return this.pageViews.children.map(function(ze,je){var Ke,Ze,Je=Math.floor(je/Le),tt=je%Le,it=y.ifHorizontal(Ae,me),st=[Math.floor(tt/it),tt%it];b==="vertical"&&st.reverse();var dt=(0,_t.CR)(st,2),lt=dt[0],wt=dt[1],Bt=(z-se-(Ae-1)*re)/Ae,Ht=ze.getBBox().height,Qt=(0,_t.CR)([0,0],2),hn=Qt[0],nn=Qt[1];return b==="horizontal"?(Ke=(0,_t.CR)([ke,lt*(Ht+ee)],2),hn=Ke[0],nn=Ke[1],ke=wt===Ae-1?0:ke+Bt+re):(Ze=(0,_t.CR)([wt*(Bt+re),ke],2),hn=Ze[0],nn=Ze[1],ke=lt===me-1?0:ke+Ht+ee),{page:Je,index:je,row:lt,col:wt,pageIndex:tt,width:Bt,height:Ht,x:hn,y:nn}})},a.prototype.getFlexLayout=function(){var y=this.attributes,x=y.width,b=y.height,z=y.rowPadding,ee=y.colPadding,re=(0,_t.CR)(this.navigatorShape,1),ae=re[0],se=(0,_t.CR)(this.grid,2),fe=se[0],me=se[1],Ae=(0,_t.CR)([x-ae,b],2),Le=Ae[0],ke=Ae[1],ze=(0,_t.CR)([0,0,0,0,0,0,0,0],8),je=ze[0],Ke=ze[1],Ze=ze[2],Je=ze[3],tt=ze[4],it=ze[5],st=ze[6],dt=ze[7];return this.pageViews.children.map(function(lt,wt){var Bt,Ht,Qt,hn,nn=lt.getBBox(),wn=nn.width,Jn=nn.height,pn=st===0?0:ee,En=st+pn+wn;if(En<=Le&&iD(tt,function(ar){return ar0?(this.navigatorShape=[55,0],y.call(this)):x},enumerable:!1,configurable:!0}),a.prototype.ifHorizontal=function(y,x){var b=this.attributes.orientation;return zx(b,y,x)},a.prototype.flattenPage=function(y){y.querySelectorAll(Tg.item.class).forEach(function(x){y.appendChild(x)}),y.querySelectorAll(Tg.page.class).forEach(function(x){var b=y.removeChild(x);b.destroy()})},a.prototype.renderItems=function(y){var x=this.attributes,b=x.click,z=x.mouseenter,ee=x.mouseleave;this.flattenPage(y);var re=this.dispatchCustomEvent.bind(this);$i(y).selectAll(Tg.item.class).data(this.renderData,function(ae){return ae.id}).join(function(ae){return ae.append(function(se){var fe=se.style;return new Bj({style:fe})}).attr("className",Tg.item.name).on("click",function(){b==null||b(this),re("itemClick",{item:this})}).on("pointerenter",function(){z==null||z(this),re("itemMouseenter",{item:this})}).on("pointerleave",function(){ee==null||ee(this),re("itemMouseleave",{item:this})})},function(ae){return ae.each(function(se){var fe=se.style;this.update(fe)})},function(ae){return ae.remove()})},a.prototype.relayoutNavigator=function(){var y,x=this.attributes,b=x.layout,z=x.width,ee=((y=this.pageViews.children[0])===null||y===void 0?void 0:y.getBBox().height)||0,re=(0,_t.CR)(this.navigatorShape,2),ae=re[0],se=re[1];this.navigator.update(b==="grid"?{pageWidth:z-ae,pageHeight:ee-se}:{})},a.prototype.adjustLayout=function(){var y=this,x=Object.entries($W(this.itemsLayout,"page")).map(function(z){var ee=(0,_t.CR)(z,2),re=ee[0],ae=ee[1];return{page:re,layouts:ae}}),b=(0,_t.ev)([],(0,_t.CR)(this.navigator.getContainer().children),!1);x.forEach(function(z){var ee=z.layouts,re=y.pageViews.appendChild(new du({className:Tg.page.name}));ee.forEach(function(ae){var se=ae.x,fe=ae.y,me=ae.index,Ae=ae.width,Le=ae.height,ke=b[me];re.appendChild(ke),yv(ke,"__layout__",ae),ke.update({x:se,y:fe,width:Ae,height:Le})})}),this.relayoutNavigator()},a.prototype.renderNavigator=function(y){var x=this.attributes.orientation,b=ts(this.attributes,"nav"),z=bu({orientation:x},b),ee=this;return y.selectAll(Tg.navigator.class).data(["nav"]).join(function(re){return re.append(function(){return new bj({style:z})}).attr("className",Tg.navigator.name).each(function(){ee.navigator=this})},function(re){return re.each(function(){this.update(z)})},function(re){return re.remove()}),this.navigator},a.prototype.getBBox=function(){return this.navigator.getBBox()},a.prototype.render=function(y,x){var b=this.attributes.data;if(!(!b||b.length===0)){var z=this.renderNavigator($i(x));this.renderItems(z.getContainer()),this.adjustLayout()}},a.prototype.dispatchCustomEvent=function(y,x){var b=new ru(y,{detail:x});this.dispatchEvent(b)},a}(zl),zv=zd({markerGroup:"marker-group",marker:"marker",labelGroup:"label-group",label:"label"},"handle"),oD={showLabel:!0,formatter:function(E){return E.toString()},markerSize:25,markerStroke:"#c5c5c5",markerFill:"#fff",markerLineWidth:1,labelFontSize:12,labelFill:"#c5c5c5",labelText:"",orientation:"vertical",spacing:0},R$=function(E){(0,_t.ZT)(a,E);function a(y){return E.call(this,y,oD)||this}return a.prototype.render=function(y,x){var b=$i(x).maybeAppendByClassName(zv.markerGroup,"g");this.renderMarker(b);var z=$i(x).maybeAppendByClassName(zv.labelGroup,"g");this.renderLabel(z)},a.prototype.renderMarker=function(y){var x=this,b=this.attributes,z=b.orientation,ee=b.markerSymbol,re=ee===void 0?zx(z,"horizontalHandle","verticalHandle"):ee;jc(!!re,y,function(ae){var se=ts(x.attributes,"marker"),fe=(0,_t.pi)({symbol:re},se);x.marker=ae.maybeAppendByClassName(zv.marker,function(){return new ul({style:fe})}).update(fe)})},a.prototype.renderLabel=function(y){var x=this,b=this.attributes,z=b.showLabel,ee=b.orientation,re=b.spacing,ae=re===void 0?0:re,se=b.formatter;jc(z,y,function(fe){var me,Ae=ts(x.attributes,"label"),Le=Ae.text,ke=(0,_t._T)(Ae,["text"]),ze=((me=fe.select(zv.marker.class))===null||me===void 0?void 0:me.node().getBBox())||{},je=ze.width,Ke=je===void 0?0:je,Ze=ze.height,Je=Ze===void 0?0:Ze,tt=(0,_t.CR)(zx(ee,[0,Je+ae,"center","top"],[Ke+ae,0,"start","middle"]),4),it=tt[0],st=tt[1],dt=tt[2],lt=tt[3];fe.maybeAppendByClassName(zv.label,"text").styles((0,_t.pi)((0,_t.pi)({},ke),{x:it,y:st,text:se(Le).toString(),textAlign:dt,textBaseline:lt}))})},a}(zl),sD={showTitle:!0,padding:0,orientation:"horizontal",backgroundFill:"transparent",titleText:"",titleSpacing:4,titlePosition:"top-left",titleFill:"#2C3542",titleFontWeight:"bold",titleFontFamily:"sans-serif",titleFontSize:12},Rj=bu({},sD,{}),F$=bu({},sD,x0(oD,"handle"),{color:["#d0e3fa","#acc7f6","#8daaf2","#6d8eea","#4d73cd","#325bb1","#5a3e75","#8c3c79","#e23455","#e7655b"],indicatorBackgroundFill:"#262626",indicatorLabelFill:"white",indicatorLabelFontSize:12,indicatorVisibility:"hidden",labelAlign:"value",labelDirection:"positive",labelSpacing:5,showHandle:!0,showIndicator:!0,showLabel:!0,slidable:!0,titleText:"",type:"continuous"}),k$=.01,_$=.5,Uv=zd({title:"title",titleGroup:"title-group",items:"items",itemsGroup:"items-group",contentGroup:"content-group",ribbonGroup:"ribbon-group",ribbon:"ribbon",handlesGroup:"handles-group",handle:"handle",startHandle:"start-handle",endHandle:"end-handle",labelGroup:"label-group",label:"label",indicator:"indicator"},"legend"),Fj=function(E){(0,_t.ZT)(a,E);function a(y){return E.call(this,y,Rj)||this}return a.prototype.renderTitle=function(y,x,b){var z=this.attributes,ee=z.showTitle,re=z.titleText,ae=ts(this.attributes,"title"),se=(0,_t.CR)(Ff(ae),2),fe=se[0],me=se[1];this.titleGroup=y.maybeAppendByClassName(Uv.titleGroup,"g").styles(me);var Ae=(0,_t.pi)((0,_t.pi)({width:x,height:b},fe),{text:ee?re:""});this.title=this.titleGroup.maybeAppendByClassName(Uv.title,function(){return new qW({style:Ae})}).update(Ae)},a.prototype.renderItems=function(y,x){var b=x.x,z=x.y,ee=x.width,re=x.height,ae=ts(this.attributes,"title",!0),se=(0,_t.CR)(Ff(ae),2),fe=se[0],me=se[1],Ae=(0,_t.pi)((0,_t.pi)({},fe),{width:ee,height:re,x:0,y:0});this.itemsGroup=y.maybeAppendByClassName(Uv.itemsGroup,"g").styles((0,_t.pi)((0,_t.pi)({},me),{transform:"translate(".concat(b,", ").concat(z,")")}));var Le=this;this.itemsGroup.selectAll(Uv.items.class).data(["items"]).join(function(ke){return ke.append(function(){return new Nj({style:Ae})}).attr("className",Uv.items.name).each(function(){Le.items=$i(this)})},function(ke){return ke.update(Ae)},function(ke){return ke.remove()})},a.prototype.adjustLayout=function(){var y=this.attributes.showTitle;if(y){var x=this.title.node().getAvailableSpace(),b=x.x,z=x.y;this.itemsGroup.node().style.transform="translate(".concat(b,", ").concat(z,")")}},Object.defineProperty(a.prototype,"availableSpace",{get:function(){var y=this.attributes,x=y.showTitle,b=y.width,z=y.height;return x?this.title.node().getAvailableSpace():new Ku(0,0,b,z)},enumerable:!1,configurable:!0}),a.prototype.getBBox=function(){var y,x,b=(y=this.title)===null||y===void 0?void 0:y.node(),z=(x=this.items)===null||x===void 0?void 0:x.node();return!b||!z?E.prototype.getBBox.call(this):YW(b,z)},a.prototype.render=function(y,x){var b=this.attributes,z=b.width,ee=b.height,re=b.x,ae=re===void 0?0:re,se=b.y,fe=se===void 0?0:se,me=$i(x);x.style.transform="translate(".concat(ae,", ").concat(fe,")"),this.renderTitle(me,z,ee),this.renderItems(me,this.availableSpace),this.adjustLayout()},a}(zl);function jx(E){const{width:a,height:y,renderer:x}=E,b=kj(E),z=new XE({width:a,height:y,container:b,renderer:x||new Sv});return[b,z]}function kj(E){var a;const{container:y,className:x,graphCanvas:b}=E;if(y)return typeof y=="string"?document.getElementById(y):y;const z=A0(x,!1),{width:ee,height:re,containerStyle:ae}=E,[se,fe]=_j(E);return Object.assign(z.style,Object.assign({position:"absolute",left:se+"px",top:fe+"px",width:ee+"px",height:re+"px"},ae)),(a=b.getContainer())===null||a===void 0||a.appendChild(z),z}function _j(E){const{width:a,height:y,placement:x,graphCanvas:b}=E,[z,ee]=b.getSize(),[re,ae]=Q2(x);return[re*(z-a),ae*(ee-y)]}var zj=function(E,a){var y={};for(var x in E)Object.prototype.hasOwnProperty.call(E,x)&&a.indexOf(x)<0&&(y[x]=E[x]);if(E!=null&&typeof Object.getOwnPropertySymbols=="function")for(var b=0,x=Object.getOwnPropertySymbols(E);b{const{graph:x}=this.context;x.on(hi.AFTER_DRAW,this.createElement)},this.changeState=(x,b)=>{const{graph:z}=this.context,{typePrefix:ee}=this,re=Sc(x,[ee,"id"]),ae=Sc(x,[ee,"style","labelText"]),[se]=re.split("__"),fe=this.fieldMap[se].get(ae)||[];z.setElementState(Object.fromEntries(fe==null?void 0:fe.map(me=>[me,b])))},this.click=x=>{if(this.options.trigger==="hover")return;const b=Sc(x,[this.typePrefix,"id"]);this.selectedItems.includes(b)?(this.selectedItems=this.selectedItems.filter(z=>z!==b),this.changeState(x,[])):(this.selectedItems.push(b),this.changeState(x,"selected"))},this.mouseleave=x=>{this.options.trigger!=="click"&&(this.selectedItems=[],this.changeState(x,[]))},this.mouseenter=x=>{if(this.options.trigger==="click")return;const b=Sc(x,[this.typePrefix,"id"]);this.selectedItems.includes(b)?this.selectedItems=this.selectedItems.filter(z=>z!==b):(this.selectedItems.push(b),this.changeState(x,"active"))},this.setFieldMap=(x,b,z)=>{if(!x)return;const ee=this.fieldMap[z];if(ee)if(!ee.has(x))ee.set(x,[b]);else{const re=ee.get(x);re&&(re.push(b),ee.set(x,re))}},this.getEvents=()=>({mouseenter:this.mouseenter,mouseleave:this.mouseleave,click:this.click}),this.getMarkerData=(x,b)=>{if(!x)return[];const{model:z,element:ee}=this.context,{nodes:re,edges:ae,combos:se}=z.getData(),fe={},me=je=>qi(x)?x(je):x,Ae={node:"circle",edge:"line",combo:"rect"},Le={circle:"circle",ellipse:"circle",image:"bowtie",rect:"square",star:"cross",triangle:"triangle",diamond:"diamond",cubic:"dot",line:"hyphen",polyline:"hyphen",quadratic:"hv","cubic-horizontal":"hyphen","cubic-vertical":"line"},ke=(je,Ke)=>ee==null?void 0:ee.getElementComputedStyle(je,Ke),ze=(je,Ke)=>{je.forEach(Ze=>{const{id:Je}=Ze,tt=Sc(Ze,["data",me(Ze)]),it=(ee==null?void 0:ee.getElementType(Ke,Ze))||"circle",st=ke(Ke,Ze),dt=(Ke==="edge"?st==null?void 0:st.stroke:st==null?void 0:st.fill)||"#1783ff";Je&&tt&&tt.replace(/\s+/g,"")&&(this.setFieldMap(tt,Je,Ke),fe[tt]||(fe[tt]={id:`${Ke}__${Je}`,label:tt,marker:Le[it]||Ae[Ke],elementType:Ke,lineWidth:1,stroke:dt,fill:dt}))})};switch(b){case"node":ze(re,"node");break;case"edge":ze(ae,"edge");break;case"combo":ze(se,"combo");break;default:return[]}return Object.values(fe)},this.createElement=()=>{if(this.draw){this.updateElement();return}const x=this.options,{width:b,height:z,nodeField:ee,edgeField:re,comboField:ae,trigger:se,position:fe,container:me,containerStyle:Ae,className:Le}=x,ke=zj(x,["width","height","nodeField","edgeField","comboField","trigger","position","container","containerStyle","className"]),ze=this.getMarkerData(ee,"node"),je=this.getMarkerData(re,"edge"),Ke=this.getMarkerData(ae,"combo"),Ze=[...ze,...Ke,...je],Je=Object.assign({width:b,height:z,data:Ze,itemMarkerLineWidth:({lineWidth:st})=>st,itemMarker:({marker:st})=>st,itemMarkerStroke:({stroke:st})=>st,itemMarkerFill:({fill:st})=>st,gridCol:ze.length},ke,this.getEvents()),tt=new Fj({className:"legend",style:Je});this.category=tt,this.upsertCanvas().appendChild(tt),this.draw=!0},this.bindEvents()}update(a){super.update(a),this.clear(),this.createElement()}clear(){var a,y;(a=this.canvas)===null||a===void 0||a.destroy(),(y=this.container)===null||y===void 0||y.remove(),this.canvas=void 0,this.container=void 0,this.draw=!1}updateElement(){this.category&&this.category.update({itemMarkerOpacity:({id:a})=>!this.selectedItems.length||this.selectedItems.includes(a)?1:.5,itemLabelOpacity:({id:a})=>!this.selectedItems.length||this.selectedItems.includes(a)?1:.5})}upsertCanvas(){if(this.canvas)return this.canvas;const a=this.context.canvas,[y,x]=a.getSize(),{width:b=y,height:z=x,position:ee,container:re,containerStyle:ae,className:se}=this.options,[fe,me]=jx({width:b,height:z,graphCanvas:a,container:re,containerStyle:ae,placement:ee,className:"legend"});return this.container=fe,se&&fe.classList.add(se),this.canvas=me,this.canvas}destroy(){this.clear(),this.context.graph.off(hi.AFTER_DRAW,this.createElement),super.destroy()}}qy.defaultOptions={position:"bottom",trigger:"hover",orientation:"horizontal",layout:"flex",itemSpacing:4,rowPadding:10,colPadding:10,itemMarkerSize:16,itemLabelFontSize:16,width:240,height:160};class $y extends Lu{constructor(a,y){super(a,Object.assign({},$y.defaultOptions,y)),this.onDraw=x=>{var b;!((b=x==null?void 0:x.data)===null||b===void 0)&&b.render||this.onRender()},this.shapes=new Map,this.landmarkMap=new Map,this.mask=null,this.isMaskDragging=!1,this.onMaskDragStart=x=>{this.mask&&(this.isMaskDragging=!0,this.mask.setPointerCapture(x.pointerId),this.mask.addEventListener("pointermove",this.onMaskDrag),this.mask.addEventListener("pointerup",this.onMaskDragEnd),this.mask.addEventListener("pointercancel",this.onMaskDragEnd))},this.onMaskDrag=x=>{if(!this.mask||!this.isMaskDragging)return;const{size:[b,z]}=this.options,{movementX:ee,movementY:re}=x,{left:ae,top:se,width:fe,height:me}=this.mask.style,[,,Ae,Le]=this.maskBBox;let ke=parseInt(ae)+ee,ze=parseInt(se)+re,je=parseInt(fe),Ke=parseInt(me);ke<0&&(ke=0),ze<0&&(ze=0),ke+je>b&&(ke=xh(b-je,0)),ze+Ke>z&&(ze=xh(z-Ke,0)),je0?(ke=xh(ke-ee,0),je=Ah(je+ee,b)):ee<0&&(je=Ah(je-ee,b))),Ke0?(ze=xh(ze-re,0),Ke=Ah(Ke+re,z)):re<0&&(Ke=Ah(Ke-re,z))),Object.assign(this.mask.style,{left:ke+"px",top:ze+"px",width:je+"px",height:Ke+"px"});const Ze=parseInt(ae)-ke,Je=parseInt(se)-ze;if(Ze===0&&Je===0)return;const tt=this.context.canvas.getCamera().getZoom(),it=this.canvas.getCamera().getZoom(),st=tt/it;this.context.graph.translateBy([Ze*st,Je*st],!1)},this.onMaskDragEnd=x=>{this.mask&&(this.isMaskDragging=!1,this.mask.releasePointerCapture(x.pointerId),this.mask.removeEventListener("pointermove",this.onMaskDrag),this.mask.removeEventListener("pointerup",this.onMaskDragEnd),this.mask.removeEventListener("pointercancel",this.onMaskDragEnd))},this.onTransform=n2(()=>{this.isMaskDragging||(this.updateMask(),this.setCamera())},32,{leading:!0}),this.setOnRender(),this.bindEvents()}update(a){this.unbindEvents(),super.update(a),"delay"in a&&this.setOnRender(),this.bindEvents()}setOnRender(){this.onRender=Mv(()=>{this.renderMinimap(),this.renderMask()},this.options.delay)}bindEvents(){const{graph:a}=this.context;a.on(hi.AFTER_DRAW,this.onDraw),a.on(hi.AFTER_RENDER,this.onRender),a.on(hi.AFTER_ANIMATE,this.onRender),a.on(hi.AFTER_TRANSFORM,this.onTransform)}unbindEvents(){const{graph:a}=this.context;a.off(hi.AFTER_DRAW,this.onDraw),a.off(hi.AFTER_RENDER,this.onRender),a.off(hi.AFTER_ANIMATE,this.onRender),a.off(hi.AFTER_TRANSFORM,this.onTransform)}renderMinimap(){const a=this.getElements(),y=this.initCanvas();this.setShapes(y,a)}getElements(){const{filter:a}=this.options,{model:y,element:x}=this.context,b=y.getData(),z={nodes:b.nodes.filter(se=>x==null?void 0:x.getElement(Nr(se))),edges:b.edges.filter(se=>{const fe=x==null?void 0:x.getElement(Nr(se));return fe&&Xw(fe)}),combos:b.combos.filter(se=>x==null?void 0:x.getElement(Nr(se)))};if(!a)return z;const{nodes:ee,edges:re,combos:ae}=z;return{nodes:ee.filter(se=>a(Nr(se),"node")),edges:re.filter(se=>a(Nr(se),"edge")),combos:ae.filter(se=>a(Nr(se),"combo"))}}setShapes(a,y){const{nodes:x,edges:b,combos:z}=y,{shape:ee}=this.options,{element:re}=this.context;if(ee==="key"){const se=new Set,fe=me=>{const Ae=Nr(me);se.add(Ae);const Le=re.getElement(Ae);if(!Le)return;const ke=Le.getShape("key"),ze=this.shapes.get(Ae)||ke.cloneNode();ze.setPosition(ke.getPosition()),Le.style.zIndex&&(ze.style.zIndex=Le.style.zIndex),ze.id=Le.id,this.shapes.has(Ae)?Object.entries(ke.attributes).forEach(([je,Ke])=>{ze.style[je]!==Ke&&(ze.style[je]=Ke)}):(a.appendChild(ze),this.shapes.set(Ae,ze))};b.forEach(fe),z.forEach(fe),x.forEach(fe),this.shapes.forEach((me,Ae)=>{se.has(Ae)||(a.removeChild(me),this.shapes.delete(Ae))});return}const ae=(se,fe)=>{const Ae=re.getElement(se).getPosition();return fe.setPosition(Ae),fe};a.removeChildren(),b.forEach(se=>a.appendChild(ee(Nr(se),"edge"))),z.forEach(se=>{a.appendChild(ae(Nr(se),ee(Nr(se),"combo")))}),x.forEach(se=>{a.appendChild(ae(Nr(se),ee(Nr(se),"node")))})}initCanvas(){const{renderer:a,size:[y,x]}=this.options;if(this.canvas){const{width:b,height:z}=this.canvas.getConfig();(y!==b||x!==z)&&this.canvas.resize(y,x),a&&this.canvas.setRenderer(a)}else{const{className:b,position:z,container:ee,containerStyle:re}=this.options,[ae,se]=jx({renderer:a,width:y,height:x,placement:z,className:"minimap",container:ee,containerStyle:re,graphCanvas:this.context.canvas});b&&ae.classList.add(b),this.container=ae,this.canvas=se}return this.setCamera(),this.canvas}createLandmark(a,y,x){const b=`${a.join(",")}-${y.join(",")}-${x}`;if(this.landmarkMap.has(b))return this.landmarkMap.get(b);const ee=this.canvas.getCamera().createLandmark(b,{position:a,focalPoint:y,zoom:x});return this.landmarkMap.set(b,ee),ee}setCamera(){var a;const{canvas:y}=this.context,x=(a=this.canvas)===null||a===void 0?void 0:a.getCamera();if(!x)return;const{size:[b,z],padding:ee}=this.options,[re,ae,se,fe]=Td(ee),{min:me,max:Ae,center:Le}=y.getBounds("elements"),ke=Ae[0]-me[0],ze=Ae[1]-me[1],je=b-fe-ae,Ke=z-re-se,Ze=je/ke,Je=Ke/ze,tt=Math.min(Ze,Je),it=this.createLandmark(Le,Le,tt);x.gotoLandmark(it,0)}get maskBBox(){const{canvas:a}=this.context,y=a.getSize(),x=a.getCanvasByViewport([0,0]),b=a.getCanvasByViewport(y),z=this.canvas.canvas2Viewport(Rd(x)),ee=this.canvas.canvas2Viewport(Rd(b)),re=ee.x-z.x,ae=ee.y-z.y;return[z.x,z.y,re,ae]}calculateMaskBBox(){const{size:[a,y]}=this.options;let[x,b,z,ee]=this.maskBBox;return x<0&&(z=Ah(z+x,a),x=0),b<0&&(ee=Ah(ee+b,y),b=0),x+z>a&&(z=xh(a-x,0)),b+ee>y&&(ee=xh(y-b,0)),[Ah(x,a),Ah(b,y),xh(z,0),xh(ee,0)]}renderMask(){const{maskStyle:a}=this.options;this.mask||(this.mask=document.createElement("div"),this.mask.addEventListener("pointerdown",this.onMaskDragStart),this.mask.draggable=!0,this.mask.addEventListener("dragstart",y=>y.preventDefault&&y.preventDefault())),this.container.appendChild(this.mask),Object.assign(this.mask.style,Object.assign(Object.assign({},a),{cursor:"move",position:"absolute",pointerEvents:"auto"})),this.updateMask()}updateMask(){if(!this.mask)return;const[a,y,x,b]=this.calculateMaskBBox();Object.assign(this.mask.style,{top:y+"px",left:a+"px",width:x+"px",height:b+"px"})}destroy(){var a,y,x;this.unbindEvents(),(a=this.canvas)===null||a===void 0||a.destroy(),(y=this.mask)===null||y===void 0||y.remove(),(x=this.container)===null||x===void 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ee=x.availableSpace,re=ee.x,ae=ee.y,se=x.getBBox(),fe=se.x,me=se.y;x.selectionStartPos=x.getRatio(x.prevPos-x.getOrientVal([re,ae])-x.getOrientVal([+fe,+me])),x.selectionWidth=0,document.addEventListener("pointermove",x.onDragging),document.addEventListener("pointerup",x.onDragEnd)}},x.onDragging=function(b){var z=x.attributes,ee=z.slidable,re=z.brushable,ae=z.type;b.stopPropagation();var se=x.getOrientVal(ND(b)),fe=se-x.prevPos;if(fe){var me=x.getRatio(fe);switch(x.target){case"start":ee&&x.setValuesOffset(me);break;case"end":ee&&x.setValuesOffset(0,me);break;case"selection":ee&&x.setValuesOffset(me,me);break;case"track":if(!re)return;x.selectionWidth+=me,ae==="range"?x.innerSetValues([x.selectionStartPos,x.selectionStartPos+x.selectionWidth].sort(),!0):x.innerSetValues([0,x.selectionStartPos+x.selectionWidth],!0);break;default:break}x.prevPos=se}},x.onDragEnd=function(){document.removeEventListener("pointermove",x.onDragging),document.removeEventListener("pointermove",x.onDragging),document.removeEventListener("pointerup",x.onDragEnd),x.target="",x.updateHandlesPosition(!1)},x.onValueChange=function(b){var z=x.attributes,ee=z.onChange,re=z.type,ae=re==="range"?b:b[1],se=re==="range"?x.getValues():x.getValues()[1],fe=new ru("valuechange",{detail:{oldValue:ae,value:se}});x.dispatchEvent(fe),ee==null||ee(se)},x.selectionStartPos=0,x.selectionWidth=0,x.prevPos=0,x.target="",x}return Object.defineProperty(a.prototype,"values",{get:function(){return this.attributes.values},set:function(y){this.attributes.values=this.clampValues(y)},enumerable:!1,configurable:!0}),Object.defineProperty(a.prototype,"sparklineStyle",{get:function(){var y=this.attributes.orientation;if(y!=="horizontal")return null;var x=ts(this.attributes,"sparkline");return(0,_t.pi)((0,_t.pi)({zIndex:0},this.availableSpace),x)},enumerable:!1,configurable:!0}),Object.defineProperty(a.prototype,"shape",{get:function(){var y=this.attributes,x=y.trackLength,b=y.trackSize,z=(0,_t.CR)(this.getOrientVal([[x,b],[b,x]]),2),ee=z[0],re=z[1];return{width:ee,height:re}},enumerable:!1,configurable:!0}),Object.defineProperty(a.prototype,"availableSpace",{get:function(){var y=this.attributes,x=y.x,b=y.y,z=y.padding,ee=(0,_t.CR)(Bu(z),4),re=ee[0],ae=ee[1],se=ee[2],fe=ee[3],me=this.shape,Ae=me.width,Le=me.height;return{x:fe,y:re,width:Ae-(fe+ae),height:Le-(re+se)}},enumerable:!1,configurable:!0}),a.prototype.getValues=function(){return this.values},a.prototype.setValues=function(y,x){y===void 0&&(y=[0,0]),x===void 0&&(x=!1),this.attributes.values=y;var b=x===!1?!1:this.attributes.animate;this.updateSelectionArea(b),this.updateHandlesPosition(b)},a.prototype.updateSelectionArea=function(y){var x=this.calcSelectionArea();this.foregroundGroup.selectAll(ff.selection.class).each(function(b,z){Ud(this,x[z],y)})},a.prototype.updateHandlesPosition=function(y){this.attributes.showHandle&&(this.startHandle&&Ud(this.startHandle,this.getHandleStyle("start"),y),this.endHandle&&Ud(this.endHandle,this.getHandleStyle("end"),y))},a.prototype.innerSetValues=function(y,x){y===void 0&&(y=[0,0]),x===void 0&&(x=!1);var b=this.values,z=this.clampValues(y);this.attributes.values=z,this.setValues(z),x&&this.onValueChange(b)},a.prototype.renderTrack=function(y){var x=this.attributes,b=x.x,z=x.y,ee=ts(this.attributes,"track");this.trackShape=$i(y).maybeAppendByClassName(ff.track,"rect").styles((0,_t.pi)((0,_t.pi)({x:b,y:z},this.shape),ee))},a.prototype.renderBrushArea=function(y){var x=this.attributes,b=x.x,z=x.y,ee=x.brushable;this.brushArea=$i(y).maybeAppendByClassName(ff.brushArea,"rect").styles((0,_t.pi)({x:b,y:z,fill:"transparent",cursor:ee?"crosshair":"default"},this.shape))},a.prototype.renderSparkline=function(y){var x=this,b=this.attributes,z=b.x,ee=b.y,re=b.orientation,ae=$i(y).maybeAppendByClassName(ff.sparklineGroup,"g");jc(re==="horizontal",ae,function(se){var fe=(0,_t.pi)((0,_t.pi)({},x.sparklineStyle),{x:z,y:ee});se.maybeAppendByClassName(ff.sparkline,function(){return new DH({style:fe})}).update(fe)})},a.prototype.renderHandles=function(){var y=this,x,b=this.attributes,z=b.showHandle,ee=b.type,re=ee==="range"?["start","end"]:["end"],ae=z?re:[],se=this;(x=this.foregroundGroup)===null||x===void 0||x.selectAll(ff.handle.class).data(ae.map(function(fe){return{type:fe}}),function(fe){return fe.type}).join(function(fe){return fe.append(function(me){var Ae=me.type;return new TH({style:y.getHandleStyle(Ae)})}).each(function(me){var Ae=me.type;this.attr("class","".concat(ff.handle.name," ").concat(Ae,"-handle"));var Le="".concat(Ae,"Handle");se[Le]=this,this.addEventListener("pointerdown",se.onDragStart(Ae))})},function(fe){return fe.each(function(me){var Ae=me.type;this.update(se.getHandleStyle(Ae))})},function(fe){return fe.each(function(me){var Ae=me.type,Le="".concat(Ae,"Handle");se[Le]=void 0}).remove()})},a.prototype.renderSelection=function(y){var x=this.attributes,b=x.x,z=x.y,ee=x.type,re=x.selectionType;this.foregroundGroup=$i(y).maybeAppendByClassName(ff.foreground,"g");var ae=ts(this.attributes,"selection"),se=function(me){return me.style("visibility",function(Ae){return Ae.show?"visible":"hidden"}).style("cursor",function(Ae){return re==="select"?"grab":re==="invert"?"crosshair":"default"}).styles((0,_t.pi)((0,_t.pi)({},ae),{transform:"translate(".concat(b,", ").concat(z,")")}))},fe=this;this.foregroundGroup.selectAll(ff.selection.class).data(ee==="value"?[]:this.calcSelectionArea().map(function(me,Ae){return{style:(0,_t.pi)({},me),index:Ae,show:re==="select"?Ae===1:Ae!==1}}),function(me){return me.index}).join(function(me){return me.append("rect").attr("className",ff.selection.name).call(se).each(function(Ae,Le){var ke=this;Le===1?(fe.selectionShape=$i(this),this.on("pointerdown",function(ze){ke.attr("cursor","grabbing"),fe.onDragStart("selection")(ze)}),fe.dispatchCustomEvent(this,"pointerenter","selectionMouseenter"),fe.dispatchCustomEvent(this,"pointerleave","selectionMouseleave"),fe.dispatchCustomEvent(this,"click","selectionClick"),this.addEventListener("pointerdown",function(){ke.attr("cursor","grabbing")}),this.addEventListener("pointerup",function(){ke.attr("cursor","pointer")}),this.addEventListener("pointerover",function(){ke.attr("cursor","pointer")})):this.on("pointerdown",fe.onDragStart("track"))})},function(me){return me.call(se)},function(me){return me.remove()}),this.updateSelectionArea(!1),this.renderHandles()},a.prototype.render=function(y,x){this.renderTrack(x),this.renderSparkline(x),this.renderBrushArea(x),this.renderSelection(x)},a.prototype.clampValues=function(y,x){var b;x===void 0&&(x=4);var z=(0,_t.CR)(this.range,2),ee=z[0],re=z[1],ae=(0,_t.CR)(this.getValues().map(function(je){return tS(je,x)}),2),se=ae[0],fe=ae[1],me=Array.isArray(y)?y:[se,y!=null?y:fe],Ae=(0,_t.CR)((me||[se,fe]).map(function(je){return tS(je,x)}),2),Le=Ae[0],ke=Ae[1];if(this.attributes.type==="value")return[0,Dl(ke,ee,re)];Le>ke&&(b=(0,_t.CR)([ke,Le],2),Le=b[0],ke=b[1]);var ze=ke-Le;return ze>re-ee?[ee,re]:Lere?fe===re&&se===Le?[Le,re]:[re-ze,re]:[Le,ke]},a.prototype.calcSelectionArea=function(y){var x=(0,_t.CR)(this.clampValues(y),2),b=x[0],z=x[1],ee=this.availableSpace,re=ee.x,ae=ee.y,se=ee.width,fe=ee.height;return this.getOrientVal([[{y:ae,height:fe,x:re,width:b*se},{y:ae,height:fe,x:b*se+re,width:(z-b)*se},{y:ae,height:fe,x:z*se,width:(1-z)*se}],[{x:re,width:se,y:ae,height:b*fe},{x:re,width:se,y:b*fe+ae,height:(z-b)*fe},{x:re,width:se,y:z*fe,height:(1-z)*fe}]])},a.prototype.calcHandlePosition=function(y){var x=this.attributes.handleIconOffset,b=this.availableSpace,z=b.x,ee=b.y,re=b.width,ae=b.height,se=(0,_t.CR)(this.clampValues(),2),fe=se[0],me=se[1],Ae=y==="start"?-x:x,Le=(y==="start"?fe:me)*this.getOrientVal([re,ae])+Ae;return{x:z+this.getOrientVal([Le,re/2]),y:ee+this.getOrientVal([ae/2,Le])}},a.prototype.inferTextStyle=function(y){var x=this.attributes.orientation;return x==="horizontal"?{}:y==="start"?{transformOrigin:"left center",transform:"rotate(90)",textAlign:"start"}:y==="end"?{transformOrigin:"right center",transform:"rotate(90)",textAlign:"end"}:{}},a.prototype.calcHandleText=function(y){var x,b=this.attributes,z=b.type,ee=b.orientation,re=b.formatter,ae=b.autoFitLabel,se=ts(this.attributes,"handle"),fe=ts(se,"label"),me=se.spacing,Ae=this.getHandleSize(),Le=this.clampValues(),ke=y==="start"?Le[0]:Le[1],ze=re(ke),je=new Fx({style:(0,_t.pi)((0,_t.pi)((0,_t.pi)({},fe),this.inferTextStyle(y)),{text:ze})}),Ke=je.getBBox(),Ze=Ke.width,Je=Ke.height;if(je.destroy(),!ae){if(z==="value")return{text:ze,x:0,y:-Je-me};var tt=me+Ae+(ee==="horizontal"?Ze/2:0);return x={text:ze},x[ee==="horizontal"?"x":"y"]=y==="start"?-tt:tt,x}var it=0,st=0,dt=this.availableSpace,lt=dt.width,wt=dt.height,Bt=this.calcSelectionArea()[1],Ht=Bt.x,Qt=Bt.y,hn=Bt.width,nn=Bt.height,wn=me+Ae;if(ee==="horizontal"){var Jn=wn+Ze/2;if(y==="start"){var pn=Ht-wn-Ze;it=pn>0?-Jn:Jn}else{var En=lt-Ht-hn-wn>Ze;it=En?Jn:-Jn}}else{var Cn=wn,ar=Je+wn;y==="start"?st=Qt-Ae>Je?-ar:Cn:st=wt-(Qt+nn)-Ae>Je?ar:-Cn}return{x:it,y:st,text:ze}},a.prototype.getHandleLabelStyle=function(y){var x=ts(this.attributes,"handleLabel");return(0,_t.pi)((0,_t.pi)((0,_t.pi)({},x),this.calcHandleText(y)),this.inferTextStyle(y))},a.prototype.getHandleIconStyle=function(){var y=this.attributes.handleIconShape,x=ts(this.attributes,"handleIcon"),b=this.getOrientVal(["ew-resize","ns-resize"]),z=this.getHandleSize();return(0,_t.pi)({cursor:b,shape:y,size:z},x)},a.prototype.getHandleStyle=function(y){var x=this.attributes,b=x.x,z=x.y,ee=x.showLabel,re=x.showLabelOnInteraction,ae=x.orientation,se=this.calcHandlePosition(y),fe=se.x,me=se.y,Ae=this.calcHandleText(y),Le=ee;return!ee&&re&&(this.target?Le=!0:Le=!1),(0,_t.pi)((0,_t.pi)((0,_t.pi)({},x0(this.getHandleIconStyle(),"icon")),x0((0,_t.pi)((0,_t.pi)({},this.getHandleLabelStyle(y)),Ae),"label")),{transform:"translate(".concat(fe+b,", ").concat(me+z,")"),orientation:ae,showLabel:Le,type:y,zIndex:3})},a.prototype.getHandleSize=function(){var y=this.attributes,x=y.handleIconSize,b=y.width,z=y.height;return x||Math.floor((this.getOrientVal([+z,+b])+4)/2.4)},a.prototype.getOrientVal=function(y){var x=(0,_t.CR)(y,2),b=x[0],z=x[1],ee=this.attributes.orientation;return ee==="horizontal"?b:z},a.prototype.setValuesOffset=function(y,x,b){x===void 0&&(x=0),b===void 0&&(b=!1);var z=this.attributes.type,ee=(0,_t.CR)(this.getValues(),2),re=ee[0],ae=ee[1],se=z==="range"?y:0,fe=[re+se,ae+x].sort();b?this.setValues(fe):this.innerSetValues(fe,!0)},a.prototype.getRatio=function(y){var x=this.availableSpace,b=x.width,z=x.height;return y/this.getOrientVal([b,z])},a.prototype.dispatchCustomEvent=function(y,x,b){var z=this;y.on(x,function(ee){ee.stopPropagation(),z.dispatchEvent(new ru(b,{detail:ee}))})},a.prototype.bindEvents=function(){this.addEventListener("wheel",this.onScroll);var y=this.brushArea;this.dispatchCustomEvent(y,"click","trackClick"),this.dispatchCustomEvent(y,"pointerenter","trackMouseenter"),this.dispatchCustomEvent(y,"pointerleave","trackMouseleave"),y.on("pointerdown",this.onDragStart("track"))},a.prototype.onScroll=function(y){var x=this.attributes.scrollable;if(x){var b=y.deltaX,z=y.deltaY,ee=z||b,re=this.getRatio(ee);this.setValuesOffset(re,re,!0)}},a.tag="slider",a}(zl),LH={backgroundFill:"#262626",backgroundLineCap:"round",backgroundLineWidth:1,backgroundStroke:"#333",backgroundZIndex:-1,formatter:function(E){return E.toString()},labelFill:"#fff",labelFontSize:12,labelTextBaseline:"middle",padding:[2,4],position:"right",radius:0,zIndex:999},fS=zd({background:"background",labelGroup:"label-group",label:"label"},"indicator"),BH=function(E){(0,_t.ZT)(a,E);function a(y){var x=E.call(this,y,LH)||this;return x.point=[0,0],x.group=x.appendChild(new du({})),x.isMutationObserved=!0,x}return a.prototype.renderBackground=function(){if(this.label){var y=this.attributes,x=y.position,b=y.padding,z=(0,_t.CR)(Bu(b),4),ee=z[0],re=z[1],ae=z[2],se=z[3],fe=this.label.node().getLocalBounds(),me=fe.min,Ae=fe.max,Le=new Ku(me[0]-se,me[1]-ee,Ae[0]+re-me[0]+se,Ae[1]+ae-me[1]+ee),ke=this.getPath(x,Le),ze=ts(this.attributes,"background");this.background=$i(this.group).maybeAppendByClassName(fS.background,"path").styles((0,_t.pi)((0,_t.pi)({},ze),{d:ke})),this.group.appendChild(this.label.node())}},a.prototype.renderLabel=function(){var y=this.attributes,x=y.formatter,b=y.labelText,z=ts(this.attributes,"label"),ee=(0,_t.CR)(Ff(z),2),re=ee[0],ae=ee[1],se=re.text,fe=(0,_t._T)(re,["text"]);if(this.label=$i(this.group).maybeAppendByClassName(fS.labelGroup,"g").styles(ae),!!b){var me=this.label.maybeAppendByClassName(fS.label,function(){return kf(x(b))}).style("text",x(b).toString());me.selectAll("text").styles(fe)}},a.prototype.adjustLayout=function(){var y=(0,_t.CR)(this.point,2),x=y[0],b=y[1],z=this.attributes,ee=z.x,re=z.y;this.group.attr("transform","translate(".concat(ee-x,", ").concat(re-b,")"))},a.prototype.getPath=function(y,x){var b=this.attributes.radius,z=x.x,ee=x.y,re=x.width,ae=x.height,se=[["M",z+b,ee],["L",z+re-b,ee],["A",b,b,0,0,1,z+re,ee+b],["L",z+re,ee+ae-b],["A",b,b,0,0,1,z+re-b,ee+ae],["L",z+b,ee+ae],["A",b,b,0,0,1,z,ee+ae-b],["L",z,ee+b],["A",b,b,0,0,1,z+b,ee],["Z"]],fe={top:4,right:6,bottom:0,left:2},me=fe[y],Ae=this.createCorner([se[me].slice(-2),se[me+1].slice(-2)]);return se.splice.apply(se,(0,_t.ev)([me+1,1],(0,_t.CR)(Ae),!1)),se[0][0]="M",se},a.prototype.createCorner=function(y,x){x===void 0&&(x=10);var b=.8,z=Ij.apply(void 0,(0,_t.ev)([],(0,_t.CR)(y),!1)),ee=(0,_t.CR)(y,2),re=(0,_t.CR)(ee[0],2),ae=re[0],se=re[1],fe=(0,_t.CR)(ee[1],2),me=fe[0],Ae=fe[1],Le=(0,_t.CR)(z?[me-ae,[ae,me]]:[Ae-se,[se,Ae]],2),ke=Le[0],ze=(0,_t.CR)(Le[1],2),je=ze[0],Ke=ze[1],Ze=ke/2,Je=ke/Math.abs(ke),tt=x*Je,it=tt/2,st=tt*Math.sqrt(3)/2*b,dt=(0,_t.CR)([je,je+Ze-it,je+Ze,je+Ze+it,Ke],5),lt=dt[0],wt=dt[1],Bt=dt[2],Ht=dt[3],Qt=dt[4];return z?(this.point=[Bt,se-st],[["L",lt,se],["L",wt,se],["L",Bt,se-st],["L",Ht,se],["L",Qt,se]]):(this.point=[ae+st,Bt],[["L",ae,lt],["L",ae,wt],["L",ae+st,Bt],["L",ae,Ht],["L",ae,Qt]])},a.prototype.applyVisibility=function(){var y=this.attributes.visibility;y==="hidden"?_d(this):_v(this)},a.prototype.bindEvents=function(){this.label.on(ys.BOUNDS_CHANGED,this.renderBackground)},a.prototype.render=function(){this.renderLabel(),this.renderBackground(),this.adjustLayout(),this.applyVisibility()},a}(zl),NH=function(E){(0,_t.ZT)(a,E);function a(y){var x=E.call(this,bu({},a.defaultOptions,y))||this;return x.hoverColor="#f5f5f5",x.selectedColor="#e6f7ff",x.background=x.appendChild(new Iu({})),x.label=x.background.appendChild(new du({})),x}return Object.defineProperty(a.prototype,"padding",{get:function(){return Bu(this.style.padding)},enumerable:!1,configurable:!0}),a.prototype.renderLabel=function(){var y=this.style,x=y.label,b=y.value,z=ts(this.attributes,"label");$i(this.label).maybeAppend(".label",function(){return kf(x)}).attr("className","label").styles(z),this.label.attr("__data__",b)},a.prototype.renderBackground=function(){var y=this.label.getBBox(),x=(0,_t.CR)(this.padding,4),b=x[0],z=x[1],ee=x[2],re=x[3],ae=y.width,se=y.height,fe=ae+re+z,me=se+b+ee,Ae=ts(this.attributes,"background"),Le=this.style,ke=Le.width,ze=ke===void 0?0:ke,je=Le.height,Ke=je===void 0?0:je,Ze=Le.selected;this.background.attr((0,_t.pi)((0,_t.pi)({},Ae),{width:Math.max(fe,ze),height:Math.max(me,Ke),fill:Ze?this.selectedColor:"#fff"})),this.label.attr({transform:"translate(".concat(re,", ").concat((me-se)/2,")")})},a.prototype.render=function(){this.renderLabel(),this.renderBackground()},a.prototype.bindEvents=function(){var y=this;this.addEventListener("pointerenter",function(){y.style.selected||y.background.attr("fill",y.hoverColor)}),this.addEventListener("pointerleave",function(){y.style.selected||y.background.attr("fill",y.style.backgroundFill)});var x=this;this.addEventListener("click",function(){var b=y.style,z=b.label,ee=b.value,re=b.onClick;re==null||re(ee,{label:z,value:ee},x)})},a.defaultOptions={style:{value:"",label:"",cursor:"pointer"}},a}(zl),RH=function(E){(0,_t.ZT)(a,E);function a(y){var x,b,z=E.call(this,bu({},a.defaultOptions,y))||this;z.currentValue=(x=a.defaultOptions.style)===null||x===void 0?void 0:x.defaultValue,z.isPointerInSelect=!1,z.select=z.appendChild(new Iu({className:"select",style:{cursor:"pointer",width:0,height:0}})),z.dropdown=z.appendChild(new Iu({className:"dropdown"}));var ee=z.style.defaultValue;return ee&&(!((b=z.style.options)===null||b===void 0)&&b.some(function(re){return re.value===ee}))&&(z.currentValue=ee),z}return a.prototype.setValue=function(y){this.currentValue=y,this.render()},a.prototype.getValue=function(){return this.currentValue},Object.defineProperty(a.prototype,"dropdownPadding",{get:function(){return Bu(this.style.dropdownPadding)},enumerable:!1,configurable:!0}),a.prototype.renderSelect=function(){var y=this,x,b=this.style,z=b.x,ee=b.y,re=b.width,ae=b.height,se=b.bordered,fe=b.showDropdownIcon,me=ts(this.attributes,"select"),Ae=ts(this.attributes,"placeholder");this.select.attr((0,_t.pi)((0,_t.pi)({x:z,y:ee,width:re,height:ae},me),{fill:"#fff",strokeWidth:se?1:0}));var Le=this.dropdownPadding,ke=10;fe&&$i(this.select).maybeAppend(".dropdown-icon","path").style("d","M-5,-3.5 L0,3.5 L5,-3.5").style("transform","translate(".concat(z+re-ke-Le[1]-Le[3],", ").concat(ee+ae/2,")")).style("lineWidth",1).style("stroke",this.select.style.stroke);var ze=(x=this.style.options)===null||x===void 0?void 0:x.find(function(Je){return Je.value===y.currentValue}),je=(0,_t.pi)({x:z+Le[3]},Ae);$i(this.select).selectAll(".placeholder").data(ze?[]:[1]).join(function(Je){return Je.append("text").attr("className","placeholder").styles(je).style("y",function(){var tt=this.getBBox();return ee+(ae-tt.height)/2})},function(Je){return Je.styles(je)},function(Je){return Je.remove()});var Ke=ts(this.attributes,"optionLabel"),Ze=(0,_t.pi)({x:z+Le[3]},Ke);$i(this.select).selectAll(".value").data(ze?[ze]:[]).join(function(Je){return Je.append(function(tt){return kf(tt.label)}).attr("className","value").styles(Ze).style("y",function(){var tt=this.getBBox();return ee+(ae-tt.height)/2})},function(Je){return Je.styles(Ze)},function(Je){return Je.remove()})},a.prototype.renderDropdown=function(){var y=this,x,b,z=this.style,ee=z.x,re=z.y,ae=z.width,se=z.height,fe=z.options,me=z.onSelect,Ae=z.open,Le=ts(this.attributes,"dropdown"),ke=ts(this.attributes,"option"),ze=this.dropdownPadding;$i(this.dropdown).maybeAppend(".dropdown-container","g").attr("className","dropdown-container").selectAll(".dropdown-item").data(fe,function(Ze){return Ze.value}).join(function(Ze){return Ze.append(function(Je){return new NH({className:"dropdown-item",style:(0,_t.pi)((0,_t.pi)((0,_t.pi)({},Je),ke),{width:ae-ze[1]-ze[3],selected:Je.value===y.currentValue,onClick:function(tt,it,st){y.setValue(tt),me==null||me(tt,it,st),y.dispatchEvent(new ru("change",{detail:{value:tt,option:it,item:st}})),_d(y.dropdown)}})})}).each(function(Je,tt){var it,st=(it=this.parentNode)===null||it===void 0?void 0:it.children,dt=st.reduce(function(lt,wt,Bt){return Bt{document.addEventListener(b,this.onFullscreenChange,!1)})}unbindEvents(){this.shortcut.unbindAll(),["webkitfullscreenchange","mozfullscreenchange","fullscreenchange","MSFullscreenChange"].forEach(y=>{document.removeEventListener(y,this.onFullscreenChange,!1)})}setGraphSize(a=!0){var y,x;let b,z;a?(b=((y=globalThis.screen)===null||y===void 0?void 0:y.width)||0,z=((x=globalThis.screen)===null||x===void 0?void 0:x.height)||0,this.graphSize=this.context.graph.getSize()):[b,z]=this.graphSize,this.context.graph.setSize(b,z),this.context.graph.render()}request(){document.fullscreenElement||!qU()||this.$el.requestFullscreen().catch(a=>{Ac.warn(`Error attempting to enable full-screen: ${a.message} (${a.name})`)})}exit(){document.fullscreenElement&&document.exitFullscreen()}update(a){this.unbindEvents(),super.update(a),this.bindEvents()}destroy(){this.exit(),this.style.remove(),super.destroy()}}Uy.defaultOptions={trigger:{},autoFit:!0};function qU(){return document.fullscreenEnabled||Reflect.get(document,"webkitFullscreenEnabled")||Reflect.get(document,"mozFullscreenEnabled")||Reflect.get(document,"msFullscreenEnabled")}class Wy extends Lu{constructor(a,y){super(a,Object.assign({},Wy.defaultOptions,y)),this.$element=x0("grid-line",!0),this.offset=[0,0],this.currentScale=1,this.followZoom=b=>{const{data:{scale:z,origin:ee}}=b;if(!z)return;const re=this.currentScale;this.currentScale=z;const ae=z/re,se=Bd(ee||this.context.graph.getCanvasCenter(),1-ae),fe=this.baseSize*z,me=Bd(this.offset,ae),Ae=wA(me,fe),Le=es(Ae,se);this.$element.style.backgroundSize=`${fe}px ${fe}px`,this.$element.style.backgroundPosition=`${Le[0]}px ${Le[1]}px`,this.offset=wA(Le,fe)},this.followTranslate=b=>{if(!this.options.follow)return;const{data:{translate:z}}=b;z&&this.updateOffset(z)},this.onTransform=b=>{const z=this.parseFollow(this.options.follow);z.zoom&&this.followZoom(b),z.translate&&this.followTranslate(b)},this.context.canvas.getContainer().prepend(this.$element),this.baseSize=this.options.size,this.updateStyle(),this.bindEvents()}update(a){super.update(a),a.size!==void 0&&(this.baseSize=a.size),this.updateStyle()}bindEvents(){const{graph:a}=this.context;a.on(gi.AFTER_TRANSFORM,this.onTransform)}updateStyle(){const{stroke:a,lineWidth:y,border:x,borderLineWidth:b,borderStroke:z,borderStyle:ee}=this.options,re=this.baseSize*this.currentScale;Object.assign(this.$element.style,{border:x?`${b}px ${ee} ${z}`:"none",backgroundImage:`linear-gradient(${a} ${y}px, transparent ${y}px), linear-gradient(90deg, ${a} ${y}px, transparent ${y}px)`,backgroundSize:`${re}px ${re}px`,backgroundRepeat:"repeat"})}updateOffset(a){const y=this.baseSize*this.currentScale;this.offset=wA(es(this.offset,a),y),this.$element.style.backgroundPosition=`${this.offset[0]}px ${this.offset[1]}px`}parseFollow(a){var y,x;return V0(a)?{translate:a,zoom:a}:{translate:(y=a==null?void 0:a.translate)!==null&&y!==void 0?y:!1,zoom:(x=a==null?void 0:a.zoom)!==null&&x!==void 0?x:!1}}destroy(){this.context.graph.off(gi.AFTER_TRANSFORM,this.onTransform),this.$element.remove(),super.destroy()}}Wy.defaultOptions={border:!0,borderLineWidth:1,borderStroke:"#eee",borderStyle:"solid",lineWidth:1,size:20,stroke:"#eee"};function Lx(E){const a={Added:new Map,Updated:new Map,Removed:new Map};return E.forEach(y=>{const{type:x,value:b}=y,z=Nr(b);if(x==="NodeAdded"||x==="EdgeAdded"||x==="ComboAdded")a.Added.set(z,y);else if(x==="NodeUpdated"||x==="EdgeUpdated"||x==="ComboUpdated")if(a.Added.has(z))a.Added.set(z,{type:x.replace("Updated","Added"),value:b});else if(a.Updated.has(z)){const{original:ee}=a.Updated.get(z);a.Updated.set(z,{type:x,value:b,original:ee})}else a.Removed.has(z)||a.Updated.set(z,y);else(x==="NodeRemoved"||x==="EdgeRemoved"||x==="ComboRemoved")&&(a.Added.has(z)?a.Added.delete(z):(a.Updated.has(z)&&a.Updated.delete(z),a.Removed.set(z,y)))}),[...Array.from(a.Added.values()),...Array.from(a.Updated.values()),...Array.from(a.Removed.values())]}function LM(E){const{NodeAdded:a=[],NodeUpdated:y=[],NodeRemoved:x=[],EdgeAdded:b=[],EdgeUpdated:z=[],EdgeRemoved:ee=[],ComboAdded:re=[],ComboUpdated:ae=[],ComboRemoved:se=[]}=lp(E,fe=>fe.type);return{add:{nodes:a,edges:b,combos:re},update:{nodes:y,edges:z,combos:ae},remove:{nodes:x,edges:ee,combos:se}}}function BM(E,a){for(const y in E)Vl(E[y])&&!Array.isArray(E[y])&&E[y]!==null?(a[y]||(a[y]={}),BM(E[y],a[y])):a[y]===void 0&&(a[y]=cv(y))}function $U(E,a=!1,y){const x={animation:a,current:{add:{},update:{},remove:{}},original:{add:{},update:{},remove:{}}},{add:b,update:z,remove:ee}=LM(Lx(E));return["nodes","edges","combos"].forEach(re=>{z[re]&&z[re].forEach(ae=>{var se,fe;const me=Object.assign({},ae.value);let Ae=Object.assign({},ae.original);if(y){const Le=y.graph.getElementType(Nr(ae.original)),ke=Le==="edge"?"stroke":"fill",We=y.element.getElementComputedStyle(Le,ae.original);Ae=Object.assign(Object.assign({},ae.original),{style:Object.assign({[ke]:We[ke]},ae.original.style)})}BM(me,Ae),(se=x.current.update)[re]||(se[re]=[]),x.current.update[re].push(me),(fe=x.original.update)[re]||(fe[re]=[]),x.original.update[re].push(Ae)}),b[re]&&b[re].forEach(ae=>{var se,fe;const me=Object.assign({},ae.value);(se=x.current.add)[re]||(se[re]=[]),x.current.add[re].push(me),(fe=x.original.remove)[re]||(fe[re]=[]),x.original.remove[re].push(me)}),ee[re]&&ee[re].forEach(ae=>{var se,fe;const me=Object.assign({},ae.value);(se=x.current.remove)[re]||(se[re]=[]),x.current.remove[re].push(me),(fe=x.original.add)[re]||(fe[re]=[]),x.original.add[re].push(me)})}),x}class jy extends Lu{constructor(a,y){super(a,Object.assign({},jy.defaultOptions,y)),this.batchChanges=null,this.batchAnimation=!1,this.undoStack=[],this.redoStack=[],this.freezed=!1,this.executeCommand=(b,z=!0)=>{var ee,re,ae;this.freezed=!0,(re=(ee=this.options).executeCommand)===null||re===void 0||re.call(ee,b);const se=z?b.original:b.current;this.context.graph.addData(se.add),this.context.graph.updateData(se.update),this.context.graph.removeData(j2(se.remove,!1)),(ae=this.context.element)===null||ae===void 0||ae.draw({silence:!0,animation:b.animation}),this.freezed=!1},this.addCommand=b=>{var z;if(!this.freezed){if(b.type===gi.AFTER_DRAW){const{dataChanges:ee=[],animation:re=!0}=b.data;if(!((z=this.context.batch)===null||z===void 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y=this,x=y.prevBtnGroup,b=y.nextBtnGroup,z=y.pageInfoGroup,ee=this.attributes,re=ee.orientation,ae=ee.controllerPadding,se=z.getBBox(),fe=se.width,me=se.height,Ae=(0,_t.CR)(re==="horizontal"?[-180,0]:[-90,90],2),Le=Ae[0],ke=Ae[1];x.setLocalEulerAngles(Le),b.setLocalEulerAngles(ke);var We=x.getBBox(),je=We.width,Ke=We.height,Ze=b.getBBox(),Je=Ze.width,tt=Ze.height,at=Math.max(je,fe,Je),st=re==="horizontal"?{offset:[[0,0],[je/2+ae,0],[je+fe+ae*2,0]],textAlign:"start"}:{offset:[[at/2,-Ke-ae],[at/2,0],[at/2,tt+ae]],textAlign:"center"},dt=(0,_t.CR)(st.offset,3),ut=(0,_t.CR)(dt[0],2),wt=ut[0],Bt=ut[1],Ht=(0,_t.CR)(dt[1],2),Qt=Ht[0],hn=Ht[1],on=(0,_t.CR)(dt[2],2),Pn=on[0],Jn=on[1],pn=st.textAlign,yn=z.querySelector("text");yn&&(yn.style.textAlign=pn),x.setLocalPosition(wt,Bt),z.setLocalPosition(Qt,hn),b.setLocalPosition(Pn,Jn)},a.prototype.updatePageInfo=function(){var y,x=this,b=x.currPage,z=x.pageViews,ee=x.attributes.formatter;z.length<2||((y=this.pageInfoGroup.querySelector(fd.pageInfo.class))===null||y===void 0||y.attr("text",ee(b+1,z.length)),this.adjustControllerLayout())},a.prototype.getFollowingPageDiff=function(y){var x=this.currPage;if(x===y)return[0,0];var b=this.attributes.orientation,z=this.pageShape,ee=z.pageWidth,re=z.pageHeight,ae=y=2,se=y.maybeAppendByClassName(fd.controller,"g");if(Zy(se.node(),ae),!!ae){var fe=ts(this.attributes,"button"),me=ts(this.attributes,"pageNum"),Ae=(0,_t.CR)(Ff(fe),2),Le=Ae[0],ke=Ae[1],We=Le.size,je=(0,_t._T)(Le,["size"]),Ke=!se.select(fd.prevBtnGroup.class).node(),Ze=se.maybeAppendByClassName(fd.prevBtnGroup,"g").styles(ke);this.prevBtnGroup=Ze.node();var Je=Ze.maybeAppendByClassName(fd.prevBtn,"path"),tt=se.maybeAppendByClassName(fd.nextBtnGroup,"g").styles(ke);this.nextBtnGroup=tt.node();var at=tt.maybeAppendByClassName(fd.nextBtn,"path");[Je,at].forEach(function(dt){dt.styles((0,_t.pi)((0,_t.pi)({},je),{transformOrigin:"center"})),_x(dt.node(),We,!0)});var st=se.maybeAppendByClassName(fd.pageInfoGroup,"g");this.pageInfoGroup=st.node(),st.maybeAppendByClassName(fd.pageInfo,"text").styles(me),this.updatePageInfo(),se.node().setLocalPosition(ee+b,re/2),Ke&&(this.prevBtnGroup.addEventListener("click",function(){x.prev()}),this.nextBtnGroup.addEventListener("click",function(){x.next()}))}},a.prototype.render=function(y,x){var b=y.x,z=b===void 0?0:b,ee=y.y,re=ee===void 0?0:ee;this.attr("transform","translate(".concat(z,", ").concat(re,")"));var ae=$i(x);this.renderClipPath(ae),this.renderController(ae),this.setVisiblePages([this.defaultPage]),this.goTo(this.defaultPage)},a.prototype.bindEvents=function(){var y=this,x=Mv(function(){return y.render(y.attributes,y)},50);this.playWindow.addEventListener(ys.INSERTED,x),this.playWindow.addEventListener(ys.REMOVED,x)},a}(zl);function 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E.nodeName==="text"?E:E.nodeName==="g"&&E.children.length===1&&E.children[0].nodeName==="text"?E.children[0]:null}function iD(E,a){var y=aD(E);y&&y.attr(a)}function Wx(E,a,y){y===void 0&&(y="..."),iD(E,{wordWrap:!0,wordWrapWidth:a,maxLines:1,textOverflow:y})}var Hc=zd({layout:"flex",markerGroup:"marker-group",marker:"marker",labelGroup:"label-group",label:"label",valueGroup:"value-group",value:"value",backgroundGroup:"background-group",background:"background"},"legend-category-item");function Ij(E){var a=E.querySelector(Hc.marker.class);return a?a.style:{}}var Oj=function(E){(0,_t.ZT)(a,E);function a(y){return E.call(this,y,{span:[1,1],marker:function(){return new wf({style:{r:6}})},markerSize:10,labelFill:"#646464",valueFill:"#646464",labelFontSize:12,valueFontSize:12,labelTextBaseline:"middle",valueTextBaseline:"middle"})||this}return Object.defineProperty(a.prototype,"showValue",{get:function(){var y=this.attributes.valueText;return y?typeof y=="string"||typeof 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We=z-b-Le-ke,je=(0,_t.CR)(this.span,2),Ke=je[0],Ze=je[1];y=(0,_t.CR)([Ke*We,Ze*We],2),fe=y[0],me=y[1]}var Je=re+fe+me+Le+ke;return{width:Je,height:ae,markerWidth:re,labelWidth:fe,valueWidth:me}},enumerable:!1,configurable:!0}),Object.defineProperty(a.prototype,"spacing",{get:function(){var y=this.attributes.spacing;if(!y)return[0,0];var x=(0,_t.CR)(Bu(y),2),b=x[0],z=x[1];return this.showValue?[b,z]:[b,0]},enumerable:!1,configurable:!0}),Object.defineProperty(a.prototype,"layout",{get:function(){var y=this.shape,x=y.markerWidth,b=y.labelWidth,z=y.valueWidth,ee=y.width,re=y.height,ae=(0,_t.CR)(this.spacing,2),se=ae[0],fe=ae[1];return{height:re,width:ee,markerWidth:x,labelWidth:b,valueWidth:z,position:[x/2,x+se,x+b+se+fe]}},enumerable:!1,configurable:!0}),Object.defineProperty(a.prototype,"scaleSize",{get:function(){var y=Ij(this.markerGroup.node()),x=this.attributes,b=x.markerSize,z=x.markerStrokeWidth,ee=z===void 0?y.strokeWidth:z,re=x.markerLineWidth,ae=re===void 0?y.lineWidth:re,se=x.markerStroke,fe=se===void 0?y.stroke:se,me=+(ee||ae||(fe?1:0))*Math.sqrt(2),Ae=this.markerGroup.node().getBBox(),Le=Ae.width,ke=Ae.height;return(1-me/Math.max(Le,ke))*b},enumerable:!1,configurable:!0}),a.prototype.renderMarker=function(y){var x=this,b=this.attributes.marker,z=ts(this.attributes,"marker");this.markerGroup=y.maybeAppendByClassName(Hc.markerGroup,"g").style("zIndex",0),jc(!!b,this.markerGroup,function(){var ee,re=x.markerGroup.node(),ae=(ee=re.childNodes)===null||ee===void 0?void 0:ee[0],se=typeof b=="string"?new ul({style:{symbol:b},className:Hc.marker.name}):b();ae?se.nodeName===ae.nodeName?ae instanceof ul?ae.update((0,_t.pi)((0,_t.pi)({},z),{symbol:b})):(Mj(ae,se),$i(ae).styles(z)):(ae.remove(),$i(se).attr("className",Hc.marker.name).styles(z),re.appendChild(se)):(se instanceof ul||$i(se).attr("className",Hc.marker.name).styles(z),re.appendChild(se)),x.markerGroup.node().scale(1/x.markerGroup.node().getScale()[0]);var fe=_x(x.markerGroup.node(),x.scaleSize,!0);x.markerGroup.node().style._transform="scale(".concat(fe,")")})},a.prototype.renderLabel=function(y){var x=ts(this.attributes,"label"),b=x.text,z=(0,_t._T)(x,["text"]);this.labelGroup=y.maybeAppendByClassName(Hc.labelGroup,"g").style("zIndex",0),this.labelGroup.maybeAppendByClassName(Hc.label,function(){return kf(b)}).styles(z)},a.prototype.renderValue=function(y){var x=this,b=ts(this.attributes,"value"),z=b.text,ee=(0,_t._T)(b,["text"]);this.valueGroup=y.maybeAppendByClassName(Hc.valueGroup,"g").style("zIndex",0),jc(this.showValue,this.valueGroup,function(){x.valueGroup.maybeAppendByClassName(Hc.value,function(){return kf(z)}).styles(ee)})},a.prototype.renderBackground=function(y){var x=this.shape,b=x.width,z=x.height,ee=ts(this.attributes,"background");this.background=y.maybeAppendByClassName(Hc.backgroundGroup,"g").style("zIndex",-1),this.background.maybeAppendByClassName(Hc.background,"rect").styles((0,_t.pi)({width:b,height:z},ee))},a.prototype.adjustLayout=function(){var y=this.layout,x=y.labelWidth,b=y.valueWidth,z=y.height,ee=(0,_t.CR)(y.position,3),re=ee[0],ae=ee[1],se=ee[2],fe=z/2;this.markerGroup.styles({transform:"translate(".concat(re,", ").concat(fe,")").concat(this.markerGroup.node().style._transform)}),this.labelGroup.styles({transform:"translate(".concat(ae,", ").concat(fe,")")}),Wx(this.labelGroup.select(Hc.label.class).node(),Math.ceil(x)),this.showValue&&(this.valueGroup.styles({transform:"translate(".concat(se,", ").concat(fe,")")}),Wx(this.valueGroup.select(Hc.value.class).node(),Math.ceil(b)))},a.prototype.render=function(y,x){var b=$i(x),z=y.x,ee=z===void 0?0:z,re=y.y,ae=re===void 0?0:re;b.styles({transform:"translate(".concat(ee,", 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x&&b?[x,b]:x?[x,z.length]:[z.length,b]},enumerable:!1,configurable:!0}),Object.defineProperty(a.prototype,"renderData",{get:function(){var y=this.attributes,x=y.data,b=y.layout,z=ts(this.attributes,"item"),ee=x.map(function(re,ae){var se=re.id,fe=se===void 0?ae:se,me=re.label,Ae=re.value;return{id:"".concat(fe),index:ae,style:(0,_t.pi)({layout:b,labelText:me,valueText:Ae},Object.fromEntries(Object.entries(z).map(function(Le){var ke=(0,_t.CR)(Le,2),We=ke[0],je=ke[1];return[We,Gc(je,[re,ae,x])]})))}});return ee},enumerable:!1,configurable:!0}),a.prototype.getGridLayout=function(){var y=this,x=this.attributes,b=x.orientation,z=x.width,ee=x.rowPadding,re=x.colPadding,ae=(0,_t.CR)(this.navigatorShape,1),se=ae[0],fe=(0,_t.CR)(this.grid,2),me=fe[0],Ae=fe[1],Le=Ae*me,ke=0;return this.pageViews.children.map(function(We,je){var Ke,Ze,Je=Math.floor(je/Le),tt=je%Le,at=y.ifHorizontal(Ae,me),st=[Math.floor(tt/at),tt%at];b==="vertical"&&st.reverse();var dt=(0,_t.CR)(st,2),ut=dt[0],wt=dt[1],Bt=(z-se-(Ae-1)*re)/Ae,Ht=We.getBBox().height,Qt=(0,_t.CR)([0,0],2),hn=Qt[0],on=Qt[1];return b==="horizontal"?(Ke=(0,_t.CR)([ke,ut*(Ht+ee)],2),hn=Ke[0],on=Ke[1],ke=wt===Ae-1?0:ke+Bt+re):(Ze=(0,_t.CR)([wt*(Bt+re),ke],2),hn=Ze[0],on=Ze[1],ke=ut===me-1?0:ke+Ht+ee),{page:Je,index:je,row:ut,col:wt,pageIndex:tt,width:Bt,height:Ht,x:hn,y:on}})},a.prototype.getFlexLayout=function(){var y=this.attributes,x=y.width,b=y.height,z=y.rowPadding,ee=y.colPadding,re=(0,_t.CR)(this.navigatorShape,1),ae=re[0],se=(0,_t.CR)(this.grid,2),fe=se[0],me=se[1],Ae=(0,_t.CR)([x-ae,b],2),Le=Ae[0],ke=Ae[1],We=(0,_t.CR)([0,0,0,0,0,0,0,0],8),je=We[0],Ke=We[1],Ze=We[2],Je=We[3],tt=We[4],at=We[5],st=We[6],dt=We[7];return this.pageViews.children.map(function(ut,wt){var Bt,Ht,Qt,hn,on=ut.getBBox(),Pn=on.width,Jn=on.height,pn=st===0?0:ee,yn=st+pn+Pn;if(yn<=Le&&oD(tt,function(ar){return ar0?(this.navigatorShape=[55,0],y.call(this)):x},enumerable:!1,configurable:!0}),a.prototype.ifHorizontal=function(y,x){var b=this.attributes.orientation;return zx(b,y,x)},a.prototype.flattenPage=function(y){y.querySelectorAll(Og.item.class).forEach(function(x){y.appendChild(x)}),y.querySelectorAll(Og.page.class).forEach(function(x){var b=y.removeChild(x);b.destroy()})},a.prototype.renderItems=function(y){var x=this.attributes,b=x.click,z=x.mouseenter,ee=x.mouseleave;this.flattenPage(y);var re=this.dispatchCustomEvent.bind(this);$i(y).selectAll(Og.item.class).data(this.renderData,function(ae){return ae.id}).join(function(ae){return ae.append(function(se){var fe=se.style;return new Oj({style:fe})}).attr("className",Og.item.name).on("click",function(){b==null||b(this),re("itemClick",{item:this})}).on("pointerenter",function(){z==null||z(this),re("itemMouseenter",{item:this})}).on("pointerleave",function(){ee==null||ee(this),re("itemMouseleave",{item:this})})},function(ae){return ae.each(function(se){var fe=se.style;this.update(fe)})},function(ae){return ae.remove()})},a.prototype.relayoutNavigator=function(){var y,x=this.attributes,b=x.layout,z=x.width,ee=((y=this.pageViews.children[0])===null||y===void 0?void 0:y.getBBox().height)||0,re=(0,_t.CR)(this.navigatorShape,2),ae=re[0],se=re[1];this.navigator.update(b==="grid"?{pageWidth:z-ae,pageHeight:ee-se}:{})},a.prototype.adjustLayout=function(){var y=this,x=Object.entries(XW(this.itemsLayout,"page")).map(function(z){var ee=(0,_t.CR)(z,2),re=ee[0],ae=ee[1];return{page:re,layouts:ae}}),b=(0,_t.ev)([],(0,_t.CR)(this.navigator.getContainer().children),!1);x.forEach(function(z){var ee=z.layouts,re=y.pageViews.appendChild(new du({className:Og.page.name}));ee.forEach(function(ae){var se=ae.x,fe=ae.y,me=ae.index,Ae=ae.width,Le=ae.height,ke=b[me];re.appendChild(ke),yv(ke,"__layout__",ae),ke.update({x:se,y:fe,width:Ae,height:Le})})}),this.relayoutNavigator()},a.prototype.renderNavigator=function(y){var x=this.attributes.orientation,b=ts(this.attributes,"nav"),z=bu({orientation:x},b),ee=this;return y.selectAll(Og.navigator.class).data(["nav"]).join(function(re){return re.append(function(){return new Aj({style:z})}).attr("className",Og.navigator.name).each(function(){ee.navigator=this})},function(re){return re.each(function(){this.update(z)})},function(re){return re.remove()}),this.navigator},a.prototype.getBBox=function(){return this.navigator.getBBox()},a.prototype.render=function(y,x){var b=this.attributes.data;if(!(!b||b.length===0)){var z=this.renderNavigator($i(x));this.renderItems(z.getContainer()),this.adjustLayout()}},a.prototype.dispatchCustomEvent=function(y,x){var b=new nu(y,{detail:x});this.dispatchEvent(b)},a}(zl),zv=zd({markerGroup:"marker-group",marker:"marker",labelGroup:"label-group",label:"label"},"handle"),sD={showLabel:!0,formatter:function(E){return E.toString()},markerSize:25,markerStroke:"#c5c5c5",markerFill:"#fff",markerLineWidth:1,labelFontSize:12,labelFill:"#c5c5c5",labelText:"",orientation:"vertical",spacing:0},L$=function(E){(0,_t.ZT)(a,E);function a(y){return E.call(this,y,sD)||this}return a.prototype.render=function(y,x){var b=$i(x).maybeAppendByClassName(zv.markerGroup,"g");this.renderMarker(b);var z=$i(x).maybeAppendByClassName(zv.labelGroup,"g");this.renderLabel(z)},a.prototype.renderMarker=function(y){var x=this,b=this.attributes,z=b.orientation,ee=b.markerSymbol,re=ee===void 0?zx(z,"horizontalHandle","verticalHandle"):ee;jc(!!re,y,function(ae){var se=ts(x.attributes,"marker"),fe=(0,_t.pi)({symbol:re},se);x.marker=ae.maybeAppendByClassName(zv.marker,function(){return new ul({style:fe})}).update(fe)})},a.prototype.renderLabel=function(y){var x=this,b=this.attributes,z=b.showLabel,ee=b.orientation,re=b.spacing,ae=re===void 0?0:re,se=b.formatter;jc(z,y,function(fe){var me,Ae=ts(x.attributes,"label"),Le=Ae.text,ke=(0,_t._T)(Ae,["text"]),We=((me=fe.select(zv.marker.class))===null||me===void 0?void 0:me.node().getBBox())||{},je=We.width,Ke=je===void 0?0:je,Ze=We.height,Je=Ze===void 0?0:Ze,tt=(0,_t.CR)(zx(ee,[0,Je+ae,"center","top"],[Ke+ae,0,"start","middle"]),4),at=tt[0],st=tt[1],dt=tt[2],ut=tt[3];fe.maybeAppendByClassName(zv.label,"text").styles((0,_t.pi)((0,_t.pi)({},ke),{x:at,y:st,text:se(Le).toString(),textAlign:dt,textBaseline:ut}))})},a}(zl),lD={showTitle:!0,padding:0,orientation:"horizontal",backgroundFill:"transparent",titleText:"",titleSpacing:4,titlePosition:"top-left",titleFill:"#2C3542",titleFontWeight:"bold",titleFontFamily:"sans-serif",titleFontSize:12},Lj=bu({},lD,{}),B$=bu({},lD,S0(sD,"handle"),{color:["#d0e3fa","#acc7f6","#8daaf2","#6d8eea","#4d73cd","#325bb1","#5a3e75","#8c3c79","#e23455","#e7655b"],indicatorBackgroundFill:"#262626",indicatorLabelFill:"white",indicatorLabelFontSize:12,indicatorVisibility:"hidden",labelAlign:"value",labelDirection:"positive",labelSpacing:5,showHandle:!0,showIndicator:!0,showLabel:!0,slidable:!0,titleText:"",type:"continuous"}),N$=.01,R$=.5,Uv=zd({title:"title",titleGroup:"title-group",items:"items",itemsGroup:"items-group",contentGroup:"content-group",ribbonGroup:"ribbon-group",ribbon:"ribbon",handlesGroup:"handles-group",handle:"handle",startHandle:"start-handle",endHandle:"end-handle",labelGroup:"label-group",label:"label",indicator:"indicator"},"legend"),Bj=function(E){(0,_t.ZT)(a,E);function a(y){return E.call(this,y,Lj)||this}return a.prototype.renderTitle=function(y,x,b){var z=this.attributes,ee=z.showTitle,re=z.titleText,ae=ts(this.attributes,"title"),se=(0,_t.CR)(Ff(ae),2),fe=se[0],me=se[1];this.titleGroup=y.maybeAppendByClassName(Uv.titleGroup,"g").styles(me);var Ae=(0,_t.pi)((0,_t.pi)({width:x,height:b},fe),{text:ee?re:""});this.title=this.titleGroup.maybeAppendByClassName(Uv.title,function(){return new YW({style:Ae})}).update(Ae)},a.prototype.renderItems=function(y,x){var b=x.x,z=x.y,ee=x.width,re=x.height,ae=ts(this.attributes,"title",!0),se=(0,_t.CR)(Ff(ae),2),fe=se[0],me=se[1],Ae=(0,_t.pi)((0,_t.pi)({},fe),{width:ee,height:re,x:0,y:0});this.itemsGroup=y.maybeAppendByClassName(Uv.itemsGroup,"g").styles((0,_t.pi)((0,_t.pi)({},me),{transform:"translate(".concat(b,", ").concat(z,")")}));var Le=this;this.itemsGroup.selectAll(Uv.items.class).data(["items"]).join(function(ke){return ke.append(function(){return new Tj({style:Ae})}).attr("className",Uv.items.name).each(function(){Le.items=$i(this)})},function(ke){return ke.update(Ae)},function(ke){return ke.remove()})},a.prototype.adjustLayout=function(){var y=this.attributes.showTitle;if(y){var x=this.title.node().getAvailableSpace(),b=x.x,z=x.y;this.itemsGroup.node().style.transform="translate(".concat(b,", ").concat(z,")")}},Object.defineProperty(a.prototype,"availableSpace",{get:function(){var y=this.attributes,x=y.showTitle,b=y.width,z=y.height;return x?this.title.node().getAvailableSpace():new Ku(0,0,b,z)},enumerable:!1,configurable:!0}),a.prototype.getBBox=function(){var y,x,b=(y=this.title)===null||y===void 0?void 0:y.node(),z=(x=this.items)===null||x===void 0?void 0:x.node();return!b||!z?E.prototype.getBBox.call(this):KW(b,z)},a.prototype.render=function(y,x){var b=this.attributes,z=b.width,ee=b.height,re=b.x,ae=re===void 0?0:re,se=b.y,fe=se===void 0?0:se,me=$i(x);x.style.transform="translate(".concat(ae,", 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b=0,x=Object.getOwnPropertySymbols(E);b{const{graph:x}=this.context;x.on(gi.AFTER_DRAW,this.createElement)},this.changeState=(x,b)=>{const{graph:z}=this.context,{typePrefix:ee}=this,re=Sc(x,[ee,"id"]),ae=Sc(x,[ee,"style","labelText"]),[se]=re.split("__"),fe=this.fieldMap[se].get(ae)||[];z.setElementState(Object.fromEntries(fe==null?void 0:fe.map(me=>[me,b])))},this.click=x=>{if(this.options.trigger==="hover")return;const b=Sc(x,[this.typePrefix,"id"]);this.selectedItems.includes(b)?(this.selectedItems=this.selectedItems.filter(z=>z!==b),this.changeState(x,[])):(this.selectedItems.push(b),this.changeState(x,"selected"))},this.mouseleave=x=>{this.options.trigger!=="click"&&(this.selectedItems=[],this.changeState(x,[]))},this.mouseenter=x=>{if(this.options.trigger==="click")return;const b=Sc(x,[this.typePrefix,"id"]);this.selectedItems.includes(b)?this.selectedItems=this.selectedItems.filter(z=>z!==b):(this.selectedItems.push(b),this.changeState(x,"active"))},this.setFieldMap=(x,b,z)=>{if(!x)return;const ee=this.fieldMap[z];if(ee)if(!ee.has(x))ee.set(x,[b]);else{const re=ee.get(x);re&&(re.push(b),ee.set(x,re))}},this.getEvents=()=>({mouseenter:this.mouseenter,mouseleave:this.mouseleave,click:this.click}),this.getMarkerData=(x,b)=>{if(!x)return[];const{model:z,element:ee}=this.context,{nodes:re,edges:ae,combos:se}=z.getData(),fe={},me=je=>qi(x)?x(je):x,Ae={node:"circle",edge:"line",combo:"rect"},Le={circle:"circle",ellipse:"circle",image:"bowtie",rect:"square",star:"cross",triangle:"triangle",diamond:"diamond",cubic:"dot",line:"hyphen",polyline:"hyphen",quadratic:"hv","cubic-horizontal":"hyphen","cubic-vertical":"line"},ke=(je,Ke)=>ee==null?void 0:ee.getElementComputedStyle(je,Ke),We=(je,Ke)=>{je.forEach(Ze=>{const{id:Je}=Ze,tt=Sc(Ze,["data",me(Ze)]),at=(ee==null?void 0:ee.getElementType(Ke,Ze))||"circle",st=ke(Ke,Ze),dt=(Ke==="edge"?st==null?void 0:st.stroke:st==null?void 0:st.fill)||"#1783ff";Je&&tt&&tt.replace(/\s+/g,"")&&(this.setFieldMap(tt,Je,Ke),fe[tt]||(fe[tt]={id:`${Ke}__${Je}`,label:tt,marker:Le[at]||Ae[Ke],elementType:Ke,lineWidth:1,stroke:dt,fill:dt}))})};switch(b){case"node":We(re,"node");break;case"edge":We(ae,"edge");break;case"combo":We(se,"combo");break;default:return[]}return Object.values(fe)},this.createElement=()=>{if(this.draw){this.updateElement();return}const x=this.options,{width:b,height:z,nodeField:ee,edgeField:re,comboField:ae,trigger:se,position:fe,container:me,containerStyle:Ae,className:Le}=x,ke=Fj(x,["width","height","nodeField","edgeField","comboField","trigger","position","container","containerStyle","className"]),We=this.getMarkerData(ee,"node"),je=this.getMarkerData(re,"edge"),Ke=this.getMarkerData(ae,"combo"),Ze=[...We,...Ke,...je],Je=Object.assign({width:b,height:z,data:Ze,itemMarkerLineWidth:({lineWidth:st})=>st,itemMarker:({marker:st})=>st,itemMarkerStroke:({stroke:st})=>st,itemMarkerFill:({fill:st})=>st,gridCol:We.length},ke,this.getEvents()),tt=new Bj({className:"legend",style:Je});this.category=tt,this.upsertCanvas().appendChild(tt),this.draw=!0},this.bindEvents()}update(a){super.update(a),this.clear(),this.createElement()}clear(){var a,y;(a=this.canvas)===null||a===void 0||a.destroy(),(y=this.container)===null||y===void 0||y.remove(),this.canvas=void 0,this.container=void 0,this.draw=!1}updateElement(){this.category&&this.category.update({itemMarkerOpacity:({id:a})=>!this.selectedItems.length||this.selectedItems.includes(a)?1:.5,itemLabelOpacity:({id:a})=>!this.selectedItems.length||this.selectedItems.includes(a)?1:.5})}upsertCanvas(){if(this.canvas)return this.canvas;const a=this.context.canvas,[y,x]=a.getSize(),{width:b=y,height:z=x,position:ee,container:re,containerStyle:ae,className:se}=this.options,[fe,me]=jx({width:b,height:z,graphCanvas:a,container:re,containerStyle:ae,placement:ee,className:"legend"});return this.container=fe,se&&fe.classList.add(se),this.canvas=me,this.canvas}destroy(){this.clear(),this.context.graph.off(gi.AFTER_DRAW,this.createElement),super.destroy()}}Jy.defaultOptions={position:"bottom",trigger:"hover",orientation:"horizontal",layout:"flex",itemSpacing:4,rowPadding:10,colPadding:10,itemMarkerSize:16,itemLabelFontSize:16,width:240,height:160};class qy extends Lu{constructor(a,y){super(a,Object.assign({},qy.defaultOptions,y)),this.onDraw=x=>{var b;!((b=x==null?void 0:x.data)===null||b===void 0)&&b.render||this.onRender()},this.shapes=new Map,this.landmarkMap=new Map,this.mask=null,this.isMaskDragging=!1,this.onMaskDragStart=x=>{this.mask&&(this.isMaskDragging=!0,this.mask.setPointerCapture(x.pointerId),this.mask.addEventListener("pointermove",this.onMaskDrag),this.mask.addEventListener("pointerup",this.onMaskDragEnd),this.mask.addEventListener("pointercancel",this.onMaskDragEnd))},this.onMaskDrag=x=>{if(!this.mask||!this.isMaskDragging)return;const{size:[b,z]}=this.options,{movementX:ee,movementY:re}=x,{left:ae,top:se,width:fe,height:me}=this.mask.style,[,,Ae,Le]=this.maskBBox;let ke=parseInt(ae)+ee,We=parseInt(se)+re,je=parseInt(fe),Ke=parseInt(me);ke<0&&(ke=0),We<0&&(We=0),ke+je>b&&(ke=bh(b-je,0)),We+Ke>z&&(We=bh(z-Ke,0)),je0?(ke=bh(ke-ee,0),je=Sh(je+ee,b)):ee<0&&(je=Sh(je-ee,b))),Ke0?(We=bh(We-re,0),Ke=Sh(Ke+re,z)):re<0&&(Ke=Sh(Ke-re,z))),Object.assign(this.mask.style,{left:ke+"px",top:We+"px",width:je+"px",height:Ke+"px"});const Ze=parseInt(ae)-ke,Je=parseInt(se)-We;if(Ze===0&&Je===0)return;const tt=this.context.canvas.getCamera().getZoom(),at=this.canvas.getCamera().getZoom(),st=tt/at;this.context.graph.translateBy([Ze*st,Je*st],!1)},this.onMaskDragEnd=x=>{this.mask&&(this.isMaskDragging=!1,this.mask.releasePointerCapture(x.pointerId),this.mask.removeEventListener("pointermove",this.onMaskDrag),this.mask.removeEventListener("pointerup",this.onMaskDragEnd),this.mask.removeEventListener("pointercancel",this.onMaskDragEnd))},this.onTransform=r2(()=>{this.isMaskDragging||(this.updateMask(),this.setCamera())},32,{leading:!0}),this.setOnRender(),this.bindEvents()}update(a){this.unbindEvents(),super.update(a),"delay"in a&&this.setOnRender(),this.bindEvents()}setOnRender(){this.onRender=Mv(()=>{this.renderMinimap(),this.renderMask()},this.options.delay)}bindEvents(){const{graph:a}=this.context;a.on(gi.AFTER_DRAW,this.onDraw),a.on(gi.AFTER_RENDER,this.onRender),a.on(gi.AFTER_ANIMATE,this.onRender),a.on(gi.AFTER_TRANSFORM,this.onTransform)}unbindEvents(){const{graph:a}=this.context;a.off(gi.AFTER_DRAW,this.onDraw),a.off(gi.AFTER_RENDER,this.onRender),a.off(gi.AFTER_ANIMATE,this.onRender),a.off(gi.AFTER_TRANSFORM,this.onTransform)}renderMinimap(){const a=this.getElements(),y=this.initCanvas();this.setShapes(y,a)}getElements(){const{filter:a}=this.options,{model:y,element:x}=this.context,b=y.getData(),z={nodes:b.nodes.filter(se=>x==null?void 0:x.getElement(Nr(se))),edges:b.edges.filter(se=>{const fe=x==null?void 0:x.getElement(Nr(se));return fe&&Jw(fe)}),combos:b.combos.filter(se=>x==null?void 0:x.getElement(Nr(se)))};if(!a)return z;const{nodes:ee,edges:re,combos:ae}=z;return{nodes:ee.filter(se=>a(Nr(se),"node")),edges:re.filter(se=>a(Nr(se),"edge")),combos:ae.filter(se=>a(Nr(se),"combo"))}}setShapes(a,y){const{nodes:x,edges:b,combos:z}=y,{shape:ee}=this.options,{element:re}=this.context;if(ee==="key"){const se=new Set,fe=me=>{const Ae=Nr(me);se.add(Ae);const Le=re.getElement(Ae);if(!Le)return;const ke=Le.getShape("key"),We=this.shapes.get(Ae)||ke.cloneNode();We.setPosition(ke.getPosition()),Le.style.zIndex&&(We.style.zIndex=Le.style.zIndex),We.id=Le.id,this.shapes.has(Ae)?Object.entries(ke.attributes).forEach(([je,Ke])=>{We.style[je]!==Ke&&(We.style[je]=Ke)}):(a.appendChild(We),this.shapes.set(Ae,We))};b.forEach(fe),z.forEach(fe),x.forEach(fe),this.shapes.forEach((me,Ae)=>{se.has(Ae)||(a.removeChild(me),this.shapes.delete(Ae))});return}const ae=(se,fe)=>{const Ae=re.getElement(se).getPosition();return fe.setPosition(Ae),fe};a.removeChildren(),b.forEach(se=>a.appendChild(ee(Nr(se),"edge"))),z.forEach(se=>{a.appendChild(ae(Nr(se),ee(Nr(se),"combo")))}),x.forEach(se=>{a.appendChild(ae(Nr(se),ee(Nr(se),"node")))})}initCanvas(){const{renderer:a,size:[y,x]}=this.options;if(this.canvas){const{width:b,height:z}=this.canvas.getConfig();(y!==b||x!==z)&&this.canvas.resize(y,x),a&&this.canvas.setRenderer(a)}else{const{className:b,position:z,container:ee,containerStyle:re}=this.options,[ae,se]=jx({renderer:a,width:y,height:x,placement:z,className:"minimap",container:ee,containerStyle:re,graphCanvas:this.context.canvas});b&&ae.classList.add(b),this.container=ae,this.canvas=se}return this.setCamera(),this.canvas}createLandmark(a,y,x){const b=`${a.join(",")}-${y.join(",")}-${x}`;if(this.landmarkMap.has(b))return this.landmarkMap.get(b);const ee=this.canvas.getCamera().createLandmark(b,{position:a,focalPoint:y,zoom:x});return this.landmarkMap.set(b,ee),ee}setCamera(){var 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x,b,z=this.attributes,ee=z.type,re=z.scale,ae=z.range,se=ae===void 0?[]:ae,fe=z.spacing,me=this.containerShape,Ae=me.width,Le=me.height,ke=(0,_t.CR)(VD(y),2),We=ke[0],je=ke[1],Ke=new Kv({domain:[(x=se[0])!==null&&x!==void 0?x:We,(b=se[1])!==null&&b!==void 0?b:je],range:[Le,Le*(1-re)]});return ee==="line"?{type:ee,x:new Kv({domain:[0,y[0].length-1],range:[0,Ae]}),y:Ke}:{type:ee,x:new cS({domain:y[0].map(function(Ze,Je){return 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0?0:me,Le=ae.transform,ke=ae.transformOrigin,We=(0,_t._T)(ae,["x","y","transform","transformOrigin"]),je=(0,_t.CR)(Ff(We,[]),2),Ke=je[0],Ze=je[1],Je=$i(y).maybeAppendByClassName(Ch.labelGroup,"g").styles(Ze),tt=(0,_t.pi)((0,_t.pi)({},QD),Ke),at=tt.text,st=(0,_t._T)(tt,["text"]);jc(!!re,Je,function(dt){x.label=dt.maybeAppendByClassName(Ch.label,"text").styles((0,_t.pi)((0,_t.pi)({},st),{x:z+fe,y:ee+Ae,transform:Le,transformOrigin:ke,text:"".concat(at)})),x.label.on("mousedown",function(ut){ut.stopPropagation()}),x.label.on("touchstart",function(ut){ut.stopPropagation()})})},a.prototype.renderIcon=function(y){var x=this.attributes,b=x.x,z=x.y,ee=x.orientation,re=x.type,ae=(0,_t.pi)((0,_t.pi)({x:b,y:z,orientation:ee},ZD),ts(this.attributes,"icon")),se=this.attributes.iconShape,fe=se===void 0?function(){return new wH({style:ae})}:se,me=$i(y).maybeAppendByClassName(Ch.iconGroup,"g");me.selectAll(Ch.icon.class).data([fe]).join(function(Ae){return Ae.append(typeof fe=="string"?fe:function(){return fe(re)}).attr("className",Ch.icon.name)},function(Ae){return Ae.update(ae)},function(Ae){return Ae.remove()})},a.prototype.render=function(y,x){this.renderIcon(x),this.renderLabel(x)},a}(zl),DH=function(E){(0,_t.ZT)(a,E);function a(y){var x=E.call(this,y,(0,_t.pi)((0,_t.pi)((0,_t.pi)({x:0,y:0,animate:{duration:100,fill:"both"},brushable:!0,formatter:function(b){return b.toString()},handleSpacing:2,orientation:"horizontal",padding:0,autoFitLabel:!0,scrollable:!0,selectionFill:"#5B8FF9",selectionFillOpacity:.45,selectionZIndex:2,showHandle:!0,showLabel:!0,slidable:!0,trackFill:"#416180",trackLength:200,trackOpacity:.05,trackSize:20,trackZIndex:-1,values:[0,1],type:"range",selectionType:"select",handleIconOffset:0},S0(YD,"handle")),S0(ZD,"handleIcon")),S0(QD,"handleLabel")))||this;return x.range=[0,1],x.onDragStart=function(b){return function(z){z.stopPropagation(),x.target=b,x.prevPos=x.getOrientVal(RD(z));var ee=x.availableSpace,re=ee.x,ae=ee.y,se=x.getBBox(),fe=se.x,me=se.y;x.selectionStartPos=x.getRatio(x.prevPos-x.getOrientVal([re,ae])-x.getOrientVal([+fe,+me])),x.selectionWidth=0,document.addEventListener("pointermove",x.onDragging),document.addEventListener("pointerup",x.onDragEnd)}},x.onDragging=function(b){var z=x.attributes,ee=z.slidable,re=z.brushable,ae=z.type;b.stopPropagation();var se=x.getOrientVal(RD(b)),fe=se-x.prevPos;if(fe){var me=x.getRatio(fe);switch(x.target){case"start":ee&&x.setValuesOffset(me);break;case"end":ee&&x.setValuesOffset(0,me);break;case"selection":ee&&x.setValuesOffset(me,me);break;case"track":if(!re)return;x.selectionWidth+=me,ae==="range"?x.innerSetValues([x.selectionStartPos,x.selectionStartPos+x.selectionWidth].sort(),!0):x.innerSetValues([0,x.selectionStartPos+x.selectionWidth],!0);break;default:break}x.prevPos=se}},x.onDragEnd=function(){document.removeEventListener("pointermove",x.onDragging),document.removeEventListener("pointermove",x.onDragging),document.removeEventListener("pointerup",x.onDragEnd),x.target="",x.updateHandlesPosition(!1)},x.onValueChange=function(b){var z=x.attributes,ee=z.onChange,re=z.type,ae=re==="range"?b:b[1],se=re==="range"?x.getValues():x.getValues()[1],fe=new nu("valuechange",{detail:{oldValue:ae,value:se}});x.dispatchEvent(fe),ee==null||ee(se)},x.selectionStartPos=0,x.selectionWidth=0,x.prevPos=0,x.target="",x}return Object.defineProperty(a.prototype,"values",{get:function(){return this.attributes.values},set:function(y){this.attributes.values=this.clampValues(y)},enumerable:!1,configurable:!0}),Object.defineProperty(a.prototype,"sparklineStyle",{get:function(){var y=this.attributes.orientation;if(y!=="horizontal")return null;var x=ts(this.attributes,"sparkline");return(0,_t.pi)((0,_t.pi)({zIndex:0},this.availableSpace),x)},enumerable:!1,configurable:!0}),Object.defineProperty(a.prototype,"shape",{get:function(){var y=this.attributes,x=y.trackLength,b=y.trackSize,z=(0,_t.CR)(this.getOrientVal([[x,b],[b,x]]),2),ee=z[0],re=z[1];return{width:ee,height:re}},enumerable:!1,configurable:!0}),Object.defineProperty(a.prototype,"availableSpace",{get:function(){var y=this.attributes,x=y.x,b=y.y,z=y.padding,ee=(0,_t.CR)(Bu(z),4),re=ee[0],ae=ee[1],se=ee[2],fe=ee[3],me=this.shape,Ae=me.width,Le=me.height;return{x:fe,y:re,width:Ae-(fe+ae),height:Le-(re+se)}},enumerable:!1,configurable:!0}),a.prototype.getValues=function(){return this.values},a.prototype.setValues=function(y,x){y===void 0&&(y=[0,0]),x===void 0&&(x=!1),this.attributes.values=y;var b=x===!1?!1:this.attributes.animate;this.updateSelectionArea(b),this.updateHandlesPosition(b)},a.prototype.updateSelectionArea=function(y){var x=this.calcSelectionArea();this.foregroundGroup.selectAll(ff.selection.class).each(function(b,z){Ud(this,x[z],y)})},a.prototype.updateHandlesPosition=function(y){this.attributes.showHandle&&(this.startHandle&&Ud(this.startHandle,this.getHandleStyle("start"),y),this.endHandle&&Ud(this.endHandle,this.getHandleStyle("end"),y))},a.prototype.innerSetValues=function(y,x){y===void 0&&(y=[0,0]),x===void 0&&(x=!1);var b=this.values,z=this.clampValues(y);this.attributes.values=z,this.setValues(z),x&&this.onValueChange(b)},a.prototype.renderTrack=function(y){var x=this.attributes,b=x.x,z=x.y,ee=ts(this.attributes,"track");this.trackShape=$i(y).maybeAppendByClassName(ff.track,"rect").styles((0,_t.pi)((0,_t.pi)({x:b,y:z},this.shape),ee))},a.prototype.renderBrushArea=function(y){var x=this.attributes,b=x.x,z=x.y,ee=x.brushable;this.brushArea=$i(y).maybeAppendByClassName(ff.brushArea,"rect").styles((0,_t.pi)({x:b,y:z,fill:"transparent",cursor:ee?"crosshair":"default"},this.shape))},a.prototype.renderSparkline=function(y){var x=this,b=this.attributes,z=b.x,ee=b.y,re=b.orientation,ae=$i(y).maybeAppendByClassName(ff.sparklineGroup,"g");jc(re==="horizontal",ae,function(se){var fe=(0,_t.pi)((0,_t.pi)({},x.sparklineStyle),{x:z,y:ee});se.maybeAppendByClassName(ff.sparkline,function(){return new PH({style:fe})}).update(fe)})},a.prototype.renderHandles=function(){var y=this,x,b=this.attributes,z=b.showHandle,ee=b.type,re=ee==="range"?["start","end"]:["end"],ae=z?re:[],se=this;(x=this.foregroundGroup)===null||x===void 0||x.selectAll(ff.handle.class).data(ae.map(function(fe){return{type:fe}}),function(fe){return fe.type}).join(function(fe){return fe.append(function(me){var Ae=me.type;return new MH({style:y.getHandleStyle(Ae)})}).each(function(me){var Ae=me.type;this.attr("class","".concat(ff.handle.name," ").concat(Ae,"-handle"));var Le="".concat(Ae,"Handle");se[Le]=this,this.addEventListener("pointerdown",se.onDragStart(Ae))})},function(fe){return fe.each(function(me){var Ae=me.type;this.update(se.getHandleStyle(Ae))})},function(fe){return fe.each(function(me){var Ae=me.type,Le="".concat(Ae,"Handle");se[Le]=void 0}).remove()})},a.prototype.renderSelection=function(y){var x=this.attributes,b=x.x,z=x.y,ee=x.type,re=x.selectionType;this.foregroundGroup=$i(y).maybeAppendByClassName(ff.foreground,"g");var ae=ts(this.attributes,"selection"),se=function(me){return me.style("visibility",function(Ae){return Ae.show?"visible":"hidden"}).style("cursor",function(Ae){return re==="select"?"grab":re==="invert"?"crosshair":"default"}).styles((0,_t.pi)((0,_t.pi)({},ae),{transform:"translate(".concat(b,", ").concat(z,")")}))},fe=this;this.foregroundGroup.selectAll(ff.selection.class).data(ee==="value"?[]:this.calcSelectionArea().map(function(me,Ae){return{style:(0,_t.pi)({},me),index:Ae,show:re==="select"?Ae===1:Ae!==1}}),function(me){return me.index}).join(function(me){return me.append("rect").attr("className",ff.selection.name).call(se).each(function(Ae,Le){var ke=this;Le===1?(fe.selectionShape=$i(this),this.on("pointerdown",function(We){ke.attr("cursor","grabbing"),fe.onDragStart("selection")(We)}),fe.dispatchCustomEvent(this,"pointerenter","selectionMouseenter"),fe.dispatchCustomEvent(this,"pointerleave","selectionMouseleave"),fe.dispatchCustomEvent(this,"click","selectionClick"),this.addEventListener("pointerdown",function(){ke.attr("cursor","grabbing")}),this.addEventListener("pointerup",function(){ke.attr("cursor","pointer")}),this.addEventListener("pointerover",function(){ke.attr("cursor","pointer")})):this.on("pointerdown",fe.onDragStart("track"))})},function(me){return me.call(se)},function(me){return me.remove()}),this.updateSelectionArea(!1),this.renderHandles()},a.prototype.render=function(y,x){this.renderTrack(x),this.renderSparkline(x),this.renderBrushArea(x),this.renderSelection(x)},a.prototype.clampValues=function(y,x){var b;x===void 0&&(x=4);var z=(0,_t.CR)(this.range,2),ee=z[0],re=z[1],ae=(0,_t.CR)(this.getValues().map(function(je){return tS(je,x)}),2),se=ae[0],fe=ae[1],me=Array.isArray(y)?y:[se,y!=null?y:fe],Ae=(0,_t.CR)((me||[se,fe]).map(function(je){return tS(je,x)}),2),Le=Ae[0],ke=Ae[1];if(this.attributes.type==="value")return[0,Dl(ke,ee,re)];Le>ke&&(b=(0,_t.CR)([ke,Le],2),Le=b[0],ke=b[1]);var We=ke-Le;return We>re-ee?[ee,re]:Lere?fe===re&&se===Le?[Le,re]:[re-We,re]:[Le,ke]},a.prototype.calcSelectionArea=function(y){var x=(0,_t.CR)(this.clampValues(y),2),b=x[0],z=x[1],ee=this.availableSpace,re=ee.x,ae=ee.y,se=ee.width,fe=ee.height;return this.getOrientVal([[{y:ae,height:fe,x:re,width:b*se},{y:ae,height:fe,x:b*se+re,width:(z-b)*se},{y:ae,height:fe,x:z*se,width:(1-z)*se}],[{x:re,width:se,y:ae,height:b*fe},{x:re,width:se,y:b*fe+ae,height:(z-b)*fe},{x:re,width:se,y:z*fe,height:(1-z)*fe}]])},a.prototype.calcHandlePosition=function(y){var x=this.attributes.handleIconOffset,b=this.availableSpace,z=b.x,ee=b.y,re=b.width,ae=b.height,se=(0,_t.CR)(this.clampValues(),2),fe=se[0],me=se[1],Ae=y==="start"?-x:x,Le=(y==="start"?fe:me)*this.getOrientVal([re,ae])+Ae;return{x:z+this.getOrientVal([Le,re/2]),y:ee+this.getOrientVal([ae/2,Le])}},a.prototype.inferTextStyle=function(y){var x=this.attributes.orientation;return x==="horizontal"?{}:y==="start"?{transformOrigin:"left center",transform:"rotate(90)",textAlign:"start"}:y==="end"?{transformOrigin:"right center",transform:"rotate(90)",textAlign:"end"}:{}},a.prototype.calcHandleText=function(y){var x,b=this.attributes,z=b.type,ee=b.orientation,re=b.formatter,ae=b.autoFitLabel,se=ts(this.attributes,"handle"),fe=ts(se,"label"),me=se.spacing,Ae=this.getHandleSize(),Le=this.clampValues(),ke=y==="start"?Le[0]:Le[1],We=re(ke),je=new Fx({style:(0,_t.pi)((0,_t.pi)((0,_t.pi)({},fe),this.inferTextStyle(y)),{text:We})}),Ke=je.getBBox(),Ze=Ke.width,Je=Ke.height;if(je.destroy(),!ae){if(z==="value")return{text:We,x:0,y:-Je-me};var tt=me+Ae+(ee==="horizontal"?Ze/2:0);return x={text:We},x[ee==="horizontal"?"x":"y"]=y==="start"?-tt:tt,x}var at=0,st=0,dt=this.availableSpace,ut=dt.width,wt=dt.height,Bt=this.calcSelectionArea()[1],Ht=Bt.x,Qt=Bt.y,hn=Bt.width,on=Bt.height,Pn=me+Ae;if(ee==="horizontal"){var Jn=Pn+Ze/2;if(y==="start"){var pn=Ht-Pn-Ze;at=pn>0?-Jn:Jn}else{var yn=ut-Ht-hn-Pn>Ze;at=yn?Jn:-Jn}}else{var Cn=Pn,ar=Je+Pn;y==="start"?st=Qt-Ae>Je?-ar:Cn:st=wt-(Qt+on)-Ae>Je?ar:-Cn}return{x:at,y:st,text:We}},a.prototype.getHandleLabelStyle=function(y){var x=ts(this.attributes,"handleLabel");return(0,_t.pi)((0,_t.pi)((0,_t.pi)({},x),this.calcHandleText(y)),this.inferTextStyle(y))},a.prototype.getHandleIconStyle=function(){var y=this.attributes.handleIconShape,x=ts(this.attributes,"handleIcon"),b=this.getOrientVal(["ew-resize","ns-resize"]),z=this.getHandleSize();return(0,_t.pi)({cursor:b,shape:y,size:z},x)},a.prototype.getHandleStyle=function(y){var x=this.attributes,b=x.x,z=x.y,ee=x.showLabel,re=x.showLabelOnInteraction,ae=x.orientation,se=this.calcHandlePosition(y),fe=se.x,me=se.y,Ae=this.calcHandleText(y),Le=ee;return!ee&&re&&(this.target?Le=!0:Le=!1),(0,_t.pi)((0,_t.pi)((0,_t.pi)({},S0(this.getHandleIconStyle(),"icon")),S0((0,_t.pi)((0,_t.pi)({},this.getHandleLabelStyle(y)),Ae),"label")),{transform:"translate(".concat(fe+b,", ").concat(me+z,")"),orientation:ae,showLabel:Le,type:y,zIndex:3})},a.prototype.getHandleSize=function(){var y=this.attributes,x=y.handleIconSize,b=y.width,z=y.height;return x||Math.floor((this.getOrientVal([+z,+b])+4)/2.4)},a.prototype.getOrientVal=function(y){var x=(0,_t.CR)(y,2),b=x[0],z=x[1],ee=this.attributes.orientation;return ee==="horizontal"?b:z},a.prototype.setValuesOffset=function(y,x,b){x===void 0&&(x=0),b===void 0&&(b=!1);var z=this.attributes.type,ee=(0,_t.CR)(this.getValues(),2),re=ee[0],ae=ee[1],se=z==="range"?y:0,fe=[re+se,ae+x].sort();b?this.setValues(fe):this.innerSetValues(fe,!0)},a.prototype.getRatio=function(y){var x=this.availableSpace,b=x.width,z=x.height;return y/this.getOrientVal([b,z])},a.prototype.dispatchCustomEvent=function(y,x,b){var z=this;y.on(x,function(ee){ee.stopPropagation(),z.dispatchEvent(new nu(b,{detail:ee}))})},a.prototype.bindEvents=function(){this.addEventListener("wheel",this.onScroll);var y=this.brushArea;this.dispatchCustomEvent(y,"click","trackClick"),this.dispatchCustomEvent(y,"pointerenter","trackMouseenter"),this.dispatchCustomEvent(y,"pointerleave","trackMouseleave"),y.on("pointerdown",this.onDragStart("track"))},a.prototype.onScroll=function(y){var x=this.attributes.scrollable;if(x){var b=y.deltaX,z=y.deltaY,ee=z||b,re=this.getRatio(ee);this.setValuesOffset(re,re,!0)}},a.tag="slider",a}(zl),IH={backgroundFill:"#262626",backgroundLineCap:"round",backgroundLineWidth:1,backgroundStroke:"#333",backgroundZIndex:-1,formatter:function(E){return E.toString()},labelFill:"#fff",labelFontSize:12,labelTextBaseline:"middle",padding:[2,4],position:"right",radius:0,zIndex:999},fS=zd({background:"background",labelGroup:"label-group",label:"label"},"indicator"),OH=function(E){(0,_t.ZT)(a,E);function a(y){var x=E.call(this,y,IH)||this;return x.point=[0,0],x.group=x.appendChild(new du({})),x.isMutationObserved=!0,x}return a.prototype.renderBackground=function(){if(this.label){var y=this.attributes,x=y.position,b=y.padding,z=(0,_t.CR)(Bu(b),4),ee=z[0],re=z[1],ae=z[2],se=z[3],fe=this.label.node().getLocalBounds(),me=fe.min,Ae=fe.max,Le=new Ku(me[0]-se,me[1]-ee,Ae[0]+re-me[0]+se,Ae[1]+ae-me[1]+ee),ke=this.getPath(x,Le),We=ts(this.attributes,"background");this.background=$i(this.group).maybeAppendByClassName(fS.background,"path").styles((0,_t.pi)((0,_t.pi)({},We),{d:ke})),this.group.appendChild(this.label.node())}},a.prototype.renderLabel=function(){var y=this.attributes,x=y.formatter,b=y.labelText,z=ts(this.attributes,"label"),ee=(0,_t.CR)(Ff(z),2),re=ee[0],ae=ee[1],se=re.text,fe=(0,_t._T)(re,["text"]);if(this.label=$i(this.group).maybeAppendByClassName(fS.labelGroup,"g").styles(ae),!!b){var me=this.label.maybeAppendByClassName(fS.label,function(){return kf(x(b))}).style("text",x(b).toString());me.selectAll("text").styles(fe)}},a.prototype.adjustLayout=function(){var y=(0,_t.CR)(this.point,2),x=y[0],b=y[1],z=this.attributes,ee=z.x,re=z.y;this.group.attr("transform","translate(".concat(ee-x,", ").concat(re-b,")"))},a.prototype.getPath=function(y,x){var b=this.attributes.radius,z=x.x,ee=x.y,re=x.width,ae=x.height,se=[["M",z+b,ee],["L",z+re-b,ee],["A",b,b,0,0,1,z+re,ee+b],["L",z+re,ee+ae-b],["A",b,b,0,0,1,z+re-b,ee+ae],["L",z+b,ee+ae],["A",b,b,0,0,1,z,ee+ae-b],["L",z,ee+b],["A",b,b,0,0,1,z+b,ee],["Z"]],fe={top:4,right:6,bottom:0,left:2},me=fe[y],Ae=this.createCorner([se[me].slice(-2),se[me+1].slice(-2)]);return se.splice.apply(se,(0,_t.ev)([me+1,1],(0,_t.CR)(Ae),!1)),se[0][0]="M",se},a.prototype.createCorner=function(y,x){x===void 0&&(x=10);var b=.8,z=wj.apply(void 0,(0,_t.ev)([],(0,_t.CR)(y),!1)),ee=(0,_t.CR)(y,2),re=(0,_t.CR)(ee[0],2),ae=re[0],se=re[1],fe=(0,_t.CR)(ee[1],2),me=fe[0],Ae=fe[1],Le=(0,_t.CR)(z?[me-ae,[ae,me]]:[Ae-se,[se,Ae]],2),ke=Le[0],We=(0,_t.CR)(Le[1],2),je=We[0],Ke=We[1],Ze=ke/2,Je=ke/Math.abs(ke),tt=x*Je,at=tt/2,st=tt*Math.sqrt(3)/2*b,dt=(0,_t.CR)([je,je+Ze-at,je+Ze,je+Ze+at,Ke],5),ut=dt[0],wt=dt[1],Bt=dt[2],Ht=dt[3],Qt=dt[4];return z?(this.point=[Bt,se-st],[["L",ut,se],["L",wt,se],["L",Bt,se-st],["L",Ht,se],["L",Qt,se]]):(this.point=[ae+st,Bt],[["L",ae,ut],["L",ae,wt],["L",ae+st,Bt],["L",ae,Ht],["L",ae,Qt]])},a.prototype.applyVisibility=function(){var y=this.attributes.visibility;y==="hidden"?_d(this):_v(this)},a.prototype.bindEvents=function(){this.label.on(ys.BOUNDS_CHANGED,this.renderBackground)},a.prototype.render=function(){this.renderLabel(),this.renderBackground(),this.adjustLayout(),this.applyVisibility()},a}(zl),TH=function(E){(0,_t.ZT)(a,E);function a(y){var x=E.call(this,bu({},a.defaultOptions,y))||this;return x.hoverColor="#f5f5f5",x.selectedColor="#e6f7ff",x.background=x.appendChild(new Iu({})),x.label=x.background.appendChild(new du({})),x}return Object.defineProperty(a.prototype,"padding",{get:function(){return Bu(this.style.padding)},enumerable:!1,configurable:!0}),a.prototype.renderLabel=function(){var y=this.style,x=y.label,b=y.value,z=ts(this.attributes,"label");$i(this.label).maybeAppend(".label",function(){return kf(x)}).attr("className","label").styles(z),this.label.attr("__data__",b)},a.prototype.renderBackground=function(){var y=this.label.getBBox(),x=(0,_t.CR)(this.padding,4),b=x[0],z=x[1],ee=x[2],re=x[3],ae=y.width,se=y.height,fe=ae+re+z,me=se+b+ee,Ae=ts(this.attributes,"background"),Le=this.style,ke=Le.width,We=ke===void 0?0:ke,je=Le.height,Ke=je===void 0?0:je,Ze=Le.selected;this.background.attr((0,_t.pi)((0,_t.pi)({},Ae),{width:Math.max(fe,We),height:Math.max(me,Ke),fill:Ze?this.selectedColor:"#fff"})),this.label.attr({transform:"translate(".concat(re,", ").concat((me-se)/2,")")})},a.prototype.render=function(){this.renderLabel(),this.renderBackground()},a.prototype.bindEvents=function(){var 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y=this,x,b,z=this.style,ee=z.x,re=z.y,ae=z.width,se=z.height,fe=z.options,me=z.onSelect,Ae=z.open,Le=ts(this.attributes,"dropdown"),ke=ts(this.attributes,"option"),We=this.dropdownPadding;$i(this.dropdown).maybeAppend(".dropdown-container","g").attr("className","dropdown-container").selectAll(".dropdown-item").data(fe,function(Ze){return Ze.value}).join(function(Ze){return Ze.append(function(Je){return new TH({className:"dropdown-item",style:(0,_t.pi)((0,_t.pi)((0,_t.pi)({},Je),ke),{width:ae-We[1]-We[3],selected:Je.value===y.currentValue,onClick:function(tt,at,st){y.setValue(tt),me==null||me(tt,at,st),y.dispatchEvent(new nu("change",{detail:{value:tt,option:at,item:st}})),_d(y.dropdown)}})})}).each(function(Je,tt){var at,st=(at=this.parentNode)===null||at===void 0?void 0:at.children,dt=st.reduce(function(ut,wt,Bt){return Btz.time?1:0};return y.sort(x)},enumerable:!1,configurable:!0}),Object.defineProperty(a.prototype,"space",{get:function(){var y=this.attributes,x=y.x,b=y.y,z=y.width,ee=y.height,re=y.type,ae=y.controllerHeight,se=Dl(+ee-ae,0,+ee),fe=new Ku(x,b+ +ee-ae,+z,ae),me,Ae=0;re==="chart"?(Ae=35,me=new Ku(x,b+se-Ae,+z,Ae)):me=new Ku;var Le=re==="time"?10:se,ke=new Ku(x,b+(re==="time"?se:se-Le),+z,Le-Ae);return{axisBBox:me,controllerBBox:fe,timelineBBox:ke}},enumerable:!1,configurable:!0}),a.prototype.setBySliderValues=function(y){var x,b,z=this.data,ee=(0,_t.CR)(Array.isArray(y)?y:[0,y],2),re=ee[0],ae=ee[1],se=z.length,fe=z[Math.floor(re*se)],me=z[Math.ceil(ae*se)-(Array.isArray(y)?0:1)];this.states.values=[(x=fe==null?void 0:fe.time)!==null&&x!==void 0?x:z[0].time,(b=me==null?void 0:me.time)!==null&&b!==void 0?b:1/0]},a.prototype.setByTimebarValues=function(y){var x,b,z,ee=this.data,re=(0,_t.CR)(Array.isArray(y)?y:[void 0,y],2),ae=re[0],se=re[1],fe=ee.find(function(Ae){var Le=Ae.time;return Le===ae}),me=ee.find(function(Ae){var Le=Ae.time;return Le===se});this.states.values=[(x=fe==null?void 0:fe.time)!==null&&x!==void 0?x:(b=ee[0])===null||b===void 0?void 0:b.time,(z=me==null?void 0:me.time)!==null&&z!==void 0?z:1/0]},a.prototype.setByIndex=function(y){var x,b,z,ee,re=this.data,ae=(0,_t.CR)(y,2),se=ae[0],fe=ae[1];this.states.values=[(b=(x=re[se])===null||x===void 0?void 0:x.time)!==null&&b!==void 0?b:re[0].time,(ee=(z=this.data[fe])===null||z===void 0?void 0:z.time)!==null&&ee!==void 0?ee:1/0]},Object.defineProperty(a.prototype,"sliderValues",{get:function(){var y=this.states,x=y.values,b=y.selectionType,z=(0,_t.CR)(Array.isArray(x)?x:[void 0,x],2),ee=z[0],re=z[1],ae=this.data,se=ae.length,fe=b==="value",me=function(){var Le=ae.findIndex(function(ke){var ze=ke.time;return ze===ee});return fe?0:Le>-1?Le/se:0},Ae=function(){if(re===1/0)return 1;var Le=ae.findIndex(function(ke){var ze=ke.time;return ze===re});return Le>-1?Le/se:fe?.5:1};return[me(),Ae()]},enumerable:!1,configurable:!0}),Object.defineProperty(a.prototype,"values",{get:function(){var 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QH({})},selectionFill:"#2e7ff8",selectionFillOpacity:1,showLabelOnInteraction:!0,handleLabelDy:Ze?-15:0,autoFitLabel:Ze,handleSpacing:Ze?-15:0,trackFill:"#edeeef",trackLength:ee,trackOpacity:.5,trackRadius:re/2,trackSize:re/2,type:se,values:this.sliderValues,formatter:function(it){if(ke)return ke(it);var st=x.getDatumByRatio(it).time;return typeof st=="number"?XD(st):oc(st,"YYYY-MM-DD HH:mm:ss")},transform:"translate(".concat(b,", ").concat(z,")"),zIndex:1},Ke);var Je=se==="range"?5:0,tt=me.map(function(it){var st=it.value;return st});return(0,_t.pi)({handleIconOffset:Je,handleIconShape:this.chartHandleIconShape,selectionFill:"#fff",selectionFillOpacity:.5,selectionType:"invert",sparklineSpacing:.1,sparklineColumnLineWidth:0,sparklineColor:"#d4e5fd",sparklineAreaOpacity:1,sparklineAreaLineWidth:0,sparklineData:tt,sparklineType:fe,sparklineScale:.8,trackLength:ee,trackSize:re,type:se,values:this.sliderValues,transform:"translate(".concat(b,", 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se=`${re}s`;(((ae=this.originalData)===null||ae===void 0?void 0:ae[se])||[]).forEach(me=>{const Ae=Nr(me),Le=b(me);qD(Le,a)?ee.push(Ae):z.push(Ae)})}),y.hideElement(z,!1),y.showElement(ee,!1)}destroy(){var a,y,x;const{graph:b}=this.context;this.originalData&&b.setData(Object.assign({},this.originalData)),(a=this.timebar)===null||a===void 0||a.destroy(),(y=this.canvas)===null||y===void 0||y.destroy(),(x=this.container)===null||x===void 0||x.remove(),this.originalData=void 0,this.container=void 0,this.timebar=void 0,this.canvas=void 0,super.destroy()}}d1.defaultOptions={position:"bottom",enable:!0,timebarType:"time",className:"g6-timebar",width:450,height:60,zIndex:3,elementTypes:["node"],padding:10,mode:"modify",getTime:E=>rV(E,nV,void 0),loop:!1};const JD=E=>{const{nodes:a=[],edges:y=[],combos:x=[]}=E;return{nodes:[...a],edges:[...y],combos:[...x]}},qD=(E,a)=>{if(ji(a))return E===a;const[y,x]=a;return E>=y&&E<=x},rV=(E,a,y)=>{var x;for(let 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x,b,z=this.data,ee=(0,_t.CR)(Array.isArray(y)?y:[0,y],2),re=ee[0],ae=ee[1],se=z.length,fe=z[Math.floor(re*se)],me=z[Math.ceil(ae*se)-(Array.isArray(y)?0:1)];this.states.values=[(x=fe==null?void 0:fe.time)!==null&&x!==void 0?x:z[0].time,(b=me==null?void 0:me.time)!==null&&b!==void 0?b:1/0]},a.prototype.setByTimebarValues=function(y){var x,b,z,ee=this.data,re=(0,_t.CR)(Array.isArray(y)?y:[void 0,y],2),ae=re[0],se=re[1],fe=ee.find(function(Ae){var Le=Ae.time;return Le===ae}),me=ee.find(function(Ae){var Le=Ae.time;return Le===se});this.states.values=[(x=fe==null?void 0:fe.time)!==null&&x!==void 0?x:(b=ee[0])===null||b===void 0?void 0:b.time,(z=me==null?void 0:me.time)!==null&&z!==void 0?z:1/0]},a.prototype.setByIndex=function(y){var x,b,z,ee,re=this.data,ae=(0,_t.CR)(y,2),se=ae[0],fe=ae[1];this.states.values=[(b=(x=re[se])===null||x===void 0?void 0:x.time)!==null&&b!==void 0?b:re[0].time,(ee=(z=this.data[fe])===null||z===void 0?void 0:z.time)!==null&&ee!==void 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y==="range"?function(b){return new KH({style:{type:b,height:x,iconSize:x/6}})}:function(){return new ug({style:{x1:0,y1:-x/2,x2:0,y2:x/2,lineWidth:2,stroke:"#c8c8c8"}})}},enumerable:!1,configurable:!0}),a.prototype.getChartStyle=function(y){var x=this,b=y.x,z=y.y,ee=y.width,re=y.height,ae=this.states,se=ae.selectionType,fe=ae.chartType,me=this.data,Ae=this.attributes,Le=Ae.type,ke=Ae.labelFormatter,We=ts(this.attributes,"chart"),je=We.type,Ke=(0,_t._T)(We,["type"]),Ze=se==="range";if(Le==="time")return(0,_t.pi)({handleIconShape:function(){return new VH({})},selectionFill:"#2e7ff8",selectionFillOpacity:1,showLabelOnInteraction:!0,handleLabelDy:Ze?-15:0,autoFitLabel:Ze,handleSpacing:Ze?-15:0,trackFill:"#edeeef",trackLength:ee,trackOpacity:.5,trackRadius:re/2,trackSize:re/2,type:se,values:this.sliderValues,formatter:function(at){if(ke)return ke(at);var st=x.getDatumByRatio(at).time;return typeof st=="number"?JD(st):oc(st,"YYYY-MM-DD HH:mm:ss")},transform:"translate(".concat(b,", 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x=this.data,b=this.attributes,z=b.interval,ee=b.labelFormatter,re=ts(this.attributes,"axis"),ae=y.x,se=y.y,fe=y.width,me=(0,_t.ev)((0,_t.ev)([],(0,_t.CR)(x),!1),[{time:0}],!1).map(function(Le,ke,We){var je=Le.time;return{label:"".concat(je),value:ke/(We.length-1),time:je}}),Ae=(0,_t.pi)({startPos:[ae,se],endPos:[ae+fe,se],data:me,labelFilter:function(Le,ke){return kez?ae==="value"?[0,0]:se==="acc"?[dt(at),dt(at)]:[0,dt(st-at)]:at<0?se==="acc"?[0,dt(st)]:[dt(at+z-st),z]:[dt(at),dt(st)]},Ze=Ke(je);return this.setByIndex(Ze),this.updateSelection(),Ze},a.prototype.internalBackward=function(y){var x,b,z=this.moveSelection("backward",y);return y||((b=(x=this.attributes)===null||x===void 0?void 0:x.onBackward)===null||b===void 0||b.call(x),this.dispatchOnChange()),z},a.prototype.backward=function(){this.internalBackward()},a.prototype.internalPlay=function(y){var x=this,b,z,ee=this.data,re=this.attributes.loop,ae=this.states.speed,se=ae===void 0?1:ae;this.playInterval=window.setInterval(function(){var fe=x.internalForward();fe[1]===ee.length&&!re&&(x.internalPause(),x.renderController())},1e3/se),this.states.state="play",!y&&((z=(b=this.attributes)===null||b===void 0?void 0:b.onPlay)===null||z===void 0||z.call(b))},a.prototype.play=function(){this.internalPlay()},a.prototype.internalPause=function(y){var x,b;clearInterval(this.playInterval),this.states.state="pause",!y&&((b=(x=this.attributes)===null||x===void 0?void 0:x.onPause)===null||b===void 0||b.call(x))},a.prototype.pause=function(){this.internalPause()},a.prototype.internalForward=function(y){var x,b,z=this.moveSelection("forward",y);return y||((b=(x=this.attributes)===null||x===void 0?void 0:x.onForward)===null||b===void 0||b.call(x),this.dispatchOnChange()),z},a.prototype.forward=function(){this.internalForward()},a.prototype.handleSpeedChange=function(y){var x,b;this.states.speed=y;var z=this.states.state;z==="play"&&(this.internalPause(!0),this.internalPlay(!0)),(b=(x=this.attributes)===null||x===void 0?void 0:x.onSpeedChange)===null||b===void 0||b.call(x,y)},a.prototype.handleSelectionTypeChange=function(y){var x,b;this.states.selectionType=y,this.renderChart(),(b=(x=this.attributes)===null||x===void 0?void 0:x.onSelectionTypeChange)===null||b===void 0||b.call(x,y)},a.prototype.handleChartTypeChange=function(y){var x,b;this.states.chartType=y,this.renderChart(),(b=(x=this.attributes)===null||x===void 0?void 0:x.onChartTypeChange)===null||b===void 0||b.call(x,y)},a.prototype.render=function(){var y=this.space,x=y.axisBBox,b=y.controllerBBox,z=y.timelineBBox;this.renderController(b),this.renderAxis(x),this.renderChart(z),this.states.state==="play"&&this.internalPlay()},a.prototype.destroy=function(){E.prototype.destroy.call(this),this.internalPause(!0)},a.defaultOptions={style:{x:0,y:0,axisLabelFill:"#6e6e6e",axisLabelTextAlign:"left",axisLabelTextBaseline:"top",axisLabelTransform:"translate(5, -12)",axisLineLineWidth:1,axisLineStroke:"#cacdd1",axisTickLength:15,axisTickLineWidth:1,axisTickStroke:"#cacdd1",chartShowLabel:!1,chartType:"line",controllerAlign:"center",controllerHeight:40,data:[],interval:"day",loop:!1,playMode:"acc",selectionType:"range",type:"time"}},a}(zl);function XH(E){return E instanceof Date}var JH=function(E,a,y,x){function b(z){return z instanceof y?z:new y(function(ee){ee(z)})}return new(y||(y=Promise))(function(z,ee){function re(fe){try{se(x.next(fe))}catch(me){ee(me)}}function ae(fe){try{se(x.throw(fe))}catch(me){ee(me)}}function 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this.canvas;const{className:a,height:y,position:x}=this.options,b=this.context.canvas,[z]=b.getSize(),[ee,,re]=this.padding,[ae,se]=jx({width:z,height:y+ee+re,graphCanvas:b,className:"timebar",placement:x});return this.container=ae,a&&ae.classList.add(a),this.canvas=se,this.canvas}filterElements(a){return JH(this,void 0,void 0,function*(){var y;if(!this.originalData)return;const{elementTypes:x,getTime:b}=this.options,{graph:z,element:ee}=this.context,re=qD(this.originalData);x.forEach(se=>{const fe=`${se}s`;re[fe]=(this.originalData[fe]||[]).filter(me=>{const Ae=b(me);return!!$D(Ae,a)})});const ae=[...re.nodes,...re.combos].map(se=>Nr(se));re.edges=re.edges.filter(se=>{const fe=se.source,me=se.target;return ae.includes(fe)&&ae.includes(me)}),z.setData(re),yield(y=ee.draw({animation:!1,silence:!0}))===null||y===void 0?void 0:y.finished})}hiddenElements(a){const{graph:y}=this.context,{elementTypes:x,getTime:b}=this.options,z=[],ee=[];x.forEach(re=>{var ae;const se=`${re}s`;(((ae=this.originalData)===null||ae===void 0?void 0:ae[se])||[]).forEach(me=>{const Ae=Nr(me),Le=b(me);$D(Le,a)?ee.push(Ae):z.push(Ae)})}),y.hideElement(z,!1),y.showElement(ee,!1)}destroy(){var a,y,x;const{graph:b}=this.context;this.originalData&&b.setData(Object.assign({},this.originalData)),(a=this.timebar)===null||a===void 0||a.destroy(),(y=this.canvas)===null||y===void 0||y.destroy(),(x=this.container)===null||x===void 0||x.remove(),this.originalData=void 0,this.container=void 0,this.timebar=void 0,this.canvas=void 0,super.destroy()}}c1.defaultOptions={position:"bottom",enable:!0,timebarType:"time",className:"g6-timebar",width:450,height:60,zIndex:3,elementTypes:["node"],padding:10,mode:"modify",getTime:E=>eV(E,$H,void 0),loop:!1};const qD=E=>{const{nodes:a=[],edges:y=[],combos:x=[]}=E;return{nodes:[...a],edges:[...y],combos:[...x]}},$D=(E,a)=>{if(ji(a))return E===a;const[y,x]=a;return E>=y&&E<=x},eV=(E,a,y)=>{var x;for(let 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yg(y,b=>{b!==y&&x.push(b)},b=>this.getChildrenData(Nr(b)),"TB"),x}getParentData(a,y){const{model:x}=this;if(!y){Ac.warn("The hierarchy structure key is not specified");return}if(!x.hasNode(a)||!x.hasTreeStructure(y))return;const b=x.getParent(a,y);return b?Cu(b):void 0}getChildrenData(a){const y=this.getElementType(a)==="node"?kc:ll,{model:x}=this;return!x.hasNode(a)||!x.hasTreeStructure(y)?[]:x.getChildren(a,y).map(Cu)}getElementsDataByType(a){return a==="node"?this.getNodeData():a==="edge"?this.getEdgeData():a==="combo"?this.getComboData():[]}getElementDataById(a){return this.getElementType(a)==="edge"?this.getEdgeDatum(a):this.getNodeLikeDatum(a)}getNodeLikeDatum(a){const y=this.model.getNode(a);return Cu(y)}getNodeLikeData(a){return this.model.getAllNodes().reduce((y,x)=>{const b=Cu(x);return a?a.includes(Nr(b))&&y.push(b):y.push(b),y},[])}getElementDataByState(a,y){return this.getElementsDataByType(a).filter(b=>{var z;return(z=b.states)===null||z===void 0?void 0:z.includes(y)})}getElementState(a){var y;return((y=this.getElementDataById(a))===null||y===void 0?void 0:y.states)||[]}hasNode(a){return this.model.hasNode(a)&&!this.isCombo(a)}hasEdge(a){return this.model.hasEdge(a)}hasCombo(a){return this.model.hasNode(a)&&this.isCombo(a)}getRelatedEdgesData(a,y="both"){return this.model.getRelatedEdges(a,y).map(Cu)}getNeighborNodesData(a){return this.model.getNeighbors(a).map(Cu)}setData(a){const{nodes:y=[],edges:x=[],combos:b=[]}=a,{nodes:z,edges:ee,combos:re}=this.getData(),ae=lh(z,y,me=>Nr(me),I0),se=lh(ee,x,me=>Nr(me),I0),fe=lh(re,b,me=>Nr(me),I0);this.batch(()=>{const me={nodes:ae.enter,edges:se.enter,combos:fe.enter};this.addData(me),this.computeZIndex(me,"add",!0);const Ae={nodes:ae.update,edges:se.update,combos:fe.update};this.updateData(Ae),this.computeZIndex(Ae,"update",!0);const Le={nodes:ae.exit.map(Nr),edges:se.exit.map(Nr),combos:fe.exit.map(Nr)};this.removeData(Le)})}addData(a){const{nodes:y,edges:x,combos:b}=a;this.batch(()=>{this.addComboData(b),this.addNodeData(y),this.addEdgeData(x)}),this.computeZIndex(a,"add")}addNodeData(a=[]){a.length&&(this.model.addNodes(a.map(y=>(this.pushChange({value:y,type:El.NodeAdded}),SS(y)))),this.updateNodeLikeHierarchy(a),this.computeZIndex({nodes:a},"add"))}addEdgeData(a=[]){a.length&&(this.model.addEdges(a.map(y=>(this.pushChange({value:y,type:El.EdgeAdded}),SS(y)))),this.computeZIndex({edges:a},"add"))}addComboData(a=[]){if(!a.length)return;const{model:y}=this;y.hasTreeStructure(ll)||y.attachTreeStructure(ll),y.addNodes(a.map(x=>(this.comboIds.add(Nr(x)),this.pushChange({value:x,type:El.ComboAdded}),SS(x)))),this.updateNodeLikeHierarchy(a),this.computeZIndex({combos:a},"add")}addChildrenData(a,y){const x=this.getNodeLikeDatum(a),b=y.map(Nr);this.addNodeData(y),this.updateNodeData([{id:a,children:[...x.children||[],...b]}]),this.addEdgeData(b.map(z=>({source:a,target:z})))}computeZIndex(a,y,x=!1){!x&&this.isBatching()||this.batch(()=>{const{nodes:b=[],edges:z=[],combos:ee=[]}=a;ee.forEach(re=>{var ae,se,fe;const me=Nr(re);if(y==="add"&&ji((ae=re.style)===null||ae===void 0?void 0:ae.zIndex)||y==="update"&&!("combo"in re))return;const Ae=this.getParentData(me,ll),Le=Ae?((fe=(se=Ae.style)===null||se===void 0?void 0:se.zIndex)!==null&&fe!==void 0?fe:0)+1:0;this.preventUpdateNodeLikeHierarchy(()=>{this.updateComboData([{id:me,style:{zIndex:Le}}])})}),b.forEach(re=>{var ae,se,fe;const me=Nr(re);if(y==="add"&&ji((ae=re.style)===null||ae===void 0?void 0:ae.zIndex)||y==="update"&&!("combo"in re)&&!("children"in re))return;let Ae=0;const Le=this.getParentData(me,ll);if(Le)Ae=(((se=Le.style)===null||se===void 0?void 0:se.zIndex)||0)+1;else{const ke=this.getParentData(me,kc);ke&&(Ae=((fe=ke==null?void 0:ke.style)===null||fe===void 0?void 0:fe.zIndex)||0)}this.preventUpdateNodeLikeHierarchy(()=>{this.updateNodeData([{id:me,style:{zIndex:Ae}}])})}),z.forEach(re=>{var ae,se,fe,me,Ae;if(ji((ae=re.style)===null||ae===void 0?void 0:ae.zIndex))return;let{id:Le,source:ke,target:ze}=re;if(!Le)Le=Nr(re);else{const Ze=this.getEdgeDatum(Le);ke=Ze.source,ze=Ze.target}if(!ke||!ze)return;const je=((fe=(se=this.getNodeLikeDatum(ke))===null||se===void 0?void 0:se.style)===null||fe===void 0?void 0:fe.zIndex)||0,Ke=((Ae=(me=this.getNodeLikeDatum(ze))===null||me===void 0?void 0:me.style)===null||Ae===void 0?void 0:Ae.zIndex)||0;this.updateEdgeData([{id:Nr(re),style:{zIndex:Math.max(je,Ke)-1}}])})})}getFrontZIndex(a){var y;const x=this.getElementType(a),b=this.getElementDataById(a),z=this.getData();if(Object.assign(z,{[`${x}s`]:z[`${x}s`].filter(ee=>Nr(ee)!==a)}),x==="combo"&&!xc(b)){const ee=new Set(this.getAncestorsData(a,ll).map(Nr));z.nodes=z.nodes.filter(re=>!ee.has(Nr(re))),z.combos=z.combos.filter(re=>!ee.has(Nr(re))),z.edges=z.edges.filter(({source:re,target:ae})=>!ee.has(re)&&!ee.has(ae))}return Math.max(((y=b.style)===null||y===void 0?void 0:y.zIndex)||0,0,...Object.values(z).flat().map(ee=>{var re;return(((re=ee==null?void 0:ee.style)===null||re===void 0?void 0:re.zIndex)||0)+1}))}updateNodeLikeHierarchy(a){if(!this.enableUpdateNodeLikeHierarchy)return;const{model:y}=this;a.forEach(x=>{const b=Nr(x),z=bp(x);z!==void 0&&(y.hasTreeStructure(ll)||y.attachTreeStructure(ll),z===null&&this.refreshComboData(b),this.setParent(b,bp(x),ll));const ee=x.children||[];if(ee.length){y.hasTreeStructure(kc)||y.attachTreeStructure(kc);const re=ee.filter(ae=>y.hasNode(ae));re.forEach(ae=>this.setParent(ae,b,kc)),re.length!==ee.length&&this.updateNodeData([{id:b,children:re}])}})}preventUpdateNodeLikeHierarchy(a){this.enableUpdateNodeLikeHierarchy=!1,a(),this.enableUpdateNodeLikeHierarchy=!0}updateData(a){const{nodes:y,edges:x,combos:b}=a;this.batch(()=>{this.updateNodeData(y),this.updateComboData(b),this.updateEdgeData(x)}),this.computeZIndex(a,"update")}updateNodeData(a=[]){if(!a.length)return;const{model:y}=this;this.batch(()=>{const x=[];a.forEach(b=>{const z=Nr(b),ee=Cu(y.getNode(z));if(I0(ee,b))return;const re=Ch(ee,b);this.pushChange({value:re,original:ee,type:El.NodeUpdated}),y.mergeNodeData(z,re),x.push(re)}),this.updateNodeLikeHierarchy(x)}),this.computeZIndex({nodes:a},"update")}refreshData(){const{nodes:a,edges:y,combos:x}=this.getData();a.forEach(b=>{this.pushChange({value:b,original:b,type:El.NodeUpdated})}),y.forEach(b=>{this.pushChange({value:b,original:b,type:El.EdgeUpdated})}),x.forEach(b=>{this.pushChange({value:b,original:b,type:El.ComboUpdated})})}syncNodeLikeDatum(a){const{model:y}=this,x=Nr(a);if(!y.hasNode(x))return;const b=Cu(y.getNode(x)),z=Ch(b,a);y.mergeNodeData(x,z)}syncEdgeDatum(a){const{model:y}=this,x=Nr(a);if(!y.hasEdge(x))return;const b=Cu(y.getEdge(x)),z=Ch(b,a);y.mergeEdgeData(x,z)}updateEdgeData(a=[]){if(!a.length)return;const{model:y}=this;this.batch(()=>{a.forEach(x=>{const b=Nr(x),z=Cu(y.getEdge(b));if(I0(z,x))return;x.source&&z.source!==x.source&&y.updateEdgeSource(b,x.source),x.target&&z.target!==x.target&&y.updateEdgeTarget(b,x.target);const ee=Ch(z,x);this.pushChange({value:ee,original:z,type:El.EdgeUpdated}),y.mergeEdgeData(b,ee)})}),this.computeZIndex({edges:a},"update")}updateComboData(a=[]){if(!a.length)return;const{model:y}=this;y.batch(()=>{const x=[];a.forEach(b=>{const z=Nr(b),ee=Cu(y.getNode(z));if(I0(ee,b))return;const re=Ch(ee,b);this.pushChange({value:re,original:ee,type:El.ComboUpdated}),y.mergeNodeData(z,re),x.push(re)}),this.updateNodeLikeHierarchy(x)}),this.computeZIndex({combos:a},"update")}setParent(a,y,x,b=!0){if(a===y)return;const z=this.getNodeLikeDatum(a),ee=bp(z);if(ee!==y&&x===ll){const re={id:a,combo:y};this.isCombo(a)?this.syncNodeLikeDatum(re):this.syncNodeLikeDatum(re)}this.model.setParent(a,y,x),b&&x===ll&&BV([ee,y]).forEach(re=>{re!==void 0&&this.refreshComboData(re)})}refreshComboData(a){const y=this.getComboData([a])[0],x=this.getAncestorsData(a,ll);y&&this.pushChange({value:y,original:y,type:El.ComboUpdated}),x.forEach(b=>{this.pushChange({value:b,original:b,type:El.ComboUpdated})})}getElementPosition(a){const y=this.getElementDataById(a);return fu(y)}translateNodeLikeBy(a,y){this.isCombo(a)?this.translateComboBy(a,y):this.translateNodeBy(a,y)}translateNodeLikeTo(a,y){this.isCombo(a)?this.translateComboTo(a,y):this.translateNodeTo(a,y)}translateNodeBy(a,y){const x=this.getElementPosition(a),b=es(x,[...y,0].slice(0,3));this.translateNodeTo(a,b)}translateNodeTo(a,y){const[x=0,b=0,z=0]=y;this.preventUpdateNodeLikeHierarchy(()=>{this.updateNodeData([{id:a,style:{x,y:b,z}}])})}translateComboBy(a,y){const[x=0,b=0,z=0]=y;if([x,b,z].some(isNaN)||[x,b,z].every(ae=>ae===0))return;const ee=this.getComboData([a])[0];if(!ee)return;const re=new Set;yg(ee,ae=>{const se=Nr(ae);if(re.has(se))return;re.add(se);const[fe,me,Ae]=fu(ae),Le=Ch(ae,{style:{x:fe+x,y:me+b,z:Ae+z}});this.pushChange({value:Le,original:ae,type:this.isCombo(se)?El.ComboUpdated:El.NodeUpdated}),this.model.mergeNodeData(se,Le)},ae=>this.getChildrenData(Nr(ae)),"BT")}translateComboTo(a,y){var x;if(y.some(isNaN))return;const[b=0,z=0,ee=0]=y,re=(x=this.getComboData([a]))===null||x===void 0?void 0:x[0];if(!re)return;const[ae,se,fe]=fu(re),me=b-ae,Ae=z-se,Le=ee-fe;yg(re,ke=>{const ze=Nr(ke),[je,Ke,Ze]=fu(ke),Je=Ch(ke,{style:{x:je+me,y:Ke+Ae,z:Ze+Le}});this.pushChange({value:Je,original:ke,type:this.isCombo(ze)?El.ComboUpdated:El.NodeUpdated}),this.model.mergeNodeData(ze,Je)},ke=>this.getChildrenData(Nr(ke)),"BT")}removeData(a){const{nodes:y,edges:x,combos:b}=a;this.batch(()=>{this.removeEdgeData(x),this.removeNodeData(y),this.removeComboData(b),this.latestRemovedComboIds=new Set(b)})}removeNodeData(a=[]){a.length&&this.batch(()=>{a.forEach(y=>{this.removeEdgeData(this.getRelatedEdgesData(y).map(Nr)),this.pushChange({value:this.getNodeData([y])[0],type:El.NodeRemoved}),this.removeNodeLikeHierarchy(y)}),this.model.removeNodes(a)})}removeEdgeData(a=[]){a.length&&(a.forEach(y=>this.pushChange({value:this.getEdgeData([y])[0],type:El.EdgeRemoved})),this.model.removeEdges(a))}removeComboData(a=[]){a.length&&this.batch(()=>{a.forEach(y=>{this.pushChange({value:this.getComboData([y])[0],type:El.ComboRemoved}),this.removeNodeLikeHierarchy(y),this.comboIds.delete(y)}),this.model.removeNodes(a)})}removeNodeLikeHierarchy(a){if(this.model.hasTreeStructure(ll)){const y=bp(this.getNodeLikeDatum(a));this.setParent(a,void 0,ll,!1),this.model.getChildren(a,ll).forEach(x=>{const b=Cu(x),z=Nr(b);this.setParent(Nr(b),y,ll,!1);const ee=Ch(b,{id:Nr(b),combo:y});this.pushChange({value:ee,original:b,type:this.isCombo(z)?El.ComboUpdated:El.NodeUpdated}),this.model.mergeNodeData(Nr(b),ee)}),wo(y)||this.refreshComboData(y)}}getElementType(a){if(this.model.hasNode(a))return this.isCombo(a)?"combo":"node";if(this.model.hasEdge(a))return"edge";throw new Error(Tf(`Unknown element type of id: ${a}`))}destroy(){const{model:a}=this,y=a.getAllNodes(),x=a.getAllEdges();a.removeEdges(x.map(b=>b.id)),a.removeNodes(y.map(b=>b.id)),this.context={}}}var Xv=function(E,a,y,x){function b(z){return z instanceof y?z:new y(function(ee){ee(z)})}return new(y||(y=Promise))(function(z,ee){function re(fe){try{se(x.next(fe))}catch(me){ee(me)}}function ae(fe){try{se(x.throw(fe))}catch(me){ee(me)}}function se(fe){fe.done?z(fe.value):b(fe.value).then(re,ae)}se((x=x.apply(E,a||[])).next())})};class kV{constructor(a){this.elementMap={},this.shapeTypeMap={},this.paletteStyle={},this.defaultStyle={},this.stateStyle={},this.visibilityCache=new WeakMap,this.context=a}init(){this.initContainer()}initContainer(){if(!this.container||this.container.destroyed){const{canvas:a}=this.context;this.container=a.appendChild(new du({className:"elements"}))}}emit(a,y){y.silence||gu(this.context.graph,a)}forEachElementData(a){pg.forEach(y=>{const x=this.context.model.getElementsDataByType(y);a(y,x)})}getElementType(a,y){var x;const{options:b,graph:z}=this.context,ee=((x=b[a])===null||x===void 0?void 0:x.type)||y.type;return ee?typeof ee=="string"?ee:ee.call(z,y):a==="edge"?"line":"circle"}getTheme(a){return XP(this.context.options)[a]||{}}getThemeStyle(a){return this.getTheme(a).style||{}}getThemeStateStyle(a,y){const{state:x={}}=this.getTheme(a);return Object.assign({},...y.map(b=>x[b]||{}))}computePaletteStyle(){const{options:a}=this.context;this.paletteStyle={},this.forEachElementData((y,x)=>{var b,z;const ee=Object.assign({},lw((b=this.getTheme(y))===null||b===void 0?void 0:b.palette),lw((z=a[y])===null||z===void 0?void 0:z.palette));ee!=null&&ee.field&&Object.assign(this.paletteStyle,Z8(x,ee))})}getPaletteStyle(a,y){const x=this.paletteStyle[y];return x?a==="edge"?{stroke:x}:{fill:x}:{}}computeElementDefaultStyle(a,y){var x;const{options:b}=this.context,z=((x=b[a])===null||x===void 0?void 0:x.style)||{};"transform"in z&&Array.isArray(z.transform)&&(z.transform=[...z.transform]),this.defaultStyle[Nr(y.datum)]=sw(z,y)}computeElementsDefaultStyle(a){const{graph:y}=this.context;this.forEachElementData((x,b)=>{const z=b.length;for(let ee=0;eethis.getElementStateStyle(a,b,x)))}computeElementsStatesStyle(a){const{graph:y}=this.context;this.forEachElementData((x,b)=>{const z=b.length;for(let ee=0;eethis.elementMap[a])}getEdges(){return this.context.model.getEdgeData().map(a=>this.elementMap[Nr(a)])}getCombos(){return this.context.model.getComboData().map(({id:a})=>this.elementMap[a])}getElementComputedStyle(a,y){const x=Nr(y),b=this.getThemeStyle(a),z=this.getPaletteStyle(a,x),ee=y.style||{},re=this.getDefaultStyle(x),ae=this.getThemeStateStyle(a,this.getElementState(x)),se=this.getStateStyle(x),fe=Object.assign({},b,z,ee,re,ae,se);if(a==="combo"){const me=this.context.model.getChildrenData(x),Le=!!fe.collapsed?[]:me.map(Nr).filter(ke=>this.getElement(ke));Object.assign(fe,{childrenNode:Le,childrenData:me})}return fe}getDrawData(a){this.init();const y=this.computeChangesAndDrawData(a);if(!y)return null;const{type:x="draw",stage:b=x}=a;return this.markDestroyElement(y.drawData),this.computeStyle(b),{type:x,stage:b,data:y}}draw(a={animation:!0}){const y=this.getDrawData(a);if(!y)return;const{data:{drawData:{add:x,update:b,remove:z}}}=y;return this.destroyElements(z,a),this.createElements(x,a),this.updateElements(b,a),this.setAnimationTask(a,y)}preLayoutDraw(){return Xv(this,arguments,void 0,function*(a={animation:!0}){var y,x;const b=this.getDrawData(a);if(!b)return;const{data:{drawData:z}}=b;yield(x=(y=this.context.layout)===null||y===void 0?void 0:y.preLayout)===null||x===void 0?void 0:x.call(y,z);const{add:ee,update:re,remove:ae}=z;return this.destroyElements(ae,a),this.createElements(ee,a),this.updateElements(re,a),this.setAnimationTask(a,b)})}setAnimationTask(a,y){const{animation:x,silence:b}=a,{data:{dataChanges:z,drawData:ee},stage:re,type:ae}=y;return this.context.animation.animate(x,b?{}:{before:()=>this.emit(new ou(hi.BEFORE_DRAW,{dataChanges:z,animation:x,stage:re,render:ae==="render"}),a),beforeAnimate:se=>this.emit(new hd(hi.BEFORE_ANIMATE,Ec.DRAW,se,ee),a),afterAnimate:se=>this.emit(new hd(hi.AFTER_ANIMATE,Ec.DRAW,se,ee),a),after:()=>this.emit(new ou(hi.AFTER_DRAW,{dataChanges:z,animation:x,stage:re,render:ae==="render",firstRender:this.context.graph.rendered===!1}),a)})}computeChangesAndDrawData(a){const{model:y}=this.context,x=y.getChanges(),b=Lx(x);if(b.length===0)return null;const{NodeAdded:z=[],NodeUpdated:ee=[],NodeRemoved:re=[],EdgeAdded:ae=[],EdgeUpdated:se=[],EdgeRemoved:fe=[],ComboAdded:me=[],ComboUpdated:Ae=[],ComboRemoved:Le=[]}=up(b,Ke=>Ke.type),ke=Ke=>new Map(Ke.map(Ze=>{const Je=Ze.value;return[Nr(Je),Je]})),ze={add:{nodes:ke(z),edges:ke(ae),combos:ke(me)},update:{nodes:ke(ee),edges:ke(se),combos:ke(Ae)},remove:{nodes:ke(re),edges:ke(fe),combos:ke(Le)}},je=this.transformData(ze,a);return y.clearChanges(),{dataChanges:x,drawData:je}}transformData(a,y){const x=this.context.transform.getTransformInstance();return Object.values(x).reduce((b,z)=>z.beforeDraw(b,y),a)}createElement(a,y,x){var b;const z=Nr(y);if(this.getElement(z))return;const re=this.getElementType(a,y),ae=this.getElementComputedStyle(a,y),se=If(a,re);if(!se)return Ac.warn(`The element ${re} of ${a} is not registered.`);this.emit(new M0(hi.BEFORE_ELEMENT_CREATE,a,y),x);const fe=this.container.appendChild(new se({id:z,context:this.context,style:ae}));this.shapeTypeMap[z]=re,this.elementMap[z]=fe;const{stage:me="enter"}=x;(b=this.context.animation)===null||b===void 0||b.add({element:fe,elementType:a,stage:me,originalStyle:Object.assign({},fe.attributes),updatedStyle:ae},{after:()=>{var Ae;this.emit(new M0(hi.AFTER_ELEMENT_CREATE,a,y),x),(Ae=fe.onCreate)===null||Ae===void 0||Ae.call(fe)}})}createElements(a,y){const{nodes:x,edges:b,combos:z}=a;[["node",x],["combo",z],["edge",b]].forEach(([re,ae])=>{ae.forEach(se=>this.createElement(re,se,y))})}getUpdateStageStyle(a,y,x){const{stage:b="update"}=x;if(b==="translate")if(a==="node"||a==="combo"){const{style:{x:z=0,y:ee=0,z:re=0}={}}=y;return{x:z,y:ee,z:re}}else return{};return this.getElementComputedStyle(a,y)}updateElement(a,y,x){var b;const z=Nr(y),{stage:ee="update"}=x,re=this.getElement(z);if(!re)return()=>null;this.emit(new M0(hi.BEFORE_ELEMENT_UPDATE,a,y),x);const ae=this.getElementType(a,y),se=this.getUpdateStageStyle(a,y,x);this.shapeTypeMap[z]!==ae&&(re.destroy(),delete this.shapeTypeMap[z],delete this.elementMap[z],this.createElement(a,y,{animation:!1,silence:!0}));const fe=ee!=="visibility"?ee:se.visibility==="hidden"?"hide":"show";fe==="hide"&&delete se.visibility,(b=this.context.animation)===null||b===void 0||b.add({element:re,elementType:a,stage:fe,originalStyle:Object.assign({},re.attributes),updatedStyle:se},{before:()=>{const me=this.elementMap[z];ee!=="collapse"&&$A(me,se),ee==="visibility"&&(IV(me,"opacity")||DV(me,"opacity"),this.visibilityCache.set(me,fe==="show"?"visible":"hidden"),fe==="show"&&vg(me,"visible"))},after:()=>{var me;const Ae=this.elementMap[z];ee==="collapse"&&$A(Ae,se),fe==="hide"&&vg(Ae,this.visibilityCache.get(Ae)),this.emit(new M0(hi.AFTER_ELEMENT_UPDATE,a,y),x),(me=Ae.onUpdate)===null||me===void 0||me.call(Ae)}})}updateElements(a,y){const{nodes:x,edges:b,combos:z}=a;[["node",x],["combo",z],["edge",b]].forEach(([re,ae])=>{ae.forEach(se=>this.updateElement(re,se,y))})}markDestroyElement(a){Object.values(a.remove).forEach(y=>{y.forEach(x=>{const b=Nr(x),z=this.getElement(b);z&&ik(z)})})}destroyElement(a,y,x){var b;const{stage:z="exit"}=x,ee=Nr(y),re=this.elementMap[ee];if(!re)return()=>null;this.emit(new M0(hi.BEFORE_ELEMENT_DESTROY,a,y),x),(b=this.context.animation)===null||b===void 0||b.add({element:re,elementType:a,stage:z,originalStyle:Object.assign({},re.attributes),updatedStyle:{}},{after:()=>{var ae;this.clearElement(ee),re.destroy(),(ae=re.onDestroy)===null||ae===void 0||ae.call(re),this.emit(new M0(hi.AFTER_ELEMENT_DESTROY,a,y),x)}})}destroyElements(a,y){const{nodes:x,edges:b,combos:z}=a;[["combo",z],["edge",b],["node",x]].forEach(([re,ae])=>{ae.forEach(se=>this.destroyElement(re,se,y))})}clearElement(a){delete this.paletteStyle[a],delete this.defaultStyle[a],delete 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paddingOffset(){const[a,y,x,b]=this.padding,[z,ee,re]=[(b-y)/2,(a-x)/2,0];return[z,ee,re]}constructor(a){this.landmarkCounter=0,this.context=a;const[y,x]=this.paddingOffset,{zoom:b,rotation:z,x:ee=y,y:re=x}=a.options;this.transform({mode:"absolute",scale:b,translate:[ee,re],rotate:z},!1)}get camera(){const{canvas:a}=this.context;return new Proxy(a.getCamera(),{get:(y,x)=>{const z=Object.entries(a.getLayers()).filter(([re])=>!["main"].includes(re)).map(([,re])=>re.getCamera()),ee=y[x];if(typeof ee=="function")return(...re)=>{const ae=ee.apply(y,re);return z.forEach(se=>{se[x].apply(se,re)}),ae}}})}createLandmark(a){return this.camera.createLandmark(`landmark-${this.landmarkCounter++}`,a)}getAnimation(a){const y=JP(this.context.options,a);return y?xg(Object.assign({},y),["easing","duration"]):!1}getCanvasSize(){const{canvas:a}=this.context,{width:y=0,height:x=0}=a.getConfig();return[y,x]}getCanvasCenter(){const{canvas:a}=this.context,{width:y=0,height:x=0}=a.getConfig();return[y/2,x/2,0]}getViewportCenter(){const[a,y]=this.camera.getPosition();return[a,y,0]}getGraphCenter(){return this.context.graph.getViewportByCanvas(this.getCanvasCenter())}getZoom(){return this.camera.getZoom()}getRotation(){return this.camera.getRoll()}getTranslateOptions(a){const{camera:y}=this,{mode:x,translate:b=[]}=a,z=this.getZoom(),ee=y.getPosition(),re=y.getFocalPoint(),[ae,se]=this.getCanvasCenter(),[fe=0,me=0,Ae=0]=b,Le=Nd([-fe,-me,-Ae],z);return x==="relative"?{position:es(ee,Le),focalPoint:es(re,Le)}:{position:es([ae,se,ee[2]],Le),focalPoint:es([ae,se,re[2]],Le)}}getRotateOptions(a){const{mode:y,rotate:x=0}=a;return{roll:y==="relative"?this.camera.getRoll()+x:x}}getZoomOptions(a){const{zoomRange:y}=this.context.options,x=this.camera.getZoom(),{mode:b,scale:z=1}=a;return Dl(b==="relative"?x*z:z,...y)}transform(a,y){return Jv(this,void 0,void 0,function*(){const{graph:x}=this.context,{translate:b,rotate:z,scale:ee,origin:re}=a;this.cancelAnimation();const ae=this.getAnimation(y);if(gu(x,new p1(hi.BEFORE_TRANSFORM,a)),!z&&ee&&!b&&re&&!ae){this.camera.setZoomByViewportPoint(this.getZoomOptions(a),re),gu(x,new p1(hi.AFTER_TRANSFORM,a));return}const se={};if(b&&Object.assign(se,this.getTranslateOptions(a)),ji(z)&&Object.assign(se,this.getRotateOptions(a)),ji(ee)&&Object.assign(se,{zoom:this.getZoomOptions(a)}),ae)return gu(x,new hd(hi.BEFORE_ANIMATE,Ec.TRANSFORM,null,a)),new Promise(fe=>{this.transformResolver=fe,this.camera.gotoLandmark(this.createLandmark(se),Object.assign(Object.assign({},ae),{onfinish:()=>{gu(x,new hd(hi.AFTER_ANIMATE,Ec.TRANSFORM,null,a)),gu(x,new p1(hi.AFTER_TRANSFORM,a)),this.transformResolver=void 0,fe()}}))});this.camera.gotoLandmark(this.createLandmark(se),{duration:0}),gu(x,new p1(hi.AFTER_TRANSFORM,a))})}fitView(a,y){return Jv(this,void 0,void 0,function*(){const[x,b,z,ee]=this.padding,{when:re="always",direction:ae="both"}=a||{},[se,fe]=this.context.canvas.getSize(),me=se-ee-b,Ae=fe-x-z,Le=this.context.canvas.getBounds(),ke=this.getBBoxInViewport(Le),[ze,je]=ih(ke),Ke=ae==="x"&&ze>=me||ae==="y"&&je>=Ae||ae==="both"&&ze>=me&&je>=Ae;if(re==="overflow"&&!Ke)return yield this.fitCenter({animation:y});const Ze=me/ze,Je=Ae/je,tt=ae==="x"?Ze:ae==="y"?Je:Math.min(Ze,Je),it=this.getAnimation(y);yield this.transform({mode:"relative",scale:tt,translate:es(il(this.getCanvasCenter(),this.getBBoxInViewport(Le).center),Nd(this.paddingOffset,tt))},it)})}fitCenter(a){return Jv(this,void 0,void 0,function*(){const y=this.context.canvas.getBounds();yield this.focus(y,a)})}focusElements(a){return Jv(this,arguments,void 0,function*(y,x={}){const{element:b}=this.context;if(!b)return;const z=re=>x.shapes?re.getShape(x.shapes).getRenderBounds():re.getRenderBounds(),ee=dv(y.map(re=>z(b.getElement(re))));yield this.focus(ee,x)})}focus(a,y){return Jv(this,void 0,void 0,function*(){const x=this.context.graph.getViewportByCanvas(a.center),b=y.position||this.getCanvasCenter(),z=il(b,x);yield this.transform({mode:"relative",translate:es(z,this.paddingOffset)},y.animation)})}getBBoxInViewport(a){const{min:y,max:x}=a,{graph:b}=this.context,[z,ee]=b.getViewportByCanvas(y),[re,ae]=b.getViewportByCanvas(x),se=new cl;return se.setMinMax([z,ee,0],[re,ae,0]),se}isInViewport(a,y=!1,x=0){const{graph:b}=this.context,z=this.getCanvasSize(),[ee,re]=b.getCanvasByViewport([0,0]),[ae,se]=b.getCanvasByViewport(z);let fe=new cl;return fe.setMinMax([ee,re,0],[ae,se,0]),x&&(fe=sh(fe,x)),u0(a)?Od(a,fe):y?_R(a,fe):fe.intersects(a)}cancelAnimation(){var a,y;!((a=this.camera.landmarks)===null||a===void 0)&&a.length&&this.camera.cancelLandmarkAnimation(),(y=this.transformResolver)===null||y===void 0||y.call(this)}}var fl=function(E,a,y,x){function b(z){return z instanceof y?z:new y(function(ee){ee(z)})}return new(y||(y=Promise))(function(z,ee){function re(fe){try{se(x.next(fe))}catch(me){ee(me)}}function ae(fe){try{se(x.throw(fe))}catch(me){ee(me)}}function se(fe){fe.done?z(fe.value):b(fe.value).then(re,ae)}se((x=x.apply(E,a||[])).next())})};class L0 extends oy{constructor(a){var y;super(),this.options={},this.rendered=!1,this.destroyed=!1,this.context={model:new FV},this.isCollapsingExpanding=!1,this.onResize=Mv(()=>{this.resize()},300),this._setOptions(Object.assign({},L0.defaultOptions,a),!0),this.context.graph=this,this.options.autoResize&&((y=globalThis.addEventListener)===null||y===void 0||y.call(globalThis,"resize",this.onResize))}getOptions(){return this.options}setOptions(a){this._setOptions(a,!1)}_setOptions(a,y){if(this.updateCanvas(a),Object.assign(this.options,qV(a)),y){const{data:Ae}=a;Ae&&this.addData(Ae);return}const{behaviors:x,combo:b,data:z,edge:ee,layout:re,node:ae,plugins:se,theme:fe,transforms:me}=a;x&&this.setBehaviors(x),z&&this.setData(z),ae&&this.setNode(ae),ee&&this.setEdge(ee),b&&this.setCombo(b),re&&this.setLayout(re),fe&&this.setTheme(fe),se&&this.setPlugins(se),me&&this.setTransforms(me)}getSize(){return this.context.canvas?this.context.canvas.getSize():[this.options.width||0,this.options.height||0]}setSize(a,y){a&&(this.options.width=a),y&&(this.options.height=y),this.resize(a,y)}setZoomRange(a){this.options.zoomRange=a}getZoomRange(){return this.options.zoomRange}setNode(a){this.options.node=a,this.context.model.refreshData()}setEdge(a){this.options.edge=a,this.context.model.refreshData()}setCombo(a){this.options.combo=a,this.context.model.refreshData()}getTheme(){return this.options.theme}setTheme(a){this.options.theme=qi(a)?a(this.getTheme()):a}setLayout(a){this.options.layout=qi(a)?a(this.getLayout()):a}getLayout(){return this.options.layout}setBehaviors(a){var y;this.options.behaviors=qi(a)?a(this.getBehaviors()):a,(y=this.context.behavior)===null||y===void 0||y.setBehaviors(this.options.behaviors)}updateBehavior(a){this.setBehaviors(y=>y.map(x=>typeof x=="object"&&x.key===a.key?Object.assign(Object.assign({},x),a):x))}getBehaviors(){return this.options.behaviors||[]}setPlugins(a){var y;this.options.plugins=qi(a)?a(this.getPlugins()):a,(y=this.context.plugin)===null||y===void 0||y.setPlugins(this.options.plugins)}updatePlugin(a){this.setPlugins(y=>y.map(x=>typeof x=="object"&&x.key===a.key?Object.assign(Object.assign({},x),a):x))}getPlugins(){return this.options.plugins||[]}getPluginInstance(a){return this.context.plugin.getPluginInstance(a)}setTransforms(a){var y;this.options.transforms=qi(a)?a(this.getTransforms()):a,(y=this.context.transform)===null||y===void 0||y.setTransforms(this.options.transforms)}updateTransform(a){this.setTransforms(y=>y.map(x=>typeof x=="object"&&x.key===a.key?Object.assign(Object.assign({},x),a):x)),this.context.model.refreshData()}getTransforms(){return this.options.transforms||[]}getData(){return this.context.model.getData()}getElementData(a){return Array.isArray(a)?a.map(y=>this.context.model.getElementDataById(y)):this.context.model.getElementDataById(a)}getNodeData(a){return a===void 0?this.context.model.getNodeData():Array.isArray(a)?this.context.model.getNodeData(a):this.context.model.getNodeLikeDatum(a)}getEdgeData(a){return a===void 0?this.context.model.getEdgeData():Array.isArray(a)?this.context.model.getEdgeData(a):this.context.model.getEdgeDatum(a)}getComboData(a){return a===void 0?this.context.model.getComboData():Array.isArray(a)?this.context.model.getComboData(a):this.context.model.getNodeLikeDatum(a)}setData(a){this.context.model.setData(qi(a)?a(this.getData()):a)}addData(a){this.context.model.addData(qi(a)?a(this.getData()):a)}addNodeData(a){this.context.model.addNodeData(qi(a)?a(this.getNodeData()):a)}addEdgeData(a){this.context.model.addEdgeData(qi(a)?a(this.getEdgeData()):a)}addComboData(a){this.context.model.addComboData(qi(a)?a(this.getComboData()):a)}addChildrenData(a,y){this.context.model.addChildrenData(a,y)}updateData(a){this.context.model.updateData(qi(a)?a(this.getData()):a)}updateNodeData(a){this.context.model.updateNodeData(qi(a)?a(this.getNodeData()):a)}updateEdgeData(a){this.context.model.updateEdgeData(qi(a)?a(this.getEdgeData()):a)}updateComboData(a){this.context.model.updateComboData(qi(a)?a(this.getComboData()):a)}removeData(a){this.context.model.removeData(qi(a)?a(this.getData()):a)}removeNodeData(a){this.context.model.removeNodeData(qi(a)?a(this.getNodeData()):a)}removeEdgeData(a){this.context.model.removeEdgeData(qi(a)?a(this.getEdgeData()):a)}removeComboData(a){this.context.model.removeComboData(qi(a)?a(this.getComboData()):a)}getElementType(a){return this.context.model.getElementType(a)}getRelatedEdgesData(a,y="both"){return this.context.model.getRelatedEdgesData(a,y)}getNeighborNodesData(a){return this.context.model.getNeighborNodesData(a)}getAncestorsData(a,y){return this.context.model.getAncestorsData(a,y)}getParentData(a,y){return this.context.model.getParentData(a,y)}getChildrenData(a){return this.context.model.getChildrenData(a)}getDescendantsData(a){return this.context.model.getDescendantsData(a)}getElementDataByState(a,y){return this.context.model.getElementDataByState(a,y)}initCanvas(){return fl(this,void 0,void 0,function*(){var a;if(this.context.canvas)return yield this.context.canvas.ready;const{container:y="container",width:x,height:b,renderer:z,cursor:ee,background:re,canvas:ae,devicePixelRatio:se=(a=globalThis.devicePixelRatio)!==null&&a!==void 0?a:1}=this.options;if(y instanceof h3)this.context.canvas=y,ee&&y.setCursor(ee),z&&y.setRenderer(z),yield y.ready;else{const fe=Ws(y)?document.getElementById(y):y,me=m3(fe);this.emit(hi.BEFORE_CANVAS_INIT,{container:fe,width:x,height:b});const Ae=Object.assign(Object.assign({},ae),{container:fe,width:x||me[0],height:b||me[1],background:re,renderer:z,cursor:ee,devicePixelRatio:se}),Le=new h3(Ae);this.context.canvas=Le,yield Le.ready,this.emit(hi.AFTER_CANVAS_INIT,{canvas:Le})}})}updateCanvas(a){var y,x;const{renderer:b,cursor:z,height:ee,width:re}=a,ae=this.context.canvas;ae&&(b&&(this.emit(hi.BEFORE_RENDERER_CHANGE,{renderer:this.options.renderer}),ae.setRenderer(b),this.emit(hi.AFTER_RENDERER_CHANGE,{renderer:b})),z&&ae.setCursor(z),(ji(re)||ji(ee))&&this.setSize((y=re!=null?re:this.options.width)!==null&&y!==void 0?y:0,(x=ee!=null?ee:this.options.height)!==null&&x!==void 0?x:0))}initRuntime(){this.context.options=this.options,this.context.batch||(this.context.batch=new OV(this.context)),this.context.plugin||(this.context.plugin=new eK(this.context)),this.context.viewport||(this.context.viewport=new nK(this.context)),this.context.transform||(this.context.transform=new tK(this.context)),this.context.element||(this.context.element=new kV(this.context)),this.context.animation||(this.context.animation=new TV(this.context)),this.context.layout||(this.context.layout=new JV(this.context)),this.context.behavior||(this.context.behavior=new LV(this.context))}prepare(){return fl(this,void 0,void 0,function*(){if(yield Promise.resolve(),this.destroyed){console.error(Tf("The graph instance has been destroyed"));return}yield this.initCanvas(),this.initRuntime()})}render(){return fl(this,void 0,void 0,function*(){if(yield this.prepare(),gu(this,new ou(hi.BEFORE_RENDER)),this.options.layout)if(!this.rendered&&mk(this.options.layout)){const a=yield this.context.element.preLayoutDraw({type:"render"});yield Promise.all([a==null?void 0:a.finished,this.autoFit()])}else{const a=this.context.element.draw({type:"render"});yield Promise.all([a==null?void 0:a.finished,this.context.layout.postLayout()]),yield this.autoFit()}else{const a=this.context.element.draw({type:"render"});yield Promise.all([a==null?void 0:a.finished,this.autoFit()])}this.rendered=!0,gu(this,new ou(hi.AFTER_RENDER))})}draw(){return fl(this,void 0,void 0,function*(){var a;yield this.prepare(),yield(a=this.context.element.draw())===null||a===void 0?void 0:a.finished})}layout(a){return fl(this,void 0,void 0,function*(){yield this.context.layout.postLayout(a)})}stopLayout(){this.context.layout.stopLayout()}clear(){return fl(this,void 0,void 0,function*(){const{model:a,element:y}=this.context;a.setData({}),a.clearChanges(),y==null||y.clear()})}destroy(){var a;gu(this,new ou(hi.BEFORE_DESTROY));const{layout:y,animation:x,element:b,model:z,canvas:ee,behavior:re,plugin:ae}=this.context;ae==null||ae.destroy(),re==null||re.destroy(),y==null||y.destroy(),x==null||x.destroy(),b==null||b.destroy(),z.destroy(),ee==null||ee.destroy(),this.options={},this.context={},this.off(),(a=globalThis.removeEventListener)===null||a===void 0||a.call(globalThis,"resize",this.onResize),this.destroyed=!0,gu(this,new ou(hi.AFTER_DESTROY))}getCanvas(){return this.context.canvas}resize(a,y){var x;const b=m3((x=this.context.canvas)===null||x===void 0?void 0:x.getContainer()),z=[a||b[0],y||b[1]];if(!this.context.canvas)return;const ee=this.context.canvas.getSize();Zl(z,ee)||(gu(this,new ou(hi.BEFORE_SIZE_CHANGE,{size:z})),this.context.canvas.resize(...z),gu(this,new ou(hi.AFTER_SIZE_CHANGE,{size:z})))}fitView(a,y){return fl(this,void 0,void 0,function*(){var x;yield(x=this.context.viewport)===null||x===void 0?void 0:x.fitView(a,y)})}fitCenter(a){return fl(this,void 0,void 0,function*(){var y;yield(y=this.context.viewport)===null||y===void 0?void 0:y.fitCenter({animation:a})})}autoFit(){return fl(this,void 0,void 0,function*(){const{autoFit:a}=this.context.options;if(a)if(Ws(a))a==="view"?yield this.fitView():a==="center"&&(yield this.fitCenter());else{const{type:y,animation:x}=a;y==="view"?yield this.fitView(a.options,x):y==="center"&&(yield this.fitCenter(x))}})}focusElement(a,y){return fl(this,void 0,void 0,function*(){var x;yield(x=this.context.viewport)===null||x===void 0?void 0:x.focusElements(Array.isArray(a)?a:[a],{animation:y})})}zoomBy(a,y,x){return fl(this,void 0,void 0,function*(){yield this.context.viewport.transform({mode:"relative",scale:a,origin:x},y)})}zoomTo(a,y,x){return fl(this,void 0,void 0,function*(){yield this.context.viewport.transform({mode:"absolute",scale:a,origin:x},y)})}getZoom(){return this.context.viewport.getZoom()}rotateBy(a,y,x){return fl(this,void 0,void 0,function*(){yield this.context.viewport.transform({mode:"relative",rotate:a,origin:x},y)})}rotateTo(a,y,x){return fl(this,void 0,void 0,function*(){yield this.context.viewport.transform({mode:"absolute",rotate:a,origin:x},y)})}getRotation(){return this.context.viewport.getRotation()}translateBy(a,y){return fl(this,void 0,void 0,function*(){yield this.context.viewport.transform({mode:"relative",translate:a},y)})}translateTo(a,y){return fl(this,void 0,void 0,function*(){yield this.context.viewport.transform({mode:"absolute",translate:a},y)})}getPosition(){return il([0,0],this.getCanvasByViewport([0,0]))}translateElementBy(a,y){return fl(this,arguments,void 0,function*(x,b,z=!0){var ee,re;const[ae,se]=Vl(x)?[x,(ee=b)!==null&&ee!==void 0?ee:!0]:[{[x]:b},z];Object.entries(ae).forEach(([fe,me])=>this.context.model.translateNodeLikeBy(fe,me)),yield(re=this.context.element.draw({animation:se,stage:"translate"}))===null||re===void 0?void 0:re.finished})}translateElementTo(a,y){return fl(this,arguments,void 0,function*(x,b,z=!0){var ee,re;const[ae,se]=Vl(x)?[x,(ee=b)!==null&&ee!==void 0?ee:!0]:[{[x]:b},z];Object.entries(ae).forEach(([fe,me])=>this.context.model.translateNodeLikeTo(fe,me)),yield(re=this.context.element.draw({animation:se,stage:"translate"}))===null||re===void 0?void 0:re.finished})}getElementPosition(a){return this.context.model.getElementPosition(a)}getElementRenderStyle(a){return wx(this.context.element.getElement(a).attributes,["context"])}setElementVisibility(a,y){return fl(this,arguments,void 0,function*(x,b,z=!0){var ee,re;const[ae,se]=Vl(x)?[x,(ee=b)!==null&&ee!==void 0?ee:!0]:[{[x]:b},z],fe={nodes:[],edges:[],combos:[]};Object.entries(ae).forEach(([Le,ke])=>{const ze=this.getElementType(Le);fe[`${ze}s`].push({id:Le,style:{visibility:ke}})});const{model:me,element:Ae}=this.context;me.preventUpdateNodeLikeHierarchy(()=>{me.updateData(fe)}),yield(re=Ae.draw({animation:se,stage:"visibility"}))===null||re===void 0?void 0:re.finished})}showElement(a,y){return fl(this,void 0,void 0,function*(){const x=Array.isArray(a)?a:[a];yield this.setElementVisibility(Object.fromEntries(x.map(b=>[b,"visible"])),y)})}hideElement(a,y){return fl(this,void 0,void 0,function*(){const x=Array.isArray(a)?a:[a];yield this.setElementVisibility(Object.fromEntries(x.map(b=>[b,"hidden"])),y)})}getElementVisibility(a){var y,x;const b=this.context.element.getElement(a);return(x=(y=b==null?void 0:b.style)===null||y===void 0?void 0:y.visibility)!==null&&x!==void 0?x:"visible"}setElementZIndex(a,y){return fl(this,void 0,void 0,function*(){var x;const b={nodes:[],edges:[],combos:[]},z=Vl(a)?a:{[a]:y};Object.entries(z).forEach(([ae,se])=>{const fe=this.getElementType(ae);b[`${fe}s`].push({id:ae,style:{zIndex:se}})});const{model:ee,element:re}=this.context;ee.preventUpdateNodeLikeHierarchy(()=>ee.updateData(b)),yield(x=re.draw({animation:!1,stage:"zIndex"}))===null||x===void 0?void 0:x.finished})}frontElement(a){return fl(this,void 0,void 0,function*(){const y=Array.isArray(a)?a:[a],{model:x}=this.context,b={};y.map(z=>{const ee=x.getFrontZIndex(z);if(x.getElementType(z)==="combo"){const ae=x.getAncestorsData(z,ll).at(-1)||this.getComboData(z),se=[ae,...x.getDescendantsData(Nr(ae))],fe=ee-p3(ae);se.forEach(Ae=>{b[Nr(Ae)]=this.getElementZIndex(Nr(Ae))+fe});const{internal:me}=QA(se.map(Nr),Ae=>x.getRelatedEdgesData(Ae));me.forEach(Ae=>{const Le=Nr(Ae);b[Le]=this.getElementZIndex(Le)+fe})}else b[z]=ee}),yield this.setElementZIndex(b)})}getElementZIndex(a){return p3(this.context.model.getElementDataById(a))}setElementState(a,y){return fl(this,arguments,void 0,function*(x,b,z=!0){var ee,re;const[ae,se]=Vl(x)?[x,(ee=b)!==null&&ee!==void 0?ee:!0]:[{[x]:b},z],fe=Ae=>Ae?Array.isArray(Ae)?Ae:[Ae]:[],me={nodes:[],edges:[],combos:[]};Object.entries(ae).forEach(([Ae,Le])=>{const ke=this.getElementType(Ae);me[`${ke}s`].push({id:Ae,states:fe(Le)})}),this.updateData(me),yield(re=this.context.element.draw({animation:se,stage:"state"}))===null||re===void 0?void 0:re.finished})}getElementState(a){return this.context.model.getElementState(a)}getElementRenderBounds(a){return this.context.element.getElement(a).getRenderBounds()}collapseElement(a){return fl(this,arguments,void 0,function*(y,x=!0){const{model:b,element:z}=this.context;if(xc(b.getNodeLikeData([y])[0])||this.isCollapsingExpanding)return;typeof x=="boolean"&&(x={animation:x,align:!0});const ee=b.getElementType(y);yield this.frontElement(y),this.isCollapsingExpanding=!0,b.updateData(ee==="node"?{nodes:[{id:y,style:{collapsed:!0}}]}:{combos:[{id:y,style:{collapsed:!0}}]}),ee==="node"?yield z.collapseNode(y,x):ee==="combo"&&(yield z.collapseCombo(y,!!x.animation)),this.isCollapsingExpanding=!1})}expandElement(a){return fl(this,arguments,void 0,function*(y,x=!0){const{model:b,element:z}=this.context;if(!xc(b.getNodeLikeData([y])[0])||this.isCollapsingExpanding)return;typeof x=="boolean"&&(x={animation:x,align:!0});const ee=b.getElementType(y);this.isCollapsingExpanding=!0,b.updateData(ee==="node"?{nodes:[{id:y,style:{collapsed:!1}}]}:{combos:[{id:y,style:{collapsed:!1}}]}),ee==="node"?yield z.expandNode(y,x):ee==="combo"&&(yield z.expandCombo(y,!!x.animation)),this.isCollapsingExpanding=!1})}setElementCollapsibility(a,y){const x=this.getElementType(a);x==="node"?this.updateNodeData([{id:a,style:{collapsed:y}}]):x==="combo"&&this.updateComboData([{id:a,style:{collapsed:y}}])}toDataURL(){return fl(this,arguments,void 0,function*(a={}){return this.context.canvas.toDataURL(a)})}getCanvasByViewport(a){return this.context.canvas.getCanvasByViewport(a)}getViewportByCanvas(a){return this.context.canvas.getViewportByCanvas(a)}getClientByCanvas(a){return this.context.canvas.getClientByCanvas(a)}getCanvasByClient(a){return this.context.canvas.getCanvasByClient(a)}getViewportCenter(){return this.context.viewport.getViewportCenter()}getCanvasCenter(){return this.context.viewport.getCanvasCenter()}on(a,y,x){return 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",jK="data:image/png;base64,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",gZ="data:image/png;base64,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We=Me.total;this._internalAbort(),We!=null&We!==0&&(this._totalLength=We)}if(this._range.to===-1?this._contentLength=this._totalLength-this._range.from:this._contentLength=this._range.to-this._range.from+1,Te){this._openSubRange();return}this._onContentLengthKnown&&this._onContentLengthKnown(this._contentLength)}let Oe=Me.loaded-this._lastTimeLoaded;this._lastTimeLoaded=Me.loaded,this._speedSampler.addBytes(Oe)}_normalizeSpeed(Me){let Oe=this._chunkSizeKBList,Te=Oe.length-1,We=0,Ye=0,Et=Te;if(Me=Oe[We]&&Me=3&&(Oe=this._speedSampler.currentKBps)),Oe!==0){let Et=this._normalizeSpeed(Oe);this._currentSpeedNormalized!==Et&&(this._currentSpeedNormalized=Et,this._currentChunkSizeKB=Et)}let Te=Me.target.response,We=this._range.from+this._receivedLength;this._receivedLength+=Te.byteLength;let Ye=!1;this._contentLength!=null&&this._receivedLength0&&this._receivedLength{this._dispatchArrayBuffer(Oe.result)},Oe.readAsArrayBuffer(Me.data)}else{this._status=Se.kError;let Oe={code:-1,msg:"Unsupported WebSocket message type: "+Me.data.constructor.name};if(this._onError)this._onError(ce.EXCEPTION,Oe);else throw new be(Oe.msg)}}_dispatchArrayBuffer(Me){let Oe=Me,Te=this._receivedLength;this._receivedLength+=Oe.byteLength,this._onDataArrival&&this._onDataArrival(Oe,Te,this._receivedLength)}_onWebSocketError(Me){this._status=Se.kError;let Oe={code:Me.code,msg:Me.message};if(this._onError)this._onError(ce.EXCEPTION,Oe);else throw new be(Oe.msg)}}var Ue=Ne;class Ge{constructor(Me){this._zeroStart=Me||!1}getConfig(Me,Oe){let Te={};if(Oe.from!==0||Oe.to!==-1){let We;Oe.to!==-1?We=`bytes=${Oe.from.toString()}-${Oe.to.toString()}`:We=`bytes=${Oe.from.toString()}-`,Te.Range=We}else this._zeroStart&&(Te.Range="bytes=0-");return{url:Me,headers:Te}}removeURLParameters(Me){return Me}}var Xe=Ge;class Qe{constructor(Me,Oe){this._startName=Me,this._endName=Oe}getConfig(Me,Oe){let Te=Me;if(Oe.from!==0||Oe.to!==-1){let We=!0;Te.indexOf("?")===-1&&(Te+="?",We=!1),We&&(Te+="&"),Te+=`${this._startName}=${Oe.from.toString()}`,Oe.to!==-1&&(Te+=`&${this._endName}=${Oe.to.toString()}`)}return{url:Te,headers:{}}}removeURLParameters(Me){let Oe=Me.split("?")[0],Te,We=Me.indexOf("?");We!==-1&&(Te=Me.substring(We+1));let Ye="";if(Te!=null&&Te.length>0){let Et=Te.split("&");for(let Pt=0;Pt0;qt[0]!==this._startName&&qt[0]!==this._endName&&(Vt&&(Ye+="&"),Ye+=Et[Pt])}}return Ye.length===0?Oe:Oe+"?"+Ye}}var nt=Qe;class $e{constructor(Me,Oe,Te){this.TAG="IOController",this._config=Oe,this._extraData=Te,this._stashInitialSize=1024*384,Oe.stashInitialSize!=null&&Oe.stashInitialSize>0&&(this._stashInitialSize=Oe.stashInitialSize),this._stashUsed=0,this._stashSize=this._stashInitialSize,this._bufferSize=1024*1024*3,this._stashBuffer=new ArrayBuffer(this._bufferSize),this._stashByteStart=0,this._enableStash=!0,Oe.enableStashBuffer===!1&&(this._enableStash=!1),this._loader=null,this._loaderClass=null,this._seekHandler=null,this._dataSource=Me,this._isWebSocketURL=/wss?:\/\/(.+?)/.test(Me.url),this._refTotalLength=Me.filesize?Me.filesize:null,this._totalLength=this._refTotalLength,this._fullRequestFlag=!1,this._currentRange=null,this._redirectedURL=null,this._speedNormalized=0,this._speedSampler=new Ee,this._speedNormalizeList=[64,128,256,384,512,768,1024,1536,2048,3072,4096],this._isEarlyEofReconnecting=!1,this._paused=!1,this._resumeFrom=0,this._onDataArrival=null,this._onSeeked=null,this._onError=null,this._onComplete=null,this._onRedirect=null,this._onRecoveredEarlyEof=null,this._selectSeekHandler(),this._selectLoader(),this._createLoader()}destroy(){this._loader.isWorking()&&this._loader.abort(),this._loader.destroy(),this._loader=null,this._loaderClass=null,this._dataSource=null,this._stashBuffer=null,this._stashUsed=this._stashSize=this._bufferSize=this._stashByteStart=0,this._currentRange=null,this._speedSampler=null,this._isEarlyEofReconnecting=!1,this._onDataArrival=null,this._onSeeked=null,this._onError=null,this._onComplete=null,this._onRedirect=null,this._onRecoveredEarlyEof=null,this._extraData=null}isWorking(){return this._loader&&this._loader.isWorking()&&!this._paused}isPaused(){return this._paused}get status(){return this._loader.status}get extraData(){return this._extraData}set extraData(Me){this._extraData=Me}get onDataArrival(){return this._onDataArrival}set onDataArrival(Me){this._onDataArrival=Me}get onSeeked(){return this._onSeeked}set onSeeked(Me){this._onSeeked=Me}get onError(){return this._onError}set onError(Me){this._onError=Me}get onComplete(){return this._onComplete}set onComplete(Me){this._onComplete=Me}get onRedirect(){return this._onRedirect}set onRedirect(Me){this._onRedirect=Me}get onRecoveredEarlyEof(){return this._onRecoveredEarlyEof}set onRecoveredEarlyEof(Me){this._onRecoveredEarlyEof=Me}get currentURL(){return this._dataSource.url}get hasRedirect(){return this._redirectedURL!=null||this._dataSource.redirectedURL!=null}get currentRedirectedURL(){return this._redirectedURL||this._dataSource.redirectedURL}get currentSpeed(){return this._loaderClass===Re?this._loader.currentSpeed:this._speedSampler.lastSecondKBps}get loaderType(){return this._loader.type}_selectSeekHandler(){let Me=this._config;if(Me.seekType==="range")this._seekHandler=new Xe(this._config.rangeLoadZeroStart);else if(Me.seekType==="param"){let Oe=Me.seekParamStart||"bstart",Te=Me.seekParamEnd||"bend";this._seekHandler=new nt(Oe,Te)}else if(Me.seekType==="custom"){if(typeof Me.customSeekHandler!="function")throw new pe("Custom seekType specified in config but invalid customSeekHandler!");this._seekHandler=new Me.customSeekHandler}else throw new pe(`Invalid seekType in config: ${Me.seekType}`)}_selectLoader(){if(this._config.customLoader!=null)this._loaderClass=this._config.customLoader;else if(this._isWebSocketURL)this._loaderClass=Ue;else if(he.isSupported())this._loaderClass=he;else if(ue.isSupported())this._loaderClass=ue;else if(Re.isSupported())this._loaderClass=Re;else throw new be("Your browser doesn't support xhr with arraybuffer responseType!")}_createLoader(){this._loader=new this._loaderClass(this._seekHandler,this._config),this._loader.needStashBuffer===!1&&(this._enableStash=!1),this._loader.onContentLengthKnown=this._onContentLengthKnown.bind(this),this._loader.onURLRedirect=this._onURLRedirect.bind(this),this._loader.onDataArrival=this._onLoaderChunkArrival.bind(this),this._loader.onComplete=this._onLoaderComplete.bind(this),this._loader.onError=this._onLoaderError.bind(this)}open(Me){this._currentRange={from:0,to:-1},Me&&(this._currentRange.from=Me),this._speedSampler.reset(),Me||(this._fullRequestFlag=!0),this._loader.open(this._dataSource,Object.assign({},this._currentRange))}abort(){this._loader.abort(),this._paused&&(this._paused=!1,this._resumeFrom=0)}pause(){this.isWorking()&&(this._loader.abort(),this._stashUsed!==0?(this._resumeFrom=this._stashByteStart,this._currentRange.to=this._stashByteStart-1):this._resumeFrom=this._currentRange.to+1,this._stashUsed=0,this._stashByteStart=0,this._paused=!0)}resume(){if(this._paused){this._paused=!1;let Me=this._resumeFrom;this._resumeFrom=0,this._internalSeek(Me,!0)}}seek(Me){this._paused=!1,this._stashUsed=0,this._stashByteStart=0,this._internalSeek(Me,!0)}_internalSeek(Me,Oe){this._loader.isWorking()&&this._loader.abort(),this._flushStashBuffer(Oe),this._loader.destroy(),this._loader=null;let Te={from:Me,to:-1};this._currentRange={from:Te.from,to:-1},this._speedSampler.reset(),this._stashSize=this._stashInitialSize,this._createLoader(),this._loader.open(this._dataSource,Te),this._onSeeked&&this._onSeeked()}updateUrl(Me){if(!Me||typeof Me!="string"||Me.length===0)throw new pe("Url must be a non-empty string!");this._dataSource.url=Me}_expandBuffer(Me){let Oe=this._stashSize;for(;Oe+1024*1024*10){let We=new Uint8Array(this._stashBuffer,0,this._stashUsed);new Uint8Array(Te,0,Oe).set(We,0)}this._stashBuffer=Te,this._bufferSize=Oe}_normalizeSpeed(Me){let Oe=this._speedNormalizeList,Te=Oe.length-1,We=0,Ye=0,Et=Te;if(Me=Oe[We]&&Me=512&&Me<=1024?Oe=Math.floor(Me*1.5):Oe=Me*2,Oe>8192&&(Oe=8192);let Te=Oe*1024+1024*1024*1;this._bufferSize0){let Et=this._stashBuffer.slice(0,this._stashUsed),Pt=this._dispatchChunks(Et,this._stashByteStart);if(Pt0){let qt=new Uint8Array(Et,Pt);Ye.set(qt,0),this._stashUsed=qt.byteLength,this._stashByteStart+=Pt}}else this._stashUsed=0,this._stashByteStart+=Pt;this._stashUsed+Me.byteLength>this._bufferSize&&(this._expandBuffer(this._stashUsed+Me.byteLength),Ye=new Uint8Array(this._stashBuffer,0,this._bufferSize)),Ye.set(new Uint8Array(Me),this._stashUsed),this._stashUsed+=Me.byteLength}else{let Et=this._dispatchChunks(Me,Oe);if(Etthis._bufferSize&&(this._expandBuffer(Pt),Ye=new Uint8Array(this._stashBuffer,0,this._bufferSize)),Ye.set(new Uint8Array(Me,Et),0),this._stashUsed+=Pt,this._stashByteStart=Oe+Et}}}else if(this._stashUsed===0){let Ye=this._dispatchChunks(Me,Oe);if(Yethis._bufferSize&&this._expandBuffer(Et),new Uint8Array(this._stashBuffer,0,this._bufferSize).set(new Uint8Array(Me,Ye),0),this._stashUsed+=Et,this._stashByteStart=Oe+Ye}}else{this._stashUsed+Me.byteLength>this._bufferSize&&this._expandBuffer(this._stashUsed+Me.byteLength);let Ye=new Uint8Array(this._stashBuffer,0,this._bufferSize);Ye.set(new Uint8Array(Me),this._stashUsed),this._stashUsed+=Me.byteLength;let Et=this._dispatchChunks(this._stashBuffer.slice(0,this._stashUsed),this._stashByteStart);if(Et0){let Pt=new Uint8Array(this._stashBuffer,Et);Ye.set(Pt,0)}this._stashUsed-=Et,this._stashByteStart+=Et}}_flushStashBuffer(Me){if(this._stashUsed>0){let Oe=this._stashBuffer.slice(0,this._stashUsed),Te=this._dispatchChunks(Oe,this._stashByteStart),We=Oe.byteLength-Te;if(Te0){let Ye=new Uint8Array(this._stashBuffer,0,this._bufferSize),Et=new Uint8Array(Oe,Te);Ye.set(Et,0),this._stashUsed=Et.byteLength,this._stashByteStart+=Te}return 0}return this._stashUsed=0,this._stashByteStart=0,We}return 0}_onLoaderComplete(Me,Oe){this._flushStashBuffer(!0),this._onComplete&&this._onComplete(this._extraData)}_onLoaderError(Me,Oe){switch(Pe.e(this.TAG,`Loader error, code = ${Oe.code}, msg = ${Oe.msg}`),this._flushStashBuffer(!1),this._isEarlyEofReconnecting&&(this._isEarlyEofReconnecting=!1,Me=ce.UNRECOVERABLE_EARLY_EOF),Me){case ce.EARLY_EOF:{if(!this._config.isLive&&this._totalLength){let Te=this._currentRange.to+1;Te0){let Oe=mt.getConfig();Me.emit("change",Oe)}}static registerListener(Me){mt.emitter.addListener("change",Me)}static removeListener(Me){mt.emitter.removeListener("change",Me)}static addLogListener(Me){Pe.emitter.addListener("log",Me),Pe.emitter.listenerCount("log")>0&&(Pe.ENABLE_CALLBACK=!0,mt._notifyChange())}static removeLogListener(Me){Pe.emitter.removeListener("log",Me),Pe.emitter.listenerCount("log")===0&&(Pe.ENABLE_CALLBACK=!1,mt._notifyChange())}}mt.emitter=new(Ce());var ht=mt;class gt{constructor(){this.mimeType=null,this.duration=null,this.hasAudio=null,this.hasVideo=null,this.audioCodec=null,this.videoCodec=null,this.audioDataRate=null,this.videoDataRate=null,this.audioSampleRate=null,this.audioChannelCount=null,this.width=null,this.height=null,this.fps=null,this.profile=null,this.level=null,this.refFrames=null,this.chromaFormat=null,this.sarNum=null,this.sarDen=null,this.metadata=null,this.segments=null,this.segmentCount=null,this.hasKeyframesIndex=null,this.keyframesIndex=null}isComplete(){let Me=this.hasAudio===!1||this.hasAudio===!0&&this.audioCodec!=null&&this.audioSampleRate!=null&&this.audioChannelCount!=null,Oe=this.hasVideo===!1||this.hasVideo===!0&&this.videoCodec!=null&&this.width!=null&&this.height!=null&&this.fps!=null&&this.profile!=null&&this.level!=null&&this.refFrames!=null&&this.chromaFormat!=null&&this.sarNum!=null&&this.sarDen!=null;return this.mimeType!=null&&this.duration!=null&&this.metadata!=null&&this.hasKeyframesIndex!=null&&Me&&Oe}isSeekable(){return this.hasKeyframesIndex===!0}getNearestKeyframe(Me){if(this.keyframesIndex==null)return null;let Oe=this.keyframesIndex,Te=this._search(Oe.times,Me);return{index:Te,milliseconds:Oe.times[Te],fileposition:Oe.filepositions[Te]}}_search(Me,Oe){let Te=0,We=Me.length-1,Ye=0,Et=0,Pt=We;for(Oe=Me[Ye]&&Oe=128){Me.push(String.fromCharCode(Ye&65535)),Te+=2;continue}}}else if(Oe[Te]<240){if(Zt(Oe,Te,2)){let Ye=(Oe[Te]&15)<<12|(Oe[Te+1]&63)<<6|Oe[Te+2]&63;if(Ye>=2048&&(Ye&63488)!==55296){Me.push(String.fromCharCode(Ye&65535)),Te+=3;continue}}}else if(Oe[Te]<248&&Zt(Oe,Te,3)){let Ye=(Oe[Te]&7)<<18|(Oe[Te+1]&63)<<12|(Oe[Te+2]&63)<<6|Oe[Te+3]&63;if(Ye>65536&&Ye<1114112){Ye-=65536,Me.push(String.fromCharCode(Ye>>>10|55296)),Me.push(String.fromCharCode(Ye&1023|56320)),Te+=4;continue}}}Me.push("\uFFFD"),++Te}return Me.join("")}var dn=en;let Lt=function(){let bt=new ArrayBuffer(2);return new DataView(bt).setInt16(0,256,!0),new Int16Array(bt)[0]===256}();class on{static parseScriptData(Me,Oe,Te){let We={};try{let Ye=on.parseValue(Me,Oe,Te),Et=on.parseValue(Me,Oe+Ye.size,Te-Ye.size);We[Ye.data]=Et.data}catch(Ye){Pe.e("AMF",Ye.toString())}return We}static parseObject(Me,Oe,Te){if(Te<3)throw new we("Data not enough when parse ScriptDataObject");let We=on.parseString(Me,Oe,Te),Ye=on.parseValue(Me,Oe+We.size,Te-We.size),Et=Ye.objectEnd;return{data:{name:We.data,value:Ye.data},size:We.size+Ye.size,objectEnd:Et}}static parseVariable(Me,Oe,Te){return on.parseObject(Me,Oe,Te)}static parseString(Me,Oe,Te){if(Te<2)throw new we("Data not enough when parse String");let Ye=new DataView(Me,Oe,Te).getUint16(0,!Lt),Et;return Ye>0?Et=dn(new Uint8Array(Me,Oe+2,Ye)):Et="",{data:Et,size:2+Ye}}static parseLongString(Me,Oe,Te){if(Te<4)throw new we("Data not enough when parse LongString");let Ye=new DataView(Me,Oe,Te).getUint32(0,!Lt),Et;return Ye>0?Et=dn(new Uint8Array(Me,Oe+4,Ye)):Et="",{data:Et,size:4+Ye}}static parseDate(Me,Oe,Te){if(Te<10)throw new we("Data size invalid when parse Date");let We=new DataView(Me,Oe,Te),Ye=We.getFloat64(0,!Lt),Et=We.getInt16(8,!Lt);return Ye+=Et*60*1e3,{data:new Date(Ye),size:10}}static parseValue(Me,Oe,Te){if(Te<1)throw new we("Data not enough when parse Value");let We=new DataView(Me,Oe,Te),Ye=1,Et=We.getUint8(0),Pt,qt=!1;try{switch(Et){case 0:Pt=We.getFloat64(1,!Lt),Ye+=8;break;case 1:{Pt=!!We.getUint8(1),Ye+=1;break}case 2:{let Vt=on.parseString(Me,Oe+1,Te-1);Pt=Vt.data,Ye+=Vt.size;break}case 3:{Pt={};let Vt=0;for((We.getUint32(Te-4,!Lt)&16777215)===9&&(Vt=3);Ye32)throw new pe("ExpGolomb: readBits() bits exceeded max 32bits!");if(Me<=this._current_word_bits_left){let Et=this._current_word>>>32-Me;return this._current_word<<=Me,this._current_word_bits_left-=Me,Et}let Oe=this._current_word_bits_left?this._current_word:0;Oe=Oe>>>32-this._current_word_bits_left;let Te=Me-this._current_word_bits_left;this._fillCurrentWord();let We=Math.min(Te,this._current_word_bits_left),Ye=this._current_word>>>32-We;return this._current_word<<=We,this._current_word_bits_left-=We,Oe=Oe<>>Me)return this._current_word<<=Me,this._current_word_bits_left-=Me,Me;return this._fillCurrentWord(),Me+this._skipLeadingZero()}readUEG(){let Me=this._skipLeadingZero();return this.readBits(Me+1)-1}readSEG(){let Me=this.readUEG();return Me&1?Me+1>>>1:-1*(Me>>>1)}}var Bn=Mn;class sn{static _ebsp2rbsp(Me){let Oe=Me,Te=Oe.byteLength,We=new Uint8Array(Te),Ye=0;for(let Et=0;Et=2&&Oe[Et]===3&&Oe[Et-1]===0&&Oe[Et-2]===0||(We[Ye]=Oe[Et],Ye++);return new Uint8Array(We.buffer,0,Ye)}static parseSPS(Me){let Oe=sn._ebsp2rbsp(Me),Te=new Bn(Oe);Te.readByte();let We=Te.readByte();Te.readByte();let Ye=Te.readByte();Te.readUEG();let Et=sn.getProfileString(We),Pt=sn.getLevelString(Ye),qt=1,Vt=420,fn=[0,420,422,444],gn=8;if((We===100||We===110||We===122||We===244||We===44||We===83||We===86||We===118||We===128||We===138||We===144)&&(qt=Te.readUEG(),qt===3&&Te.readBits(1),qt<=3&&(Vt=fn[qt]),gn=Te.readUEG()+8,Te.readUEG(),Te.readBits(1),Te.readBool())){let Oa=qt!==3?8:12;for(let sa=0;sa0&&Oa<16?(Ar=sa[Oa-1],tr=$a[Oa-1]):Oa===255&&(Ar=Te.readByte()<<8|Te.readByte(),tr=Te.readByte()<<8|Te.readByte())}if(Te.readBool()&&Te.readBool(),Te.readBool()&&(Te.readBits(4),Te.readBool()&&Te.readBits(24)),Te.readBool()&&(Te.readUEG(),Te.readUEG()),Te.readBool()){let Oa=Te.readBits(32),sa=Te.readBits(32);cr=Te.readBool(),Ln=sa,pr=Oa*2,ur=Ln/pr}}let Rr=1;(Ar!==1||tr!==1)&&(Rr=Ar/tr);let Ja=0,qa=0;if(qt===0)Ja=1,qa=2-fr;else{let Oa=qt===3?1:2,sa=qt===1?2:1;Ja=Oa,qa=sa*(2-fr)}let di=(qn+1)*16,Zr=(2-fr)*((nr+1)*16);di-=(mn+rn)*Ja,Zr-=(On+Un)*qa;let da=Math.ceil(di*Rr);return Te.destroy(),Te=null,{profile_string:Et,level_string:Pt,bit_depth:gn,ref_frames:Pn,chroma_format:Vt,chroma_format_string:sn.getChromaFormatString(Vt),frame_rate:{fixed:cr,fps:ur,fps_den:pr,fps_num:Ln},sar_ratio:{width:Ar,height:tr},codec_size:{width:di,height:Zr},present_size:{width:da,height:Zr}}}static _skipScalingList(Me,Oe){let Te=8,We=8,Ye=0;for(let Et=0;Et>>8&255|(bt&255)<<8}function Yt(bt){return(bt&4278190080)>>>24|(bt&16711680)>>>8|(bt&65280)<<8|(bt&255)<<24}function vt(bt,Me){return bt[Me]<<24|bt[Me+1]<<16|bt[Me+2]<<8|bt[Me+3]}class At{constructor(Me,Oe){this.TAG="FLVDemuxer",this._config=Oe,this._onError=null,this._onMediaInfo=null,this._onMetaDataArrived=null,this._onScriptDataArrived=null,this._onTrackMetadata=null,this._onDataAvailable=null,this._dataOffset=Me.dataOffset,this._firstParse=!0,this._dispatch=!1,this._hasAudio=Me.hasAudioTrack,this._hasVideo=Me.hasVideoTrack,this._hasAudioFlagOverrided=!1,this._hasVideoFlagOverrided=!1,this._audioInitialMetadataDispatched=!1,this._videoInitialMetadataDispatched=!1,this._mediaInfo=new Wt,this._mediaInfo.hasAudio=this._hasAudio,this._mediaInfo.hasVideo=this._hasVideo,this._metadata=null,this._audioMetadata=null,this._videoMetadata=null,this._naluLengthSize=4,this._timestampBase=0,this._timescale=1e3,this._duration=0,this._durationOverrided=!1,this._referenceFrameRate={fixed:!0,fps:23.976,fps_num:23976,fps_den:1e3},this._flvSoundRateTable=[5500,11025,22050,44100,48e3],this._mpegSamplingRates=[96e3,88200,64e3,48e3,44100,32e3,24e3,22050,16e3,12e3,11025,8e3,7350],this._mpegAudioV10SampleRateTable=[44100,48e3,32e3,0],this._mpegAudioV20SampleRateTable=[22050,24e3,16e3,0],this._mpegAudioV25SampleRateTable=[11025,12e3,8e3,0],this._mpegAudioL1BitRateTable=[0,32,64,96,128,160,192,224,256,288,320,352,384,416,448,-1],this._mpegAudioL2BitRateTable=[0,32,48,56,64,80,96,112,128,160,192,224,256,320,384,-1],this._mpegAudioL3BitRateTable=[0,32,40,48,56,64,80,96,112,128,160,192,224,256,320,-1],this._videoTrack={type:"video",id:1,sequenceNumber:0,samples:[],length:0},this._audioTrack={type:"audio",id:2,sequenceNumber:0,samples:[],length:0},this._littleEndian=function(){let Te=new ArrayBuffer(2);return new DataView(Te).setInt16(0,256,!0),new Int16Array(Te)[0]===256}()}destroy(){this._mediaInfo=null,this._metadata=null,this._audioMetadata=null,this._videoMetadata=null,this._videoTrack=null,this._audioTrack=null,this._onError=null,this._onMediaInfo=null,this._onMetaDataArrived=null,this._onScriptDataArrived=null,this._onTrackMetadata=null,this._onDataAvailable=null}static probe(Me){let Oe=new Uint8Array(Me),Te={match:!1};if(Oe[0]!==70||Oe[1]!==76||Oe[2]!==86||Oe[3]!==1)return Te;let We=(Oe[4]&4)>>>2!==0,Ye=(Oe[4]&1)!==0,Et=vt(Oe,5);return Et<9?Te:{match:!0,consumed:Et,dataOffset:Et,hasAudioTrack:We,hasVideoTrack:Ye}}bindDataSource(Me){return Me.onDataArrival=this.parseChunks.bind(this),this}get onTrackMetadata(){return this._onTrackMetadata}set onTrackMetadata(Me){this._onTrackMetadata=Me}get onMediaInfo(){return this._onMediaInfo}set onMediaInfo(Me){this._onMediaInfo=Me}get onMetaDataArrived(){return this._onMetaDataArrived}set onMetaDataArrived(Me){this._onMetaDataArrived=Me}get onScriptDataArrived(){return this._onScriptDataArrived}set onScriptDataArrived(Me){this._onScriptDataArrived=Me}get onError(){return this._onError}set onError(Me){this._onError=Me}get onDataAvailable(){return this._onDataAvailable}set onDataAvailable(Me){this._onDataAvailable=Me}get timestampBase(){return this._timestampBase}set timestampBase(Me){this._timestampBase=Me}get overridedDuration(){return this._duration}set overridedDuration(Me){this._durationOverrided=!0,this._duration=Me,this._mediaInfo.duration=Me}set overridedHasAudio(Me){this._hasAudioFlagOverrided=!0,this._hasAudio=Me,this._mediaInfo.hasAudio=Me}set overridedHasVideo(Me){this._hasVideoFlagOverrided=!0,this._hasVideo=Me,this._mediaInfo.hasVideo=Me}resetMediaInfo(){this._mediaInfo=new Wt}_isInitialMetadataDispatched(){return this._hasAudio&&this._hasVideo?this._audioInitialMetadataDispatched&&this._videoInitialMetadataDispatched:this._hasAudio&&!this._hasVideo?this._audioInitialMetadataDispatched:!this._hasAudio&&this._hasVideo?this._videoInitialMetadataDispatched:!1}parseChunks(Me,Oe){if(!this._onError||!this._onMediaInfo||!this._onTrackMetadata||!this._onDataAvailable)throw new we("Flv: onError & onMediaInfo & onTrackMetadata & onDataAvailable callback must be specified");let Te=0,We=this._littleEndian;if(Oe===0)if(Me.byteLength>13)Te=At.probe(Me).dataOffset;else return 0;for(this._firstParse&&(this._firstParse=!1,Oe+Te!==this._dataOffset&&Pe.w(this.TAG,"First time parsing but chunk byteStart invalid!"),new DataView(Me,Te).getUint32(0,!We)!==0&&Pe.w(this.TAG,"PrevTagSize0 !== 0 !!!"),Te+=4);TeMe.byteLength)break;let Et=Ye.getUint8(0),Pt=Ye.getUint32(0,!We)&16777215;if(Te+11+Pt+4>Me.byteLength)break;if(Et!==8&&Et!==9&&Et!==18){Pe.w(this.TAG,`Unsupported tag type ${Et}, skipped`),Te+=11+Pt+4;continue}let qt=Ye.getUint8(4),Vt=Ye.getUint8(5),fn=Ye.getUint8(6),gn=Ye.getUint8(7),Qn=fn|Vt<<8|qt<<16|gn<<24;(Ye.getUint32(7,!We)&16777215)!==0&&Pe.w(this.TAG,"Meet tag which has StreamID != 0!");let qn=Te+11;switch(Et){case 8:this._parseAudioData(Me,qn,Pt,Qn);break;case 9:this._parseVideoData(Me,qn,Pt,Qn,Oe+Te);break;case 18:this._parseScriptData(Me,qn,Pt);break}let nr=Ye.getUint32(11+Pt,!We);nr!==11+Pt&&Pe.w(this.TAG,`Invalid PrevTagSize ${nr}`),Te+=11+Pt+4}return this._isInitialMetadataDispatched()&&this._dispatch&&(this._audioTrack.length||this._videoTrack.length)&&this._onDataAvailable(this._audioTrack,this._videoTrack),Te}_parseScriptData(Me,Oe,Te){let We=an.parseScriptData(Me,Oe,Te);if(We.hasOwnProperty("onMetaData")){if(We.onMetaData==null||typeof We.onMetaData!="object"){Pe.w(this.TAG,"Invalid onMetaData structure!");return}this._metadata&&Pe.w(this.TAG,"Found another onMetaData tag!"),this._metadata=We;let Ye=this._metadata.onMetaData;if(this._onMetaDataArrived&&this._onMetaDataArrived(Object.assign({},Ye)),typeof Ye.hasAudio=="boolean"&&this._hasAudioFlagOverrided===!1&&(this._hasAudio=Ye.hasAudio,this._mediaInfo.hasAudio=this._hasAudio),typeof Ye.hasVideo=="boolean"&&this._hasVideoFlagOverrided===!1&&(this._hasVideo=Ye.hasVideo,this._mediaInfo.hasVideo=this._hasVideo),typeof Ye.audiodatarate=="number"&&(this._mediaInfo.audioDataRate=Ye.audiodatarate),typeof Ye.videodatarate=="number"&&(this._mediaInfo.videoDataRate=Ye.videodatarate),typeof Ye.width=="number"&&(this._mediaInfo.width=Ye.width),typeof Ye.height=="number"&&(this._mediaInfo.height=Ye.height),typeof Ye.duration=="number"){if(!this._durationOverrided){let Et=Math.floor(Ye.duration*this._timescale);this._duration=Et,this._mediaInfo.duration=Et}}else this._mediaInfo.duration=0;if(typeof Ye.framerate=="number"){let Et=Math.floor(Ye.framerate*1e3);if(Et>0){let Pt=Et/1e3;this._referenceFrameRate.fixed=!0,this._referenceFrameRate.fps=Pt,this._referenceFrameRate.fps_num=Et,this._referenceFrameRate.fps_den=1e3,this._mediaInfo.fps=Pt}}if(typeof Ye.keyframes=="object"){this._mediaInfo.hasKeyframesIndex=!0;let Et=Ye.keyframes;this._mediaInfo.keyframesIndex=this._parseKeyframesIndex(Et),Ye.keyframes=null}else this._mediaInfo.hasKeyframesIndex=!1;this._dispatch=!1,this._mediaInfo.metadata=Ye,Pe.v(this.TAG,"Parsed onMetaData"),this._mediaInfo.isComplete()&&this._onMediaInfo(this._mediaInfo)}Object.keys(We).length>0&&this._onScriptDataArrived&&this._onScriptDataArrived(Object.assign({},We))}_parseKeyframesIndex(Me){let Oe=[],Te=[];for(let We=1;We>>4;if(qt!==2&&qt!==10){this._onError(It.CODEC_UNSUPPORTED,"Flv: Unsupported audio codec idx: "+qt);return}let Vt=0,fn=(Pt&12)>>>2;if(fn>=0&&fn<=4)Vt=this._flvSoundRateTable[fn];else{this._onError(It.FORMAT_ERROR,"Flv: Invalid audio sample rate idx: "+fn);return}let gn=(Pt&2)>>>1,Qn=Pt&1,Pn=this._audioMetadata,qn=this._audioTrack;if(Pn||(this._hasAudio===!1&&this._hasAudioFlagOverrided===!1&&(this._hasAudio=!0,this._mediaInfo.hasAudio=!0),Pn=this._audioMetadata={},Pn.type="audio",Pn.id=qn.id,Pn.timescale=this._timescale,Pn.duration=this._duration,Pn.audioSampleRate=Vt,Pn.channelCount=Qn===0?1:2),qt===10){let nr=this._parseAACAudioData(Me,Oe+1,Te-1);if(nr==null)return;if(nr.packetType===0){Pn.config&&Pe.w(this.TAG,"Found another AudioSpecificConfig!");let fr=nr.data;Pn.audioSampleRate=fr.samplingRate,Pn.channelCount=fr.channelCount,Pn.codec=fr.codec,Pn.originalCodec=fr.originalCodec,Pn.config=fr.config,Pn.refSampleDuration=1024/Pn.audioSampleRate*Pn.timescale,Pe.v(this.TAG,"Parsed AudioSpecificConfig"),this._isInitialMetadataDispatched()?this._dispatch&&(this._audioTrack.length||this._videoTrack.length)&&this._onDataAvailable(this._audioTrack,this._videoTrack):this._audioInitialMetadataDispatched=!0,this._dispatch=!1,this._onTrackMetadata("audio",Pn);let mn=this._mediaInfo;mn.audioCodec=Pn.originalCodec,mn.audioSampleRate=Pn.audioSampleRate,mn.audioChannelCount=Pn.channelCount,mn.hasVideo?mn.videoCodec!=null&&(mn.mimeType='video/x-flv; codecs="'+mn.videoCodec+","+mn.audioCodec+'"'):mn.mimeType='video/x-flv; codecs="'+mn.audioCodec+'"',mn.isComplete()&&this._onMediaInfo(mn)}else if(nr.packetType===1){let fr=this._timestampBase+We,mn={unit:nr.data,length:nr.data.byteLength,dts:fr,pts:fr};qn.samples.push(mn),qn.length+=nr.data.length}else Pe.e(this.TAG,`Flv: Unsupported AAC data type ${nr.packetType}`)}else if(qt===2){if(!Pn.codec){let rn=this._parseMP3AudioData(Me,Oe+1,Te-1,!0);if(rn==null)return;Pn.audioSampleRate=rn.samplingRate,Pn.channelCount=rn.channelCount,Pn.codec=rn.codec,Pn.originalCodec=rn.originalCodec,Pn.refSampleDuration=1152/Pn.audioSampleRate*Pn.timescale,Pe.v(this.TAG,"Parsed MPEG Audio Frame Header"),this._audioInitialMetadataDispatched=!0,this._onTrackMetadata("audio",Pn);let On=this._mediaInfo;On.audioCodec=Pn.codec,On.audioSampleRate=Pn.audioSampleRate,On.audioChannelCount=Pn.channelCount,On.audioDataRate=rn.bitRate,On.hasVideo?On.videoCodec!=null&&(On.mimeType='video/x-flv; codecs="'+On.videoCodec+","+On.audioCodec+'"'):On.mimeType='video/x-flv; codecs="'+On.audioCodec+'"',On.isComplete()&&this._onMediaInfo(On)}let nr=this._parseMP3AudioData(Me,Oe+1,Te-1,!1);if(nr==null)return;let fr=this._timestampBase+We,mn={unit:nr,length:nr.byteLength,dts:fr,pts:fr};qn.samples.push(mn),qn.length+=nr.length}}_parseAACAudioData(Me,Oe,Te){if(Te<=1){Pe.w(this.TAG,"Flv: Invalid AAC packet, missing AACPacketType or/and Data!");return}let We={},Ye=new Uint8Array(Me,Oe,Te);return We.packetType=Ye[0],Ye[0]===0?We.data=this._parseAACAudioSpecificConfig(Me,Oe+1,Te-1):We.data=Ye.subarray(1),We}_parseAACAudioSpecificConfig(Me,Oe,Te){let We=new Uint8Array(Me,Oe,Te),Ye=null,Et=0,Pt=0,qt=null,Vt=0,fn=null;if(Et=Pt=We[0]>>>3,Vt=(We[0]&7)<<1|We[1]>>>7,Vt<0||Vt>=this._mpegSamplingRates.length){this._onError(It.FORMAT_ERROR,"Flv: AAC invalid sampling frequency index!");return}let gn=this._mpegSamplingRates[Vt],Qn=(We[1]&120)>>>3;if(Qn<0||Qn>=8){this._onError(It.FORMAT_ERROR,"Flv: AAC invalid channel configuration");return}Et===5&&(fn=(We[1]&7)<<1|We[2]>>>7,qt=(We[2]&124)>>>2);let Pn=self.navigator.userAgent.toLowerCase();return Pn.indexOf("firefox")!==-1?Vt>=6?(Et=5,Ye=new Array(4),fn=Vt-3):(Et=2,Ye=new Array(2),fn=Vt):Pn.indexOf("android")!==-1?(Et=2,Ye=new Array(2),fn=Vt):(Et=5,fn=Vt,Ye=new Array(4),Vt>=6?fn=Vt-3:Qn===1&&(Et=2,Ye=new Array(2),fn=Vt)),Ye[0]=Et<<3,Ye[0]|=(Vt&15)>>>1,Ye[1]=(Vt&15)<<7,Ye[1]|=(Qn&15)<<3,Et===5&&(Ye[1]|=(fn&15)>>>1,Ye[2]=(fn&1)<<7,Ye[2]|=8,Ye[3]=0),{config:Ye,samplingRate:gn,channelCount:Qn,codec:"mp4a.40."+Et,originalCodec:"mp4a.40."+Pt}}_parseMP3AudioData(Me,Oe,Te,We){if(Te<4){Pe.w(this.TAG,"Flv: Invalid MP3 packet, header missing!");return}let Ye=this._littleEndian,Et=new Uint8Array(Me,Oe,Te),Pt=null;if(We){if(Et[0]!==255)return;let qt=Et[1]>>>3&3,Vt=(Et[1]&6)>>1,fn=(Et[2]&240)>>>4,gn=(Et[2]&12)>>>2,Pn=(Et[3]>>>6&3)!==3?2:1,qn=0,nr=0,fr=34,mn="mp3";switch(qt){case 0:qn=this._mpegAudioV25SampleRateTable[gn];break;case 2:qn=this._mpegAudioV20SampleRateTable[gn];break;case 3:qn=this._mpegAudioV10SampleRateTable[gn];break}switch(Vt){case 1:fr=34,fn>>4,qt=Et&15;if(qt!==7){this._onError(It.CODEC_UNSUPPORTED,`Flv: Unsupported codec in video frame: ${qt}`);return}this._parseAVCVideoPacket(Me,Oe+1,Te-1,We,Ye,Pt)}_parseAVCVideoPacket(Me,Oe,Te,We,Ye,Et){if(Te<4){Pe.w(this.TAG,"Flv: Invalid AVC packet, missing AVCPacketType or/and CompositionTime");return}let Pt=this._littleEndian,qt=new DataView(Me,Oe,Te),Vt=qt.getUint8(0),gn=(qt.getUint32(0,!Pt)&16777215)<<8>>8;if(Vt===0)this._parseAVCDecoderConfigurationRecord(Me,Oe+4,Te-4);else if(Vt===1)this._parseAVCVideoData(Me,Oe+4,Te-4,We,Ye,Et,gn);else if(Vt!==2){this._onError(It.FORMAT_ERROR,`Flv: Invalid video packet type ${Vt}`);return}}_parseAVCDecoderConfigurationRecord(Me,Oe,Te){if(Te<7){Pe.w(this.TAG,"Flv: Invalid AVCDecoderConfigurationRecord, lack of data!");return}let We=this._videoMetadata,Ye=this._videoTrack,Et=this._littleEndian,Pt=new DataView(Me,Oe,Te);We?typeof We.avcc!="undefined"&&Pe.w(this.TAG,"Found another AVCDecoderConfigurationRecord!"):(this._hasVideo===!1&&this._hasVideoFlagOverrided===!1&&(this._hasVideo=!0,this._mediaInfo.hasVideo=!0),We=this._videoMetadata={},We.type="video",We.id=Ye.id,We.timescale=this._timescale,We.duration=this._duration);let qt=Pt.getUint8(0),Vt=Pt.getUint8(1),fn=Pt.getUint8(2),gn=Pt.getUint8(3);if(qt!==1||Vt===0){this._onError(It.FORMAT_ERROR,"Flv: Invalid AVCDecoderConfigurationRecord");return}if(this._naluLengthSize=(Pt.getUint8(4)&3)+1,this._naluLengthSize!==3&&this._naluLengthSize!==4){this._onError(It.FORMAT_ERROR,`Flv: Strange NaluLengthSizeMinusOne: ${this._naluLengthSize-1}`);return}let Qn=Pt.getUint8(5)&31;if(Qn===0){this._onError(It.FORMAT_ERROR,"Flv: Invalid AVCDecoderConfigurationRecord: No SPS");return}else Qn>1&&Pe.w(this.TAG,`Flv: Strange AVCDecoderConfigurationRecord: SPS Count = ${Qn}`);let Pn=6;for(let nr=0;nr1&&Pe.w(this.TAG,`Flv: Strange AVCDecoderConfigurationRecord: PPS Count = ${qn}`);Pn++;for(let nr=0;nr=Te){Pe.w(this.TAG,`Malformed Nalu near timestamp ${qn}, offset = ${Qn}, dataSize = ${Te}`);break}let fr=Vt.getUint32(Qn,!qt);if(Pn===3&&(fr>>>=8),fr>Te-Pn){Pe.w(this.TAG,`Malformed Nalus near timestamp ${qn}, NaluSize > DataSize!`);return}let mn=Vt.getUint8(Qn+Pn)&31;mn===5&&(nr=!0);let rn=new Uint8Array(Me,Oe+Qn,Pn+fr),On={type:mn,data:rn};fn.push(On),gn+=rn.byteLength,Qn+=Pn+fr}if(fn.length){let fr=this._videoTrack,mn={units:fn,length:gn,isKeyframe:nr,dts:qn,cts:Pt,pts:qn+Pt};nr&&(mn.fileposition=Ye),fr.samples.push(mn),fr.length+=gn}}}var Xt=At;class Ft{static init(){Ft.types={avc1:[],avcC:[],btrt:[],dinf:[],dref:[],esds:[],ftyp:[],hdlr:[],mdat:[],mdhd:[],mdia:[],mfhd:[],minf:[],moof:[],moov:[],mp4a:[],mvex:[],mvhd:[],sdtp:[],stbl:[],stco:[],stsc:[],stsd:[],stsz:[],stts:[],tfdt:[],tfhd:[],traf:[],trak:[],trun:[],trex:[],tkhd:[],vmhd:[],smhd:[],".mp3":[]};for(let Oe in Ft.types)Ft.types.hasOwnProperty(Oe)&&(Ft.types[Oe]=[Oe.charCodeAt(0),Oe.charCodeAt(1),Oe.charCodeAt(2),Oe.charCodeAt(3)]);let Me=Ft.constants={};Me.FTYP=new Uint8Array([105,115,111,109,0,0,0,1,105,115,111,109,97,118,99,49]),Me.STSD_PREFIX=new Uint8Array([0,0,0,0,0,0,0,1]),Me.STTS=new Uint8Array([0,0,0,0,0,0,0,0]),Me.STSC=Me.STCO=Me.STTS,Me.STSZ=new Uint8Array([0,0,0,0,0,0,0,0,0,0,0,0]),Me.HDLR_VIDEO=new Uint8Array([0,0,0,0,0,0,0,0,118,105,100,101,0,0,0,0,0,0,0,0,0,0,0,0,86,105,100,101,111,72,97,110,100,108,101,114,0]),Me.HDLR_AUDIO=new Uint8Array([0,0,0,0,0,0,0,0,115,111,117,110,0,0,0,0,0,0,0,0,0,0,0,0,83,111,117,110,100,72,97,110,100,108,101,114,0]),Me.DREF=new Uint8Array([0,0,0,0,0,0,0,1,0,0,0,12,117,114,108,32,0,0,0,1]),Me.SMHD=new Uint8Array([0,0,0,0,0,0,0,0]),Me.VMHD=new Uint8Array([0,0,0,1,0,0,0,0,0,0,0,0])}static box(Me){let Oe=8,Te=null,We=Array.prototype.slice.call(arguments,1),Ye=We.length;for(let Pt=0;Pt>>24&255,Te[1]=Oe>>>16&255,Te[2]=Oe>>>8&255,Te[3]=Oe&255,Te.set(Me,4);let Et=8;for(let Pt=0;Pt>>24&255,Me>>>16&255,Me>>>8&255,Me&255,Oe>>>24&255,Oe>>>16&255,Oe>>>8&255,Oe&255,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,64,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,255,255,255,255]))}static trak(Me){return Ft.box(Ft.types.trak,Ft.tkhd(Me),Ft.mdia(Me))}static tkhd(Me){let Oe=Me.id,Te=Me.duration,We=Me.presentWidth,Ye=Me.presentHeight;return Ft.box(Ft.types.tkhd,new Uint8Array([0,0,0,7,0,0,0,0,0,0,0,0,Oe>>>24&255,Oe>>>16&255,Oe>>>8&255,Oe&255,0,0,0,0,Te>>>24&255,Te>>>16&255,Te>>>8&255,Te&255,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,64,0,0,0,We>>>8&255,We&255,0,0,Ye>>>8&255,Ye&255,0,0]))}static mdia(Me){return Ft.box(Ft.types.mdia,Ft.mdhd(Me),Ft.hdlr(Me),Ft.minf(Me))}static mdhd(Me){let Oe=Me.timescale,Te=Me.duration;return Ft.box(Ft.types.mdhd,new Uint8Array([0,0,0,0,0,0,0,0,0,0,0,0,Oe>>>24&255,Oe>>>16&255,Oe>>>8&255,Oe&255,Te>>>24&255,Te>>>16&255,Te>>>8&255,Te&255,85,196,0,0]))}static hdlr(Me){let Oe=null;return Me.type==="audio"?Oe=Ft.constants.HDLR_AUDIO:Oe=Ft.constants.HDLR_VIDEO,Ft.box(Ft.types.hdlr,Oe)}static minf(Me){let Oe=null;return Me.type==="audio"?Oe=Ft.box(Ft.types.smhd,Ft.constants.SMHD):Oe=Ft.box(Ft.types.vmhd,Ft.constants.VMHD),Ft.box(Ft.types.minf,Oe,Ft.dinf(),Ft.stbl(Me))}static dinf(){return Ft.box(Ft.types.dinf,Ft.box(Ft.types.dref,Ft.constants.DREF))}static stbl(Me){return Ft.box(Ft.types.stbl,Ft.stsd(Me),Ft.box(Ft.types.stts,Ft.constants.STTS),Ft.box(Ft.types.stsc,Ft.constants.STSC),Ft.box(Ft.types.stsz,Ft.constants.STSZ),Ft.box(Ft.types.stco,Ft.constants.STCO))}static stsd(Me){return Me.type==="audio"?Me.codec==="mp3"?Ft.box(Ft.types.stsd,Ft.constants.STSD_PREFIX,Ft.mp3(Me)):Ft.box(Ft.types.stsd,Ft.constants.STSD_PREFIX,Ft.mp4a(Me)):Ft.box(Ft.types.stsd,Ft.constants.STSD_PREFIX,Ft.avc1(Me))}static mp3(Me){let Oe=Me.channelCount,Te=Me.audioSampleRate,We=new Uint8Array([0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,Oe,0,16,0,0,0,0,Te>>>8&255,Te&255,0,0]);return Ft.box(Ft.types[".mp3"],We)}static mp4a(Me){let Oe=Me.channelCount,Te=Me.audioSampleRate,We=new Uint8Array([0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,Oe,0,16,0,0,0,0,Te>>>8&255,Te&255,0,0]);return Ft.box(Ft.types.mp4a,We,Ft.esds(Me))}static esds(Me){let Oe=Me.config||[],Te=Oe.length,We=new Uint8Array([0,0,0,0,3,23+Te,0,1,0,4,15+Te,64,21,0,0,0,0,0,0,0,0,0,0,0,5].concat([Te]).concat(Oe).concat([6,1,2]));return Ft.box(Ft.types.esds,We)}static avc1(Me){let Oe=Me.avcc,Te=Me.codecWidth,We=Me.codecHeight,Ye=new Uint8Array([0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,Te>>>8&255,Te&255,We>>>8&255,We&255,0,72,0,0,0,72,0,0,0,0,0,0,0,1,10,120,113,113,47,102,108,118,46,106,115,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,24,255,255]);return Ft.box(Ft.types.avc1,Ye,Ft.box(Ft.types.avcC,Oe))}static mvex(Me){return Ft.box(Ft.types.mvex,Ft.trex(Me))}static trex(Me){let Oe=Me.id,Te=new Uint8Array([0,0,0,0,Oe>>>24&255,Oe>>>16&255,Oe>>>8&255,Oe&255,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,1]);return Ft.box(Ft.types.trex,Te)}static moof(Me,Oe){return Ft.box(Ft.types.moof,Ft.mfhd(Me.sequenceNumber),Ft.traf(Me,Oe))}static mfhd(Me){let Oe=new Uint8Array([0,0,0,0,Me>>>24&255,Me>>>16&255,Me>>>8&255,Me&255]);return Ft.box(Ft.types.mfhd,Oe)}static traf(Me,Oe){let Te=Me.id,We=Ft.box(Ft.types.tfhd,new Uint8Array([0,0,0,0,Te>>>24&255,Te>>>16&255,Te>>>8&255,Te&255])),Ye=Ft.box(Ft.types.tfdt,new Uint8Array([0,0,0,0,Oe>>>24&255,Oe>>>16&255,Oe>>>8&255,Oe&255])),Et=Ft.sdtp(Me),Pt=Ft.trun(Me,Et.byteLength+16+16+8+16+8+8);return Ft.box(Ft.types.traf,We,Ye,Pt,Et)}static sdtp(Me){let Oe=Me.samples||[],Te=Oe.length,We=new Uint8Array(4+Te);for(let Ye=0;Ye>>24&255,We>>>16&255,We>>>8&255,We&255,Oe>>>24&255,Oe>>>16&255,Oe>>>8&255,Oe&255],0);for(let Pt=0;Pt>>24&255,qt>>>16&255,qt>>>8&255,qt&255,Vt>>>24&255,Vt>>>16&255,Vt>>>8&255,Vt&255,fn.isLeading<<2|fn.dependsOn,fn.isDependedOn<<6|fn.hasRedundancy<<4|fn.isNonSync,0,0,gn>>>24&255,gn>>>16&255,gn>>>8&255,gn&255],12+16*Pt)}return Ft.box(Ft.types.trun,Et)}static mdat(Me){return Ft.box(Ft.types.mdat,Me)}}Ft.init();var Mt=Ft;class ln{static getSilentFrame(Me,Oe){if(Me==="mp4a.40.2"){if(Oe===1)return new Uint8Array([0,200,0,128,35,128]);if(Oe===2)return new Uint8Array([33,0,73,144,2,25,0,35,128]);if(Oe===3)return new Uint8Array([0,200,0,128,32,132,1,38,64,8,100,0,142]);if(Oe===4)return new Uint8Array([0,200,0,128,32,132,1,38,64,8,100,0,128,44,128,8,2,56]);if(Oe===5)return new Uint8Array([0,200,0,128,32,132,1,38,64,8,100,0,130,48,4,153,0,33,144,2,56]);if(Oe===6)return new Uint8Array([0,200,0,128,32,132,1,38,64,8,100,0,130,48,4,153,0,33,144,2,0,178,0,32,8,224])}else{if(Oe===1)return new Uint8Array([1,64,34,128,163,78,230,128,186,8,0,0,0,28,6,241,193,10,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,94]);if(Oe===2)return new Uint8Array([1,64,34,128,163,94,230,128,186,8,0,0,0,0,149,0,6,241,161,10,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,94]);if(Oe===3)return new Uint8Array([1,64,34,128,163,94,230,128,186,8,0,0,0,0,149,0,6,241,161,10,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,94])}return null}}var Dn=ln;class Hn{constructor(Me,Oe,Te,We,Ye){this.dts=Me,this.pts=Oe,this.duration=Te,this.originalDts=We,this.isSyncPoint=Ye,this.fileposition=null}}class Vn{constructor(){this.beginDts=0,this.endDts=0,this.beginPts=0,this.endPts=0,this.originalBeginDts=0,this.originalEndDts=0,this.syncPoints=[],this.firstSample=null,this.lastSample=null}appendSyncPoint(Me){Me.isSyncPoint=!0,this.syncPoints.push(Me)}}class Kn{constructor(){this._list=[]}clear(){this._list=[]}appendArray(Me){let Oe=this._list;Me.length!==0&&(Oe.length>0&&Me[0].originalDts=Oe[Ye].dts&&MeOe[We].lastSample.originalDts&&Me=Oe[We].lastSample.originalDts&&(We===Oe.length-1||We0&&(Ye=this._searchNearestSegmentBefore(Te.originalBeginDts)+1),this._lastAppendLocation=Ye,this._list.splice(Ye,0,Te)}getLastSegmentBefore(Me){let Oe=this._searchNearestSegmentBefore(Me);return Oe>=0?this._list[Oe]:null}getLastSampleBefore(Me){let Oe=this.getLastSegmentBefore(Me);return Oe!=null?Oe.lastSample:null}getLastSyncPointBefore(Me){let Oe=this._searchNearestSegmentBefore(Me),Te=this._list[Oe].syncPoints;for(;Te.length===0&&Oe>0;)Oe--,Te=this._list[Oe].syncPoints;return Te.length>0?Te[Te.length-1]:null}}class $t{constructor(Me){this.TAG="MP4Remuxer",this._config=Me,this._isLive=Me.isLive===!0,this._dtsBase=-1,this._dtsBaseInited=!1,this._audioDtsBase=1/0,this._videoDtsBase=1/0,this._audioNextDts=void 0,this._videoNextDts=void 0,this._audioStashedLastSample=null,this._videoStashedLastSample=null,this._audioMeta=null,this._videoMeta=null,this._audioSegmentInfoList=new er("audio"),this._videoSegmentInfoList=new er("video"),this._onInitSegment=null,this._onMediaSegment=null,this._forceFirstIDR=!!(oe.chrome&&(oe.version.major<50||oe.version.major===50&&oe.version.build<2661)),this._fillSilentAfterSeek=oe.msedge||oe.msie,this._mp3UseMpegAudio=!oe.firefox,this._fillAudioTimestampGap=this._config.fixAudioTimestampGap}destroy(){this._dtsBase=-1,this._dtsBaseInited=!1,this._audioMeta=null,this._videoMeta=null,this._audioSegmentInfoList.clear(),this._audioSegmentInfoList=null,this._videoSegmentInfoList.clear(),this._videoSegmentInfoList=null,this._onInitSegment=null,this._onMediaSegment=null}bindDataSource(Me){return Me.onDataAvailable=this.remux.bind(this),Me.onTrackMetadata=this._onTrackMetadataReceived.bind(this),this}get onInitSegment(){return this._onInitSegment}set onInitSegment(Me){this._onInitSegment=Me}get onMediaSegment(){return this._onMediaSegment}set onMediaSegment(Me){this._onMediaSegment=Me}insertDiscontinuity(){this._audioNextDts=this._videoNextDts=void 0}seek(Me){this._audioStashedLastSample=null,this._videoStashedLastSample=null,this._videoSegmentInfoList.clear(),this._audioSegmentInfoList.clear()}remux(Me,Oe){if(!this._onMediaSegment)throw new we("MP4Remuxer: onMediaSegment callback must be specificed!");this._dtsBaseInited||this._calculateDtsBase(Me,Oe),this._remuxVideo(Oe),this._remuxAudio(Me)}_onTrackMetadataReceived(Me,Oe){let Te=null,We="mp4",Ye=Oe.codec;if(Me==="audio")this._audioMeta=Oe,Oe.codec==="mp3"&&this._mp3UseMpegAudio?(We="mpeg",Ye="",Te=new Uint8Array):Te=Mt.generateInitSegment(Oe);else if(Me==="video")this._videoMeta=Oe,Te=Mt.generateInitSegment(Oe);else return;if(!this._onInitSegment)throw new we("MP4Remuxer: onInitSegment callback must be specified!");this._onInitSegment(Me,{type:Me,data:Te.buffer,codec:Ye,container:`${Me}/${We}`,mediaDuration:Oe.duration})}_calculateDtsBase(Me,Oe){this._dtsBaseInited||(Me.samples&&Me.samples.length&&(this._audioDtsBase=Me.samples[0].dts),Oe.samples&&Oe.samples.length&&(this._videoDtsBase=Oe.samples[0].dts),this._dtsBase=Math.min(this._audioDtsBase,this._videoDtsBase),this._dtsBaseInited=!0)}flushStashedSamples(){let Me=this._videoStashedLastSample,Oe=this._audioStashedLastSample,Te={type:"video",id:1,sequenceNumber:0,samples:[],length:0};Me!=null&&(Te.samples.push(Me),Te.length=Me.length);let We={type:"audio",id:2,sequenceNumber:0,samples:[],length:0};Oe!=null&&(We.samples.push(Oe),We.length=Oe.length),this._videoStashedLastSample=null,this._audioStashedLastSample=null,this._remuxVideo(Te,!0),this._remuxAudio(We,!0)}_remuxAudio(Me,Oe){if(this._audioMeta==null)return;let Te=Me,We=Te.samples,Ye,Et=-1,Pt=-1,qt=-1,Vt=this._audioMeta.refSampleDuration,fn=this._audioMeta.codec==="mp3"&&this._mp3UseMpegAudio,gn=this._dtsBaseInited&&this._audioNextDts===void 0,Qn=!1;if(!We||We.length===0||We.length===1&&!Oe)return;let Pn=0,qn=null,nr=0;fn?(Pn=0,nr=Te.length):(Pn=8,nr=8+Te.length);let fr=null;if(We.length>1&&(fr=We.pop(),nr-=fr.length),this._audioStashedLastSample!=null){let tr=this._audioStashedLastSample;this._audioStashedLastSample=null,We.unshift(tr),nr+=tr.length}fr!=null&&(this._audioStashedLastSample=fr);let mn=We[0].dts-this._dtsBase;if(this._audioNextDts)Ye=mn-this._audioNextDts;else if(this._audioSegmentInfoList.isEmpty())Ye=0,this._fillSilentAfterSeek&&!this._videoSegmentInfoList.isEmpty()&&this._audioMeta.originalCodec!=="mp3"&&(Qn=!0);else{let tr=this._audioSegmentInfoList.getLastSampleBefore(mn);if(tr!=null){let ur=mn-(tr.originalDts+tr.duration);ur<=3&&(ur=0);let cr=tr.dts+tr.duration+ur;Ye=mn-cr}else Ye=0}if(Qn){let tr=mn-Ye,ur=this._videoSegmentInfoList.getLastSegmentBefore(mn);if(ur!=null&&ur.beginDts=1?Xn=rn[rn.length-1].duration:Xn=Math.floor(Vt);let Rr=!1,Ja=null;if(Xn>Vt*1.5&&this._audioMeta.codec!=="mp3"&&this._fillAudioTimestampGap&&!oe.safari){Rr=!0;let qa=Math.abs(Xn-Vt),di=Math.ceil(qa/Vt),Zr=pr+Vt;Pe.w(this.TAG,`Large audio timestamp gap detected, may cause AV sync to drift. Silent frames will be generated to avoid unsync. -dts: ${pr+Xn} ms, expected: ${pr+Math.round(Vt)} ms, delta: ${Math.round(qa)} ms, generate: ${di} frames`);let da=Dn.getSilentFrame(this._audioMeta.originalCodec,this._audioMeta.channelCount);da==null&&(Pe.w(this.TAG,`Unable to generate silent frame for ${this._audioMeta.originalCodec} with ${this._audioMeta.channelCount} channels, repeat last frame`),da=cr),Ja=[];for(let sa=0;sa0){let Ra=Ja[Ja.length-1];Ra.duration=$a-Ra.dts}let Fi={dts:$a,pts:$a,cts:0,unit:da,size:da.byteLength,duration:0,originalDts:Ln,flags:{isLeading:0,dependsOn:1,isDependedOn:0,hasRedundancy:0}};Ja.push(Fi),nr+=Fi.size,Zr+=Vt}let Oa=Ja[Ja.length-1];Oa.duration=pr+Xn-Oa.dts,Xn=Math.round(Vt)}rn.push({dts:pr,pts:pr,cts:0,unit:ur.unit,size:ur.unit.byteLength,duration:Xn,originalDts:Ln,flags:{isLeading:0,dependsOn:1,isDependedOn:0,hasRedundancy:0}}),Rr&&rn.push.apply(rn,Ja)}fn?qn=new Uint8Array(nr):(qn=new Uint8Array(nr),qn[0]=nr>>>24&255,qn[1]=nr>>>16&255,qn[2]=nr>>>8&255,qn[3]=nr&255,qn.set(Mt.types.mdat,4));for(let tr=0;tr1&&(Pn=We.pop(),Qn-=Pn.length),this._videoStashedLastSample!=null){let On=this._videoStashedLastSample;this._videoStashedLastSample=null,We.unshift(On),Qn+=On.length}Pn!=null&&(this._videoStashedLastSample=Pn);let qn=We[0].dts-this._dtsBase;if(this._videoNextDts)Ye=qn-this._videoNextDts;else if(this._videoSegmentInfoList.isEmpty())Ye=0;else{let On=this._videoSegmentInfoList.getLastSampleBefore(qn);if(On!=null){let Un=qn-(On.originalDts+On.duration);Un<=3&&(Un=0);let sr=On.dts+On.duration+Un;Ye=qn-sr}else Ye=0}let nr=new Vn,fr=[];for(let On=0;On=1?Ln=fr[fr.length-1].duration:Ln=Math.floor(this._videoMeta.refSampleDuration),Ar){let pr=new Hn(tr,cr,Ln,Un.dts,!0);pr.fileposition=Un.fileposition,nr.appendSyncPoint(pr)}fr.push({dts:tr,pts:cr,cts:ur,units:Un.units,size:Un.length,isKeyframe:Ar,duration:Ln,originalDts:sr,flags:{isLeading:0,dependsOn:Ar?2:1,isDependedOn:Ar?1:0,hasRedundancy:0,isNonSync:Ar?0:1}})}gn=new Uint8Array(Qn),gn[0]=Qn>>>24&255,gn[1]=Qn>>>16&255,gn[2]=Qn>>>8&255,gn[3]=Qn&255,gn.set(Mt.types.mdat,4);for(let On=0;On{We.timestampBase=Te,Te+=We.duration,We.cors=Me.cors,We.withCredentials=Me.withCredentials,Oe.referrerPolicy&&(We.referrerPolicy=Oe.referrerPolicy)}),!isNaN(Te)&&this._mediaDataSource.duration!==Te&&(this._mediaDataSource.duration=Te),this._mediaInfo=null,this._demuxer=null,this._remuxer=null,this._ioctl=null,this._pendingSeekTime=null,this._pendingResolveSeekPoint=null,this._statisticsReporter=null}destroy(){this._mediaInfo=null,this._mediaDataSource=null,this._statisticsReporter&&this._disableStatisticsReporter(),this._ioctl&&(this._ioctl.destroy(),this._ioctl=null),this._demuxer&&(this._demuxer.destroy(),this._demuxer=null),this._remuxer&&(this._remuxer.destroy(),this._remuxer=null),this._emitter.removeAllListeners(),this._emitter=null}on(Me,Oe){this._emitter.addListener(Me,Oe)}off(Me,Oe){this._emitter.removeListener(Me,Oe)}start(){this._loadSegment(0),this._enableStatisticsReporter()}_loadSegment(Me,Oe){this._currentSegmentIndex=Me;let Te=this._mediaDataSource.segments[Me],We=this._ioctl=new qe(Te,this._config,Me);We.onError=this._onIOException.bind(this),We.onSeeked=this._onIOSeeked.bind(this),We.onComplete=this._onIOComplete.bind(this),We.onRedirect=this._onIORedirect.bind(this),We.onRecoveredEarlyEof=this._onIORecoveredEarlyEof.bind(this),Oe?this._demuxer.bindDataSource(this._ioctl):We.onDataArrival=this._onInitChunkArrival.bind(this),We.open(Oe)}stop(){this._internalAbort(),this._disableStatisticsReporter()}_internalAbort(){this._ioctl&&(this._ioctl.destroy(),this._ioctl=null)}pause(){this._ioctl&&this._ioctl.isWorking()&&(this._ioctl.pause(),this._disableStatisticsReporter())}resume(){this._ioctl&&this._ioctl.isPaused()&&(this._ioctl.resume(),this._enableStatisticsReporter())}seek(Me){if(this._mediaInfo==null||!this._mediaInfo.isSeekable())return;let Oe=this._searchSegmentIndexContains(Me);if(Oe===this._currentSegmentIndex){let Te=this._mediaInfo.segments[Oe];if(Te==null)this._pendingSeekTime=Me;else{let We=Te.getNearestKeyframe(Me);this._remuxer.seek(We.milliseconds),this._ioctl.seek(We.fileposition),this._pendingResolveSeekPoint=We.milliseconds}}else{let Te=this._mediaInfo.segments[Oe];if(Te==null)this._pendingSeekTime=Me,this._internalAbort(),this._remuxer.seek(),this._remuxer.insertDiscontinuity(),this._loadSegment(Oe);else{let We=Te.getNearestKeyframe(Me);this._internalAbort(),this._remuxer.seek(Me),this._remuxer.insertDiscontinuity(),this._demuxer.resetMediaInfo(),this._demuxer.timestampBase=this._mediaDataSource.segments[Oe].timestampBase,this._loadSegment(Oe,We.fileposition),this._pendingResolveSeekPoint=We.milliseconds,this._reportSegmentMediaInfo(Oe)}}this._enableStatisticsReporter()}_searchSegmentIndexContains(Me){let Oe=this._mediaDataSource.segments,Te=Oe.length-1;for(let We=0;We0)this._demuxer.bindDataSource(this._ioctl),this._demuxer.timestampBase=this._mediaDataSource.segments[this._currentSegmentIndex].timestampBase,We=this._demuxer.parseChunks(Me,Oe);else if((Te=Xt.probe(Me)).match){this._demuxer=new Xt(Te,this._config),this._remuxer||(this._remuxer=new vn(this._config));let Ye=this._mediaDataSource;Ye.duration!=null&&!isNaN(Ye.duration)&&(this._demuxer.overridedDuration=Ye.duration),typeof Ye.hasAudio=="boolean"&&(this._demuxer.overridedHasAudio=Ye.hasAudio),typeof Ye.hasVideo=="boolean"&&(this._demuxer.overridedHasVideo=Ye.hasVideo),this._demuxer.timestampBase=Ye.segments[this._currentSegmentIndex].timestampBase,this._demuxer.onError=this._onDemuxException.bind(this),this._demuxer.onMediaInfo=this._onMediaInfo.bind(this),this._demuxer.onMetaDataArrived=this._onMetaDataArrived.bind(this),this._demuxer.onScriptDataArrived=this._onScriptDataArrived.bind(this),this._remuxer.bindDataSource(this._demuxer.bindDataSource(this._ioctl)),this._remuxer.onInitSegment=this._onRemuxerInitSegmentArrival.bind(this),this._remuxer.onMediaSegment=this._onRemuxerMediaSegmentArrival.bind(this),We=this._demuxer.parseChunks(Me,Oe)}else Te=null,Pe.e(this.TAG,"Non-FLV, Unsupported media type!"),Promise.resolve().then(()=>{this._internalAbort()}),this._emitter.emit(Tn.DEMUX_ERROR,It.FORMAT_UNSUPPORTED,"Non-FLV, Unsupported media type"),We=0;return We}_onMediaInfo(Me){this._mediaInfo==null&&(this._mediaInfo=Object.assign({},Me),this._mediaInfo.keyframesIndex=null,this._mediaInfo.segments=[],this._mediaInfo.segmentCount=this._mediaDataSource.segments.length,Object.setPrototypeOf(this._mediaInfo,Wt.prototype));let Oe=Object.assign({},Me);Object.setPrototypeOf(Oe,Wt.prototype),this._mediaInfo.segments[this._currentSegmentIndex]=Oe,this._reportSegmentMediaInfo(this._currentSegmentIndex),this._pendingSeekTime!=null&&Promise.resolve().then(()=>{let Te=this._pendingSeekTime;this._pendingSeekTime=null,this.seek(Te)})}_onMetaDataArrived(Me){this._emitter.emit(Tn.METADATA_ARRIVED,Me)}_onScriptDataArrived(Me){this._emitter.emit(Tn.SCRIPTDATA_ARRIVED,Me)}_onIOSeeked(){this._remuxer.insertDiscontinuity()}_onIOComplete(Me){let Te=Me+1;Te0&&Te[0].originalDts===We&&(We=Te[0].pts),this._emitter.emit(Tn.RECOMMEND_SEEKPOINT,We)}}_enableStatisticsReporter(){this._statisticsReporter==null&&(this._statisticsReporter=self.setInterval(this._reportStatisticsInfo.bind(this),this._config.statisticsInfoReportInterval))}_disableStatisticsReporter(){this._statisticsReporter&&(self.clearInterval(this._statisticsReporter),this._statisticsReporter=null)}_reportSegmentMediaInfo(Me){let Oe=this._mediaInfo.segments[Me],Te=Object.assign({},Oe);Te.duration=this._mediaInfo.duration,Te.segmentCount=this._mediaInfo.segmentCount,delete Te.segments,delete Te.keyframesIndex,this._emitter.emit(Tn.MEDIA_INFO,Te)}_reportStatisticsInfo(){let Me={};Me.url=this._ioctl.currentURL,Me.hasRedirect=this._ioctl.hasRedirect,Me.hasRedirect&&(Me.redirectedURL=this._ioctl.currentRedirectedURL),Me.speed=this._ioctl.currentSpeed,Me.loaderType=this._ioctl.loaderType,Me.currentSegmentIndex=this._currentSegmentIndex,Me.totalSegmentCount=this._mediaDataSource.segments.length,this._emitter.emit(Tn.STATISTICS_INFO,Me)}}var jr=xr,Vr=function(bt){let Me="TransmuxingWorker",Oe=null,Te=nr.bind(this);He.install(),bt.addEventListener("message",function(fr){switch(fr.data.cmd){case"init":Oe=new jr(fr.data.param[0],fr.data.param[1]),Oe.on(Tn.IO_ERROR,Qn.bind(this)),Oe.on(Tn.DEMUX_ERROR,Pn.bind(this)),Oe.on(Tn.INIT_SEGMENT,We.bind(this)),Oe.on(Tn.MEDIA_SEGMENT,Ye.bind(this)),Oe.on(Tn.LOADING_COMPLETE,Et.bind(this)),Oe.on(Tn.RECOVERED_EARLY_EOF,Pt.bind(this)),Oe.on(Tn.MEDIA_INFO,qt.bind(this)),Oe.on(Tn.METADATA_ARRIVED,Vt.bind(this)),Oe.on(Tn.SCRIPTDATA_ARRIVED,fn.bind(this)),Oe.on(Tn.STATISTICS_INFO,gn.bind(this)),Oe.on(Tn.RECOMMEND_SEEKPOINT,qn.bind(this));break;case"destroy":Oe&&(Oe.destroy(),Oe=null),bt.postMessage({msg:"destroyed"});break;case"start":Oe.start();break;case"stop":Oe.stop();break;case"seek":Oe.seek(fr.data.param);break;case"pause":Oe.pause();break;case"resume":Oe.resume();break;case"logging_config":{let mn=fr.data.param;ht.applyConfig(mn),mn.enableCallback===!0?ht.addLogListener(Te):ht.removeLogListener(Te);break}}});function We(fr,mn){let rn={msg:Tn.INIT_SEGMENT,data:{type:fr,data:mn}};bt.postMessage(rn,[mn.data])}function Ye(fr,mn){let rn={msg:Tn.MEDIA_SEGMENT,data:{type:fr,data:mn}};bt.postMessage(rn,[mn.data])}function Et(){let fr={msg:Tn.LOADING_COMPLETE};bt.postMessage(fr)}function Pt(){let fr={msg:Tn.RECOVERED_EARLY_EOF};bt.postMessage(fr)}function qt(fr){let mn={msg:Tn.MEDIA_INFO,data:fr};bt.postMessage(mn)}function Vt(fr){let mn={msg:Tn.METADATA_ARRIVED,data:fr};bt.postMessage(mn)}function fn(fr){let mn={msg:Tn.SCRIPTDATA_ARRIVED,data:fr};bt.postMessage(mn)}function gn(fr){let mn={msg:Tn.STATISTICS_INFO,data:fr};bt.postMessage(mn)}function Qn(fr,mn){bt.postMessage({msg:Tn.IO_ERROR,data:{type:fr,info:mn}})}function Pn(fr,mn){bt.postMessage({msg:Tn.DEMUX_ERROR,data:{type:fr,info:mn}})}function qn(fr){bt.postMessage({msg:Tn.RECOMMEND_SEEKPOINT,data:fr})}function nr(fr,mn){bt.postMessage({msg:"logcat_callback",data:{type:fr,logcat:mn}})}};class Da{constructor(Me,Oe){if(this.TAG="Transmuxer",this._emitter=new(Ce()),Oe.enableWorker&&typeof Worker!="undefined")try{let Te=Ie(82059);this._worker=Te(Vr),this._workerDestroying=!1,this._worker.addEventListener("message",this._onWorkerMessage.bind(this)),this._worker.postMessage({cmd:"init",param:[Me,Oe]}),this.e={onLoggingConfigChanged:this._onLoggingConfigChanged.bind(this)},ht.registerListener(this.e.onLoggingConfigChanged),this._worker.postMessage({cmd:"logging_config",param:ht.getConfig()})}catch(Te){Pe.e(this.TAG,"Error while initialize transmuxing worker, fallback to inline transmuxing"),this._worker=null,this._controller=new jr(Me,Oe)}else this._controller=new jr(Me,Oe);if(this._controller){let Te=this._controller;Te.on(Tn.IO_ERROR,this._onIOError.bind(this)),Te.on(Tn.DEMUX_ERROR,this._onDemuxError.bind(this)),Te.on(Tn.INIT_SEGMENT,this._onInitSegment.bind(this)),Te.on(Tn.MEDIA_SEGMENT,this._onMediaSegment.bind(this)),Te.on(Tn.LOADING_COMPLETE,this._onLoadingComplete.bind(this)),Te.on(Tn.RECOVERED_EARLY_EOF,this._onRecoveredEarlyEof.bind(this)),Te.on(Tn.MEDIA_INFO,this._onMediaInfo.bind(this)),Te.on(Tn.METADATA_ARRIVED,this._onMetaDataArrived.bind(this)),Te.on(Tn.SCRIPTDATA_ARRIVED,this._onScriptDataArrived.bind(this)),Te.on(Tn.STATISTICS_INFO,this._onStatisticsInfo.bind(this)),Te.on(Tn.RECOMMEND_SEEKPOINT,this._onRecommendSeekpoint.bind(this))}}destroy(){this._worker?this._workerDestroying||(this._workerDestroying=!0,this._worker.postMessage({cmd:"destroy"}),ht.removeListener(this.e.onLoggingConfigChanged),this.e=null):(this._controller.destroy(),this._controller=null),this._emitter.removeAllListeners(),this._emitter=null}on(Me,Oe){this._emitter.addListener(Me,Oe)}off(Me,Oe){this._emitter.removeListener(Me,Oe)}hasWorker(){return this._worker!=null}open(){this._worker?this._worker.postMessage({cmd:"start"}):this._controller.start()}close(){this._worker?this._worker.postMessage({cmd:"stop"}):this._controller.stop()}seek(Me){this._worker?this._worker.postMessage({cmd:"seek",param:Me}):this._controller.seek(Me)}pause(){this._worker?this._worker.postMessage({cmd:"pause"}):this._controller.pause()}resume(){this._worker?this._worker.postMessage({cmd:"resume"}):this._controller.resume()}_onInitSegment(Me,Oe){Promise.resolve().then(()=>{this._emitter.emit(Tn.INIT_SEGMENT,Me,Oe)})}_onMediaSegment(Me,Oe){Promise.resolve().then(()=>{this._emitter.emit(Tn.MEDIA_SEGMENT,Me,Oe)})}_onLoadingComplete(){Promise.resolve().then(()=>{this._emitter.emit(Tn.LOADING_COMPLETE)})}_onRecoveredEarlyEof(){Promise.resolve().then(()=>{this._emitter.emit(Tn.RECOVERED_EARLY_EOF)})}_onMediaInfo(Me){Promise.resolve().then(()=>{this._emitter.emit(Tn.MEDIA_INFO,Me)})}_onMetaDataArrived(Me){Promise.resolve().then(()=>{this._emitter.emit(Tn.METADATA_ARRIVED,Me)})}_onScriptDataArrived(Me){Promise.resolve().then(()=>{this._emitter.emit(Tn.SCRIPTDATA_ARRIVED,Me)})}_onStatisticsInfo(Me){Promise.resolve().then(()=>{this._emitter.emit(Tn.STATISTICS_INFO,Me)})}_onIOError(Me,Oe){Promise.resolve().then(()=>{this._emitter.emit(Tn.IO_ERROR,Me,Oe)})}_onDemuxError(Me,Oe){Promise.resolve().then(()=>{this._emitter.emit(Tn.DEMUX_ERROR,Me,Oe)})}_onRecommendSeekpoint(Me){Promise.resolve().then(()=>{this._emitter.emit(Tn.RECOMMEND_SEEKPOINT,Me)})}_onLoggingConfigChanged(Me){this._worker&&this._worker.postMessage({cmd:"logging_config",param:Me})}_onWorkerMessage(Me){let Oe=Me.data,Te=Oe.data;if(Oe.msg==="destroyed"||this._workerDestroying){this._workerDestroying=!1,this._worker.terminate(),this._worker=null;return}switch(Oe.msg){case Tn.INIT_SEGMENT:case Tn.MEDIA_SEGMENT:this._emitter.emit(Oe.msg,Te.type,Te.data);break;case Tn.LOADING_COMPLETE:case Tn.RECOVERED_EARLY_EOF:this._emitter.emit(Oe.msg);break;case Tn.MEDIA_INFO:Object.setPrototypeOf(Te,Wt.prototype),this._emitter.emit(Oe.msg,Te);break;case Tn.METADATA_ARRIVED:case Tn.SCRIPTDATA_ARRIVED:case Tn.STATISTICS_INFO:this._emitter.emit(Oe.msg,Te);break;case Tn.IO_ERROR:case Tn.DEMUX_ERROR:this._emitter.emit(Oe.msg,Te.type,Te.info);break;case Tn.RECOMMEND_SEEKPOINT:this._emitter.emit(Oe.msg,Te);break;case"logcat_callback":Pe.emitter.emit("log",Te.type,Te.logcat);break;default:break}}}var Ya=Da,Ia={ERROR:"error",SOURCE_OPEN:"source_open",UPDATE_END:"update_end",BUFFER_FULL:"buffer_full"};class wi{constructor(Me){this.TAG="MSEController",this._config=Me,this._emitter=new(Ce()),this._config.isLive&&this._config.autoCleanupSourceBuffer==null&&(this._config.autoCleanupSourceBuffer=!0),this.e={onSourceOpen:this._onSourceOpen.bind(this),onSourceEnded:this._onSourceEnded.bind(this),onSourceClose:this._onSourceClose.bind(this),onSourceBufferError:this._onSourceBufferError.bind(this),onSourceBufferUpdateEnd:this._onSourceBufferUpdateEnd.bind(this)},this._mediaSource=null,this._mediaSourceObjectURL=null,this._mediaElement=null,this._isBufferFull=!1,this._hasPendingEos=!1,this._requireSetMediaDuration=!1,this._pendingMediaDuration=0,this._pendingSourceBufferInit=[],this._mimeTypes={video:null,audio:null},this._sourceBuffers={video:null,audio:null},this._lastInitSegments={video:null,audio:null},this._pendingSegments={video:[],audio:[]},this._pendingRemoveRanges={video:[],audio:[]},this._idrList=new Kn}destroy(){(this._mediaElement||this._mediaSource)&&this.detachMediaElement(),this.e=null,this._emitter.removeAllListeners(),this._emitter=null}on(Me,Oe){this._emitter.addListener(Me,Oe)}off(Me,Oe){this._emitter.removeListener(Me,Oe)}attachMediaElement(Me){if(this._mediaSource)throw new we("MediaSource has been attached to an HTMLMediaElement!");let Oe=this._mediaSource=new window.MediaSource;Oe.addEventListener("sourceopen",this.e.onSourceOpen),Oe.addEventListener("sourceended",this.e.onSourceEnded),Oe.addEventListener("sourceclose",this.e.onSourceClose),this._mediaElement=Me,this._mediaSourceObjectURL=window.URL.createObjectURL(this._mediaSource),Me.src=this._mediaSourceObjectURL}detachMediaElement(){if(this._mediaSource){let Me=this._mediaSource;for(let Oe in this._sourceBuffers){let Te=this._pendingSegments[Oe];Te.splice(0,Te.length),this._pendingSegments[Oe]=null,this._pendingRemoveRanges[Oe]=null,this._lastInitSegments[Oe]=null;let We=this._sourceBuffers[Oe];if(We){if(Me.readyState!=="closed"){try{Me.removeSourceBuffer(We)}catch(Ye){Pe.e(this.TAG,Ye.message)}We.removeEventListener("error",this.e.onSourceBufferError),We.removeEventListener("updateend",this.e.onSourceBufferUpdateEnd)}this._mimeTypes[Oe]=null,this._sourceBuffers[Oe]=null}}if(Me.readyState==="open")try{Me.endOfStream()}catch(Oe){Pe.e(this.TAG,Oe.message)}Me.removeEventListener("sourceopen",this.e.onSourceOpen),Me.removeEventListener("sourceended",this.e.onSourceEnded),Me.removeEventListener("sourceclose",this.e.onSourceClose),this._pendingSourceBufferInit=[],this._isBufferFull=!1,this._idrList.clear(),this._mediaSource=null}this._mediaElement&&(this._mediaElement.src="",this._mediaElement.removeAttribute("src"),this._mediaElement=null),this._mediaSourceObjectURL&&(window.URL.revokeObjectURL(this._mediaSourceObjectURL),this._mediaSourceObjectURL=null)}appendInitSegment(Me,Oe){if(!this._mediaSource||this._mediaSource.readyState!=="open"){this._pendingSourceBufferInit.push(Me),this._pendingSegments[Me.type].push(Me);return}let Te=Me,We=`${Te.container}`;Te.codec&&Te.codec.length>0&&(We+=`;codecs=${Te.codec}`);let Ye=!1;if(Pe.v(this.TAG,"Received Initialization Segment, mimeType: "+We),this._lastInitSegments[Te.type]=Te,We!==this._mimeTypes[Te.type]){if(this._mimeTypes[Te.type])Pe.v(this.TAG,`Notice: ${Te.type} mimeType changed, origin: ${this._mimeTypes[Te.type]}, target: ${We}`);else{Ye=!0;try{let Et=this._sourceBuffers[Te.type]=this._mediaSource.addSourceBuffer(We);Et.addEventListener("error",this.e.onSourceBufferError),Et.addEventListener("updateend",this.e.onSourceBufferUpdateEnd)}catch(Et){Pe.e(this.TAG,Et.message),this._emitter.emit(Ia.ERROR,{code:Et.code,msg:Et.message});return}}this._mimeTypes[Te.type]=We}Oe||this._pendingSegments[Te.type].push(Te),Ye||this._sourceBuffers[Te.type]&&!this._sourceBuffers[Te.type].updating&&this._doAppendSegments(),oe.safari&&Te.container==="audio/mpeg"&&Te.mediaDuration>0&&(this._requireSetMediaDuration=!0,this._pendingMediaDuration=Te.mediaDuration/1e3,this._updateMediaSourceDuration())}appendMediaSegment(Me){let Oe=Me;this._pendingSegments[Oe.type].push(Oe),this._config.autoCleanupSourceBuffer&&this._needCleanupSourceBuffer()&&this._doCleanupSourceBuffer();let Te=this._sourceBuffers[Oe.type];Te&&!Te.updating&&!this._hasPendingRemoveRanges()&&this._doAppendSegments()}seek(Me){for(let Oe in this._sourceBuffers){if(!this._sourceBuffers[Oe])continue;let Te=this._sourceBuffers[Oe];if(this._mediaSource.readyState==="open")try{Te.abort()}catch(Ye){Pe.e(this.TAG,Ye.message)}this._idrList.clear();let We=this._pendingSegments[Oe];if(We.splice(0,We.length),this._mediaSource.readyState!=="closed"){for(let Ye=0;Ye=1&&Me-We.start(0)>=this._config.autoCleanupMaxBackwardDuration)return!0}}return!1}_doCleanupSourceBuffer(){let Me=this._mediaElement.currentTime;for(let Oe in this._sourceBuffers){let Te=this._sourceBuffers[Oe];if(Te){let We=Te.buffered,Ye=!1;for(let Et=0;Et=this._config.autoCleanupMaxBackwardDuration){Ye=!0;let Vt=Me-this._config.autoCleanupMinBackwardDuration;this._pendingRemoveRanges[Oe].push({start:Pt,end:Vt})}}else qt0&&(isNaN(Oe)||Te>Oe)&&(Pe.v(this.TAG,`Update MediaSource duration from ${Oe} to ${Te}`),this._mediaSource.duration=Te),this._requireSetMediaDuration=!1,this._pendingMediaDuration=0}_doRemoveRanges(){for(let Me in this._pendingRemoveRanges){if(!this._sourceBuffers[Me]||this._sourceBuffers[Me].updating)continue;let Oe=this._sourceBuffers[Me],Te=this._pendingRemoveRanges[Me];for(;Te.length&&!Oe.updating;){let We=Te.shift();Oe.remove(We.start,We.end)}}}_doAppendSegments(){let Me=this._pendingSegments;for(let Oe in Me)if(!(!this._sourceBuffers[Oe]||this._sourceBuffers[Oe].updating)&&Me[Oe].length>0){let Te=Me[Oe].shift();if(Te.timestampOffset){let We=this._sourceBuffers[Oe].timestampOffset,Ye=Te.timestampOffset/1e3;Math.abs(We-Ye)>.1&&(Pe.v(this.TAG,`Update MPEG audio timestampOffset from ${We} to ${Ye}`),this._sourceBuffers[Oe].timestampOffset=Ye),delete Te.timestampOffset}if(!Te.data||Te.data.byteLength===0)continue;try{this._sourceBuffers[Oe].appendBuffer(Te.data),this._isBufferFull=!1,Oe==="video"&&Te.hasOwnProperty("info")&&this._idrList.appendArray(Te.info.syncPoints)}catch(We){this._pendingSegments[Oe].unshift(Te),We.code===22?(this._isBufferFull||this._emitter.emit(Ia.BUFFER_FULL),this._isBufferFull=!0):(Pe.e(this.TAG,We.message),this._emitter.emit(Ia.ERROR,{code:We.code,msg:We.message}))}}}_onSourceOpen(){if(Pe.v(this.TAG,"MediaSource onSourceOpen"),this._mediaSource.removeEventListener("sourceopen",this.e.onSourceOpen),this._pendingSourceBufferInit.length>0){let Me=this._pendingSourceBufferInit;for(;Me.length;){let Oe=Me.shift();this.appendInitSegment(Oe,!0)}}this._hasPendingSegments()&&this._doAppendSegments(),this._emitter.emit(Ia.SOURCE_OPEN)}_onSourceEnded(){Pe.v(this.TAG,"MediaSource onSourceEnded")}_onSourceClose(){Pe.v(this.TAG,"MediaSource onSourceClose"),this._mediaSource&&this.e!=null&&(this._mediaSource.removeEventListener("sourceopen",this.e.onSourceOpen),this._mediaSource.removeEventListener("sourceended",this.e.onSourceEnded),this._mediaSource.removeEventListener("sourceclose",this.e.onSourceClose))}_hasPendingSegments(){let Me=this._pendingSegments;return Me.video.length>0||Me.audio.length>0}_hasPendingRemoveRanges(){let Me=this._pendingRemoveRanges;return Me.video.length>0||Me.audio.length>0}_onSourceBufferUpdateEnd(){this._requireSetMediaDuration?this._updateMediaSourceDuration():this._hasPendingRemoveRanges()?this._doRemoveRanges():this._hasPendingSegments()?this._doAppendSegments():this._hasPendingEos&&this.endOfStream(),this._emitter.emit(Ia.UPDATE_END)}_onSourceBufferError(Me){Pe.e(this.TAG,`SourceBuffer Error: ${Me}`)}}var bi=wi;const Kr={NETWORK_ERROR:"NetworkError",MEDIA_ERROR:"MediaError",OTHER_ERROR:"OtherError"},Qa={NETWORK_EXCEPTION:ce.EXCEPTION,NETWORK_STATUS_CODE_INVALID:ce.HTTP_STATUS_CODE_INVALID,NETWORK_TIMEOUT:ce.CONNECTING_TIMEOUT,NETWORK_UNRECOVERABLE_EARLY_EOF:ce.UNRECOVERABLE_EARLY_EOF,MEDIA_MSE_ERROR:"MediaMSEError",MEDIA_FORMAT_ERROR:It.FORMAT_ERROR,MEDIA_FORMAT_UNSUPPORTED:It.FORMAT_UNSUPPORTED,MEDIA_CODEC_UNSUPPORTED:It.CODEC_UNSUPPORTED};class li{constructor(Me,Oe){if(this.TAG="FlvPlayer",this._type="FlvPlayer",this._emitter=new(Ce()),this._config=at(),typeof Oe=="object"&&Object.assign(this._config,Oe),Me.type.toLowerCase()!=="flv")throw new pe("FlvPlayer requires an flv MediaDataSource input!");Me.isLive===!0&&(this._config.isLive=!0),this.e={onvLoadedMetadata:this._onvLoadedMetadata.bind(this),onvSeeking:this._onvSeeking.bind(this),onvCanPlay:this._onvCanPlay.bind(this),onvStalled:this._onvStalled.bind(this),onvProgress:this._onvProgress.bind(this)},self.performance&&self.performance.now?this._now=self.performance.now.bind(self.performance):this._now=Date.now,this._pendingSeekTime=null,this._requestSetTime=!1,this._seekpointRecord=null,this._progressChecker=null,this._mediaDataSource=Me,this._mediaElement=null,this._msectl=null,this._transmuxer=null,this._mseSourceOpened=!1,this._hasPendingLoad=!1,this._receivedCanPlay=!1,this._mediaInfo=null,this._statisticsInfo=null;let Te=oe.chrome&&(oe.version.major<50||oe.version.major===50&&oe.version.build<2661);this._alwaysSeekKeyframe=!!(Te||oe.msedge||oe.msie),this._alwaysSeekKeyframe&&(this._config.accurateSeek=!1)}destroy(){this._progressChecker!=null&&(window.clearInterval(this._progressChecker),this._progressChecker=null),this._transmuxer&&this.unload(),this._mediaElement&&this.detachMediaElement(),this.e=null,this._mediaDataSource=null,this._emitter.removeAllListeners(),this._emitter=null}on(Me,Oe){Me===yt.MEDIA_INFO?this._mediaInfo!=null&&Promise.resolve().then(()=>{this._emitter.emit(yt.MEDIA_INFO,this.mediaInfo)}):Me===yt.STATISTICS_INFO&&this._statisticsInfo!=null&&Promise.resolve().then(()=>{this._emitter.emit(yt.STATISTICS_INFO,this.statisticsInfo)}),this._emitter.addListener(Me,Oe)}off(Me,Oe){this._emitter.removeListener(Me,Oe)}attachMediaElement(Me){if(this._mediaElement=Me,Me.addEventListener("loadedmetadata",this.e.onvLoadedMetadata),Me.addEventListener("seeking",this.e.onvSeeking),Me.addEventListener("canplay",this.e.onvCanPlay),Me.addEventListener("stalled",this.e.onvStalled),Me.addEventListener("progress",this.e.onvProgress),this._msectl=new bi(this._config),this._msectl.on(Ia.UPDATE_END,this._onmseUpdateEnd.bind(this)),this._msectl.on(Ia.BUFFER_FULL,this._onmseBufferFull.bind(this)),this._msectl.on(Ia.SOURCE_OPEN,()=>{this._mseSourceOpened=!0,this._hasPendingLoad&&(this._hasPendingLoad=!1,this.load())}),this._msectl.on(Ia.ERROR,Oe=>{this._emitter.emit(yt.ERROR,Kr.MEDIA_ERROR,Qa.MEDIA_MSE_ERROR,Oe)}),this._msectl.attachMediaElement(Me),this._pendingSeekTime!=null)try{Me.currentTime=this._pendingSeekTime,this._pendingSeekTime=null}catch(Oe){}}detachMediaElement(){this._mediaElement&&(this._msectl.detachMediaElement(),this._mediaElement.removeEventListener("loadedmetadata",this.e.onvLoadedMetadata),this._mediaElement.removeEventListener("seeking",this.e.onvSeeking),this._mediaElement.removeEventListener("canplay",this.e.onvCanPlay),this._mediaElement.removeEventListener("stalled",this.e.onvStalled),this._mediaElement.removeEventListener("progress",this.e.onvProgress),this._mediaElement=null),this._msectl&&(this._msectl.destroy(),this._msectl=null)}load(){if(!this._mediaElement)throw new we("HTMLMediaElement must be attached before load()!");if(this._transmuxer)throw new we("FlvPlayer.load() has been called, please call unload() first!");if(!this._hasPendingLoad){if(this._config.deferLoadAfterSourceOpen&&this._mseSourceOpened===!1){this._hasPendingLoad=!0;return}this._mediaElement.readyState>0&&(this._requestSetTime=!0,this._mediaElement.currentTime=0),this._transmuxer=new Ya(this._mediaDataSource,this._config),this._transmuxer.on(Tn.INIT_SEGMENT,(Me,Oe)=>{this._msectl.appendInitSegment(Oe)}),this._transmuxer.on(Tn.MEDIA_SEGMENT,(Me,Oe)=>{if(this._msectl.appendMediaSegment(Oe),this._config.lazyLoad&&!this._config.isLive){let Te=this._mediaElement.currentTime;Oe.info.endDts>=(Te+this._config.lazyLoadMaxDuration)*1e3&&this._progressChecker==null&&(Pe.v(this.TAG,"Maximum buffering duration exceeded, suspend transmuxing task"),this._suspendTransmuxer())}}),this._transmuxer.on(Tn.LOADING_COMPLETE,()=>{this._msectl.endOfStream(),this._emitter.emit(yt.LOADING_COMPLETE)}),this._transmuxer.on(Tn.RECOVERED_EARLY_EOF,()=>{this._emitter.emit(yt.RECOVERED_EARLY_EOF)}),this._transmuxer.on(Tn.IO_ERROR,(Me,Oe)=>{this._emitter.emit(yt.ERROR,Kr.NETWORK_ERROR,Me,Oe)}),this._transmuxer.on(Tn.DEMUX_ERROR,(Me,Oe)=>{this._emitter.emit(yt.ERROR,Kr.MEDIA_ERROR,Me,{code:-1,msg:Oe})}),this._transmuxer.on(Tn.MEDIA_INFO,Me=>{this._mediaInfo=Me,this._emitter.emit(yt.MEDIA_INFO,Object.assign({},Me))}),this._transmuxer.on(Tn.METADATA_ARRIVED,Me=>{this._emitter.emit(yt.METADATA_ARRIVED,Me)}),this._transmuxer.on(Tn.SCRIPTDATA_ARRIVED,Me=>{this._emitter.emit(yt.SCRIPTDATA_ARRIVED,Me)}),this._transmuxer.on(Tn.STATISTICS_INFO,Me=>{this._statisticsInfo=this._fillStatisticsInfo(Me),this._emitter.emit(yt.STATISTICS_INFO,Object.assign({},this._statisticsInfo))}),this._transmuxer.on(Tn.RECOMMEND_SEEKPOINT,Me=>{this._mediaElement&&!this._config.accurateSeek&&(this._requestSetTime=!0,this._mediaElement.currentTime=Me/1e3)}),this._transmuxer.open()}}unload(){this._mediaElement&&this._mediaElement.pause(),this._msectl&&this._msectl.seek(0),this._transmuxer&&(this._transmuxer.close(),this._transmuxer.destroy(),this._transmuxer=null)}play(){return this._mediaElement.play()}pause(){this._mediaElement.pause()}get type(){return this._type}get buffered(){return this._mediaElement.buffered}get duration(){return this._mediaElement.duration}get volume(){return this._mediaElement.volume}set volume(Me){this._mediaElement.volume=Me}get muted(){return this._mediaElement.muted}set muted(Me){this._mediaElement.muted=Me}get currentTime(){return this._mediaElement?this._mediaElement.currentTime:0}set currentTime(Me){this._mediaElement?this._internalSeek(Me):this._pendingSeekTime=Me}get mediaInfo(){return Object.assign({},this._mediaInfo)}get statisticsInfo(){return this._statisticsInfo==null&&(this._statisticsInfo={}),this._statisticsInfo=this._fillStatisticsInfo(this._statisticsInfo),Object.assign({},this._statisticsInfo)}_fillStatisticsInfo(Me){if(Me.playerType=this._type,!(this._mediaElement instanceof HTMLVideoElement))return Me;let Oe=!0,Te=0,We=0;if(this._mediaElement.getVideoPlaybackQuality){let Ye=this._mediaElement.getVideoPlaybackQuality();Te=Ye.totalVideoFrames,We=Ye.droppedVideoFrames}else this._mediaElement.webkitDecodedFrameCount!=null?(Te=this._mediaElement.webkitDecodedFrameCount,We=this._mediaElement.webkitDroppedFrameCount):Oe=!1;return Oe&&(Me.decodedFrames=Te,Me.droppedFrames=We),Me}_onmseUpdateEnd(){if(!this._config.lazyLoad||this._config.isLive)return;let Me=this._mediaElement.buffered,Oe=this._mediaElement.currentTime,Te=0,We=0;for(let Ye=0;Ye=Oe+this._config.lazyLoadMaxDuration&&this._progressChecker==null&&(Pe.v(this.TAG,"Maximum buffering duration exceeded, suspend transmuxing task"),this._suspendTransmuxer())}_onmseBufferFull(){Pe.v(this.TAG,"MSE SourceBuffer is full, suspend transmuxing task"),this._progressChecker==null&&this._suspendTransmuxer()}_suspendTransmuxer(){this._transmuxer&&(this._transmuxer.pause(),this._progressChecker==null&&(this._progressChecker=window.setInterval(this._checkProgressAndResume.bind(this),1e3)))}_checkProgressAndResume(){let 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if(re==="show")Object.assign(me,{opacity:0}),Object.assign(Ae,{opacity:(x=E3(z,"opacity"))!==null&&x!==void 0?x:cv("opacity")});else if(re==="hide")Object.assign(me,{opacity:(b=E3(z,"opacity"))!==null&&b!==void 0?b:cv("opacity")}),Object.assign(Ae,{opacity:0});else if(re==="collapse"){const{collapse:Le}=y||{},{target:ke,descendants:We,position:je}=Le;if(ee==="node"){if(We.includes(z.id)){const[Ke,Ze,Je]=je;Object.assign(Ae,{x:Ke,y:Ze,z:Je})}}else if(ee==="combo"){if(z.id===ke||We.includes(z.id)){const[Ke,Ze]=je;Object.assign(Ae,{x:Ke,y:Ze,childrenNode:ae.childrenNode})}}else ee==="edge"&&Object.assign(Ae,{sourceNode:fe.sourceNode,targetNode:fe.targetNode})}else if(re==="expand"){const{expand:Le}=y||{},{target:ke,descendants:We,position:je}=Le;if(ee==="node"){if(z.id===ke||We.includes(z.id)){const[Ke,Ze,Je]=je;Object.assign(me,{x:Ke,y:Ze,z:Je})}}else if(ee==="combo"){if(z.id===ke||We.includes(z.id)){const[Ke,Ze,Je]=je;Object.assign(me,{x:Ke,y:Ze,z:Je,childrenNode:fe.childrenNode})}}else ee==="edge"&&Object.assign(me,{sourceNode:fe.sourceNode,targetNode:fe.targetNode})}return[Object.keys(me).length>0?Object.assign({},ae,me):ae,Object.keys(Ae).length>0?Object.assign({},fe,Ae):fe]}stop(){this.animations.forEach(a=>a.cancel())}clear(){this.tasks=[]}release(){var a,y;const{canvas:x}=this.context,b=(y=(a=x.document)===null||a===void 0?void 0:a.timeline)===null||y===void 0?void 0:y.animationsWithPromises;b&&(x.document.timeline.animationsWithPromises=b.filter(z=>z.playState!=="finished"))}destroy(){this.stop(),this.animations.clear(),this.tasks=[]}}class DV{constructor(a){this.batchCount=0,this.context=a}emit(a){const{graph:y}=this.context;y.emit(a.type,a)}startBatch(a=!0){this.batchCount++,this.batchCount===1&&this.emit(new iu(gi.BATCH_START,{initiate:a}))}endBatch(){this.batchCount--,this.batchCount===0&&this.emit(new iu(gi.BATCH_END))}get isBatching(){return this.batchCount>0}destroy(){this.context=null}}class IV extends bA{constructor(a){super(a),this.currentTarget=null,this.currentTargetType=null,this.category="behavior",this.forwardCanvasEvents=y=>{const{target:x}=y,b=CV(x);if(!b)return;const{graph:z,canvas:ee}=this.context,{type:re,element:ae}=b;if("destroyed"in ae&&(wv(ae)||ae.destroyed))return;const{type:se,detail:fe,button:me}=y,Ae=Object.assign(Object.assign({},y),{target:ae,targetType:re,originalTarget:x});se===Ea.POINTER_MOVE&&(this.currentTarget!==ae&&(this.currentTarget&&z.emit(`${this.currentTargetType}:${Ea.POINTER_LEAVE}`,Object.assign(Object.assign({},Ae),{type:Ea.POINTER_LEAVE,target:this.currentTarget,targetType:this.currentTargetType})),ae&&(Object.assign(Ae,{type:Ea.POINTER_ENTER}),z.emit(`${re}:${Ea.POINTER_ENTER}`,Ae))),this.currentTarget=ae,this.currentTargetType=re),se===Ea.CLICK&&me===2||(z.emit(`${re}:${se}`,Ae),z.emit(se,Ae)),se===Ea.CLICK&&fe===2&&(Object.assign(Ae,{type:Ea.DBLCLICK}),z.emit(`${re}:${Ea.DBLCLICK}`,Ae),z.emit(Ea.DBLCLICK,Ae)),se===Ea.POINTER_DOWN&&me===2&&(Object.assign(Ae,{type:Ea.CONTEXT_MENU,preventDefault:()=>{var Le;(Le=ee.getContainer())===null||Le===void 0||Le.addEventListener(Ea.CONTEXT_MENU,ke=>ke.preventDefault(),{once:!0})}}),z.emit(`${re}:${Ea.CONTEXT_MENU}`,Ae),z.emit(Ea.CONTEXT_MENU,Ae))},this.forwardContainerEvents=y=>{this.context.graph.emit(y.type,y)},this.forwardEvents(),this.setBehaviors(this.context.options.behaviors||[])}setBehaviors(a){this.setExtensions(a)}forwardEvents(){const a=this.context.canvas.getContainer();a&&[l0.KEY_DOWN,l0.KEY_UP].forEach(x=>{a.addEventListener(x,this.forwardContainerEvents)});const y=this.context.canvas.document;y&&[Ea.CLICK,Ea.DBLCLICK,Ea.POINTER_OVER,Ea.POINTER_LEAVE,Ea.POINTER_ENTER,Ea.POINTER_MOVE,Ea.POINTER_OUT,Ea.POINTER_DOWN,Ea.POINTER_UP,Ea.CONTEXT_MENU,Ea.DRAG_START,Ea.DRAG,Ea.DRAG_END,Ea.DRAG_ENTER,Ea.DRAG_OVER,Ea.DRAG_LEAVE,Ea.DROP,Ea.WHEEL].forEach(x=>{y.addEventListener(x,this.forwardCanvasEvents)})}destroy(){const a=this.context.canvas.getContainer();a&&[l0.KEY_DOWN,l0.KEY_UP].forEach(y=>{a.removeEventListener(y,this.forwardContainerEvents)}),this.context.canvas.document.removeAllEventListeners(),super.destroy()}}function OV(E,a){a===void 0&&(a=new Map);var y=[];if(Array.isArray(E))for(var x=0,b=E.length;xke.length!==We.length?!1:ke.every((je,Ke)=>je===We[Ke]),Le=(ke,We)=>{const je=Object.keys(ke),Ke=Object.keys(We);return je.length!==Ke.length?!1:je.every(Ze=>ke[Ze]===We[Ze])};return!(!Le(ee,me)||!Ae(z,fe)||!Ae(y,re)||!Le(x,ae)||!Le(b,se))}var TV=function(E,a){var y={};for(var x in E)Object.prototype.hasOwnProperty.call(E,x)&&a.indexOf(x)<0&&(y[x]=E[x]);if(E!=null&&typeof Object.getOwnPropertySymbols=="function")for(var b=0,x=Object.getOwnPropertySymbols(E);b0}silence(a){this.isTraceless=!0,a(),this.isTraceless=!1}isCombo(a){return this.comboIds.has(a)||this.latestRemovedComboIds.has(a)}getData(){return{nodes:this.getNodeData(),edges:this.getEdgeData(),combos:this.getComboData()}}getNodeData(a){return this.model.getAllNodes().reduce((y,x)=>{const b=Cu(x);return this.isCombo(Nr(b))||(a===void 0||a.includes(Nr(b)))&&y.push(b),y},[])}getEdgeDatum(a){return Cu(this.model.getEdge(a))}getEdgeData(a){return this.model.getAllEdges().reduce((y,x)=>{const b=Cu(x);return(a===void 0||a.includes(Nr(b)))&&y.push(b),y},[])}getComboData(a){return this.model.getAllNodes().reduce((y,x)=>{const b=Cu(x);return this.isCombo(Nr(b))&&(a===void 0||a.includes(Nr(b)))&&y.push(b),y},[])}getRootsData(a=kc){return this.model.getRoots(a).map(Cu)}getAncestorsData(a,y){const{model:x}=this;return!x.hasNode(a)||!x.hasTreeStructure(y)?[]:x.getAncestors(a,y).map(Cu)}getDescendantsData(a){const y=this.getElementDataById(a),x=[];return yg(y,b=>{b!==y&&x.push(b)},b=>this.getChildrenData(Nr(b)),"TB"),x}getParentData(a,y){const{model:x}=this;if(!y){Ac.warn("The hierarchy structure key is not specified");return}if(!x.hasNode(a)||!x.hasTreeStructure(y))return;const b=x.getParent(a,y);return b?Cu(b):void 0}getChildrenData(a){const y=this.getElementType(a)==="node"?kc:ll,{model:x}=this;return!x.hasNode(a)||!x.hasTreeStructure(y)?[]:x.getChildren(a,y).map(Cu)}getElementsDataByType(a){return a==="node"?this.getNodeData():a==="edge"?this.getEdgeData():a==="combo"?this.getComboData():[]}getElementDataById(a){return this.getElementType(a)==="edge"?this.getEdgeDatum(a):this.getNodeLikeDatum(a)}getNodeLikeDatum(a){const y=this.model.getNode(a);return Cu(y)}getNodeLikeData(a){return this.model.getAllNodes().reduce((y,x)=>{const b=Cu(x);return a?a.includes(Nr(b))&&y.push(b):y.push(b),y},[])}getElementDataByState(a,y){return this.getElementsDataByType(a).filter(b=>{var z;return(z=b.states)===null||z===void 0?void 0:z.includes(y)})}getElementState(a){var y;return((y=this.getElementDataById(a))===null||y===void 0?void 0:y.states)||[]}hasNode(a){return this.model.hasNode(a)&&!this.isCombo(a)}hasEdge(a){return this.model.hasEdge(a)}hasCombo(a){return this.model.hasNode(a)&&this.isCombo(a)}getRelatedEdgesData(a,y="both"){return this.model.getRelatedEdges(a,y).map(Cu)}getNeighborNodesData(a){return this.model.getNeighbors(a).map(Cu)}setData(a){const{nodes:y=[],edges:x=[],combos:b=[]}=a,{nodes:z,edges:ee,combos:re}=this.getData(),ae=ch(z,y,me=>Nr(me),O0),se=ch(ee,x,me=>Nr(me),O0),fe=ch(re,b,me=>Nr(me),O0);this.batch(()=>{const me={nodes:ae.enter,edges:se.enter,combos:fe.enter};this.addData(me),this.computeZIndex(me,"add",!0);const Ae={nodes:ae.update,edges:se.update,combos:fe.update};this.updateData(Ae),this.computeZIndex(Ae,"update",!0);const Le={nodes:ae.exit.map(Nr),edges:se.exit.map(Nr),combos:fe.exit.map(Nr)};this.removeData(Le)})}addData(a){const{nodes:y,edges:x,combos:b}=a;this.batch(()=>{this.addComboData(b),this.addNodeData(y),this.addEdgeData(x)}),this.computeZIndex(a,"add")}addNodeData(a=[]){a.length&&(this.model.addNodes(a.map(y=>(this.pushChange({value:y,type:El.NodeAdded}),SS(y)))),this.updateNodeLikeHierarchy(a),this.computeZIndex({nodes:a},"add"))}addEdgeData(a=[]){a.length&&(this.model.addEdges(a.map(y=>(this.pushChange({value:y,type:El.EdgeAdded}),SS(y)))),this.computeZIndex({edges:a},"add"))}addComboData(a=[]){if(!a.length)return;const{model:y}=this;y.hasTreeStructure(ll)||y.attachTreeStructure(ll),y.addNodes(a.map(x=>(this.comboIds.add(Nr(x)),this.pushChange({value:x,type:El.ComboAdded}),SS(x)))),this.updateNodeLikeHierarchy(a),this.computeZIndex({combos:a},"add")}addChildrenData(a,y){const x=this.getNodeLikeDatum(a),b=y.map(Nr);this.addNodeData(y),this.updateNodeData([{id:a,children:[...x.children||[],...b]}]),this.addEdgeData(b.map(z=>({source:a,target:z})))}computeZIndex(a,y,x=!1){!x&&this.isBatching()||this.batch(()=>{const{nodes:b=[],edges:z=[],combos:ee=[]}=a;ee.forEach(re=>{var ae,se,fe;const me=Nr(re);if(y==="add"&&ji((ae=re.style)===null||ae===void 0?void 0:ae.zIndex)||y==="update"&&!("combo"in re))return;const Ae=this.getParentData(me,ll),Le=Ae?((fe=(se=Ae.style)===null||se===void 0?void 0:se.zIndex)!==null&&fe!==void 0?fe:0)+1:0;this.preventUpdateNodeLikeHierarchy(()=>{this.updateComboData([{id:me,style:{zIndex:Le}}])})}),b.forEach(re=>{var ae,se,fe;const me=Nr(re);if(y==="add"&&ji((ae=re.style)===null||ae===void 0?void 0:ae.zIndex)||y==="update"&&!("combo"in re)&&!("children"in re))return;let Ae=0;const Le=this.getParentData(me,ll);if(Le)Ae=(((se=Le.style)===null||se===void 0?void 0:se.zIndex)||0)+1;else{const ke=this.getParentData(me,kc);ke&&(Ae=((fe=ke==null?void 0:ke.style)===null||fe===void 0?void 0:fe.zIndex)||0)}this.preventUpdateNodeLikeHierarchy(()=>{this.updateNodeData([{id:me,style:{zIndex:Ae}}])})}),z.forEach(re=>{var ae,se,fe,me,Ae;if(ji((ae=re.style)===null||ae===void 0?void 0:ae.zIndex))return;let{id:Le,source:ke,target:We}=re;if(!Le)Le=Nr(re);else{const Ze=this.getEdgeDatum(Le);ke=Ze.source,We=Ze.target}if(!ke||!We)return;const je=((fe=(se=this.getNodeLikeDatum(ke))===null||se===void 0?void 0:se.style)===null||fe===void 0?void 0:fe.zIndex)||0,Ke=((Ae=(me=this.getNodeLikeDatum(We))===null||me===void 0?void 0:me.style)===null||Ae===void 0?void 0:Ae.zIndex)||0;this.updateEdgeData([{id:Nr(re),style:{zIndex:Math.max(je,Ke)-1}}])})})}getFrontZIndex(a){var y;const x=this.getElementType(a),b=this.getElementDataById(a),z=this.getData();if(Object.assign(z,{[`${x}s`]:z[`${x}s`].filter(ee=>Nr(ee)!==a)}),x==="combo"&&!xc(b)){const ee=new Set(this.getAncestorsData(a,ll).map(Nr));z.nodes=z.nodes.filter(re=>!ee.has(Nr(re))),z.combos=z.combos.filter(re=>!ee.has(Nr(re))),z.edges=z.edges.filter(({source:re,target:ae})=>!ee.has(re)&&!ee.has(ae))}return Math.max(((y=b.style)===null||y===void 0?void 0:y.zIndex)||0,0,...Object.values(z).flat().map(ee=>{var re;return(((re=ee==null?void 0:ee.style)===null||re===void 0?void 0:re.zIndex)||0)+1}))}updateNodeLikeHierarchy(a){if(!this.enableUpdateNodeLikeHierarchy)return;const{model:y}=this;a.forEach(x=>{const b=Nr(x),z=Sp(x);z!==void 0&&(y.hasTreeStructure(ll)||y.attachTreeStructure(ll),z===null&&this.refreshComboData(b),this.setParent(b,Sp(x),ll));const ee=x.children||[];if(ee.length){y.hasTreeStructure(kc)||y.attachTreeStructure(kc);const re=ee.filter(ae=>y.hasNode(ae));re.forEach(ae=>this.setParent(ae,b,kc)),re.length!==ee.length&&this.updateNodeData([{id:b,children:re}])}})}preventUpdateNodeLikeHierarchy(a){this.enableUpdateNodeLikeHierarchy=!1,a(),this.enableUpdateNodeLikeHierarchy=!0}updateData(a){const{nodes:y,edges:x,combos:b}=a;this.batch(()=>{this.updateNodeData(y),this.updateComboData(b),this.updateEdgeData(x)}),this.computeZIndex(a,"update")}updateNodeData(a=[]){if(!a.length)return;const{model:y}=this;this.batch(()=>{const x=[];a.forEach(b=>{const z=Nr(b),ee=Cu(y.getNode(z));if(O0(ee,b))return;const re=wh(ee,b);this.pushChange({value:re,original:ee,type:El.NodeUpdated}),y.mergeNodeData(z,re),x.push(re)}),this.updateNodeLikeHierarchy(x)}),this.computeZIndex({nodes:a},"update")}refreshData(){const{nodes:a,edges:y,combos:x}=this.getData();a.forEach(b=>{this.pushChange({value:b,original:b,type:El.NodeUpdated})}),y.forEach(b=>{this.pushChange({value:b,original:b,type:El.EdgeUpdated})}),x.forEach(b=>{this.pushChange({value:b,original:b,type:El.ComboUpdated})})}syncNodeLikeDatum(a){const{model:y}=this,x=Nr(a);if(!y.hasNode(x))return;const b=Cu(y.getNode(x)),z=wh(b,a);y.mergeNodeData(x,z)}syncEdgeDatum(a){const{model:y}=this,x=Nr(a);if(!y.hasEdge(x))return;const b=Cu(y.getEdge(x)),z=wh(b,a);y.mergeEdgeData(x,z)}updateEdgeData(a=[]){if(!a.length)return;const{model:y}=this;this.batch(()=>{a.forEach(x=>{const b=Nr(x),z=Cu(y.getEdge(b));if(O0(z,x))return;x.source&&z.source!==x.source&&y.updateEdgeSource(b,x.source),x.target&&z.target!==x.target&&y.updateEdgeTarget(b,x.target);const ee=wh(z,x);this.pushChange({value:ee,original:z,type:El.EdgeUpdated}),y.mergeEdgeData(b,ee)})}),this.computeZIndex({edges:a},"update")}updateComboData(a=[]){if(!a.length)return;const{model:y}=this;y.batch(()=>{const x=[];a.forEach(b=>{const z=Nr(b),ee=Cu(y.getNode(z));if(O0(ee,b))return;const re=wh(ee,b);this.pushChange({value:re,original:ee,type:El.ComboUpdated}),y.mergeNodeData(z,re),x.push(re)}),this.updateNodeLikeHierarchy(x)}),this.computeZIndex({combos:a},"update")}setParent(a,y,x,b=!0){if(a===y)return;const z=this.getNodeLikeDatum(a),ee=Sp(z);if(ee!==y&&x===ll){const re={id:a,combo:y};this.isCombo(a)?this.syncNodeLikeDatum(re):this.syncNodeLikeDatum(re)}this.model.setParent(a,y,x),b&&x===ll&&OV([ee,y]).forEach(re=>{re!==void 0&&this.refreshComboData(re)})}refreshComboData(a){const y=this.getComboData([a])[0],x=this.getAncestorsData(a,ll);y&&this.pushChange({value:y,original:y,type:El.ComboUpdated}),x.forEach(b=>{this.pushChange({value:b,original:b,type:El.ComboUpdated})})}getElementPosition(a){const y=this.getElementDataById(a);return fu(y)}translateNodeLikeBy(a,y){this.isCombo(a)?this.translateComboBy(a,y):this.translateNodeBy(a,y)}translateNodeLikeTo(a,y){this.isCombo(a)?this.translateComboTo(a,y):this.translateNodeTo(a,y)}translateNodeBy(a,y){const x=this.getElementPosition(a),b=es(x,[...y,0].slice(0,3));this.translateNodeTo(a,b)}translateNodeTo(a,y){const[x=0,b=0,z=0]=y;this.preventUpdateNodeLikeHierarchy(()=>{this.updateNodeData([{id:a,style:{x,y:b,z}}])})}translateComboBy(a,y){const[x=0,b=0,z=0]=y;if([x,b,z].some(isNaN)||[x,b,z].every(ae=>ae===0))return;const ee=this.getComboData([a])[0];if(!ee)return;const re=new Set;yg(ee,ae=>{const se=Nr(ae);if(re.has(se))return;re.add(se);const[fe,me,Ae]=fu(ae),Le=wh(ae,{style:{x:fe+x,y:me+b,z:Ae+z}});this.pushChange({value:Le,original:ae,type:this.isCombo(se)?El.ComboUpdated:El.NodeUpdated}),this.model.mergeNodeData(se,Le)},ae=>this.getChildrenData(Nr(ae)),"BT")}translateComboTo(a,y){var x;if(y.some(isNaN))return;const[b=0,z=0,ee=0]=y,re=(x=this.getComboData([a]))===null||x===void 0?void 0:x[0];if(!re)return;const[ae,se,fe]=fu(re),me=b-ae,Ae=z-se,Le=ee-fe;yg(re,ke=>{const We=Nr(ke),[je,Ke,Ze]=fu(ke),Je=wh(ke,{style:{x:je+me,y:Ke+Ae,z:Ze+Le}});this.pushChange({value:Je,original:ke,type:this.isCombo(We)?El.ComboUpdated:El.NodeUpdated}),this.model.mergeNodeData(We,Je)},ke=>this.getChildrenData(Nr(ke)),"BT")}removeData(a){const{nodes:y,edges:x,combos:b}=a;this.batch(()=>{this.removeEdgeData(x),this.removeNodeData(y),this.removeComboData(b),this.latestRemovedComboIds=new Set(b)})}removeNodeData(a=[]){a.length&&this.batch(()=>{a.forEach(y=>{this.removeEdgeData(this.getRelatedEdgesData(y).map(Nr)),this.pushChange({value:this.getNodeData([y])[0],type:El.NodeRemoved}),this.removeNodeLikeHierarchy(y)}),this.model.removeNodes(a)})}removeEdgeData(a=[]){a.length&&(a.forEach(y=>this.pushChange({value:this.getEdgeData([y])[0],type:El.EdgeRemoved})),this.model.removeEdges(a))}removeComboData(a=[]){a.length&&this.batch(()=>{a.forEach(y=>{this.pushChange({value:this.getComboData([y])[0],type:El.ComboRemoved}),this.removeNodeLikeHierarchy(y),this.comboIds.delete(y)}),this.model.removeNodes(a)})}removeNodeLikeHierarchy(a){if(this.model.hasTreeStructure(ll)){const y=Sp(this.getNodeLikeDatum(a));this.setParent(a,void 0,ll,!1),this.model.getChildren(a,ll).forEach(x=>{const b=Cu(x),z=Nr(b);this.setParent(Nr(b),y,ll,!1);const ee=wh(b,{id:Nr(b),combo:y});this.pushChange({value:ee,original:b,type:this.isCombo(z)?El.ComboUpdated:El.NodeUpdated}),this.model.mergeNodeData(Nr(b),ee)}),wo(y)||this.refreshComboData(y)}}getElementType(a){if(this.model.hasNode(a))return this.isCombo(a)?"combo":"node";if(this.model.hasEdge(a))return"edge";throw new Error(Of(`Unknown element type of id: ${a}`))}destroy(){const{model:a}=this,y=a.getAllNodes(),x=a.getAllEdges();a.removeEdges(x.map(b=>b.id)),a.removeNodes(y.map(b=>b.id)),this.context={}}}var Xv=function(E,a,y,x){function b(z){return z instanceof y?z:new y(function(ee){ee(z)})}return new(y||(y=Promise))(function(z,ee){function re(fe){try{se(x.next(fe))}catch(me){ee(me)}}function ae(fe){try{se(x.throw(fe))}catch(me){ee(me)}}function se(fe){fe.done?z(fe.value):b(fe.value).then(re,ae)}se((x=x.apply(E,a||[])).next())})};class NV{constructor(a){this.elementMap={},this.shapeTypeMap={},this.paletteStyle={},this.defaultStyle={},this.stateStyle={},this.visibilityCache=new 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Array(4).fill(0).map(()=>Math.floor(Math.random()*Number.MAX_SAFE_INTEGER).toString(16)).join("-")}class KV extends iy{constructor(a,y,x){super(),this.graph=a,this.layout=y,this.options=x,this.spawnWorker()}spawnWorker(){this.proxy=w3(new Worker(new URL(Ie.p+Ie.u(8325),Ie.b),{type:void 0})),this.running&&(this.running=!1,this.execute())}execute(){var a;return(0,_t.mG)(this,void 0,void 0,function*(){if(this.running)return this;this.running=!0;const y=this.layout.options,{onTick:x}=y,b=(0,_t._T)(y,["onTick"]),z={};Object.keys(b).forEach(se=>{qi(b[se])||(z[se]=b[se])});const ee={layout:{id:this.layout.id,options:z,iterations:(a=this.options)===null||a===void 0?void 0:a.iterations},nodes:this.graph.getAllNodes(),edges:this.graph.getAllEdges()},re=new Float32Array([0]),[ae]=yield this.proxy.calculateLayout(ee,[re]);return ae})}stop(){return this.running=!1,this.proxy.stopLayout(),this}kill(){this.proxy[x3]()}isRunning(){return this.running}}var L0=function(E,a,y,x){function b(z){return z 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iu(gi.AFTER_LAYOUT,{type:"pre"})),this.transformDataAfterLayout("pre",a)})}postLayout(){return L0(this,arguments,void 0,function*(a=this.options){if(!a)return;const y=Array.isArray(a)?a:[a],{graph:x}=this.context;gu(x,new iu(gi.BEFORE_LAYOUT,{type:"post"}));for(let b=0;bb.afterLayout(a,y))}simulate(){return L0(this,void 0,void 0,function*(){if(!this.options)return{};const a=Array.isArray(this.options)?this.options:[this.options];let y={};for(let x=0;x{this.updateElementPosition(se,!1)}}):(re.execute(a),re.stop(),re.tick(ee));const ae=yield re.execute(a);if(b){const se=this.updateElementPosition(ae,b);yield se==null?void 0:se.finished}return ae})}treeLayout(a,y,x){return L0(this,void 0,void 0,function*(){const{type:b,animation:z}=y,ee=If("layout",b);if(!ee)return{};const{nodes:re=[],edges:ae=[]}=a,se=new Xl({nodes:re.map(ke=>({id:Nr(ke),data:ke.data||{}})),edges:ae.map(ke=>({id:Nr(ke),source:ke.source,target:ke.target,data:ke.data||{}}))});LV(se);const fe={nodes:[],edges:[]},me={nodes:[],edges:[]};se.getRoots(kc).forEach(ke=>{yg(ke,Je=>{Je.children=se.getSuccessors(Je.id)},Je=>se.getSuccessors(Je.id),"TB");const We=ee(ke,y),{x:je,y:Ke,z:Ze=0}=We;yg(We,Je=>{const{id:tt,x:at,y:st,z:dt=0}=Je;fe.nodes.push({id:tt,style:{x:je,y:Ke,z:Ze}}),me.nodes.push({id:tt,style:{x:at,y:st,z:dt}})},Je=>Je.children,"TB")});const Le=this.inferTreeLayoutOffset(me);if(O3(me,Le),z){O3(fe,Le),this.updateElementPosition(fe,!1);const ke=this.updateElementPosition(me,z);yield ke==null?void 0:ke.finished}return me})}inferTreeLayoutOffset(a){var y;let[x,b]=[1/0,-1/0],[z,ee]=[1/0,-1/0];(y=a.nodes)===null||y===void 0||y.forEach(We=>{const{x:je=0,y:Ke=0}=We.style||{};x=Math.min(x,je),b=Math.max(b,je),z=Math.min(z,Ke),ee=Math.max(ee,Ke)});const{canvas:re}=this.context,ae=re.getSize(),[se,fe]=re.getCanvasByViewport([0,0]),[me,Ae]=re.getCanvasByViewport(ae);if(x>=se&&b<=me&&z>=fe&&ee<=Ae)return[0,0];const Le=(se+me)/2,ke=(fe+Ae)/2;return[Le-(x+b)/2,ke-(z+ee)/2]}stopLayout(){this.instance&&yx(this.instance)&&(this.instance.stop(),this.instance=void 0),this.supervisor&&(this.supervisor.stop(),this.supervisor=void 0),this.animationResult&&(this.animationResult.finish(),this.animationResult=void 0)}getLayoutData(a){const{nodeFilter:y=()=>!0,preLayout:x=!1,isLayoutInvisibleNodes:b=!1}=a,{nodes:z,edges:ee,combos:re}=this.context.model.getData(),{element:ae,model:se}=this.context,fe=We=>ae.getElement(We),me=x?We=>{var je;return!b&&(((je=We.style)===null||je===void 0?void 0:je.visibility)==="hidden"||se.getAncestorsData(We.id,kc).some(xc)||se.getAncestorsData(We.id,ll).some(xc))?!1:y(We)}:We=>{const je=Nr(We),Ke=fe(je);return!Ke||wv(Ke)?!1:y(We)},Ae=z.filter(me),Le=new Map(Ae.map(We=>[Nr(We),We]));re.forEach(We=>Le.set(Nr(We),We));const ke=ee.filter(({source:We,target:je})=>Le.has(We)&&Le.has(je));return{nodes:Ae,edges:ke,combos:re}}initGraphLayout(a){var y;const{element:x,viewport:b}=this.context,{type:z,enableWorker:ee,animation:re,iterations:ae}=a,se=ZV(a,["type","enableWorker","animation","iterations"]),[fe,me]=b.getCanvasSize(),Ae=[fe/2,me/2],Le=(y=a==null?void 0:a.nodeSize)!==null&&y!==void 0?y:Ze=>{const Je=x==null?void 0:x.getElement(Ze.id);return Je?Je.attributes.size:x==null?void 0:x.getElementComputedStyle("node",Ze).size},ke=If("layout",z);if(!ke)return Ac.warn(`The layout of ${z} is not registered.`);const We=Object.getPrototypeOf(ke.prototype)===sy.prototype?ke:gk(ke,this.context),je=new We(this.context),Ke={nodeSize:Le,width:fe,height:me,center:Ae};switch(je.id){case"d3-force":case"d3-force-3d":Object.assign(Ke,{center:{x:fe/2,y:me/2,z:0}});break;default:break}return nc(je.options,Ke,se),je}updateElementPosition(a,y){const{model:x,element:b}=this.context;return b?(x.updateData(a),b.draw({animation:y,silence:!0})):null}destroy(){var a;this.stopLayout(),this.context={},(a=this.supervisor)===null||a===void 0||a.kill(),this.supervisor=void 0,this.instance=void 0,this.instances=[],this.animationResult=void 0}}const O3=(E,a)=>{var y;const[x,b]=a;(y=E.nodes)===null||y===void 0||y.forEach(z=>{if(z.style){const{x:ee=0,y:re=0}=z.style;z.style.x=ee+x,z.style.y=re+b}else z.style={x,y:b}})};function YV(E){return[XV].reduce((y,x)=>x(y),E)}function XV(E){return!E.layout||Array.isArray(E.layout)||"preLayout"in E.layout||["antv-dagre","combo-combined","compact-box","circular","concentric","dagre","fishbone","grid","indented","mds","radial","random","snake","dendrogram","mindmap"].includes(E.layout.type)&&(E.layout.preLayout=!0),E}class JV extends bA{constructor(a){super(a),this.category="plugin",this.setPlugins(this.context.options.plugins||[])}setPlugins(a){this.setExtensions(a)}getPluginInstance(a){const y=this.extensionMap[a];if(y)return y;Ac.warn(`Cannot find the plugin ${a}, will try to find it by type.`);const x=this.extensions.find(b=>b.type===a);if(x)return this.extensionMap[x.key]}}const b1=["update-related-edges","collapse-expand-node","collapse-expand-combo","get-edge-actual-ends","arrange-draw-order"];class qV extends bA{constructor(a){super(a),this.category="transform",this.setTransforms(this.context.options.transforms||[])}getTransforms(){}setTransforms(a){this.setExtensions([...b1.slice(0,b1.length-1),...a,b1[b1.length-1]])}getTransformInstance(a){return a?this.extensionMap[a]:this.extensionMap}}var Jv=function(E,a,y,x){function b(z){return z instanceof y?z:new y(function(ee){ee(z)})}return new(y||(y=Promise))(function(z,ee){function re(fe){try{se(x.next(fe))}catch(me){ee(me)}}function ae(fe){try{se(x.throw(fe))}catch(me){ee(me)}}function se(fe){fe.done?z(fe.value):b(fe.value).then(re,ae)}se((x=x.apply(E,a||[])).next())})};class $V{get padding(){return Od(this.context.options.padding)}get paddingOffset(){const[a,y,x,b]=this.padding,[z,ee,re]=[(b-y)/2,(a-x)/2,0];return[z,ee,re]}constructor(a){this.landmarkCounter=0,this.context=a;const[y,x]=this.paddingOffset,{zoom:b,rotation:z,x:ee=y,y:re=x}=a.options;this.transform({mode:"absolute",scale:b,translate:[ee,re],rotate:z},!1)}get camera(){const{canvas:a}=this.context;return new Proxy(a.getCamera(),{get:(y,x)=>{const z=Object.entries(a.getLayers()).filter(([re])=>!["main"].includes(re)).map(([,re])=>re.getCamera()),ee=y[x];if(typeof ee=="function")return(...re)=>{const ae=ee.apply(y,re);return z.forEach(se=>{se[x].apply(se,re)}),ae}}})}createLandmark(a){return this.camera.createLandmark(`landmark-${this.landmarkCounter++}`,a)}getAnimation(a){const y=qP(this.context.options,a);return y?xg(Object.assign({},y),["easing","duration"]):!1}getCanvasSize(){const{canvas:a}=this.context,{width:y=0,height:x=0}=a.getConfig();return[y,x]}getCanvasCenter(){const{canvas:a}=this.context,{width:y=0,height:x=0}=a.getConfig();return[y/2,x/2,0]}getViewportCenter(){const[a,y]=this.camera.getPosition();return[a,y,0]}getGraphCenter(){return this.context.graph.getViewportByCanvas(this.getCanvasCenter())}getZoom(){return this.camera.getZoom()}getRotation(){return this.camera.getRoll()}getTranslateOptions(a){const{camera:y}=this,{mode:x,translate:b=[]}=a,z=this.getZoom(),ee=y.getPosition(),re=y.getFocalPoint(),[ae,se]=this.getCanvasCenter(),[fe=0,me=0,Ae=0]=b,Le=Nd([-fe,-me,-Ae],z);return x==="relative"?{position:es(ee,Le),focalPoint:es(re,Le)}:{position:es([ae,se,ee[2]],Le),focalPoint:es([ae,se,re[2]],Le)}}getRotateOptions(a){const{mode:y,rotate:x=0}=a;return{roll:y==="relative"?this.camera.getRoll()+x:x}}getZoomOptions(a){const{zoomRange:y}=this.context.options,x=this.camera.getZoom(),{mode:b,scale:z=1}=a;return Dl(b==="relative"?x*z:z,...y)}transform(a,y){return Jv(this,void 0,void 0,function*(){const{graph:x}=this.context,{translate:b,rotate:z,scale:ee,origin:re}=a;this.cancelAnimation();const ae=this.getAnimation(y);if(gu(x,new m1(gi.BEFORE_TRANSFORM,a)),!z&&ee&&!b&&re&&!ae){this.camera.setZoomByViewportPoint(this.getZoomOptions(a),re),gu(x,new m1(gi.AFTER_TRANSFORM,a));return}const se={};if(b&&Object.assign(se,this.getTranslateOptions(a)),ji(z)&&Object.assign(se,this.getRotateOptions(a)),ji(ee)&&Object.assign(se,{zoom:this.getZoomOptions(a)}),ae)return gu(x,new hd(gi.BEFORE_ANIMATE,Ec.TRANSFORM,null,a)),new Promise(fe=>{this.transformResolver=fe,this.camera.gotoLandmark(this.createLandmark(se),Object.assign(Object.assign({},ae),{onfinish:()=>{gu(x,new hd(gi.AFTER_ANIMATE,Ec.TRANSFORM,null,a)),gu(x,new m1(gi.AFTER_TRANSFORM,a)),this.transformResolver=void 0,fe()}}))});this.camera.gotoLandmark(this.createLandmark(se),{duration:0}),gu(x,new m1(gi.AFTER_TRANSFORM,a))})}fitView(a,y){return Jv(this,void 0,void 0,function*(){const[x,b,z,ee]=this.padding,{when:re="always",direction:ae="both"}=a||{},[se,fe]=this.context.canvas.getSize(),me=se-ee-b,Ae=fe-x-z,Le=this.context.canvas.getBounds(),ke=this.getBBoxInViewport(Le),[We,je]=sh(ke),Ke=ae==="x"&&We>=me||ae==="y"&&je>=Ae||ae==="both"&&We>=me&&je>=Ae;if(re==="overflow"&&!Ke)return yield this.fitCenter({animation:y});const Ze=me/We,Je=Ae/je,tt=ae==="x"?Ze:ae==="y"?Je:Math.min(Ze,Je),at=this.getAnimation(y);yield this.transform({mode:"relative",scale:tt,translate:es(il(this.getCanvasCenter(),this.getBBoxInViewport(Le).center),Nd(this.paddingOffset,tt))},at)})}fitCenter(a){return Jv(this,void 0,void 0,function*(){const y=this.context.canvas.getBounds();yield this.focus(y,a)})}focusElements(a){return Jv(this,arguments,void 0,function*(y,x={}){const{element:b}=this.context;if(!b)return;const z=re=>x.shapes?re.getShape(x.shapes).getRenderBounds():re.getRenderBounds(),ee=dv(y.map(re=>z(b.getElement(re))));yield this.focus(ee,x)})}focus(a,y){return Jv(this,void 0,void 0,function*(){const x=this.context.graph.getViewportByCanvas(a.center),b=y.position||this.getCanvasCenter(),z=il(b,x);yield this.transform({mode:"relative",translate:es(z,this.paddingOffset)},y.animation)})}getBBoxInViewport(a){const{min:y,max:x}=a,{graph:b}=this.context,[z,ee]=b.getViewportByCanvas(y),[re,ae]=b.getViewportByCanvas(x),se=new cl;return se.setMinMax([z,ee,0],[re,ae,0]),se}isInViewport(a,y=!1,x=0){const{graph:b}=this.context,z=this.getCanvasSize(),[ee,re]=b.getCanvasByViewport([0,0]),[ae,se]=b.getCanvasByViewport(z);let fe=new cl;return fe.setMinMax([ee,re,0],[ae,se,0]),x&&(fe=uh(fe,x)),c0(a)?Td(a,fe):y?RR(a,fe):fe.intersects(a)}cancelAnimation(){var a,y;!((a=this.camera.landmarks)===null||a===void 0)&&a.length&&this.camera.cancelLandmarkAnimation(),(y=this.transformResolver)===null||y===void 0||y.call(this)}}var fl=function(E,a,y,x){function b(z){return z instanceof y?z:new y(function(ee){ee(z)})}return new(y||(y=Promise))(function(z,ee){function re(fe){try{se(x.next(fe))}catch(me){ee(me)}}function ae(fe){try{se(x.throw(fe))}catch(me){ee(me)}}function se(fe){fe.done?z(fe.value):b(fe.value).then(re,ae)}se((x=x.apply(E,a||[])).next())})};class B0 extends iy{constructor(a){var y;super(),this.options={},this.rendered=!1,this.destroyed=!1,this.context={model:new BV},this.isCollapsingExpanding=!1,this.onResize=Mv(()=>{this.resize()},300),this._setOptions(Object.assign({},B0.defaultOptions,a),!0),this.context.graph=this,this.options.autoResize&&((y=globalThis.addEventListener)===null||y===void 0||y.call(globalThis,"resize",this.onResize))}getOptions(){return this.options}setOptions(a){this._setOptions(a,!1)}_setOptions(a,y){if(this.updateCanvas(a),Object.assign(this.options,YV(a)),y){const{data:Ae}=a;Ae&&this.addData(Ae);return}const{behaviors:x,combo:b,data:z,edge:ee,layout:re,node:ae,plugins:se,theme:fe,transforms:me}=a;x&&this.setBehaviors(x),z&&this.setData(z),ae&&this.setNode(ae),ee&&this.setEdge(ee),b&&this.setCombo(b),re&&this.setLayout(re),fe&&this.setTheme(fe),se&&this.setPlugins(se),me&&this.setTransforms(me)}getSize(){return this.context.canvas?this.context.canvas.getSize():[this.options.width||0,this.options.height||0]}setSize(a,y){a&&(this.options.width=a),y&&(this.options.height=y),this.resize(a,y)}setZoomRange(a){this.options.zoomRange=a}getZoomRange(){return this.options.zoomRange}setNode(a){this.options.node=a,this.context.model.refreshData()}setEdge(a){this.options.edge=a,this.context.model.refreshData()}setCombo(a){this.options.combo=a,this.context.model.refreshData()}getTheme(){return this.options.theme}setTheme(a){this.options.theme=qi(a)?a(this.getTheme()):a}setLayout(a){this.options.layout=qi(a)?a(this.getLayout()):a}getLayout(){return this.options.layout}setBehaviors(a){var y;this.options.behaviors=qi(a)?a(this.getBehaviors()):a,(y=this.context.behavior)===null||y===void 0||y.setBehaviors(this.options.behaviors)}updateBehavior(a){this.setBehaviors(y=>y.map(x=>typeof x=="object"&&x.key===a.key?Object.assign(Object.assign({},x),a):x))}getBehaviors(){return this.options.behaviors||[]}setPlugins(a){var y;this.options.plugins=qi(a)?a(this.getPlugins()):a,(y=this.context.plugin)===null||y===void 0||y.setPlugins(this.options.plugins)}updatePlugin(a){this.setPlugins(y=>y.map(x=>typeof x=="object"&&x.key===a.key?Object.assign(Object.assign({},x),a):x))}getPlugins(){return this.options.plugins||[]}getPluginInstance(a){return this.context.plugin.getPluginInstance(a)}setTransforms(a){var y;this.options.transforms=qi(a)?a(this.getTransforms()):a,(y=this.context.transform)===null||y===void 0||y.setTransforms(this.options.transforms)}updateTransform(a){this.setTransforms(y=>y.map(x=>typeof x=="object"&&x.key===a.key?Object.assign(Object.assign({},x),a):x)),this.context.model.refreshData()}getTransforms(){return this.options.transforms||[]}getData(){return this.context.model.getData()}getElementData(a){return Array.isArray(a)?a.map(y=>this.context.model.getElementDataById(y)):this.context.model.getElementDataById(a)}getNodeData(a){return a===void 0?this.context.model.getNodeData():Array.isArray(a)?this.context.model.getNodeData(a):this.context.model.getNodeLikeDatum(a)}getEdgeData(a){return a===void 0?this.context.model.getEdgeData():Array.isArray(a)?this.context.model.getEdgeData(a):this.context.model.getEdgeDatum(a)}getComboData(a){return a===void 0?this.context.model.getComboData():Array.isArray(a)?this.context.model.getComboData(a):this.context.model.getNodeLikeDatum(a)}setData(a){this.context.model.setData(qi(a)?a(this.getData()):a)}addData(a){this.context.model.addData(qi(a)?a(this.getData()):a)}addNodeData(a){this.context.model.addNodeData(qi(a)?a(this.getNodeData()):a)}addEdgeData(a){this.context.model.addEdgeData(qi(a)?a(this.getEdgeData()):a)}addComboData(a){this.context.model.addComboData(qi(a)?a(this.getComboData()):a)}addChildrenData(a,y){this.context.model.addChildrenData(a,y)}updateData(a){this.context.model.updateData(qi(a)?a(this.getData()):a)}updateNodeData(a){this.context.model.updateNodeData(qi(a)?a(this.getNodeData()):a)}updateEdgeData(a){this.context.model.updateEdgeData(qi(a)?a(this.getEdgeData()):a)}updateComboData(a){this.context.model.updateComboData(qi(a)?a(this.getComboData()):a)}removeData(a){this.context.model.removeData(qi(a)?a(this.getData()):a)}removeNodeData(a){this.context.model.removeNodeData(qi(a)?a(this.getNodeData()):a)}removeEdgeData(a){this.context.model.removeEdgeData(qi(a)?a(this.getEdgeData()):a)}removeComboData(a){this.context.model.removeComboData(qi(a)?a(this.getComboData()):a)}getElementType(a){return this.context.model.getElementType(a)}getRelatedEdgesData(a,y="both"){return this.context.model.getRelatedEdgesData(a,y)}getNeighborNodesData(a){return this.context.model.getNeighborNodesData(a)}getAncestorsData(a,y){return this.context.model.getAncestorsData(a,y)}getParentData(a,y){return this.context.model.getParentData(a,y)}getChildrenData(a){return this.context.model.getChildrenData(a)}getDescendantsData(a){return this.context.model.getDescendantsData(a)}getElementDataByState(a,y){return this.context.model.getElementDataByState(a,y)}initCanvas(){return fl(this,void 0,void 0,function*(){var a;if(this.context.canvas)return yield this.context.canvas.ready;const{container:y="container",width:x,height:b,renderer:z,cursor:ee,background:re,canvas:ae,devicePixelRatio:se=(a=globalThis.devicePixelRatio)!==null&&a!==void 0?a:1}=this.options;if(y instanceof g3)this.context.canvas=y,ee&&y.setCursor(ee),z&&y.setRenderer(z),yield y.ready;else{const fe=Ws(y)?document.getElementById(y):y,me=p3(fe);this.emit(gi.BEFORE_CANVAS_INIT,{container:fe,width:x,height:b});const Ae=Object.assign(Object.assign({},ae),{container:fe,width:x||me[0],height:b||me[1],background:re,renderer:z,cursor:ee,devicePixelRatio:se}),Le=new g3(Ae);this.context.canvas=Le,yield Le.ready,this.emit(gi.AFTER_CANVAS_INIT,{canvas:Le})}})}updateCanvas(a){var y,x;const{renderer:b,cursor:z,height:ee,width:re}=a,ae=this.context.canvas;ae&&(b&&(this.emit(gi.BEFORE_RENDERER_CHANGE,{renderer:this.options.renderer}),ae.setRenderer(b),this.emit(gi.AFTER_RENDERER_CHANGE,{renderer:b})),z&&ae.setCursor(z),(ji(re)||ji(ee))&&this.setSize((y=re!=null?re:this.options.width)!==null&&y!==void 0?y:0,(x=ee!=null?ee:this.options.height)!==null&&x!==void 0?x:0))}initRuntime(){this.context.options=this.options,this.context.batch||(this.context.batch=new DV(this.context)),this.context.plugin||(this.context.plugin=new JV(this.context)),this.context.viewport||(this.context.viewport=new $V(this.context)),this.context.transform||(this.context.transform=new qV(this.context)),this.context.element||(this.context.element=new NV(this.context)),this.context.animation||(this.context.animation=new MV(this.context)),this.context.layout||(this.context.layout=new QV(this.context)),this.context.behavior||(this.context.behavior=new IV(this.context))}prepare(){return fl(this,void 0,void 0,function*(){if(yield Promise.resolve(),this.destroyed){console.error(Of("The graph instance has been destroyed"));return}yield this.initCanvas(),this.initRuntime()})}render(){return fl(this,void 0,void 0,function*(){if(yield this.prepare(),gu(this,new iu(gi.BEFORE_RENDER)),this.options.layout)if(!this.rendered&&hk(this.options.layout)){const a=yield this.context.element.preLayoutDraw({type:"render"});yield Promise.all([a==null?void 0:a.finished,this.autoFit()])}else{const a=this.context.element.draw({type:"render"});yield Promise.all([a==null?void 0:a.finished,this.context.layout.postLayout()]),yield this.autoFit()}else{const a=this.context.element.draw({type:"render"});yield Promise.all([a==null?void 0:a.finished,this.autoFit()])}this.rendered=!0,gu(this,new iu(gi.AFTER_RENDER))})}draw(){return fl(this,void 0,void 0,function*(){var a;yield this.prepare(),yield(a=this.context.element.draw())===null||a===void 0?void 0:a.finished})}layout(a){return fl(this,void 0,void 0,function*(){yield this.context.layout.postLayout(a)})}stopLayout(){this.context.layout.stopLayout()}clear(){return fl(this,void 0,void 0,function*(){const{model:a,element:y}=this.context;a.setData({}),a.clearChanges(),y==null||y.clear()})}destroy(){var a;gu(this,new iu(gi.BEFORE_DESTROY));const{layout:y,animation:x,element:b,model:z,canvas:ee,behavior:re,plugin:ae}=this.context;ae==null||ae.destroy(),re==null||re.destroy(),y==null||y.destroy(),x==null||x.destroy(),b==null||b.destroy(),z.destroy(),ee==null||ee.destroy(),this.options={},this.context={},this.off(),(a=globalThis.removeEventListener)===null||a===void 0||a.call(globalThis,"resize",this.onResize),this.destroyed=!0,gu(this,new iu(gi.AFTER_DESTROY))}getCanvas(){return this.context.canvas}resize(a,y){var x;const b=p3((x=this.context.canvas)===null||x===void 0?void 0:x.getContainer()),z=[a||b[0],y||b[1]];if(!this.context.canvas)return;const ee=this.context.canvas.getSize();Zl(z,ee)||(gu(this,new iu(gi.BEFORE_SIZE_CHANGE,{size:z})),this.context.canvas.resize(...z),gu(this,new iu(gi.AFTER_SIZE_CHANGE,{size:z})))}fitView(a,y){return fl(this,void 0,void 0,function*(){var x;yield(x=this.context.viewport)===null||x===void 0?void 0:x.fitView(a,y)})}fitCenter(a){return fl(this,void 0,void 0,function*(){var y;yield(y=this.context.viewport)===null||y===void 0?void 0:y.fitCenter({animation:a})})}autoFit(){return fl(this,void 0,void 0,function*(){const{autoFit:a}=this.context.options;if(a)if(Ws(a))a==="view"?yield this.fitView():a==="center"&&(yield this.fitCenter());else{const{type:y,animation:x}=a;y==="view"?yield this.fitView(a.options,x):y==="center"&&(yield this.fitCenter(x))}})}focusElement(a,y){return fl(this,void 0,void 0,function*(){var x;yield(x=this.context.viewport)===null||x===void 0?void 0:x.focusElements(Array.isArray(a)?a:[a],{animation:y})})}zoomBy(a,y,x){return fl(this,void 0,void 0,function*(){yield this.context.viewport.transform({mode:"relative",scale:a,origin:x},y)})}zoomTo(a,y,x){return fl(this,void 0,void 0,function*(){yield this.context.viewport.transform({mode:"absolute",scale:a,origin:x},y)})}getZoom(){return this.context.viewport.getZoom()}rotateBy(a,y,x){return fl(this,void 0,void 0,function*(){yield this.context.viewport.transform({mode:"relative",rotate:a,origin:x},y)})}rotateTo(a,y,x){return fl(this,void 0,void 0,function*(){yield this.context.viewport.transform({mode:"absolute",rotate:a,origin:x},y)})}getRotation(){return this.context.viewport.getRotation()}translateBy(a,y){return fl(this,void 0,void 0,function*(){yield this.context.viewport.transform({mode:"relative",translate:a},y)})}translateTo(a,y){return fl(this,void 0,void 0,function*(){yield this.context.viewport.transform({mode:"absolute",translate:a},y)})}getPosition(){return il([0,0],this.getCanvasByViewport([0,0]))}translateElementBy(a,y){return fl(this,arguments,void 0,function*(x,b,z=!0){var ee,re;const[ae,se]=Vl(x)?[x,(ee=b)!==null&&ee!==void 0?ee:!0]:[{[x]:b},z];Object.entries(ae).forEach(([fe,me])=>this.context.model.translateNodeLikeBy(fe,me)),yield(re=this.context.element.draw({animation:se,stage:"translate"}))===null||re===void 0?void 0:re.finished})}translateElementTo(a,y){return fl(this,arguments,void 0,function*(x,b,z=!0){var ee,re;const[ae,se]=Vl(x)?[x,(ee=b)!==null&&ee!==void 0?ee:!0]:[{[x]:b},z];Object.entries(ae).forEach(([fe,me])=>this.context.model.translateNodeLikeTo(fe,me)),yield(re=this.context.element.draw({animation:se,stage:"translate"}))===null||re===void 0?void 0:re.finished})}getElementPosition(a){return this.context.model.getElementPosition(a)}getElementRenderStyle(a){return wx(this.context.element.getElement(a).attributes,["context"])}setElementVisibility(a,y){return fl(this,arguments,void 0,function*(x,b,z=!0){var ee,re;const[ae,se]=Vl(x)?[x,(ee=b)!==null&&ee!==void 0?ee:!0]:[{[x]:b},z],fe={nodes:[],edges:[],combos:[]};Object.entries(ae).forEach(([Le,ke])=>{const We=this.getElementType(Le);fe[`${We}s`].push({id:Le,style:{visibility:ke}})});const{model:me,element:Ae}=this.context;me.preventUpdateNodeLikeHierarchy(()=>{me.updateData(fe)}),yield(re=Ae.draw({animation:se,stage:"visibility"}))===null||re===void 0?void 0:re.finished})}showElement(a,y){return fl(this,void 0,void 0,function*(){const x=Array.isArray(a)?a:[a];yield this.setElementVisibility(Object.fromEntries(x.map(b=>[b,"visible"])),y)})}hideElement(a,y){return fl(this,void 0,void 0,function*(){const x=Array.isArray(a)?a:[a];yield this.setElementVisibility(Object.fromEntries(x.map(b=>[b,"hidden"])),y)})}getElementVisibility(a){var y,x;const b=this.context.element.getElement(a);return(x=(y=b==null?void 0:b.style)===null||y===void 0?void 0:y.visibility)!==null&&x!==void 0?x:"visible"}setElementZIndex(a,y){return fl(this,void 0,void 0,function*(){var x;const b={nodes:[],edges:[],combos:[]},z=Vl(a)?a:{[a]:y};Object.entries(z).forEach(([ae,se])=>{const fe=this.getElementType(ae);b[`${fe}s`].push({id:ae,style:{zIndex:se}})});const{model:ee,element:re}=this.context;ee.preventUpdateNodeLikeHierarchy(()=>ee.updateData(b)),yield(x=re.draw({animation:!1,stage:"zIndex"}))===null||x===void 0?void 0:x.finished})}frontElement(a){return fl(this,void 0,void 0,function*(){const y=Array.isArray(a)?a:[a],{model:x}=this.context,b={};y.map(z=>{const ee=x.getFrontZIndex(z);if(x.getElementType(z)==="combo"){const ae=x.getAncestorsData(z,ll).at(-1)||this.getComboData(z),se=[ae,...x.getDescendantsData(Nr(ae))],fe=ee-y3(ae);se.forEach(Ae=>{b[Nr(Ae)]=this.getElementZIndex(Nr(Ae))+fe});const{internal:me}=QA(se.map(Nr),Ae=>x.getRelatedEdgesData(Ae));me.forEach(Ae=>{const Le=Nr(Ae);b[Le]=this.getElementZIndex(Le)+fe})}else b[z]=ee}),yield this.setElementZIndex(b)})}getElementZIndex(a){return y3(this.context.model.getElementDataById(a))}setElementState(a,y){return fl(this,arguments,void 0,function*(x,b,z=!0){var ee,re;const[ae,se]=Vl(x)?[x,(ee=b)!==null&&ee!==void 0?ee:!0]:[{[x]:b},z],fe=Ae=>Ae?Array.isArray(Ae)?Ae:[Ae]:[],me={nodes:[],edges:[],combos:[]};Object.entries(ae).forEach(([Ae,Le])=>{const ke=this.getElementType(Ae);me[`${ke}s`].push({id:Ae,states:fe(Le)})}),this.updateData(me),yield(re=this.context.element.draw({animation:se,stage:"state"}))===null||re===void 0?void 0:re.finished})}getElementState(a){return this.context.model.getElementState(a)}getElementRenderBounds(a){return this.context.element.getElement(a).getRenderBounds()}collapseElement(a){return fl(this,arguments,void 0,function*(y,x=!0){const{model:b,element:z}=this.context;if(xc(b.getNodeLikeData([y])[0])||this.isCollapsingExpanding)return;typeof x=="boolean"&&(x={animation:x,align:!0});const ee=b.getElementType(y);yield this.frontElement(y),this.isCollapsingExpanding=!0,b.updateData(ee==="node"?{nodes:[{id:y,style:{collapsed:!0}}]}:{combos:[{id:y,style:{collapsed:!0}}]}),ee==="node"?yield z.collapseNode(y,x):ee==="combo"&&(yield z.collapseCombo(y,!!x.animation)),this.isCollapsingExpanding=!1})}expandElement(a){return fl(this,arguments,void 0,function*(y,x=!0){const{model:b,element:z}=this.context;if(!xc(b.getNodeLikeData([y])[0])||this.isCollapsingExpanding)return;typeof x=="boolean"&&(x={animation:x,align:!0});const ee=b.getElementType(y);this.isCollapsingExpanding=!0,b.updateData(ee==="node"?{nodes:[{id:y,style:{collapsed:!1}}]}:{combos:[{id:y,style:{collapsed:!1}}]}),ee==="node"?yield z.expandNode(y,x):ee==="combo"&&(yield z.expandCombo(y,!!x.animation)),this.isCollapsingExpanding=!1})}setElementCollapsibility(a,y){const x=this.getElementType(a);x==="node"?this.updateNodeData([{id:a,style:{collapsed:y}}]):x==="combo"&&this.updateComboData([{id:a,style:{collapsed:y}}])}toDataURL(){return fl(this,arguments,void 0,function*(a={}){return this.context.canvas.toDataURL(a)})}getCanvasByViewport(a){return this.context.canvas.getCanvasByViewport(a)}getViewportByCanvas(a){return this.context.canvas.getViewportByCanvas(a)}getClientByCanvas(a){return this.context.canvas.getClientByCanvas(a)}getCanvasByClient(a){return this.context.canvas.getCanvasByClient(a)}getViewportCenter(){return this.context.viewport.getViewportCenter()}getCanvasCenter(){return this.context.viewport.getCanvasCenter()}on(a,y,x){return super.on(a,y,x)}once(a,y){return super.once(a,y)}off(a,y){return super.off(a,y)}}B0.defaultOptions={autoResize:!1,theme:"light",rotation:0,zoom:1,zoomRange:[.01,10]};var eK=function(E,a){var y={};for(var x in E)Object.prototype.hasOwnProperty.call(E,x)&&a.indexOf(x)<0&&(y[x]=E[x]);if(E!=null&&typeof Object.getOwnPropertySymbols=="function")for(var b=0,x=Object.getOwnPropertySymbols(E);b{if(re.depth=ae,!re.children)return re;const{children:se}=re,fe=eK(re,["children"]);return Object.assign(Object.assign({},fe),{children:se.map(me=>me.id)})},getEdgeData:x=(re,ae)=>({source:re.id,target:ae.id}),getChildren:b=re=>re.children||[]}=a||{},z=[],ee=[];return yg(E,(re,ae)=>{z.push(y(re,ae));const se=b(re);for(const fe of se)ee.push(x(re,fe))},re=>b(re),"TB"),{nodes:z,edges:ee}}class tK extends Ph{beforeDraw(a){const{add:y,update:x}=a,{model:b}=this.context;return[...y.edges.entries(),...x.edges.entries()].forEach(([,z])=>{T3(b,z)}),a}}const T3=(E,a)=>{const{source:y,target:x}=a,b=E.getElementDataById(y),z=E.getElementDataById(x),ee=Uw(b,me=>E.getParentData(me,ll)),re=Uw(z,me=>E.getParentData(me,ll)),ae=Nr(ee),se=Nr(re),fe={sourceNode:ae,targetNode:se};return a.style?Object.assign(a.style,fe):a.style=fe,a},nK=(E,a,y)=>{const[x,b]=a,[z,ee]=y;if(b===x)return z;const re=(E-x)/(b-x);return z+re*(ee-z)},rK=(E,a,y)=>{const[x,b]=a,[z,ee]=y,re=Math.log(E-x+1)/Math.log(b-x+1);return z+re*(ee-z)},aK=(E,a,y,x=2)=>{const[b,z]=a,[ee,re]=y,ae=Math.pow((E-b)/(z-b),x);return ee+ae*(re-ee)},iK=(E,a,y)=>{const[x,b]=a,[z,ee]=y,re=Math.sqrt((E-x)/(b-x));return z+re*(ee-z)};class C1 extends Ph{constructor(a,y){super(a,nc({},C1.defaultOptions,y)),this.assignSizeByCentrality=(x,b,z,ee,re,ae)=>{const se=[b,z],fe=[ee[0],re[0]],me=[ee[1],re[1]],Ae=[ee[2],re[2]],Le=(ke,We)=>{if(typeof ae=="function")return ae(ke,se,We);switch(ae){case"linear":return nK(ke,se,We);case"log":return rK(ke,se,We);case"pow":return aK(ke,se,We,2);case"sqrt":return iK(ke,se,We);default:return We[0]}};return[Le(x,fe),Le(x,me),Le(x,Ae)]}}beforeDraw(a){const{model:y}=this.context,x=y.getNodeData(),b=zc(this.options.maxSize),z=zc(this.options.minSize),ee=this.getCentralities(this.options.centrality),re=ee.size>0?Math.max(...ee.values()):0,ae=ee.size>0?Math.min(...ee.values()):0;return x.forEach(se=>{var fe;const me=this.assignSizeByCentrality(ee.get(Nr(se))||0,ae,re,z,b,this.options.scale),Ae=(fe=this.context.element)===null||fe===void 0?void 0:fe.getElement(Nr(se)),Le={size:me};this.assignLabelStyle(Le,me,se,Ae),(!Ae||!g1(Le,Ae.attributes))&&Vc(a,Ae?"update":"add","node",nc(se,{style:Le}),!0)}),a}assignLabelStyle(a,y,x,b){var z;const ee=b?b.config.style:(z=this.context.element)===null||z===void 0?void 0:z.getElementComputedStyle("node",x);if(Object.assign(a,xg(ee,["labelFontSize","labelLineHeight"])),this.options.mapLabelSize){const re=this.getLabelSizeByNodeSize(y,1/0,Number(a.labelFontSize));Object.assign(a,{labelFontSize:re,labelLineHeight:re+NR(a.labelPadding)})}return a}getLabelSizeByNodeSize(a,y,x){const b=Math.min(...a)/2,[z,ee]=Array.isArray(this.options.mapLabelSize)?this.options.mapLabelSize:[x,y];return Math.min(ee,Math.max(b,z))}getCentralities(a){const{model:y}=this.context,x=y.getData();if(typeof a=="function")return a(x);const b=y.getRelatedEdgesData.bind(y);return G2(x,b,a)}}C1.defaultOptions={centrality:{type:"degree"},maxSize:80,minSize:20,scale:"linear",mapLabelSize:!1};class P1 extends Ph{constructor(a,y){super(a,Object.assign({},P1.defaultOptions,y))}get ref(){return this.context.model.getRootsData()[0]}afterLayout(){var a;const y=fu(this.ref),{graph:x,model:b}=this.context;(a=b.getData().nodes)===null||a===void 0||a.forEach(ee=>{var re;if(Nr(ee)===Nr(this.ref))return;const ae=Z2(il(fu(ee),y)),se=Math.abs(ae)>Math.PI/2,fe=!ee.children||ee.children.length===0,me=Nr(ee),Ae=(re=this.context.element)===null||re===void 0?void 0:re.getElement(me);if(!Ae||!Ae.isVisible())return;const Le=zc(x.getElementRenderStyle(me).size)[0]/2,ke=(fe?1:-1)*(Le+this.options.offset),We=[["translate",ke*Math.cos(ae),ke*Math.sin(ae)],["rotate",se?vc(ae)+180:vc(ae)]];b.updateNodeData([{id:Nr(ee),style:{labelTextAlign:se===fe?"right":"left",labelTextBaseline:"middle",labelTransform:We}}])}),x.draw()}}P1.defaultOptions={offset:5};const oK="quadratic",L3=["top","top-right","right","right-bottom","bottom","bottom-left","left","left-top"];class w1 extends Ph{constructor(a,y){super(a,Object.assign({},w1.defaultOptions,y)),this.cacheMergeStyle=new Map,this.getAffectedParallelEdges=x=>{const{add:{edges:b},update:{nodes:z,edges:ee,combos:re},remove:{edges:ae}}=x,{model:se}=this.context,fe=new Map,me=(ke,We)=>{se.getRelatedEdgesData(We).forEach(Ke=>!fe.has(Nr(Ke))&&fe.set(Nr(Ke),Ke))};z.forEach(me),re.forEach(me);const Ae=ke=>{const We=se.getEdgeData().map(Ke=>T3(se,Ke));sK(ke,We,!0).forEach(Ke=>!fe.has(Nr(Ke))&&fe.set(Nr(Ke),Ke))};if(ae.size&&ae.forEach(Ae),b.size&&b.forEach(Ae),ee.size){const ke=LM(Lx(se.getChanges())).update.edges;ee.forEach(We=>{var je;Ae(We);const Ke=(je=ke.find(Ze=>Nr(Ze.value)===Nr(We)))===null||je===void 0?void 0:je.original;Ke&&!wS(We,Ke)&&Ae(Ke)})}cf(this.options.edges)||fe.forEach((ke,We)=>!this.options.edges.includes(We)&&fe.delete(We));const Le=se.getEdgeData().map(Nr);return new Map([...fe].sort((ke,We)=>Le.indexOf(ke[0])-Le.indexOf(We[0])))},this.applyBundlingStyle=(x,b,z)=>{const{edgeMap:ee,reverses:re}=B3(b);ee.forEach(ae=>{ae.forEach((se,fe,me)=>{var Ae;const Le=me.length,ke=se.style||{};if(se.source===se.target){const Ke=L3.length;ke.loopPlacement=L3[fe%Ke],ke.loopDist=Math.floor(fe/Ke)*z+50}else if(Le===1)ke.curveOffset=0;else{const Ke=(fe%2===0?1:-1)*(re[`${se.source}|${se.target}|${fe}`]?-1:1);ke.curveOffset=Le%2===1?Ke*Math.ceil(fe/2)*z*2:Ke*(Math.floor(fe/2)*z*2+z)}const We=Object.assign(se,{type:oK,style:ke}),je=(Ae=this.context.element)===null||Ae===void 0?void 0:Ae.getElement(Nr(se));(!je||!g1(We.style,je.attributes))&&Vc(x,je?"update":"add","edge",We,!0)})})},this.resetEdgeStyle=x=>{const b=x.style||{},z=this.cacheMergeStyle.get(Nr(x))||{};return Object.keys(z).forEach(ee=>{Zl(b[ee],z[ee])&&(x[ee]?b[ee]=x[ee]:delete b[ee])}),Object.assign(x,{style:b})},this.applyMergingStyle=(x,b)=>{const{edgeMap:z,reverses:ee}=B3(b);z.forEach(re=>{var ae;if(re.length===1){const fe=re[0],me=(ae=this.context.element)===null||ae===void 0?void 0:ae.getElement(Nr(fe)),Ae=this.resetEdgeStyle(fe);(!me||!g1(Ae,me.attributes))&&Vc(x,me?"update":"add","edge",Ae);return}const se=re.map(({source:fe,target:me,style:Ae={}},Le)=>{const{startArrow:ke,endArrow:We}=Ae,je={},[Ke,Ze]=ee[`${fe}|${me}|${Le}`]?["endArrow","startArrow"]:["startArrow","endArrow"];return V0(ke)&&(je[Ke]=ke),V0(We)&&(je[Ze]=We),je}).reduce((fe,me)=>Object.assign(Object.assign({},fe),me),{});re.forEach((fe,me,Ae)=>{var Le;if(me!==0){Vc(x,"remove","edge",fe);return}const ke=Object.assign({},qi(this.options.style)?this.options.style(Ae):this.options.style,{childrenData:Ae});this.cacheMergeStyle.set(Nr(fe),ke);const We=Object.assign(Object.assign({},fe),{type:"line",style:Object.assign(Object.assign(Object.assign({},fe.style),se),ke)}),je=(Le=this.context.element)===null||Le===void 0?void 0:Le.getElement(Nr(fe));(!je||!g1(We.style,je.attributes))&&Vc(x,je?"update":"add","edge",We,!0)})})}}beforeDraw(a){const y=this.getAffectedParallelEdges(a);return y.size===0||(this.options.mode==="bundle"?this.applyBundlingStyle(a,y,this.options.distance):this.applyMergingStyle(a,y)),a}}w1.defaultOptions={mode:"bundle",distance:15};const B3=E=>{const a=new Map,y=new Set,x={},b=new Map;for(const[z,ee]of E){if(y.has(z))continue;const{source:re,target:ae}=ee,se=`${re}-${ae}`;a.has(se)||(a.set(se,[]),b.set(se,new Set));const fe=a.get(se),me=b.get(se);fe&&me&&!me.has(z)&&(fe.push(ee),me.add(z),y.add(z));for(const[Ae,Le]of E)if(!(y.has(Ae)||Ae===z)&&wS(ee,Le)){const ke=a.get(se),We=b.get(se);ke&&We&&!We.has(Ae)&&(ke.push(Le),We.add(Ae),re===Le.target&&ae===Le.source&&(x[`${Le.source}|${Le.target}|${ke.length-1}`]=!0),y.add(Ae))}}return{edgeMap:a,reverses:x}},sK=(E,a,y)=>a.filter(x=>(y||Nr(x)!==Nr(E))&&wS(x,E)),wS=(E,a)=>{const{sourceNode:y,targetNode:x}=E.style||{},{sourceNode:b,targetNode:z}=a.style||{};return y===b&&x===z||y===z&&x===b};class lK extends Ph{beforeDraw(a,y){const{stage:x}=y;if(x==="visibility")return 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",zK="data:image/png;base64,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SA/QrX3Ec+hUCcZ+O6rA4R3RUofbhvGDd8be4/iYAYLFP6XdxTHQ754evsdP+httvdn2dLpl26Yq63fsfbL9hvk5+v0J8fI9D7xqt22hIgL506UlvG1W3VSUIjrM4nPZgeVvV72ilRqNsV1a6SJQuVBwTXXfhMQA5t2KC4AV5Jwd06dJx9dhjZ9SdvMbr1ffdLXL0AT0jxvCwWrZEaWKKY6L5RG22qspr3GxN8qB2euQL0mI+1kxmiVLd4pjo6/UgNu+nQbAGAKIO4v3jFWikRs+Un1e3e/+bXv/4cYW4B+g7+qzPnj0jTp5sbotDHybVGwG9P6LimKh7AWjh2Krzw7VTPrSA/kENcpqX4b8UZ4mu1c1/bSybt96q91Hj6V+jBpBly9r3X8w2m+zt3P+m83O4LvcAfUfhDGDPnhGzD1z3t3WZISXE9P6ynb3ZRaLU3h0ffTtrL1aCTtfDSjm0nW7iKJ3vsAQrJrRER16vDQBVACAKAFu1L/oiOrL/7fZXT1DKFe1530o3nYft3H9/Tqif4fmBPUBvC2a3VcnaM+Lmc68G1ImZiiybj5GoeyBO9ZXT7Zal7rTwyg+4F6TAJlEqQ/ja0OVW9bGboC2Hlig1Lo6Jbmd8HXpJ6MXqVy76Yz3FZLqg+NiLye3e/6bjmD6Y7XHo7Typ26jjAH0zB/SazitXo62q1Ei15rRs++HmzZuO5qfzY6JF8+7MQVE+fDrvbxhBBZqIujL0h04HoFIBIDri9Mb++nWpzagLbnn9vBX2BEp/SQlxKcl1fru//8Hmq8f96ZmRUfboo5++owvP24DCuqZ37aLw6ac/4R2NhAPg1ETbzi9WkSj9Lo6JbneiYn3Ei6oH+i/IcKsyAHQBgCiV4pgoQKkU2F4vRaL0u9cTWCopS3R0/fwc1Rldf5vXLwOo5WU1Xf+T+Hbvf7N5mopVinuA3i6UdlfPPv0Jb/5oH9AEYgJ2v6uFpQQnx0NLlP5UHBOl3y8tJVjohun3+Hho4/iIV8J9EUS+LREoCaj9/opjoiNLnCG1A6LULvJtL86QqANsv6+i/XD/w31uVX/tvEClYnmAPx0X90R9rayk2GjkL9eo+y/miuioQvM4OJ8wpVLEPQ69O6RusxUBeuGYCl31YcvDJn3Qwx51Oqqf9iIxFQHk/yCGnI4qxTmiIzsbaj9c//XqfxyAAN26+FS8ag0aGM8gqLc5rXm1IUvQ3Fw7PX36M5tqUnbU/x2svO1P8h0cw666tvYT3tIrwS0gt0R8FwCIUimOx2GlmSLjxEkL3S5ArSJNBqeD+vgDAUCGScIxDLUlSq2LY6L0e/j8GvpzhIehb5MkQ6Kj6m/d3/CU3OqNGINANuWNha/0GC8NPMtcT12rzPed8tfuP+95/fyMNwK7tJIiUXd2pYzjja4l6mYvu5HgHqB3hdNtN7L297ylV54fCejxcYClJRIl+o+vf0x/c4CeKOGgnYK1Uxy/5yGh2odKYQSQECgJuMVohvDk6sQAREeV4fZFX/nnZOv+N/Q5zNEHxqNUJjuLX18nDTUaJHYAHD+qHaCLuSA69H67n7iSom0Elij9Lo6JOkDfmEjw9Jk9Dr1tdO6i4rlzZ/zp8PqthIJb9oishMjCdV+mZrMJ4/tOeMqeLMTmXYzojW+SphI90ZSdpT/r1uv1DQMwaul1CZsaO3EwRtwD9B19wvbcGX+ldGkkABt13640MyRKgyiOiSKLsNNj69xErUlsUHrAt3xfGQJvg244CDxL4CFK/RXHRLd3k1vy6HXdbP96Ej2Vyu7KNzqDL2m14tt2J8ND+6Xzvxi8/+2Nd32txvHjvT1A72bmdtBmPaBv7euQd7l2vtNDVq+H2GoD1PqWk1a7BWOTb/OXklI519vR/8n4VmjxiuPcIBdAACmkjjqA94+J5mXz9htvkyGAsQBEqdCLQy9L8XKtv/5q+wCgIky2dPPF7pqBnM7mxvZyONv3kFs/P4VIQtQBfmUFGo2Go8PzRb8XlI7vu+93NrdG7uDZ3cmq2+Qwd3IIu+vb2jN+88rNQjG87U6IO3NRG+LQmfVLJwOLY+W74qkVr03gg1BpFree7mDfcWpwIlQ2p4lbb3tyblGxnoke7gH6dqdx8/YE6NbMVWdqqxnftliGREe1Ks4RRd5gyKrrAF0xYJZ61ciLjpQ6mUJisJ4VVqJyL3xxTJR+0983O0+rJ7KhF6soRIXWCkt0ZH+ZQs8XVtK1RzD4W1/fMM576T59pdVhwCp2/f23ll7Vtcra3ND9j5qf4fkbnC83v0mpuwfoO4tnuHDhl4OToXAcugUtqEHN0a3KKECTBTDTLEjxnr4tehiSBTwLX6jh8+uv6oMPGWRAlEpxTHRU2W39AEPkLEm5fbFdgTJ0nAVzrTSXX9PVysY1wcYxrPceHPbvW1JHevfcc2ZV6bPVHL+Z5+9ekePCLwftyKx6V6ybxHYboFoFIEqlOK5WAXmNxUnAnRW7//xLJc/Kbj1MogOj+xt+QlkG4Pvku5mfKY6Jjio7rb9dRPgAXKdZyV5q9XBggdrtApTLoK68pCplzw7ev+t62Ntq2Ltq6PpVOdXFPUBv96nsrp4lQJvULeuqZc+2uxKJuufVPyaaA3rtIcZJxFnW4KUJaQtA93oAIjoSpGKicLBbNyjfEzaTComOxGv/HNXZzd0M95+BQh+EJer6I7cg8vwecg+SkiGDOK3jq03EDEulvqm9lx/fmLmsyw7QAyAeBegtBl31D3b2AL2bJ7uDNtb+ctCezQG9k8L4JEfm8d6A2bpkpG3DdIh8elv9eeCBBAlEc7zlx0TfyEKyPGNxWvcuNHuxt+FlUukV6QB9m6U6fbCDuCdy3OY0bt784sW/FE6GJEuQu+eQ++Zw08K1s1IB5BM8bUYiGpPW+WuQZSyUtrO8P5SlyVsFnazvUUoAzwMgSqU4JjqKoxbctYivGea4w+eHx3+L66HPkDGdeq0XmqWJCCBe71yi00UJNrWrrq2Fu+o23VOLYawo0Tly5Ldv5blyR5/zTjvf1Sdypxe5E/XtxTNhR98YDUDiSiRuFNypOO5KTFRNlKcmWLwsEcKce41baefsVIh8wvW3Fd6UVCg8YYm6F8ITFqVCovS7OOa9ywFPb0YmmEq0dyC1Xh6AUJwnSr+LvoiOuv5w/dX5RIaBr5JIv9SMkwEOTfeVSPQrK6kD9MD9u7ZD8zPs7r0B70p0cA/QdwLGa306QEd9QO+A4yTZfsF55NIVhGHujwwgbUfvC9vJeINEBwESyMRWZLEpjrcb9oy6xWuz/+RRzBbzZHkUVWOFBL+2qP2phRiPL6bjb18Rtpybprfg0DSOUeOJAbHsZ7HXudKMxgacT/qGSSPmM0uA3mHZEM8go/YeoHc4iTutfvWrvxKNHWjfQkQYdshf6515FZFKAvSa+1GcAHhBFMTeofq2om43DHY9IivXf/u7MVk4DHArVwoG1qJBr76og8lFLY4s2ql3LmYmukXui9Eyi8IEfakSL3htBdNBGTq/Nw+bKdhRkenrAxS2mvvWEmsffPTTt3QH36r9G3n+rhU5rl79lWhMpRs9cmj2Sp6FnkRHhwrjFZEthH6wPzJJkmtBkgRA+PUgMfuKPAGbPwPBLSiNQJRKcaw0YvfVUuPm//eDO32IBH3DoiaIyQVVPrZgKqeW0ujYaN1v/3qYGAbQSspwY8W9n0XpixweX0pGArqYG6LbKOVAtfDgHqC3MVW7r2Kv/krUDW4B6GEGNMCwUznmcRkKCMNV/9DAKrssa5HxDuQvyE4XcQNCdzj3z+/3ey+e2v2drbW0POxab2JB84NLduKBhYQ9mGvOV8enETFOSqXry5gW4V79NzQMwUuuJZY49OYRZBuHOlS/rPYA/Xo8z037IED3dPcWHPXWQVSpHvNKoiGSAY4WWGFX2rxkvCP1XG+xU6l5TcqtX/v77+JycR8AWdcLkaM4Lizu9PfB89ubLstEalhjyUbTC0nw4Lysnu54ECdjwdWlFAcA3Ren1MpcGgXWbAwCG77e5kFnJR+aexx6e89o17Ws/ZWod1XSUgjACAtMoaNUimOiQ4WpuoflSZ6kEsNVV9EElpOJKING3p/bDmhoW6DVvwEIwa1SGok6+KsYBHigZAzjM7/1YW2sl4M5B/BWcCZnVmMA1ju1bj01hlVX9PjDz/DqsQuAfPV+invrtl7LQgfoobLVfFFGKHJ26meGaoe11oEDv7Xerr718N6UGtuSod6UkW1x0evXP1GqK397Mu9AX0zUvXav4vl+X/4lbUfg2V5aLXWgPFbw2g2XVwosz9vgt7MlQygAFEONmtw8EdGg3zpfryz82/f2X4nVuR0F6HwTHgsObgwsum22ij+Y/H1AtMZavDXQGXCQiTdx+j/2at9bxKOsDl2nV9ORgN7hA237YXMP0DuctJ1Wt9c/UYo163PU7bfOdMVHvU+k/pq/cwDaJnKylIa1htYaOYFLMOefbDLgfvpqvbTw5KNCLxy2WesQM2m9v6Pc6oUJvdaoCK3cnj/IqCEjUwa8FvBgxfL6rOKVJYbWGGOAWYK+sYTxNe5Ppu9Ecgvn2/f+3NeGu+TpbBIFxPuHyyYxXSPGFXmVFdzj0NsH2W5q2utnSrFZ7EcNbtHDQAxeZid8jDjHjKP1tSUHuMAXtgfjUQ8nJzONwjAhEIFLVHzf5d/+QNj8rz+HRo3WqOxm8NtoQ9sgaq9xLovu+QZikDpGbknuoX/aMms16c/RpGmI3Wvxvf/D5wv31KJ7ld5IHIcejrENpQUyxBB1nxwPwUrr6ChAi2B5D9DbeGi3U2VHgB64UKYnfKa5Z73AUFxJ1zCvbctBEEzUVlRpAo1lAJw22rQHr/z6T/ntcx+7nXHedlvmzSeVtz4ByEEbkj4Y0j9r8+gWNKlEoS/ae3/xi7q3kvkemhzYAQi8nIDj7OvLzvgzQKepV/ad/lSRiey2b+lOdnDXytA3bvxauaZNn0NviNO+5ZxlquYpU/M7WImUVysJG/kKNIINfalFGRmokCUqWPkvE2NX/sGnrbW3yKZ0Jx/L+r6tP3FW8YPfAsFAk0jNOBogyUhwRK2NN36hffgTzxmWaA9V4smVXoktZzqbT4NRi8IdDj3yYBn37QF6h9O2s+r2xq+VQfccoONEYBQqS9T1QiZtOi5M28VxIrDl31dvi/3jNgM/4NpoY2TkdWNUgqUmqHLOLGgBY6/+yi+xeOYndzaqO1QbWTeJ3vYPc6WJAY5oaONR+mlBKSgd/5N4+qfm2qoSoic4GVNUmqVj/sUbFTaXrs7FLeZnY96boaBer7aM+87sceg79HhdtwToWGeU42fLQg9s3pT8FO6fMFitpNqyssh6nm12uW5mZaH1kpqoKBx3/SngcODFv/K3UDYf3bLzN6iCKr/ldw36/YiCXDViwCKHNDP73/GvWe2hTk95wkA1TL1aOZF+KDyTRHpp5RCeXx5MBLVVIqcN573xpT1A3+EHTYBOTDzpLrNFZhdppoJr8t6DiJYFNu3VheylyYoiLUYeZGKswfFSR9fy/gDgwIu/8I/BpDvJyHtH71iVTvwrw+pz7iKFHhBJWW7beOzxf5H5DPMIL2Mp8qvbq5bisBQihKFI49Z0+M2ba5lzdjbUTrW8NDX1d/rhPztr+0bXvmtlaAfoWLn8jGEgbZJ6SDSfwLVPZsqrfCa+n/akgLK8clOwptRQDwaDpawAY9lkuaMrE6S28zm3U+c/9vvWkoHkO6OY8NAfKm/fxcHRkBIPee0yP/IXPieVzzwvT1VGIbqZjW0ZluM5fGC8Y8b2lXHx5j7zcrHv0Y5uKqz4i7gH6B3N2Y4rz839UqWqfcdRN0vjct0+ONnL6vun7UuvToQrCYh9/rIOHaDXQla1zWStnOjGhAbjXvJDDtDgtnn7TijaP/SkDPa/NjgWMsVkpXu/WT7yzq9L4DgcwitwrmtNYublg5MreuLQMfHMuZpI1PaX0H32IPYAfccxYOfOVJLeQpFB95bXu5B+74NVv7s0xr41H1hupZ0MmGj42bpwKW0zNVHummjSGIbAORx58S/+++8oQIeHnpRius+h++ZFsNgd/+CXyuXqq+BtDNDl6fWeL6RzST2v3/fIPrz0yiS7vLXo4By3EnIYd/Paa6eLE/f9ztYh9Xf8qW99gbtX5Jg7UwFTAHo9j05TjUHALdEX1fecqsLizQnz4lJIuS/seKCiug9SY8kLnI5WZl1I9Xi5idGkJrM2EKAf/3ffSYCW4eHPZXy/22yZ1NDGAjLmqfaxv/wfJ1hvLsdzDmopFXqesEnnYhwI5QD95+n3PjJduv7qpL7SKuaGaA6RLRYh7XQR9wC99dt0OzWIQ4Nt7qM+0gQgCHM6XC4nJw/2oFG7t/z8K75OFAEaS5VAZrDK1KQ1tpeUKj0ccyIM+XNMP//T//aOAZqFwA//AmBwAPSNfw+2/a0tp0IGhz+fif2OQxe+Hdbft9CZ/pmvTPC5OfAZ0j0NFpZe7xKgb9jD9QV59OQx/uxzVd6VxVwRdfM3kLyMfg8nMgOhFnBij0Nv+ZBup8L8i79erZZiB+jNSsfU/avZAyd8lsT7xeXZqg/Qy8YG3eEBhLa9JCrHMDEFYCiUhB196S/+6zsC6OAg+O/8I2DVfBtiaxTIpz8MZuGLm95HFp34svL3XwKDFlAb0kTL6n0Xuo0P/vk+/8ZNqbyhfcoziPhce6azr76MRw+XWXv5RHju2lbzNep8UIb5PUDvZuZ20MbO/3oVTAHoIZEjU0j+GWk/tdYCTldutPYdCjwtq17cLmOSlQTm4obUGDPGM76/0e0FByxyrjni/S/81P9jrX1dF4UY3QPe93wJWOnEujvV818A+ac/tOndq+jEl2NxaIZUdoXWrl3/wW9C9cTVhmheN7opoyjUKPNFbcxCMd/xSp3Mr1cD2ZlgF65NlmMXFplmgoJrLdGRAO7PHc2hOy9K8zjxyT0Zegf43HFVB2gr3bZPaQoQBDkd+ckMAOY6+8s31fiUwqjElDTlMO0EgdDc+gEiE61EVEAENQbWZBmaky//5D9+PTk0lh8E/3u+BBge2nCveuFLIL/xwc05dHjkj5R/8JIxyJlgqA3HpSO/+F88HsYc4mXfGpORX4fOslT7UdeWy8woXQ3SlYPVF24GiTVFMtUN89WfO5rDkfNZ9udx/H9v7vghvQkN7t5F4fyvV9MkOTAawqPTz3aUx2/oE9OpGT+WaVr6UUoNZiOuVjyWaiWjMvNAa63h+Isf/1dbApoFwA78FCAvg775+wBZbvcYLlh7BPzv/gJgMFopkz39Y2Dm/mBbgHaVjAHjN1YW9//CMwJ1ZkHGiS3XUy1qEkyMipV9K1sHSldeHuczW2s1tgBeUI7m9gB9h99Ox6ETmwN6QzrmYZads6AbcHzMsH2NtuI1lVqboGVWas40ZBLBRxaWfWQq9I2856XH/+mmgGYB+O/6KrD6d7kh2GwBsj/9UbDNr6+7c2y8G/zvfhLQ2+h9So5w6vm/Bvrqp7ecLRUe/SPp779EXnbGIkvC+6/O13/sqjZWeTxtK4sCLPO4Z3sRs14Qogx1Z7liry9Wwm66+hlzIofGwOeWqJs+y22KGomOnE/B9gC95RO6zQr2wi/XIPL6HHqLzljAZtWxfRqDklJkiEmSkoh7FD/Yk6WwnYlSYsK6NMGEoTARZu07Lj3+DzaTodnBj4P/8D9bd2Erm5B944Ngm3/q/s4mPgDeO/4DYJ4kdX1dWgw++/NgZv/ltmYiCe55KhZHZyjqABjD+cpfeKETvWXZszIue8lcyaZJ2c+6IYslMJ93dLVqKKCFUvvZ5YU6m9m1DLwizdzYPf9HkQ19W+N9syrdvSLH4i/X0oRt6WuRZRpb+Mh0G1lln+0tBmKll9hysJq1i1AtYqN6Y7Ubqn5QWvC0NuLhyx//1GaA5kf/Gnhv+dRGoMoVB2oMD4P38L8C5Bu9T61OQX7zo1uKGYOd9/wH/qQjpq+R8wYHa66NffxPRFBJyyJbnghu9LUXDNeSOhprVJxl3v5xaWrVirgyM2mXR3rMbdyBYP1tBRnexD1A39l31C7+zVqWdg7SVXzLbYYaidLv4phoW01Wl+Sxo5F/beYwm1/pZvUo9epRvgVEXiSFdOiJ8mIWHWCMWR+sPfTSz/yzTUUO/wAE7zsP6G2MArOyBcBLgKzIvbQ2F1Z1QT7zY2AW/9OOJog4tBTTlxi3xohKp73vF76WGOAlkXbGRXOWxCcB/aBd0EjHvr7WBpuapnjLwY70KvfguZd9b2P2m8H5GjWfUCrdxLEzexx6R09sh5UJ0NAH9GZNX8seujdAlRzyXrsOoG3P1qME6pFHtrZ+sWDsii5X46yyv4jUPn7hZ/7JVotCHHsP+N/9OUCxvTBCS9z7T38Y7MqG8L8t7z4Lj31Z+gcvuxcwOHKtOfbfvEzOdgFmnbFwYdaFsQyVwMy3fZGqTAp+Gb/rbWPmlZcm/aWdZ0CKqjf2AL3lI7q9CvbV36hDlDoOvTHf/loG/QvZW09NRM3rleRi0/e4bcpKycBYKFwQbIHozLZNqdpJCdB5OXbhZ//frQBN9XDs+/ug3ny7F5vOQfaNHwTbfnZXN67CY1/OvOkr1Lhbfef5uPI9N8lHMAhkuypWZj1kWCTzLbLzVcxC2+ep0z2/kL7tbePezcv72c0dq9+akt1oHPvflnc18De40d0rQ7/6G/VMKKfUJaBmUiNRB/D+MdHr8qGjBi3bZ1+6UikxnQO6FkH/80z1RYhmJfVrsaruM1JThJM99vLPblsPjWPvzTUZIxZ/1L+NZyD7xgfAdl/a9eMlQKfe9FXqYGXqY/9Ve5MJBYMjpp2pUvu6TixbyxOS5wzx9Wzb46mSpupfVPe/5bD3yrmG39n51hKS3cA9QO/62W2roV36jTqkOaA3K005VrqWHj5RE+25feFr88qOhamqlIRltsgmKoS1zSyqdjRxaA2Mczj2wsf/0XY4dHFtHH9fDmq+futE030Fsq9/ACBx0sKui4zu/c+Zd/CKxbA3t+/nv84YGmMsi4RpTwZLs0qRU9X6MoYzK11WETPx0WOcG3MyeuHVXQ0g8maxscehdzV3221kL/6PDWBBDugNe/qs3wOlhftK15PJI8AFTODiQmjBJAiMwvEEF84EHmNjbEGWjjD0hUXN77/w0393p6ZvNv7+XE3X1zmb1rOQfeOHALIb272tW9ZLwnu/osJj1+Lw1Mxy7X1Oq0HRjz7GK/vKrcs2ppQeBhUYDCUY5TFsJyJomtr+ahAvTNlLN8qRy3GW7w0zuEfMxglcv48Xg1k88tsbEtnc9k3dgQ7uXpGDAM3FYTcnJGpIjY7eojTteLSc1iaaWXmfAC0nw+68UACpF1QyKEVKQbln/SpHI5m25sSFj/3OTgHtLh0cAr7/x8GqFTCz/4YsLq/LY5PRPU+l3olXl8Z/8lvGG5MaDbeWC0SrygEsM5vpiKkWil683PaqbVOZ8oXsTbCl2clys+mZbC29dTFXREfN3/B51Nf3AP26PMZbd+I4dNQH9PAD2MBx8n6kjrxFNVafs+P3JtKvMs/aGsduJFpzaBTrqOokOQ9zLeG6U16qAAAgAElEQVSeV3/hd3cictzh24WkfPoPFyd+/ovS3xdbxii7NDLOANF0K2x5KeWNekdGB3qJMpx5ftVrz0zaG1cqYafrQxGa1R8lhWpJjrAasjU0+g3zCdf2AH2Hn7C9/DfGgKkjO7lMrMfL87j/iLJBRaVJTxlgynolwxnojHbGZKFgRvoC1b2v/Pz/tSsOvZMB7aBue/xHPtWc/OlvOvnIIGbWcKnBl4ZZH3WsEUXAdRZy2wIuIg7cr3jN6w11cdYTIxI27uDagN41PPy3dxWPuJPLvB51716RgwDNs6PbnYQ5c/SAZNW60DJm1ihreu4TnBkuDPNFW0bjbekdUBKdNeS7Z3/uk99JgF6of+Qf3Rz72PlUW89oKygtB3JrAmbajSC5VuJZypiS3FhNicwkiMAw7hn0vX3i2mVPrexcu7E6ucHMHqC3i7Rd1rMrf2MMOsmxvPnmm5TM26PTmSlVyzh7g3MwxlYDpTMUIGhdCFpnmPFKdTmrHNQuMBbxwct/6e+AMd8xUd8z9b/4L26UP/KC8KziViuPMy2YMQHTrQnRvmY5RbwLQK2xyJJa4t1OjLVaR1X2TfHrr0Sw0Af1+vmSSlN+GkvUzWb/mKibXmZm8ODfW9jlo3pDm929HPrqr4yDti49AXjMAjm2E3VO+wbJLZRol01WWurAsZq4cblhFjqxrpfaWC6tS5urNWSsXGmn5WkKkKX42WMz//3/zHR31dDyhj6VERe7NvnX/m5c/54ZhmgYaLBAcjTF1pj2ZNi+prVkw5sahTDrzNUpOz7Z1aX6IfvnL3tkUNpkvnL2wKwEg0TdUHy8ugfoO4wAe/XMOJj2PaMuI6UEz/OA6Kx94J6AJck4zNygUKuurpYN1ktuX6r+PleJUiChWm2a4IAxBgUT9vCV3/yrIrv5ljt8G9vu/srxv/erRoytU5kYC8xjuj2BzetiwG1EkTpSUAr2GytCZ0pxX8yaB06N4ZVXKrzZ22rj0OHznSy7Ur3vd+a3Pdg3seJdy6FbL/zmRNVPRgN6QAiZMfc/NM6WrntqrlWKmO3osXKMfmlt0zaAQIJZ1F49ltUDzpeDARy4+VsfKcXPf+BNfDarlzYsWrx09Hf/lyLTMyUBM8CAc4sBk+0GLF7XlAC4/4I6TQ0AVOzcsmBSkWfhxezUqXGcu1b3FjaavrfamDENL+N9f3sP0HcSDHbmNycg7bngPElhreSrj3k8XXFMdBbucQvHSX1xxuNgOqZajlmtpHVel0pgwXR0WOtB5QDliyPjRCmbLR+89r/+TwiKUuO9qaXT+IF/Pj/x088M+8kZgxgw3a4Hi9e1ZlgkyeHALB3vx6VFArRknF+Rp95+kF84F0HSD1S79S1tmE8TXMKTvzU6HOdNnZmNF79rOTQBWvZ6Jx2AhbFSMSQ6fIsJlMKZ5MT94/7cTJTNrWRsoiRZaZ19mnNlmllU79qSCxgwiqIMrZ2a/6ffV+v8l596M5+Z5JOvXDn6tz5llEAm8o1Ci2OrBRMsbe8PV2a0Fizf7GitNPy5RZtJM2MevE8ILSezVy+vc8rqVx2ev2Iuibr5Zd7FPUDfYRTYl351UrLMAXqrsmgmxzp2Ytqz3ZUGj1tSiwgGhU5rbEtG9Z6pbIiAGWt/8b6x1md/gunulikTthrHTs4j42m39MiXZsf+uz+2GI7ckJPsKxzSToN1r/EBGVorAM61QdtNVszBwwyVHrPXrpbF1tx51Bgzzi5WTvz9mzsZ/5tV9+7l0Nd/dVJ1k/to4m61dXDBr6RGlvFGeV5O7LcYRELFvZIXt0mFp50vkjBdHdS6MpqmEKzhhyFszMu9Zw6H8voEV/OT3PQ29xXd5dM04Eklxhelf2ChF771eiKm3c5TJA8XcjH9Lo6VBfRRtvd7rWspGCRRAzh9rTyvq8vjiiOvis5iWS8uVnh313powcVruAfoXT7VbTazF355SiE6QG/cV3A9xItfqa5ES3Jsqm2rUwAWQ5Z0Sly2BaRpApVqM6McA0P5WlyKcVqC5UuxUaU4R3RUGW4/XH+r88N9ru5yyBADkO3xYOGqMR5PjYg6Kmwo60e+UPGEWLwS6pVOxdNycK/wbU7xarVuql6rnP7U7XtY7fTCu6h/93JoArTRD2znnp2rKBok2tKVasdONBT4QddAxVjPY2hoxxxUVtRo0ynGGO05DApsf37I4EBGhr4zz5YXLeoWzlLr2zPg1oBGotRVcUyUfm88P7yNJ0GaW221ANBZJGw7kaLMGMX3Jkno6U7E0rRh5+cEy9Tg/W/9+o9gD4F5Fe/ZA/SWj/12KrSf/cV9YYg5oHew8Wtb1yq0KDSGM8OQG+sLSo3XUf5YRwWTxIQ5GsMESK6t8Rko8j1evytsMfK1zTU3vZetdt68RePii5BzdECLhknNuQLwlEJB7v0e10mNJzcjoWMElQVgJCXuYNbYGiwuCXTM+bZKhvqV8qlPz95WJ29Q47uXQ7/ya/tU1n4wn6etpOi1821Vq6QmqHDPN0WGaMo42oWg0ZTVg9Zapi2SIZlbcmuzlFUcLTC0gnapt8wwZgwnfzcOhmrQppmMceu2g3XJFCmF1iDYh7dCZmAM7VSViyjEmeky9FMpWuppRj1qbblGZMYK2sWNgWFA+wVxrrUwTAthjMey1pTfmbFWWQ58nUxUhZt9QG81P5ujTYC9gHuAvrOvpCVAy+5DO71KT9UqMZQqlqEtRGLO0PRMUGuaaBotkkUZrXViM2hrGRiO0mpODkEEb2uAGQTa5jXfWg2wry4kQse0tMz7JzFgjZ/n9R14HZJtvkXbqmiT82IaG+1JiIz86ig9o7Ee0v61ThyyaKlPbSkNaYhZezzozGhJ29GtLw224PTQO52j4foZ8gvlB//P67fbzxvR/q7l0J0//+v7A5GOBjQZTdxuVrnxZFAiiW29rHilbCj9UB9sWlsbY1DrZJU8z8eQiGCURUZbqmmLYAzS9mpWW9pazf2HVqNh9DeHR3K2AGK5Fjnt/Lo2x4aWosTPdc71+3nLSdtClyUen48p75W6pDMkeqBL0VB8AUjSd/u7gWBZe5K3rlGDAjCUWoleilJ2czkQanVBuBpyxplV2qCgORqeoBEfPIHiZdwD9J19H+2f//X9iqUuJ23hu0B0VKEHVzzANtQqmalUKWU4J0ckUoNpZWNbra1Iz0WRE1DcdsQDm2wTZ1zltP1zVCcv/V2pCOwD7RG5+22MIjHEUQdcTsk11vrP+14TUWjTT4d42qK5X+hPq0oUA3TsdnbzuG5PwNIM5wIpJ99gidTcki+UHLx/dx5XU6bnL3zf96OYP/IDKf5G56WEl0oP/9+7SsV7Z1Gwsfe7lkPbc790QCmdJ1neQelgtRLrasVpc/scihZQsSrVViCazlVv62Xe1V8EYOKK9BIQRyQJABhI4pVODqA/kRtcLg87Vt8XS4ohksyd6ygcl3VSOlq3kb11e4zT1sdOKHGbfLvrrY2okLlzNSJ9F0KbtSdEe0YTSIdKxc4tBaCL7AarZ7daQw9L3NLii3uA3gHIdlOVAJ1q6bzhhg0Pw/0VhgiiHahVtKlUNG1guYoyYzsqrLVNOefQqzIxQZtEWQGKUa5ozoxlnHglffBpf2JS95H/tOtqI6Y23NoA883lbwdcuiZJF5Zy3ljBSXSnhac1OaX3xxi6YPFNIGiTFB0I3Zrgy9c0qWwGr8bQVmB+yQflNlkp5mg78zU8aGnti6W3/8OZ3TynN7rNXcuhu09/YpoL9Vb3gCwjKRaJugkcYjHkiEQ7xBJ1gIZyLkP3gUvgjk1EgaXTjrtSwkYkJsq5BhQUW2itYARj6p44MQnMlKaZdGmWNixGZkCrfBtukhY0APJcHl6n8FhdFNL1GSUkI5mblnqoweYvCpDihPb0JlmcNm+jbQWcfK3QKo1GU9SYonvwMGtPYWvGIPHy/gK0z9IrYmHRRy0H73/UfBVzR3TUecHgBdwD9J19N+35T0ynsX2bu8oQiyYGp4HTdu8O4LSY4xwt0S7WKpktV0kN52zIBDAmTc9UG8u6fASAQrK4sEg6amRIsEdtrCFdhyF9miamysFqcoVySgqV801kpADpL9xo0VeoUQijffHBVaT8zk5koc3n6SXpixLUgdN4kATNGKnsLDJuOHLUSHpzx85pucu41SiVjpCSNbYuu/RRoi/DW2up/xrML/io5OD953e8lRpv/flA2HN7gL6zeIbun/3lg9xiDugdlAQbla6Nqo6bWWUJvIqXyl1bnmxnfNKByAXskbVQK7RacbCKWcqdT3yyL2KT5mFAJTc4hEKdt9mw6CqjzOxrbRmQNsWQiG0svVhMAfMMQ0EKCvcCIdqA6bjBs5ueTVoe9HpOBidlHwMom8VFEjl2MD0jqxo/OFd666dc1qbv9HL3ihwEaIC373SCu1itZKZUIbaeca8iWaWhUUSpZmE3sxUSHRBkxsFIkWv8co2E47hvYnHCdp69wAA5krJAA/d8brOaDx3GjeQq6QYqWeLQzej+amJpgeduHLdVjBHnSo9+2uXV+04vdy2g7Z/95YMpmofdBG+1bCeJ2CkhLCZYrfSgXEtZdSzDcMxycrxkIKX1Oyn4PlMxcWa321TfVEGTRIs/J6Hnlo6+LN3XMZPimZGsXDQoxIhc/CAxgowvhQEFi76dgWSjwxMKtEzT9XPjI4nlrp9+VcwlGC4ZD7gQrCxs7ORtkrNRJ17WXvBtt9PgKzmgB+5/JCD7c+PmiMqQRGK0//weoO/wq9z76s8fYpw/QpfRoIEDd5RKcUw0/wOt22iHWGO7plpZEgfuURhN2NxGjdwwiLX1pDQUI0u+EECs0Ir8AaPKDRW5vOtM1eRWAdaB2Lh0YtqS4qzvjEQ6Y+LoRIfxSvK0wzYZZkgGd2JzLsuQqOD02KTN4OheElf6L0qhv3ODMLSgZIJ7PAhAUnNaFJCoJABSoeZn96mblzlqPXj/br4G1hRbzZd7kVLxfPR9/+j2kvPdYTwU3d+9HPpbv3iolyVug5NhtV2mFQKLuGGWox8Io0MvsSi48Fhmo3rLVo+6mBS3ICTcok2lAplpA2QEIZY2IGLkRg1CE2kfSBvhPOWcRZB+O+aItMlJ7mVPqr5igomz04qSkR3b0dxCQos7JP8Px/RJS9c3oTuTNynrSNfsbCuW1HWD46HXltTXOh8XK5c9Mooi7VTozPZgwAfTLcH8qwKU9NBoa7RiqJSfKWVRa26VKcwwW6k9reDPRd+1B+g7+k72vvZXDnPQ79AghOS+Z7jnGfA8QonTIOTJDI1TRlhpPLAK0Ogmm5ju2drR3Ae5b4kjy6CySOl3CZikoiOeTP4clnESWpE0DM7Pw4HVLSlp78scuAV813lTFD8G1HaFSOI+6cYt+pzIUUi5uUhjOe05kadIchIOyRrk22FJvjdkf3efEIvaGM9jxuPUz5r4Qq3o3sblzecCkaSGCa7pRjgN3HcDM8TNSeuttSGBy7Mq4zpV5BI1/OCswueid/0Tty3zd3q5azj0E088wU+850Qw226XfF6OjiXPHB3LLr+VPs9gjRaG5F4yL2SKodFOjeWR27EmNmp8BJNZzZr8yNE2a9xL2jhKBE2qudxFCJnUgHGqaNG1aiMh4cE668naVJHCgzQcjqs6nk3rtdx65wzWhXPSLZaRuXElB7xzVOp3vXatwbfEyeA0gL5F0Qnlzr8j4GhpNyun+wZN7xo5MpE2kV4CfUBffTowKx2SrJ3S3NCHhYPU3NOQx1UKlmWUDEEx5jlrPFlPlTaCqUzoNAOdSWHNM3uAvs1X+ckLTwbR5HQEC2kFQhNq5KR6NaBQeZUgO3bjy5O13iunSWrULKparbIKNFucVMHEeFgoJHq+smEkuV/SGISWcV9ar5JAab+TigecIwguxtKztCi1AVIyEzKck1DfVkKmardpD6V4IebeBzNhiZKkF74dufcdiRd9B36nBnT99y2KuVyMRjtRppBpnYefk3Gd60fxWtDrll+JLu489SyGPrmxInLy9aNru1CywpKIiEYlESazAtPEKik90D0uu7Fnk1RiGCjwPF83u8A9TKBMG46qSHe6lIRKmsAnLxFSadI+ny1x+IUrlXdc8qKoF8/N95ovNZPHH398ZJzjbT72227+HcOhCcAsbJStwlrFY76SmmmmM4OYsK6XctZDXS7ZmPFYpW3/oYXnTzfUhYfKcnHF+LWwp0VVCC4BGNec+xrCQCMGBnlgme9TkiHDkdyAiHthBqJiyaM5Vz4Q4PoqXJJf6T/yJVKWzNFGEdIcX81dQglAJMGg17cE9n0uHMpzsG7qDz1gaCFrn6vb/xs5RDmZPXckze2GTtQBdBIKYV0w93UhQSg3eJN8Lml565g5B5NwNDExdVoOcMaUMVJ6CCmDLLUqUwJsxnUcuzdWaeObVodAnPBKVUsDVd5appQ7BO4kajx3Yf9PzkBXhSbQATEXZqTmJuhBr9t5/6n39+gVum00vg4dvGmAprXO5175eoVjWvdYqaSZYlpZWfFNT2rZ81JPy6DMM93zGQZph3GsmE4ta2bYDdjiI/Irx2rp8veTasGQ3GwZRU6BBuLKfghchBq9gPwdBJjMs1lb2F7HGkOZ3PwEKwc08+qaYlNIhnCGP+aUDS45vns8zt+N7G7O+87JnkXsym1ppQmehNRBLcZQ9EthPySNIDkokYzklqUO4049kjtdOxM+kkWRwCvQZp6J5yLoLDJELa2IFIuqGkXJAhcIWgmrY2azhFudWqW08C0piAx56wmmMz9tdRzn5uUafapWNP/a+cpHLosSCD/J4nJQZknF83WSlBAh1JKzUsPLuu20Ewndfuyex3YdkHu7mH5DAX3WnhX6RV2HUr0OWRxyI4wSuoeB381iK/eVhVqcX0QxXm0krVSjD4IjQ901dula3KqeqFlj5URV8NJ07/z0VPLSQ7R6J/2FNFFZe35ZoYisAUo/EXs6bvsmbnKTxIYJEUO5ZoQXMW2MANkjCPWgNCmVqFuGwgmmzneCOHDua5Tjur/w60cA9klfIzeCMfWxuepdOtDegXHkIrLP2/suq7nn0nqf/dVlZn9s5HEN5DXNnMNJ4rN40Ye0hUx4ErxIIBim445nOh2ax4SXKxLCuuZhhdL/Ca5TobIeGtn1DHFrZqzhvhHAaE3CQcZCd+JF7/grF8LHZpuxkRHrtMYqY3yumfjekUbsMw91O+Y+h8hjWDJWB9pwg0p3VdJe+dDbP+Qi19+ocscBffbsWaEP6DqvlMZsYgLQQO7ynTjVvTJXMvYPy+jkjOaX+dRykmBgQiszyQy3CqTh0IvbuhpGUVAeYwK9EFUqMWjds/TZfaWs+V7Jo7phUUkDL5GkyW3WikxnieukK6zKUDDegdqEZqUagpHcdJtc9mJPgJHOD4302GHUxdKE5lFdGx4RHyT9Wn99tx7PhDNOzkfk7ZHrqVcjUAql88aIq00lEFd9QMc83P86MJD4QQZ7TisK8sSTvTKmC55qrQTMZE7B4VJIc5byck2zoEYCVGh6S4FaXjHM48qKQHm1WgKlCcN4iQNKa9Keb9OOr9tNpqU0fuRLI0q0iugGB565WXr3n8lZKc3JYKLb1BxVppVtdaeiKT0fSy5XQMHJQB/sGkHcGzNVYYgRZClJRJ1qubr06MFHd76l3A7fhDsG6CcvPFnzbXVSM1UiEAswbSPqHdNZVE3RlB899VH19Ytfn1pJMpbqzAiJoeAq7ngRF0vLnXTsZDohmlOK2zF6dBptu9c27SP7q1k7bdcmOy+/o9q58m7iyuR84dl4MdCtBSHTxNo0C9GaJmtMZl5jkrZzZSpeKunlxcDKLEXuCZtJMEY7fyJkqKznxxCGhkWVFIN6ZkUFUAS2v7JzZpKcaVpGC8Y1c8eQ97QzJvaB7uJIXGxUUZ80JoXdchOBo8+unX81OSu5EFkSfyi3tYc6ZiZrh9BrBZB0hE0yppUiDQZpbehrxBlnCpTSGJVSVt+fYlAJTNaO9PINX7faBrmXYugbUar0WG0/8LAKRmUIqhuaXsvXK0vMkl7EF/PRva++NvHeBZQqNb632LoK8Ynji9hMxqdUN/fMarbjLkAtjvxFrExU3N+81POSSuLLNq+WojBK0sRyL1peiq8sP3768ddnr44hwL+ugCaRAi7BpGZ8nGUMrUw7ftlv1YJaJmdk9uijj0oCeiNsiFYLIGZprYwyM53QLqllI6qp2wuvwRuT2g8nQyky7fWWwyzsXdfXU6gd5mOxPG4tHhxLX7t3PLn8Nm7SpYpemuVZr8dQZuSszwXDFZw4IEV9n2XcE2lztgqL80zJTIlS5KlMaiO1VzgXUeQKqfdcLJQQEqwwPPSk9KME/IrifmSBR8oy3zAmnBmQNBf9ybSckdHQ6dZyEYV0L9xR97uQl53DKOlgnBWFrDqry0dCIvmiFn06nxJanhqjfKZTBBn7OusFKLsAaRLSitVm0r2Qww+VIUttFAieOseqVPthHE0d1EZ4ApJeJVu4wQz5q1DmYM5NEAWxLTcSf+wQMM/nWdpjQveibGW+JJeXm2L8uRcP/bfXlBE1JdNGAGEq0+pMdbzrrt2TrBZwWV7odQzXFaPnVesnHnvMpfI9Yy1736Wn/FjFfh3rYQZYy7I0FJ6JU0jnP3zfh3e9B/ko5v26APrsxbOhsWa/Ba/OMnqLzUqms5hSE3/4vg+ntAB86tJTtW5bYMCSqo38IOkkSmplogyXX5mA9N3NfWZ5DEqQdY9yo40Mgnk/zXrzp+bjx/Fxffbi2UYm7QMW9KRAETWSK9OHWt+Myqa9YE038Ujt1jd999jEZNtrHGbgeRxUr5Fcf0Vg6pIUZqxURtXtEZiL+rTHuzM09E3lxXFiNaeVP+1KpMgnGiNfIfe1ZYFBz9cWfTLQ0a6A5I5NSjharDnfZkvxrAU8B3g0QYDkFdrj2GoyzxjubOhKcQSF1kphZcbRpKhl5nGdMh0rWuCRZsHnRrkYl4FcSsV4B+8ntSKgEDNh8vtWNgiAcUarP2bi1ENmButLBlxjrdTzJo+kzBvnhrQkWvqmvejJ3mcn3/cPXyBNlMf2hSprj3EODWtYs/nAzStwHviJsRNi9vosTOyfsP5NXxHzGgbcE/YJfnjmsN/NfN+33Zr0sGpTa4U184898BhteXFbS+3B5ckOJZW8+levfjWKk/igNFgpo9fuyu4KKkybb2smDoRnz4pqtYpRFOFieXEibseipwwvRSXMOq12nE10YWYmI53m51743HG0/njgsbmW9prpc9d7ha7z81c/P45t7y3IsMFJo2FMdLD1zI0jybeOeKClNqSacnoK1IzzlnfoXoVelYRbD2S70bv2Mmf0aeSQYhBpRil0k2TV1cNSmKsLac39p/vHROm3g14R4mTok84ZfYwpypSg6WIFuEClkVMwABkVyfSSx3BTAhtauZFOmlRr5HgEhvBMLqlk5Wa+0eTJSvoUxmhJpVyyG5CZ06nTl2NwDMW9EnXjHbh/92AMspiVSxF2e5ySnQ05B2y8v7X7l1iKlsKpEwZLdbRpxhF1m9e+cq50z+cLMeHcuXP+Rb1U9oIeMbHAsOTiTjkt9XHZvxwyWSlHwjY0aiYxmP/Qye+jtL27BvauODS9qb71DzHLqjzgrXarvdLrjCePv/vdpK5ZHQxxVeazaqepGLfSkxnDUOPccracnU/PyzOPnVH01o5dGLvfKMGtTa9PxpPtwbf77NmzFTWlHgbBJ9yz0qbC0L768OJ/WIrS+XcOv4kKgqBdPnh/pplPmOAAKkwXL5X0cpMeLAHQisB3zvtWS49k6depOKDQNQonpv5vRsoDQ7pj4/RjoDn4wjq7JqnKCmDeahhFcAJRB+Ah56KiHd2bIpHBQ7RSqZBJJ6dSql1Om6+Qg9Y2CollK8HhtxoysyMzzdLRF+dLJ/74A/d94KUBfTP+wfWno0q3PW6V3S8zefVDb//QjlPuOjH1PIQ60mVPeeMJM2REuPHYA4/taguMbd3gwBzg2WfPHrJVO4EGu91ed7G8WI4fe2xN70hM5usXvzwVa+71ZI8iLQQBOUhhaa49l4bNcNXKRHU/+8IfnQoE05GJZt7z4Hs6gy8EyV/f8/yX38I9dhyk4oZRjBBWfMG/8L3Xf6+ijf7+4edDMvCyf/h+gywszjHQcaRWbgRmZcVxYUP7YqOgjQ0lcVLUxjNGWS51waXX9Xu7QXlbgeg2+neLQC4ExbDTEpSB0cwoRfbHW152G9dbDg6fzHg0xbROF8N7LyxUTryGIvqzD538vnWg/b2nf8873jg+xhN+LAuySx++78O7SoxOjG3q/FQEJaiAhklttQl19+p7Hvzx9lbTN3h+24CmxZynvGMBRcsbPheUgu67j7yb5OTVQiJGfDjmHHk9yixvZh6TqGRJWNWCVmd4Zfull790wmpbNmPmtQ8d+BCpdNZ9ar524claW3nvMhYjcg51HNpgdEPb//hzS//S66rOj20AtLEYB/v2dXjlUJGfwokN2mTCxs2S6S4J2+mR91EuKlCeL8bBCiaRJAHnlWRyvxDiabe5JdpOnsZWdZE53xPDyJAkGEV9OwdZElsIyERpvE6Lfnul5e0/3PPqx7hVvfnooWdb0ZEVMPLaD5z+oWeGrYLkZxM8FEyGLDwOCp6/Hd0zAbvy9UrZq3gN4Ytx8GBl/k/nr27X1L4tQH/5/JePCc+MJ4lZ8Jm//Nhn/nMPzpzZsLr+40t/PI069TqZYr41tisF00u95Weh0Tnz2GOEyDVx5NzZSgbZ6TIvnx/mzMWj+Oz5zx4LFD6SO5xzcqKw2pp6ibEv/qcnvnbzV9/13E9ahArlEBhMHKNQeB0+MS15ecI51ReO8bSwIq8ym3Z922v5JunRAoxAop1TsvNRQsYRleac8n3lbxGAcIEihhyhKF5Qry4AACAASURBVBS3DxqyT5JCbz2AirHkZu08e9Lg+Ea9hO5vZERy8nCufmMokILE3EvXTyzjbD/aWM+5fzvHLEqF4Kx8nlh1oN4RmkeNd14cOQVeUEWA+LXK933VeEJrzbt+xf/KKEvg2bNnRDb9riMqU5UfeduP/PmOBjCi8tNPP+3d8G9UyoG3n1IMhlC9+J4H37Mlt94U0E+ce8Ifh8pJTkp6a69Pxpfbjz76VzfInF989Yv1MR6UukkcKi6YbEmUkhTL4Zxoi+5jjz22IQzoPz37uQcygbp1rnXxVm/fl7712fu1L06ByrkzARoVi4zVy+Fy+T+/I/nUMcb1u0Y9kEx7QebXxxJRnlQGA/J5zsMBXQg3aZJpe7TMQ91DlSQBZj1m0ozRIoo4IYFxNddFzhlJRs7DV7mLWll1zidNdt/FuXg2ubEkl53FGp7JT49esA311z1TNzy3nRrpPwyjjTOLvzmrN/kiAXj9r8dWL9BOz6e81ljx9j/EUaU9f/LqtfLDL7v3DTCLW9lXfvw9o8WAJ65+NRpfbj4cZ+rZjzz6kdfDiIJfePYLJWAwLridkgCzP3TqhzZNGnlLQH/h2S+UmdD3i4C1PZXefM+DP75Ovh18AM6Iwv0IumTlLEO3OwcmiNLGSqMzCszU9vPf+vw7ueIvffDRD5IecuQn8nPf/Nxxxu3DayqqPDLFMBsZbWektM+8d+EfvxcRXD6NDZyPdMrMLyW8NpbZoE5+PWQY6ftf5pihkFLQGslfmpzhjUrB6swHmSLKjPYFh1QbEAQuyqgETl9MrsWrpdDK8bVFVxGmRYKLE3mKROXE5d11B2IUCay5UjgvedIN9zeX48iFo9A+yOTRcYv0ULfLEvvtY15tdMTEveT8ZC12X2t899c1RrQnAIV49bx69Me38tUgcaH6fPV0meP8e7cA3k6GS9y6V3+toW3jEDO2+b4HP3TxVu1HAvrsubMVy7IHrFULiyvducff/fg6WbnojLQdVebtN9JwySTq2Ng0ScCgr26ywzf+6ghdZNH2S8/9wbuWxia+9fiQHD440C8+/cW68eN3AyCZzPNnzSlWw31kAzC4WLGzL5+68YePcASnBdkAauK2yD2JQZRhqSZJnYfCzxNrDQa+Uv44+u3SFxnKeoDGaKC0BRT9DVpx8huxljzVCPxaGEonQF97ZUmvq5my1MRFB9wiIrwYH3FNx+VBIAHXyfOWM4Uu9oqTidoCCgNckFORtMyjb4MHmTNP+zYd+Ux2ApTBuoTYNJjcn0Bt2nDnepjcKL31zzpi0n3maTWOHlz72qkfffrMLTzrSJauPxjdZ7RIfviRH359AwLOnGFnf/ztNR2FRyExyQce/hH31RguGwD91a8+EaXV8ukM5M0my27eykTZN5b4pUSXlae5zixf6iTCEx5bvrG8/PEPf5wm4paLky+f+4N3xkutCz/6/T9LFqWR9WiCaqeit1ilTzCXrLBfyAhnLUewntIoA5lcf2T58we5XBgfCSTifqQi4UyQH7BiXimDoGIwiMi2a51jZhHk6mzNbkC5Oo24Y9/5mSgZoHO/aArqIyWgS91MOmXnXkoWcqus0zujzkWHtRjZfigXNSVP+ty90+mtgZPWm5LFIMk8zEXGcNrZKt9njn67eC7QnNuMq14nBNniptsjMYmMKMO57Qbna92eFutQwDAWjbFYVPZr65XJeVWD6M5WHni2JyZymZXiiKVUSgdP/8g7f+SWmfxJjo7HHnlr5InZx07fut5uXzqSep688GTVT/A4Z1nvsdM//sqmgCYtBZ9OTmkLrWp36tooa0/Rwdlv/vuGX6/VkyQBYs6pjDWmqLMgMfFrovX445vb6v/om//mPssD3nwxvrDZCvb3/+T3q+Uqf1haPUXXRovEAlPU0LOcdci/KZFG+R6vHVx57uh+9doRXy1nZH1zThfUhtb+ZP7of/5JO2BMIKzHeGa80HA/VOhFFrlvgFEYF4nH7mXPrXJ5KQ4oA4zh2iXoyh841eoHvzp2tt47qXDuz+lallDG0GVOcqGDzlCZ+1OvBR70r9t3hDIkkLvgKnrpKL+vin3dWymZ3hJQHEpfDCru9Vb3T39XtMYIK/WElScs8yKXDgqtjVlj5lLpoZe4CN3KhYLijZSU8ObFqFl/+VYiJI30q1efiLqL4TvEcvXpQVXubQB4JBN+8mtPVis1dlJyefMHHvjIuiSS6zj02Wd+/ySrcq+L7DUyWW8yEDx78WwAKyuhDi0HxYXxIi4XpWeyZveZ939s6VafpaJPsjJ2Fua/qwvm3E888hO0GeStuDl+6YV/N6669phgUZJC3C0ZvxsrnmmhVfxarCqPVDCdSaPSJFa9bnffgd5zp2vpwqHA9sg3uEcqOM5JM5urO4pjRx2D5GSC4aQOsySeAA/IZ5qSe2rLKThAME42PMMo5YtzaCsCX3OtWT+KL+/fgU7nK79RxQXI8oFMdQO+HvRAnAjdjxLM4wqAMjUppA3nrJLM6ozc3bhSJOOn1vQyj+J5RtwfXZ/+TvcqDYiUlyvGqzSkFRXLhF9cLPUqNxdL97zc8SZpreSKQYPMknSmLnmNxoub+TmT/Dz5bPig1sp88B0/+eJ2rX3UjqzKOwQ9fv7cE2M+lO/zuTo/qKteBTRpKkSvd59K0wsffPTxWy7U6MK0YJyqqslmmiFTxJ1RxxloJroaoNr7yKMfIfluK10onn32yUMZZIcAWs9/6O0/f0u/WTKw/Ogzfxi2286LSz02pAIsJuPpp3/PS5IDYauUhr40Ywd7L54qycV7fdOtM53GgSHf3zQj7QFxs77r0Pq5dLoLziRSVkaP0m8x8uNAJrhybse0VYsn3M4VKLiLesmz0JCUkCdv7Afp5okeaX1H+Qmcx5xjwRRM5lLskkOzk0ddvgNSgGhmjNaoDMnnyJSkzE2CkudZpQo9s6VFC1LgpKJkeKv3sm6hmudTZwr9UHlROcOwqtEr2TzMBjnSRqWQdsTY9Xbp2OUe1gZkcqfFoTyr/3973x4b13Xe+Z3Hfc3M5XBIDkWGeti0JcWULb8oWZYlS2wTO/Y6zSYLa7eLYFM32appGgP7R7F/lv8uFigW2XVTB+h2GyTZBV2g29prw3YQSY0t2xJpVVJEO5EtWxYtSqQ4nOE87uO8Vt8lqVDUDElRlC25voAggjz33HPP/Z3vfOd7/L5YifCU4t6HC1kt8Ps8eOz5dSB0eymOjzU6c80HLYL5C+81fZESko3DSBglgxh4NQxMDSTUzrnnwr11rGrYD6qjuR63ixPW0rfpXx2dxdslQB849n/vAgJFfSE7utC2gp2hahK3xE6riE28KjDRe1UzPp7W+XxeHzhwQPfXsVHXW4HoZbrNtK1RxOQp6HcXW0hLXcX9Fw8Qu3btsgMvsBVXdmt8ti0bfrTREVPrbFNt4xgVr6LQMjLECD0ulZhLz5kc1tDxMqN2JHbkaW5F0MhgkPye466fEJ4nMRuIWOSDxnzs5FA1Q/k4o+YkkhCNlwTd39N542i9QJMeAh21FI4Uo5iLmIh8VEOm7d5op8Mowtn3n9WXZ/mtp/XjpOiRpYjlRmClNLNTGrijKbEVUlUmZwFiBHPLMc9cmGL5c2W3q4BRJ3PnNUlcTMQ6KUht3odWDyPiGu7WCKzm9bTbKN5iM/Prvnu/nkTZLeXC7/TYd3bklAncqMItENIVSrpGEYcYxWOA0Se2/JtTjfrat+9vXJJvuksycupLd3wDg5umcydQ4to0vCPW7jvX4uVZykvMb/Piiz9wnI6uDqlNB2h+9o0tX/t4MXXlKp9DBk4MWPkxsKHZ4lNR4NxSHeki5sJaX0eriInabC2RL9rgds5AxiCVtEDESbx0krI6yxc3kzOYcMfN/K6O40RolZj1VFLyBFcB5uMmtuXEyYOnWXyH2QPsfDvx/PebdcwkagAwJgmzCLO5INRV1HIQuECYbQy1VJI3Ow1KY6gQ3C0l/2jz5JTTPhFSL8aaG5fz6zJMoEwywqk2ZSD0jJKps15wqNbX19+QSuz5wedTjg42YOw1ZfRU38Kq4xWfDRfD6ru99ZSbtjCAyCBrFeXVoCJCB2wxXg7CPX17LqlA8zvAnWHn0Rc6iRZtv3PfN1BKTwP6l7/6x7VEGc8VXacWOgheJZCW3BxVhYkonzNOvJpqisn2H6yUtK43CT3Dz/HsSGjRVpdHdoqqqfNel/q41YvCdqbjVkp1jsrQ56A9osIURS0BZfOsKU9rxSjSJqAugaY9ZFOc8R6qae9hwnIw46FMGErnXHgQTHJikwMieicNkejFTlJ20WSHgVqGG7C4STKvCdeEo9kOTT3coFkvObgij4gVaeIEkrJQMq8mmVutQaoa2Jmy4s3hbBUABPEVxDJo506OzgS3iikl4BzVcE7nM9XFpLK/Rq3htt0htZo0Kh59fNs3rzquGS1lrx3/f9l0s/KqRelK7qRIFHkxgK0iLHEnp8of8RMLGQ0GDg547Rl+TyZeO4jYTQCN6oZm1vh4T3V8GQr6koG7UEPcfrZ+5faMzbw2JeM8c1jZrZXP7Njx7YYOnRV58MVOpnX0IXYqPsUdXeZaUGa15omZmGIWUxYxoZsVRd8hUYaDyABEaWKMw8A4WgiHaGVxBtxgEe5k80duBfQBJSoyNdpCRyVPSGpQXUkscehaTGTKtCo+Tb6BSwMZwQwBS4kkgIVLBUxqyqU2REiWigy3oog4cQSe4Mghg/zYSTw3xVRhg+a7S6rDvElK/Df4kMTTbiIDrGAzPUaZMxFknODx9Y9jhF5DM2rrBugQQnQxcERs9Ggqny8uMymWDL4/0CSEc6chWmjJqoSICggSBCGaJi0SR5P0jVdPXVhIhUX1lzQX7jVAT6K6kwD6F8cG7ifKev/APxydWqr+u1JgqqeCeJ1rPBVH7ZLSZqNkaBH349de+sZkf38dZsPrNZCZfpOMi/37aRAcZ5XmDppNhzQsZ2kURDTfZpEomKAATVCrBaTJ9yGohUTYkmLt5JBxwoOIgJ3aQLnqIgTjL7AQwHQIacJhp9GSMA3I2SsBZaKsTBO4o5RlSMCgFPpeZtQVYzCebhq488Pn5k5KwtyRRGgbaZDYOgYBU5ozpNqdqMqg1uXeHS60M584MWCPVKCLU8hLJZQN7nlL8tLPH/q96nLVw+ms/5esLhJmi1WeBltnVCxTSmgrKc6hVBiJYPz3dn5rQdZTPFiuOg49TKqJHff9/tkE0PuO/12vjPTJ11/YU/40QFMPk5gFUx0567ku5LSmLdM6py4oW51/9O7/cEVk3nXG9XK6T+a2v7+fbHv0i/cwQm6VM1wIFO3NdTA4W5ho7p8SfXfetWD0J3odtUGemuQMSoEIBiaQxpriTBfB6FIMOoDWlujQ7Y+JRoBMHGdD/7tFxrwTHJ1WEgJqmXEZq4oXdNUWMxwsMmFk35G/z2Z8ukkaGsQiKmujy9WCiNIe0opwrqlO6yASX14CoDuOwEYjVXnX1t8/k0zWPx39P/dxTj98pefJ4nJX3HK++FLuSdJ+ShXXAZaSOmqJgKY4MZJzmIQiu9DXtwfNfYuZCJfyqOvW5uU3f3q/UeQWgkygydWoHP1S6ROne0FiXyRpnO0uUT8AaWIgAA1VAmSKAy8HStRq0hLQDvFwz7DsJ1dGSiaCbd8+Dv5os5K8XXHlMyyEYaAUR7VJT2WC8d2QpMNd40SRwcHnPYy+0ZNBkwTIADi+oLFHQooElBElUAprtHQ2Lk091ffUghwf6J3k+c2bLMPObbvra+cTQP/87YEeo6HCy/mz17jyrvFdG9+ehCfG3Y5IMdtyaMYC06SBphT6RCJZhbQs2AU11bfIBFy3AS7Q8Uuv/2QLAbM2UTmWeKE5MIE9mtUUA46pN7O0o4ZoBlom6oOikQYTGAZVYkQtJk6Q4jzUVijVx0VZeaxDNgIhSuHXX//HdEQqLcqCHNHMJRSJh+kUMVAqVqthM0DY1/cUmu1WRGigZWPd/fw2okwHGAjiUE0Jni45UI3LMuQsZhlmrKY4Emx1i3V80yLZ4YkOnR3dYkr8eF/fnso0oI//bBUVtCM8N/bu448/vZCHcImf4/o2S7IkLM+2tW9F5YrHHe0zwlORBNuymdQiDhwrXVSeKo+fgGCpweHXa9Qv7f/bB5lNViNl3vxnoG6cMCRIAGKBRj3XYM4BtuVaUkOEASKkNrFNaRQrFdkAYSx1zBwVa+pKVtLKtlH63yIX8gOgidRuzWaA8iwz0CS1SbJ6DEXZCFMqVpVarGLhpKMnH3wyWml6L7Rm9fbulSdODKSrABlNqC+kbjKKuagghUJWLUWLkalOBRHT/3r3H0wtMgby4ps/8dMOu/P8SfYWfucE0AMDA3bnRnWvJ9i7L9xAevRSAJak7nyYt+R7v3HcVRkaV2TKKEhrh6e0lLaVMMpQgVJMUV3RglRpR662iGt/KY9ecpuXD/z4VsJVFhPEMUZUG3RTY+aU0BL/l1QbV0rKXEVQ5oYVBb4tWU0rKWNT87h2q5ZG0La3p/XYWF7v3r0bPYt1aJtQdejncUu3AxVIK9A+5Sj1iIcBqbhLMIIS3apQHVQjqeJIE3F7zo82bdqDAawrIonnTw6CGbJtd4kYA8qicTIVjk+t6oxbJgoOyaasWqnmUYv7MlJIvFn80s5v1Y2mm9tvciB8W2+gDNTOe/7dTMz2TItfHv5ptwSVGk+5v7leJCBLRsA1NEz0wFuAB+8ct7XfyiyqLOoYVxrqsVh61LIsEwPTmMQERBDGIh3hoUkHaUJDxqzw+PFJuXfvlYkMyx0WWglKJWAjMAL5KHcJMEFQNuvWdZgg6DZDQ0OwYcOoGR/vMcPDw6a/vx/b1QVXYiF46b9boiltW5q4FmGeZjpFgXqgtWOQCTq5mUqiWUS5rDHDasBpWA0MhkeKIDgnHnvs+2KlpfD8OZqN1Ui8gv92c84Y3UIoZEEJT2Kuu+EFQ8TY6F3WFLwBdj6qOgBpierDIvNNXnvtrzPSs+/JmNpQb+/eJKHg0gn65MkXnY8nC5spNSO/eOH985+2+W654Jl/H07kE090sjjO8WLxnOV1+jQKFHV4k402ZMOlY5R2KOGWBGFpzaiVZMcgJ0ISu5TYfy1DhDYCmXaF7REBVUdWuVHNJJRV39KlqqszxYyurKuY7mDSlMsbDMCBZDi7d/ckwNy/f5gA7Ep+h/QOY2MHqef5pOLHVIecpVyfkmLAAWJOUjanRFtKUpsSYyklbeTwS2omJhwgBDkT0EevNCeCRiY2DoT4E7GsCLUUZmsFxbQEqEqA03Ihr99KzffcfhKpnGq7S2KmtGFnobbuwlh2jLZAweGa2tWi9IFazZSYtBCJm+l037ZvLqnAJ+5CzL9tswBV+t3eP0D3+Eyk4pwR7Bv8WRuQ6HYr0Cc+CYfG9ZjEpfaZEKh3T9Jy2WYANS4lZ7ytPbErpyRlNbA4IzWLUsfCuAIMCpbEWAgmwyQmHFKtDCU2xQTERDAgd8fcejuztYzQCow/IwAVmW47244l6gdGW+BfsU4tUp8iTy7VBMstYgEjwmQESuKiUg4IG3BBxVIp14ROVVOrSaEerbrbpDfiqauJp1nqfF1Fu9lwcjRZ0i9/vbuNcbdNa9XMNLCYkSmq4tHtv3YnhnD+vZyjKoFjhSql027Q1/vvF6UvwG+3am21WwFpCgtTv5p77rvMxokNO7uDLiFUZ9USx786I8av4mU+K03JwMAAzefzpL19nJ44McKy2TYapgW1uEOiAP8PCGc24bWQwIxDJeP7EEclygJO0BgVBZyk0kjchQ5EAMeVBqoAypMGs1w85RilxDTXRso1UC6DTLlGqtg4XpsWMjZeUNIVn+tM2dbTAWDDevdudCbWN719mh8A8XPrRridWDqtiH36gYsBQwjqRx7pcVRGuMSmHolIi4plNlnYhhStSJzesePb5eQstD9PFrOyGdNPDx5Zv8YY0wlBhIL3ssTZK4z2uE3EJLVORlFLNm2fuHuBsM5Pc/Ju8GeT/n5U5/rrDnNGP55Wc2/uK9FjKfXl9otpegjeJ5/saS4zuZrGplkqLRk1o7WCGkVz6syu6MQec6Oym2KgWhTVY31bn2qYBTN3ehDMb/7zurVRTDttJX69fft3CvOnr25OYZIrWDzXBYTnWRyf3L79O0iieLNP/s0NnRtw9AnA3t241iP61liRMUfKDzdvPhUMDXW6AH4qgjhLgbYJDS4xosiUOfPKKyNFPJ/NgnssG6nH1y9uKsb2+dXV9cyiTbGG97/0wLcQzFdgsi6gce7QZplOZ9q1Q7o4p2d33P/ByI24zd2A3/kzOSQE7+Hhde2ylC6hNJ55STI4+KwnrXSLRciqmGifgC5AlX24bds3p5JDIeRSNYhSIHXeUNEcBXL0kV1/fPJqJmlw8NlUbNyNaFPUFf1BX99TDTOcGgIaH5jkGLLjOWJ7aw3Ygmvv5JyXuZoxfd72Jp8BlJC3b4o3Cqk7wJiR2uTaU7P6LoL99dfXpF3XzsRcd+hQNmtDSkSGH+zc+SdF099Php7odIvK9dC23tf31JKSAFCF2fnIqk6X2WsjCgU7grPzdeYlqRxzG2GnX/nK7RlBahiAnwMpRnfsGP1cWt/kAF1o+EeGf7o+iGVt+z3fmpuAStDDFwRBC7WhK5TKNoH+8NVXR87MmngRK1//erc3HkQZG2CVUaSZg3j3oYe+e4kPD9sswSRM9u17Js1T7m0QS9fzUh+Vy3JyKWENC0rouS+N6S4AtWbHcToVNVRyffrAC6OFJQzuM/zpb95XO3r0x+lq1dX1dtx//vXfdokI7tBSFlv8zuPr56RgoaRev77qS2laIq260NRoYnj/4Yf3zmU0Is8PPutlypBynFz1anZ1dEIVCsVbKGWtkYkKRHjnx8fT5aWGLywZ0MmR3PTTt95qyShFcwLsdixpRwj96GY9NOIiPXDgdPwZXpTk6NEfp+pZqo4f/9mqUEabSco50rvxctvvtO4LWUX5LQRYFqT+zdatf3hm7vJNrGEx87WO85ryDiPE2K5d33unzhK/ZJdeaPljf0Gg1hDLaucAtThmo0qR8lKk8tx+rwrQszfiw8vlWppzp4VSjoxFInbMyM0ksX957C9zpkh6KhUx2Cgga9++ZzK+z6N6fH43imzGA1O5vCGuZ7+dVgHWbQ2NKDxwzx9dFhuBnuGKOL9Wx6bbSPFeb+/e9+e/04kTz2QqFTtvjL5FSlOedMnwfN8EGg9aW2lmItL08Yefvmoq3WTnd2qrLUraiOJhbFnnoFqrHDjwvdpyYvOXBejZF8eX8Tzfo1TmGFOthmtjgXWec33+RgYBjru5zd6hYz1y9mzbe/W2M1y0UWQeJKTlcKMtEwGfShnngQf+NMk4rncdPPgX3oMPTkX1LEQzkhAj0BoSGx49+pPVQlQLjdoMDv6v25hrWu6986nD9Z5/9OiP24UR9xClz9x//3+8TIImUpbrdh6TLypFJs+cyR2dPxfoYk6lbs1qHa6TUqakTA3Wk5qoiixVLcCQi1dffbbJ902XUpDVOq45jn8+jnX17Fn/UuWG5QiNawL07ANR7xkb+zjleZkMIapVKeMA0Kkoqp3r6/tPC5HILGfM13zPoSM/2hJXJaO07WgjsB4+/D+7pYzWnjnT+stGH+rNf/rLzQBUbnv4j4cbDeqNwz98KKy4Q/VAcOzYT3Ohqt6x9d4/Otjo/rd/9dd3Y93y++77dpLVPP9CXVgauUMLOLllyx9ekfKfSOkvr2qLbbZZCHN++/a9l1Hdohp56FBbTil7ozGaG1M6smPHf76CthafEwRRhnONi2tZVQ+QzTY/dq7dskgHcIaZwCUhvAtKBcH4eH5FwnxXBNCzk4xxyptC7hISe8aYHCGmSTOibaIKxWI49uijf/app0699daPNhCi11BKBnt799Yl1EGp5PudvyNlNLxt29MNg2XeeuuHj0YRPTbvQHQZ5oaGfvSEMeYX9SQsSm/P8h9RRL/YCCQI+khWdzb74cvrGzggDh36mw7Dwt64Zl7fufNPkkpi8y60F7cqpTdLqQvbt48fm79jvPnmD5qUYt1EUrJ913eP1Fs8MxaKhlGA9e4xAwPsYNdEKyFylTEkQylEAKwgpSkx1ha+8sqeaDmqRSMBsKKAnn3ItP++yfGinBM4YdpEcY44dgp1bUJgEonT+/q+94mnTg0OPpt1GN0aiPj4iy+OjzU6DB458sNbdAzdUzX3YKNDCZJaWrTwyAcfnXtpz57+hjX3hg791VcvTJZ/8eijf1aPGYocfvtHX6loc7ivd2/doBycy68+1v6QMHRi27b6OwFK2Tfe6NxAjVz70cfj+xuN5+DBv2ghytpMNZx+YNf3r6Ckff75Z1OdLli9X96Lu+qyr8Fnn7WiO3XOMiqvgfoK6zlpU6KUFRkT4UcfFcKF5mzZD54bPnotnSx0L0728HAPL5VGWK1GmzzPyTOtm/EeRWVRKXI+9Y5T7F3B+ONG4zl58gdOqeS4L7wwejEZuFFeXT/P5b7wu1ZsHX3uxdMNQT809MztWtPVW7Z8d/9C73/o0DNfnZysNQI0HHr9mS2U6LB3+/cbst7jQlSx6mvJy5caSWmUhIe7xu+LY8V29D39ZqMx4a4wYafJCgeeTduNedxOCGvnwDxCWBjK6ILWehygOfyNH6u9vXsx6PC6hlBcFwndaDLx4LBpE7CxsSpNpappIWQbB5pThNpEaWRjKCg+NTE6ehuyly45/+4qFuPs+zacVBzjHXeU2t65M3thoYTQt9/+q16t48ne3qevsA7MHc/hN//H1+xS8PO760toOHTomTU6Nl/ctuNPX230HkkY5u7sA4bz0zt2fP9so3Z4lpmYOJd9eHFrw5JMaQvNKy4Mra0cIbKdamjGgFhFoEIIGWclPRl4bDvSowAABHZJREFUfuz7scKUq+sN4rnj/EQBPffBKLmHhjoZxiO3Q42XQTUD0y0GmG/AYLhwoAgtShkW2tvXTi2WLHkVoF606VJO7GguQxVqsQPS4OB/WwtD3mijHQh3jcmzrH3rru9dZuedP8hpi9Jdainhldcj5ua1f/gvvmlxckzTVkJVFhmewMgAtF0wcVggPivn81yPjBRUX1//ZfV0Fp3wFWzwqQF6/qEF449npbeU5x2fp3xlm2YioYlQbROJbFmqKkAXKU0XPY9VFgPTCs7TsrtCVYAsvNsksdfXaUdazrjJyy//11Srx5tqwHKOVllFdYoltcF0jVlsUoVQ5M1euVy2NUrh++8fvciUfWPEZ98ogJ4/8clHngV4HF9gGYC0k3F8I6FJ6TiNZRqwciZwCJTQFZuxkqywKm93gpsB6MtB2krfg06NlKqmwQqapOZZxlWGGuIkBDXEREKQMidxyUTOFDRBEEVTxvc71alTP9d79jx3PVTCa37FGxXQV7zYrIoyNhYleXgAp7nvZ1xRZhkjI59yK60NcQhWUTXCaMUiznSNEV5RFqlCgQb+uo7wk1RdrvnrXGMHScyxN+zErU0uFyatQGa0YVjY0rMsYimVsDJJzlhNga5QQ8oR9SpekUXljK2nM8yH9YEDsGSK5Gsc8jXfftMAut6bIsj37wfa3t5Dx8aGqeM0ET0uuNvEHJAyFXOesplOCQkeWMTSMVDGkITfKCGMIBYNCdCQhjKMTBw2p3PhhBwTq4MWcaTSIW8gNeDS6/826bfKsQo8dVJ22QjXAeWCIB6zmau1dLDET1JsHBErAcsdxribMQFVlSJVpdxarVaNfZ/p30renB4e3nMx4/yT5xC8ZiTPdHBTA7rRJMwC3fc7yaxEd5xJki4rqm1uFWvCtV3qcJs4IIRHKLeV1vYsCJArmRnbSJCQ1AkkRimszQlEEvxnEUmwiA7higqtmKeUlKAZxW6kkQK069pGK9wp7EsWFcpiQhkyvqYgFgbZBajgLuXcUMxWsgxlERjOOWNGIJ0uHo4NZwwrx2IeLWXIWwdKI4W5wWrhybiMEagiMGoiiQsUWMiJFeqoFkOYE3Fr1SBog6DFtLc7+tQpBG5ClVCX12OlwPVp9POZBPRCE9nfD7Sn50mSz28iCHjPGyX26RYy4vkEQW9PTBG001KqeFrZjPLA0sRwF1weUmEh6GJCLW4UwxxtbRSjlFOUhsi1jNRdWHNWEk14YsqazvKevTDLO/nZ6KSeMVLhYggmIUxRonFBaGJsSalSMS4eQ6SjtQiRQloq0ewTWSuHird/QcLoKMStTSaKcgY5PiqVgunu7jQI2CefHL5IC9CY2+PTANsn8cx/cYC+ikm9mOjaT/78zwGee66H5PPIqYF8Gp3k1KlRsmkTwOnTLWQ9AIx4hZl5XAfO+OT0z6sXedKMQx153gFOT98StBjMTVq3rmBOnABAcJbL0+Qz+Pd/qSC9im/2W6KZq7np87afz8CNOgOfS+gb9ct8Pq5lzcD/B6kPVvCV/7fcAAAAAElFTkSuQmCC",dZ="data:image/png;base64,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XRun/+GNayJIJobOMISwUcGF5RCH9oYAhFKauXAjEhCMleO+7cFNpx0AlvYyvXIBRFyUq8i2R3I33Mn53HEHZkV5ng4xGGcBT8IYr6AEUoPETZUcA5ljtag9Ov/r2Y+/4/OvTixOAl+87sIbe7HfelxYXW1FBKp9wUB7apzyXuwBwh4FV2qYgHextBgiJBY/UW0+t7iliJUG4KH2VMLgeYZm/CCPadgCDH2j304OvXUjvvH8hffzspfQnn9tMLzxxPq1+YTGt3nEkpdvn09pRpt1aaHFMh60a630I9RILO858YIywoshiCzMdC+CsHZtl/nou/eZpGshnnkkLt7dT7dlR+uZTCPHdt6WVJgZPDaG3p4H0pgsskFu2k4bcVVRrHJlDzHMzjZgYiKL6c+U6DWgv5pKxiUqPFmkVuOny8xiI5YvOuF3xEe5P5tDVMFV4JFOL6HgwWH7vQBeBRlT5ErlDmEt81TACtQh8VjgRcMYW1dwoYdItDm66SM6POO2xOvCiOfeq5y/3voVh+y9moJvzeyANfc/7z5989oXuH6fWwl2ZaIiMwlVUB+H41cj2uUO6mCuMBtY20ilWAx9YYbm5uc2iYT8to+nuvHchnTjKKh0Mmd43kYuWxSNrboQZARAGGQR9gxmhQdpGba+mpfTHn11Pf/DHmGNzLGKwgY9MWNvGfxurdLOu9g2Zk0ZZEjWPuLWQyA009YCB6fpqN22cZUXvhU56fauX/pOvmk/najPpNhpEi5kO60zTp0GaaHo0jpC1KDczK6XMEJ1fJKCJ8urL+QuN9NEnLmH2NJmiRZ8z/Vdzotu6Rqs5vehl8rpajv+89zo8gBmfBS8v+Ss8xmWXUwYRBHg3bhKfw1xJ1ZfjYoISL0WglzFf0sV/EIVXPGAJcLdv6QFkt7ISAc5h0OnOMD2x2UmfU1mtoFCacCmiM0wARj4Z9/iZXrnW6H3gx9/z9Ht/PD1cWlxEv5wf6+iG3YtPb70xtefuSrOwKbrxqaRBf2ZQLhEwG3T/qxvpPffSnd+xnG5T28HirfYmAt9Iz47cNrRA+a8mQ3RqO+9WZTCbhz75DtG8zmD0fFcL7bmkIGNDpzWeuUUjOoswHsH+RagHd8yljeUmgzxyQlMOqYT+hY2ULqBdzlCZV6C7O5NGp2ppiYa32e9FR6K0YgxF3lISReTZCreO9nZQCsH3znbT3fcMU4syt9h81UCgFep6CAOzLyDwEllMAzrNF104d7RYEa7Io4RPZRi0IGhGFTctd0EecREdQDbESRlMkzsJcES8tORCFZSSlJ0hCr0OPOG1dvDAtwu9+fRvL6+nX35mM20usu7aZBp3BP/HaSLhzh9MvtGw9oaf/5OHT/74V6Tnd0a+9KerJekauEad2lelZbQec7dXEyszZAo3axztN7P6QnrfgyvpP7i3n25je1Cd1bshU2Bqya5d8BAhYv+Faco8tMpdFOGo8Ag3HgGWwUME2nhNUnff9fF0nOKwK1f0u9zdv9Dhvo50v4jgnmb/yG3zaXhsLnU3EOLzNKiL9hzArAFrOtS3vSGyzDhWYTMXwrgRm51FxCmTeQOTMNmNp+xI06930zxsuuPOZVaCrXYucGatbGK0OFegIwOnLoUZKeAhBMZVmcWzaSBuwhn8VXwlhMIXMygompAW+Rkmfssij2NYIw3VNY3aMuvUWdkVWnyyHHFLDep42GHrAvL7H8+2MOFS+l+fPpe6K0s52bV+ozJbt29dSm8E7Esj0P208GDsw5hU8dUkhwTAic3N9LUnU/r2e+j1FzdYtFCragfLVExwdd82QgpoTM1VTB7zUMwKMQGmk+Hhpy2599nZCztF9zzT0nOlNRBOEUQlmxAOK+AXuS5TlXUEHFMlMRBMW9ydH23hn8W/jEDMD9Nck/0f2L+uTDr5NrDCI/Pqjv0temmp2wKgxX0f2VV3It3kVGvX0my/T6+QyVMk88Ym8BepCGRVcho7BMaD5stOZ8FwClPljecIyPiLUpgO108RoJdE3nNkvvtQAiJc5NOuRO4KB5fyGOVhnr/RZjW1M0rfeeds+qPVrfQhFr7SDIrK8pi5bi9UtXqNPvQBYn8nYG7CD7neuBvVGyuxaw4beOyk12tMcK7kGoOxd957hLneFoMzBCvUmjfEQ0FAMKw6BVLx0YnCMO8qSJMozKEp8FsnbrJ3cOjlwnYEAh8aGns1eg8FTAReCrsDOmtgoECbA3BO0mAKxIBGA3txlJbbnXQErfN81pdiDVpInYUYVJrBmdqIrn4IrATLgMiamQ4bgltTtftDPvnJGpFnEVGWIKeq9Nz1F5Q7cVah+WbULieNUyTsiJ2OK0nLPVY0d0Dnh9zjKLK7Xe61NDjkpJm6UtuaoywM+L+MOf8PfRb5YBwRzNudvDxbmVTwqN495pzUzXI3LNA/T/bU5EoIkAKpG3MlP2bNSBzEHkM7PXy8gXHh+3Ws3FHA6Ob4GbGnwoGdq3nRDRY8FZpycxAow62Q0Jc2Ah6Uzx40aG5osCrauR8kbwejTNeFVIkoJEnWC8NN00RhYtCHYYtQ42fmxDRvOjGX7j8ykz5zcRvBE3hvp66W5Nykqic1bTSknEaTRA0er4BlGwWciIEa30sM/MfArGQTgi1moqb8JfqVuef8duO+Xv5BfyQq6end2Ix03+wMLHYTL7yNMkxhlkfyQmH2YgzU2Fg9lj74RC29610EvHx3wwJ95nHYP8tIzkqTGImVwCBjyh/xKEAwL7BhvkklDtTQAWq7duRdZwaBix7JoYP4RKPY6YTK3afaQE2gaUH5CbdvCFiEJYQd02NmDqzN9TTaZOrIKSQhgmEIZTDQIPyqTl1Rs6pO45X0fisdwwSZcd+2ghegUgvhyrZhlNlgTZ7s8nPkBZjL5zpLo1dhdnaEtzq4RIKLtJbPB35It9NVAaSNvHdG5qdx/ntFHjBst9BVyffNu6pzbX5drjmLwQCaQe8SdV5zk1pmBRHClYvA0GpVpA1+6LTIzXMVlw+A0EWCiudBdCHcgip1SiV3hVLnFJmypAYtxVKOmLTBthQqh5oi61p8pgfGK6PTxEDmgHGqKBYfIw5hR0vfju37lodZ3p6jebDPIrSw9rHdXqDnR8Zqt2pmqJX5T5hFiXcNEwsousuEPbbWYaxIPjbMiraInPoptEIC9OWuN/z+cMUUJPxQQzdozFnbFQQCCUN5Q6rzc4md5BkEErz7PoG8GT75v9fftXGXWpO6XNM5hPLCOymWD3HFUymDYcGgXKyIo55uojtg60BAlM6oiCkqxnVSCKeYeMfBgIYdiYyMw9AyA7ocn/vRisUtgAKtMOnNeyYwaxFoptrIO2xq4hw+OUOisl1iiujtxxbSwluOpCefv5IuvLiV+h2FmeKpGYOJpIiBWPUcCEBM93j0RD2949Wz2PvD9CSbrRq+4yh+rkoH48vOEoJ5l1PjWpHili7KxV3lX2fj9UAieQE4mLIrZX40p4lTAe+tOHfCTVJ8qX3SZZ3RuK13Cx/CupteuVeFlShYdjPdwQRaKY3+V2mYdlKXCxQ1GaP1QnGGM6VXxFfikgsfgZkJoZmzNjZUDZaFWW3Gs5uZEGr3PfvstiS7PhvL3GAtvWVpNr32oZV05u5BevZSj20DvXSx2w3tHi8fOEAjVZN9zfNMM80eXU4nl9vpvpVmOsWLf40Bc6MQOc8+3jpCaFtQsIJuCSpuumhTkZNgfXk7a04NkG/plMoMPBPognb/O7CRz0HS7I/tlYix19IkHMZKKDlIb5BbaOauoE+XI/w3l5qDCXRQAxXRAncTIuHEKQFqWrrsomVC4+TYqpzYxKgv3+yI4toWwClaL4W13Ado65jRMBy48ahcAFwkDTElPaZDnRdiTzA4OcIiiYK/mVhYAVRNqeOtIBQ1b7Nwb9d9vxELpDtIm9gyjhN9e8ipNdb3oulqB+eU3EuBqrzFl73SUpUlfBpP+S9TmDEIEy0mHjP94tDtbxYDF5HT8AVfTvsX4VfqVDAje6MxeRXNhV/lbvy4TNPlevklOZhAM5DLFVIIHVM+RYlxVxMp/XbBCqDxdssO9kLYnPkQNy4sARpEzC/DgNDMCFW2q0lHGEMJeFZ18wiZb2fbgGIPBZnUSOQrUwPCWsC7hyOWevEHLxH0WFaGGPd5hOQaQ+ZxVAKmSYa0HF65nGE2SeR1HfAmy7mFV81vVtdz5iScoKbZ6a4K2Bn9JXySsnLtS4ZdXnFjXmSJKMEv934wgb4qtzFVxEwzO4eXKalS0ImQiGiSVmHNA6RciVmo8SuUgBVhNg9xZS2NBkWYSzpjMETA6swCMEIiwE1MFAXEDt+3WWJ1Eb8NjKeAcbOSQDGtRqh55FU9YNTK1kNoZ2Nu0IU0FngrTY2NC81k3jmfvbEF5N5Rf0FDYbU6ZaJ4d9BZ+LAjUJbg/sIItCWYItAKlEDDLJ1X5RQK52WViYj2hxkGNw15NoRVnTtpwhU6yhiCDHQseYMrD7pMr0ZG+MxCcP3mw4+zCgqpU4Fu+CmbaiK74HjO37Ghwh8ySn65lwQb4S6HNInNDQBJzkCEQkulYApes93bqeErFwJs3wHyYEAW7JijNmyvCjWNUV5jt+NhHPrF9lgPMYszKWFFguHwFSUUHh/4zz16oZ2A4o1UPN9ced5jV9DL4VAhloGB3X5otxJ2FV5Li/hFQ8hiabVrOBhuWrVv3t8grC5UZeyNzpwBuTzh5lhEHnK4GAFFyL3zzL8/VSh2tKFqeBIQ5yahJlLeAkkjBoPQb4PwCukPBIFDn2klu4SKPVwh0xgBdkBYc1WLyNAH/w2coh1ndHAc10kh1S8VeywilbLviUS+VAR4j/LcXIl+mSbHPtxREzkwvJ4TDCnUlrakzF/EFJ6DwAYzGs5Tj0JVK4xyQDgSBWoHfc5lI8RUsHIczmiEMJLZIJRyXDSu8E3ESm1sK2hqa5O7O0xkSJO87TfU3HXmsu1Kddrdhje18YmzJ/C4sd0u1xWQVFhQDUiG8ulq+N3p932+AUHO+dkYwULZ7Gtyv+VUYm7SIUfxQ0zMvtBEnWqkLB7K06b8I7b3ekyE8Tdi++dyUd7AWxVYYna4quxRDpgaNN5cETwYtqwgKxKhJojfQfH1H+y3SzoZTOEUEgIRJ56JW2Km4rVH59KSK4wo7BAMwvO8g8w3m0pYbDi7Go8VKIh8G/cUPpMwFDiVZo6ur5iv2zoVajfTOEh0i2cdbR3FJU2ARfqM2QMZu+A4y7nWZzZ6LOvvZKO4zSf2MUtDpgbBwEdEwWd5QXO1C9vGCC8RiNFLt1eCHOOvUD1a4jrlWWP2pufsDXxcmGmleRrnLLxqspKnaeaWBAwuEsFk5t4f226kf3d5Nb37yFx6aNZ3foCljmwG18415xsHZVqgGPyZotIE4AinOWJZfLTOAunL7LUy5vHvzpoYB+/jkQCvIpBXgREZtO+Q/KugcoBiDFyWzgiq8RbJHLx9eL6Z3sRReOzWqPYVIezyJvLNg0ETyKc8G+JTcEdPzEtXkQgRQFUeCrQofFlAl29oXARabawqtqJFlQeF5AVQrk5+jUdjOQPYZ8V2ZWUxndu8wAs4pvNPATH5pJKyYBMSfDFXnECZUXpu0JlIJF6BYJ908IpCrrGl8/lNTpPiFXa2pac2c+un6INO0VDvbM+kRfaR1xFklqtYSOqnx3nN/b/7xEb6c+6PnmqlHz/ZTg/T/XXqvAPIolCLnYvXylViQv/L4KinfciL4KocoXGuh/VaeK6OO5hAR3oJsMKq1ncVTuIVHIqvLNm+/dvLBQNk01io2RLK4xb7mVe30B28MRJyLJ5AlhtKmT0JtkSc2KUruxCekHa0EMwN9FU2pqlmCENoTYE8V9s5YyhIiMIpJIJo4oo+G0RRMF08q7wxo3lk38L2uShvNBrznnJRb9VzMYGy1jVwQvdUkn28NwZbx96aRRseRcteZrFI02yTQj876KZLkHqR/eOvnh8xX0827IU53ZpJP/rn2+kT6xzQzo6532c7wM80ttN/c2Ih3cUGrhjXWKaKD3sRJ2UaN3Iwa+i9oHaFyaadrNoFcPDHlyDQe2VCccKUqChUKkPeec7/eYCHJnOlT95kAXWlT62XK8owl4k/fWU9rXbbLGkjQODJ8Oab8Weh0HzIYqd+zHGZtowNvoo3Hmg6CiOdqI9uGNI5rxzpwn6kP0DyYkiKcDog1SRwgaXkG3PXPJnvFm9cuNWaJcfYMoIvnLSZk3mHcCNYIfRBhzJBpviLWWQ+ERW05JxkXQ6bCqzKrlCJdz8XeUN5k8Y2z3WKV83m2KqyxhkkW/D2HLsg16Gps+mIhTNGVgbpf3hqLX34HED9FQhgb8WFbvo37D5cZuf+3z86G+f/ZcpyvrK1omysFKxvY8ekCRAVFxw1piqUlAuJ6DuSlx830R1coM1fevZ0OyM0mUI770F0QEa8HXRG6oSZ3m6rnT7FGQ4uVPcULBqIEDJIgclzzzQFkGi2eL+ek9FWtnZz6GECsjYxVK0tQOhaGI0ok6Fz1jJIW1hTpIHge96H534sAXNyZpYVR0SThmolK4h2zLlHEuvVrgh8qcic+9Vwe4fsjXMa1tx9G2YWxdFlf+6xNkKL3FxkzfQ8+8EHhmPzn6PRNnj54CleW/u1z/IGT4xwcwniuIFzo/QbFy+l73rk9vQ2Xn7wLZ5c8VET01lmP3naG+aGWugsaa4Gf6VCDibQpSxxh9g9BHUvQkPjAF6S6wstqdTA4KwwFRqfGZ9gny5gR3dhUI2DZFxY0bkMXual4xkmGpM1tCH7u5qDPOh1919MzyHACp/v+sXbI8RpR9tj+PqV04VeeeBIDnQVKmRPjvXoMF+bsmFh5QeeXNmKPTQHueLIdGeq9FvBukl46Z1y+LV+S9rdMJWGJ1hc0qzJNdvgfBHPltvaSotz86m5PJtqnX7qcW0g0GvtUbrAPoD/nTfmewwGEy8Gx34T30FjsLvAy8zfeFczHeHMk54zPW6qqei37CHfhRQfpgImDVqa96F7HCXem+cOJtDmbV1Ys1OVEn5tgzHx+ncSarJSjTLcui53oiJW23bAtk+ZN8u0UX7XLi+RC2HnVZbE1XShPSEmb9OQqSWPINAk4ahjoBBegp29aNCI6I0RXMJQ7zYuB0gKvXy2xyiyGEvj5kyAAjPH4GjZPLEtN7A/zdsjyHS2O9PbzJyKzLRmXih2llcnPcLdDBd0ig/a7K3kkTZzl6vGBqzhFpu0tjZ4UX82HV3g+EkE+Tne0l4fbqZnrzTT6bMwxV2JUtTD7OCcwq+/r57e9+YT6Y0cibvI7kPelIvtvmpgtxBYL314luvDZ/hOWJyvrXaiJwuWKORe+eHq4pJmt5xcDXSwkIMJ9DVxS5wXzgIVicgh2Twg2uL5K1PCFgy43OIVDpl0nJp/kB1wS3Cvz5keMRdNuAfGuH1U5oWmBj7b0VYm15iEKYEGf8xYqKEVaKTafLUw1Mjy30UVYeIkJ6kTrsKVBVrC1b0eZaDWRo8j0M+u9dMXtjuYIDRCDhinLwEuV3rsCbGRR0MXGfj51ZV7fnqJvzRK+T2CFgXY+eNtCsTkBm/y5BchevKK86n7293URbDbs3PpyAwnqvKVrrO89/eh03xwos9HKXiPMrY1MmX37V+xkv7WQwucBsFXDzY3ONQSbQ/B88Ezz+S2fJOGby+VWSUtzs/LA2sRlyOy39/dBfc5NP8E5OX6bqJAH4wUhbK0Xgdfls0qb6Ep7+T9tNfx4vAC+5yHqO2ABSZ221FZ2QSpbGgSZpMDD8wOoUZnZidHidW8cBYCKVWQi0Drt+GFQOMt+VB3JJM+Gx1+nBQ6hrcqrbQh3fDcynI6ff5FtCGxZhVwuYJN4Z/62agKjSA4G/REwHPYQX6DcBIwxoDAK/BsnSBfaYuXkL3DLI98iIZI2fsslmytXkn9GQRyjmPR6sfTEx1eUR0h0J6VdvFC+stvmEt//X6OK95YS1c4t3AeOlHoGFUMp1UI8ooGNAPtM8ykuDcml07aAWQsUXoh+7lcajlQ6NX/yrqDC3QIolW0hwtpsmDGZ2Gw2rImJgTmG6OQWNkx4g80igtCR6QzEQ5Qepyu40lfCnvGpoxlgVUrq0YLKcbrYpVKHEbzbG4hNqEwQKbgRVymKc9aZO1sdypVuuz3sUKEVwGMxGB04aJHmzmPvTnQTqJlhHkRuSJMwCtLXqax/GLPDp/lsL53uQI1gd0FwGPMq4NNXmwzg3EJ7bsOI0Yt+g4SthFeF0mcWWF3N2eXEKegkV+TxRWPHkhbM+mTz6ylL3zyDIfDnEhptZNuRyO/+747sbs304D359zP4ndwLLYCzVuW5G5teFDPiNNUML+IjF2MwOa6gL/jSsm8jIJGa+dZZNPOZwm7ie7gAm3mFa170yHhOWYX+RFoGUryif6i3glVr3pq2Cc50O/MJqtbmAe5c8tpYlAIpLoyN4ZJDiH2wUxjqUB55R3o4HZIFxkYAVw0MmKzs6FUGj/gpQc4/sfERqXEVEDU0cZwLV3u8QVcTkHdMbMhDaTLja+UtMombiLNbnesAhlud0QV7E2Kjd7C5DnHIZYXmY5rIsx+0cty2e3XGAxaTmHtfZwjlxM2hgXsuhnORPnGU3Pp1X/5jtRbaHMk22w6CcypRVJwFqEbjBwMx7Fn5kmGYCRfGjL4Owi1Jpc5LNJgMtmkBa7ILuCVM7YUKEOWmFfi/tIEej9KogUiltqN4d+7ABbPqTZnhWVHKbI2dJOVuA1G5X/KuR51zsPzM2zhhEe7dPj8RINBTE5llU2ceESWWR0TerA8V2wICz+xpI1WyL0GGkcBhArpUPNbcfuZA85aoItiMNpHS88ur0TDmtUWigyiWUlF1WBKRUbQ1A9EBn8ENMcbdyEwlP8C2vPpbifmWPiueOxDscdxys6XGKJHqdDGEnxkWefLBf203uikk8yC3MN5dEO6xT7HOPQ9hUpe2AAQ6FAl4PMVUmm0vlxV1NyzsdoryMMl94IQJw/dQRjliu7HwP3KL3zl5N1NdAcX6CB+LwqmC6B/X8C9EsMsj1HkjRF4cIwt+XMLDLRkLMxT2BS8OCWJE/hjsAOsI+292GEvFqnAZQHjzDnICUGnwrSpY78GFQKKsTbPA1VyI92EenPX+Zt7DCuuSz2G7QwBDsqigUTjKLDer+0meUyqPkSAiBDcPZKTFYqgkZ7rbKXnWQVcAND55rJj0HP14gVk+GZzFz6QiTgG6xoQLLKwCrtNpPLoyEDFEa9I5ARVaQsCMdFYK4G1LjRpNqCkS1oXHAfgFkrBJyN/viTuYAKtsgwGcQ/OT9NcFSKrEOB8vgpoOkH2RzKYTwU42ND51VeXbmtM+ua5Z5np5aGLA89fhKGa2nk0n4XavHL6sOMCEw0COtwQ5D2m6QBTKSrQCjN1EuGmtEuuMETq/ENTE4fairTa+bHtlOrTfHZwaE/jn/n7y4cuch4TkqbwZW+Gxi+MjgC9skAWVqy4SrBHtNbzbC46w1zagAWoPr2W6ZyxUdl54qqHu5ajxnIjzvHOpetsltr5QTW8cdpSZSLfZInldbJU86VwJAoGUUKIxbrgTFbelOd1N+A1H20YvvaW6x6gG3CaQjfTHUygr5tzqRUBlf5ruKg94qMGZaYzHBxz2+CkfLrEU5xOOYNdF5Z1CDMamvgh88AmjUMbqcG8XTELmozkPwTOihAuNGfJhki1txuO4tBEYHXevBTYKsjgyoEp8DIAIm0IDj/bcO4cA7ILHUXDb7UITmoJYNaheooGkJ8iaPwjuNfBqrPGNFojfZ7z5C6DVBvXmQ0FLI544B70B7365R6ChnJw8cgFo5iG9A4gQTjibMiE5Rck4I3BFgMCg07hhQnsmeLc4Nj8BCjHosR0Xm4OJhZG5Ka+hrtO9DVS7hv1MgR6mprgTM7E4ODWdarKJMIF5yg6Xiumw5ep7mE7wTsXZ6LrzAKrdhYmC2kwiueYN9YsIV1mYRbojFcokPIfuElrpcX8sMjQLOYeuAKSZ4MjbHKPx0grKHTg7zNiqvFG7aXtevrAGbpv+m1tyzxnXSHY4wb6iZMGHBire6bEB1BBaxafiBz/1PlK1zA9y2IHfRhL19HBRJkscwyyvSOpOT3CST7a/Qqtwh3baWGWPaKNU6n25q9wMiG+NwN8bDEALg/ApbNAZn+8/MCRZ34ZYdy72nqtyLETdi8XmRNxHTnZK+k1wl6aQNPdOOc4cRKHU3JgaHHBkMljCZ66g6NMwhNq0RVC51K3rVXMi8ApI8VNbH6f0LvQdpS4imdhluSQ+JWUKioEcUwantw0KnxK8s5aCIHIFTiFUCjSaic2WT5u0lvEK0fkovaL8gKTzaPqHjSHqI0R5QaYBWnc5VKeoK/wNYxRMrLY4kAcOVswXWH/xUUGxnUE2hrIe1CkXhhBwSNbTRfCmRc75GsWHUoOL312o1gWZH/hO6aeyWIuGzyZx4ULJTUUk1GcBEU+mjwe06MZI2RUi5RITJRFTykH3rETnl7cLvMmuoMJtLTdiJObcua6DiAHGiHUMJAK8PzmM2ub6TG+RLsQ+eV5ivg0cdQS8DI7cyznQHhoi8zNPXM1G2dJXGnM1SeBuVKD+4F7Kil5R4UKNlVu21UXDb0GratdzkOmQqwSN7dLl/7sMv7wm97HKVesU9BUzgyLX/BdCaqoTYS5y+mofqM83tSh0Yd9r2BU+diLmFyxDZQ82xA9cSqbWqRXmHCuwsa8vpC2BFzWyOKraJgUytgxXzRDPPUrvoxM/vGsIop6iJwD37V+XKy6me5gAm3O0rk3r6tI4wXav0DySdZlfoksVx9sjwPRN9jo/4cX19AgmgVOsTlxjzakUqyrPNMTGEibc8rauarACK3I0E8iK3noyiN/dZaq6w7vrZyow0xDlSxusaQbFWPcpCyxPB/2KF+/4BzkeSrSxQZzzvVeYAtOQ/Vf7YS8OiaHFFkSIEIAtoxb7Ffu0zNYpshPQPgtFRkOWx9PmGeE5wUhG5x2Nmkobx5XBHQQJU8to2n0Ov0nxvwEjlAC0pHzcLndStAGd0Dcgykx5WqqUvzAzM8kmxLyit4PJtBR+XvRYykwDywohcrXvsBjiJ2Y1M6ZGzOcLbw0dyQq0C5dBsefaha0Cvq08ylCiC65S0nMSMDRPsLr6LvLpnV7g9awxXy3k1sIOTUdGg343Byy7owudVwbBatxuY78drjD0yEDQCvYY3OtXOngWPdoKJ5bHYIZxaJmr1m5RIZwTsoWyUiUBQvcSMuGK08cnpP3lZMvUuXHQ6PnUYD5Uw2EDQ2CrCzhoY2QlMbZK2ZjzRKTRrpUQuSvV8XhDIc5xdwyg09Cgp/CBnykc/6bhkImnl8fMyoS7SWicOQqEYbtcJQTnu2uyx0gL+HhYAJtBjuI3Z0jkYU54wLthDG52sKBi+OH6XIabnXwXU20EC/MqgJ0FDxYX2YPZP6UC8b7XGVfooQKSF4xcg7bwrpU20ZTu7uO6goAbUrP1xtwtIKH0yj8WaDFLA0QFN1xYOPZMmTavCkooSEBGwvNpEYD/sZ/Ml5QRdbit7ih+fAoiAO+gEtPD40IqqRBb3GKZOhWw/mTYjHauCyx0hhiO+ZhPFWMynlHYwClqfNSe9bMKogQWvHllhJ1NHRQnJtKNAKzCRc8itx5JHG07irOm+WSYTfRHVygr5k5xCuVsE7ao8w+4jIDsr/8Opds1x5TYcBpi7mtcwn/Pe0203dqUoAQJibtgMvI1CDTzqeoH2DtHnWSkRsM+NGmlzrd9DQvjF7hy7EhCNrt4qaWrK64DANRHIsrroCxZrNJEYj9kaQsFvGrOAUN8StAxpdDBRf7TpqF2tOVSh8LXIYytYJqqezixeh8eLzzqJB6SQhODgQ9/vBg8IT/Em96y0cErtzzk8+ZXmmOufkpWsRTSieOYLe9hI2eGO3oHCjyCWcyVSWHV+5+kwQ62FfRLDtzQfTJAP+CwxY2PBZIdimoCAvqx3rMa1i1dM9sPb2Vg8cXGMRZibIwdEMwVn9gFknlcv7qpmmXcyMHgtdXVtLa+Y20ykujeUt+qDDyzfjF4LKZmtAQMdWjcRIAcdqImQ7oDhKk3zT+jG9RrZkKI6xwKxqfgrBbciJm8jMROuDN2wyCvgzjYokNzvl4W2zwDdoUZKmRPUGTySKJXTqcI6KEGzz2V7RHww74yY+4ggcWkASRJnujIflszxBHG/MQqKzrSqFEhUbCSFkhnvYbtPu5AnsZt5sk0FPEKbTWIdywcDH24jG/aZIplVmyIOJlAk9qU48GGLKv2K+6DjfdycbJoXsKQSAAhSzPLhRbIJ4wSV/Ji88TpRm4776HaQ1f7OfAUuUVCw0KIGlML25zyqJpNUzyyLnn35xiAlfisjD7tHe6Arff3dJKh6m13bVZJcZnO/swMSDQ57B/hfXBhN4owJ49u3iECzeVwHLTgi1vvM0jHC7vD7HH44EgSIkl8GwPBQj1R0TAV/iqtFMZZcD4JY/C1KnQl+O9iQJdyKg4lHlQAsf3wj/vKqEYMcNV2aeNhoWbnt3cSi2WwOawRULDG15s2LgLV7ksyeDCig3m7cxYQXAg1Gcj/ouU1u95GxKDo4Jj6i580MF9J6YpoP28JLBcu4VnGs90Y9oPTQk3XeFXNCgUxDxHBvfP8ckHCHUF0G2scs+KdMjhaqb3kV1KiDq9ILyJQ2ModbgpgnwfMucivGqllDv3UgqoMTqTSYeD3xgmEiDLVUwxLxLaq0BzN4HzetG6eJa5u5z4bqY7mECbe6F3BxVBeRWJX8L3IL4kKVG+cCpHbPnun3Mw2EVgt3mn8FG2kHZ9vy0c4h44eTCrq1xmS9hvAIgvVgQrOPuARbZYzvPGhjBq5ahv4k0ZqSu8Fm+6V/DZNpOjc+GnTQOigyVWqL7Q3ja6HZUrFEHmzf26pgcwQ0Z7fo8xkDOFsMlUYwfBbFGOFt+OWnf+F564N59gtg1o72ZN7GmrQTHh7q8wXGc5sw9PFKhKbGS43BRltZQKawMM2x1akFvCEN6Kh4Y7Dmow0m6zscVzCu1hQ4UHksCQUZf8zNi4seNdxpvoDibQ0ue1pyuESqyt3mtvFwJElBAFnalkYYP39FxgWVlcCGZaDQqnsFkc8MgUHYn1ZSYDGY2DZyrQyo4ZrgyGgqdCsMnji7QlU+JyvrmyeQwnHVUOoVyKv8RffbcRcQXegnEqk5KAKGVrj5gCEfcoj/MZCjWvR20PeGGYCTJfLFhhL8dRJpq/wOJKn9qzkagIeBElbGVncWYoe+SBv2y0ldvSWHgfVAgX44ScfWwzIKF7q0ujtfHJfXkam7t4sgfwRWOn7HqYhfUW7y6CeAOJ982ZgZ+/5ssImbkQp21iqyv3MRXmzxndN9EdTKBfbsZy2fLBaL2yV50SmkuJVXC5RlSkYdpX6geFwGiSjVmBF9gseIivSQOfdrVwJnKZvGgaZ1JiwSBnHASYxsoxaNqpaczRtIGriszhopaaaSeGjNhfNWLGCZ7ARY+hMEkvlR4vuUTJpnFM/IGjNcu3XprpKd6SepJjkAZM/ywxx7XIV3w7M3OspnZBzWelo4z90NCzChlZdqBa29c/KzhzhPxl5NhloTdEuFgOt7AIeMPeBXp9zKuGuTzyUFNDrjsbtQCPlnkrvL7USi8OOvGW/klenfumN83xWhiLQLTJyx5H4WokLyMMePGgy6LQlpf7r2mU2zMEvutd02weU/hSPK+MQEeNUPBg6vXIymXxd1wqVZ0XTCkqTZQKYNyN0wkSqbLQC1uixDXJv4In0MpVKRmSLyq2EkDT5NASx+MOIQiASJeJrfDm4PGvNJUGOA6c8pS8ffvcRr3t18IYrLap6G2+tbjNYTBPMdf8J2e202k2QF2uL0a7WEAIWle22T6KJoS3fo1uM0ZovBzrngqO7Gojda4UOrBtgSuWj3hWiYTmhQ7Lb5Mt5VatxDw1ZXXPs+FyQKUSVeETzBenFOts1B1OYrr7+CKfdOdz0pzG5KdQ754bph9+6Gg0QBuJ54DYmG3IkBtafBNauxzUs0nY0Xbjr3z8Uu84X014dms4fAw6/+CRY3O8G/bS3MEE2gEExOUavUaGdC8xLypfruXCRqQ7Az6EAC5nVuaEsk7zQzcJV2hzfN6XnAcpGdZKyBrEVbUMlVOGsIsn8lSIc2VZPwV37nKrVFX4XgIdBFWVHv6pHxWyZZHusPsz+YFGr4IUPRTxWaDQiLDV/d8DNPBqYyZ96NJG+sjGkO57PrV5/aSkccHHwWwbrTg/00uf5ziCo405XoNy4OcEqP2Kb6xQBhaOPJl1Dq0tnxROw6XNWRL9amxxEx3V2iU8n71dBRBnabSsTSl2n20QPTYyrfBdmnleQfNFgRprBi3NOmhropmbHl5iGs0maIneEt7zrTLOXaHMrDPklcXavbSFe/1MiF8kG4x6z/3embVfPrK09D+9dTF2p4Lnxt3BBNryXMtNVbKV5gX9cc/j592Js/AIBE8EpWImmYgull6rZLm7K2kU5GAZaXNGYbpE7QATQRUBPFjhirqu0FYwebeSpp3QprZaihuDTJWzxCELIUyxNoMQ2UgLvHjiITw5hcI85Lgt7X63Xq6hTR/H/6GLV3gbG71anwv7V7s/kvmD0GcBrKdjmB2fWuulc6i9LqLhAouS5yzHjO9iYmu7IOQJSmFfw62mfACNRx1Y8T57146W650QaH1oW/zySRscmYSfirU4GYhq5vgiLkviv/sspg/ftNGMWqKX0X5v0Qg9AFPzxzzmZlgkY3bJBrQAUj4dy6tbhIPbM1jySwqWE9OxPrprdmHx713p9t/7O+e73/dNt80/BvgNu4MJtGiDu3vhL9VX3aPCYAyPKvZwFELueCh5CwbVGRGHVqx0i6gt1jgLcKg6CmaZXIRSpgefK9RZBeauPuBJmwXdOiDEwDHi7A3Zr/LLuWTtk0FtBFr4wApoYvEUN8ZV6IVyyhV7K4CtMbj14Jr4IjnpFURxZFzuA4E+NFefWn+eGYx/yQ7DD11BCBoLCEOLyUttWVJ4Ich22w1s0dgnQmOZRZufQOifJ90W6Zlq4IIjEFwnoZfcWCTsCMLta1JYMsFftbBmieZI0EUe8naDK+aVeN6UVtLMUuZAi8T6LiFNJeaefXu8iVY9zaGa55hqeZr8bCg2OnNJfQ4Ksl7Jp9GkyZkRdc+aWXqQ6LexH+VNC/PpVYu1dIQDcerY4AMP7iFJh/NA6u35L+OE1//3N54/923feueJT4j6RtzBBXpPrFa0FFsYndpp0kmVGGMzRNZKxxqz6dMX1tL8AlM3oOgj+dHlMRiKJV3xqLrtsmBSCLvPJdyscMGrcavhmYoJqMiMHzUKcF6GZxeRGT+huTO2KtxklCs4hJEYG47phsz1gboqhCEKKLShmRzBWt2xesbLq3efWkA4qSDylj5dmS7UwLLL77QW0+9zVsP7z3fSh2or6Th28yIvBqsFnaXhJDoqGoqo5RFXjbl5N0F50pGbql7N1283oenyuOwQB4EKngNq6bsCunVsdP25cSJgNAYnyxwkhwDjt8H4srgKxjLGG4LiIJ/yRzXEggs2QwxOe7YQ6HSewvQ8xLM9Q+JcD3mjc7bJVWC1/G1+jBhKPoHgP3FllG5f30qvX+yn13Ow0DJTkpGHxdjeTq3F2XvaM4u/8LvPrX3zN9y1dDmQXefnYAItzRXde+O1knHRkrOQaEe6H8MnK1Zm08fB8O300NEFmMugiL3PNZgsrCywmw1MMkSjVJGSH/qAUUCzGOf8/DW4OOqAio8kVRCCZ7ICsONeQss9N0QTxEyLqcIMQlDMFmfvHseGmTE1EOfeaRdSBt3c/GJ69RLHtHDcltikLWjE06BX6qMx/4yy/cYLq+lfrXFgTW05Tgl1FdNNWe6cy460ZBqrrLJAgYY3bqxqcObfEsL84JA35Dm+qxvfoyOdH/hUpco2yPEza4NQjzZUA7F/KUBHilQOoSAIlEHgtu6iBRsvIxVw/6IhMSPlxDPmxhV6livBZJ5Nq/MWdYMnKsSAgqee7qAu74IGp/ys1ivw4HngPre2lf6sU0vfcPJEup2TbWa2WViDB/0rm2l+ceHto1b3B0H0j7iu6w4m0LToMQP2RA3x4cq9FMxiyRx5LFNhEIw/hg56hJWv4dClAAQG5mqiOM3jy7F+aDOY6vZFk1N4tVzscxBfhTPaCE/Km37ZGNHeDSAmRuwljeHFBTAPpqNisjbK8iCII3v/NF88RqyBMDolpr+ucUmlhPmqzQyd9k11GkCjzxdp8TuTYVerQDQ8JLHeTv8erfx/X+il0z0WS+ozaYWytkbqOfuh4JRZ4ypqwBtsMyPwaLIpNx20OQugzHwwT81HRtMKencGo5rBGggjX4U6riK44PR/cvlsAPDywktGmqENq4R5zO46eGcRGe0VtiZg/AIGAAIaTJC+wGMiXa5r78cxWe4kU23qnsTDL0lcwhjaqi/zBV9Whp/vpq+8YzbdJ0mYH+7i622x5Xc4/J5/+bkXfu6v3n/yQsa7/+/BBHqMhxxDcxJQGFWeqwKFGEC42st37fK3PHJB49MFpHOmITExnxWgKYSl+Ai0fFKYDdMrqMpBlrl/IbvqXm4hfDnGlcAs3DI1u6xQxCDDMq7xN1IqHMZW3sgr/1hMQmEytkBuUOx48muzfmRI86iB0MZ8OL9x8COInGXgyIs0aDdTZ3YmfXqjlv6f85vpE2ijjcZ8WqawR6DZ48+0P6MxkM10pYxoBGFywMswEShOj4K5QHQOjXpxi3caaRzpM7yuyqEz6W5OQloh8+NgYbAWguYKiPVk4WSHdwspU4P5+HWljI7wbAUKsSbQBkJ14QXqA/wP3e2qCoUi3Dd0ZaoEiz+Uh4hwyoO4aYyLmEgnibf+/J76FpkPBn0Gw3lg2NAMYTX0U8xVN/vr6Z5XZU66ZN+n0dRb9Xt787NfC9ZfD9zX+Jnm3TXAqqjSEmXGgZ1c1MlEKl3OcndWQ82rKaJIZ+1gBnzUvEcAAD/VSURBVMDHvzA5mWzOrgqImilh3vPgCzYGn73L50AEg6MB+YgTl1EYDD6OnTmP88mJgbBijPHKv9kXjzt/LEuUT1MLrYxd+AJjhd9abaR/dn41vYCdfA98dJAWjZ47cx08aI7kEM+Mm+SUWWJZ1OGeKrqJMDN+TBfadN2cEJqOIFyvWfZo/pRexNR8huYxjzCuzCPUCCaNLgoFfCzv+Wyx1R56FGwzAE0Y0q70mZtTacwXh0Y+zorJ3Zzwzy2mPQpOBbqkD6qrvAAL3OThQs+ZKBumDlrf80xi/wf8mQXKE2BnadS+/fPYejfdj9Q/vAz9tgBxzjfSenfwCA83WaDBeE1npVs4mZUlcwe4wXbq5VdwK1+5iXlr4nIsIHgstM74kkbffi7DWXfO14aOGYNGYwk8VVDljzodQ2VP9A54i1hpL2flU5kkZOQysO07Fm8q+kztgNQ9GLHPoj6bPsPuoX9+di39a2RsjdpbZBhWVyNFA8uN1eTm6djBwpaeKPw2EOJ7wK/BvTWAryDQHe1iNa+CpdAeU/gc6nH4IjMP6TJCyUeDEgPU0KYOADQTzEN/sBY4maZcgzP8zvtpVrgp/Qj3ZSQYOQ77QGZJjD9qX4nWpLHOrTDri1vgFm+uRAb7tXSJp2BiBPNDudwzs2E49yvAHIWQcwxXP3Clm16zyMwML2KIuck+9vb28G5Br+eg+ABOYqZdVY4ohIX0OX5s6j7AACsOv2ZHLHrATO1JRVfx0G4VVoGWNzFaDmaYPBDm8IDiJ5zhu4kBS+AyBs1ItLzPOlueacZM0mQfYVVeNq7iwryIB6D4j7lx7k6jGWcSFyu0kZ2x8NkjtSxRqyr6pq/31zl0HKn/WmY83sbcrEJpL6EJsYV5sE136rhrm662wxTD+ibai/Qx8IJ4BVvtvUkYEwJodV5ttat3jjkGfxAp3XUE1SOnZiwxArxItR7Hq+nQRxodrJJ3wMqDwocikAqxkqBRG+eI4XdTiP5gIppfo0gcM85Imb9piJcpwoTjmf98VYHafoW5BkU8P5WyCpr84d9x0yKrpecxzS4jxMfB7ylZHtdwLDHYugF3cIGWIDLPhEzlEIRKsZcA5WY1Q6yCgEcw4w2b6OMMb5wClstagEtcec4YxnmILlwJ9yH7YXn2i0KNAuJpqJBEwg2r5NoE0CnN2XaPnoNI7zZNlZSx47dFfAaBh+SYnzLURUA6zAt3AV7A5HgQaYm0wEXDRiBGCHsmxolCtRXpoNMBXxn0qbG3GRh7ls0W0r1JJW920NQU5QVs0As0gmeQ5U32j2+jJPoIeY/laCY98pywqkA72FZTqgZvCKoaWS3vXcJDeQSjeNAZWMVhDsQoNASYYPLK9jHxCrcVa1J/CIqrUi4RHnGEFyE2sPirxuV89zJpWpTX7NZp5Cvkp4ILy4OxxI24G4PajakQKPHXdAJEVXIvico989BZi+xkYGGjVUxhiHPKSuenI4rL2n2Cx3CxRJr4hcm7XPBvV7BCqhNfUSI+C+bA1YkuQcZwVj4MjnluvZGXgkzvgkCzhJtepPvfxFZ10SjwkiZMVshVZppk5NWg1mpUXizBg0c3BybLbKa+jRKNyUEhcXlLK8vePLh5yJchNtGOm6PttAE+zZA4Go1GsIlCPQe71sC3zRs62q0dhHCTOd8uLcdB5SZqf5sXHkyzyVkfhm+x7O7LtzF7Ya6SpSYeCydhNKQQ6AatJtS6GrvARALCc3mC8MpL4ASPlaGUVnHyHhmOhqwV5YvRG+yJH7EaWhMOrY1ZL8h13cEE2oKVwhXU088VgVZI/FE3wsd0WKUlYh46WqUCEwCVwJTEFAgGhbCYVhBcdQu/c9HTzxEYMNkMGHPKCCsIp627pwtaiZ9kn5UVFGSda95VWssaeaOtSSfmYnKIfg0T4qPPX07r1MoMgjAXFZ1J0AyaaWA0IN0coh8LK3GwInjaaPN48QDccYgkwuz8vHl4HG6eDUKQwLcloUwVuq9Dvs6xItdCWPmuTzwrJDFzg8kT5+6x7m2DiFIcWSJaRaHMuqdDQWJqDAHyOgOz12gQHWdLcML0mE7rAKf4bnW2WagZpXN0Q2uYPpe1j9g6GtOEIW+IU6kw7/JLbc4tXCYkwxjmM2BaLZ7B4uHqDojtTEOOuce5hNC4PRy+AgsrmayrfyVOV+4QGX7v4awUg6YBJuCCUHdTjgeZEfA5zY7oKcid3gJV8imxVuPusCqOJKYqKcf3KfCI5yfoV+gQpjBBIFq8/nq3X9lkk3JHbUlFdmMpF0TWELF1pijLxv/YihqLSWbuyigCjKCH5gZPzHnbKOiZwjIgrg28r2Ap6C3MC3uSFo2kRSNxSjy/vwgl5Ndgec75cnsDG4R/deiJskBSnmRU6OmHIuNaehUwTaSrzjES0W4USvKKnpJGNhzMgptnTIE1puyeutJJv33+YvpTx5pspApNDQ7/Q1i9h1B7r8K4hdDzHD0WFM3hX+RyN6Cmu2MTTzf1inOvkW42Lf0ZasLU13QH1NDWqnqJXPdzcsxoLr37OeNkmtriaqcA7J+HLXovJ67dUZ4NapgYp11ZHo+BKhHSUpyMVjhDgCMwqB0XSNHNLVBeKMw6BYYjzLb5VDLa0SXv+Nwbmk/ULMcAqu3cZKeap8xVzzYOBQossSNNaPPHBNCWrHcUPfPTTPFs7GzL278FFjKPMZ1dBC60OgLt4o4mr5uE7BVIBrznR3OxdG2jFGdMmZqWy17BVTzzi94JOmrkGdOPCJfz//aOLTS0CyWvXWqndyzflj54uZv+zwtbHMDOZKQ2tVqZckfBLWcItc9VmHFUlsJ6nNw0zvw0tXdNDjW1XLPO1NjDbn99oVX7gOW7njuYQDviIVMZkanFP3ZT4RBxtZPKoJSoKr1cfgVcxmoeOu+GTATP0ByefS/1txRTxqsFF5Csr77jCDYrsxc8b2LM0lXGHhXPi3N3mp9Ic7ulX2H0T16qiaIBQap7QerAKbgxviCd/rKXWRZm7UovIKwBmAn5HUIR2JDUdpkmsAfbZYMNJ44Rrm2RzgZB4yAsH72LJkfwm04B4sxbM22WVjGDFjd4kX3PbQdqDDztH7ZZ1vU7jd/MFtI7GTf81PMddv8xGRE0ISsKbvBfDlWuBPG4hH+Zy8kUxxw2RteM5+BOm4Zoqj5fw+XdyX+98kz7iXRfQbL//WACrWBYi6owsys1WglMuUUZBCmOAsafBeUKm5A4O+us6bjfRBeVbI7R8MSdifERMYnnID3/VDkfjAax2COYKlJSGbNk8Da+T9KqzcVmnLO91TTQlqXSHcQxSYEgIMYIk38efhMbsuAJvXact+yXvvwuSpgP0OeRCx7I6KqZg7ms/BBTMo1NP+TZ4xLvpHQIJkvs8UkJGoe0hoPGAcKp3V/nsHSrsQGipgNUl5rZxBSvTwEce2aACxOAOHu6eVY8b1teTrfzepyzNc5nZ5ntpTewl+R7j8+knz7Lrjl2AUaEkdZ5xfNc1z667O2sBgNhLvOIngXK5ukRllEIy3yu2Z5n1Ns4W5tt/MS73uWc4vXdwQQ6+vRShWprr8ppisCwqOUQFPzcLff+lMDYLA5RHQXVzb5LcTExduPOwi/ExEUx9yd6AjjlEzzsWDRkF9FUi7oFyLdG3OPhIFHNqwYdsISMjFYNQY0YFCK8yoGzGjnMBu+ihLvWhsw1dxmIKfAKteOxbeJM03XWA+FykKgMsUOZnoGPbCKEDvxyOOnoHWJqmQYQOgn8mjkaZWpkB2LWYXDDfHm0odkQfZNljXnyfCZ2O71mpc2StilNF2ZB+lrM6D9AsD8MnL0GiANflgCx6ZAToszDFUKnSHMvkRedFvl40QlwLLON9thg48Ji6n7ve+458elIegM/BxNoKiMGOLY66fOK0l+dE3TCpFwIBSRgd4FVrIvQCRqYGyFVBuOIHJpRjQN3YZScDDeJyM+l4UzCM+kFU8l1Ov5aftuuWXmzx4l7BIkpmxA1t21Sf2Vhxt1uvrCg+eDUmwPLvO0S6sCVGz9NIYjKJalEJn9Rl3DfI7Q1DFBrCnbYwOYHTgU393p215mGEFLjgHWu2o/++E3zLpXijmXTucfIWQwFF7BQStED8BTTeoRjvWNjtzGZWrznyMwK53jft8LXaQMHeUFbgynE/3B5MT12aY291VjD4J44/SCKK9vGxWZeIFPe3IrPaxyjxb36+EKabw4fXag3f+g995/46ATH9X0HFGhKLufHAo0/cz/nJL2Vy9VqPN0SabJGKLEE+yejI71+4uInM2ecfowvV3hmyzSjJjjdC6ErZAR+1KbQRSNNxU7RPklnHQQZYywWt8JIhP6YHwYw5yftihHlRNgQNcU2eDTLmxpqzDhIMSpXOAKIlo54uSHwUZvkq9bO9OVpM7PNoEZk4QvAeDKB8LggGK1OI8npxccVZQCORhTfR8FsUWSHzJBISZzYzxyvHMLoCG3fAZfCraBLu4q2g7a/xMN51P0FNGif7amnebexTq9wF1OBmizypc/b6a9myfzBmU56zNUfGkCmV/rNG4Rx+SFP93Ew7qAlHKVFHQX8Ljb8H5/rrd82O/rHaWbjZ957z8oVEhzIHUygKXSsPMlpm7wuKkqCjfOOk26eFSK74dzzUPGCGIXjKf52NIgi3BWaDDn5NThf+wBUoNOxZblbIcxu+l78VVSB2Ds4YrX17CLzzISlUTDjlx+boSJDAwamxREEsqnmdMMuF9pU+GBITpe5EwEBrTmAOTl2cixzQPEo+RISSXYAZlSRMuddlvMFzbNE+iSOZ7DZmNzaycl/EewxaDZMm+iIacUOXyy4wJL753ob6Vn2eW9TvtMbm+m2GfZ9O9dN3W8zgyO/Ty6zn4SZD5hQ0ZFpyLT75awUU4RHMKGO0VBOtefA02AvdP/3ji3WfvSvvaH5J+ysCuoP+nPDAn0q9vxpzJlEyyq4yL0QW54lgUEKhekj0UPsxrbbDhEEJ/xLRUZ6anMvObOyjFcwtLKLM6e4qEEFa183RYrVEnlZ6+PGV1JmoQhUoJvGGIJGQDYJMnwIs0CUS01rI4nyEGQXPUkv3ikiiI8GFQAqgtxrmGIClssctAJR3GiqMTi4LM50OW0uQ2wxhSb/g5KApQlMMiDcoaM4nByjARDnszzK89/QRVhuIKLKDdeysIaYTmGDN2Zm05XtjXSJGZFNynMBoT7RRoDB18ccEfPdc8wXM7gbK7gJY4gdsgmpwQbBJm/o9HgFq5numGueO9ps/NSX35v+ydtPMQB5Ge6GBfr7356Gf/tjtdWcl5UyRWV0b8YEN5UCuqZGeoEBzqvIgS06wbj8eg8DG+DszhQQseRf0+voyvlVlId0aTvyIU2e1srxQu/lsnkxFWPlqipzn15FmGsug3kVlzuZUjaqVEIrF6YG/hBmwgPWRlrJWUkleF7kkOAgWsIrLN6K33v0X9xLPiIz3LKbrISrSSda2BnUEiO0CzG5ERlBCP+xXJ4LJCb+mOslod8lN22fT7vRBxDuk+KrQOuF99DrCxZxehN7vzUrWDNMpzDK78OUeIwXGLaYzz7DSuUsLyosIOANpvG0evJyNQRoWIvbW+WdQ8GdhIa7oOtudvI1att/MN/Y+sEf+KrFJ4B62e6GBdqcKPCqc6ZBXKEwSJDa4qgIuMJXx9LH2Rv4tts4ZwIetymsuiC0DDhirwLCUKrP1NNYzCbeZB7bhRlCtudv4plyp7MuxDG98BIVRGAsik8JVRHinOck5yxGwEcafqaycd62wNs2tP/N0zFCyFBhDWFZuDI0j9Wzvmln6pLBBDZDlPCJEE84ZA8xcWHaGeK/NCiMFYB8Ls65ZwdzTVcwEcC67/BVmOSHkPFLYRx/xCVDwBFvn6sUCD/ClFqDjf8tBn5d9nZsbPc5VgHDxUbuHByiH8gKM4MW8XEOBy/0HgFfF/P6d/n2+PPNzX/x3DfccVOE2XIeSKAbW5tPDmiN8R2vMaOgdsIzSw9HqQTmIv/Vs530l47PpYcIi03rFoyrRguFn1nbUsgiJhJUUGXN5FOVyEj8MeASaodwZqgMkUWk4DEf3W6xGOdZxWcotWB2ps9XwUQcecaftFdw0cDjKcMZXi59of9snQoDTsGfdmGKTAdc06+QZ6pCcMewNizjJqUUKujIZI3TqbUHbEJ6Bk27CjEuqvh9cJfXm7xi4zcWfZPE70HG4gvpxWNn2WePh4NHz+1uMD5gyoQn+g1wRW9Kmnj7xLrRzLR30x/lp1/Ge4GG8OjnLqaLZniU/UcnFz4P+pvmDiTQs/WFj3Q7EOrO1DGjpAVKpznsfCtCe2Z9mP7nz26mH7ljKd3HCxWtGiNj9gC00bqNEcMP1UiFx5sF1hZ1hO6AKOOMADPhESYA6PJtsQ2tQtNZnVncsl88RUuZVkENTKT3XlyeZZmCJT5wVUAWa9rl4AkGz17WaU45f6zmblHtvr1udy2dofWsWOG4guZQCBET4fv/lCa2GyKXuIQW/SIvipsufwmro1UvDGfSf/sHX0hP9+1zOFQe2uoM+upzHCeAjru/uZZ+8ituS8eYhvOlXeshxg9oB+fBtbdnGNBtxHs3YCYjd+kN+cZkg1mTfH41JXWKhL0mDKiy/xwz9J96Ks0ebaRHvuY1qTbXP795+jJHFCAcN8kdSKDvODnzySvPrZ9BWE9lqZB7XIWJpfKjkm3SjfTRs430I5wC9PZT3fRa6uYegO3o6mhxmVQGT1HRlBvLBAH1qSArd3SBXVo8gpt/883wwfMQ2lLNCo0raYIVp2hY8cIU50BVmN1woTmB3U+cSnrvUXwGwduc/OOmJL+bfT+v+N/Hmx9tCPbdwmye5LIIXwRwGs+N+yPHPcANn8RNm17mLK9dEfwCmvZJvhy6xewCUxQUnljfD+TgGsf7/eYWrydSRwEPPhkGn/IYgmEk6rp8D8dIdY97uLusiva5n910EkDOcQ0Q6FWQfuZ8qp+/kl7/9tvTWx85mu440Ugr7dbKkftGf/vnH330H3z/298+XQWkfWnuQAL9c9/5wRe+4Wff8NvD3uz3xMEmUT8VA+NW+WMwJ0FwgtKe3uAN589Ir++p5XlaX5oNCxQcotEflQ4KdBshhI4Hmwaqlb0LTXx0ZzyapZfg4Rk/xmBN6OJsJ4IKO3YIYjxGRBVqAI1tOmgMv4enwA18k6S/mt58sp2+jQpbnmM6Ch5YUr/hUpwNtgFfFLiiRQsvMlQhMN+LnZupn+DJBQliQV3CfZ6EhW7gx5BYZaSX/MyGByZKjTMReJxeE8I5Vnh7OwsmvsCgUCvI4UQUyPIyu3zPdchgkage9bLO18uazId8/iwvZ4/Quu7reJZ5hM9eTIu3LaSv/o6H0uvvwQaf6/MyrG+6DzjOb/bvD449PPd4Sn/vYUjMmb303wMJ9LvSu0bzzcv/bH19632pzXyLwuUMgvyQF5Y9Ln5C+KrwEEJXjgB05s8EBa5UdMBX6SIS3LtcVGwRaCtAEC9x+VhwlXRRaeWhAhdeZ5pwlSfwEhAthLu9QYU3w13nF/hGp5P+6pedSm/hcxqznbX0dLebziKxrohpkrirwh0JbfyeWuR+6Mw+G09ls8IdbfW4CHVWJxy0xPghyM2DNPnvo8W2ceRxB2nAXxqB6S2yU6Cu9onuU77FzaIP9h/lFT8QCq5aFaG9h3O02x2W2t2i6ouyxqOklGfBr6DlMR7JzzGNCzJsxILXW9BzerWfnr6I5nfU97Fn2Jm3kR5+5M70Ng5wfBVngC1x8J2DUhu5C6lt8M7Otn/k0c9vLm7NrP7w20+d+uJM21GqcP/oniN/9MOPX/rtQWf4LXG2VImQa3LWe7C5imCKKMLUAkqIV0i/8XDBRx22V9a+wsjkvZwc5QrORkY7gQqunaF7PwlbrgIRKM3DgD3wF7i97gj0DDbocST2MqdBtZgSO1dnV0VFU3TXCgBoFfAQBQTIbZz8hhBqj7vXok1YfDYO+BkEzXB3eLTosfK2TwQYQfO4sBb8cCDXhGdiNZ884JZ+ryzcYYLRaDwQ8tIlFuBifg3+y2ql3Lrzwlw67klWCB3intkNkFpYmreh+Xmm7DisK/Kz58GiTD3EcBMafv+5Ydp6Es3/9JNp6eHj6WuZXH7rSTZuzdI46h3o91NwvPVOmcRg6Yc0/PnZ+e8/U5+Z/Y3z5//Lb73tNg6XfmnuQBraLP7Oe1P/x587+mOXzp/7urS8sBJnNChkOgUx/IWZERhRY2FVE4TAAhPJqntJUu5GKrjTLhoEAaAYu2mQ6fAxwB6eAmfa4hes4Cr36aTTcNOwBYZK9VyMLvOVvlrlAYqbsbhrMRCyqH7sdfAAUWWVtWkhokajVsvG7jPQWfx6mW0ghVo7Xs4Fh+stbZSE4xFUAWnAiiQrn8Z5CE40EOrD1TtfEbMhXcSM+NwlFQlV79J0mHVkpDDr+FLtXcT1mI7z/Dw3R7lINsLWdnX0EmU8r53tWzYUhknAGMhzDl362Gd66anfeibN8KbwA+++P731zRwag+WhFh7RuGtssLKx8ZpCbtjkmc9FYZq3h7Avzr6v15+Z//XLn/9b33bk3rVM0MF+DyzQor/4fenPZ3+68RPb68OfjkNNYp8fEcV2ViCsDS/94WQYl6pCbwgnnvADpEDEAwGMosMVJueHKkyEwuTHnb8i28eVRhf5VTDikMMVyh0pA/8emRTY3VE+U4bnecv6EhLpUHMGbeSeBU0Mq7GYDzFv7QwA5RQuNJW6wCdUYZcrD8AUeA98VEMWMyNr4dCP4HYnno3ABlNnFBy7B20E7mEhXIPDr+baC1jUT23NsHSNIDOrQeuY8DHKAyxAWMDpU9CwRN55v4ecQeg2OuniBlN3aOkWaWM3X5P+gdXjj3742fSxR19Mr3ngtenLvvJIuv1IP91e32Y2hEah6QI9mlgNex/44Yqi1StrFBNNpjrHAy/NzX5Ht7My98Ez6T9716l8+oG536hjVsm+5+DuVx9Pje/69c2f5WT57wuh9t2ykIyQzMpfCWagh3KYHpc3neoKRkc6BycRzy1Lt54pB5zgMl7hLAI6BREcmn6+lj9I4afc9RSc03noD5h9kBkfDg/aLdQjYyG/xb0AsQscLzCLHnMjzjK2acPGD8cXmRGYQ5V6aKPC4VsldZ69+5aJFpr5xun30oWAufpodnJqRIMYYhZoGigYIdD85qaEYIZAB2H8iExTppb+lAHhh5+kRx+/dT5V/WhQTwH9+nuX04MLm3wxgP0oXuZK3gNMg9idxzz0OoLcbc2lF09vpz9+/6d4IXcuPfDOV6W3PriS7mj32Oes7qahUTYtGgV6hrK14Is9iGOIkrPTsG6zzbsQOYODU6a6w8G/ay02/tN3z6cXgvgb/HnJAi3+L//VtPjxJy7+3LBV/2uoourcs4rM0LLBeiC5R00AE/YaJbQWSnQQK9MI09lkI1KAyoXNR7xRweDw5OfKu69Ai9b8dOHP3ngw3Gu6kQRd/CBEkV8lXOP0ekqe3uMSlsuxAFop6J8nYd9vjTibQJDtm/l552Udj3kkrUWts9JWZ8eZhzGqqZagh5dDUou3QBrsi2hwVl2ThrE8i0DwAsGIz1L4cmpPoeV8Wg+6dDNUnVGWOwDnaCzhB0wzxMz99YNDHz+7kR7/PBuH+ABp1IU8L60Hs2CRfL7mzsV0iqm7OdLFOX4IoSWKL2bRI/QQ6Iuj2fTxT55Nzzx6Ob36/tvTmx45kU4c51wNaFqkh3C+o8ZmJbOvUVjvjUqY7V3iECH5hXM6UZa7LhGvofHQXmRgub39y3/z3vnvCaAb/HlJJkfB/f99Z1r/5t859r0fePT8mf56/e/GMVK+EMbp7FkoqUEr0OkfChROm02/TCwCY8FCqITAH12hFQ95ltSwAuOjCCpmGBXPYTiSn5o+bHTSR0YlY+FwPsZlQjz6Iz/u9hiBD78VXYFkGggLZzh5hKCQn2v8QZ83EpjGDVzDLfZIshHnGGclceBgF2HtcUU7Jz8NDcQxl48uOXbXd0jHuRtXrvBhFYTcd/fTwBkJ4tvg8+tAR9hFf8zTjAhzghshDPopbq11Od37+hPpZIfPvrF65845z94bMZ04YLl6jTI9s8bUqbzi9FcSUFUz0MUJRVVdtGgorgS6h9s9Nwq981J+scx1gy1gOQ0hPf7iKttKa+nrvuWBdN+dzIow797A5LShDnxRGB5xqghXnjKUnZ7NIgPMyyZGCeIujDt8tn2JGBi3PCzymtdSv3EKkAO5lyXQ5vRvv4nJ5fYn/+uZf//IR3sX1n+Mk93fAOM5qh0VM0v3sr2a7kZ7N1se60RLp2DR2mGOLdNCWSD3eMzTfTpSfuoi3fQchxmyiSv2DBNv8bUJTcNjthUjLT9WGlhevMDeWvbjHmlvMyCjUwvBJl5XGkB+MiDwsVc9rW3QXc6DFHq7qEix8RN0CY43cBnjgkIDDfQ0q6D1TiPddXQbXWQJgI88NA3ws1R5Anm7o3s8vVBbSM8htGvg3hDWio2GzR3Bi2ViadUMmPGi4LxsG418DuVwlLBFnt13aU/o6aIxxWajl8LceEfdJbT8RnrktYscpsRRxXwWwkUejyG4hGI5TePrrF20NGl24Wi62wMjWcL+NNf6Bo1oleN/65wJy5TdZUpUZ6DneSiKZhfN3OX8jk0+Md2jN1milzh51xL3Xtrm01d96s8Bqy8NuDFzZFfDt9NlRp6ZMd4xAu9Vgs8w+WkdlZmZ2XijkNkcGlSLvFe7FxGVg20jfdkC/eYPrS5/bvSO+9LXN7q1s8d+b3Sx+wAUzsZhgTTLv/n629L77pqh+/LdBwWxsF++qqkoMxEDuyNa7zba40NPXmBwMJPecGo5jzOJV8hiRpX0eAOP3lgqp9gq/N96/Hx6xz3L6TUI5wZW62Q1y4EUwLucOJ/iPNrHnu2nv373UnQmCnQR9pyrv7oQc07bwhxg0Peb5zZSk81XX3PfnYBniLLV1EZn8/Us58c+s5p+6U+fT8P5Oxjt19OGsqdT6vWbHSZDtHSsAA8Kj/PEQgPzvEQVKchzAPNdlZi8jcLwzLnauSfBLx40+rPPrqcX7jnOrjiO82WhQ3H0XHJt4SGa+nUry2xpn08rzHAs0Jg6tU66E55vzC+nAQc8LmC2nGWeWrOgj0BaNz2E2QZotk4rthgH+O2WOPKAsg8c4EKCCicfeWBa1RdkobVDifEcK4+AOv8cp9KCyxbpPhB5p9nUaDQ32Vvy6U6931lrdD8kxEHcS7Khf+DRS4v/V2/2PWvbw28bdptfThd/Fwaab4ZSglAZ1j8Tk1vpf3xdPX07Uzd1NIUuymBJiyMgCq5oMyq2Va/TRfsW8MrsIhUf+juYZXckgrHggAM+EuTAA2FBg8xy1GvDinCAFIJm1SjQkXPJtbpTASBY59NjR9CMsa21osbK0eVfiUSgxce/H8dZI0Il2mavgsvvAkbvgdcXXz0lFErRVCvpVz+xmn7hs53UmV/h/T/4EHsbiJYlaug4VFEEaGLKEREso8cqjKeI8uZzmAnslQA7F7B06wBw6cgr2Mu9sZbe85Vz6TVMr7URaJuhh6b7Qu6lbj2tQuwmmrpPg7LRuVkpTBM4Ge8X0vsYZzpzCD44k6LCoUHkQSzmDIO4ebQ3r8vGvHlbu500UtRSmGkAHnRvbxyDPvLRvo8FJcLU5qGV8OucAZqdnRXm0dMvbn7jU1vnt/6X9z5gYQ/kpPlA7u9+bPDe9zeO/sTaYPSWoU1PTeNLaWzWxuqfIpK4Dq/LszuPslIHVK51RrDs8h9P+QlZtfg1ul0Z44jez/7qYroLhqjdTRaywl1c1qN3DxPfZi9Ck11+Hp4S3R0RDpjClUT5qbQN6EfDbPMGBvsaNAWyXqEcQVuF3BvEK9CWwRPwu5wi1EUj0heFhoLciA9to7Bga/qdvq3aWnrzcjM9wsDwA1eoHzWuBBcnrc58mKF5KvCSHKNCAlSJakhFxTGF2lBhQFhjaRna+QggzySicbTnMLYwN6Snxlyy2jMGWjQup+HmZeKcMwzOWWNC8RjfN6QuNQkQ2RBkhxUeUuPxBQphLIb4Ror1YFr4Jo5YJArexoggaIstqxjT9g7WJcYG6bLAx1fIDCdfgLn0qFgwNdobnqA0+I7bj2ymhz0j+ODuQAL9Tz62/e4r/da/WK0NFobYUhicMFWivHByMWxC/Bwhlc5eSgv3H8fcaLHCZKtVZwENA/RbL6YtGCIuujIm6519lVHYUsUJL2xxwUcfDERwM/sKtul7AfK+01k9SH00mjIttiMX+1xcNMZKoLX3bcM9DhR0tjKEWeIF4q5MDrFft1kPXsWkOX2pn45e7KfXnTmfnmNGYG0JWoXVWQi0nWSEfWW4Au1lWBSDHxkmbxU37Sy+QXI3U2sPHWG8sYD1yUD8Tug6MXtnuhOa43gAtT2SWbRh8JP3AZ3Sk6sKlVeDbmpyiKRZ8kchYj80BVKzahyOaCBRTAkDb/xBind1G7fKKYteQFO+cZRliHKHSiNv4qISrQWGhYyhWvGFgCi5CA7sJtJyvaQf9CtyzR/ozPUWNrYZQHBwdzCYVhuVUtLbh3tItgJPhfs2r/OLnsRJaaJw4z0XlM8CRYFlbni0o6hwusjYh1BVfDEZrNLighc+yNxIK7u9drrgo3mRWDBdhIUnHkNPBEDF8Byaq8U8Q3cb5wMC5SyCSLQR3fTDLaDssHqYPu6yjY9O0uD9Hsr9J+fT9qUL6XPv/700+vpHGNwx8Aua+VGqTBj2O2iCUMPhmQUTTgGxt2EueIHPV3zbQ0vp6zi/+W4G27E0jpkV47BABZ/BGYfKSDDdPxRWZbck6ljzycUJo9ZnXF1ziAilKWetCUda0JiBZA7Jq6xYehdb/EUdS6+pTZCvcR0TYpihkUtE82MxaRGt5iJvftPzvAx3wwL9+Ln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Ue=Me.total;this._internalAbort(),Ue!=null&Ue!==0&&(this._totalLength=Ue)}if(this._range.to===-1?this._contentLength=this._totalLength-this._range.from:this._contentLength=this._range.to-this._range.from+1,Oe){this._openSubRange();return}this._onContentLengthKnown&&this._onContentLengthKnown(this._contentLength)}let Te=Me.loaded-this._lastTimeLoaded;this._lastTimeLoaded=Me.loaded,this._speedSampler.addBytes(Te)}_normalizeSpeed(Me){let Te=this._chunkSizeKBList,Oe=Te.length-1,Ue=0,Ye=0,Et=Oe;if(Me=Te[Ue]&&Me=3&&(Te=this._speedSampler.currentKBps)),Te!==0){let Et=this._normalizeSpeed(Te);this._currentSpeedNormalized!==Et&&(this._currentSpeedNormalized=Et,this._currentChunkSizeKB=Et)}let Oe=Me.target.response,Ue=this._range.from+this._receivedLength;this._receivedLength+=Oe.byteLength;let Ye=!1;this._contentLength!=null&&this._receivedLength0&&this._receivedLength{this._dispatchArrayBuffer(Te.result)},Te.readAsArrayBuffer(Me.data)}else{this._status=Se.kError;let Te={code:-1,msg:"Unsupported WebSocket message type: "+Me.data.constructor.name};if(this._onError)this._onError(ce.EXCEPTION,Te);else throw new be(Te.msg)}}_dispatchArrayBuffer(Me){let Te=Me,Oe=this._receivedLength;this._receivedLength+=Te.byteLength,this._onDataArrival&&this._onDataArrival(Te,Oe,this._receivedLength)}_onWebSocketError(Me){this._status=Se.kError;let Te={code:Me.code,msg:Me.message};if(this._onError)this._onError(ce.EXCEPTION,Te);else throw new be(Te.msg)}}var ze=Ne;class Ge{constructor(Me){this._zeroStart=Me||!1}getConfig(Me,Te){let Oe={};if(Te.from!==0||Te.to!==-1){let Ue;Te.to!==-1?Ue=`bytes=${Te.from.toString()}-${Te.to.toString()}`:Ue=`bytes=${Te.from.toString()}-`,Oe.Range=Ue}else this._zeroStart&&(Oe.Range="bytes=0-");return{url:Me,headers:Oe}}removeURLParameters(Me){return Me}}var Xe=Ge;class Qe{constructor(Me,Te){this._startName=Me,this._endName=Te}getConfig(Me,Te){let Oe=Me;if(Te.from!==0||Te.to!==-1){let Ue=!0;Oe.indexOf("?")===-1&&(Oe+="?",Ue=!1),Ue&&(Oe+="&"),Oe+=`${this._startName}=${Te.from.toString()}`,Te.to!==-1&&(Oe+=`&${this._endName}=${Te.to.toString()}`)}return{url:Oe,headers:{}}}removeURLParameters(Me){let Te=Me.split("?")[0],Oe,Ue=Me.indexOf("?");Ue!==-1&&(Oe=Me.substring(Ue+1));let Ye="";if(Oe!=null&&Oe.length>0){let Et=Oe.split("&");for(let Pt=0;Pt0;qt[0]!==this._startName&&qt[0]!==this._endName&&(Vt&&(Ye+="&"),Ye+=Et[Pt])}}return Ye.length===0?Te:Te+"?"+Ye}}var nt=Qe;class $e{constructor(Me,Te,Oe){this.TAG="IOController",this._config=Te,this._extraData=Oe,this._stashInitialSize=1024*384,Te.stashInitialSize!=null&&Te.stashInitialSize>0&&(this._stashInitialSize=Te.stashInitialSize),this._stashUsed=0,this._stashSize=this._stashInitialSize,this._bufferSize=1024*1024*3,this._stashBuffer=new ArrayBuffer(this._bufferSize),this._stashByteStart=0,this._enableStash=!0,Te.enableStashBuffer===!1&&(this._enableStash=!1),this._loader=null,this._loaderClass=null,this._seekHandler=null,this._dataSource=Me,this._isWebSocketURL=/wss?:\/\/(.+?)/.test(Me.url),this._refTotalLength=Me.filesize?Me.filesize:null,this._totalLength=this._refTotalLength,this._fullRequestFlag=!1,this._currentRange=null,this._redirectedURL=null,this._speedNormalized=0,this._speedSampler=new Ee,this._speedNormalizeList=[64,128,256,384,512,768,1024,1536,2048,3072,4096],this._isEarlyEofReconnecting=!1,this._paused=!1,this._resumeFrom=0,this._onDataArrival=null,this._onSeeked=null,this._onError=null,this._onComplete=null,this._onRedirect=null,this._onRecoveredEarlyEof=null,this._selectSeekHandler(),this._selectLoader(),this._createLoader()}destroy(){this._loader.isWorking()&&this._loader.abort(),this._loader.destroy(),this._loader=null,this._loaderClass=null,this._dataSource=null,this._stashBuffer=null,this._stashUsed=this._stashSize=this._bufferSize=this._stashByteStart=0,this._currentRange=null,this._speedSampler=null,this._isEarlyEofReconnecting=!1,this._onDataArrival=null,this._onSeeked=null,this._onError=null,this._onComplete=null,this._onRedirect=null,this._onRecoveredEarlyEof=null,this._extraData=null}isWorking(){return this._loader&&this._loader.isWorking()&&!this._paused}isPaused(){return this._paused}get status(){return this._loader.status}get extraData(){return this._extraData}set extraData(Me){this._extraData=Me}get onDataArrival(){return this._onDataArrival}set onDataArrival(Me){this._onDataArrival=Me}get onSeeked(){return this._onSeeked}set onSeeked(Me){this._onSeeked=Me}get onError(){return this._onError}set onError(Me){this._onError=Me}get onComplete(){return this._onComplete}set onComplete(Me){this._onComplete=Me}get onRedirect(){return this._onRedirect}set onRedirect(Me){this._onRedirect=Me}get onRecoveredEarlyEof(){return this._onRecoveredEarlyEof}set onRecoveredEarlyEof(Me){this._onRecoveredEarlyEof=Me}get currentURL(){return this._dataSource.url}get hasRedirect(){return this._redirectedURL!=null||this._dataSource.redirectedURL!=null}get currentRedirectedURL(){return this._redirectedURL||this._dataSource.redirectedURL}get currentSpeed(){return this._loaderClass===Re?this._loader.currentSpeed:this._speedSampler.lastSecondKBps}get loaderType(){return this._loader.type}_selectSeekHandler(){let Me=this._config;if(Me.seekType==="range")this._seekHandler=new Xe(this._config.rangeLoadZeroStart);else if(Me.seekType==="param"){let Te=Me.seekParamStart||"bstart",Oe=Me.seekParamEnd||"bend";this._seekHandler=new nt(Te,Oe)}else if(Me.seekType==="custom"){if(typeof Me.customSeekHandler!="function")throw new pe("Custom seekType specified in config but invalid customSeekHandler!");this._seekHandler=new Me.customSeekHandler}else throw new pe(`Invalid seekType in config: ${Me.seekType}`)}_selectLoader(){if(this._config.customLoader!=null)this._loaderClass=this._config.customLoader;else if(this._isWebSocketURL)this._loaderClass=ze;else if(he.isSupported())this._loaderClass=he;else if(ue.isSupported())this._loaderClass=ue;else if(Re.isSupported())this._loaderClass=Re;else throw new be("Your browser doesn't support xhr with arraybuffer responseType!")}_createLoader(){this._loader=new this._loaderClass(this._seekHandler,this._config),this._loader.needStashBuffer===!1&&(this._enableStash=!1),this._loader.onContentLengthKnown=this._onContentLengthKnown.bind(this),this._loader.onURLRedirect=this._onURLRedirect.bind(this),this._loader.onDataArrival=this._onLoaderChunkArrival.bind(this),this._loader.onComplete=this._onLoaderComplete.bind(this),this._loader.onError=this._onLoaderError.bind(this)}open(Me){this._currentRange={from:0,to:-1},Me&&(this._currentRange.from=Me),this._speedSampler.reset(),Me||(this._fullRequestFlag=!0),this._loader.open(this._dataSource,Object.assign({},this._currentRange))}abort(){this._loader.abort(),this._paused&&(this._paused=!1,this._resumeFrom=0)}pause(){this.isWorking()&&(this._loader.abort(),this._stashUsed!==0?(this._resumeFrom=this._stashByteStart,this._currentRange.to=this._stashByteStart-1):this._resumeFrom=this._currentRange.to+1,this._stashUsed=0,this._stashByteStart=0,this._paused=!0)}resume(){if(this._paused){this._paused=!1;let Me=this._resumeFrom;this._resumeFrom=0,this._internalSeek(Me,!0)}}seek(Me){this._paused=!1,this._stashUsed=0,this._stashByteStart=0,this._internalSeek(Me,!0)}_internalSeek(Me,Te){this._loader.isWorking()&&this._loader.abort(),this._flushStashBuffer(Te),this._loader.destroy(),this._loader=null;let Oe={from:Me,to:-1};this._currentRange={from:Oe.from,to:-1},this._speedSampler.reset(),this._stashSize=this._stashInitialSize,this._createLoader(),this._loader.open(this._dataSource,Oe),this._onSeeked&&this._onSeeked()}updateUrl(Me){if(!Me||typeof Me!="string"||Me.length===0)throw new pe("Url must be a non-empty string!");this._dataSource.url=Me}_expandBuffer(Me){let Te=this._stashSize;for(;Te+1024*1024*10){let Ue=new Uint8Array(this._stashBuffer,0,this._stashUsed);new Uint8Array(Oe,0,Te).set(Ue,0)}this._stashBuffer=Oe,this._bufferSize=Te}_normalizeSpeed(Me){let Te=this._speedNormalizeList,Oe=Te.length-1,Ue=0,Ye=0,Et=Oe;if(Me=Te[Ue]&&Me=512&&Me<=1024?Te=Math.floor(Me*1.5):Te=Me*2,Te>8192&&(Te=8192);let Oe=Te*1024+1024*1024*1;this._bufferSize0){let Et=this._stashBuffer.slice(0,this._stashUsed),Pt=this._dispatchChunks(Et,this._stashByteStart);if(Pt0){let qt=new Uint8Array(Et,Pt);Ye.set(qt,0),this._stashUsed=qt.byteLength,this._stashByteStart+=Pt}}else this._stashUsed=0,this._stashByteStart+=Pt;this._stashUsed+Me.byteLength>this._bufferSize&&(this._expandBuffer(this._stashUsed+Me.byteLength),Ye=new Uint8Array(this._stashBuffer,0,this._bufferSize)),Ye.set(new Uint8Array(Me),this._stashUsed),this._stashUsed+=Me.byteLength}else{let Et=this._dispatchChunks(Me,Te);if(Etthis._bufferSize&&(this._expandBuffer(Pt),Ye=new Uint8Array(this._stashBuffer,0,this._bufferSize)),Ye.set(new Uint8Array(Me,Et),0),this._stashUsed+=Pt,this._stashByteStart=Te+Et}}}else if(this._stashUsed===0){let Ye=this._dispatchChunks(Me,Te);if(Yethis._bufferSize&&this._expandBuffer(Et),new Uint8Array(this._stashBuffer,0,this._bufferSize).set(new Uint8Array(Me,Ye),0),this._stashUsed+=Et,this._stashByteStart=Te+Ye}}else{this._stashUsed+Me.byteLength>this._bufferSize&&this._expandBuffer(this._stashUsed+Me.byteLength);let Ye=new Uint8Array(this._stashBuffer,0,this._bufferSize);Ye.set(new Uint8Array(Me),this._stashUsed),this._stashUsed+=Me.byteLength;let Et=this._dispatchChunks(this._stashBuffer.slice(0,this._stashUsed),this._stashByteStart);if(Et0){let Pt=new Uint8Array(this._stashBuffer,Et);Ye.set(Pt,0)}this._stashUsed-=Et,this._stashByteStart+=Et}}_flushStashBuffer(Me){if(this._stashUsed>0){let Te=this._stashBuffer.slice(0,this._stashUsed),Oe=this._dispatchChunks(Te,this._stashByteStart),Ue=Te.byteLength-Oe;if(Oe0){let Ye=new Uint8Array(this._stashBuffer,0,this._bufferSize),Et=new Uint8Array(Te,Oe);Ye.set(Et,0),this._stashUsed=Et.byteLength,this._stashByteStart+=Oe}return 0}return this._stashUsed=0,this._stashByteStart=0,Ue}return 0}_onLoaderComplete(Me,Te){this._flushStashBuffer(!0),this._onComplete&&this._onComplete(this._extraData)}_onLoaderError(Me,Te){switch(Pe.e(this.TAG,`Loader error, code = ${Te.code}, msg = ${Te.msg}`),this._flushStashBuffer(!1),this._isEarlyEofReconnecting&&(this._isEarlyEofReconnecting=!1,Me=ce.UNRECOVERABLE_EARLY_EOF),Me){case ce.EARLY_EOF:{if(!this._config.isLive&&this._totalLength){let Oe=this._currentRange.to+1;Oe0){let Te=mt.getConfig();Me.emit("change",Te)}}static registerListener(Me){mt.emitter.addListener("change",Me)}static removeListener(Me){mt.emitter.removeListener("change",Me)}static addLogListener(Me){Pe.emitter.addListener("log",Me),Pe.emitter.listenerCount("log")>0&&(Pe.ENABLE_CALLBACK=!0,mt._notifyChange())}static removeLogListener(Me){Pe.emitter.removeListener("log",Me),Pe.emitter.listenerCount("log")===0&&(Pe.ENABLE_CALLBACK=!1,mt._notifyChange())}}mt.emitter=new(Ce());var ht=mt;class gt{constructor(){this.mimeType=null,this.duration=null,this.hasAudio=null,this.hasVideo=null,this.audioCodec=null,this.videoCodec=null,this.audioDataRate=null,this.videoDataRate=null,this.audioSampleRate=null,this.audioChannelCount=null,this.width=null,this.height=null,this.fps=null,this.profile=null,this.level=null,this.refFrames=null,this.chromaFormat=null,this.sarNum=null,this.sarDen=null,this.metadata=null,this.segments=null,this.segmentCount=null,this.hasKeyframesIndex=null,this.keyframesIndex=null}isComplete(){let Me=this.hasAudio===!1||this.hasAudio===!0&&this.audioCodec!=null&&this.audioSampleRate!=null&&this.audioChannelCount!=null,Te=this.hasVideo===!1||this.hasVideo===!0&&this.videoCodec!=null&&this.width!=null&&this.height!=null&&this.fps!=null&&this.profile!=null&&this.level!=null&&this.refFrames!=null&&this.chromaFormat!=null&&this.sarNum!=null&&this.sarDen!=null;return this.mimeType!=null&&this.duration!=null&&this.metadata!=null&&this.hasKeyframesIndex!=null&&Me&&Te}isSeekable(){return this.hasKeyframesIndex===!0}getNearestKeyframe(Me){if(this.keyframesIndex==null)return null;let Te=this.keyframesIndex,Oe=this._search(Te.times,Me);return{index:Oe,milliseconds:Te.times[Oe],fileposition:Te.filepositions[Oe]}}_search(Me,Te){let Oe=0,Ue=Me.length-1,Ye=0,Et=0,Pt=Ue;for(Te=Me[Ye]&&Te=128){Me.push(String.fromCharCode(Ye&65535)),Oe+=2;continue}}}else if(Te[Oe]<240){if(Zt(Te,Oe,2)){let Ye=(Te[Oe]&15)<<12|(Te[Oe+1]&63)<<6|Te[Oe+2]&63;if(Ye>=2048&&(Ye&63488)!==55296){Me.push(String.fromCharCode(Ye&65535)),Oe+=3;continue}}}else if(Te[Oe]<248&&Zt(Te,Oe,3)){let Ye=(Te[Oe]&7)<<18|(Te[Oe+1]&63)<<12|(Te[Oe+2]&63)<<6|Te[Oe+3]&63;if(Ye>65536&&Ye<1114112){Ye-=65536,Me.push(String.fromCharCode(Ye>>>10|55296)),Me.push(String.fromCharCode(Ye&1023|56320)),Oe+=4;continue}}}Me.push("\uFFFD"),++Oe}return Me.join("")}var dn=en;let Lt=function(){let bt=new ArrayBuffer(2);return new DataView(bt).setInt16(0,256,!0),new Int16Array(bt)[0]===256}();class an{static parseScriptData(Me,Te,Oe){let Ue={};try{let Ye=an.parseValue(Me,Te,Oe),Et=an.parseValue(Me,Te+Ye.size,Oe-Ye.size);Ue[Ye.data]=Et.data}catch(Ye){Pe.e("AMF",Ye.toString())}return Ue}static parseObject(Me,Te,Oe){if(Oe<3)throw new we("Data not enough when parse ScriptDataObject");let Ue=an.parseString(Me,Te,Oe),Ye=an.parseValue(Me,Te+Ue.size,Oe-Ue.size),Et=Ye.objectEnd;return{data:{name:Ue.data,value:Ye.data},size:Ue.size+Ye.size,objectEnd:Et}}static parseVariable(Me,Te,Oe){return an.parseObject(Me,Te,Oe)}static parseString(Me,Te,Oe){if(Oe<2)throw new we("Data not enough when parse String");let Ye=new DataView(Me,Te,Oe).getUint16(0,!Lt),Et;return Ye>0?Et=dn(new Uint8Array(Me,Te+2,Ye)):Et="",{data:Et,size:2+Ye}}static parseLongString(Me,Te,Oe){if(Oe<4)throw new we("Data not enough when parse LongString");let Ye=new DataView(Me,Te,Oe).getUint32(0,!Lt),Et;return Ye>0?Et=dn(new Uint8Array(Me,Te+4,Ye)):Et="",{data:Et,size:4+Ye}}static parseDate(Me,Te,Oe){if(Oe<10)throw new we("Data size invalid when parse Date");let Ue=new DataView(Me,Te,Oe),Ye=Ue.getFloat64(0,!Lt),Et=Ue.getInt16(8,!Lt);return Ye+=Et*60*1e3,{data:new Date(Ye),size:10}}static parseValue(Me,Te,Oe){if(Oe<1)throw new we("Data not enough when parse Value");let Ue=new DataView(Me,Te,Oe),Ye=1,Et=Ue.getUint8(0),Pt,qt=!1;try{switch(Et){case 0:Pt=Ue.getFloat64(1,!Lt),Ye+=8;break;case 1:{Pt=!!Ue.getUint8(1),Ye+=1;break}case 2:{let Vt=an.parseString(Me,Te+1,Oe-1);Pt=Vt.data,Ye+=Vt.size;break}case 3:{Pt={};let Vt=0;for((Ue.getUint32(Oe-4,!Lt)&16777215)===9&&(Vt=3);Ye32)throw new pe("ExpGolomb: readBits() bits exceeded max 32bits!");if(Me<=this._current_word_bits_left){let Et=this._current_word>>>32-Me;return this._current_word<<=Me,this._current_word_bits_left-=Me,Et}let Te=this._current_word_bits_left?this._current_word:0;Te=Te>>>32-this._current_word_bits_left;let Oe=Me-this._current_word_bits_left;this._fillCurrentWord();let Ue=Math.min(Oe,this._current_word_bits_left),Ye=this._current_word>>>32-Ue;return this._current_word<<=Ue,this._current_word_bits_left-=Ue,Te=Te<>>Me)return this._current_word<<=Me,this._current_word_bits_left-=Me,Me;return this._fillCurrentWord(),Me+this._skipLeadingZero()}readUEG(){let Me=this._skipLeadingZero();return this.readBits(Me+1)-1}readSEG(){let Me=this.readUEG();return Me&1?Me+1>>>1:-1*(Me>>>1)}}var Bn=Mn;class sn{static _ebsp2rbsp(Me){let Te=Me,Oe=Te.byteLength,Ue=new Uint8Array(Oe),Ye=0;for(let Et=0;Et=2&&Te[Et]===3&&Te[Et-1]===0&&Te[Et-2]===0||(Ue[Ye]=Te[Et],Ye++);return new Uint8Array(Ue.buffer,0,Ye)}static parseSPS(Me){let Te=sn._ebsp2rbsp(Me),Oe=new Bn(Te);Oe.readByte();let Ue=Oe.readByte();Oe.readByte();let Ye=Oe.readByte();Oe.readUEG();let Et=sn.getProfileString(Ue),Pt=sn.getLevelString(Ye),qt=1,Vt=420,fn=[0,420,422,444],gn=8;if((Ue===100||Ue===110||Ue===122||Ue===244||Ue===44||Ue===83||Ue===86||Ue===118||Ue===128||Ue===138||Ue===144)&&(qt=Oe.readUEG(),qt===3&&Oe.readBits(1),qt<=3&&(Vt=fn[qt]),gn=Oe.readUEG()+8,Oe.readUEG(),Oe.readBits(1),Oe.readBool())){let Ta=qt!==3?8:12;for(let sa=0;sa0&&Ta<16?(Ar=sa[Ta-1],tr=$a[Ta-1]):Ta===255&&(Ar=Oe.readByte()<<8|Oe.readByte(),tr=Oe.readByte()<<8|Oe.readByte())}if(Oe.readBool()&&Oe.readBool(),Oe.readBool()&&(Oe.readBits(4),Oe.readBool()&&Oe.readBits(24)),Oe.readBool()&&(Oe.readUEG(),Oe.readUEG()),Oe.readBool()){let Ta=Oe.readBits(32),sa=Oe.readBits(32);cr=Oe.readBool(),Ln=sa,pr=Ta*2,ur=Ln/pr}}let Rr=1;(Ar!==1||tr!==1)&&(Rr=Ar/tr);let Ja=0,qa=0;if(qt===0)Ja=1,qa=2-fr;else{let Ta=qt===3?1:2,sa=qt===1?2:1;Ja=Ta,qa=sa*(2-fr)}let di=(qn+1)*16,Qr=(2-fr)*((nr+1)*16);di-=(mn+nn)*Ja,Qr-=(Tn+Un)*qa;let da=Math.ceil(di*Rr);return Oe.destroy(),Oe=null,{profile_string:Et,level_string:Pt,bit_depth:gn,ref_frames:wn,chroma_format:Vt,chroma_format_string:sn.getChromaFormatString(Vt),frame_rate:{fixed:cr,fps:ur,fps_den:pr,fps_num:Ln},sar_ratio:{width:Ar,height:tr},codec_size:{width:di,height:Qr},present_size:{width:da,height:Qr}}}static _skipScalingList(Me,Te){let Oe=8,Ue=8,Ye=0;for(let Et=0;Et>>8&255|(bt&255)<<8}function Yt(bt){return(bt&4278190080)>>>24|(bt&16711680)>>>8|(bt&65280)<<8|(bt&255)<<24}function vt(bt,Me){return bt[Me]<<24|bt[Me+1]<<16|bt[Me+2]<<8|bt[Me+3]}class At{constructor(Me,Te){this.TAG="FLVDemuxer",this._config=Te,this._onError=null,this._onMediaInfo=null,this._onMetaDataArrived=null,this._onScriptDataArrived=null,this._onTrackMetadata=null,this._onDataAvailable=null,this._dataOffset=Me.dataOffset,this._firstParse=!0,this._dispatch=!1,this._hasAudio=Me.hasAudioTrack,this._hasVideo=Me.hasVideoTrack,this._hasAudioFlagOverrided=!1,this._hasVideoFlagOverrided=!1,this._audioInitialMetadataDispatched=!1,this._videoInitialMetadataDispatched=!1,this._mediaInfo=new Wt,this._mediaInfo.hasAudio=this._hasAudio,this._mediaInfo.hasVideo=this._hasVideo,this._metadata=null,this._audioMetadata=null,this._videoMetadata=null,this._naluLengthSize=4,this._timestampBase=0,this._timescale=1e3,this._duration=0,this._durationOverrided=!1,this._referenceFrameRate={fixed:!0,fps:23.976,fps_num:23976,fps_den:1e3},this._flvSoundRateTable=[5500,11025,22050,44100,48e3],this._mpegSamplingRates=[96e3,88200,64e3,48e3,44100,32e3,24e3,22050,16e3,12e3,11025,8e3,7350],this._mpegAudioV10SampleRateTable=[44100,48e3,32e3,0],this._mpegAudioV20SampleRateTable=[22050,24e3,16e3,0],this._mpegAudioV25SampleRateTable=[11025,12e3,8e3,0],this._mpegAudioL1BitRateTable=[0,32,64,96,128,160,192,224,256,288,320,352,384,416,448,-1],this._mpegAudioL2BitRateTable=[0,32,48,56,64,80,96,112,128,160,192,224,256,320,384,-1],this._mpegAudioL3BitRateTable=[0,32,40,48,56,64,80,96,112,128,160,192,224,256,320,-1],this._videoTrack={type:"video",id:1,sequenceNumber:0,samples:[],length:0},this._audioTrack={type:"audio",id:2,sequenceNumber:0,samples:[],length:0},this._littleEndian=function(){let Oe=new ArrayBuffer(2);return new DataView(Oe).setInt16(0,256,!0),new Int16Array(Oe)[0]===256}()}destroy(){this._mediaInfo=null,this._metadata=null,this._audioMetadata=null,this._videoMetadata=null,this._videoTrack=null,this._audioTrack=null,this._onError=null,this._onMediaInfo=null,this._onMetaDataArrived=null,this._onScriptDataArrived=null,this._onTrackMetadata=null,this._onDataAvailable=null}static probe(Me){let Te=new Uint8Array(Me),Oe={match:!1};if(Te[0]!==70||Te[1]!==76||Te[2]!==86||Te[3]!==1)return Oe;let Ue=(Te[4]&4)>>>2!==0,Ye=(Te[4]&1)!==0,Et=vt(Te,5);return Et<9?Oe:{match:!0,consumed:Et,dataOffset:Et,hasAudioTrack:Ue,hasVideoTrack:Ye}}bindDataSource(Me){return Me.onDataArrival=this.parseChunks.bind(this),this}get onTrackMetadata(){return this._onTrackMetadata}set onTrackMetadata(Me){this._onTrackMetadata=Me}get onMediaInfo(){return this._onMediaInfo}set onMediaInfo(Me){this._onMediaInfo=Me}get onMetaDataArrived(){return this._onMetaDataArrived}set onMetaDataArrived(Me){this._onMetaDataArrived=Me}get onScriptDataArrived(){return this._onScriptDataArrived}set onScriptDataArrived(Me){this._onScriptDataArrived=Me}get onError(){return this._onError}set onError(Me){this._onError=Me}get onDataAvailable(){return this._onDataAvailable}set onDataAvailable(Me){this._onDataAvailable=Me}get timestampBase(){return this._timestampBase}set timestampBase(Me){this._timestampBase=Me}get overridedDuration(){return this._duration}set overridedDuration(Me){this._durationOverrided=!0,this._duration=Me,this._mediaInfo.duration=Me}set overridedHasAudio(Me){this._hasAudioFlagOverrided=!0,this._hasAudio=Me,this._mediaInfo.hasAudio=Me}set overridedHasVideo(Me){this._hasVideoFlagOverrided=!0,this._hasVideo=Me,this._mediaInfo.hasVideo=Me}resetMediaInfo(){this._mediaInfo=new Wt}_isInitialMetadataDispatched(){return this._hasAudio&&this._hasVideo?this._audioInitialMetadataDispatched&&this._videoInitialMetadataDispatched:this._hasAudio&&!this._hasVideo?this._audioInitialMetadataDispatched:!this._hasAudio&&this._hasVideo?this._videoInitialMetadataDispatched:!1}parseChunks(Me,Te){if(!this._onError||!this._onMediaInfo||!this._onTrackMetadata||!this._onDataAvailable)throw new we("Flv: onError & onMediaInfo & onTrackMetadata & onDataAvailable callback must be specified");let Oe=0,Ue=this._littleEndian;if(Te===0)if(Me.byteLength>13)Oe=At.probe(Me).dataOffset;else return 0;for(this._firstParse&&(this._firstParse=!1,Te+Oe!==this._dataOffset&&Pe.w(this.TAG,"First time parsing but chunk byteStart invalid!"),new DataView(Me,Oe).getUint32(0,!Ue)!==0&&Pe.w(this.TAG,"PrevTagSize0 !== 0 !!!"),Oe+=4);OeMe.byteLength)break;let Et=Ye.getUint8(0),Pt=Ye.getUint32(0,!Ue)&16777215;if(Oe+11+Pt+4>Me.byteLength)break;if(Et!==8&&Et!==9&&Et!==18){Pe.w(this.TAG,`Unsupported tag type ${Et}, skipped`),Oe+=11+Pt+4;continue}let qt=Ye.getUint8(4),Vt=Ye.getUint8(5),fn=Ye.getUint8(6),gn=Ye.getUint8(7),Qn=fn|Vt<<8|qt<<16|gn<<24;(Ye.getUint32(7,!Ue)&16777215)!==0&&Pe.w(this.TAG,"Meet tag which has StreamID != 0!");let qn=Oe+11;switch(Et){case 8:this._parseAudioData(Me,qn,Pt,Qn);break;case 9:this._parseVideoData(Me,qn,Pt,Qn,Te+Oe);break;case 18:this._parseScriptData(Me,qn,Pt);break}let nr=Ye.getUint32(11+Pt,!Ue);nr!==11+Pt&&Pe.w(this.TAG,`Invalid PrevTagSize ${nr}`),Oe+=11+Pt+4}return this._isInitialMetadataDispatched()&&this._dispatch&&(this._audioTrack.length||this._videoTrack.length)&&this._onDataAvailable(this._audioTrack,this._videoTrack),Oe}_parseScriptData(Me,Te,Oe){let Ue=rn.parseScriptData(Me,Te,Oe);if(Ue.hasOwnProperty("onMetaData")){if(Ue.onMetaData==null||typeof Ue.onMetaData!="object"){Pe.w(this.TAG,"Invalid onMetaData structure!");return}this._metadata&&Pe.w(this.TAG,"Found another onMetaData tag!"),this._metadata=Ue;let Ye=this._metadata.onMetaData;if(this._onMetaDataArrived&&this._onMetaDataArrived(Object.assign({},Ye)),typeof Ye.hasAudio=="boolean"&&this._hasAudioFlagOverrided===!1&&(this._hasAudio=Ye.hasAudio,this._mediaInfo.hasAudio=this._hasAudio),typeof Ye.hasVideo=="boolean"&&this._hasVideoFlagOverrided===!1&&(this._hasVideo=Ye.hasVideo,this._mediaInfo.hasVideo=this._hasVideo),typeof Ye.audiodatarate=="number"&&(this._mediaInfo.audioDataRate=Ye.audiodatarate),typeof Ye.videodatarate=="number"&&(this._mediaInfo.videoDataRate=Ye.videodatarate),typeof Ye.width=="number"&&(this._mediaInfo.width=Ye.width),typeof Ye.height=="number"&&(this._mediaInfo.height=Ye.height),typeof Ye.duration=="number"){if(!this._durationOverrided){let Et=Math.floor(Ye.duration*this._timescale);this._duration=Et,this._mediaInfo.duration=Et}}else this._mediaInfo.duration=0;if(typeof Ye.framerate=="number"){let Et=Math.floor(Ye.framerate*1e3);if(Et>0){let Pt=Et/1e3;this._referenceFrameRate.fixed=!0,this._referenceFrameRate.fps=Pt,this._referenceFrameRate.fps_num=Et,this._referenceFrameRate.fps_den=1e3,this._mediaInfo.fps=Pt}}if(typeof Ye.keyframes=="object"){this._mediaInfo.hasKeyframesIndex=!0;let Et=Ye.keyframes;this._mediaInfo.keyframesIndex=this._parseKeyframesIndex(Et),Ye.keyframes=null}else this._mediaInfo.hasKeyframesIndex=!1;this._dispatch=!1,this._mediaInfo.metadata=Ye,Pe.v(this.TAG,"Parsed onMetaData"),this._mediaInfo.isComplete()&&this._onMediaInfo(this._mediaInfo)}Object.keys(Ue).length>0&&this._onScriptDataArrived&&this._onScriptDataArrived(Object.assign({},Ue))}_parseKeyframesIndex(Me){let Te=[],Oe=[];for(let Ue=1;Ue>>4;if(qt!==2&&qt!==10){this._onError(It.CODEC_UNSUPPORTED,"Flv: Unsupported audio codec idx: "+qt);return}let Vt=0,fn=(Pt&12)>>>2;if(fn>=0&&fn<=4)Vt=this._flvSoundRateTable[fn];else{this._onError(It.FORMAT_ERROR,"Flv: Invalid audio sample rate idx: "+fn);return}let gn=(Pt&2)>>>1,Qn=Pt&1,wn=this._audioMetadata,qn=this._audioTrack;if(wn||(this._hasAudio===!1&&this._hasAudioFlagOverrided===!1&&(this._hasAudio=!0,this._mediaInfo.hasAudio=!0),wn=this._audioMetadata={},wn.type="audio",wn.id=qn.id,wn.timescale=this._timescale,wn.duration=this._duration,wn.audioSampleRate=Vt,wn.channelCount=Qn===0?1:2),qt===10){let nr=this._parseAACAudioData(Me,Te+1,Oe-1);if(nr==null)return;if(nr.packetType===0){wn.config&&Pe.w(this.TAG,"Found another AudioSpecificConfig!");let fr=nr.data;wn.audioSampleRate=fr.samplingRate,wn.channelCount=fr.channelCount,wn.codec=fr.codec,wn.originalCodec=fr.originalCodec,wn.config=fr.config,wn.refSampleDuration=1024/wn.audioSampleRate*wn.timescale,Pe.v(this.TAG,"Parsed AudioSpecificConfig"),this._isInitialMetadataDispatched()?this._dispatch&&(this._audioTrack.length||this._videoTrack.length)&&this._onDataAvailable(this._audioTrack,this._videoTrack):this._audioInitialMetadataDispatched=!0,this._dispatch=!1,this._onTrackMetadata("audio",wn);let mn=this._mediaInfo;mn.audioCodec=wn.originalCodec,mn.audioSampleRate=wn.audioSampleRate,mn.audioChannelCount=wn.channelCount,mn.hasVideo?mn.videoCodec!=null&&(mn.mimeType='video/x-flv; codecs="'+mn.videoCodec+","+mn.audioCodec+'"'):mn.mimeType='video/x-flv; codecs="'+mn.audioCodec+'"',mn.isComplete()&&this._onMediaInfo(mn)}else if(nr.packetType===1){let fr=this._timestampBase+Ue,mn={unit:nr.data,length:nr.data.byteLength,dts:fr,pts:fr};qn.samples.push(mn),qn.length+=nr.data.length}else Pe.e(this.TAG,`Flv: Unsupported AAC data type ${nr.packetType}`)}else if(qt===2){if(!wn.codec){let nn=this._parseMP3AudioData(Me,Te+1,Oe-1,!0);if(nn==null)return;wn.audioSampleRate=nn.samplingRate,wn.channelCount=nn.channelCount,wn.codec=nn.codec,wn.originalCodec=nn.originalCodec,wn.refSampleDuration=1152/wn.audioSampleRate*wn.timescale,Pe.v(this.TAG,"Parsed MPEG Audio Frame Header"),this._audioInitialMetadataDispatched=!0,this._onTrackMetadata("audio",wn);let Tn=this._mediaInfo;Tn.audioCodec=wn.codec,Tn.audioSampleRate=wn.audioSampleRate,Tn.audioChannelCount=wn.channelCount,Tn.audioDataRate=nn.bitRate,Tn.hasVideo?Tn.videoCodec!=null&&(Tn.mimeType='video/x-flv; codecs="'+Tn.videoCodec+","+Tn.audioCodec+'"'):Tn.mimeType='video/x-flv; codecs="'+Tn.audioCodec+'"',Tn.isComplete()&&this._onMediaInfo(Tn)}let nr=this._parseMP3AudioData(Me,Te+1,Oe-1,!1);if(nr==null)return;let fr=this._timestampBase+Ue,mn={unit:nr,length:nr.byteLength,dts:fr,pts:fr};qn.samples.push(mn),qn.length+=nr.length}}_parseAACAudioData(Me,Te,Oe){if(Oe<=1){Pe.w(this.TAG,"Flv: Invalid AAC packet, missing AACPacketType or/and Data!");return}let Ue={},Ye=new Uint8Array(Me,Te,Oe);return Ue.packetType=Ye[0],Ye[0]===0?Ue.data=this._parseAACAudioSpecificConfig(Me,Te+1,Oe-1):Ue.data=Ye.subarray(1),Ue}_parseAACAudioSpecificConfig(Me,Te,Oe){let Ue=new Uint8Array(Me,Te,Oe),Ye=null,Et=0,Pt=0,qt=null,Vt=0,fn=null;if(Et=Pt=Ue[0]>>>3,Vt=(Ue[0]&7)<<1|Ue[1]>>>7,Vt<0||Vt>=this._mpegSamplingRates.length){this._onError(It.FORMAT_ERROR,"Flv: AAC invalid sampling frequency index!");return}let gn=this._mpegSamplingRates[Vt],Qn=(Ue[1]&120)>>>3;if(Qn<0||Qn>=8){this._onError(It.FORMAT_ERROR,"Flv: AAC invalid channel configuration");return}Et===5&&(fn=(Ue[1]&7)<<1|Ue[2]>>>7,qt=(Ue[2]&124)>>>2);let wn=self.navigator.userAgent.toLowerCase();return wn.indexOf("firefox")!==-1?Vt>=6?(Et=5,Ye=new Array(4),fn=Vt-3):(Et=2,Ye=new Array(2),fn=Vt):wn.indexOf("android")!==-1?(Et=2,Ye=new Array(2),fn=Vt):(Et=5,fn=Vt,Ye=new Array(4),Vt>=6?fn=Vt-3:Qn===1&&(Et=2,Ye=new Array(2),fn=Vt)),Ye[0]=Et<<3,Ye[0]|=(Vt&15)>>>1,Ye[1]=(Vt&15)<<7,Ye[1]|=(Qn&15)<<3,Et===5&&(Ye[1]|=(fn&15)>>>1,Ye[2]=(fn&1)<<7,Ye[2]|=8,Ye[3]=0),{config:Ye,samplingRate:gn,channelCount:Qn,codec:"mp4a.40."+Et,originalCodec:"mp4a.40."+Pt}}_parseMP3AudioData(Me,Te,Oe,Ue){if(Oe<4){Pe.w(this.TAG,"Flv: Invalid MP3 packet, header missing!");return}let Ye=this._littleEndian,Et=new Uint8Array(Me,Te,Oe),Pt=null;if(Ue){if(Et[0]!==255)return;let qt=Et[1]>>>3&3,Vt=(Et[1]&6)>>1,fn=(Et[2]&240)>>>4,gn=(Et[2]&12)>>>2,wn=(Et[3]>>>6&3)!==3?2:1,qn=0,nr=0,fr=34,mn="mp3";switch(qt){case 0:qn=this._mpegAudioV25SampleRateTable[gn];break;case 2:qn=this._mpegAudioV20SampleRateTable[gn];break;case 3:qn=this._mpegAudioV10SampleRateTable[gn];break}switch(Vt){case 1:fr=34,fn>>4,qt=Et&15;if(qt!==7){this._onError(It.CODEC_UNSUPPORTED,`Flv: Unsupported codec in video frame: ${qt}`);return}this._parseAVCVideoPacket(Me,Te+1,Oe-1,Ue,Ye,Pt)}_parseAVCVideoPacket(Me,Te,Oe,Ue,Ye,Et){if(Oe<4){Pe.w(this.TAG,"Flv: Invalid AVC packet, missing AVCPacketType or/and CompositionTime");return}let Pt=this._littleEndian,qt=new DataView(Me,Te,Oe),Vt=qt.getUint8(0),gn=(qt.getUint32(0,!Pt)&16777215)<<8>>8;if(Vt===0)this._parseAVCDecoderConfigurationRecord(Me,Te+4,Oe-4);else if(Vt===1)this._parseAVCVideoData(Me,Te+4,Oe-4,Ue,Ye,Et,gn);else if(Vt!==2){this._onError(It.FORMAT_ERROR,`Flv: Invalid video packet type ${Vt}`);return}}_parseAVCDecoderConfigurationRecord(Me,Te,Oe){if(Oe<7){Pe.w(this.TAG,"Flv: Invalid AVCDecoderConfigurationRecord, lack of data!");return}let Ue=this._videoMetadata,Ye=this._videoTrack,Et=this._littleEndian,Pt=new DataView(Me,Te,Oe);Ue?typeof Ue.avcc!="undefined"&&Pe.w(this.TAG,"Found another AVCDecoderConfigurationRecord!"):(this._hasVideo===!1&&this._hasVideoFlagOverrided===!1&&(this._hasVideo=!0,this._mediaInfo.hasVideo=!0),Ue=this._videoMetadata={},Ue.type="video",Ue.id=Ye.id,Ue.timescale=this._timescale,Ue.duration=this._duration);let qt=Pt.getUint8(0),Vt=Pt.getUint8(1),fn=Pt.getUint8(2),gn=Pt.getUint8(3);if(qt!==1||Vt===0){this._onError(It.FORMAT_ERROR,"Flv: Invalid AVCDecoderConfigurationRecord");return}if(this._naluLengthSize=(Pt.getUint8(4)&3)+1,this._naluLengthSize!==3&&this._naluLengthSize!==4){this._onError(It.FORMAT_ERROR,`Flv: Strange NaluLengthSizeMinusOne: ${this._naluLengthSize-1}`);return}let Qn=Pt.getUint8(5)&31;if(Qn===0){this._onError(It.FORMAT_ERROR,"Flv: Invalid AVCDecoderConfigurationRecord: No SPS");return}else Qn>1&&Pe.w(this.TAG,`Flv: Strange AVCDecoderConfigurationRecord: SPS Count = ${Qn}`);let wn=6;for(let nr=0;nr1&&Pe.w(this.TAG,`Flv: Strange AVCDecoderConfigurationRecord: PPS Count = ${qn}`);wn++;for(let nr=0;nr=Oe){Pe.w(this.TAG,`Malformed Nalu near timestamp ${qn}, offset = ${Qn}, dataSize = ${Oe}`);break}let fr=Vt.getUint32(Qn,!qt);if(wn===3&&(fr>>>=8),fr>Oe-wn){Pe.w(this.TAG,`Malformed Nalus near timestamp ${qn}, NaluSize > DataSize!`);return}let mn=Vt.getUint8(Qn+wn)&31;mn===5&&(nr=!0);let nn=new Uint8Array(Me,Te+Qn,wn+fr),Tn={type:mn,data:nn};fn.push(Tn),gn+=nn.byteLength,Qn+=wn+fr}if(fn.length){let fr=this._videoTrack,mn={units:fn,length:gn,isKeyframe:nr,dts:qn,cts:Pt,pts:qn+Pt};nr&&(mn.fileposition=Ye),fr.samples.push(mn),fr.length+=gn}}}var Xt=At;class Ft{static init(){Ft.types={avc1:[],avcC:[],btrt:[],dinf:[],dref:[],esds:[],ftyp:[],hdlr:[],mdat:[],mdhd:[],mdia:[],mfhd:[],minf:[],moof:[],moov:[],mp4a:[],mvex:[],mvhd:[],sdtp:[],stbl:[],stco:[],stsc:[],stsd:[],stsz:[],stts:[],tfdt:[],tfhd:[],traf:[],trak:[],trun:[],trex:[],tkhd:[],vmhd:[],smhd:[],".mp3":[]};for(let Te in Ft.types)Ft.types.hasOwnProperty(Te)&&(Ft.types[Te]=[Te.charCodeAt(0),Te.charCodeAt(1),Te.charCodeAt(2),Te.charCodeAt(3)]);let Me=Ft.constants={};Me.FTYP=new Uint8Array([105,115,111,109,0,0,0,1,105,115,111,109,97,118,99,49]),Me.STSD_PREFIX=new Uint8Array([0,0,0,0,0,0,0,1]),Me.STTS=new Uint8Array([0,0,0,0,0,0,0,0]),Me.STSC=Me.STCO=Me.STTS,Me.STSZ=new Uint8Array([0,0,0,0,0,0,0,0,0,0,0,0]),Me.HDLR_VIDEO=new Uint8Array([0,0,0,0,0,0,0,0,118,105,100,101,0,0,0,0,0,0,0,0,0,0,0,0,86,105,100,101,111,72,97,110,100,108,101,114,0]),Me.HDLR_AUDIO=new Uint8Array([0,0,0,0,0,0,0,0,115,111,117,110,0,0,0,0,0,0,0,0,0,0,0,0,83,111,117,110,100,72,97,110,100,108,101,114,0]),Me.DREF=new Uint8Array([0,0,0,0,0,0,0,1,0,0,0,12,117,114,108,32,0,0,0,1]),Me.SMHD=new Uint8Array([0,0,0,0,0,0,0,0]),Me.VMHD=new Uint8Array([0,0,0,1,0,0,0,0,0,0,0,0])}static box(Me){let Te=8,Oe=null,Ue=Array.prototype.slice.call(arguments,1),Ye=Ue.length;for(let Pt=0;Pt>>24&255,Oe[1]=Te>>>16&255,Oe[2]=Te>>>8&255,Oe[3]=Te&255,Oe.set(Me,4);let Et=8;for(let Pt=0;Pt>>24&255,Me>>>16&255,Me>>>8&255,Me&255,Te>>>24&255,Te>>>16&255,Te>>>8&255,Te&255,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,64,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,255,255,255,255]))}static trak(Me){return Ft.box(Ft.types.trak,Ft.tkhd(Me),Ft.mdia(Me))}static tkhd(Me){let Te=Me.id,Oe=Me.duration,Ue=Me.presentWidth,Ye=Me.presentHeight;return Ft.box(Ft.types.tkhd,new Uint8Array([0,0,0,7,0,0,0,0,0,0,0,0,Te>>>24&255,Te>>>16&255,Te>>>8&255,Te&255,0,0,0,0,Oe>>>24&255,Oe>>>16&255,Oe>>>8&255,Oe&255,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,64,0,0,0,Ue>>>8&255,Ue&255,0,0,Ye>>>8&255,Ye&255,0,0]))}static mdia(Me){return Ft.box(Ft.types.mdia,Ft.mdhd(Me),Ft.hdlr(Me),Ft.minf(Me))}static mdhd(Me){let Te=Me.timescale,Oe=Me.duration;return Ft.box(Ft.types.mdhd,new Uint8Array([0,0,0,0,0,0,0,0,0,0,0,0,Te>>>24&255,Te>>>16&255,Te>>>8&255,Te&255,Oe>>>24&255,Oe>>>16&255,Oe>>>8&255,Oe&255,85,196,0,0]))}static hdlr(Me){let Te=null;return Me.type==="audio"?Te=Ft.constants.HDLR_AUDIO:Te=Ft.constants.HDLR_VIDEO,Ft.box(Ft.types.hdlr,Te)}static minf(Me){let Te=null;return Me.type==="audio"?Te=Ft.box(Ft.types.smhd,Ft.constants.SMHD):Te=Ft.box(Ft.types.vmhd,Ft.constants.VMHD),Ft.box(Ft.types.minf,Te,Ft.dinf(),Ft.stbl(Me))}static dinf(){return Ft.box(Ft.types.dinf,Ft.box(Ft.types.dref,Ft.constants.DREF))}static stbl(Me){return Ft.box(Ft.types.stbl,Ft.stsd(Me),Ft.box(Ft.types.stts,Ft.constants.STTS),Ft.box(Ft.types.stsc,Ft.constants.STSC),Ft.box(Ft.types.stsz,Ft.constants.STSZ),Ft.box(Ft.types.stco,Ft.constants.STCO))}static stsd(Me){return Me.type==="audio"?Me.codec==="mp3"?Ft.box(Ft.types.stsd,Ft.constants.STSD_PREFIX,Ft.mp3(Me)):Ft.box(Ft.types.stsd,Ft.constants.STSD_PREFIX,Ft.mp4a(Me)):Ft.box(Ft.types.stsd,Ft.constants.STSD_PREFIX,Ft.avc1(Me))}static mp3(Me){let Te=Me.channelCount,Oe=Me.audioSampleRate,Ue=new Uint8Array([0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,Te,0,16,0,0,0,0,Oe>>>8&255,Oe&255,0,0]);return Ft.box(Ft.types[".mp3"],Ue)}static mp4a(Me){let Te=Me.channelCount,Oe=Me.audioSampleRate,Ue=new Uint8Array([0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,Te,0,16,0,0,0,0,Oe>>>8&255,Oe&255,0,0]);return Ft.box(Ft.types.mp4a,Ue,Ft.esds(Me))}static esds(Me){let Te=Me.config||[],Oe=Te.length,Ue=new Uint8Array([0,0,0,0,3,23+Oe,0,1,0,4,15+Oe,64,21,0,0,0,0,0,0,0,0,0,0,0,5].concat([Oe]).concat(Te).concat([6,1,2]));return Ft.box(Ft.types.esds,Ue)}static avc1(Me){let Te=Me.avcc,Oe=Me.codecWidth,Ue=Me.codecHeight,Ye=new Uint8Array([0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,Oe>>>8&255,Oe&255,Ue>>>8&255,Ue&255,0,72,0,0,0,72,0,0,0,0,0,0,0,1,10,120,113,113,47,102,108,118,46,106,115,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,24,255,255]);return Ft.box(Ft.types.avc1,Ye,Ft.box(Ft.types.avcC,Te))}static mvex(Me){return Ft.box(Ft.types.mvex,Ft.trex(Me))}static trex(Me){let Te=Me.id,Oe=new Uint8Array([0,0,0,0,Te>>>24&255,Te>>>16&255,Te>>>8&255,Te&255,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,1]);return Ft.box(Ft.types.trex,Oe)}static moof(Me,Te){return Ft.box(Ft.types.moof,Ft.mfhd(Me.sequenceNumber),Ft.traf(Me,Te))}static mfhd(Me){let Te=new Uint8Array([0,0,0,0,Me>>>24&255,Me>>>16&255,Me>>>8&255,Me&255]);return Ft.box(Ft.types.mfhd,Te)}static traf(Me,Te){let Oe=Me.id,Ue=Ft.box(Ft.types.tfhd,new Uint8Array([0,0,0,0,Oe>>>24&255,Oe>>>16&255,Oe>>>8&255,Oe&255])),Ye=Ft.box(Ft.types.tfdt,new Uint8Array([0,0,0,0,Te>>>24&255,Te>>>16&255,Te>>>8&255,Te&255])),Et=Ft.sdtp(Me),Pt=Ft.trun(Me,Et.byteLength+16+16+8+16+8+8);return Ft.box(Ft.types.traf,Ue,Ye,Pt,Et)}static sdtp(Me){let Te=Me.samples||[],Oe=Te.length,Ue=new Uint8Array(4+Oe);for(let Ye=0;Ye>>24&255,Ue>>>16&255,Ue>>>8&255,Ue&255,Te>>>24&255,Te>>>16&255,Te>>>8&255,Te&255],0);for(let Pt=0;Pt>>24&255,qt>>>16&255,qt>>>8&255,qt&255,Vt>>>24&255,Vt>>>16&255,Vt>>>8&255,Vt&255,fn.isLeading<<2|fn.dependsOn,fn.isDependedOn<<6|fn.hasRedundancy<<4|fn.isNonSync,0,0,gn>>>24&255,gn>>>16&255,gn>>>8&255,gn&255],12+16*Pt)}return Ft.box(Ft.types.trun,Et)}static mdat(Me){return Ft.box(Ft.types.mdat,Me)}}Ft.init();var Mt=Ft;class ln{static getSilentFrame(Me,Te){if(Me==="mp4a.40.2"){if(Te===1)return new Uint8Array([0,200,0,128,35,128]);if(Te===2)return new Uint8Array([33,0,73,144,2,25,0,35,128]);if(Te===3)return new Uint8Array([0,200,0,128,32,132,1,38,64,8,100,0,142]);if(Te===4)return new Uint8Array([0,200,0,128,32,132,1,38,64,8,100,0,128,44,128,8,2,56]);if(Te===5)return new Uint8Array([0,200,0,128,32,132,1,38,64,8,100,0,130,48,4,153,0,33,144,2,56]);if(Te===6)return new Uint8Array([0,200,0,128,32,132,1,38,64,8,100,0,130,48,4,153,0,33,144,2,0,178,0,32,8,224])}else{if(Te===1)return new Uint8Array([1,64,34,128,163,78,230,128,186,8,0,0,0,28,6,241,193,10,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,94]);if(Te===2)return new Uint8Array([1,64,34,128,163,94,230,128,186,8,0,0,0,0,149,0,6,241,161,10,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,94]);if(Te===3)return new Uint8Array([1,64,34,128,163,94,230,128,186,8,0,0,0,0,149,0,6,241,161,10,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,94])}return null}}var Dn=ln;class Hn{constructor(Me,Te,Oe,Ue,Ye){this.dts=Me,this.pts=Te,this.duration=Oe,this.originalDts=Ue,this.isSyncPoint=Ye,this.fileposition=null}}class Vn{constructor(){this.beginDts=0,this.endDts=0,this.beginPts=0,this.endPts=0,this.originalBeginDts=0,this.originalEndDts=0,this.syncPoints=[],this.firstSample=null,this.lastSample=null}appendSyncPoint(Me){Me.isSyncPoint=!0,this.syncPoints.push(Me)}}class Kn{constructor(){this._list=[]}clear(){this._list=[]}appendArray(Me){let Te=this._list;Me.length!==0&&(Te.length>0&&Me[0].originalDts=Te[Ye].dts&&MeTe[Ue].lastSample.originalDts&&Me=Te[Ue].lastSample.originalDts&&(Ue===Te.length-1||Ue0&&(Ye=this._searchNearestSegmentBefore(Oe.originalBeginDts)+1),this._lastAppendLocation=Ye,this._list.splice(Ye,0,Oe)}getLastSegmentBefore(Me){let Te=this._searchNearestSegmentBefore(Me);return Te>=0?this._list[Te]:null}getLastSampleBefore(Me){let Te=this.getLastSegmentBefore(Me);return Te!=null?Te.lastSample:null}getLastSyncPointBefore(Me){let Te=this._searchNearestSegmentBefore(Me),Oe=this._list[Te].syncPoints;for(;Oe.length===0&&Te>0;)Te--,Oe=this._list[Te].syncPoints;return Oe.length>0?Oe[Oe.length-1]:null}}class $t{constructor(Me){this.TAG="MP4Remuxer",this._config=Me,this._isLive=Me.isLive===!0,this._dtsBase=-1,this._dtsBaseInited=!1,this._audioDtsBase=1/0,this._videoDtsBase=1/0,this._audioNextDts=void 0,this._videoNextDts=void 0,this._audioStashedLastSample=null,this._videoStashedLastSample=null,this._audioMeta=null,this._videoMeta=null,this._audioSegmentInfoList=new er("audio"),this._videoSegmentInfoList=new er("video"),this._onInitSegment=null,this._onMediaSegment=null,this._forceFirstIDR=!!(oe.chrome&&(oe.version.major<50||oe.version.major===50&&oe.version.build<2661)),this._fillSilentAfterSeek=oe.msedge||oe.msie,this._mp3UseMpegAudio=!oe.firefox,this._fillAudioTimestampGap=this._config.fixAudioTimestampGap}destroy(){this._dtsBase=-1,this._dtsBaseInited=!1,this._audioMeta=null,this._videoMeta=null,this._audioSegmentInfoList.clear(),this._audioSegmentInfoList=null,this._videoSegmentInfoList.clear(),this._videoSegmentInfoList=null,this._onInitSegment=null,this._onMediaSegment=null}bindDataSource(Me){return Me.onDataAvailable=this.remux.bind(this),Me.onTrackMetadata=this._onTrackMetadataReceived.bind(this),this}get onInitSegment(){return this._onInitSegment}set onInitSegment(Me){this._onInitSegment=Me}get onMediaSegment(){return this._onMediaSegment}set onMediaSegment(Me){this._onMediaSegment=Me}insertDiscontinuity(){this._audioNextDts=this._videoNextDts=void 0}seek(Me){this._audioStashedLastSample=null,this._videoStashedLastSample=null,this._videoSegmentInfoList.clear(),this._audioSegmentInfoList.clear()}remux(Me,Te){if(!this._onMediaSegment)throw new we("MP4Remuxer: onMediaSegment callback must be specificed!");this._dtsBaseInited||this._calculateDtsBase(Me,Te),this._remuxVideo(Te),this._remuxAudio(Me)}_onTrackMetadataReceived(Me,Te){let Oe=null,Ue="mp4",Ye=Te.codec;if(Me==="audio")this._audioMeta=Te,Te.codec==="mp3"&&this._mp3UseMpegAudio?(Ue="mpeg",Ye="",Oe=new Uint8Array):Oe=Mt.generateInitSegment(Te);else if(Me==="video")this._videoMeta=Te,Oe=Mt.generateInitSegment(Te);else return;if(!this._onInitSegment)throw new we("MP4Remuxer: onInitSegment callback must be specified!");this._onInitSegment(Me,{type:Me,data:Oe.buffer,codec:Ye,container:`${Me}/${Ue}`,mediaDuration:Te.duration})}_calculateDtsBase(Me,Te){this._dtsBaseInited||(Me.samples&&Me.samples.length&&(this._audioDtsBase=Me.samples[0].dts),Te.samples&&Te.samples.length&&(this._videoDtsBase=Te.samples[0].dts),this._dtsBase=Math.min(this._audioDtsBase,this._videoDtsBase),this._dtsBaseInited=!0)}flushStashedSamples(){let Me=this._videoStashedLastSample,Te=this._audioStashedLastSample,Oe={type:"video",id:1,sequenceNumber:0,samples:[],length:0};Me!=null&&(Oe.samples.push(Me),Oe.length=Me.length);let Ue={type:"audio",id:2,sequenceNumber:0,samples:[],length:0};Te!=null&&(Ue.samples.push(Te),Ue.length=Te.length),this._videoStashedLastSample=null,this._audioStashedLastSample=null,this._remuxVideo(Oe,!0),this._remuxAudio(Ue,!0)}_remuxAudio(Me,Te){if(this._audioMeta==null)return;let Oe=Me,Ue=Oe.samples,Ye,Et=-1,Pt=-1,qt=-1,Vt=this._audioMeta.refSampleDuration,fn=this._audioMeta.codec==="mp3"&&this._mp3UseMpegAudio,gn=this._dtsBaseInited&&this._audioNextDts===void 0,Qn=!1;if(!Ue||Ue.length===0||Ue.length===1&&!Te)return;let wn=0,qn=null,nr=0;fn?(wn=0,nr=Oe.length):(wn=8,nr=8+Oe.length);let fr=null;if(Ue.length>1&&(fr=Ue.pop(),nr-=fr.length),this._audioStashedLastSample!=null){let tr=this._audioStashedLastSample;this._audioStashedLastSample=null,Ue.unshift(tr),nr+=tr.length}fr!=null&&(this._audioStashedLastSample=fr);let mn=Ue[0].dts-this._dtsBase;if(this._audioNextDts)Ye=mn-this._audioNextDts;else if(this._audioSegmentInfoList.isEmpty())Ye=0,this._fillSilentAfterSeek&&!this._videoSegmentInfoList.isEmpty()&&this._audioMeta.originalCodec!=="mp3"&&(Qn=!0);else{let tr=this._audioSegmentInfoList.getLastSampleBefore(mn);if(tr!=null){let ur=mn-(tr.originalDts+tr.duration);ur<=3&&(ur=0);let cr=tr.dts+tr.duration+ur;Ye=mn-cr}else Ye=0}if(Qn){let tr=mn-Ye,ur=this._videoSegmentInfoList.getLastSegmentBefore(mn);if(ur!=null&&ur.beginDts=1?Xn=nn[nn.length-1].duration:Xn=Math.floor(Vt);let Rr=!1,Ja=null;if(Xn>Vt*1.5&&this._audioMeta.codec!=="mp3"&&this._fillAudioTimestampGap&&!oe.safari){Rr=!0;let qa=Math.abs(Xn-Vt),di=Math.ceil(qa/Vt),Qr=pr+Vt;Pe.w(this.TAG,`Large audio timestamp gap detected, may cause AV sync to drift. Silent frames will be generated to avoid unsync. +dts: ${pr+Xn} ms, expected: ${pr+Math.round(Vt)} ms, delta: ${Math.round(qa)} ms, generate: ${di} frames`);let da=Dn.getSilentFrame(this._audioMeta.originalCodec,this._audioMeta.channelCount);da==null&&(Pe.w(this.TAG,`Unable to generate silent frame for ${this._audioMeta.originalCodec} with ${this._audioMeta.channelCount} channels, repeat last frame`),da=cr),Ja=[];for(let sa=0;sa0){let Ra=Ja[Ja.length-1];Ra.duration=$a-Ra.dts}let Fi={dts:$a,pts:$a,cts:0,unit:da,size:da.byteLength,duration:0,originalDts:Ln,flags:{isLeading:0,dependsOn:1,isDependedOn:0,hasRedundancy:0}};Ja.push(Fi),nr+=Fi.size,Qr+=Vt}let Ta=Ja[Ja.length-1];Ta.duration=pr+Xn-Ta.dts,Xn=Math.round(Vt)}nn.push({dts:pr,pts:pr,cts:0,unit:ur.unit,size:ur.unit.byteLength,duration:Xn,originalDts:Ln,flags:{isLeading:0,dependsOn:1,isDependedOn:0,hasRedundancy:0}}),Rr&&nn.push.apply(nn,Ja)}fn?qn=new Uint8Array(nr):(qn=new Uint8Array(nr),qn[0]=nr>>>24&255,qn[1]=nr>>>16&255,qn[2]=nr>>>8&255,qn[3]=nr&255,qn.set(Mt.types.mdat,4));for(let tr=0;tr1&&(wn=Ue.pop(),Qn-=wn.length),this._videoStashedLastSample!=null){let Tn=this._videoStashedLastSample;this._videoStashedLastSample=null,Ue.unshift(Tn),Qn+=Tn.length}wn!=null&&(this._videoStashedLastSample=wn);let qn=Ue[0].dts-this._dtsBase;if(this._videoNextDts)Ye=qn-this._videoNextDts;else if(this._videoSegmentInfoList.isEmpty())Ye=0;else{let Tn=this._videoSegmentInfoList.getLastSampleBefore(qn);if(Tn!=null){let Un=qn-(Tn.originalDts+Tn.duration);Un<=3&&(Un=0);let sr=Tn.dts+Tn.duration+Un;Ye=qn-sr}else Ye=0}let nr=new Vn,fr=[];for(let Tn=0;Tn=1?Ln=fr[fr.length-1].duration:Ln=Math.floor(this._videoMeta.refSampleDuration),Ar){let pr=new Hn(tr,cr,Ln,Un.dts,!0);pr.fileposition=Un.fileposition,nr.appendSyncPoint(pr)}fr.push({dts:tr,pts:cr,cts:ur,units:Un.units,size:Un.length,isKeyframe:Ar,duration:Ln,originalDts:sr,flags:{isLeading:0,dependsOn:Ar?2:1,isDependedOn:Ar?1:0,hasRedundancy:0,isNonSync:Ar?0:1}})}gn=new Uint8Array(Qn),gn[0]=Qn>>>24&255,gn[1]=Qn>>>16&255,gn[2]=Qn>>>8&255,gn[3]=Qn&255,gn.set(Mt.types.mdat,4);for(let Tn=0;Tn{Ue.timestampBase=Oe,Oe+=Ue.duration,Ue.cors=Me.cors,Ue.withCredentials=Me.withCredentials,Te.referrerPolicy&&(Ue.referrerPolicy=Te.referrerPolicy)}),!isNaN(Oe)&&this._mediaDataSource.duration!==Oe&&(this._mediaDataSource.duration=Oe),this._mediaInfo=null,this._demuxer=null,this._remuxer=null,this._ioctl=null,this._pendingSeekTime=null,this._pendingResolveSeekPoint=null,this._statisticsReporter=null}destroy(){this._mediaInfo=null,this._mediaDataSource=null,this._statisticsReporter&&this._disableStatisticsReporter(),this._ioctl&&(this._ioctl.destroy(),this._ioctl=null),this._demuxer&&(this._demuxer.destroy(),this._demuxer=null),this._remuxer&&(this._remuxer.destroy(),this._remuxer=null),this._emitter.removeAllListeners(),this._emitter=null}on(Me,Te){this._emitter.addListener(Me,Te)}off(Me,Te){this._emitter.removeListener(Me,Te)}start(){this._loadSegment(0),this._enableStatisticsReporter()}_loadSegment(Me,Te){this._currentSegmentIndex=Me;let Oe=this._mediaDataSource.segments[Me],Ue=this._ioctl=new qe(Oe,this._config,Me);Ue.onError=this._onIOException.bind(this),Ue.onSeeked=this._onIOSeeked.bind(this),Ue.onComplete=this._onIOComplete.bind(this),Ue.onRedirect=this._onIORedirect.bind(this),Ue.onRecoveredEarlyEof=this._onIORecoveredEarlyEof.bind(this),Te?this._demuxer.bindDataSource(this._ioctl):Ue.onDataArrival=this._onInitChunkArrival.bind(this),Ue.open(Te)}stop(){this._internalAbort(),this._disableStatisticsReporter()}_internalAbort(){this._ioctl&&(this._ioctl.destroy(),this._ioctl=null)}pause(){this._ioctl&&this._ioctl.isWorking()&&(this._ioctl.pause(),this._disableStatisticsReporter())}resume(){this._ioctl&&this._ioctl.isPaused()&&(this._ioctl.resume(),this._enableStatisticsReporter())}seek(Me){if(this._mediaInfo==null||!this._mediaInfo.isSeekable())return;let Te=this._searchSegmentIndexContains(Me);if(Te===this._currentSegmentIndex){let Oe=this._mediaInfo.segments[Te];if(Oe==null)this._pendingSeekTime=Me;else{let Ue=Oe.getNearestKeyframe(Me);this._remuxer.seek(Ue.milliseconds),this._ioctl.seek(Ue.fileposition),this._pendingResolveSeekPoint=Ue.milliseconds}}else{let Oe=this._mediaInfo.segments[Te];if(Oe==null)this._pendingSeekTime=Me,this._internalAbort(),this._remuxer.seek(),this._remuxer.insertDiscontinuity(),this._loadSegment(Te);else{let Ue=Oe.getNearestKeyframe(Me);this._internalAbort(),this._remuxer.seek(Me),this._remuxer.insertDiscontinuity(),this._demuxer.resetMediaInfo(),this._demuxer.timestampBase=this._mediaDataSource.segments[Te].timestampBase,this._loadSegment(Te,Ue.fileposition),this._pendingResolveSeekPoint=Ue.milliseconds,this._reportSegmentMediaInfo(Te)}}this._enableStatisticsReporter()}_searchSegmentIndexContains(Me){let Te=this._mediaDataSource.segments,Oe=Te.length-1;for(let Ue=0;Ue0)this._demuxer.bindDataSource(this._ioctl),this._demuxer.timestampBase=this._mediaDataSource.segments[this._currentSegmentIndex].timestampBase,Ue=this._demuxer.parseChunks(Me,Te);else if((Oe=Xt.probe(Me)).match){this._demuxer=new Xt(Oe,this._config),this._remuxer||(this._remuxer=new vn(this._config));let Ye=this._mediaDataSource;Ye.duration!=null&&!isNaN(Ye.duration)&&(this._demuxer.overridedDuration=Ye.duration),typeof Ye.hasAudio=="boolean"&&(this._demuxer.overridedHasAudio=Ye.hasAudio),typeof Ye.hasVideo=="boolean"&&(this._demuxer.overridedHasVideo=Ye.hasVideo),this._demuxer.timestampBase=Ye.segments[this._currentSegmentIndex].timestampBase,this._demuxer.onError=this._onDemuxException.bind(this),this._demuxer.onMediaInfo=this._onMediaInfo.bind(this),this._demuxer.onMetaDataArrived=this._onMetaDataArrived.bind(this),this._demuxer.onScriptDataArrived=this._onScriptDataArrived.bind(this),this._remuxer.bindDataSource(this._demuxer.bindDataSource(this._ioctl)),this._remuxer.onInitSegment=this._onRemuxerInitSegmentArrival.bind(this),this._remuxer.onMediaSegment=this._onRemuxerMediaSegmentArrival.bind(this),Ue=this._demuxer.parseChunks(Me,Te)}else Oe=null,Pe.e(this.TAG,"Non-FLV, Unsupported media type!"),Promise.resolve().then(()=>{this._internalAbort()}),this._emitter.emit(On.DEMUX_ERROR,It.FORMAT_UNSUPPORTED,"Non-FLV, Unsupported media type"),Ue=0;return Ue}_onMediaInfo(Me){this._mediaInfo==null&&(this._mediaInfo=Object.assign({},Me),this._mediaInfo.keyframesIndex=null,this._mediaInfo.segments=[],this._mediaInfo.segmentCount=this._mediaDataSource.segments.length,Object.setPrototypeOf(this._mediaInfo,Wt.prototype));let Te=Object.assign({},Me);Object.setPrototypeOf(Te,Wt.prototype),this._mediaInfo.segments[this._currentSegmentIndex]=Te,this._reportSegmentMediaInfo(this._currentSegmentIndex),this._pendingSeekTime!=null&&Promise.resolve().then(()=>{let Oe=this._pendingSeekTime;this._pendingSeekTime=null,this.seek(Oe)})}_onMetaDataArrived(Me){this._emitter.emit(On.METADATA_ARRIVED,Me)}_onScriptDataArrived(Me){this._emitter.emit(On.SCRIPTDATA_ARRIVED,Me)}_onIOSeeked(){this._remuxer.insertDiscontinuity()}_onIOComplete(Me){let Oe=Me+1;Oe0&&Oe[0].originalDts===Ue&&(Ue=Oe[0].pts),this._emitter.emit(On.RECOMMEND_SEEKPOINT,Ue)}}_enableStatisticsReporter(){this._statisticsReporter==null&&(this._statisticsReporter=self.setInterval(this._reportStatisticsInfo.bind(this),this._config.statisticsInfoReportInterval))}_disableStatisticsReporter(){this._statisticsReporter&&(self.clearInterval(this._statisticsReporter),this._statisticsReporter=null)}_reportSegmentMediaInfo(Me){let Te=this._mediaInfo.segments[Me],Oe=Object.assign({},Te);Oe.duration=this._mediaInfo.duration,Oe.segmentCount=this._mediaInfo.segmentCount,delete Oe.segments,delete Oe.keyframesIndex,this._emitter.emit(On.MEDIA_INFO,Oe)}_reportStatisticsInfo(){let Me={};Me.url=this._ioctl.currentURL,Me.hasRedirect=this._ioctl.hasRedirect,Me.hasRedirect&&(Me.redirectedURL=this._ioctl.currentRedirectedURL),Me.speed=this._ioctl.currentSpeed,Me.loaderType=this._ioctl.loaderType,Me.currentSegmentIndex=this._currentSegmentIndex,Me.totalSegmentCount=this._mediaDataSource.segments.length,this._emitter.emit(On.STATISTICS_INFO,Me)}}var Gr=xr,Kr=function(bt){let Me="TransmuxingWorker",Te=null,Oe=nr.bind(this);He.install(),bt.addEventListener("message",function(fr){switch(fr.data.cmd){case"init":Te=new Gr(fr.data.param[0],fr.data.param[1]),Te.on(On.IO_ERROR,Qn.bind(this)),Te.on(On.DEMUX_ERROR,wn.bind(this)),Te.on(On.INIT_SEGMENT,Ue.bind(this)),Te.on(On.MEDIA_SEGMENT,Ye.bind(this)),Te.on(On.LOADING_COMPLETE,Et.bind(this)),Te.on(On.RECOVERED_EARLY_EOF,Pt.bind(this)),Te.on(On.MEDIA_INFO,qt.bind(this)),Te.on(On.METADATA_ARRIVED,Vt.bind(this)),Te.on(On.SCRIPTDATA_ARRIVED,fn.bind(this)),Te.on(On.STATISTICS_INFO,gn.bind(this)),Te.on(On.RECOMMEND_SEEKPOINT,qn.bind(this));break;case"destroy":Te&&(Te.destroy(),Te=null),bt.postMessage({msg:"destroyed"});break;case"start":Te.start();break;case"stop":Te.stop();break;case"seek":Te.seek(fr.data.param);break;case"pause":Te.pause();break;case"resume":Te.resume();break;case"logging_config":{let mn=fr.data.param;ht.applyConfig(mn),mn.enableCallback===!0?ht.addLogListener(Oe):ht.removeLogListener(Oe);break}}});function Ue(fr,mn){let nn={msg:On.INIT_SEGMENT,data:{type:fr,data:mn}};bt.postMessage(nn,[mn.data])}function Ye(fr,mn){let nn={msg:On.MEDIA_SEGMENT,data:{type:fr,data:mn}};bt.postMessage(nn,[mn.data])}function Et(){let fr={msg:On.LOADING_COMPLETE};bt.postMessage(fr)}function Pt(){let fr={msg:On.RECOVERED_EARLY_EOF};bt.postMessage(fr)}function qt(fr){let mn={msg:On.MEDIA_INFO,data:fr};bt.postMessage(mn)}function Vt(fr){let mn={msg:On.METADATA_ARRIVED,data:fr};bt.postMessage(mn)}function fn(fr){let mn={msg:On.SCRIPTDATA_ARRIVED,data:fr};bt.postMessage(mn)}function gn(fr){let mn={msg:On.STATISTICS_INFO,data:fr};bt.postMessage(mn)}function Qn(fr,mn){bt.postMessage({msg:On.IO_ERROR,data:{type:fr,info:mn}})}function wn(fr,mn){bt.postMessage({msg:On.DEMUX_ERROR,data:{type:fr,info:mn}})}function qn(fr){bt.postMessage({msg:On.RECOMMEND_SEEKPOINT,data:fr})}function nr(fr,mn){bt.postMessage({msg:"logcat_callback",data:{type:fr,logcat:mn}})}};class Da{constructor(Me,Te){if(this.TAG="Transmuxer",this._emitter=new(Ce()),Te.enableWorker&&typeof Worker!="undefined")try{let Oe=Ie(82059);this._worker=Oe(Kr),this._workerDestroying=!1,this._worker.addEventListener("message",this._onWorkerMessage.bind(this)),this._worker.postMessage({cmd:"init",param:[Me,Te]}),this.e={onLoggingConfigChanged:this._onLoggingConfigChanged.bind(this)},ht.registerListener(this.e.onLoggingConfigChanged),this._worker.postMessage({cmd:"logging_config",param:ht.getConfig()})}catch(Oe){Pe.e(this.TAG,"Error while initialize transmuxing worker, fallback to inline transmuxing"),this._worker=null,this._controller=new Gr(Me,Te)}else this._controller=new Gr(Me,Te);if(this._controller){let Oe=this._controller;Oe.on(On.IO_ERROR,this._onIOError.bind(this)),Oe.on(On.DEMUX_ERROR,this._onDemuxError.bind(this)),Oe.on(On.INIT_SEGMENT,this._onInitSegment.bind(this)),Oe.on(On.MEDIA_SEGMENT,this._onMediaSegment.bind(this)),Oe.on(On.LOADING_COMPLETE,this._onLoadingComplete.bind(this)),Oe.on(On.RECOVERED_EARLY_EOF,this._onRecoveredEarlyEof.bind(this)),Oe.on(On.MEDIA_INFO,this._onMediaInfo.bind(this)),Oe.on(On.METADATA_ARRIVED,this._onMetaDataArrived.bind(this)),Oe.on(On.SCRIPTDATA_ARRIVED,this._onScriptDataArrived.bind(this)),Oe.on(On.STATISTICS_INFO,this._onStatisticsInfo.bind(this)),Oe.on(On.RECOMMEND_SEEKPOINT,this._onRecommendSeekpoint.bind(this))}}destroy(){this._worker?this._workerDestroying||(this._workerDestroying=!0,this._worker.postMessage({cmd:"destroy"}),ht.removeListener(this.e.onLoggingConfigChanged),this.e=null):(this._controller.destroy(),this._controller=null),this._emitter.removeAllListeners(),this._emitter=null}on(Me,Te){this._emitter.addListener(Me,Te)}off(Me,Te){this._emitter.removeListener(Me,Te)}hasWorker(){return this._worker!=null}open(){this._worker?this._worker.postMessage({cmd:"start"}):this._controller.start()}close(){this._worker?this._worker.postMessage({cmd:"stop"}):this._controller.stop()}seek(Me){this._worker?this._worker.postMessage({cmd:"seek",param:Me}):this._controller.seek(Me)}pause(){this._worker?this._worker.postMessage({cmd:"pause"}):this._controller.pause()}resume(){this._worker?this._worker.postMessage({cmd:"resume"}):this._controller.resume()}_onInitSegment(Me,Te){Promise.resolve().then(()=>{this._emitter.emit(On.INIT_SEGMENT,Me,Te)})}_onMediaSegment(Me,Te){Promise.resolve().then(()=>{this._emitter.emit(On.MEDIA_SEGMENT,Me,Te)})}_onLoadingComplete(){Promise.resolve().then(()=>{this._emitter.emit(On.LOADING_COMPLETE)})}_onRecoveredEarlyEof(){Promise.resolve().then(()=>{this._emitter.emit(On.RECOVERED_EARLY_EOF)})}_onMediaInfo(Me){Promise.resolve().then(()=>{this._emitter.emit(On.MEDIA_INFO,Me)})}_onMetaDataArrived(Me){Promise.resolve().then(()=>{this._emitter.emit(On.METADATA_ARRIVED,Me)})}_onScriptDataArrived(Me){Promise.resolve().then(()=>{this._emitter.emit(On.SCRIPTDATA_ARRIVED,Me)})}_onStatisticsInfo(Me){Promise.resolve().then(()=>{this._emitter.emit(On.STATISTICS_INFO,Me)})}_onIOError(Me,Te){Promise.resolve().then(()=>{this._emitter.emit(On.IO_ERROR,Me,Te)})}_onDemuxError(Me,Te){Promise.resolve().then(()=>{this._emitter.emit(On.DEMUX_ERROR,Me,Te)})}_onRecommendSeekpoint(Me){Promise.resolve().then(()=>{this._emitter.emit(On.RECOMMEND_SEEKPOINT,Me)})}_onLoggingConfigChanged(Me){this._worker&&this._worker.postMessage({cmd:"logging_config",param:Me})}_onWorkerMessage(Me){let Te=Me.data,Oe=Te.data;if(Te.msg==="destroyed"||this._workerDestroying){this._workerDestroying=!1,this._worker.terminate(),this._worker=null;return}switch(Te.msg){case On.INIT_SEGMENT:case On.MEDIA_SEGMENT:this._emitter.emit(Te.msg,Oe.type,Oe.data);break;case On.LOADING_COMPLETE:case On.RECOVERED_EARLY_EOF:this._emitter.emit(Te.msg);break;case On.MEDIA_INFO:Object.setPrototypeOf(Oe,Wt.prototype),this._emitter.emit(Te.msg,Oe);break;case On.METADATA_ARRIVED:case On.SCRIPTDATA_ARRIVED:case On.STATISTICS_INFO:this._emitter.emit(Te.msg,Oe);break;case On.IO_ERROR:case On.DEMUX_ERROR:this._emitter.emit(Te.msg,Oe.type,Oe.info);break;case On.RECOMMEND_SEEKPOINT:this._emitter.emit(Te.msg,Oe);break;case"logcat_callback":Pe.emitter.emit("log",Oe.type,Oe.logcat);break;default:break}}}var Qa=Da,Ia={ERROR:"error",SOURCE_OPEN:"source_open",UPDATE_END:"update_end",BUFFER_FULL:"buffer_full"};class wi{constructor(Me){this.TAG="MSEController",this._config=Me,this._emitter=new(Ce()),this._config.isLive&&this._config.autoCleanupSourceBuffer==null&&(this._config.autoCleanupSourceBuffer=!0),this.e={onSourceOpen:this._onSourceOpen.bind(this),onSourceEnded:this._onSourceEnded.bind(this),onSourceClose:this._onSourceClose.bind(this),onSourceBufferError:this._onSourceBufferError.bind(this),onSourceBufferUpdateEnd:this._onSourceBufferUpdateEnd.bind(this)},this._mediaSource=null,this._mediaSourceObjectURL=null,this._mediaElement=null,this._isBufferFull=!1,this._hasPendingEos=!1,this._requireSetMediaDuration=!1,this._pendingMediaDuration=0,this._pendingSourceBufferInit=[],this._mimeTypes={video:null,audio:null},this._sourceBuffers={video:null,audio:null},this._lastInitSegments={video:null,audio:null},this._pendingSegments={video:[],audio:[]},this._pendingRemoveRanges={video:[],audio:[]},this._idrList=new Kn}destroy(){(this._mediaElement||this._mediaSource)&&this.detachMediaElement(),this.e=null,this._emitter.removeAllListeners(),this._emitter=null}on(Me,Te){this._emitter.addListener(Me,Te)}off(Me,Te){this._emitter.removeListener(Me,Te)}attachMediaElement(Me){if(this._mediaSource)throw new we("MediaSource has been attached to an HTMLMediaElement!");let Te=this._mediaSource=new window.MediaSource;Te.addEventListener("sourceopen",this.e.onSourceOpen),Te.addEventListener("sourceended",this.e.onSourceEnded),Te.addEventListener("sourceclose",this.e.onSourceClose),this._mediaElement=Me,this._mediaSourceObjectURL=window.URL.createObjectURL(this._mediaSource),Me.src=this._mediaSourceObjectURL}detachMediaElement(){if(this._mediaSource){let Me=this._mediaSource;for(let Te in this._sourceBuffers){let Oe=this._pendingSegments[Te];Oe.splice(0,Oe.length),this._pendingSegments[Te]=null,this._pendingRemoveRanges[Te]=null,this._lastInitSegments[Te]=null;let Ue=this._sourceBuffers[Te];if(Ue){if(Me.readyState!=="closed"){try{Me.removeSourceBuffer(Ue)}catch(Ye){Pe.e(this.TAG,Ye.message)}Ue.removeEventListener("error",this.e.onSourceBufferError),Ue.removeEventListener("updateend",this.e.onSourceBufferUpdateEnd)}this._mimeTypes[Te]=null,this._sourceBuffers[Te]=null}}if(Me.readyState==="open")try{Me.endOfStream()}catch(Te){Pe.e(this.TAG,Te.message)}Me.removeEventListener("sourceopen",this.e.onSourceOpen),Me.removeEventListener("sourceended",this.e.onSourceEnded),Me.removeEventListener("sourceclose",this.e.onSourceClose),this._pendingSourceBufferInit=[],this._isBufferFull=!1,this._idrList.clear(),this._mediaSource=null}this._mediaElement&&(this._mediaElement.src="",this._mediaElement.removeAttribute("src"),this._mediaElement=null),this._mediaSourceObjectURL&&(window.URL.revokeObjectURL(this._mediaSourceObjectURL),this._mediaSourceObjectURL=null)}appendInitSegment(Me,Te){if(!this._mediaSource||this._mediaSource.readyState!=="open"){this._pendingSourceBufferInit.push(Me),this._pendingSegments[Me.type].push(Me);return}let Oe=Me,Ue=`${Oe.container}`;Oe.codec&&Oe.codec.length>0&&(Ue+=`;codecs=${Oe.codec}`);let Ye=!1;if(Pe.v(this.TAG,"Received Initialization Segment, mimeType: "+Ue),this._lastInitSegments[Oe.type]=Oe,Ue!==this._mimeTypes[Oe.type]){if(this._mimeTypes[Oe.type])Pe.v(this.TAG,`Notice: ${Oe.type} mimeType changed, origin: ${this._mimeTypes[Oe.type]}, target: ${Ue}`);else{Ye=!0;try{let Et=this._sourceBuffers[Oe.type]=this._mediaSource.addSourceBuffer(Ue);Et.addEventListener("error",this.e.onSourceBufferError),Et.addEventListener("updateend",this.e.onSourceBufferUpdateEnd)}catch(Et){Pe.e(this.TAG,Et.message),this._emitter.emit(Ia.ERROR,{code:Et.code,msg:Et.message});return}}this._mimeTypes[Oe.type]=Ue}Te||this._pendingSegments[Oe.type].push(Oe),Ye||this._sourceBuffers[Oe.type]&&!this._sourceBuffers[Oe.type].updating&&this._doAppendSegments(),oe.safari&&Oe.container==="audio/mpeg"&&Oe.mediaDuration>0&&(this._requireSetMediaDuration=!0,this._pendingMediaDuration=Oe.mediaDuration/1e3,this._updateMediaSourceDuration())}appendMediaSegment(Me){let Te=Me;this._pendingSegments[Te.type].push(Te),this._config.autoCleanupSourceBuffer&&this._needCleanupSourceBuffer()&&this._doCleanupSourceBuffer();let Oe=this._sourceBuffers[Te.type];Oe&&!Oe.updating&&!this._hasPendingRemoveRanges()&&this._doAppendSegments()}seek(Me){for(let Te in this._sourceBuffers){if(!this._sourceBuffers[Te])continue;let Oe=this._sourceBuffers[Te];if(this._mediaSource.readyState==="open")try{Oe.abort()}catch(Ye){Pe.e(this.TAG,Ye.message)}this._idrList.clear();let Ue=this._pendingSegments[Te];if(Ue.splice(0,Ue.length),this._mediaSource.readyState!=="closed"){for(let Ye=0;Ye=1&&Me-Ue.start(0)>=this._config.autoCleanupMaxBackwardDuration)return!0}}return!1}_doCleanupSourceBuffer(){let Me=this._mediaElement.currentTime;for(let Te in this._sourceBuffers){let Oe=this._sourceBuffers[Te];if(Oe){let Ue=Oe.buffered,Ye=!1;for(let Et=0;Et=this._config.autoCleanupMaxBackwardDuration){Ye=!0;let Vt=Me-this._config.autoCleanupMinBackwardDuration;this._pendingRemoveRanges[Te].push({start:Pt,end:Vt})}}else qt0&&(isNaN(Te)||Oe>Te)&&(Pe.v(this.TAG,`Update MediaSource duration from ${Te} to ${Oe}`),this._mediaSource.duration=Oe),this._requireSetMediaDuration=!1,this._pendingMediaDuration=0}_doRemoveRanges(){for(let Me in this._pendingRemoveRanges){if(!this._sourceBuffers[Me]||this._sourceBuffers[Me].updating)continue;let Te=this._sourceBuffers[Me],Oe=this._pendingRemoveRanges[Me];for(;Oe.length&&!Te.updating;){let Ue=Oe.shift();Te.remove(Ue.start,Ue.end)}}}_doAppendSegments(){let Me=this._pendingSegments;for(let Te in Me)if(!(!this._sourceBuffers[Te]||this._sourceBuffers[Te].updating)&&Me[Te].length>0){let Oe=Me[Te].shift();if(Oe.timestampOffset){let Ue=this._sourceBuffers[Te].timestampOffset,Ye=Oe.timestampOffset/1e3;Math.abs(Ue-Ye)>.1&&(Pe.v(this.TAG,`Update MPEG audio timestampOffset from ${Ue} to ${Ye}`),this._sourceBuffers[Te].timestampOffset=Ye),delete Oe.timestampOffset}if(!Oe.data||Oe.data.byteLength===0)continue;try{this._sourceBuffers[Te].appendBuffer(Oe.data),this._isBufferFull=!1,Te==="video"&&Oe.hasOwnProperty("info")&&this._idrList.appendArray(Oe.info.syncPoints)}catch(Ue){this._pendingSegments[Te].unshift(Oe),Ue.code===22?(this._isBufferFull||this._emitter.emit(Ia.BUFFER_FULL),this._isBufferFull=!0):(Pe.e(this.TAG,Ue.message),this._emitter.emit(Ia.ERROR,{code:Ue.code,msg:Ue.message}))}}}_onSourceOpen(){if(Pe.v(this.TAG,"MediaSource onSourceOpen"),this._mediaSource.removeEventListener("sourceopen",this.e.onSourceOpen),this._pendingSourceBufferInit.length>0){let Me=this._pendingSourceBufferInit;for(;Me.length;){let Te=Me.shift();this.appendInitSegment(Te,!0)}}this._hasPendingSegments()&&this._doAppendSegments(),this._emitter.emit(Ia.SOURCE_OPEN)}_onSourceEnded(){Pe.v(this.TAG,"MediaSource onSourceEnded")}_onSourceClose(){Pe.v(this.TAG,"MediaSource onSourceClose"),this._mediaSource&&this.e!=null&&(this._mediaSource.removeEventListener("sourceopen",this.e.onSourceOpen),this._mediaSource.removeEventListener("sourceended",this.e.onSourceEnded),this._mediaSource.removeEventListener("sourceclose",this.e.onSourceClose))}_hasPendingSegments(){let Me=this._pendingSegments;return Me.video.length>0||Me.audio.length>0}_hasPendingRemoveRanges(){let Me=this._pendingRemoveRanges;return Me.video.length>0||Me.audio.length>0}_onSourceBufferUpdateEnd(){this._requireSetMediaDuration?this._updateMediaSourceDuration():this._hasPendingRemoveRanges()?this._doRemoveRanges():this._hasPendingSegments()?this._doAppendSegments():this._hasPendingEos&&this.endOfStream(),this._emitter.emit(Ia.UPDATE_END)}_onSourceBufferError(Me){Pe.e(this.TAG,`SourceBuffer Error: ${Me}`)}}var bi=wi;const Zr={NETWORK_ERROR:"NetworkError",MEDIA_ERROR:"MediaError",OTHER_ERROR:"OtherError"},Za={NETWORK_EXCEPTION:ce.EXCEPTION,NETWORK_STATUS_CODE_INVALID:ce.HTTP_STATUS_CODE_INVALID,NETWORK_TIMEOUT:ce.CONNECTING_TIMEOUT,NETWORK_UNRECOVERABLE_EARLY_EOF:ce.UNRECOVERABLE_EARLY_EOF,MEDIA_MSE_ERROR:"MediaMSEError",MEDIA_FORMAT_ERROR:It.FORMAT_ERROR,MEDIA_FORMAT_UNSUPPORTED:It.FORMAT_UNSUPPORTED,MEDIA_CODEC_UNSUPPORTED:It.CODEC_UNSUPPORTED};class li{constructor(Me,Te){if(this.TAG="FlvPlayer",this._type="FlvPlayer",this._emitter=new(Ce()),this._config=it(),typeof Te=="object"&&Object.assign(this._config,Te),Me.type.toLowerCase()!=="flv")throw new pe("FlvPlayer requires an flv MediaDataSource input!");Me.isLive===!0&&(this._config.isLive=!0),this.e={onvLoadedMetadata:this._onvLoadedMetadata.bind(this),onvSeeking:this._onvSeeking.bind(this),onvCanPlay:this._onvCanPlay.bind(this),onvStalled:this._onvStalled.bind(this),onvProgress:this._onvProgress.bind(this)},self.performance&&self.performance.now?this._now=self.performance.now.bind(self.performance):this._now=Date.now,this._pendingSeekTime=null,this._requestSetTime=!1,this._seekpointRecord=null,this._progressChecker=null,this._mediaDataSource=Me,this._mediaElement=null,this._msectl=null,this._transmuxer=null,this._mseSourceOpened=!1,this._hasPendingLoad=!1,this._receivedCanPlay=!1,this._mediaInfo=null,this._statisticsInfo=null;let Oe=oe.chrome&&(oe.version.major<50||oe.version.major===50&&oe.version.build<2661);this._alwaysSeekKeyframe=!!(Oe||oe.msedge||oe.msie),this._alwaysSeekKeyframe&&(this._config.accurateSeek=!1)}destroy(){this._progressChecker!=null&&(window.clearInterval(this._progressChecker),this._progressChecker=null),this._transmuxer&&this.unload(),this._mediaElement&&this.detachMediaElement(),this.e=null,this._mediaDataSource=null,this._emitter.removeAllListeners(),this._emitter=null}on(Me,Te){Me===yt.MEDIA_INFO?this._mediaInfo!=null&&Promise.resolve().then(()=>{this._emitter.emit(yt.MEDIA_INFO,this.mediaInfo)}):Me===yt.STATISTICS_INFO&&this._statisticsInfo!=null&&Promise.resolve().then(()=>{this._emitter.emit(yt.STATISTICS_INFO,this.statisticsInfo)}),this._emitter.addListener(Me,Te)}off(Me,Te){this._emitter.removeListener(Me,Te)}attachMediaElement(Me){if(this._mediaElement=Me,Me.addEventListener("loadedmetadata",this.e.onvLoadedMetadata),Me.addEventListener("seeking",this.e.onvSeeking),Me.addEventListener("canplay",this.e.onvCanPlay),Me.addEventListener("stalled",this.e.onvStalled),Me.addEventListener("progress",this.e.onvProgress),this._msectl=new bi(this._config),this._msectl.on(Ia.UPDATE_END,this._onmseUpdateEnd.bind(this)),this._msectl.on(Ia.BUFFER_FULL,this._onmseBufferFull.bind(this)),this._msectl.on(Ia.SOURCE_OPEN,()=>{this._mseSourceOpened=!0,this._hasPendingLoad&&(this._hasPendingLoad=!1,this.load())}),this._msectl.on(Ia.ERROR,Te=>{this._emitter.emit(yt.ERROR,Zr.MEDIA_ERROR,Za.MEDIA_MSE_ERROR,Te)}),this._msectl.attachMediaElement(Me),this._pendingSeekTime!=null)try{Me.currentTime=this._pendingSeekTime,this._pendingSeekTime=null}catch(Te){}}detachMediaElement(){this._mediaElement&&(this._msectl.detachMediaElement(),this._mediaElement.removeEventListener("loadedmetadata",this.e.onvLoadedMetadata),this._mediaElement.removeEventListener("seeking",this.e.onvSeeking),this._mediaElement.removeEventListener("canplay",this.e.onvCanPlay),this._mediaElement.removeEventListener("stalled",this.e.onvStalled),this._mediaElement.removeEventListener("progress",this.e.onvProgress),this._mediaElement=null),this._msectl&&(this._msectl.destroy(),this._msectl=null)}load(){if(!this._mediaElement)throw new we("HTMLMediaElement must be attached before load()!");if(this._transmuxer)throw new we("FlvPlayer.load() has been called, please call unload() first!");if(!this._hasPendingLoad){if(this._config.deferLoadAfterSourceOpen&&this._mseSourceOpened===!1){this._hasPendingLoad=!0;return}this._mediaElement.readyState>0&&(this._requestSetTime=!0,this._mediaElement.currentTime=0),this._transmuxer=new Qa(this._mediaDataSource,this._config),this._transmuxer.on(On.INIT_SEGMENT,(Me,Te)=>{this._msectl.appendInitSegment(Te)}),this._transmuxer.on(On.MEDIA_SEGMENT,(Me,Te)=>{if(this._msectl.appendMediaSegment(Te),this._config.lazyLoad&&!this._config.isLive){let Oe=this._mediaElement.currentTime;Te.info.endDts>=(Oe+this._config.lazyLoadMaxDuration)*1e3&&this._progressChecker==null&&(Pe.v(this.TAG,"Maximum buffering duration exceeded, suspend transmuxing task"),this._suspendTransmuxer())}}),this._transmuxer.on(On.LOADING_COMPLETE,()=>{this._msectl.endOfStream(),this._emitter.emit(yt.LOADING_COMPLETE)}),this._transmuxer.on(On.RECOVERED_EARLY_EOF,()=>{this._emitter.emit(yt.RECOVERED_EARLY_EOF)}),this._transmuxer.on(On.IO_ERROR,(Me,Te)=>{this._emitter.emit(yt.ERROR,Zr.NETWORK_ERROR,Me,Te)}),this._transmuxer.on(On.DEMUX_ERROR,(Me,Te)=>{this._emitter.emit(yt.ERROR,Zr.MEDIA_ERROR,Me,{code:-1,msg:Te})}),this._transmuxer.on(On.MEDIA_INFO,Me=>{this._mediaInfo=Me,this._emitter.emit(yt.MEDIA_INFO,Object.assign({},Me))}),this._transmuxer.on(On.METADATA_ARRIVED,Me=>{this._emitter.emit(yt.METADATA_ARRIVED,Me)}),this._transmuxer.on(On.SCRIPTDATA_ARRIVED,Me=>{this._emitter.emit(yt.SCRIPTDATA_ARRIVED,Me)}),this._transmuxer.on(On.STATISTICS_INFO,Me=>{this._statisticsInfo=this._fillStatisticsInfo(Me),this._emitter.emit(yt.STATISTICS_INFO,Object.assign({},this._statisticsInfo))}),this._transmuxer.on(On.RECOMMEND_SEEKPOINT,Me=>{this._mediaElement&&!this._config.accurateSeek&&(this._requestSetTime=!0,this._mediaElement.currentTime=Me/1e3)}),this._transmuxer.open()}}unload(){this._mediaElement&&this._mediaElement.pause(),this._msectl&&this._msectl.seek(0),this._transmuxer&&(this._transmuxer.close(),this._transmuxer.destroy(),this._transmuxer=null)}play(){return this._mediaElement.play()}pause(){this._mediaElement.pause()}get type(){return this._type}get buffered(){return this._mediaElement.buffered}get duration(){return this._mediaElement.duration}get volume(){return this._mediaElement.volume}set volume(Me){this._mediaElement.volume=Me}get muted(){return this._mediaElement.muted}set muted(Me){this._mediaElement.muted=Me}get currentTime(){return this._mediaElement?this._mediaElement.currentTime:0}set currentTime(Me){this._mediaElement?this._internalSeek(Me):this._pendingSeekTime=Me}get mediaInfo(){return Object.assign({},this._mediaInfo)}get statisticsInfo(){return this._statisticsInfo==null&&(this._statisticsInfo={}),this._statisticsInfo=this._fillStatisticsInfo(this._statisticsInfo),Object.assign({},this._statisticsInfo)}_fillStatisticsInfo(Me){if(Me.playerType=this._type,!(this._mediaElement instanceof HTMLVideoElement))return Me;let Te=!0,Oe=0,Ue=0;if(this._mediaElement.getVideoPlaybackQuality){let Ye=this._mediaElement.getVideoPlaybackQuality();Oe=Ye.totalVideoFrames,Ue=Ye.droppedVideoFrames}else this._mediaElement.webkitDecodedFrameCount!=null?(Oe=this._mediaElement.webkitDecodedFrameCount,Ue=this._mediaElement.webkitDroppedFrameCount):Te=!1;return Te&&(Me.decodedFrames=Oe,Me.droppedFrames=Ue),Me}_onmseUpdateEnd(){if(!this._config.lazyLoad||this._config.isLive)return;let Me=this._mediaElement.buffered,Te=this._mediaElement.currentTime,Oe=0,Ue=0;for(let Ye=0;Ye=Te+this._config.lazyLoadMaxDuration&&this._progressChecker==null&&(Pe.v(this.TAG,"Maximum buffering duration exceeded, suspend transmuxing task"),this._suspendTransmuxer())}_onmseBufferFull(){Pe.v(this.TAG,"MSE SourceBuffer is full, suspend transmuxing task"),this._progressChecker==null&&this._suspendTransmuxer()}_suspendTransmuxer(){this._transmuxer&&(this._transmuxer.pause(),this._progressChecker==null&&(this._progressChecker=window.setInterval(this._checkProgressAndResume.bind(this),1e3)))}_checkProgressAndResume(){let Me=this._mediaElement.currentTime,Te=this._mediaElement.buffered,Oe=!1;for(let Ue=0;Ue=Ye&&Me=Et-this._config.lazyLoadRecoverDuration&&(Oe=!0);break}}Oe&&(window.clearInterval(this._progressChecker),this._progressChecker=null,Oe&&(Pe.v(this.TAG,"Continue loading from paused position"),this._transmuxer.resume()))}_isTimepointBuffered(Me){let Te=this._mediaElement.buffered;for(let Oe=0;Oe=Ue&&Me0){let Ye=this._mediaElement.buffered.start(0);(Ye<1&&Me0&&Te.currentTime0){let Ue=Oe.start(0);if(Ue<1&&Te{this._emitter.emit(yt.MEDIA_INFO,this.mediaInfo)}):Me===yt.STATISTICS_INFO&&this._mediaElement!=null&&this._mediaElement.readyState!==0&&Promise.resolve().then(()=>{this._emitter.emit(yt.STATISTICS_INFO,this.statisticsInfo)}),this._emitter.addListener(Me,Te)}off(Me,Te){this._emitter.removeListener(Me,Te)}attachMediaElement(Me){if(this._mediaElement=Me,Me.addEventListener("loadedmetadata",this.e.onvLoadedMetadata),this._pendingSeekTime!=null)try{Me.currentTime=this._pendingSeekTime,this._pendingSeekTime=null}catch(Te){}}detachMediaElement(){this._mediaElement&&(this._mediaElement.src="",this._mediaElement.removeAttribute("src"),this._mediaElement.removeEventListener("loadedmetadata",this.e.onvLoadedMetadata),this._mediaElement=null),this._statisticsReporter!=null&&(window.clearInterval(this._statisticsReporter),this._statisticsReporter=null)}load(){if(!this._mediaElement)throw new we("HTMLMediaElement must be attached before load()!");this._mediaElement.src=this._mediaDataSource.url,this._mediaElement.readyState>0&&(this._mediaElement.currentTime=0),this._mediaElement.preload="auto",this._mediaElement.load(),this._statisticsReporter=window.setInterval(this._reportStatisticsInfo.bind(this),this._config.statisticsInfoReportInterval)}unload(){this._mediaElement&&(this._mediaElement.src="",this._mediaElement.removeAttribute("src")),this._statisticsReporter!=null&&(window.clearInterval(this._statisticsReporter),this._statisticsReporter=null)}play(){return this._mediaElement.play()}pause(){this._mediaElement.pause()}get type(){return this._type}get buffered(){return this._mediaElement.buffered}get duration(){return this._mediaElement.duration}get volume(){return this._mediaElement.volume}set volume(Me){this._mediaElement.volume=Me}get muted(){return this._mediaElement.muted}set muted(Me){this._mediaElement.muted=Me}get currentTime(){return this._mediaElement?this._mediaElement.currentTime:0}set currentTime(Me){this._mediaElement?this._mediaElement.currentTime=Me:this._pendingSeekTime=Me}get mediaInfo(){let Te={mimeType:(this._mediaElement instanceof HTMLAudioElement?"audio/":"video/")+this._mediaDataSource.type};return this._mediaElement&&(Te.duration=Math.floor(this._mediaElement.duration*1e3),this._mediaElement instanceof HTMLVideoElement&&(Te.width=this._mediaElement.videoWidth,Te.height=this._mediaElement.videoHeight)),Te}get statisticsInfo(){let Me={playerType:this._type,url:this._mediaDataSource.url};if(!(this._mediaElement instanceof HTMLVideoElement))return Me;let Te=!0,Oe=0,Ue=0;if(this._mediaElement.getVideoPlaybackQuality){let Ye=this._mediaElement.getVideoPlaybackQuality();Oe=Ye.totalVideoFrames,Ue=Ye.droppedVideoFrames}else this._mediaElement.webkitDecodedFrameCount!=null?(Oe=this._mediaElement.webkitDecodedFrameCount,Ue=this._mediaElement.webkitDroppedFrameCount):Te=!1;return Te&&(Me.decodedFrames=Oe,Me.droppedFrames=Ue),Me}_onvLoadedMetadata(Me){this._pendingSeekTime!=null&&(this._mediaElement.currentTime=this._pendingSeekTime,this._pendingSeekTime=null),this._emitter.emit(yt.MEDIA_INFO,this.mediaInfo)}_reportStatisticsInfo(){this._emitter.emit(yt.STATISTICS_INFO,this.statisticsInfo)}}var ci=yr;He.install();function kn(bt,Me){let Te=bt;if(Te==null||typeof Te!="object")throw new pe("MediaDataSource must be an javascript object!");if(!Te.hasOwnProperty("type"))throw new pe("MediaDataSource must has type field to indicate video file type!");switch(Te.type){case"flv":return new Er(Te,Me);default:return new ci(Te,Me)}}function hr(){return rt.supportMSEH264Playback()}function Fr(){return rt.getFeatureList()}let Ur={};Ur.createPlayer=kn,Ur.isSupported=hr,Ur.getFeatureList=Fr,Ur.BaseLoader=te,Ur.LoaderStatus=Se,Ur.LoaderErrors=ce,Ur.Events=yt,Ur.ErrorTypes=Zr,Ur.ErrorDetails=Za,Ur.FlvPlayer=Er,Ur.NativePlayer=ci,Ur.LoggingControl=ht,Object.defineProperty(Ur,"version",{enumerable:!0,get:function(){return"__VERSION__"}});var ca=Ur},81254:function(xt,Ot,Ie){"use strict";var Be,He=Object.defineProperty,Fe=bt=>{throw TypeError(bt)},Ce=Math.pow,_e=(bt,Me,Te)=>Me in bt?He(bt,Me,{enumerable:!0,configurable:!0,writable:!0,value:Te}):bt[Me]=Te,Pe=(bt,Me,Te)=>_e(bt,typeof Me!="symbol"?Me+"":Me,Te),ge=(bt,Me,Te)=>Me.has(bt)||Fe("Cannot "+Te),Ee=(bt,Me,Te)=>(ge(bt,Me,"read from private field"),Te?Te.call(bt):Me.get(bt)),be=(bt,Me,Te)=>Me.has(bt)?Fe("Cannot add the same private member more than once"):Me instanceof WeakSet?Me.add(bt):Me.set(bt,Te),we=(bt,Me,Te,Oe)=>(ge(bt,Me,"write to private field"),Oe?Oe.call(bt,Te):Me.set(bt,Te),Te),pe=(bt,Me,Te)=>(ge(bt,Me,"access private 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Te=="number"?this.addS(Te):this.addM(Te)},bt.prototype.addS=function(Te){for(let We=0;We>Te);return this},bt.prototype.signPropagatingRightShiftM=function(Te){if(Te=Me.checkMatrix(Te),this.rows!==Te.rows||this.columns!==Te.columns)throw new RangeError("Matrices dimensions must be equal");for(let We=0;We>Te.get(We,Ye));return this},bt.signPropagatingRightShift=function(Te,We){return new Me(Te).signPropagatingRightShift(We)},bt.prototype.rightShift=function(Te){return typeof Te=="number"?this.rightShiftS(Te):this.rightShiftM(Te)},bt.prototype.rightShiftS=function(Te){for(let We=0;We>>Te);return this},bt.prototype.rightShiftM=function(Te){if(Te=Me.checkMatrix(Te),this.rows!==Te.rows||this.columns!==Te.columns)throw new RangeError("Matrices dimensions must be equal");for(let We=0;We>>Te.get(We,Ye));return this},bt.rightShift=function(Te,We){return new Me(Te).rightShift(We)},bt.prototype.zeroFillRightShift=bt.prototype.rightShift,bt.prototype.zeroFillRightShiftS=bt.prototype.rightShiftS,bt.prototype.zeroFillRightShiftM=bt.prototype.rightShiftM,bt.zeroFillRightShift=bt.rightShift,bt.prototype.not=function(){for(let Te=0;TeTe)throw new RangeError("Row index out of range")}function Re(bt,Me,Oe){let Te=Oe?bt.columns:bt.columns-1;if(Me<0||Me>Te)throw new RangeError("Column index out of range")}function Ne(bt,Me){if(Me.to1DArray&&(Me=Me.to1DArray()),Me.length!==bt.columns)throw new RangeError("vector size must be the same as the number of columns");return Me}function Ue(bt,Me){if(Me.to1DArray&&(Me=Me.to1DArray()),Me.length!==bt.rows)throw new RangeError("vector size must be the same as the number of rows");return Me}function Ge(bt,Me){if(!te.isAnyArray(Me))throw new TypeError("row indices must be an array");for(let Oe=0;Oe=bt.rows)throw new RangeError("row indices are out of range")}function Xe(bt,Me){if(!te.isAnyArray(Me))throw new TypeError("column indices must be an array");for(let Oe=0;Oe=bt.columns)throw new RangeError("column indices are out of range")}function Qe(bt,Me,Oe,Te,We){if(arguments.length!==5)throw new RangeError("expected 4 arguments");if($e("startRow",Me),$e("endRow",Oe),$e("startColumn",Te),$e("endColumn",We),Me>Oe||Te>We||Me<0||Me>=bt.rows||Oe<0||Oe>=bt.rows||Te<0||Te>=bt.columns||We<0||We>=bt.columns)throw new RangeError("Submatrix indices are out of range")}function nt(bt,Me=0){let Oe=[];for(let Te=0;Te=Ye)throw new RangeError("min must be smaller than max");let Pt=Ye-We,qt=new St(Me,Oe);for(let Vt=0;VtTe?(Ye=!0,Te=Oe):(We=!1,Ye=!0);Me++}return We}isReducedEchelonForm(){let Me=0,Oe=0,Te=-1,We=!0,Ye=!1;for(;MeTe?(Ye=!0,Te=Oe):(We=!1,Ye=!0);for(let Et=Oe+1;EtMe.get(We,Te)&&(We=Ye);if(Me.get(We,Te)===0)Te++;else{Me.swapRows(Oe,We);let Ye=Me.get(Oe,Te);for(let Et=Te;Et=0;)if(Me.maxRow(We)===0)We--;else{let Ye=0,Et=!1;for(;YeOe[Te]&&(Oe[Te]=this.get(Te,We));return Oe}case"column":{const Oe=new Array(this.columns).fill(Number.NEGATIVE_INFINITY);for(let Te=0;TeOe[We]&&(Oe[We]=this.get(Te,We));return Oe}case void 0:{let Oe=this.get(0,0);for(let Te=0;TeOe&&(Oe=this.get(Te,We));return Oe}default:throw new Error(`invalid option: ${Me}`)}}maxIndex(){qe(this);let Me=this.get(0,0),Oe=[0,0];for(let Te=0;TeMe&&(Me=this.get(Te,We),Oe[0]=Te,Oe[1]=We);return Oe}min(Me){if(this.isEmpty())return NaN;switch(Me){case"row":{const Oe=new Array(this.rows).fill(Number.POSITIVE_INFINITY);for(let Te=0;TeOe&&(Oe=this.get(Me,Te));return Oe}maxRowIndex(Me){De(this,Me),qe(this);let Oe=this.get(Me,0),Te=[Me,0];for(let We=1;WeOe&&(Oe=this.get(Me,We),Te[1]=We);return Te}minRow(Me){if(De(this,Me),this.isEmpty())return NaN;let Oe=this.get(Me,0);for(let Te=1;TeOe&&(Oe=this.get(Te,Me));return Oe}maxColumnIndex(Me){Re(this,Me),qe(this);let Oe=this.get(0,Me),Te=[0,Me];for(let We=1;WeOe&&(Oe=this.get(We,Me),Te[0]=We);return Te}minColumn(Me){if(Re(this,Me),this.isEmpty())return NaN;let Oe=this.get(0,Me);for(let Te=1;Te=1;We/=2)We&1&&(Oe=Oe.mmul(Te)),Te=Te.mmul(Te);return Oe}strassen2x2(Me){Me=St.checkMatrix(Me);let Oe=new St(2,2);const Te=this.get(0,0),We=Me.get(0,0),Ye=this.get(0,1),Et=Me.get(0,1),Pt=this.get(1,0),qt=Me.get(1,0),Vt=this.get(1,1),fn=Me.get(1,1),gn=(Te+Vt)*(We+fn),Qn=(Pt+Vt)*We,Pn=Te*(Et-fn),qn=Vt*(qt-We),nr=(Te+Ye)*fn,fr=(Pt-Te)*(We+Et),mn=(Ye-Vt)*(qt+fn),rn=gn+qn-nr+mn,On=Pn+nr,Un=Qn+qn,sr=gn-Qn+Pn+fr;return Oe.set(0,0,rn),Oe.set(0,1,On),Oe.set(1,0,Un),Oe.set(1,1,sr),Oe}strassen3x3(Me){Me=St.checkMatrix(Me);let Oe=new St(3,3);const Te=this.get(0,0),We=this.get(0,1),Ye=this.get(0,2),Et=this.get(1,0),Pt=this.get(1,1),qt=this.get(1,2),Vt=this.get(2,0),fn=this.get(2,1),gn=this.get(2,2),Qn=Me.get(0,0),Pn=Me.get(0,1),qn=Me.get(0,2),nr=Me.get(1,0),fr=Me.get(1,1),mn=Me.get(1,2),rn=Me.get(2,0),On=Me.get(2,1),Un=Me.get(2,2),sr=(Te+We+Ye-Et-Pt-fn-gn)*fr,Ar=(Te-Et)*(-Pn+fr),tr=Pt*(-Qn+Pn+nr-fr-mn-rn+Un),ur=(-Te+Et+Pt)*(Qn-Pn+fr),cr=(Et+Pt)*(-Qn+Pn),Ln=Te*Qn,pr=(-Te+Vt+fn)*(Qn-qn+mn),Xn=(-Te+Vt)*(qn-mn),Rr=(Vt+fn)*(-Qn+qn),Ja=(Te+We+Ye-Pt-qt-Vt-fn)*mn,qa=fn*(-Qn+qn+nr-fr-mn-rn+On),di=(-Ye+fn+gn)*(fr+rn-On),Zr=(Ye-gn)*(fr-On),da=Ye*rn,Oa=(fn+gn)*(-rn+On),sa=(-Ye+Pt+qt)*(mn+rn-Un),$a=(Ye-qt)*(mn-Un),Fi=(Pt+qt)*(-rn+Un),Ra=We*nr,Wi=qt*On,Xi=Et*qn,Bo=Vt*Pn,xo=gn*Un,_s=Ln+da+Ra,Uo=sr+ur+cr+Ln+di+da+Oa,Do=Ln+pr+Rr+Ja+da+sa+Fi,ns=Ar+tr+ur+Ln+da+sa+$a,Wo=Ar+ur+cr+Ln+Wi,jo=da+sa+$a+Fi+Xi,Yr=Ln+pr+Xn+qa+di+Zr+da,Jo=di+Zr+da+Oa+Bo,Ls=Ln+pr+Xn+Rr+xo;return Oe.set(0,0,_s),Oe.set(0,1,Uo),Oe.set(0,2,Do),Oe.set(1,0,ns),Oe.set(1,1,Wo),Oe.set(1,2,jo),Oe.set(2,0,Yr),Oe.set(2,1,Jo),Oe.set(2,2,Ls),Oe}mmulStrassen(Me){Me=St.checkMatrix(Me);let Oe=this.clone(),Te=Oe.rows,We=Oe.columns,Ye=Me.rows,Et=Me.columns;We!==Ye&&console.warn(`Multiplying ${Te} x ${We} and ${Ye} x ${Et} matrix: dimensions do not match.`);function Pt(gn,Qn,Pn){let qn=gn.rows,nr=gn.columns;if(qn===Qn&&nr===Pn)return gn;{let fr=sn.zeros(Qn,Pn);return fr=fr.setSubMatrix(gn,0,0),fr}}let qt=Math.max(Te,Ye),Vt=Math.max(We,Et);Oe=Pt(Oe,qt,Vt),Me=Pt(Me,qt,Vt);function fn(gn,Qn,Pn,qn){if(Pn<=512||qn<=512)return gn.mmul(Qn);Pn%2===1&&qn%2===1?(gn=Pt(gn,Pn+1,qn+1),Qn=Pt(Qn,Pn+1,qn+1)):Pn%2===1?(gn=Pt(gn,Pn+1,qn),Qn=Pt(Qn,Pn+1,qn)):qn%2===1&&(gn=Pt(gn,Pn,qn+1),Qn=Pt(Qn,Pn,qn+1));let nr=parseInt(gn.rows/2,10),fr=parseInt(gn.columns/2,10),mn=gn.subMatrix(0,nr-1,0,fr-1),rn=Qn.subMatrix(0,nr-1,0,fr-1),On=gn.subMatrix(0,nr-1,fr,gn.columns-1),Un=Qn.subMatrix(0,nr-1,fr,Qn.columns-1),sr=gn.subMatrix(nr,gn.rows-1,0,fr-1),Ar=Qn.subMatrix(nr,Qn.rows-1,0,fr-1),tr=gn.subMatrix(nr,gn.rows-1,fr,gn.columns-1),ur=Qn.subMatrix(nr,Qn.rows-1,fr,Qn.columns-1),cr=fn(sn.add(mn,tr),sn.add(rn,ur),nr,fr),Ln=fn(sn.add(sr,tr),rn,nr,fr),pr=fn(mn,sn.sub(Un,ur),nr,fr),Xn=fn(tr,sn.sub(Ar,rn),nr,fr),Rr=fn(sn.add(mn,On),ur,nr,fr),Ja=fn(sn.sub(sr,mn),sn.add(rn,Un),nr,fr),qa=fn(sn.sub(On,tr),sn.add(Ar,ur),nr,fr),di=sn.add(cr,Xn);di.sub(Rr),di.add(qa);let Zr=sn.add(pr,Rr),da=sn.add(Ln,Xn),Oa=sn.sub(cr,Ln);Oa.add(pr),Oa.add(Ja);let sa=sn.zeros(2*di.rows,2*di.columns);return sa=sa.setSubMatrix(di,0,0),sa=sa.setSubMatrix(Zr,di.rows,0),sa=sa.setSubMatrix(da,0,di.columns),sa=sa.setSubMatrix(Oa,di.rows,di.columns),sa.subMatrix(0,Pn-1,0,qn-1)}return fn(Oe,Me,qt,Vt)}scaleRows(Me={}){if(typeof Me!="object")throw new TypeError("options must be an object");const{min:Oe=0,max:Te=1}=Me;if(!Number.isFinite(Oe))throw new TypeError("min must be a number");if(!Number.isFinite(Te))throw new TypeError("max must be a number");if(Oe>=Te)throw new RangeError("min must be smaller than max");let We=new St(this.rows,this.columns);for(let Ye=0;Ye0&&ne(Et,{min:Oe,max:Te,output:Et}),We.setRow(Ye,Et)}return We}scaleColumns(Me={}){if(typeof Me!="object")throw new TypeError("options must be an object");const{min:Oe=0,max:Te=1}=Me;if(!Number.isFinite(Oe))throw new TypeError("min must be a number");if(!Number.isFinite(Te))throw new TypeError("max must be a number");if(Oe>=Te)throw new RangeError("min must be smaller than max");let We=new St(this.rows,this.columns);for(let Ye=0;YeTe||Oe<0||Oe>=this.columns||Te<0||Te>=this.columns)throw new RangeError("Argument out of range");let We=new St(Me.length,Te-Oe+1);for(let Ye=0;Ye=this.rows)throw new RangeError(`Row index out of range: ${Me[Ye]}`);We.set(Ye,Et-Oe,this.get(Me[Ye],Et))}return We}subMatrixColumn(Me,Oe,Te){if(Oe===void 0&&(Oe=0),Te===void 0&&(Te=this.rows-1),Oe>Te||Oe<0||Oe>=this.rows||Te<0||Te>=this.rows)throw new RangeError("Argument out of range");let We=new St(Te-Oe+1,Me.length);for(let Ye=0;Ye=this.columns)throw new RangeError(`Column index out of range: ${Me[Ye]}`);We.set(Et-Oe,Ye,this.get(Et,Me[Ye]))}return We}setSubMatrix(Me,Oe,Te){if(Me=St.checkMatrix(Me),Me.isEmpty())return this;let We=Oe+Me.rows-1,Ye=Te+Me.columns-1;Qe(this,Oe,We,Te,Ye);for(let Et=0;Ettypeof Me=="number")}sn.random=sn.rand,sn.randomInt=sn.randInt,sn.diagonal=sn.diag,sn.prototype.diagonal=sn.prototype.diag,sn.identity=sn.eye,sn.prototype.negate=sn.prototype.neg,sn.prototype.tensorProduct=sn.prototype.kroneckerProduct;const It=class RS extends sn{constructor(Me,Oe){if(super(),be(this,ye),Pe(this,"data"),RS.isMatrix(Me))pe(this,ye,Se).call(this,Me.rows,Me.columns),RS.copy(Me,this);else if(Number.isInteger(Me)&&Me>=0)pe(this,ye,Se).call(this,Me,Oe);else if(te.isAnyArray(Me)){const Te=Me;if(Me=Te.length,Oe=Me?Te[0].length:0,typeof Oe!="number")throw new TypeError("Data must be a 2D array with at least one element");this.data=[];for(let We=0;We=0)for(let Oe=0;Oe=0)we(this,ce,new St(Me,Me));else if(we(this,ce,new St(Me)),!this.isSymmetric())throw new TypeError("not symmetric data")}get size(){return Ee(this,ce).size}get rows(){return Ee(this,ce).rows}get columns(){return Ee(this,ce).columns}get diagonalSize(){return this.rows}static isSymmetricMatrix(Me){return St.isMatrix(Me)&&Me.klassType==="SymmetricMatrix"}static zeros(Me){return new this(Me)}static ones(Me){return new this(Me).fill(1)}clone(){const Me=new FS(this.diagonalSize);for(const[Oe,Te,We]of this.upperRightEntries())Me.set(Oe,Te,We);return Me}toMatrix(){return new St(this)}get(Me,Oe){return Ee(this,ce).get(Me,Oe)}set(Me,Oe,Te){return Ee(this,ce).set(Me,Oe,Te),Ee(this,ce).set(Oe,Me,Te),this}removeCross(Me){return Ee(this,ce).removeRow(Me),Ee(this,ce).removeColumn(Me),this}addCross(Me,Oe){Oe===void 0&&(Oe=Me,Me=this.diagonalSize);const Te=Oe.slice();return Te.splice(Me,1),Ee(this,ce).addRow(Me,Te),Ee(this,ce).addColumn(Me,Oe),this}applyMask(Me){if(Me.length!==this.diagonalSize)throw new RangeError("Mask size do not match with matrix size");const Oe=[];for(const[Te,We]of Me.entries())We||Oe.push(Te);Oe.reverse();for(const Te of Oe)this.removeCross(Te);return this}toCompact(){const{diagonalSize:Me}=this,Oe=new Array(Me*(Me+1)/2);for(let Te=0,We=0,Ye=0;Ye=Me&&(Te=++We);return Oe}static fromCompact(Me){const Oe=Me.length,Te=(Math.sqrt(8*Oe+1)-1)/2;if(!Number.isInteger(Te))throw new TypeError(`This array is not a compact representation of a Symmetric Matrix, ${JSON.stringify(Me)}`);const We=new FS(Te);for(let Ye=0,Et=0,Pt=0;Pt=Te&&(Ye=++Et);return We}*upperRightEntries(){for(let Me=0,Oe=0;Me=this.diagonalSize&&(Oe=++Me)}}*upperRightValues(){for(let Me=0,Oe=0;Me=this.diagonalSize&&(Oe=++Me)}};ce=new WeakMap;let vt=Yt;vt.prototype.klassType="SymmetricMatrix";class At extends vt{static isDistanceMatrix(Me){return vt.isSymmetricMatrix(Me)&&Me.klassSubType==="DistanceMatrix"}constructor(Me){if(super(Me),!this.isDistance())throw new TypeError("Provided arguments do no produce a distance matrix")}set(Me,Oe,Te){return Me===Oe&&(Te=0),super.set(Me,Oe,Te)}addCross(Me,Oe){return Oe===void 0&&(Oe=Me,Me=this.diagonalSize),Oe=Oe.slice(),Oe[Me]=0,super.addCross(Me,Oe)}toSymmetricMatrix(){return new vt(this)}clone(){const Me=new At(this.diagonalSize);for(const[Oe,Te,We]of this.upperRightEntries())Oe!==Te&&Me.set(Oe,Te,We);return Me}toCompact(){const{diagonalSize:Me}=this,Oe=(Me-1)*Me/2,Te=new Array(Oe);for(let We=1,Ye=0,Et=0;Et=Me&&(We=++Ye+1);return Te}static fromCompact(Me){const Oe=Me.length;if(Oe===0)return new this(0);const Te=(Math.sqrt(8*Oe+1)+1)/2;if(!Number.isInteger(Te))throw new TypeError(`This array is not a compact representation of a DistanceMatrix, ${JSON.stringify(Me)}`);const We=new this(Te);for(let Ye=1,Et=0,Pt=0;Pt=Te&&(Ye=++Et+1);return We}}At.prototype.klassSubType="DistanceMatrix";class Xt extends sn{constructor(Me,Oe,Te){super(),this.matrix=Me,this.rows=Oe,this.columns=Te}}class Ft extends Xt{constructor(Me,Oe){Re(Me,Oe),super(Me,Me.rows,1),this.column=Oe}set(Me,Oe,Te){return this.matrix.set(Me,this.column,Te),this}get(Me){return this.matrix.get(Me,this.column)}}class Mt extends Xt{constructor(Me,Oe){Xe(Me,Oe),super(Me,Me.rows,Oe.length),this.columnIndices=Oe}set(Me,Oe,Te){return this.matrix.set(Me,this.columnIndices[Oe],Te),this}get(Me,Oe){return this.matrix.get(Me,this.columnIndices[Oe])}}class ln extends Xt{constructor(Me){super(Me,Me.rows,Me.columns)}set(Me,Oe,Te){return this.matrix.set(Me,this.columns-Oe-1,Te),this}get(Me,Oe){return this.matrix.get(Me,this.columns-Oe-1)}}class Dn extends Xt{constructor(Me){super(Me,Me.rows,Me.columns)}set(Me,Oe,Te){return this.matrix.set(this.rows-Me-1,Oe,Te),this}get(Me,Oe){return this.matrix.get(this.rows-Me-1,Oe)}}class Hn extends Xt{constructor(Me,Oe){De(Me,Oe),super(Me,1,Me.columns),this.row=Oe}set(Me,Oe,Te){return this.matrix.set(this.row,Oe,Te),this}get(Me,Oe){return this.matrix.get(this.row,Oe)}}class Vn extends Xt{constructor(Me,Oe){Ge(Me,Oe),super(Me,Oe.length,Me.columns),this.rowIndices=Oe}set(Me,Oe,Te){return this.matrix.set(this.rowIndices[Me],Oe,Te),this}get(Me,Oe){return this.matrix.get(this.rowIndices[Me],Oe)}}class Kn extends Xt{constructor(Me,Oe,Te){Ge(Me,Oe),Xe(Me,Te),super(Me,Oe.length,Te.length),this.rowIndices=Oe,this.columnIndices=Te}set(Me,Oe,Te){return this.matrix.set(this.rowIndices[Me],this.columnIndices[Oe],Te),this}get(Me,Oe){return this.matrix.get(this.rowIndices[Me],this.columnIndices[Oe])}}class er extends Xt{constructor(Me,Oe,Te,We,Ye){Qe(Me,Oe,Te,We,Ye),super(Me,Te-Oe+1,Ye-We+1),this.startRow=Oe,this.startColumn=We}set(Me,Oe,Te){return this.matrix.set(this.startRow+Me,this.startColumn+Oe,Te),this}get(Me,Oe){return this.matrix.get(this.startRow+Me,this.startColumn+Oe)}}class $t extends Xt{constructor(Me){super(Me,Me.columns,Me.rows)}set(Me,Oe,Te){return this.matrix.set(Oe,Me,Te),this}get(Me,Oe){return this.matrix.get(Oe,Me)}}class vn extends sn{constructor(Me,Oe={}){const{rows:Te=1}=Oe;if(Me.length%Te!==0)throw new Error("the data length is not divisible by the number of rows");super(),this.rows=Te,this.columns=Me.length/Te,this.data=Me}set(Me,Oe,Te){let We=this._calculateIndex(Me,Oe);return this.data[We]=Te,this}get(Me,Oe){let Te=this._calculateIndex(Me,Oe);return this.data[Te]}_calculateIndex(Me,Oe){return Me*this.columns+Oe}}class jn extends sn{constructor(Me){super(),this.data=Me,this.rows=Me.length,this.columns=Me[0].length}set(Me,Oe,Te){return this.data[Me][Oe]=Te,this}get(Me,Oe){return this.data[Me][Oe]}}function Tn(bt,Me){if(te.isAnyArray(bt))return bt[0]&&te.isAnyArray(bt[0])?new jn(bt):new vn(bt,Me);throw new Error("the argument is not an array")}class xr{constructor(Me){Me=jn.checkMatrix(Me);let Oe=Me.clone(),Te=Oe.rows,We=Oe.columns,Ye=new Float64Array(Te),Et=1,Pt,qt,Vt,fn,gn,Qn,Pn,qn,nr;for(Pt=0;PtMath.abs(qn[fn])&&(fn=Pt);if(fn!==qt){for(Vt=0;Vt=0;Vt--){for(qt=0;qtEt?We.set(Ye,Et,Me.get(Ye,Et)):Ye===Et?We.set(Ye,Et,1):We.set(Ye,Et,0);return We}get upperTriangularMatrix(){let Me=this.LU,Oe=Me.rows,Te=Me.columns,We=new St(Oe,Te);for(let Ye=0;YeMath.abs(Me)?(Oe=Me/bt,Math.abs(bt)*Math.sqrt(1+Oe*Oe)):Me!==0?(Oe=bt/Me,Math.abs(Me)*Math.sqrt(1+Oe*Oe)):0}class wr{constructor(Me){Me=jn.checkMatrix(Me);let Oe=Me.clone(),Te=Me.rows,We=Me.columns,Ye=new Float64Array(We),Et,Pt,qt,Vt;for(qt=0;qt=0;Vt--){for(qt=0;qt=0;Pt--){for(Ye=0;Ye=0;Ln--)if(qn[Ln]!==0){for(let pr=Ln+1;pr=0;Ln--){if(Ln0;){let Ln,pr;for(Ln=tr-2;Ln>=-1&&Ln!==-1;Ln--){const Xn=Number.MIN_VALUE+cr*Math.abs(qn[Ln]+Math.abs(qn[Ln+1]));if(Math.abs(mn[Ln])<=Xn||Number.isNaN(mn[Ln])){mn[Ln]=0;break}}if(Ln===tr-2)pr=4;else{let Xn;for(Xn=tr-1;Xn>=Ln&&Xn!==Ln;Xn--){let Rr=(Xn!==tr?Math.abs(mn[Xn]):0)+(Xn!==Ln+1?Math.abs(mn[Xn-1]):0);if(Math.abs(qn[Xn])<=cr*Rr){qn[Xn]=0;break}}Xn===Ln?pr=3:Xn===tr-1?pr=1:(pr=2,Ln=Xn)}switch(Ln++,pr){case 1:{let Xn=mn[tr-2];mn[tr-2]=0;for(let Rr=tr-2;Rr>=Ln;Rr--){let Ja=jr(qn[Rr],Xn),qa=qn[Rr]/Ja,di=Xn/Ja;if(qn[Rr]=Ja,Rr!==Ln&&(Xn=-di*mn[Rr-1],mn[Rr-1]=qa*mn[Rr-1]),Vt)for(let Zr=0;Zr=qn[Ln+1]);){let Xn=qn[Ln];if(qn[Ln]=qn[Ln+1],qn[Ln+1]=Xn,Vt&&LnOe&&Ye.set(fn,gn,Me.get(fn,gn)/this.s[gn]);let Et=this.U,Pt=Et.rows,qt=Et.columns,Vt=new St(Te,Pt);for(let fn=0;fnMe&&Oe++;return Oe}get diagonal(){return Array.from(this.s)}get threshold(){return Number.EPSILON/2*Math.max(this.m,this.n)*this.s[0]}get leftSingularVectors(){return this.U}get rightSingularVectors(){return this.V}get diagonalMatrix(){return St.diag(this.s)}}function Da(bt,Me=!1){return bt=jn.checkMatrix(bt),Me?new Vr(bt).inverse():Ya(bt,St.eye(bt.rows))}function Ya(bt,Me,Oe=!1){return bt=jn.checkMatrix(bt),Me=jn.checkMatrix(Me),Oe?new Vr(bt).solve(Me):bt.isSquare()?new xr(bt).solve(Me):new wr(bt).solve(Me)}function Ba(bt){if(bt=St.checkMatrix(bt),bt.isSquare()){if(bt.columns===0)return 1;let Me,Oe,Te,We;if(bt.columns===2)return Me=bt.get(0,0),Oe=bt.get(0,1),Te=bt.get(1,0),We=bt.get(1,1),Me*We-Oe*Te;if(bt.columns===3){let Ye,Et,Pt;return Ye=new Kn(bt,[1,2],[1,2]),Et=new Kn(bt,[1,2],[0,2]),Pt=new Kn(bt,[1,2],[0,1]),Me=bt.get(0,0),Oe=bt.get(0,1),Te=bt.get(0,2),Me*Ba(Ye)-Oe*Ba(Et)+Te*Ba(Pt)}else return new xr(bt).determinant}else throw Error("determinant can only be calculated for a square matrix")}function Ia(bt,Me){let Oe=[];for(let Te=0;TeWe)return new Array(Me.rows+1).fill(0);{let Ye=Me.addRow(Oe,[0]);for(let Et=0;EtMe?Ye[Et]=1/Ye[Et]:Ye[Et]=0;return We.mmul(St.diag(Ye).mmul(Te.transpose()))}function Qa(bt,Me=bt,Oe={}){bt=new St(bt);let Te=!1;if(typeof Me=="object"&&!St.isMatrix(Me)&&!te.isAnyArray(Me)?(Oe=Me,Me=bt,Te=!0):Me=new St(Me),bt.rows!==Me.rows)throw new TypeError("Both matrices must have the same number of rows");const{center:We=!0}=Oe;We&&(bt=bt.center("column"),Te||(Me=Me.center("column")));const Ye=bt.transpose().mmul(Me);for(let Et=0;Et0?We.set(Ye,Ye+1,Oe[Ye]):Oe[Ye]<0&&We.set(Ye,Ye-1,Oe[Ye])}return We}}function yr(bt,Me,Oe,Te){let We,Ye,Et,Pt,qt,Vt,fn,gn;for(qt=0;qt0;Pt--){for(gn=0,Et=0,Vt=0;Vt0&&(Ye=-Ye),Me[Pt]=gn*Ye,Et=Et-We*Ye,Oe[Pt-1]=We-Ye,qt=0;qtVt)do{for(We=Oe[Vt],gn=(Oe[Vt+1]-We)/(2*Me[Vt]),Qn=jr(gn,1),gn<0&&(Qn=-Qn),Oe[Vt]=Me[Vt]/(gn+Qn),Oe[Vt+1]=Me[Vt]*(gn+Qn),Pn=Oe[Vt+1],Ye=We-Oe[Vt],Et=Vt+2;Et=Vt;Et--)for(fr=nr,nr=qn,On=rn,We=qn*Me[Et],Ye=qn*gn,Qn=jr(gn,Me[Et]),Me[Et+1]=rn*Qn,rn=Me[Et]/Qn,qn=gn/Qn,gn=qn*Oe[Et]-rn*We,Oe[Et+1]=Ye+rn*(qn*We+rn*Oe[Et]),qt=0;qtAr*sr);Oe[Vt]=Oe[Vt]+Un,Me[Vt]=0}for(Et=0;Et=gn;Vt--)Oe[Vt]=Me.get(Vt,gn-1)/Qn,qt+=Oe[Vt]*Oe[Vt];for(Pt=Math.sqrt(qt),Oe[gn]>0&&(Pt=-Pt),qt=qt-Oe[gn]*Pt,Oe[gn]=Oe[gn]-Pt,fn=gn;fn=gn;Vt--)Et+=Oe[Vt]*Me.get(Vt,fn);for(Et=Et/qt,Vt=gn;Vt<=Ye;Vt++)Me.set(Vt,fn,Me.get(Vt,fn)-Et*Oe[Vt])}for(Vt=0;Vt<=Ye;Vt++){for(Et=0,fn=Ye;fn>=gn;fn--)Et+=Oe[fn]*Me.get(Vt,fn);for(Et=Et/qt,fn=gn;fn<=Ye;fn++)Me.set(Vt,fn,Me.get(Vt,fn)-Et*Oe[fn])}Oe[gn]=Qn*Oe[gn],Me.set(gn,gn-1,Qn*Pt)}}for(Vt=0;Vt=We+1;gn--)if(Me.get(gn,gn-1)!==0){for(Vt=gn+1;Vt<=Ye;Vt++)Oe[Vt]=Me.get(Vt,gn-1);for(fn=gn;fn<=Ye;fn++){for(Pt=0,Vt=gn;Vt<=Ye;Vt++)Pt+=Oe[Vt]*Te.get(Vt,fn);for(Pt=Pt/Oe[gn]/Me.get(gn,gn-1),Vt=gn;Vt<=Ye;Vt++)Te.set(Vt,fn,Te.get(Vt,fn)+Pt*Oe[Vt])}}}function hr(bt,Me,Oe,Te,We){let Ye=bt-1,Et=0,Pt=bt-1,qt=Number.EPSILON,Vt=0,fn=0,gn=0,Qn=0,Pn=0,qn=0,nr=0,fr=0,mn,rn,On,Un,sr,Ar,tr,ur,cr,Ln,pr,Xn,Rr,Ja,qa;for(mn=0;mnPt)&&(Oe[mn]=We.get(mn,mn),Me[mn]=0),rn=Math.max(mn-1,0);rn=Et;){for(Un=Ye;Un>Et&&(qn=Math.abs(We.get(Un-1,Un-1))+Math.abs(We.get(Un,Un)),qn===0&&(qn=fn),!(Math.abs(We.get(Un,Un-1))=0){for(nr=gn>=0?gn+nr:gn-nr,Oe[Ye-1]=ur+nr,Oe[Ye]=Oe[Ye-1],nr!==0&&(Oe[Ye]=ur-tr/nr),Me[Ye-1]=0,Me[Ye]=0,ur=We.get(Ye,Ye-1),qn=Math.abs(ur)+Math.abs(nr),gn=ur/qn,Qn=nr/qn,Pn=Math.sqrt(gn*gn+Qn*Qn),gn=gn/Pn,Qn=Qn/Pn,rn=Ye-1;rn0)){for(qn=Math.sqrt(qn),cr=Un&&(nr=We.get(sr,sr),Pn=ur-nr,qn=cr-nr,gn=(Pn*qn-tr)/We.get(sr+1,sr)+We.get(sr,sr+1),Qn=We.get(sr+1,sr+1)-nr-Pn-qn,Pn=We.get(sr+2,sr+1),qn=Math.abs(gn)+Math.abs(Qn)+Math.abs(Pn),gn=gn/qn,Qn=Qn/qn,Pn=Pn/qn,!(sr===Un||Math.abs(We.get(sr,sr-1))*(Math.abs(Qn)+Math.abs(Pn))sr+2&&We.set(mn,mn-3,0);for(On=sr;On<=Ye-1&&(Ja=On!==Ye-1,On!==sr&&(gn=We.get(On,On-1),Qn=We.get(On+1,On-1),Pn=Ja?We.get(On+2,On-1):0,ur=Math.abs(gn)+Math.abs(Qn)+Math.abs(Pn),ur!==0&&(gn=gn/ur,Qn=Qn/ur,Pn=Pn/ur)),ur!==0);On++)if(qn=Math.sqrt(gn*gn+Qn*Qn+Pn*Pn),gn<0&&(qn=-qn),qn!==0){for(On!==sr?We.set(On,On-1,-qn*ur):Un!==sr&&We.set(On,On-1,-We.get(On,On-1)),gn=gn+qn,ur=gn/qn,cr=Qn/qn,nr=Pn/qn,Qn=Qn/gn,Pn=Pn/gn,rn=On;rn=0;Ye--)if(gn=Oe[Ye],Qn=Me[Ye],Qn===0)for(Un=Ye,We.set(Ye,Ye,1),mn=Ye-1;mn>=0;mn--){for(tr=We.get(mn,mn)-gn,Pn=0,rn=Un;rn<=Ye;rn++)Pn=Pn+We.get(mn,rn)*We.get(rn,Ye);if(Me[mn]<0)nr=tr,qn=Pn;else if(Un=mn,Me[mn]===0?We.set(mn,Ye,tr!==0?-Pn/tr:-Pn/(qt*fn)):(ur=We.get(mn,mn+1),cr=We.get(mn+1,mn),Qn=(Oe[mn]-gn)*(Oe[mn]-gn)+Me[mn]*Me[mn],Ar=(ur*qn-nr*Pn)/Qn,We.set(mn,Ye,Ar),We.set(mn+1,Ye,Math.abs(ur)>Math.abs(nr)?(-Pn-tr*Ar)/ur:(-qn-cr*Ar)/nr)),Ar=Math.abs(We.get(mn,Ye)),qt*Ar*Ar>1)for(rn=mn;rn<=Ye;rn++)We.set(rn,Ye,We.get(rn,Ye)/Ar)}else if(Qn<0)for(Un=Ye-1,Math.abs(We.get(Ye,Ye-1))>Math.abs(We.get(Ye-1,Ye))?(We.set(Ye-1,Ye-1,Qn/We.get(Ye,Ye-1)),We.set(Ye-1,Ye,-(We.get(Ye,Ye)-gn)/We.get(Ye,Ye-1))):(qa=Fr(0,-We.get(Ye-1,Ye),We.get(Ye-1,Ye-1)-gn,Qn),We.set(Ye-1,Ye-1,qa[0]),We.set(Ye-1,Ye,qa[1])),We.set(Ye,Ye-1,0),We.set(Ye,Ye,1),mn=Ye-2;mn>=0;mn--){for(Ln=0,pr=0,rn=Un;rn<=Ye;rn++)Ln=Ln+We.get(mn,rn)*We.get(rn,Ye-1),pr=pr+We.get(mn,rn)*We.get(rn,Ye);if(tr=We.get(mn,mn)-gn,Me[mn]<0)nr=tr,Pn=Ln,qn=pr;else if(Un=mn,Me[mn]===0?(qa=Fr(-Ln,-pr,tr,Qn),We.set(mn,Ye-1,qa[0]),We.set(mn,Ye,qa[1])):(ur=We.get(mn,mn+1),cr=We.get(mn+1,mn),Xn=(Oe[mn]-gn)*(Oe[mn]-gn)+Me[mn]*Me[mn]-Qn*Qn,Rr=(Oe[mn]-gn)*2*Qn,Xn===0&&Rr===0&&(Xn=qt*fn*(Math.abs(tr)+Math.abs(Qn)+Math.abs(ur)+Math.abs(cr)+Math.abs(nr))),qa=Fr(ur*Pn-nr*Ln+Qn*pr,ur*qn-nr*pr-Qn*Ln,Xn,Rr),We.set(mn,Ye-1,qa[0]),We.set(mn,Ye,qa[1]),Math.abs(ur)>Math.abs(nr)+Math.abs(Qn)?(We.set(mn+1,Ye-1,(-Ln-tr*We.get(mn,Ye-1)+Qn*We.get(mn,Ye))/ur),We.set(mn+1,Ye,(-pr-tr*We.get(mn,Ye)-Qn*We.get(mn,Ye-1))/ur)):(qa=Fr(-Pn-cr*We.get(mn,Ye-1),-qn-cr*We.get(mn,Ye),nr,Qn),We.set(mn+1,Ye-1,qa[0]),We.set(mn+1,Ye,qa[1]))),Ar=Math.max(Math.abs(We.get(mn,Ye-1)),Math.abs(We.get(mn,Ye))),qt*Ar*Ar>1)for(rn=mn;rn<=Ye;rn++)We.set(rn,Ye-1,We.get(rn,Ye-1)/Ar),We.set(rn,Ye,We.get(rn,Ye)/Ar)}for(mn=0;mnPt)for(rn=mn;rn=Et;rn--)for(mn=Et;mn<=Pt;mn++){for(nr=0,On=Et;On<=Math.min(rn,Pt);On++)nr=nr+Te.get(mn,On)*We.get(On,rn);Te.set(mn,rn,nr)}}}function Fr(bt,Me,Oe,Te){let We,Ye;return Math.abs(Oe)>Math.abs(Te)?(We=Te/Oe,Ye=Oe+We*Te,[(bt+We*Me)/Ye,(Me-We*bt)/Ye]):(We=Oe/Te,Ye=Te+We*Oe,[(We*bt+Me)/Ye,(We*Me-bt)/Ye])}class Ur{constructor(Me){if(Me=jn.checkMatrix(Me),!Me.isSymmetric())throw new Error("Matrix is not symmetric");let Oe=Me,Te=Oe.rows,We=new St(Te,Te),Ye=!0,Et,Pt,qt;for(Pt=0;Pt0),We.set(Pt,Pt,Math.sqrt(Math.max(Vt,0))),qt=Pt+1;qt=0;qt--)for(Pt=0;PtEt;Pn++)gn=Me.transpose().mmul(Pt).div(Pt.transpose().mmul(Pt).get(0,0)),gn=gn.div(gn.norm()),Vt=Me.mmul(gn).div(gn.transpose().mmul(gn).get(0,0)),Pn>0&&(qt=Vt.clone().sub(Qn).pow(2).sum()),Qn=Vt.clone(),Te?(fn=Te.transpose().mmul(Vt).div(Vt.transpose().mmul(Vt).get(0,0)),fn=fn.div(fn.norm()),Pt=Te.mmul(fn).div(fn.transpose().mmul(fn).get(0,0))):Pt=Vt;if(Te){let Pn=Me.transpose().mmul(Vt).div(Vt.transpose().mmul(Vt).get(0,0));Pn=Pn.div(Pn.norm());let 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Ye=0,Et=!1;for(;YeTe[Oe]&&(Te[Oe]=this.get(Oe,Ue));return Te}case"column":{const Te=new Array(this.columns).fill(Number.NEGATIVE_INFINITY);for(let Oe=0;OeTe[Ue]&&(Te[Ue]=this.get(Oe,Ue));return Te}case void 0:{let Te=this.get(0,0);for(let Oe=0;OeTe&&(Te=this.get(Oe,Ue));return Te}default:throw new Error(`invalid option: ${Me}`)}}maxIndex(){qe(this);let Me=this.get(0,0),Te=[0,0];for(let Oe=0;OeMe&&(Me=this.get(Oe,Ue),Te[0]=Oe,Te[1]=Ue);return Te}min(Me){if(this.isEmpty())return NaN;switch(Me){case"row":{const Te=new Array(this.rows).fill(Number.POSITIVE_INFINITY);for(let Oe=0;OeTe&&(Te=this.get(Me,Oe));return Te}maxRowIndex(Me){De(this,Me),qe(this);let Te=this.get(Me,0),Oe=[Me,0];for(let Ue=1;UeTe&&(Te=this.get(Me,Ue),Oe[1]=Ue);return Oe}minRow(Me){if(De(this,Me),this.isEmpty())return NaN;let Te=this.get(Me,0);for(let Oe=1;OeTe&&(Te=this.get(Oe,Me));return Te}maxColumnIndex(Me){Re(this,Me),qe(this);let Te=this.get(0,Me),Oe=[0,Me];for(let Ue=1;UeTe&&(Te=this.get(Ue,Me),Oe[0]=Ue);return Oe}minColumn(Me){if(Re(this,Me),this.isEmpty())return NaN;let Te=this.get(0,Me);for(let Oe=1;Oe=1;Ue/=2)Ue&1&&(Te=Te.mmul(Oe)),Oe=Oe.mmul(Oe);return Te}strassen2x2(Me){Me=St.checkMatrix(Me);let Te=new St(2,2);const Oe=this.get(0,0),Ue=Me.get(0,0),Ye=this.get(0,1),Et=Me.get(0,1),Pt=this.get(1,0),qt=Me.get(1,0),Vt=this.get(1,1),fn=Me.get(1,1),gn=(Oe+Vt)*(Ue+fn),Qn=(Pt+Vt)*Ue,wn=Oe*(Et-fn),qn=Vt*(qt-Ue),nr=(Oe+Ye)*fn,fr=(Pt-Oe)*(Ue+Et),mn=(Ye-Vt)*(qt+fn),nn=gn+qn-nr+mn,Tn=wn+nr,Un=Qn+qn,sr=gn-Qn+wn+fr;return Te.set(0,0,nn),Te.set(0,1,Tn),Te.set(1,0,Un),Te.set(1,1,sr),Te}strassen3x3(Me){Me=St.checkMatrix(Me);let Te=new St(3,3);const Oe=this.get(0,0),Ue=this.get(0,1),Ye=this.get(0,2),Et=this.get(1,0),Pt=this.get(1,1),qt=this.get(1,2),Vt=this.get(2,0),fn=this.get(2,1),gn=this.get(2,2),Qn=Me.get(0,0),wn=Me.get(0,1),qn=Me.get(0,2),nr=Me.get(1,0),fr=Me.get(1,1),mn=Me.get(1,2),nn=Me.get(2,0),Tn=Me.get(2,1),Un=Me.get(2,2),sr=(Oe+Ue+Ye-Et-Pt-fn-gn)*fr,Ar=(Oe-Et)*(-wn+fr),tr=Pt*(-Qn+wn+nr-fr-mn-nn+Un),ur=(-Oe+Et+Pt)*(Qn-wn+fr),cr=(Et+Pt)*(-Qn+wn),Ln=Oe*Qn,pr=(-Oe+Vt+fn)*(Qn-qn+mn),Xn=(-Oe+Vt)*(qn-mn),Rr=(Vt+fn)*(-Qn+qn),Ja=(Oe+Ue+Ye-Pt-qt-Vt-fn)*mn,qa=fn*(-Qn+qn+nr-fr-mn-nn+Tn),di=(-Ye+fn+gn)*(fr+nn-Tn),Qr=(Ye-gn)*(fr-Tn),da=Ye*nn,Ta=(fn+gn)*(-nn+Tn),sa=(-Ye+Pt+qt)*(mn+nn-Un),$a=(Ye-qt)*(mn-Un),Fi=(Pt+qt)*(-nn+Un),Ra=Ue*nr,Wi=qt*Tn,Xi=Et*qn,Lo=Vt*wn,xo=gn*Un,_s=Ln+da+Ra,Uo=sr+ur+cr+Ln+di+da+Ta,Mo=Ln+pr+Rr+Ja+da+sa+Fi,ns=Ar+tr+ur+Ln+da+sa+$a,Wo=Ar+ur+cr+Ln+Wi,jo=da+sa+$a+Fi+Xi,Yr=Ln+pr+Xn+qa+di+Qr+da,Jo=di+Qr+da+Ta+Lo,Ls=Ln+pr+Xn+Rr+xo;return Te.set(0,0,_s),Te.set(0,1,Uo),Te.set(0,2,Mo),Te.set(1,0,ns),Te.set(1,1,Wo),Te.set(1,2,jo),Te.set(2,0,Yr),Te.set(2,1,Jo),Te.set(2,2,Ls),Te}mmulStrassen(Me){Me=St.checkMatrix(Me);let Te=this.clone(),Oe=Te.rows,Ue=Te.columns,Ye=Me.rows,Et=Me.columns;Ue!==Ye&&console.warn(`Multiplying ${Oe} x ${Ue} and ${Ye} x ${Et} matrix: dimensions do not match.`);function Pt(gn,Qn,wn){let qn=gn.rows,nr=gn.columns;if(qn===Qn&&nr===wn)return gn;{let fr=sn.zeros(Qn,wn);return fr=fr.setSubMatrix(gn,0,0),fr}}let qt=Math.max(Oe,Ye),Vt=Math.max(Ue,Et);Te=Pt(Te,qt,Vt),Me=Pt(Me,qt,Vt);function fn(gn,Qn,wn,qn){if(wn<=512||qn<=512)return gn.mmul(Qn);wn%2===1&&qn%2===1?(gn=Pt(gn,wn+1,qn+1),Qn=Pt(Qn,wn+1,qn+1)):wn%2===1?(gn=Pt(gn,wn+1,qn),Qn=Pt(Qn,wn+1,qn)):qn%2===1&&(gn=Pt(gn,wn,qn+1),Qn=Pt(Qn,wn,qn+1));let nr=parseInt(gn.rows/2,10),fr=parseInt(gn.columns/2,10),mn=gn.subMatrix(0,nr-1,0,fr-1),nn=Qn.subMatrix(0,nr-1,0,fr-1),Tn=gn.subMatrix(0,nr-1,fr,gn.columns-1),Un=Qn.subMatrix(0,nr-1,fr,Qn.columns-1),sr=gn.subMatrix(nr,gn.rows-1,0,fr-1),Ar=Qn.subMatrix(nr,Qn.rows-1,0,fr-1),tr=gn.subMatrix(nr,gn.rows-1,fr,gn.columns-1),ur=Qn.subMatrix(nr,Qn.rows-1,fr,Qn.columns-1),cr=fn(sn.add(mn,tr),sn.add(nn,ur),nr,fr),Ln=fn(sn.add(sr,tr),nn,nr,fr),pr=fn(mn,sn.sub(Un,ur),nr,fr),Xn=fn(tr,sn.sub(Ar,nn),nr,fr),Rr=fn(sn.add(mn,Tn),ur,nr,fr),Ja=fn(sn.sub(sr,mn),sn.add(nn,Un),nr,fr),qa=fn(sn.sub(Tn,tr),sn.add(Ar,ur),nr,fr),di=sn.add(cr,Xn);di.sub(Rr),di.add(qa);let Qr=sn.add(pr,Rr),da=sn.add(Ln,Xn),Ta=sn.sub(cr,Ln);Ta.add(pr),Ta.add(Ja);let sa=sn.zeros(2*di.rows,2*di.columns);return sa=sa.setSubMatrix(di,0,0),sa=sa.setSubMatrix(Qr,di.rows,0),sa=sa.setSubMatrix(da,0,di.columns),sa=sa.setSubMatrix(Ta,di.rows,di.columns),sa.subMatrix(0,wn-1,0,qn-1)}return fn(Te,Me,qt,Vt)}scaleRows(Me={}){if(typeof Me!="object")throw new TypeError("options must be an object");const{min:Te=0,max:Oe=1}=Me;if(!Number.isFinite(Te))throw new TypeError("min must be a number");if(!Number.isFinite(Oe))throw new TypeError("max must be a number");if(Te>=Oe)throw new RangeError("min must be smaller than max");let Ue=new St(this.rows,this.columns);for(let Ye=0;Ye0&&ne(Et,{min:Te,max:Oe,output:Et}),Ue.setRow(Ye,Et)}return Ue}scaleColumns(Me={}){if(typeof Me!="object")throw new TypeError("options must be an object");const{min:Te=0,max:Oe=1}=Me;if(!Number.isFinite(Te))throw new TypeError("min must be a number");if(!Number.isFinite(Oe))throw new TypeError("max must be a number");if(Te>=Oe)throw new RangeError("min must be smaller than max");let Ue=new St(this.rows,this.columns);for(let Ye=0;YeOe||Te<0||Te>=this.columns||Oe<0||Oe>=this.columns)throw new RangeError("Argument out of range");let Ue=new St(Me.length,Oe-Te+1);for(let Ye=0;Ye=this.rows)throw new RangeError(`Row index out of range: ${Me[Ye]}`);Ue.set(Ye,Et-Te,this.get(Me[Ye],Et))}return Ue}subMatrixColumn(Me,Te,Oe){if(Te===void 0&&(Te=0),Oe===void 0&&(Oe=this.rows-1),Te>Oe||Te<0||Te>=this.rows||Oe<0||Oe>=this.rows)throw new RangeError("Argument out of range");let Ue=new St(Oe-Te+1,Me.length);for(let Ye=0;Ye=this.columns)throw new RangeError(`Column index out of range: ${Me[Ye]}`);Ue.set(Et-Te,Ye,this.get(Et,Me[Ye]))}return Ue}setSubMatrix(Me,Te,Oe){if(Me=St.checkMatrix(Me),Me.isEmpty())return this;let Ue=Te+Me.rows-1,Ye=Oe+Me.columns-1;Qe(this,Te,Ue,Oe,Ye);for(let Et=0;Ettypeof Me=="number")}sn.random=sn.rand,sn.randomInt=sn.randInt,sn.diagonal=sn.diag,sn.prototype.diagonal=sn.prototype.diag,sn.identity=sn.eye,sn.prototype.negate=sn.prototype.neg,sn.prototype.tensorProduct=sn.prototype.kroneckerProduct;const It=class RS extends sn{constructor(Me,Te){if(super(),be(this,ye),Pe(this,"data"),RS.isMatrix(Me))pe(this,ye,Se).call(this,Me.rows,Me.columns),RS.copy(Me,this);else if(Number.isInteger(Me)&&Me>=0)pe(this,ye,Se).call(this,Me,Te);else if(te.isAnyArray(Me)){const Oe=Me;if(Me=Oe.length,Te=Me?Oe[0].length:0,typeof Te!="number")throw new TypeError("Data must be a 2D array with at least one element");this.data=[];for(let Ue=0;Ue=0)for(let Te=0;Te=0)we(this,ce,new St(Me,Me));else if(we(this,ce,new St(Me)),!this.isSymmetric())throw new TypeError("not symmetric data")}get size(){return Ee(this,ce).size}get rows(){return Ee(this,ce).rows}get columns(){return Ee(this,ce).columns}get diagonalSize(){return this.rows}static isSymmetricMatrix(Me){return St.isMatrix(Me)&&Me.klassType==="SymmetricMatrix"}static zeros(Me){return new this(Me)}static ones(Me){return new this(Me).fill(1)}clone(){const Me=new FS(this.diagonalSize);for(const[Te,Oe,Ue]of this.upperRightEntries())Me.set(Te,Oe,Ue);return Me}toMatrix(){return new St(this)}get(Me,Te){return Ee(this,ce).get(Me,Te)}set(Me,Te,Oe){return Ee(this,ce).set(Me,Te,Oe),Ee(this,ce).set(Te,Me,Oe),this}removeCross(Me){return Ee(this,ce).removeRow(Me),Ee(this,ce).removeColumn(Me),this}addCross(Me,Te){Te===void 0&&(Te=Me,Me=this.diagonalSize);const Oe=Te.slice();return Oe.splice(Me,1),Ee(this,ce).addRow(Me,Oe),Ee(this,ce).addColumn(Me,Te),this}applyMask(Me){if(Me.length!==this.diagonalSize)throw new RangeError("Mask size do not match with matrix size");const Te=[];for(const[Oe,Ue]of Me.entries())Ue||Te.push(Oe);Te.reverse();for(const Oe of Te)this.removeCross(Oe);return this}toCompact(){const{diagonalSize:Me}=this,Te=new Array(Me*(Me+1)/2);for(let Oe=0,Ue=0,Ye=0;Ye=Me&&(Oe=++Ue);return Te}static fromCompact(Me){const Te=Me.length,Oe=(Math.sqrt(8*Te+1)-1)/2;if(!Number.isInteger(Oe))throw new TypeError(`This array is not a compact representation of a Symmetric Matrix, ${JSON.stringify(Me)}`);const Ue=new FS(Oe);for(let Ye=0,Et=0,Pt=0;Pt=Oe&&(Ye=++Et);return Ue}*upperRightEntries(){for(let Me=0,Te=0;Me=this.diagonalSize&&(Te=++Me)}}*upperRightValues(){for(let Me=0,Te=0;Me=this.diagonalSize&&(Te=++Me)}};ce=new WeakMap;let vt=Yt;vt.prototype.klassType="SymmetricMatrix";class At extends vt{static isDistanceMatrix(Me){return vt.isSymmetricMatrix(Me)&&Me.klassSubType==="DistanceMatrix"}constructor(Me){if(super(Me),!this.isDistance())throw new TypeError("Provided arguments do no produce a distance matrix")}set(Me,Te,Oe){return Me===Te&&(Oe=0),super.set(Me,Te,Oe)}addCross(Me,Te){return Te===void 0&&(Te=Me,Me=this.diagonalSize),Te=Te.slice(),Te[Me]=0,super.addCross(Me,Te)}toSymmetricMatrix(){return new vt(this)}clone(){const Me=new At(this.diagonalSize);for(const[Te,Oe,Ue]of this.upperRightEntries())Te!==Oe&&Me.set(Te,Oe,Ue);return Me}toCompact(){const{diagonalSize:Me}=this,Te=(Me-1)*Me/2,Oe=new Array(Te);for(let Ue=1,Ye=0,Et=0;Et=Me&&(Ue=++Ye+1);return Oe}static fromCompact(Me){const Te=Me.length;if(Te===0)return new this(0);const Oe=(Math.sqrt(8*Te+1)+1)/2;if(!Number.isInteger(Oe))throw new TypeError(`This array is not a compact representation of a DistanceMatrix, ${JSON.stringify(Me)}`);const Ue=new this(Oe);for(let Ye=1,Et=0,Pt=0;Pt=Oe&&(Ye=++Et+1);return Ue}}At.prototype.klassSubType="DistanceMatrix";class Xt extends sn{constructor(Me,Te,Oe){super(),this.matrix=Me,this.rows=Te,this.columns=Oe}}class Ft extends Xt{constructor(Me,Te){Re(Me,Te),super(Me,Me.rows,1),this.column=Te}set(Me,Te,Oe){return this.matrix.set(Me,this.column,Oe),this}get(Me){return this.matrix.get(Me,this.column)}}class Mt extends Xt{constructor(Me,Te){Xe(Me,Te),super(Me,Me.rows,Te.length),this.columnIndices=Te}set(Me,Te,Oe){return this.matrix.set(Me,this.columnIndices[Te],Oe),this}get(Me,Te){return this.matrix.get(Me,this.columnIndices[Te])}}class ln extends Xt{constructor(Me){super(Me,Me.rows,Me.columns)}set(Me,Te,Oe){return this.matrix.set(Me,this.columns-Te-1,Oe),this}get(Me,Te){return this.matrix.get(Me,this.columns-Te-1)}}class Dn extends Xt{constructor(Me){super(Me,Me.rows,Me.columns)}set(Me,Te,Oe){return this.matrix.set(this.rows-Me-1,Te,Oe),this}get(Me,Te){return this.matrix.get(this.rows-Me-1,Te)}}class Hn extends Xt{constructor(Me,Te){De(Me,Te),super(Me,1,Me.columns),this.row=Te}set(Me,Te,Oe){return this.matrix.set(this.row,Te,Oe),this}get(Me,Te){return this.matrix.get(this.row,Te)}}class Vn extends Xt{constructor(Me,Te){Ge(Me,Te),super(Me,Te.length,Me.columns),this.rowIndices=Te}set(Me,Te,Oe){return this.matrix.set(this.rowIndices[Me],Te,Oe),this}get(Me,Te){return this.matrix.get(this.rowIndices[Me],Te)}}class Kn extends Xt{constructor(Me,Te,Oe){Ge(Me,Te),Xe(Me,Oe),super(Me,Te.length,Oe.length),this.rowIndices=Te,this.columnIndices=Oe}set(Me,Te,Oe){return this.matrix.set(this.rowIndices[Me],this.columnIndices[Te],Oe),this}get(Me,Te){return this.matrix.get(this.rowIndices[Me],this.columnIndices[Te])}}class er extends Xt{constructor(Me,Te,Oe,Ue,Ye){Qe(Me,Te,Oe,Ue,Ye),super(Me,Oe-Te+1,Ye-Ue+1),this.startRow=Te,this.startColumn=Ue}set(Me,Te,Oe){return this.matrix.set(this.startRow+Me,this.startColumn+Te,Oe),this}get(Me,Te){return this.matrix.get(this.startRow+Me,this.startColumn+Te)}}class $t extends Xt{constructor(Me){super(Me,Me.columns,Me.rows)}set(Me,Te,Oe){return this.matrix.set(Te,Me,Oe),this}get(Me,Te){return this.matrix.get(Te,Me)}}class vn extends sn{constructor(Me,Te={}){const{rows:Oe=1}=Te;if(Me.length%Oe!==0)throw new Error("the data length is not divisible by the number of rows");super(),this.rows=Oe,this.columns=Me.length/Oe,this.data=Me}set(Me,Te,Oe){let Ue=this._calculateIndex(Me,Te);return this.data[Ue]=Oe,this}get(Me,Te){let Oe=this._calculateIndex(Me,Te);return this.data[Oe]}_calculateIndex(Me,Te){return Me*this.columns+Te}}class jn extends sn{constructor(Me){super(),this.data=Me,this.rows=Me.length,this.columns=Me[0].length}set(Me,Te,Oe){return this.data[Me][Te]=Oe,this}get(Me,Te){return this.data[Me][Te]}}function On(bt,Me){if(te.isAnyArray(bt))return bt[0]&&te.isAnyArray(bt[0])?new jn(bt):new vn(bt,Me);throw new Error("the argument is not an array")}class xr{constructor(Me){Me=jn.checkMatrix(Me);let Te=Me.clone(),Oe=Te.rows,Ue=Te.columns,Ye=new Float64Array(Oe),Et=1,Pt,qt,Vt,fn,gn,Qn,wn,qn,nr;for(Pt=0;PtMath.abs(qn[fn])&&(fn=Pt);if(fn!==qt){for(Vt=0;Vt=0;Vt--){for(qt=0;qtEt?Ue.set(Ye,Et,Me.get(Ye,Et)):Ye===Et?Ue.set(Ye,Et,1):Ue.set(Ye,Et,0);return Ue}get upperTriangularMatrix(){let Me=this.LU,Te=Me.rows,Oe=Me.columns,Ue=new St(Te,Oe);for(let Ye=0;YeMath.abs(Me)?(Te=Me/bt,Math.abs(bt)*Math.sqrt(1+Te*Te)):Me!==0?(Te=bt/Me,Math.abs(Me)*Math.sqrt(1+Te*Te)):0}class Pr{constructor(Me){Me=jn.checkMatrix(Me);let Te=Me.clone(),Oe=Me.rows,Ue=Me.columns,Ye=new Float64Array(Ue),Et,Pt,qt,Vt;for(qt=0;qt=0;Vt--){for(qt=0;qt=0;Pt--){for(Ye=0;Ye=0;Ln--)if(qn[Ln]!==0){for(let pr=Ln+1;pr=0;Ln--){if(Ln0;){let Ln,pr;for(Ln=tr-2;Ln>=-1&&Ln!==-1;Ln--){const Xn=Number.MIN_VALUE+cr*Math.abs(qn[Ln]+Math.abs(qn[Ln+1]));if(Math.abs(mn[Ln])<=Xn||Number.isNaN(mn[Ln])){mn[Ln]=0;break}}if(Ln===tr-2)pr=4;else{let Xn;for(Xn=tr-1;Xn>=Ln&&Xn!==Ln;Xn--){let Rr=(Xn!==tr?Math.abs(mn[Xn]):0)+(Xn!==Ln+1?Math.abs(mn[Xn-1]):0);if(Math.abs(qn[Xn])<=cr*Rr){qn[Xn]=0;break}}Xn===Ln?pr=3:Xn===tr-1?pr=1:(pr=2,Ln=Xn)}switch(Ln++,pr){case 1:{let Xn=mn[tr-2];mn[tr-2]=0;for(let Rr=tr-2;Rr>=Ln;Rr--){let Ja=Gr(qn[Rr],Xn),qa=qn[Rr]/Ja,di=Xn/Ja;if(qn[Rr]=Ja,Rr!==Ln&&(Xn=-di*mn[Rr-1],mn[Rr-1]=qa*mn[Rr-1]),Vt)for(let Qr=0;Qr=qn[Ln+1]);){let Xn=qn[Ln];if(qn[Ln]=qn[Ln+1],qn[Ln+1]=Xn,Vt&&LnTe&&Ye.set(fn,gn,Me.get(fn,gn)/this.s[gn]);let Et=this.U,Pt=Et.rows,qt=Et.columns,Vt=new St(Oe,Pt);for(let fn=0;fnMe&&Te++;return Te}get diagonal(){return Array.from(this.s)}get threshold(){return Number.EPSILON/2*Math.max(this.m,this.n)*this.s[0]}get leftSingularVectors(){return this.U}get rightSingularVectors(){return this.V}get diagonalMatrix(){return St.diag(this.s)}}function Da(bt,Me=!1){return bt=jn.checkMatrix(bt),Me?new Kr(bt).inverse():Qa(bt,St.eye(bt.rows))}function Qa(bt,Me,Te=!1){return bt=jn.checkMatrix(bt),Me=jn.checkMatrix(Me),Te?new Kr(bt).solve(Me):bt.isSquare()?new xr(bt).solve(Me):new Pr(bt).solve(Me)}function Ba(bt){if(bt=St.checkMatrix(bt),bt.isSquare()){if(bt.columns===0)return 1;let Me,Te,Oe,Ue;if(bt.columns===2)return Me=bt.get(0,0),Te=bt.get(0,1),Oe=bt.get(1,0),Ue=bt.get(1,1),Me*Ue-Te*Oe;if(bt.columns===3){let Ye,Et,Pt;return Ye=new Kn(bt,[1,2],[1,2]),Et=new Kn(bt,[1,2],[0,2]),Pt=new Kn(bt,[1,2],[0,1]),Me=bt.get(0,0),Te=bt.get(0,1),Oe=bt.get(0,2),Me*Ba(Ye)-Te*Ba(Et)+Oe*Ba(Pt)}else return new xr(bt).determinant}else throw Error("determinant can only be calculated for a square matrix")}function Ia(bt,Me){let Te=[];for(let Oe=0;OeUe)return new Array(Me.rows+1).fill(0);{let Ye=Me.addRow(Te,[0]);for(let Et=0;EtMe?Ye[Et]=1/Ye[Et]:Ye[Et]=0;return Ue.mmul(St.diag(Ye).mmul(Oe.transpose()))}function Za(bt,Me=bt,Te={}){bt=new St(bt);let Oe=!1;if(typeof Me=="object"&&!St.isMatrix(Me)&&!te.isAnyArray(Me)?(Te=Me,Me=bt,Oe=!0):Me=new St(Me),bt.rows!==Me.rows)throw new TypeError("Both matrices must have the same number of rows");const{center:Ue=!0}=Te;Ue&&(bt=bt.center("column"),Oe||(Me=Me.center("column")));const Ye=bt.transpose().mmul(Me);for(let Et=0;Et0?Ue.set(Ye,Ye+1,Te[Ye]):Te[Ye]<0&&Ue.set(Ye,Ye-1,Te[Ye])}return Ue}}function yr(bt,Me,Te,Oe){let Ue,Ye,Et,Pt,qt,Vt,fn,gn;for(qt=0;qt0;Pt--){for(gn=0,Et=0,Vt=0;Vt0&&(Ye=-Ye),Me[Pt]=gn*Ye,Et=Et-Ue*Ye,Te[Pt-1]=Ue-Ye,qt=0;qtVt)do{for(Ue=Te[Vt],gn=(Te[Vt+1]-Ue)/(2*Me[Vt]),Qn=Gr(gn,1),gn<0&&(Qn=-Qn),Te[Vt]=Me[Vt]/(gn+Qn),Te[Vt+1]=Me[Vt]*(gn+Qn),wn=Te[Vt+1],Ye=Ue-Te[Vt],Et=Vt+2;Et=Vt;Et--)for(fr=nr,nr=qn,Tn=nn,Ue=qn*Me[Et],Ye=qn*gn,Qn=Gr(gn,Me[Et]),Me[Et+1]=nn*Qn,nn=Me[Et]/Qn,qn=gn/Qn,gn=qn*Te[Et]-nn*Ue,Te[Et+1]=Ye+nn*(qn*Ue+nn*Te[Et]),qt=0;qtAr*sr);Te[Vt]=Te[Vt]+Un,Me[Vt]=0}for(Et=0;Et=gn;Vt--)Te[Vt]=Me.get(Vt,gn-1)/Qn,qt+=Te[Vt]*Te[Vt];for(Pt=Math.sqrt(qt),Te[gn]>0&&(Pt=-Pt),qt=qt-Te[gn]*Pt,Te[gn]=Te[gn]-Pt,fn=gn;fn=gn;Vt--)Et+=Te[Vt]*Me.get(Vt,fn);for(Et=Et/qt,Vt=gn;Vt<=Ye;Vt++)Me.set(Vt,fn,Me.get(Vt,fn)-Et*Te[Vt])}for(Vt=0;Vt<=Ye;Vt++){for(Et=0,fn=Ye;fn>=gn;fn--)Et+=Te[fn]*Me.get(Vt,fn);for(Et=Et/qt,fn=gn;fn<=Ye;fn++)Me.set(Vt,fn,Me.get(Vt,fn)-Et*Te[fn])}Te[gn]=Qn*Te[gn],Me.set(gn,gn-1,Qn*Pt)}}for(Vt=0;Vt=Ue+1;gn--)if(Me.get(gn,gn-1)!==0){for(Vt=gn+1;Vt<=Ye;Vt++)Te[Vt]=Me.get(Vt,gn-1);for(fn=gn;fn<=Ye;fn++){for(Pt=0,Vt=gn;Vt<=Ye;Vt++)Pt+=Te[Vt]*Oe.get(Vt,fn);for(Pt=Pt/Te[gn]/Me.get(gn,gn-1),Vt=gn;Vt<=Ye;Vt++)Oe.set(Vt,fn,Oe.get(Vt,fn)+Pt*Te[Vt])}}}function hr(bt,Me,Te,Oe,Ue){let 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He.createElement("ul",(0,Be.Z)({className:Se()(ln,"".concat(ln,"-simple"),(0,ce.Z)({},"".concat(ln,"-disabled"),Vn),Dn),style:Hn,ref:this.paginationNode},Oe),Ue,Ye?He.createElement("li",{title:On?$t.prev_page:null,onClick:this.prev,tabIndex:this.hasPrev()?0:null,onKeyPress:this.runIfEnterPrev,className:Se()("".concat(ln,"-prev"),(0,ce.Z)({},"".concat(ln,"-disabled"),!this.hasPrev())),"aria-disabled":!this.hasPrev()},Ye):null,He.createElement("li",{title:On?"".concat(Zr,"/").concat(Er):null,className:"".concat(ln,"-simple-pager")},He.createElement("input",{type:"text",value:li,disabled:Vn,onKeyDown:this.handleKeyDown,onKeyUp:this.handleKeyUp,onChange:this.handleKeyUp,onBlur:this.handleBlur,size:3}),He.createElement("span",{className:"".concat(ln,"-slash")},"/"),Er),He.createElement("li",{title:On?$t.next_page:null,onClick:this.next,tabIndex:this.hasPrev()?0:null,onKeyPress:this.runIfEnterNext,className:Se()("".concat(ln,"-next"),(0,ce.Z)({},"".concat(ln,"-disabled"),!this.hasNext())),"aria-disabled":!this.hasNext()},this.renderNext(Te)),Ur)}if(Er<=3+bt*2){var 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fr=Zr===nr;yr.push(He.createElement(Ne,{locale:$t,rootPrefixCls:ln,onClick:this.handleChange,onKeyPress:this.runIfEnter,key:nr,page:nr,active:fr,showTitle:On,itemRender:Pr}))}Zr-1>=bt*2&&Zr!==3&&(yr[0]=(0,He.cloneElement)(yr[0],{className:"".concat(ln,"-item-after-jump-prev")}),yr.unshift(ci)),Er-Zr>=bt*2&&Zr!==Er-2&&(yr[yr.length-1]=(0,He.cloneElement)(yr[yr.length-1],{className:"".concat(ln,"-item-before-jump-next")}),yr.push(kn)),wn!==1&&yr.unshift(hr),qn!==Er&&yr.push(Fr)}var mn=!this.hasPrev()||!Er,nn=!this.hasNext()||!Er,Tn=this.renderPrev(Me),Un=this.renderNext(Te);return He.createElement("ul",(0,Be.Z)({className:Se()(ln,Dn,(0,ce.Z)({},"".concat(ln,"-disabled"),Vn)),style:Hn,ref:this.paginationNode},Oe),Ue,Tn?He.createElement("li",{title:On?$t.prev_page:null,onClick:this.prev,tabIndex:mn?null:0,onKeyPress:this.runIfEnterPrev,className:Se()("".concat(ln,"-prev"),(0,ce.Z)({},"".concat(ln,"-disabled"),mn)),"aria-disabled":mn},Tn):null,yr,Un?He.createElement("li",{title:On?$t.next_page:null,onClick:this.next,tabIndex:nn?null:0,onKeyPress:this.runIfEnterNext,className:Se()("".concat(ln,"-next"),(0,ce.Z)({},"".concat(ln,"-disabled"),nn)),"aria-disabled":nn},Un):null,He.createElement(De,{disabled:Vn,locale:$t,rootPrefixCls:ln,selectComponentClass:Ba,selectPrefixCls:Ia,changeSize:this.getShowSizeChanger()?this.changePageSize:null,current:Zr,pageSize:Za,pageSizeOptions:wi,quickGo:this.shouldDisplayQuickJumper()?this.handleChange:null,goButton:ca}))}}],[{key:"getDerivedStateFromProps",value:function(Mt,ln){var Dn={};if("current"in Mt&&(Dn.current=Mt.current,Mt.current!==ln.current&&(Dn.currentInputValue=Dn.current)),"pageSize"in Mt&&Mt.pageSize!==ln.pageSize){var Hn=ln.current,Vn=Qe(Mt.pageSize,ln,Mt);Hn=Hn>Vn?Vn:Hn,"current"in Mt||(Dn.current=Hn,Dn.currentInputValue=Hn),Dn.pageSize=Mt.pageSize}return Dn}}]),Xt}(He.Component);nt.defaultProps={defaultCurrent:1,total:0,defaultPageSize:10,onChange:ze,className:"",selectPrefixCls:"rc-select",prefixCls:"rc-pagination",selectComponentClass:null,hideOnSinglePage:!1,showPrevNextJumpers:!0,showQuickJumper:!1,showLessItems:!1,showTitle:!0,onShowSizeChange:ze,locale:ve.Z,style:{},itemRender:Xe,totalBoundaryShowSizeChanger:50};var $e=nt,qe=Ie(22075),lt=Ie(36355),it=Ie(19716),ft=Ie(8628),rt=Ie(9763),ct=Ie(57809);const yt=vt=>He.createElement(ct.default,Object.assign({},vt,{showSearch:!0,size:"small"})),mt=vt=>He.createElement(ct.default,Object.assign({},vt,{showSearch:!0,size:"middle"}));yt.Option=ct.default.Option,mt.Option=ct.default.Option;var ht=Ie(9937),gt=Ie(17313),Wt=Ie(83116),Zt=Ie(37613);const en=vt=>{const{componentCls:At}=vt;return{[`${At}-disabled`]:{"&, &:hover":{cursor:"not-allowed",[`${At}-item-link`]:{color:vt.colorTextDisabled,cursor:"not-allowed"}},"&:focus-visible":{cursor:"not-allowed",[`${At}-item-link`]:{color:vt.colorTextDisabled,cursor:"not-allowed"}}},[`&${At}-disabled`]:{cursor:"not-allowed",[`${At}-item`]:{cursor:"not-allowed","&:hover, &:active":{backgroundColor:"transparent"},a:{color:vt.colorTextDisabled,backgroundColor:"transparent",border:"none",cursor:"not-allowed"},"&-active":{borderColor:vt.colorBorder,backgroundColor:vt.itemActiveBgDisabled,"&:hover, &:active":{backgroundColor:vt.itemActiveBgDisabled},a:{color:vt.itemActiveColorDisabled}}},[`${At}-item-link`]:{color:vt.colorTextDisabled,cursor:"not-allowed","&:hover, &:active":{backgroundColor:"transparent"},[`${At}-simple&`]:{backgroundColor:"transparent","&:hover, &:active":{backgroundColor:"transparent"}}},[`${At}-simple-pager`]:{color:vt.colorTextDisabled},[`${At}-jump-prev, ${At}-jump-next`]:{[`${At}-item-link-icon`]:{opacity:0},[`${At}-item-ellipsis`]:{opacity:1}}},[`&${At}-simple`]:{[`${At}-prev, ${At}-next`]:{[`&${At}-disabled ${At}-item-link`]:{"&:hover, &:active":{backgroundColor:"transparent"}}}}}},dn=vt=>{const{componentCls:At}=vt;return{[`&${At}-mini ${At}-total-text, &${At}-mini ${At}-simple-pager`]:{height:vt.itemSizeSM,lineHeight:`${vt.itemSizeSM}px`},[`&${At}-mini ${At}-item`]:{minWidth:vt.itemSizeSM,height:vt.itemSizeSM,margin:0,lineHeight:`${vt.itemSizeSM-2}px`},[`&${At}-mini:not(${At}-disabled) ${At}-item:not(${At}-item-active)`]:{backgroundColor:"transparent",borderColor:"transparent","&:hover":{backgroundColor:vt.colorBgTextHover},"&:active":{backgroundColor:vt.colorBgTextActive}},[`&${At}-mini ${At}-prev, &${At}-mini ${At}-next`]:{minWidth:vt.itemSizeSM,height:vt.itemSizeSM,margin:0,lineHeight:`${vt.itemSizeSM}px`},[`&${At}-mini:not(${At}-disabled)`]:{[`${At}-prev, ${At}-next`]:{[`&:hover ${At}-item-link`]:{backgroundColor:vt.colorBgTextHover},[`&:active ${At}-item-link`]:{backgroundColor:vt.colorBgTextActive},[`&${At}-disabled:hover ${At}-item-link`]:{backgroundColor:"transparent"}}},[` &${At}-mini ${At}-prev ${At}-item-link, &${At}-mini ${At}-next ${At}-item-link `]:{backgroundColor:"transparent",borderColor:"transparent","&::after":{height:vt.itemSizeSM,lineHeight:`${vt.itemSizeSM}px`}},[`&${At}-mini ${At}-jump-prev, &${At}-mini ${At}-jump-next`]:{height:vt.itemSizeSM,marginInlineEnd:0,lineHeight:`${vt.itemSizeSM}px`},[`&${At}-mini ${At}-options`]:{marginInlineStart:vt.paginationMiniOptionsMarginInlineStart,"&-size-changer":{top:vt.miniOptionsSizeChangerTop},"&-quick-jumper":{height:vt.itemSizeSM,lineHeight:`${vt.itemSizeSM}px`,input:Object.assign(Object.assign({},(0,ht.x0)(vt)),{width:vt.paginationMiniQuickJumperInputWidth,height:vt.controlHeightSM})}}}},Lt=vt=>{const{componentCls:At}=vt;return{[` &${At}-simple ${At}-prev, &${At}-simple ${At}-next - `]:{height:vt.itemSizeSM,lineHeight:`${vt.itemSizeSM}px`,verticalAlign:"top",[`${At}-item-link`]:{height:vt.itemSizeSM,backgroundColor:"transparent",border:0,"&:hover":{backgroundColor:vt.colorBgTextHover},"&:active":{backgroundColor:vt.colorBgTextActive},"&::after":{height:vt.itemSizeSM,lineHeight:`${vt.itemSizeSM}px`}}},[`&${At}-simple ${At}-simple-pager`]:{display:"inline-block",height:vt.itemSizeSM,marginInlineEnd:vt.marginXS,input:{boxSizing:"border-box",height:"100%",marginInlineEnd:vt.marginXS,padding:`0 ${vt.paginationItemPaddingInline}px`,textAlign:"center",backgroundColor:vt.itemInputBg,border:`${vt.lineWidth}px ${vt.lineType} ${vt.colorBorder}`,borderRadius:vt.borderRadius,outline:"none",transition:`border-color ${vt.motionDurationMid}`,color:"inherit","&:hover":{borderColor:vt.colorPrimary},"&:focus":{borderColor:vt.colorPrimaryHover,boxShadow:`${vt.inputOutlineOffset}px 0 ${vt.controlOutlineWidth}px ${vt.controlOutline}`},"&[disabled]":{color:vt.colorTextDisabled,backgroundColor:vt.colorBgContainerDisabled,borderColor:vt.colorBorder,cursor:"not-allowed"}}}}},on=vt=>{const{componentCls:At}=vt;return{[`${At}-jump-prev, ${At}-jump-next`]:{outline:0,[`${At}-item-container`]:{position:"relative",[`${At}-item-link-icon`]:{color:vt.colorPrimary,fontSize:vt.fontSizeSM,opacity:0,transition:`all ${vt.motionDurationMid}`,"&-svg":{top:0,insetInlineEnd:0,bottom:0,insetInlineStart:0,margin:"auto"}},[`${At}-item-ellipsis`]:{position:"absolute",top:0,insetInlineEnd:0,bottom:0,insetInlineStart:0,display:"block",margin:"auto",color:vt.colorTextDisabled,fontFamily:"Arial, Helvetica, sans-serif",letterSpacing:vt.paginationEllipsisLetterSpacing,textAlign:"center",textIndent:vt.paginationEllipsisTextIndent,opacity:1,transition:`all ${vt.motionDurationMid}`}},"&:hover":{[`${At}-item-link-icon`]:{opacity:1},[`${At}-item-ellipsis`]:{opacity:0}}},[` + `]:{height:vt.itemSizeSM,lineHeight:`${vt.itemSizeSM}px`,verticalAlign:"top",[`${At}-item-link`]:{height:vt.itemSizeSM,backgroundColor:"transparent",border:0,"&:hover":{backgroundColor:vt.colorBgTextHover},"&:active":{backgroundColor:vt.colorBgTextActive},"&::after":{height:vt.itemSizeSM,lineHeight:`${vt.itemSizeSM}px`}}},[`&${At}-simple ${At}-simple-pager`]:{display:"inline-block",height:vt.itemSizeSM,marginInlineEnd:vt.marginXS,input:{boxSizing:"border-box",height:"100%",marginInlineEnd:vt.marginXS,padding:`0 ${vt.paginationItemPaddingInline}px`,textAlign:"center",backgroundColor:vt.itemInputBg,border:`${vt.lineWidth}px ${vt.lineType} ${vt.colorBorder}`,borderRadius:vt.borderRadius,outline:"none",transition:`border-color ${vt.motionDurationMid}`,color:"inherit","&:hover":{borderColor:vt.colorPrimary},"&:focus":{borderColor:vt.colorPrimaryHover,boxShadow:`${vt.inputOutlineOffset}px 0 ${vt.controlOutlineWidth}px ${vt.controlOutline}`},"&[disabled]":{color:vt.colorTextDisabled,backgroundColor:vt.colorBgContainerDisabled,borderColor:vt.colorBorder,cursor:"not-allowed"}}}}},an=vt=>{const{componentCls:At}=vt;return{[`${At}-jump-prev, ${At}-jump-next`]:{outline:0,[`${At}-item-container`]:{position:"relative",[`${At}-item-link-icon`]:{color:vt.colorPrimary,fontSize:vt.fontSizeSM,opacity:0,transition:`all 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Wt=mt.node(gt),Zt=ht.node(gt);Wt&&(Wt.x=Zt.x,Wt.y=Zt.y,ht.children(gt).length&&(Wt.width=Zt.width,Wt.height=Zt.height))}),Be.forEach(mt.edges(),function(gt){var Wt=mt.edge(gt),Zt=ht.edge(gt);Wt.points=Zt.points,Be.has(Zt,"x")&&(Wt.x=Zt.x,Wt.y=Zt.y)}),mt.graph().width=ht.graph().width,mt.graph().height=ht.graph().height}var oe=["nodesep","edgesep","ranksep","marginx","marginy"],de={ranksep:50,edgesep:20,nodesep:50,rankdir:"tb"},he=["acyclicer","ranker","rankdir","align"],ie=["width","height"],ue={width:0,height:0},ve=["minlen","weight","width","height","labeloffset"],xe={minlen:1,weight:1,width:0,height:0,labeloffset:10,labelpos:"r"},De=["labelpos"];function Re(mt){var ht=new ce({multigraph:!0,compound:!0}),gt=yt(mt.graph());return ht.setGraph(Be.merge({},de,ct(gt,oe),Be.pick(gt,he))),Be.forEach(mt.nodes(),function(Wt){var Zt=yt(mt.node(Wt));ht.setNode(Wt,Be.defaults(ct(Zt,ie),ue)),ht.setParent(Wt,mt.parent(Wt))}),Be.forEach(mt.edges(),function(Wt){var Zt=yt(mt.edge(Wt));ht.setEdge(Wt,Be.merge({},xe,ct(Zt,ve),Be.pick(Zt,De)))}),ht}function Ne(mt){var ht=mt.graph();ht.ranksep/=2,Be.forEach(mt.edges(),function(gt){var Wt=mt.edge(gt);Wt.minlen*=2,Wt.labelpos.toLowerCase()!=="c"&&(ht.rankdir==="TB"||ht.rankdir==="BT"?Wt.width+=Wt.labeloffset:Wt.height+=Wt.labeloffset)})}function Ue(mt){Be.forEach(mt.edges(),function(ht){var gt=mt.edge(ht);if(gt.width&>.height){var Wt=mt.node(ht.v),Zt=mt.node(ht.w),en={rank:(Zt.rank-Wt.rank)/2+Wt.rank,e:ht};Se.addDummyNode(mt,"edge-proxy",en,"_ep")}})}function Ge(mt){var ht=0;Be.forEach(mt.nodes(),function(gt){var Wt=mt.node(gt);Wt.borderTop&&(Wt.minRank=mt.node(Wt.borderTop).rank,Wt.maxRank=mt.node(Wt.borderBottom).rank,ht=Be.max(ht,Wt.maxRank))}),mt.graph().maxRank=ht}function Xe(mt){Be.forEach(mt.nodes(),function(ht){var gt=mt.node(ht);gt.dummy==="edge-proxy"&&(mt.edge(gt.e).labelRank=gt.rank,mt.removeNode(ht))})}function Qe(mt){var ht=Number.POSITIVE_INFINITY,gt=0,Wt=Number.POSITIVE_INFINITY,Zt=0,en=mt.graph(),dn=en.marginx||0,Lt=en.marginy||0;function on(an){var Mn=an.x,Bn=an.y,sn=an.width,tn=an.height;ht=Math.min(ht,Mn-sn/2),gt=Math.max(gt,Mn+sn/2),Wt=Math.min(Wt,Bn-tn/2),Zt=Math.max(Zt,Bn+tn/2)}Be.forEach(mt.nodes(),function(an){on(mt.node(an))}),Be.forEach(mt.edges(),function(an){var Mn=mt.edge(an);Be.has(Mn,"x")&&on(Mn)}),ht-=dn,Wt-=Lt,Be.forEach(mt.nodes(),function(an){var Mn=mt.node(an);Mn.x-=ht,Mn.y-=Wt}),Be.forEach(mt.edges(),function(an){var Mn=mt.edge(an);Be.forEach(Mn.points,function(Bn){Bn.x-=ht,Bn.y-=Wt}),Be.has(Mn,"x")&&(Mn.x-=ht),Be.has(Mn,"y")&&(Mn.y-=Wt)}),en.width=gt-ht+dn,en.height=Zt-Wt+Lt}function nt(mt){Be.forEach(mt.edges(),function(ht){var gt=mt.edge(ht),Wt=mt.node(ht.v),Zt=mt.node(ht.w),en,dn;gt.points?(en=gt.points[0],dn=gt.points[gt.points.length-1]):(gt.points=[],en=Zt,dn=Wt),gt.points.unshift(Se.intersectRect(Wt,en)),gt.points.push(Se.intersectRect(Zt,dn))})}function $e(mt){Be.forEach(mt.edges(),function(ht){var gt=mt.edge(ht);if(Be.has(gt,"x"))switch((gt.labelpos==="l"||gt.labelpos==="r")&&(gt.width-=gt.labeloffset),gt.labelpos){case"l":gt.x-=gt.width/2+gt.labeloffset;break;case"r":gt.x+=gt.width/2+gt.labeloffset;break}})}function qe(mt){Be.forEach(mt.edges(),function(ht){var gt=mt.edge(ht);gt.reversed&>.points.reverse()})}function ut(mt){Be.forEach(mt.nodes(),function(ht){if(mt.children(ht).length){var gt=mt.node(ht),Wt=mt.node(gt.borderTop),Zt=mt.node(gt.borderBottom),en=mt.node(Be.last(gt.borderLeft)),dn=mt.node(Be.last(gt.borderRight));gt.width=Math.abs(dn.x-en.x),gt.height=Math.abs(Zt.y-Wt.y),gt.x=en.x+gt.width/2,gt.y=Wt.y+gt.height/2}}),Be.forEach(mt.nodes(),function(ht){mt.node(ht).dummy==="border"&&mt.removeNode(ht)})}function at(mt){Be.forEach(mt.edges(),function(ht){if(ht.v===ht.w){var gt=mt.node(ht.v);gt.selfEdges||(gt.selfEdges=[]),gt.selfEdges.push({e:ht,label:mt.edge(ht)}),mt.removeEdge(ht)}})}function ft(mt){var ht=Se.buildLayerMatrix(mt);Be.forEach(ht,function(gt){var Wt=0;Be.forEach(gt,function(Zt,en){var dn=mt.node(Zt);dn.order=en+Wt,Be.forEach(dn.selfEdges,function(Lt){Se.addDummyNode(mt,"selfedge",{width:Lt.label.width,height:Lt.label.height,rank:dn.rank,order:en+ ++Wt,e:Lt.e,label:Lt.label},"_se")}),delete dn.selfEdges})})}function rt(mt){Be.forEach(mt.nodes(),function(ht){var gt=mt.node(ht);if(gt.dummy==="selfedge"){var Wt=mt.node(gt.e.v),Zt=Wt.x+Wt.width/2,en=Wt.y,dn=gt.x-Zt,Lt=Wt.height/2;mt.setEdge(gt.e,gt.label),mt.removeNode(ht),gt.label.points=[{x:Zt+2*dn/3,y:en-Lt},{x:Zt+5*dn/6,y:en-Lt},{x:Zt+dn,y:en},{x:Zt+5*dn/6,y:en+Lt},{x:Zt+2*dn/3,y:en+Lt}],gt.label.x=gt.x,gt.label.y=gt.y}})}function ct(mt,ht){return Be.mapValues(Be.pick(mt,ht),Number)}function yt(mt){var ht={};return Be.forEach(mt,function(gt,Wt){ht[Wt.toLowerCase()]=gt}),ht}},72361:function(xt,Tt,Ie){var Be;try{Be={cloneDeep:Ie(20250),constant:Ie(13503),defaults:Ie(28548),each:Ie(76934),filter:Ie(64725),find:Ie(79785),flatten:Ie(40151),forEach:Ie(99204),forIn:Ie(23190),has:Ie(99946),isUndefined:Ie(16513),last:Ie(10611),map:Ie(9924),mapValues:Ie(70642),max:Ie(95987),merge:Ie(28440),min:Ie(73376),minBy:Ie(83296),now:Ie(5795),pick:Ie(89409),range:Ie(60859),reduce:Ie(16473),sortBy:Ie(351),uniqueId:Ie(95708),values:Ie(81229),zipObject:Ie(65441)}}catch(He){}Be||(Be=window._),xt.exports=Be},31733:function(xt,Tt,Ie){var Be=Ie(72361),He=Ie(53063);xt.exports={run:Fe,cleanup:ge};function Fe(Ee){var be=He.addDummyNode(Ee,"root",{},"_root"),we=_e(Ee),pe=Be.max(Be.values(we))-1,ye=2*pe+1;Ee.graph().nestingRoot=be,Be.forEach(Ee.edges(),function(ce){Ee.edge(ce).minlen*=ye});var Se=Pe(Ee)+1;Be.forEach(Ee.children(),function(ce){Ce(Ee,be,ye,Se,pe,we,ce)}),Ee.graph().nodeRankFactor=ye}function Ce(Ee,be,we,pe,ye,Se,ce){var te=Ee.children(ce);if(!te.length){ce!==be&&Ee.setEdge(be,ce,{weight:0,minlen:we});return}var ne=He.addBorderNode(Ee,"_bt"),le=He.addBorderNode(Ee,"_bb"),oe=Ee.node(ce);Ee.setParent(ne,ce),oe.borderTop=ne,Ee.setParent(le,ce),oe.borderBottom=le,Be.forEach(te,function(de){Ce(Ee,be,we,pe,ye,Se,de);var he=Ee.node(de),ie=he.borderTop?he.borderTop:de,ue=he.borderBottom?he.borderBottom:de,ve=he.borderTop?pe:2*pe,xe=ie!==ue?1:ye-Se[ce]+1;Ee.setEdge(ne,ie,{weight:ve,minlen:xe,nestingEdge:!0}),Ee.setEdge(ue,le,{weight:ve,minlen:xe,nestingEdge:!0})}),Ee.parent(ce)||Ee.setEdge(be,ne,{weight:0,minlen:ye+Se[ce]})}function _e(Ee){var be={};function we(pe,ye){var Se=Ee.children(pe);Se&&Se.length&&Be.forEach(Se,function(ce){we(ce,ye+1)}),be[pe]=ye}return Be.forEach(Ee.children(),function(pe){we(pe,1)}),be}function Pe(Ee){return Be.reduce(Ee.edges(),function(be,we){return be+Ee.edge(we).weight},0)}function ge(Ee){var be=Ee.graph();Ee.removeNode(be.nestingRoot),delete be.nestingRoot,Be.forEach(Ee.edges(),function(we){var pe=Ee.edge(we);pe.nestingEdge&&Ee.removeEdge(we)})}},27163:function(xt,Tt,Ie){"use strict";var Be=Ie(72361),He=Ie(53063);xt.exports={run:Fe,undo:_e};function Fe(Pe){Pe.graph().dummyChains=[],Be.forEach(Pe.edges(),function(ge){Ce(Pe,ge)})}function Ce(Pe,ge){var Ee=ge.v,be=Pe.node(Ee).rank,we=ge.w,pe=Pe.node(we).rank,ye=ge.name,Se=Pe.edge(ge),ce=Se.labelRank;if(pe!==be+1){Pe.removeEdge(ge);var te,ne,le;for(le=0,++be;be0;)ce%2&&(te+=pe[ce+1]),ce=ce-1>>1,pe[ce]+=Se.weight;ye+=Se.weight*te})),ye}},62852:function(xt,Tt,Ie){"use strict";var Be=Ie(72361),He=Ie(18043),Fe=Ie(45456),Ce=Ie(86490),_e=Ie(59105),Pe=Ie(52205),ge=Ie(76626).Graph,Ee=Ie(53063);xt.exports=be;function be(Se){var ce=Ee.maxRank(Se),te=we(Se,Be.range(1,ce+1),"inEdges"),ne=we(Se,Be.range(ce-1,-1,-1),"outEdges"),le=He(Se);ye(Se,le);for(var oe=Number.POSITIVE_INFINITY,de,he=0,ie=0;ie<4;++he,++ie){pe(he%2?te:ne,he%4>=2),le=Ee.buildLayerMatrix(Se);var 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ve=_e(Ee,ue.v,we,pe);ne[ue.v]=ve,Be.has(ve,"barycenter")&&ge(ue,ve)}});var oe=Fe(le,we);Pe(oe,ne);var de=Ce(oe,pe);if(ce&&(de.vs=Be.flatten([ce,de.vs,te],!0),Ee.predecessors(ce).length)){var he=Ee.node(Ee.predecessors(ce)[0]),ie=Ee.node(Ee.predecessors(te)[0]);Be.has(de,"barycenter")||(de.barycenter=0,de.weight=0),de.barycenter=(de.barycenter*de.weight+he.order+ie.order)/(de.weight+2),de.weight+=2}return de}function Pe(Ee,be){Be.forEach(Ee,function(we){we.vs=Be.flatten(we.vs.map(function(pe){return be[pe]?be[pe].vs:pe}),!0)})}function ge(Ee,be){Be.isUndefined(Ee.barycenter)?(Ee.barycenter=be.barycenter,Ee.weight=be.weight):(Ee.barycenter=(Ee.barycenter*Ee.weight+be.barycenter*be.weight)/(Ee.weight+be.weight),Ee.weight+=be.weight)}},1349:function(xt,Tt,Ie){var Be=Ie(72361),He=Ie(53063);xt.exports=Fe;function Fe(Pe,ge){var Ee=He.partition(Pe,function(ne){return Be.has(ne,"barycenter")}),be=Ee.lhs,we=Be.sortBy(Ee.rhs,function(ne){return-ne.i}),pe=[],ye=0,Se=0,ce=0;be.sort(_e(!!ge)),ce=Ce(pe,we,ce),Be.forEach(be,function(ne){ce+=ne.vs.length,pe.push(ne.vs),ye+=ne.barycenter*ne.weight,Se+=ne.weight,ce=Ce(pe,we,ce)});var te={vs:Be.flatten(pe,!0)};return Se&&(te.barycenter=ye/Se,te.weight=Se),te}function Ce(Pe,ge,Ee){for(var be;ge.length&&(be=Be.last(ge)).i<=Ee;)ge.pop(),Pe.push(be.vs),Ee++;return Ee}function _e(Pe){return function(ge,Ee){return ge.barycenterEe.barycenter?1:Pe?Ee.i-ge.i:ge.i-Ee.i}}},71970:function(xt,Tt,Ie){var Be=Ie(72361);xt.exports=He;function He(_e){var Pe=Ce(_e);Be.forEach(_e.graph().dummyChains,function(ge){for(var Ee=_e.node(ge),be=Ee.edgeObj,we=Fe(_e,Pe,be.v,be.w),pe=we.path,ye=we.lca,Se=0,ce=pe[Se],te=!0;ge!==be.w;){if(Ee=_e.node(ge),te){for(;(ce=pe[Se])!==ye&&_e.node(ce).maxRankpe||ye>Pe[Se].lim));for(ce=Se,Se=Ee;(Se=_e.parent(Se))!==ce;)we.push(Se);return{path:be.concat(we.reverse()),lca:ce}}function Ce(_e){var Pe={},ge=0;function Ee(be){var we=ge;Be.forEach(_e.children(be),Ee),Pe[be]={low:we,lim:ge++}}return Be.forEach(_e.children(),Ee),Pe}},92080:function(xt,Tt,Ie){"use strict";var Be=Ie(72361),He=Ie(76626).Graph,Fe=Ie(53063);xt.exports={positionX:te,findType1Conflicts:Ce,findType2Conflicts:_e,addConflict:ge,hasConflict:Ee,verticalAlignment:be,horizontalCompaction:we,alignCoordinates:Se,findSmallestWidthAlignment:ye,balance:ce};function Ce(oe,de){var he={};function ie(ue,ve){var xe=0,De=0,Re=ue.length,Ne=Be.last(ve);return Be.forEach(ve,function(Ue,Ge){var Xe=Pe(oe,Ue),Qe=Xe?oe.node(Xe).order:Re;(Xe||Ue===Ne)&&(Be.forEach(ve.slice(De,Ge+1),function(nt){Be.forEach(oe.predecessors(nt),function($e){var qe=oe.node($e),ut=qe.order;(utNe)&&ge(he,Xe,Ue)})})}function ue(ve,xe){var De=-1,Re,Ne=0;return Be.forEach(xe,function(Ue,Ge){if(oe.node(Ue).dummy==="border"){var 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qe=De*Ge+Re*Xe+Ne*Qe+Ue*nt,qe<0&&(qe=-qe,Ge=-Ge,Xe=-Xe,Qe=-Qe,nt=-nt),1-qe>1e-6?($e=Math.acos(qe),ut=Math.sin($e),at=Math.sin((1-xe)*$e)/ut,ft=Math.sin(xe*$e)/ut):(at=1-xe,ft=xe),ie[0]=at*De+ft*Ge,ie[1]=at*Re+ft*Xe,ie[2]=at*Ne+ft*Qe,ie[3]=at*Ue+ft*nt,ie},he.invert=function(ie,ue){var ve=ue[0],xe=ue[1],De=ue[2],Re=ue[3],Ne=ve*ve+xe*xe+De*De+Re*Re,Ue=Ne?1/Ne:0;return ie[0]=-ve*Ue,ie[1]=-xe*Ue,ie[2]=-De*Ue,ie[3]=Re*Ue,ie},he.conjugate=function(ie,ue){return ie[0]=-ue[0],ie[1]=-ue[1],ie[2]=-ue[2],ie[3]=ue[3],ie},he.length=te.length,he.len=he.length,he.squaredLength=te.squaredLength,he.sqrLen=he.squaredLength,he.normalize=te.normalize,he.fromMat3=function(ie,ue){var ve=ue[0]+ue[4]+ue[8],xe;if(ve>0)xe=Math.sqrt(ve+1),ie[3]=.5*xe,xe=.5/xe,ie[0]=(ue[5]-ue[7])*xe,ie[1]=(ue[6]-ue[2])*xe,ie[2]=(ue[1]-ue[3])*xe;else{var De=0;ue[4]>ue[0]&&(De=1),ue[8]>ue[De*3+De]&&(De=2);var Re=(De+1)%3,Ne=(De+2)%3;xe=Math.sqrt(ue[De*3+De]-ue[Re*3+Re]-ue[Ne*3+Ne]+1),ie[De]=.5*xe,xe=.5/xe,ie[3]=(ue[Re*3+Ne]-ue[Ne*3+Re])*xe,ie[Re]=(ue[Re*3+De]+ue[De*3+Re])*xe,ie[Ne]=(ue[Ne*3+De]+ue[De*3+Ne])*xe}return ie},he.str=function(ie){return"quat("+ie[0]+", "+ie[1]+", "+ie[2]+", "+ie[3]+")"},typeof ge!="undefined"&&(ge.quat=he)}(Pe.exports)})(this)},function(He,Fe,Ce){"use strict";var _e=Ce(24),Pe=Ce(46),ge=Ce(5),Ee=Ce(6),be=Ce(7),we=Ce(17),pe=Ce(28),ye=Ce(13),Se=Ce(0),ce=Ce.n(Se),te=Ce(29),ne=Ce(53),le=Ce.n(ne),oe=Ce(54),de=Ce(106),he=Ce(107),ie=Ce(113),ue=Ce(114),ve=Ce(3),xe=Ce(68),De=Ce(37),Re=Ce(69),Ne=Ce(116),Ue=Ce(70),Ge=Ce(71),Xe=Ce(72),Qe=Ce(36),nt=Ce(30),$e=Ce(23),qe=Ce(4),ut=Ce(117),at=Ce(50),ft=Ce(118),rt=Ce(119),ct=Ce(120),yt=Ce(9),mt=Ce(67),ht=Ce(49),gt=Ce(15),Wt=Ce(52),Zt=Ce(121),en=Ce(126),dn=Ce(63),Lt=Ce(127),on=Ce(128),an=Ce(129),Mn=Ce(130),Bn=Ce(131),sn=Ce(132);ce.a.util.extend(pe.a.prototype,Zt.a),be.a.import(en.a),be.a.import(dn.a),be.a.import(Lt.a),be.a.import(on.a),be.a.import(an.a),be.a.import(Mn.a),be.a.import(Bn.a),be.a.import(sn.a);function tn(Mt){return!Mt||Mt==="none"}function Gt(Mt){return Mt instanceof HTMLCanvasElement||Mt instanceof HTMLImageElement||Mt instanceof Image}function It(Mt){return Mt.getZr&&Mt.setOption}var St=te.a.prototype.addToScene,Yt=te.a.prototype.removeFromScene;te.a.prototype.addToScene=function(Mt){if(St.call(this,Mt),this.__zr){var ln=this.__zr;Mt.traverse(function(Dn){Dn.__zr=ln,Dn.addAnimatorsToZr&&Dn.addAnimatorsToZr(ln)})}},te.a.prototype.removeFromScene=function(Mt){Yt.call(this,Mt),Mt.traverse(function(ln){var Dn=ln.__zr;ln.__zr=null,Dn&&ln.removeAnimatorsFromZr&&ln.removeAnimatorsFromZr(Dn)})},we.a.prototype.setTextureImage=function(Mt,ln,Dn,Hn){if(this.shader){var Vn=Dn.getZr(),Kn=this,er;return Kn.autoUpdateTextureStatus=!1,Kn.disableTexture(Mt),tn(ln)||(er=vt.loadTexture(ln,Dn,Hn,function($t){Kn.enableTexture(Mt),Vn&&Vn.refresh()}),Kn.set(Mt,er)),er}};var vt={};vt.Renderer=Pe.a,vt.Node=pe.a,vt.Mesh=_e.a,vt.Shader=be.a,vt.Material=we.a,vt.Texture=Ee.a,vt.Texture2D=ge.a,vt.Geometry=ye.a,vt.SphereGeometry=xe.a,vt.PlaneGeometry=De.a,vt.CubeGeometry=Re.a,vt.AmbientLight=Ne.a,vt.DirectionalLight=Ue.a,vt.PointLight=Ge.a,vt.SpotLight=Xe.a,vt.PerspectiveCamera=Qe.a,vt.OrthographicCamera=nt.a,vt.Vector2=$e.a,vt.Vector3=qe.a,vt.Vector4=ut.a,vt.Quaternion=at.a,vt.Matrix2=ft.a,vt.Matrix2d=rt.a,vt.Matrix3=ct.a,vt.Matrix4=yt.a,vt.Plane=mt.a,vt.Ray=ht.a,vt.BoundingBox=gt.a,vt.Frustum=Wt.a;var At=oe.a.createBlank("rgba(255,255,255,0)").image;function Xt(Mt){return Math.pow(2,Math.round(Math.log(Mt)/Math.LN2))}function Ft(Mt){if((Mt.wrapS===Ee.a.REPEAT||Mt.wrapT===Ee.a.REPEAT)&&Mt.image){var ln=Xt(Mt.width),Dn=Xt(Mt.height);if(ln!==Mt.width||Dn!==Mt.height){var Hn=document.createElement("canvas");Hn.width=ln,Hn.height=Dn;var Vn=Hn.getContext("2d");Vn.drawImage(Mt.image,0,0,ln,Dn),Mt.image=Hn}}}vt.loadTexture=function(Mt,ln,Dn,Hn){typeof Dn=="function"&&(Hn=Dn,Dn={}),Dn=Dn||{};for(var Vn=Object.keys(Dn).sort(),Kn="",er=0;er3?ln[3]=Mt[3]:ln[3]=1,ln):(ln=ce.a.color.parse(Mt||"#000",ln)||[0,0,0,0],ln[0]/=255,ln[1]/=255,ln[2]/=255,ln)},vt.directionFromAlphaBeta=function(Mt,ln){var Dn=Mt/180*Math.PI+Math.PI/2,Hn=-ln/180*Math.PI+Math.PI/2,Vn=[],Kn=Math.sin(Dn);return Vn[0]=Kn*Math.cos(Hn),Vn[1]=-Math.cos(Dn),Vn[2]=Kn*Math.sin(Hn),Vn},vt.getShadowResolution=function(Mt){var ln=1024;switch(Mt){case"low":ln=512;break;case"medium":break;case"high":ln=2048;break;case"ultra":ln=4096;break}return ln},vt.COMMON_SHADERS=["lambert","color","realistic","hatching"],vt.createShader=function(Mt){var ln=be.a.source(Mt+".vertex"),Dn=be.a.source(Mt+".fragment");ln||console.error("Vertex shader of '%s' not exits",Mt),Dn||console.error("Fragment shader of '%s' not exits",Mt);var Hn=new be.a(ln,Dn);return Hn.name=Mt,Hn},vt.createMaterial=function(Mt,ln){ln instanceof Array||(ln=[ln]);var Dn=vt.createShader(Mt),Hn=new we.a({shader:Dn});return ln.forEach(function(Vn){typeof Vn=="string"&&Hn.define(Vn)}),Hn},vt.setMaterialFromModel=function(Mt,ln,Dn,Hn){ln.autoUpdateTextureStatus=!1;var Vn=Dn.getModel(Mt+"Material"),Kn=Vn.get("detailTexture"),er=ve.a.firstNotNull(Vn.get("textureTiling"),1),$t=ve.a.firstNotNull(Vn.get("textureOffset"),0);typeof er=="number"&&(er=[er,er]),typeof $t=="number"&&($t=[$t,$t]);var vn=er[0]>1||er[1]>1?vt.Texture.REPEAT:vt.Texture.CLAMP_TO_EDGE,jn={anisotropic:8,wrapS:vn,wrapT:vn};if(Mt==="realistic"){var Tn=Vn.get("roughness"),xr=Vn.get("metalness");xr!=null?isNaN(xr)&&(ln.setTextureImage("metalnessMap",xr,Hn,jn),xr=ve.a.firstNotNull(Vn.get("metalnessAdjust"),.5)):xr=0,Tn!=null?isNaN(Tn)&&(ln.setTextureImage("roughnessMap",Tn,Hn,jn),Tn=ve.a.firstNotNull(Vn.get("roughnessAdjust"),.5)):Tn=.5;var jr=Vn.get("normalTexture");ln.setTextureImage("detailMap",Kn,Hn,jn),ln.setTextureImage("normalMap",jr,Hn,jn),ln.set({roughness:Tn,metalness:xr,detailUvRepeat:er,detailUvOffset:$t})}else if(Mt==="lambert")ln.setTextureImage("detailMap",Kn,Hn,jn),ln.set({detailUvRepeat:er,detailUvOffset:$t});else if(Mt==="color")ln.setTextureImage("detailMap",Kn,Hn,jn),ln.set({detailUvRepeat:er,detailUvOffset:$t});else if(Mt==="hatching"){var wr=Vn.get("hatchingTextures")||[];wr.length<6&&console.error("Invalid hatchingTextures.");for(var Vr=0;Vr<6;Vr++)ln.setTextureImage("hatch"+(Vr+1),wr[Vr],Hn,{anisotropic:8,wrapS:vt.Texture.REPEAT,wrapT:vt.Texture.REPEAT});ln.set({detailUvRepeat:er,detailUvOffset:$t})}},vt.updateVertexAnimation=function(Mt,ln,Dn,Hn){var Vn=Hn.get("animation"),Kn=Hn.get("animationDurationUpdate"),er=Hn.get("animationEasingUpdate"),$t=Dn.shadowDepthMaterial;if(Vn&&ln&&Kn>0&&ln.geometry.vertexCount===Dn.geometry.vertexCount){Dn.material.define("vertex","VERTEX_ANIMATION"),Dn.ignorePreZ=!0,$t&&$t.define("vertex","VERTEX_ANIMATION");for(var vn=0;vnle?le:te}var ye=Math.atan2,Se=Math.asin,ce=Math.abs;Ee.eulerFromQuat=function(te,ne,Ne){te._dirty=!0,ne=ne.array;var oe=te.array,de=ne[0],he=ne[1],ie=ne[2],ue=ne[3],ve=de*de,xe=he*he,De=ie*ie,Re=ue*ue,Ne=(Ne||"XYZ").toUpperCase();switch(Ne){case"XYZ":oe[0]=ye(2*(de*ue-he*ie),Re-ve-xe+De),oe[1]=Se(pe(2*(de*ie+he*ue),-1,1)),oe[2]=ye(2*(ie*ue-de*he),Re+ve-xe-De);break;case"YXZ":oe[0]=Se(pe(2*(de*ue-he*ie),-1,1)),oe[1]=ye(2*(de*ie+he*ue),Re-ve-xe+De),oe[2]=ye(2*(de*he+ie*ue),Re-ve+xe-De);break;case"ZXY":oe[0]=Se(pe(2*(de*ue+he*ie),-1,1)),oe[1]=ye(2*(he*ue-ie*de),Re-ve-xe+De),oe[2]=ye(2*(ie*ue-de*he),Re-ve+xe-De);break;case"ZYX":oe[0]=ye(2*(de*ue+ie*he),Re-ve-xe+De),oe[1]=Se(pe(2*(he*ue-de*ie),-1,1)),oe[2]=ye(2*(de*he+ie*ue),Re+ve-xe-De);break;case"YZX":oe[0]=ye(2*(de*ue-ie*he),Re-ve+xe-De),oe[1]=ye(2*(he*ue-de*ie),Re+ve-xe-De),oe[2]=Se(pe(2*(de*he+ie*ue),-1,1));break;case"XZY":oe[0]=ye(2*(de*ue+he*ie),Re-ve+xe-De),oe[1]=ye(2*(de*ie+he*ue),Re+ve-xe-De),oe[2]=Se(pe(2*(ie*ue-de*he),-1,1));break;default:console.warn("Unkown order: "+Ne)}return te},Ee.eulerFromMat3=function(te,ne,Ge){var oe=ne.array,de=oe[0],he=oe[3],ie=oe[6],ue=oe[1],ve=oe[4],xe=oe[7],De=oe[2],Re=oe[5],Ne=oe[8],Ue=te.array,Ge=(Ge||"XYZ").toUpperCase();switch(Ge){case"XYZ":Ue[1]=Se(pe(ie,-1,1)),ce(ie)<.99999?(Ue[0]=ye(-xe,Ne),Ue[2]=ye(-he,de)):(Ue[0]=ye(Re,ve),Ue[2]=0);break;case"YXZ":Ue[0]=Se(-pe(xe,-1,1)),ce(xe)<.99999?(Ue[1]=ye(ie,Ne),Ue[2]=ye(ue,ve)):(Ue[1]=ye(-De,de),Ue[2]=0);break;case"ZXY":Ue[0]=Se(pe(Re,-1,1)),ce(Re)<.99999?(Ue[1]=ye(-De,Ne),Ue[2]=ye(-he,ve)):(Ue[1]=0,Ue[2]=ye(ue,de));break;case"ZYX":Ue[1]=Se(-pe(De,-1,1)),ce(De)<.99999?(Ue[0]=ye(Re,Ne),Ue[2]=ye(ue,de)):(Ue[0]=0,Ue[2]=ye(-he,ve));break;case"YZX":Ue[2]=Se(pe(ue,-1,1)),ce(ue)<.99999?(Ue[0]=ye(-xe,ve),Ue[1]=ye(-De,de)):(Ue[0]=0,Ue[1]=ye(ie,Ne));break;case"XZY":Ue[2]=Se(-pe(he,-1,1)),ce(he)<.99999?(Ue[0]=ye(Re,ve),Ue[1]=ye(ie,de)):(Ue[0]=ye(-xe,Ne),Ue[1]=0);break;default:console.warn("Unkown order: "+Ge)}return te._dirty=!0,te},Ee.POSITIVE_X=new Ee(1,0,0),Ee.NEGATIVE_X=new Ee(-1,0,0),Ee.POSITIVE_Y=new Ee(0,1,0),Ee.NEGATIVE_Y=new Ee(0,-1,0),Ee.POSITIVE_Z=new Ee(0,0,1),Ee.NEGATIVE_Z=new Ee(0,0,-1),Ee.UP=new Ee(0,1,0),Ee.ZERO=new Ee(0,0,0),Fe.a=Ee},function(He,Fe,Ce){"use strict";var _e=Ce(6),Pe=Ce(11),ge=Ce(66),Ee=ge.a.isPowerOfTwo,be=_e.a.extend(function(){return{image:null,pixels:null,mipmaps:[]}},{update:function(we){var pe=we.gl;pe.bindTexture(pe.TEXTURE_2D,this._cache.get("webgl_texture")),this.updateCommon(we);var ye=this.format,Se=this.type;pe.texParameteri(pe.TEXTURE_2D,pe.TEXTURE_WRAP_S,this.getAvailableWrapS()),pe.texParameteri(pe.TEXTURE_2D,pe.TEXTURE_WRAP_T,this.getAvailableWrapT()),pe.texParameteri(pe.TEXTURE_2D,pe.TEXTURE_MAG_FILTER,this.getAvailableMagFilter()),pe.texParameteri(pe.TEXTURE_2D,pe.TEXTURE_MIN_FILTER,this.getAvailableMinFilter());var ce=we.getGLExtension("EXT_texture_filter_anisotropic");if(ce&&this.anisotropic>1&&pe.texParameterf(pe.TEXTURE_2D,ce.TEXTURE_MAX_ANISOTROPY_EXT,this.anisotropic),Se===36193){var te=we.getGLExtension("OES_texture_half_float");te||(Se=Pe.a.FLOAT)}if(this.mipmaps.length)for(var ne=this.width,le=this.height,oe=0;oe=_e.a.COMPRESSED_RGB_S3TC_DXT1_EXT?we.compressedTexImage2D(we.TEXTURE_2D,ye,te,Se,ce,0,pe.pixels):we.texImage2D(we.TEXTURE_2D,ye,te,Se,ce,0,te,ne,pe.pixels)},generateMipmap:function(we){var pe=we.gl;this.useMipmap&&!this.NPOT&&(pe.bindTexture(pe.TEXTURE_2D,this._cache.get("webgl_texture")),pe.generateMipmap(pe.TEXTURE_2D))},isPowerOfTwo:function(){var we,pe;return this.image?(we=this.image.width,pe=this.image.height):(we=this.width,pe=this.height),Ee(we)&&Ee(pe)},isRenderable:function(){return this.image?this.image.nodeName==="CANVAS"||this.image.nodeName==="VIDEO"||this.image.complete:!!(this.width&&this.height)},bind:function(we){we.gl.bindTexture(we.gl.TEXTURE_2D,this.getWebGLTexture(we))},unbind:function(we){we.gl.bindTexture(we.gl.TEXTURE_2D,null)},load:function(we,pe){var ye=new Image;pe&&(ye.crossOrigin=pe);var Se=this;return ye.onload=function(){Se.dirty(),Se.trigger("success",Se),ye.onload=null},ye.onerror=function(){Se.trigger("error",Se),ye.onerror=null},ye.src=we,this.image=ye,this}});Object.defineProperty(be.prototype,"width",{get:function(){return this.image?this.image.width:this._width},set:function(we){this.image?console.warn("Texture from image can't set width"):(this._width!==we&&this.dirty(),this._width=we)}}),Object.defineProperty(be.prototype,"height",{get:function(){return this.image?this.image.height:this._height},set:function(we){this.image?console.warn("Texture from image can't set height"):(this._height!==we&&this.dirty(),this._height=we)}}),Fe.a=be},function(He,Fe,Ce){"use strict";var _e=Ce(8),Pe=Ce(11),ge=Ce(48),Ee=_e.a.extend({width:512,height:512,type:Pe.a.UNSIGNED_BYTE,format:Pe.a.RGBA,wrapS:Pe.a.REPEAT,wrapT:Pe.a.REPEAT,minFilter:Pe.a.LINEAR_MIPMAP_LINEAR,magFilter:Pe.a.LINEAR,useMipmap:!0,anisotropic:1,flipY:!0,sRGB:!0,unpackAlignment:4,premultiplyAlpha:!1,dynamic:!1,NPOT:!1},function(){this._cache=new ge.a},{getWebGLTexture:function(be){var we=be.gl,pe=this._cache;return pe.use(be.__uid__),pe.miss("webgl_texture")&&pe.put("webgl_texture",we.createTexture()),this.dynamic?this.update(be):pe.isDirty()&&(this.update(be),pe.fresh()),pe.get("webgl_texture")},bind:function(){},unbind:function(){},dirty:function(){this._cache&&this._cache.dirtyAll()},update:function(be){},updateCommon:function(be){var we=be.gl;we.pixelStorei(we.UNPACK_FLIP_Y_WEBGL,this.flipY),we.pixelStorei(we.UNPACK_PREMULTIPLY_ALPHA_WEBGL,this.premultiplyAlpha),we.pixelStorei(we.UNPACK_ALIGNMENT,this.unpackAlignment),this.format===Pe.a.DEPTH_COMPONENT&&(this.useMipmap=!1);var pe=be.getGLExtension("EXT_sRGB");this.format===Ee.SRGB&&!pe&&(this.format=Ee.RGB),this.format===Ee.SRGB_ALPHA&&!pe&&(this.format=Ee.RGBA),this.NPOT=!this.isPowerOfTwo()},getAvailableWrapS:function(){return this.NPOT?Pe.a.CLAMP_TO_EDGE:this.wrapS},getAvailableWrapT:function(){return this.NPOT?Pe.a.CLAMP_TO_EDGE:this.wrapT},getAvailableMinFilter:function(){var be=this.minFilter;return this.NPOT||!this.useMipmap?be==Pe.a.NEAREST_MIPMAP_NEAREST||be==Pe.a.NEAREST_MIPMAP_LINEAR?Pe.a.NEAREST:be==Pe.a.LINEAR_MIPMAP_LINEAR||be==Pe.a.LINEAR_MIPMAP_NEAREST?Pe.a.LINEAR:be:be},getAvailableMagFilter:function(){return this.magFilter},nextHighestPowerOfTwo:function(be){--be;for(var we=1;we<32;we<<=1)be=be|be>>we;return be+1},dispose:function(be){var we=this._cache;we.use(be.__uid__);var pe=we.get("webgl_texture");pe&&be.gl.deleteTexture(pe),we.deleteContext(be.__uid__)},isRenderable:function(){},isPowerOfTwo:function(){}});Object.defineProperty(Ee.prototype,"width",{get:function(){return this._width},set:function(be){this._width=be}}),Object.defineProperty(Ee.prototype,"height",{get:function(){return this._height},set:function(be){this._height=be}}),Ee.BYTE=Pe.a.BYTE,Ee.UNSIGNED_BYTE=Pe.a.UNSIGNED_BYTE,Ee.SHORT=Pe.a.SHORT,Ee.UNSIGNED_SHORT=Pe.a.UNSIGNED_SHORT,Ee.INT=Pe.a.INT,Ee.UNSIGNED_INT=Pe.a.UNSIGNED_INT,Ee.FLOAT=Pe.a.FLOAT,Ee.HALF_FLOAT=36193,Ee.UNSIGNED_INT_24_8_WEBGL=34042,Ee.DEPTH_COMPONENT=Pe.a.DEPTH_COMPONENT,Ee.DEPTH_STENCIL=Pe.a.DEPTH_STENCIL,Ee.ALPHA=Pe.a.ALPHA,Ee.RGB=Pe.a.RGB,Ee.RGBA=Pe.a.RGBA,Ee.LUMINANCE=Pe.a.LUMINANCE,Ee.LUMINANCE_ALPHA=Pe.a.LUMINANCE_ALPHA,Ee.SRGB=35904,Ee.SRGB_ALPHA=35906,Ee.COMPRESSED_RGB_S3TC_DXT1_EXT=33776,Ee.COMPRESSED_RGBA_S3TC_DXT1_EXT=33777,Ee.COMPRESSED_RGBA_S3TC_DXT3_EXT=33778,Ee.COMPRESSED_RGBA_S3TC_DXT5_EXT=33779,Ee.NEAREST=Pe.a.NEAREST,Ee.LINEAR=Pe.a.LINEAR,Ee.NEAREST_MIPMAP_NEAREST=Pe.a.NEAREST_MIPMAP_NEAREST,Ee.LINEAR_MIPMAP_NEAREST=Pe.a.LINEAR_MIPMAP_NEAREST,Ee.NEAREST_MIPMAP_LINEAR=Pe.a.NEAREST_MIPMAP_LINEAR,Ee.LINEAR_MIPMAP_LINEAR=Pe.a.LINEAR_MIPMAP_LINEAR,Ee.REPEAT=Pe.a.REPEAT,Ee.CLAMP_TO_EDGE=Pe.a.CLAMP_TO_EDGE,Ee.MIRRORED_REPEAT=Pe.a.MIRRORED_REPEAT,Fe.a=Ee},function(He,Fe,Ce){"use strict";var _e=Ce(21),Pe=Ce(18),ge=Ce(1),Ee=Ce.n(ge),be=Ee.a.mat2,we=Ee.a.mat3,pe=Ee.a.mat4,ye=/uniform\s+(bool|float|int|vec2|vec3|vec4|ivec2|ivec3|ivec4|mat2|mat3|mat4|sampler2D|samplerCube)\s+([\w\,]+)?(\[.*?\])?\s*(:\s*([\S\s]+?))?;/g,Se=/attribute\s+(float|int|vec2|vec3|vec4)\s+(\w*)\s*(:\s*(\w+))?;/g,ce=/#define\s+(\w+)?(\s+[\w-.]+)?\s*;?\s*\n/g,te={bool:"1i",int:"1i",sampler2D:"t",samplerCube:"t",float:"1f",vec2:"2f",vec3:"3f",vec4:"4f",ivec2:"2i",ivec3:"3i",ivec4:"4i",mat2:"m2",mat3:"m3",mat4:"m4"},ne={bool:function(){return!0},int:function(){return 0},float:function(){return 0},sampler2D:function(){return null},samplerCube:function(){return null},vec2:function(){return[0,0]},vec3:function(){return[0,0,0]},vec4:function(){return[0,0,0,0]},ivec2:function(){return[0,0]},ivec3:function(){return[0,0,0]},ivec4:function(){return[0,0,0,0]},mat2:function(){return be.create()},mat3:function(){return we.create()},mat4:function(){return pe.create()},array:function(){return[]}},le=["POSITION","NORMAL","BINORMAL","TANGENT","TEXCOORD","TEXCOORD_0","TEXCOORD_1","COLOR","JOINT","WEIGHT"],oe=["SKIN_MATRIX","VIEWPORT_SIZE","VIEWPORT","DEVICEPIXELRATIO","WINDOW_SIZE","NEAR","FAR","TIME"],de=["WORLD","VIEW","PROJECTION","WORLDVIEW","VIEWPROJECTION","WORLDVIEWPROJECTION","WORLDINVERSE","VIEWINVERSE","PROJECTIONINVERSE","WORLDVIEWINVERSE","VIEWPROJECTIONINVERSE","WORLDVIEWPROJECTIONINVERSE","WORLDTRANSPOSE","VIEWTRANSPOSE","PROJECTIONTRANSPOSE","WORLDVIEWTRANSPOSE","VIEWPROJECTIONTRANSPOSE","WORLDVIEWPROJECTIONTRANSPOSE","WORLDINVERSETRANSPOSE","VIEWINVERSETRANSPOSE","PROJECTIONINVERSETRANSPOSE","WORLDVIEWINVERSETRANSPOSE","VIEWPROJECTIONINVERSETRANSPOSE","WORLDVIEWPROJECTIONINVERSETRANSPOSE"],he={},ie={};function ue(Re,Ne){var Ue="vertex:"+Re+"fragment:"+Ne;if(he[Ue])return he[Ue];var Ge=_e.a.genGUID();return he[Ue]=Ge,ie[Ge]={vertex:Re,fragment:Ne},Ge}function ve(Re,Ne){typeof Re=="object"&&(Ne=Re.fragment,Re=Re.vertex),this._shaderID=ue(Re,Ne),this._vertexCode=ve.parseImport(Re),this._fragmentCode=ve.parseImport(Ne),this.attributeSemantics={},this.matrixSemantics={},this.uniformSemantics={},this.matrixSemanticKeys=[],this.uniformTemplates={},this.attributes={},this.textures={},this.vertexDefines={},this.fragmentDefines={},this._parseAttributes(),this._parseUniforms(),this._parseDefines()}ve.prototype={constructor:ve,createUniforms:function(){var Re={};for(var Ne in this.uniformTemplates){var Ue=this.uniformTemplates[Ne];Re[Ne]={type:Ue.type,value:Ue.value()}}return Re},_parseImport:function(){this._vertexCode=ve.parseImport(this.vertex),this._fragmentCode=ve.parseImport(this.fragment)},_parseUniforms:function(){var Re={},Ne=this,Ue="vertex";this._uniformList=[],this._vertexCode=this._vertexCode.replace(ye,Ge),Ue="fragment",this._fragmentCode=this._fragmentCode.replace(ye,Ge),Ne.matrixSemanticKeys=Object.keys(this.matrixSemantics);function 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Be=Ie(45411),He=Ie(75029),Fe=Object.hasOwnProperty,Ce=Object.create(null);for(var _e in Be)Fe.call(Be,_e)&&(Ce[Be[_e]]=_e);var Pe=xt.exports={to:{},get:{}};Pe.get=function(be){var we=be.substring(0,3).toLowerCase(),pe,ye;switch(we){case"hsl":pe=Pe.get.hsl(be),ye="hsl";break;case"hwb":pe=Pe.get.hwb(be),ye="hwb";break;default:pe=Pe.get.rgb(be),ye="rgb";break}return pe?{model:ye,value:pe}:null},Pe.get.rgb=function(be){if(!be)return null;var we=/^#([a-f0-9]{3,4})$/i,pe=/^#([a-f0-9]{6})([a-f0-9]{2})?$/i,ye=/^rgba?\(\s*([+-]?\d+)(?=[\s,])\s*(?:,\s*)?([+-]?\d+)(?=[\s,])\s*(?:,\s*)?([+-]?\d+)\s*(?:[,|\/]\s*([+-]?[\d\.]+)(%?)\s*)?\)$/,Se=/^rgba?\(\s*([+-]?[\d\.]+)\%\s*,?\s*([+-]?[\d\.]+)\%\s*,?\s*([+-]?[\d\.]+)\%\s*(?:[,|\/]\s*([+-]?[\d\.]+)(%?)\s*)?\)$/,ce=/^(\w+)$/,te=[0,0,0,1],ne,le,oe;if(ne=be.match(pe)){for(oe=ne[2],ne=ne[1],le=0;le<3;le++){var de=le*2;te[le]=parseInt(ne.slice(de,de+2),16)}oe&&(te[3]=parseInt(oe,16)/255)}else 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ue=ue||1,ie[0]=we(),ie[1]=we(),ie[2]=we(),ie[3]=we(),te.normalize(ie,ie),te.scale(ie,ie,ue),ie},te.transformMat4=function(ie,ue,ve){var xe=ue[0],De=ue[1],Re=ue[2],Ne=ue[3];return ie[0]=ve[0]*xe+ve[4]*De+ve[8]*Re+ve[12]*Ne,ie[1]=ve[1]*xe+ve[5]*De+ve[9]*Re+ve[13]*Ne,ie[2]=ve[2]*xe+ve[6]*De+ve[10]*Re+ve[14]*Ne,ie[3]=ve[3]*xe+ve[7]*De+ve[11]*Re+ve[15]*Ne,ie},te.transformQuat=function(ie,ue,ve){var xe=ue[0],De=ue[1],Re=ue[2],Ne=ve[0],ze=ve[1],Ge=ve[2],Xe=ve[3],Qe=Xe*xe+ze*Re-Ge*De,nt=Xe*De+Ge*xe-Ne*Re,$e=Xe*Re+Ne*De-ze*xe,qe=-Ne*xe-ze*De-Ge*Re;return ie[0]=Qe*Xe+qe*-Ne+nt*-Ge-$e*-ze,ie[1]=nt*Xe+qe*-ze+$e*-Ne-Qe*-Ge,ie[2]=$e*Xe+qe*-Ge+Qe*-ze-nt*-Ne,ie},te.forEach=function(){var ie=te.create();return function(ue,ve,xe,De,Re,Ne){var ze,Ge;for(ve||(ve=4),xe||(xe=0),De?Ge=Math.min(De*ve+xe,ue.length):Ge=ue.length,ze=xe;ze.999999?(xe[0]=0,xe[1]=0,xe[2]=0,xe[3]=1,xe):(ce.cross(ie,De,Re),xe[0]=ie[0],xe[1]=ie[1],xe[2]=ie[2],xe[3]=1+Ne,he.normalize(xe,xe))}}(),he.setAxes=function(){var ie=oe.create();return function(ue,ve,xe,De){return ie[0]=xe[0],ie[3]=xe[1],ie[6]=xe[2],ie[1]=De[0],ie[4]=De[1],ie[7]=De[2],ie[2]=-ve[0],ie[5]=-ve[1],ie[8]=-ve[2],he.normalize(ue,he.fromMat3(ue,ie))}}(),he.clone=te.clone,he.fromValues=te.fromValues,he.copy=te.copy,he.set=te.set,he.identity=function(ie){return ie[0]=0,ie[1]=0,ie[2]=0,ie[3]=1,ie},he.setAxisAngle=function(ie,ue,ve){ve=ve*.5;var xe=Math.sin(ve);return ie[0]=xe*ue[0],ie[1]=xe*ue[1],ie[2]=xe*ue[2],ie[3]=Math.cos(ve),ie},he.add=te.add,he.multiply=function(ie,ue,ve){var xe=ue[0],De=ue[1],Re=ue[2],Ne=ue[3],ze=ve[0],Ge=ve[1],Xe=ve[2],Qe=ve[3];return ie[0]=xe*Qe+Ne*ze+De*Xe-Re*Ge,ie[1]=De*Qe+Ne*Ge+Re*ze-xe*Xe,ie[2]=Re*Qe+Ne*Xe+xe*Ge-De*ze,ie[3]=Ne*Qe-xe*ze-De*Ge-Re*Xe,ie},he.mul=he.multiply,he.scale=te.scale,he.rotateX=function(ie,ue,ve){ve*=.5;var xe=ue[0],De=ue[1],Re=ue[2],Ne=ue[3],ze=Math.sin(ve),Ge=Math.cos(ve);return ie[0]=xe*Ge+Ne*ze,ie[1]=De*Ge+Re*ze,ie[2]=Re*Ge-De*ze,ie[3]=Ne*Ge-xe*ze,ie},he.rotateY=function(ie,ue,ve){ve*=.5;var xe=ue[0],De=ue[1],Re=ue[2],Ne=ue[3],ze=Math.sin(ve),Ge=Math.cos(ve);return ie[0]=xe*Ge-Re*ze,ie[1]=De*Ge+Ne*ze,ie[2]=Re*Ge+xe*ze,ie[3]=Ne*Ge-De*ze,ie},he.rotateZ=function(ie,ue,ve){ve*=.5;var xe=ue[0],De=ue[1],Re=ue[2],Ne=ue[3],ze=Math.sin(ve),Ge=Math.cos(ve);return ie[0]=xe*Ge+De*ze,ie[1]=De*Ge-xe*ze,ie[2]=Re*Ge+Ne*ze,ie[3]=Ne*Ge-Re*ze,ie},he.calculateW=function(ie,ue){var ve=ue[0],xe=ue[1],De=ue[2];return ie[0]=ve,ie[1]=xe,ie[2]=De,ie[3]=Math.sqrt(Math.abs(1-ve*ve-xe*xe-De*De)),ie},he.dot=te.dot,he.lerp=te.lerp,he.slerp=function(ie,ue,ve,xe){var De=ue[0],Re=ue[1],Ne=ue[2],ze=ue[3],Ge=ve[0],Xe=ve[1],Qe=ve[2],nt=ve[3],$e,qe,lt,it,ft;return qe=De*Ge+Re*Xe+Ne*Qe+ze*nt,qe<0&&(qe=-qe,Ge=-Ge,Xe=-Xe,Qe=-Qe,nt=-nt),1-qe>1e-6?($e=Math.acos(qe),lt=Math.sin($e),it=Math.sin((1-xe)*$e)/lt,ft=Math.sin(xe*$e)/lt):(it=1-xe,ft=xe),ie[0]=it*De+ft*Ge,ie[1]=it*Re+ft*Xe,ie[2]=it*Ne+ft*Qe,ie[3]=it*ze+ft*nt,ie},he.invert=function(ie,ue){var ve=ue[0],xe=ue[1],De=ue[2],Re=ue[3],Ne=ve*ve+xe*xe+De*De+Re*Re,ze=Ne?1/Ne:0;return ie[0]=-ve*ze,ie[1]=-xe*ze,ie[2]=-De*ze,ie[3]=Re*ze,ie},he.conjugate=function(ie,ue){return ie[0]=-ue[0],ie[1]=-ue[1],ie[2]=-ue[2],ie[3]=ue[3],ie},he.length=te.length,he.len=he.length,he.squaredLength=te.squaredLength,he.sqrLen=he.squaredLength,he.normalize=te.normalize,he.fromMat3=function(ie,ue){var ve=ue[0]+ue[4]+ue[8],xe;if(ve>0)xe=Math.sqrt(ve+1),ie[3]=.5*xe,xe=.5/xe,ie[0]=(ue[5]-ue[7])*xe,ie[1]=(ue[6]-ue[2])*xe,ie[2]=(ue[1]-ue[3])*xe;else{var De=0;ue[4]>ue[0]&&(De=1),ue[8]>ue[De*3+De]&&(De=2);var Re=(De+1)%3,Ne=(De+2)%3;xe=Math.sqrt(ue[De*3+De]-ue[Re*3+Re]-ue[Ne*3+Ne]+1),ie[De]=.5*xe,xe=.5/xe,ie[3]=(ue[Re*3+Ne]-ue[Ne*3+Re])*xe,ie[Re]=(ue[Re*3+De]+ue[De*3+Re])*xe,ie[Ne]=(ue[Ne*3+De]+ue[De*3+Ne])*xe}return ie},he.str=function(ie){return"quat("+ie[0]+", "+ie[1]+", "+ie[2]+", "+ie[3]+")"},typeof ge!="undefined"&&(ge.quat=he)}(Pe.exports)})(this)},function(He,Fe,Ce){"use strict";var _e=Ce(24),Pe=Ce(46),ge=Ce(5),Ee=Ce(6),be=Ce(7),we=Ce(17),pe=Ce(28),ye=Ce(13),Se=Ce(0),ce=Ce.n(Se),te=Ce(29),ne=Ce(53),le=Ce.n(ne),oe=Ce(54),de=Ce(106),he=Ce(107),ie=Ce(113),ue=Ce(114),ve=Ce(3),xe=Ce(68),De=Ce(37),Re=Ce(69),Ne=Ce(116),ze=Ce(70),Ge=Ce(71),Xe=Ce(72),Qe=Ce(36),nt=Ce(30),$e=Ce(23),qe=Ce(4),lt=Ce(117),it=Ce(50),ft=Ce(118),rt=Ce(119),ct=Ce(120),yt=Ce(9),mt=Ce(67),ht=Ce(49),gt=Ce(15),Wt=Ce(52),Zt=Ce(121),en=Ce(126),dn=Ce(63),Lt=Ce(127),an=Ce(128),rn=Ce(129),Mn=Ce(130),Bn=Ce(131),sn=Ce(132);ce.a.util.extend(pe.a.prototype,Zt.a),be.a.import(en.a),be.a.import(dn.a),be.a.import(Lt.a),be.a.import(an.a),be.a.import(rn.a),be.a.import(Mn.a),be.a.import(Bn.a),be.a.import(sn.a);function tn(Mt){return!Mt||Mt==="none"}function Gt(Mt){return Mt instanceof HTMLCanvasElement||Mt instanceof HTMLImageElement||Mt instanceof Image}function It(Mt){return Mt.getZr&&Mt.setOption}var St=te.a.prototype.addToScene,Yt=te.a.prototype.removeFromScene;te.a.prototype.addToScene=function(Mt){if(St.call(this,Mt),this.__zr){var ln=this.__zr;Mt.traverse(function(Dn){Dn.__zr=ln,Dn.addAnimatorsToZr&&Dn.addAnimatorsToZr(ln)})}},te.a.prototype.removeFromScene=function(Mt){Yt.call(this,Mt),Mt.traverse(function(ln){var Dn=ln.__zr;ln.__zr=null,Dn&&ln.removeAnimatorsFromZr&&ln.removeAnimatorsFromZr(Dn)})},we.a.prototype.setTextureImage=function(Mt,ln,Dn,Hn){if(this.shader){var Vn=Dn.getZr(),Kn=this,er;return Kn.autoUpdateTextureStatus=!1,Kn.disableTexture(Mt),tn(ln)||(er=vt.loadTexture(ln,Dn,Hn,function($t){Kn.enableTexture(Mt),Vn&&Vn.refresh()}),Kn.set(Mt,er)),er}};var vt={};vt.Renderer=Pe.a,vt.Node=pe.a,vt.Mesh=_e.a,vt.Shader=be.a,vt.Material=we.a,vt.Texture=Ee.a,vt.Texture2D=ge.a,vt.Geometry=ye.a,vt.SphereGeometry=xe.a,vt.PlaneGeometry=De.a,vt.CubeGeometry=Re.a,vt.AmbientLight=Ne.a,vt.DirectionalLight=ze.a,vt.PointLight=Ge.a,vt.SpotLight=Xe.a,vt.PerspectiveCamera=Qe.a,vt.OrthographicCamera=nt.a,vt.Vector2=$e.a,vt.Vector3=qe.a,vt.Vector4=lt.a,vt.Quaternion=it.a,vt.Matrix2=ft.a,vt.Matrix2d=rt.a,vt.Matrix3=ct.a,vt.Matrix4=yt.a,vt.Plane=mt.a,vt.Ray=ht.a,vt.BoundingBox=gt.a,vt.Frustum=Wt.a;var At=oe.a.createBlank("rgba(255,255,255,0)").image;function Xt(Mt){return Math.pow(2,Math.round(Math.log(Mt)/Math.LN2))}function Ft(Mt){if((Mt.wrapS===Ee.a.REPEAT||Mt.wrapT===Ee.a.REPEAT)&&Mt.image){var ln=Xt(Mt.width),Dn=Xt(Mt.height);if(ln!==Mt.width||Dn!==Mt.height){var Hn=document.createElement("canvas");Hn.width=ln,Hn.height=Dn;var Vn=Hn.getContext("2d");Vn.drawImage(Mt.image,0,0,ln,Dn),Mt.image=Hn}}}vt.loadTexture=function(Mt,ln,Dn,Hn){typeof Dn=="function"&&(Hn=Dn,Dn={}),Dn=Dn||{};for(var Vn=Object.keys(Dn).sort(),Kn="",er=0;er3?ln[3]=Mt[3]:ln[3]=1,ln):(ln=ce.a.color.parse(Mt||"#000",ln)||[0,0,0,0],ln[0]/=255,ln[1]/=255,ln[2]/=255,ln)},vt.directionFromAlphaBeta=function(Mt,ln){var Dn=Mt/180*Math.PI+Math.PI/2,Hn=-ln/180*Math.PI+Math.PI/2,Vn=[],Kn=Math.sin(Dn);return Vn[0]=Kn*Math.cos(Hn),Vn[1]=-Math.cos(Dn),Vn[2]=Kn*Math.sin(Hn),Vn},vt.getShadowResolution=function(Mt){var ln=1024;switch(Mt){case"low":ln=512;break;case"medium":break;case"high":ln=2048;break;case"ultra":ln=4096;break}return ln},vt.COMMON_SHADERS=["lambert","color","realistic","hatching"],vt.createShader=function(Mt){var ln=be.a.source(Mt+".vertex"),Dn=be.a.source(Mt+".fragment");ln||console.error("Vertex shader of '%s' not exits",Mt),Dn||console.error("Fragment shader of '%s' not exits",Mt);var Hn=new be.a(ln,Dn);return Hn.name=Mt,Hn},vt.createMaterial=function(Mt,ln){ln instanceof Array||(ln=[ln]);var Dn=vt.createShader(Mt),Hn=new we.a({shader:Dn});return ln.forEach(function(Vn){typeof Vn=="string"&&Hn.define(Vn)}),Hn},vt.setMaterialFromModel=function(Mt,ln,Dn,Hn){ln.autoUpdateTextureStatus=!1;var Vn=Dn.getModel(Mt+"Material"),Kn=Vn.get("detailTexture"),er=ve.a.firstNotNull(Vn.get("textureTiling"),1),$t=ve.a.firstNotNull(Vn.get("textureOffset"),0);typeof er=="number"&&(er=[er,er]),typeof $t=="number"&&($t=[$t,$t]);var vn=er[0]>1||er[1]>1?vt.Texture.REPEAT:vt.Texture.CLAMP_TO_EDGE,jn={anisotropic:8,wrapS:vn,wrapT:vn};if(Mt==="realistic"){var On=Vn.get("roughness"),xr=Vn.get("metalness");xr!=null?isNaN(xr)&&(ln.setTextureImage("metalnessMap",xr,Hn,jn),xr=ve.a.firstNotNull(Vn.get("metalnessAdjust"),.5)):xr=0,On!=null?isNaN(On)&&(ln.setTextureImage("roughnessMap",On,Hn,jn),On=ve.a.firstNotNull(Vn.get("roughnessAdjust"),.5)):On=.5;var Gr=Vn.get("normalTexture");ln.setTextureImage("detailMap",Kn,Hn,jn),ln.setTextureImage("normalMap",Gr,Hn,jn),ln.set({roughness:On,metalness:xr,detailUvRepeat:er,detailUvOffset:$t})}else 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oe=ne.array,de=oe[0],he=oe[3],ie=oe[6],ue=oe[1],ve=oe[4],xe=oe[7],De=oe[2],Re=oe[5],Ne=oe[8],ze=te.array,Ge=(Ge||"XYZ").toUpperCase();switch(Ge){case"XYZ":ze[1]=Se(pe(ie,-1,1)),ce(ie)<.99999?(ze[0]=ye(-xe,Ne),ze[2]=ye(-he,de)):(ze[0]=ye(Re,ve),ze[2]=0);break;case"YXZ":ze[0]=Se(-pe(xe,-1,1)),ce(xe)<.99999?(ze[1]=ye(ie,Ne),ze[2]=ye(ue,ve)):(ze[1]=ye(-De,de),ze[2]=0);break;case"ZXY":ze[0]=Se(pe(Re,-1,1)),ce(Re)<.99999?(ze[1]=ye(-De,Ne),ze[2]=ye(-he,ve)):(ze[1]=0,ze[2]=ye(ue,de));break;case"ZYX":ze[1]=Se(-pe(De,-1,1)),ce(De)<.99999?(ze[0]=ye(Re,Ne),ze[2]=ye(ue,de)):(ze[0]=0,ze[2]=ye(-he,ve));break;case"YZX":ze[2]=Se(pe(ue,-1,1)),ce(ue)<.99999?(ze[0]=ye(-xe,ve),ze[1]=ye(-De,de)):(ze[0]=0,ze[1]=ye(ie,Ne));break;case"XZY":ze[2]=Se(-pe(he,-1,1)),ce(he)<.99999?(ze[0]=ye(Re,ve),ze[1]=ye(ie,de)):(ze[0]=ye(-xe,Ne),ze[1]=0);break;default:console.warn("Unkown order: "+Ge)}return te._dirty=!0,te},Ee.POSITIVE_X=new Ee(1,0,0),Ee.NEGATIVE_X=new Ee(-1,0,0),Ee.POSITIVE_Y=new Ee(0,1,0),Ee.NEGATIVE_Y=new Ee(0,-1,0),Ee.POSITIVE_Z=new Ee(0,0,1),Ee.NEGATIVE_Z=new Ee(0,0,-1),Ee.UP=new Ee(0,1,0),Ee.ZERO=new Ee(0,0,0),Fe.a=Ee},function(He,Fe,Ce){"use strict";var _e=Ce(6),Pe=Ce(11),ge=Ce(66),Ee=ge.a.isPowerOfTwo,be=_e.a.extend(function(){return{image:null,pixels:null,mipmaps:[]}},{update:function(we){var pe=we.gl;pe.bindTexture(pe.TEXTURE_2D,this._cache.get("webgl_texture")),this.updateCommon(we);var ye=this.format,Se=this.type;pe.texParameteri(pe.TEXTURE_2D,pe.TEXTURE_WRAP_S,this.getAvailableWrapS()),pe.texParameteri(pe.TEXTURE_2D,pe.TEXTURE_WRAP_T,this.getAvailableWrapT()),pe.texParameteri(pe.TEXTURE_2D,pe.TEXTURE_MAG_FILTER,this.getAvailableMagFilter()),pe.texParameteri(pe.TEXTURE_2D,pe.TEXTURE_MIN_FILTER,this.getAvailableMinFilter());var ce=we.getGLExtension("EXT_texture_filter_anisotropic");if(ce&&this.anisotropic>1&&pe.texParameterf(pe.TEXTURE_2D,ce.TEXTURE_MAX_ANISOTROPY_EXT,this.anisotropic),Se===36193){var te=we.getGLExtension("OES_texture_half_float");te||(Se=Pe.a.FLOAT)}if(this.mipmaps.length)for(var ne=this.width,le=this.height,oe=0;oe=_e.a.COMPRESSED_RGB_S3TC_DXT1_EXT?we.compressedTexImage2D(we.TEXTURE_2D,ye,te,Se,ce,0,pe.pixels):we.texImage2D(we.TEXTURE_2D,ye,te,Se,ce,0,te,ne,pe.pixels)},generateMipmap:function(we){var pe=we.gl;this.useMipmap&&!this.NPOT&&(pe.bindTexture(pe.TEXTURE_2D,this._cache.get("webgl_texture")),pe.generateMipmap(pe.TEXTURE_2D))},isPowerOfTwo:function(){var we,pe;return this.image?(we=this.image.width,pe=this.image.height):(we=this.width,pe=this.height),Ee(we)&&Ee(pe)},isRenderable:function(){return this.image?this.image.nodeName==="CANVAS"||this.image.nodeName==="VIDEO"||this.image.complete:!!(this.width&&this.height)},bind:function(we){we.gl.bindTexture(we.gl.TEXTURE_2D,this.getWebGLTexture(we))},unbind:function(we){we.gl.bindTexture(we.gl.TEXTURE_2D,null)},load:function(we,pe){var ye=new Image;pe&&(ye.crossOrigin=pe);var Se=this;return 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_e=Ce(8),Pe=Ce(11),ge=Ce(48),Ee=_e.a.extend({width:512,height:512,type:Pe.a.UNSIGNED_BYTE,format:Pe.a.RGBA,wrapS:Pe.a.REPEAT,wrapT:Pe.a.REPEAT,minFilter:Pe.a.LINEAR_MIPMAP_LINEAR,magFilter:Pe.a.LINEAR,useMipmap:!0,anisotropic:1,flipY:!0,sRGB:!0,unpackAlignment:4,premultiplyAlpha:!1,dynamic:!1,NPOT:!1},function(){this._cache=new ge.a},{getWebGLTexture:function(be){var we=be.gl,pe=this._cache;return pe.use(be.__uid__),pe.miss("webgl_texture")&&pe.put("webgl_texture",we.createTexture()),this.dynamic?this.update(be):pe.isDirty()&&(this.update(be),pe.fresh()),pe.get("webgl_texture")},bind:function(){},unbind:function(){},dirty:function(){this._cache&&this._cache.dirtyAll()},update:function(be){},updateCommon:function(be){var we=be.gl;we.pixelStorei(we.UNPACK_FLIP_Y_WEBGL,this.flipY),we.pixelStorei(we.UNPACK_PREMULTIPLY_ALPHA_WEBGL,this.premultiplyAlpha),we.pixelStorei(we.UNPACK_ALIGNMENT,this.unpackAlignment),this.format===Pe.a.DEPTH_COMPONENT&&(this.useMipmap=!1);var pe=be.getGLExtension("EXT_sRGB");this.format===Ee.SRGB&&!pe&&(this.format=Ee.RGB),this.format===Ee.SRGB_ALPHA&&!pe&&(this.format=Ee.RGBA),this.NPOT=!this.isPowerOfTwo()},getAvailableWrapS:function(){return this.NPOT?Pe.a.CLAMP_TO_EDGE:this.wrapS},getAvailableWrapT:function(){return this.NPOT?Pe.a.CLAMP_TO_EDGE:this.wrapT},getAvailableMinFilter:function(){var be=this.minFilter;return this.NPOT||!this.useMipmap?be==Pe.a.NEAREST_MIPMAP_NEAREST||be==Pe.a.NEAREST_MIPMAP_LINEAR?Pe.a.NEAREST:be==Pe.a.LINEAR_MIPMAP_LINEAR||be==Pe.a.LINEAR_MIPMAP_NEAREST?Pe.a.LINEAR:be:be},getAvailableMagFilter:function(){return this.magFilter},nextHighestPowerOfTwo:function(be){--be;for(var we=1;we<32;we<<=1)be=be|be>>we;return be+1},dispose:function(be){var we=this._cache;we.use(be.__uid__);var pe=we.get("webgl_texture");pe&&be.gl.deleteTexture(pe),we.deleteContext(be.__uid__)},isRenderable:function(){},isPowerOfTwo:function(){}});Object.defineProperty(Ee.prototype,"width",{get:function(){return 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Re=="object"&&(Ne=Re.fragment,Re=Re.vertex),this._shaderID=ue(Re,Ne),this._vertexCode=ve.parseImport(Re),this._fragmentCode=ve.parseImport(Ne),this.attributeSemantics={},this.matrixSemantics={},this.uniformSemantics={},this.matrixSemanticKeys=[],this.uniformTemplates={},this.attributes={},this.textures={},this.vertexDefines={},this.fragmentDefines={},this._parseAttributes(),this._parseUniforms(),this._parseDefines()}ve.prototype={constructor:ve,createUniforms:function(){var Re={};for(var Ne in this.uniformTemplates){var ze=this.uniformTemplates[Ne];Re[Ne]={type:ze.type,value:ze.value()}}return Re},_parseImport:function(){this._vertexCode=ve.parseImport(this.vertex),this._fragmentCode=ve.parseImport(this.fragment)},_parseUniforms:function(){var Re={},Ne=this,ze="vertex";this._uniformList=[],this._vertexCode=this._vertexCode.replace(ye,Ge),ze="fragment",this._fragmentCode=this._fragmentCode.replace(ye,Ge),Ne.matrixSemanticKeys=Object.keys(this.matrixSemantics);function 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Qe=Qe.replace(/(^[\s\t\xa0\u3000]+)|([\u3000\xa0\s\t]+\x24)/g,"");if(Qe){for(var nt=Ge.split("."),$e=ve.codes,qe=0,lt;qeze[0]&&(ze[0]=Xe),Qe>ze[1]&&(ze[1]=Qe),nt>ze[2]&&(ze[2]=nt)}De._dirty=!0,Re._dirty=!0}},dirty:function(){for(var ve=this.getEnabledAttributes(),xe=0;xe=0){xe||(xe=ce());var De=this.indices;return xe[0]=De[ve*3],xe[1]=De[ve*3+1],xe[2]=De[ve*3+2],xe}},setTriangleIndices:function(ve,xe){var De=this.indices;De[ve*3]=xe[0],De[ve*3+1]=xe[1],De[ve*3+2]=xe[2]},isUseIndices:function(){return!!this.indices},initIndicesFromArray:function(ve){var xe,De=this.vertexCount>65535?Ee.a.Uint32Array:Ee.a.Uint16Array;if(ve[0]&&ve[0].length){var Re=0,Ne=3;xe=new De(ve.length*Ne);for(var ze=0;ze=0?(xe.splice(De,1),delete this.attributes[ve],!0):!1},getAttribute:function(ve){return this.attributes[ve]},getEnabledAttributes:function(){var ve=this._enabledAttributes,xe=this._attributeList;if(ve)return ve;for(var De=[],Re=this.vertexCount,Ne=0;Ne65535&&(this.indices=new Ee.a.Uint32Array(this.indices));for(var ve=this.attributes,xe=this.indices,De=this.getEnabledAttributes(),Re={},Ne=0;Ne=de.COLOR_ATTACHMENT0&&ue<=de.COLOR_ATTACHMENT0+8&&ie.push(ue);he.drawBuffersEXT(ie)}}this.trigger("beforerender",this,le);var ve=this.clearDepth?de.DEPTH_BUFFER_BIT:0;if(de.depthMask(!0),this.clearColor){ve=ve|de.COLOR_BUFFER_BIT,de.colorMask(!0,!0,!0,!0);var xe=this.clearColor;Array.isArray(xe)&&de.clearColor(xe[0],xe[1],xe[2],xe[3])}de.clear(ve),this.blendWithPrevious?(de.enable(de.BLEND),this.material.transparent=!0):(de.disable(de.BLEND),this.material.transparent=!1),this.renderQuad(le),this.trigger("afterrender",this,le),oe&&this.unbind(le,oe)},renderQuad:function(le){ce.material=this.material,le.renderPass([ce],te)},dispose:function(le){}});Fe.a=ne},function(He,Fe,Ce){"use strict";var _e=Ce(4),Pe=Ce(1),ge=Ce.n(Pe),Ee=ge.a.vec3,be=Ee.copy,we=Ee.set,pe=function(ye,Se){this.min=ye||new _e.a(1/0,1/0,1/0),this.max=Se||new _e.a(-1/0,-1/0,-1/0)};pe.prototype={constructor:pe,updateFromVertices:function(ye){if(ye.length>0){var Se=this.min,ce=this.max,te=Se.array,ne=ce.array;be(te,ye[0]),be(ne,ye[0]);for(var le=1;lene[0]&&(ne[0]=oe[0]),oe[1]>ne[1]&&(ne[1]=oe[1]),oe[2]>ne[2]&&(ne[2]=oe[2])}Se._dirty=!0,ce._dirty=!0}},union:function(ye){var Se=this.min,ce=this.max;return Ee.min(Se.array,Se.array,ye.min.array),Ee.max(ce.array,ce.array,ye.max.array),Se._dirty=!0,ce._dirty=!0,this},intersection:function(ye){var Se=this.min,ce=this.max;return Ee.max(Se.array,Se.array,ye.min.array),Ee.min(ce.array,ce.array,ye.max.array),Se._dirty=!0,ce._dirty=!0,this},intersectBoundingBox:function(ye){var Se=this.min.array,ce=this.max.array,te=ye.min.array,ne=ye.max.array;return!(Se[0]>ne[0]||Se[1]>ne[1]||Se[2]>ne[2]||ce[0]=ne[0]&&ce[1]>=ne[1]&&ce[2]>=ne[2]},containPoint:function(ye){var Se=this.min.array,ce=this.max.array,te=ye.array;return Se[0]<=te[0]&&Se[1]<=te[1]&&Se[2]<=te[2]&&ce[0]>=te[0]&&ce[1]>=te[1]&&ce[2]>=te[2]},isFinite:function(){var ye=this.min.array,Se=this.max.array;return isFinite(ye[0])&&isFinite(ye[1])&&isFinite(ye[2])&&isFinite(Se[0])&&isFinite(Se[1])&&isFinite(Se[2])},applyTransform:function(){var ye=Ee.create(),Se=Ee.create(),ce=Ee.create(),te=Ee.create(),ne=Ee.create(),le=Ee.create();return function(oe){var de=this.min.array,he=this.max.array,ie=oe.array;return ye[0]=ie[0]*de[0],ye[1]=ie[1]*de[0],ye[2]=ie[2]*de[0],Se[0]=ie[0]*he[0],Se[1]=ie[1]*he[0],Se[2]=ie[2]*he[0],ce[0]=ie[4]*de[1],ce[1]=ie[5]*de[1],ce[2]=ie[6]*de[1],te[0]=ie[4]*he[1],te[1]=ie[5]*he[1],te[2]=ie[6]*he[1],ne[0]=ie[8]*de[2],ne[1]=ie[9]*de[2],ne[2]=ie[10]*de[2],le[0]=ie[8]*he[2],le[1]=ie[9]*he[2],le[2]=ie[10]*he[2],de[0]=Math.min(ye[0],Se[0])+Math.min(ce[0],te[0])+Math.min(ne[0],le[0])+ie[12],de[1]=Math.min(ye[1],Se[1])+Math.min(ce[1],te[1])+Math.min(ne[1],le[1])+ie[13],de[2]=Math.min(ye[2],Se[2])+Math.min(ce[2],te[2])+Math.min(ne[2],le[2])+ie[14],he[0]=Math.max(ye[0],Se[0])+Math.max(ce[0],te[0])+Math.max(ne[0],le[0])+ie[12],he[1]=Math.max(ye[1],Se[1])+Math.max(ce[1],te[1])+Math.max(ne[1],le[1])+ie[13],he[2]=Math.max(ye[2],Se[2])+Math.max(ce[2],te[2])+Math.max(ne[2],le[2])+ie[14],this.min._dirty=!0,this.max._dirty=!0,this}}(),applyProjection:function(ye){var Se=this.min.array,ce=this.max.array,te=ye.array,ne=Se[0],le=Se[1],oe=Se[2],de=ce[0],he=ce[1],ie=Se[2],ue=ce[0],ve=ce[1],xe=ce[2];if(te[15]===1)Se[0]=te[0]*ne+te[12],Se[1]=te[5]*le+te[13],ce[2]=te[10]*oe+te[14],ce[0]=te[0]*ue+te[12],ce[1]=te[5]*ve+te[13],Se[2]=te[10]*xe+te[14];else{var De=-1/oe;Se[0]=te[0]*ne*De,Se[1]=te[5]*le*De,ce[2]=(te[10]*oe+te[14])*De,De=-1/ie,ce[0]=te[0]*de*De,ce[1]=te[5]*he*De,De=-1/xe,Se[2]=(te[10]*xe+te[14])*De}return this.min._dirty=!0,this.max._dirty=!0,this},updateVertices:function(){var ye=this.vertices;if(!ye){for(var ye=[],Se=0;Se<8;Se++)ye[Se]=Ee.fromValues(0,0,0);this.vertices=ye}var ce=this.min.array,te=this.max.array;return we(ye[0],ce[0],ce[1],ce[2]),we(ye[1],ce[0],te[1],ce[2]),we(ye[2],te[0],ce[1],ce[2]),we(ye[3],te[0],te[1],ce[2]),we(ye[4],ce[0],ce[1],te[2]),we(ye[5],ce[0],te[1],te[2]),we(ye[6],te[0],ce[1],te[2]),we(ye[7],te[0],te[1],te[2]),this},copy:function(ye){var Se=this.min,ce=this.max;return be(Se.array,ye.min.array),be(ce.array,ye.max.array),Se._dirty=!0,ce._dirty=!0,this},clone:function(){var ye=new pe;return ye.copy(this),ye}},Fe.a=pe},function(He,Fe,Ce){"use strict";Fe.a=function(_e,Pe,ge){return{seriesType:_e,reset:function(Ee,be){var we=Ee.getData(),pe=Ee.visualColorAccessPath.split(".");pe[pe.length-1]="opacity";var ye=Ee.get(pe);we.setVisual("opacity",ye==null?1:ye);function Se(ce){var te=we.getItemModel(ce),ne=te.get(pe);ne!=null&&we.setItemVisual(ce,"opacity",ne)}return{dataEach:we.hasItemOption?Se:null}}}}},function(He,Fe,Ce){"use strict";var _e=Ce(8),Pe=Ce(6),ge=Ce(21),Ee=Ce(93),be=Ee.a.parseToFloat,we={};function pe(ce,te,ne){var le=Object.keys(ce);le.sort();for(var oe=[],de=0;de=0},getEnabledUniforms:function(){return this._enabledUniforms},getTextureUniforms:function(){return this._textureUniforms},set:function(ce,te){if(typeof ce=="object")for(var ne in ce){var le=ce[ne];this.setUniform(ne,le)}else this.setUniform(ce,te)},get:function(ce){var te=this.uniforms[ce];if(te)return te.value},attachShader:function(ce,te){var ne=this.uniforms;this.uniforms=ce.createUniforms(),this.shader=ce;var le=this.uniforms;this._enabledUniforms=Object.keys(le),this._enabledUniforms.sort(),this._textureUniforms=this._enabledUniforms.filter(function(ve){var xe=this.uniforms[ve].type;return xe==="t"||xe==="tv"},this);var oe=this.vertexDefines,de=this.fragmentDefines;if(this.vertexDefines=ge.a.clone(ce.vertexDefines),this.fragmentDefines=ge.a.clone(ce.fragmentDefines),te){for(var he in ne)le[he]&&(le[he].value=ne[he].value);ge.a.defaults(this.vertexDefines,oe),ge.a.defaults(this.fragmentDefines,de)}var ie={};for(var ue in ce.textures)ie[ue]={shaderType:ce.textures[ue].shaderType,type:ce.textures[ue].type,enabled:te&&this._textureStatus[ue]?this._textureStatus[ue].enabled:!1};this._textureStatus=ie,this._programKey=""},clone:function(){var ce=new this.constructor({name:this.name,shader:this.shader});for(var te in this.uniforms)ce.uniforms[te].value=this.uniforms[te].value;return ce.depthTest=this.depthTest,ce.depthMask=this.depthMask,ce.transparent=this.transparent,ce.blend=this.blend,ce.vertexDefines=ge.a.clone(this.vertexDefines),ce.fragmentDefines=ge.a.clone(this.fragmentDefines),ce.enableTexture(this.getEnabledTextures()),ce.precision=this.precision,ce},define:function(ce,te,ne){var le=this.vertexDefines,oe=this.fragmentDefines;ce!=="vertex"&&ce!=="fragment"&&ce!=="both"&&arguments.length<3&&(ne=te,te=ce,ce="both"),ne=ne!=null?ne:null,(ce==="vertex"||ce==="both")&&le[te]!==ne&&(le[te]=ne,this._programKey=""),(ce==="fragment"||ce==="both")&&oe[te]!==ne&&(oe[te]=ne,ce!=="both"&&(this._programKey=""))},undefine:function(ce,te){ce!=="vertex"&&ce!=="fragment"&&ce!=="both"&&arguments.length<2&&(te=ce,ce="both"),(ce==="vertex"||ce==="both")&&this.isDefined("vertex",te)&&(delete this.vertexDefines[te],this._programKey=""),(ce==="fragment"||ce==="both")&&this.isDefined("fragment",te)&&(delete this.fragmentDefines[te],ce!=="both"&&(this._programKey=""))},isDefined:function(ce,te){switch(ce){case"vertex":return this.vertexDefines[te]!==void 0;case"fragment":return this.fragmentDefines[te]!==void 0}},getDefine:function(ce,te){switch(ce){case"vertex":return this.vertexDefines[te];case"fragment":return this.fragmentDefines[te]}},enableTexture:function(ce){if(Array.isArray(ce)){for(var te=0;te=ue.x&&ie>=ue.y&&he<=ue.x+ue.width&&ie<=ue.y+ue.height};var de=new Se.a;oe.prototype.castRay=function(he,ie,ue){var ve=this.layer.renderer,xe=ve.viewport;return ve.viewport=this.viewport,ve.screenToNDC(he,ie,de),this.camera.castRay(de,ue),ve.viewport=xe,ue},oe.prototype.prepareRender=function(){this.scene.update(),this.camera.update(),this._needsSortProgressively=!1;for(var he=0;he30},oe.prototype._doRender=function(he,ie,ue){var ve=this.scene,xe=this.camera;if(ue=ue||0,this._updateTransparent(he,ve,xe,ue),ie||(this._shadowMapPass.kernelPCF=this._pcfKernels[0],this._shadowMapPass.render(he,ve,xe,!0)),this._updateShadowPCFKernel(ue),he.gl.clearColor(0,0,0,0),this._enablePostEffect&&(this.needsTemporalSS()&&this._temporalSS.jitterProjection(he,xe),this._compositor.updateNormal(he,ve,xe,this._temporalSS.getFrame())),this._updateSSAO(he,ve,xe,this._temporalSS.getFrame()),this._enablePostEffect){var De=this._compositor.getSourceFrameBuffer();De.bind(he),he.gl.clear(he.gl.DEPTH_BUFFER_BIT|he.gl.COLOR_BUFFER_BIT),he.render(ve,xe,!0,!0),De.unbind(he),this.needsTemporalSS()&&ie?(this._compositor.composite(he,xe,this._temporalSS.getSourceFrameBuffer(),this._temporalSS.getFrame()),he.setViewport(this.viewport),this._temporalSS.render(he)):(he.setViewport(this.viewport),this._compositor.composite(he,xe,null,0))}else if(this.needsTemporalSS()&&ie){var De=this._temporalSS.getSourceFrameBuffer();De.bind(he),he.saveClear(),he.clearBit=he.gl.DEPTH_BUFFER_BIT|he.gl.COLOR_BUFFER_BIT,he.render(ve,xe,!0,!0),he.restoreClear(),De.unbind(he),he.setViewport(this.viewport),this._temporalSS.render(he)}else he.setViewport(this.viewport),he.render(ve,xe,!0,!0)},oe.prototype._updateTransparent=function(he,ie,ue,ve){for(var xe=new ye.a,De=new pe.a,Re=ue.getWorldPosition(),Ne=0;Nethis.camera.far||he65535?this.indices instanceof Uint16Array&&(this.indices=new Uint32Array(this.indices)):this.indices instanceof Uint32Array&&(this.indices=new Uint16Array(this.indices)))},setTriangleCount:function(ce){this.triangleCount!==ce&&(ce===0?this.indices=null:this.indices=this.vertexCount>65535?new Uint32Array(ce*3):new Uint16Array(ce*3))},_getCubicCurveApproxStep:function(ce,te,ne,le){var oe=pe.dist(ce,te)+pe.dist(ne,te)+pe.dist(le,ne),de=1/(oe+1)*this.segmentScale;return de},getCubicCurveVertexCount:function(ce,te,ne,le){var oe=this._getCubicCurveApproxStep(ce,te,ne,le),de=Math.ceil(1/oe);return this.useNativeLine?de*2:de*2+2},getCubicCurveTriangleCount:function(ce,te,ne,le){var oe=this._getCubicCurveApproxStep(ce,te,ne,le),de=Math.ceil(1/oe);return this.useNativeLine?0:de*2},getLineVertexCount:function(){return this.getPolylineVertexCount(ye)},getLineTriangleCount:function(){return this.getPolylineTriangleCount(ye)},getPolylineVertexCount:function(ce){var te;if(typeof ce=="number")te=ce;else{var ne=typeof ce[0]!="number";te=ne?ce.length:ce.length/3}return this.useNativeLine?(te-1)*2:(te-1)*2+2},getPolylineTriangleCount:function(ce){var te;if(typeof ce=="number")te=ce;else{var ne=typeof ce[0]!="number";te=ne?ce.length:ce.length/3}return this.useNativeLine?0:Math.max(te-1,0)*2},addCubicCurve:function(ce,te,ne,le,oe,de){de==null&&(de=1);for(var he=ce[0],ie=ce[1],ue=ce[2],ve=te[0],xe=te[1],De=te[2],Re=ne[0],Ne=ne[1],Ue=ne[2],Ge=le[0],Xe=le[1],Qe=le[2],nt=this._getCubicCurveApproxStep(ce,te,ne,le),$e=nt*nt,qe=$e*nt,ut=3*nt,at=3*$e,ft=6*$e,rt=6*qe,ct=he-ve*2+Re,yt=ie-xe*2+Ne,mt=ue-De*2+Ue,ht=(ve-Re)*3-he+Ge,gt=(xe-Ne)*3-ie+Xe,Wt=(De-Ue)*3-ue+Qe,Zt=he,en=ie,dn=ue,Lt=(ve-he)*ut+ct*at+ht*qe,on=(xe-ie)*ut+yt*at+gt*qe,an=(De-ue)*ut+mt*at+Wt*qe,Mn=ct*ft+ht*rt,Bn=yt*ft+gt*rt,sn=mt*ft+Wt*rt,tn=ht*rt,Gt=gt*rt,It=Wt*rt,St=0,Yt=0,vt=Math.ceil(1/nt),At=new Float32Array((vt+1)*3),At=[],Xt=0,Yt=0;Yt1&&(Zt=Lt>0?Math.min(Zt,Ge):Math.max(Zt,Ge),en=on>0?Math.min(en,Xe):Math.max(en,Xe),dn=an>0?Math.min(dn,Qe):Math.max(dn,Qe));return this.addPolyline(At,oe,de)},addLine:function(ce,te,ne,le){return this.addPolyline([ce,te],ne,le)},addPolyline:function(ce,te,ne,le,oe){if(ce.length){var de=typeof ce[0]!="number";if(oe==null&&(oe=de?ce.length:ce.length/3),!(oe<2)){le==null&&(le=0),ne==null&&(ne=1),this._itemVertexOffsets.push(this._vertexOffset);var de=typeof ce[0]!="number",he=de?typeof te[0]!="number":te.length/4===oe,ie=this.attributes.position,ue=this.attributes.positionPrev,ve=this.attributes.positionNext,xe=this.attributes.color,De=this.attributes.offset,Re=this.indices,Ne=this._vertexOffset,Ue,Ge;ne=Math.max(ne,.01);for(var Xe=le;Xe1&&(ie.copy(Ne,Ne-1),xe.copy(Ne,Ne-1),Ne++):(Xe0&&(ve.set(Ne-2,Ue),ve.set(Ne-1,Ue)),ie.set(Ne,Ue),ie.set(Ne+1,Ue),xe.set(Ne,Ge),xe.set(Ne+1,Ge),De.set(Ne,ne/2),De.set(Ne+1,-ne/2),Ne+=2),this.useNativeLine)xe.set(Ne,Ge),ie.set(Ne,Ue),Ne++;else if(Xe>0){var $e=this._triangleOffset*3,Re=this.indices;Re[$e]=Ne-4,Re[$e+1]=Ne-3,Re[$e+2]=Ne-2,Re[$e+3]=Ne-3,Re[$e+4]=Ne-1,Re[$e+5]=Ne-2,this._triangleOffset+=2}}if(!this.useNativeLine){var qe=this._vertexOffset,ut=this._vertexOffset+oe*2;ue.copy(qe,qe+2),ue.copy(qe+1,qe+3),ve.copy(ut-1,ut-3),ve.copy(ut-2,ut-4)}return this._vertexOffset=Ne,this._vertexOffset}}},setItemColor:function(ce,te){for(var ne=this._itemVertexOffsets[ce],le=ce0)},render:function(be,we,pe){var ye=be.gl;if(this.skeleton){this.skeleton.update();var Se=this.skeleton.getSubSkinMatrices(this.__uid__,this.joints);pe.setUniformOfSemantic(ye,"SKIN_MATRIX",Se)}return _e.a.prototype.render.call(this,be,we,pe)},getSkinMatricesTexture:function(){return this._skinMatricesTexture=this._skinMatricesTexture||new ge.a({type:Pe.a.FLOAT,minFilter:Pe.a.NEAREST,magFilter:Pe.a.NEAREST,useMipmap:!1,flipY:!1}),this._skinMatricesTexture}});Ee.POINTS=Pe.a.POINTS,Ee.LINES=Pe.a.LINES,Ee.LINE_LOOP=Pe.a.LINE_LOOP,Ee.LINE_STRIP=Pe.a.LINE_STRIP,Ee.TRIANGLES=Pe.a.TRIANGLES,Ee.TRIANGLE_STRIP=Pe.a.TRIANGLE_STRIP,Ee.TRIANGLE_FAN=Pe.a.TRIANGLE_FAN,Ee.BACK=Pe.a.BACK,Ee.FRONT=Pe.a.FRONT,Ee.FRONT_AND_BACK=Pe.a.FRONT_AND_BACK,Ee.CW=Pe.a.CW,Ee.CCW=Pe.a.CCW,Fe.a=Ee},function(He,Fe,Ce){"use strict";var _e=Ce(6),Pe=Ce(11),ge=Ce(21),Ee=Ce(66),be=Ee.a.isPowerOfTwo,we=["px","nx","py","ny","pz","nz"],pe=_e.a.extend(function(){return{image:{px:null,nx:null,py:null,ny:null,pz:null,nz:null},pixels:{px:null,nx:null,py:null,ny:null,pz:null,nz:null},mipmaps:[]}},{update:function(Se){var ce=Se.gl;ce.bindTexture(ce.TEXTURE_CUBE_MAP,this._cache.get("webgl_texture")),this.updateCommon(Se);var te=this.format,ne=this.type;ce.texParameteri(ce.TEXTURE_CUBE_MAP,ce.TEXTURE_WRAP_S,this.getAvailableWrapS()),ce.texParameteri(ce.TEXTURE_CUBE_MAP,ce.TEXTURE_WRAP_T,this.getAvailableWrapT()),ce.texParameteri(ce.TEXTURE_CUBE_MAP,ce.TEXTURE_MAG_FILTER,this.getAvailableMagFilter()),ce.texParameteri(ce.TEXTURE_CUBE_MAP,ce.TEXTURE_MIN_FILTER,this.getAvailableMinFilter());var le=Se.getGLExtension("EXT_texture_filter_anisotropic");if(le&&this.anisotropic>1&&ce.texParameterf(ce.TEXTURE_CUBE_MAP,le.TEXTURE_MAX_ANISOTROPY_EXT,this.anisotropic),ne===36193){var oe=Se.getGLExtension("OES_texture_half_float");oe||(ne=Pe.a.FLOAT)}if(this.mipmaps.length)for(var de=this.width,he=this.height,ie=0;ie0&&console.warn("Found multiple camera in one scene. Use the fist one."),this._cameraList.push(ce)),ce.name&&(this._nodeRepository[ce.name]=ce)},removeFromScene:function(ce){if(ce instanceof ge.a){var te=this._cameraList.indexOf(ce);te>=0&&this._cameraList.splice(te,1)}ce.name&&delete this._nodeRepository[ce.name]},getNode:function(ce){return this._nodeRepository[ce]},cloneNode:function(ce){var te=ce.clone(),ne={},le=function(de,he){de.skeleton&&(he.skeleton=de.skeleton.clone(ce,te),he.joints=de.joints.slice()),de.material&&(ne[de.material.__uid__]={oldMat:de.material});for(var ie=0;ie0&&this._updateRenderList(le)}},_updateLightUniforms:function(){var ce=this.lights;ce.sort(Se);var te=this._lightUniforms;for(var ne in te)for(var le in te[ne])te[ne][le].value.length=0;for(var oe=0;oe0?_e[Pe].value=new Float32Array(_e[Pe].value):_e[Pe].value=null;this.indices&&this.indices.length>0&&(this.indices=this.vertexCount>65535?new Uint32Array(this.indices):new Uint16Array(this.indices)),this.dirty()}}},function(He,Fe,Ce){"use strict";var _e=Ce(2),Pe=Ce(57),ge=Ce(56),Ee=Ce(0),be=Ce.n(Ee);function we(){}we.prototype={constructor:we,setScene:function(pe){this._scene=pe,this._skybox&&this._skybox.attachScene(this._scene)},initLight:function(pe){this._lightRoot=pe,this.mainLight=new _e.a.DirectionalLight({shadowBias:.005}),this.ambientLight=new _e.a.AmbientLight,pe.add(this.mainLight),pe.add(this.ambientLight)},dispose:function(){this._lightRoot&&(this._lightRoot.remove(this.mainLight),this._lightRoot.remove(this.ambientLight))},updateLight:function(pe){var ye=this.mainLight,Se=this.ambientLight,ce=pe.getModel("light"),te=ce.getModel("main"),ne=ce.getModel("ambient");ye.intensity=te.get("intensity"),Se.intensity=ne.get("intensity"),ye.color=_e.a.parseColor(te.get("color")).slice(0,3),Se.color=_e.a.parseColor(ne.get("color")).slice(0,3);var le=te.get("alpha")||0,oe=te.get("beta")||0;ye.position.setArray(_e.a.directionFromAlphaBeta(le,oe)),ye.lookAt(_e.a.Vector3.ZERO),ye.castShadow=te.get("shadow"),ye.shadowResolution=_e.a.getShadowResolution(te.get("shadowQuality"))},updateAmbientCubemap:function(pe,ye,Se){var ce=ye.getModel("light.ambientCubemap"),te=ce.get("texture");if(te){this._cubemapLightsCache=this._cubemapLightsCache||{};var ne=this._cubemapLightsCache[te];if(!ne){var le=this;ne=this._cubemapLightsCache[te]=_e.a.createAmbientCubemap(ce.option,pe,Se,function(){le._skybox instanceof Pe.a&&le._skybox.setEnvironmentMap(ne.specular.cubemap),Se.getZr().refresh()})}this._lightRoot.add(ne.diffuse),this._lightRoot.add(ne.specular),this._currentCubemapLights=ne}else this._currentCubemapLights&&(this._lightRoot.remove(this._currentCubemapLights.diffuse),this._lightRoot.remove(this._currentCubemapLights.specular),this._currentCubemapLights=null)},updateSkybox:function(pe,ye,Se){var ce=ye.get("environment"),te=this;function ne(){return te._skybox instanceof Pe.a||(te._skybox&&te._skybox.dispose(pe),te._skybox=new Pe.a),te._skybox}function le(){return te._skybox instanceof ge.a||(te._skybox&&te._skybox.dispose(pe),te._skybox=new ge.a),te._skybox}if(ce&&ce!=="none")if(ce==="auto")if(this._currentCubemapLights){var oe=ne(),de=this._currentCubemapLights.specular.cubemap;oe.setEnvironmentMap(de),this._scene&&oe.attachScene(this._scene),oe.material.set("lod",2)}else this._skybox&&this._skybox.detachScene();else if(typeof ce=="object"&&ce.colorStops||typeof ce=="string"&&be.a.color.parse(ce)){var he=le(),ie=new _e.a.Texture2D({anisotropic:8,flipY:!1});he.setEnvironmentMap(ie);var ue=ie.image=document.createElement("canvas");ue.width=ue.height=16;var ve=ue.getContext("2d"),xe=new be.a.graphic.Rect({shape:{x:0,y:0,width:16,height:16},style:{fill:ce}});xe.brush(ve),he.attachScene(this._scene)}else{var he=le(),ie=_e.a.loadTexture(ce,Se,{anisotropic:8,flipY:!1});he.setEnvironmentMap(ie),he.attachScene(this._scene)}else this._skybox&&this._skybox.detachScene(this._scene),this._skybox=null;var De=ye.coordinateSystem;if(this._skybox)if(De&&De.viewGL&&ce!=="auto"&&!(ce.match&&ce.match(/.hdr$/))){var Re=De.viewGL.isLinearSpace()?"define":"undefine";this._skybox.material[Re]("fragment","SRGB_DECODE")}else this._skybox.material.undefine("fragment","SRGB_DECODE")}},Fe.a=we},function(He,Fe,Ce){"use strict";var _e=Ce(0),Pe=Ce.n(_e);function ge(Ee,be){var we=[];return Pe.a.util.each(Ee.dimensions,function(pe){var ye=Ee.getDimensionInfo(pe),Se=ye.otherDims,ce=Se[be];ce!=null&&ce!==!1&&(we[ce]=ye.name)}),we}Fe.a=function(Ee,be,we){function pe(de){var he=!0,ie=[],ue=ge(ye,"tooltip");ue.length?Pe.a.util.each(ue,function(xe){ve(ye.get(xe,be),xe)}):Pe.a.util.each(de,ve);function ve(xe,De){var Re=ye.getDimensionInfo(De);if(!(!Re||Re.otherDims.tooltip===!1)){var Ne=Re.type,Ue=(he?"- "+(Re.tooltipName||Re.name)+": ":"")+(Ne==="ordinal"?xe+"":Ne==="time"?we?"":Pe.a.format.formatTime("yyyy/MM/dd hh:mm:ss",xe):Pe.a.format.addCommas(xe));Ue&&ie.push(Pe.a.format.encodeHTML(Ue))}}return(he?"
    ":"")+ie.join(he?"
    ":", ")}var ye=Ee.getData(),Se=Ee.getRawValue(be),ce=Pe.a.util.isArray(Se)?pe(Se):Pe.a.format.encodeHTML(Pe.a.format.addCommas(Se)),te=ye.getName(be),ne=ye.getItemVisual(be,"color");Pe.a.util.isObject(ne)&&ne.colorStops&&(ne=(ne.colorStops[0]||{}).color),ne=ne||"transparent";var le=Pe.a.format.getTooltipMarker(ne),oe=Ee.name;return oe==="\0-"&&(oe=""),oe=oe?Pe.a.format.encodeHTML(oe)+(we?": ":"
    "):"",we?le+oe+ce:oe+le+(te?Pe.a.format.encodeHTML(te)+": "+ce:ce)}},function(He,Fe,Ce){"use strict";var _e=Ce(51),Pe=_e.a.extend({fov:50,aspect:1,near:.1,far:2e3},{updateProjectionMatrix:function(){var ge=this.fov/180*Math.PI;this.projectionMatrix.perspective(ge,this.aspect,this.near,this.far)},decomposeProjectionMatrix:function(){var ge=this.projectionMatrix.array,Ee=Math.atan(1/ge[5])*2;this.fov=Ee/Math.PI*180,this.aspect=ge[5]/ge[0],this.near=ge[14]/(ge[10]-1),this.far=ge[14]/(ge[10]+1)},clone:function(){var ge=_e.a.prototype.clone.call(this);return ge.fov=this.fov,ge.aspect=this.aspect,ge.near=this.near,ge.far=this.far,ge}});Fe.a=Pe},function(He,Fe,Ce){"use strict";var _e=Ce(13),Pe=Ce(15),ge=_e.a.extend({dynamic:!1,widthSegments:1,heightSegments:1},function(){this.build()},{build:function(){for(var Ee=this.heightSegments,be=this.widthSegments,we=this.attributes,pe=[],ye=[],Se=[],ce=[],te=0;te<=Ee;te++)for(var ne=te/Ee,le=0;le<=be;le++){var oe=le/be;if(pe.push([2*oe-1,2*ne-1,0]),ye&&ye.push([oe,ne]),Se&&Se.push([0,0,1]),le0&&this._notFirst?this.animateTo({alpha:ve,beta:xe,center:De,distance:de,targetOrthographicSize:he,easing:ue.animationEasingUpdate,duration:ue.animationDurationUpdate}):(this.setDistance(de),this.setAlpha(ve),this.setBeta(xe),this.setCenter(De),this.setOrthographicSize(he)),this._notFirst=!0,this._validateProperties()},_validateProperties:function(){pe[this.panMouseButton]==null&&console.error("Unkown panMouseButton %s. It should be left|middle|right",this.panMouseButton),pe[this.rotateMouseButton]==null&&console.error("Unkown rotateMouseButton %s. It should be left|middle|right",this.rotateMouseButton),this.autoRotateDirection!=="cw"&&this.autoRotateDirection!=="ccw"&&console.error("Unkown autoRotateDirection %s. It should be cw|ccw",this.autoRotateDirection)},animateTo:function(ce){var te=this.zr,ne=this,le={},oe={};return ce.distance!=null&&(le.distance=this.getDistance(),oe.distance=ce.distance),ce.orthographicSize!=null&&(le.orthographicSize=this.getOrthographicSize(),oe.orthographicSize=ce.orthographicSize),ce.alpha!=null&&(le.alpha=this.getAlpha(),oe.alpha=ce.alpha),ce.beta!=null&&(le.beta=this.getBeta(),oe.beta=ce.beta),ce.center!=null&&(le.center=this.getCenter(),oe.center=ce.center),this._addAnimator(te.animation.animate(le).when(ce.duration||1e3,oe).during(function(){le.alpha!=null&&ne.setAlpha(le.alpha),le.beta!=null&&ne.setBeta(le.beta),le.distance!=null&&ne.setDistance(le.distance),le.center!=null&&ne.setCenter(le.center),le.orthographicSize!=null&&ne.setOrthographicSize(le.orthographicSize),ne._needsUpdate=!0})).start(ce.easing||"linear")},stopAllAnimation:function(){for(var ce=0;ce0},_update:function(ce){if(this._rotating){var te=(this.autoRotateDirection==="cw"?1:-1)*this.autoRotateSpeed/180*Math.PI;this._phi-=te*ce/1e3,this._needsUpdate=!0}else this._rotateVelocity.len()>0&&(this._needsUpdate=!0);(Math.abs(this._zoomSpeed)>.1||this._panVelocity.len()>0)&&(this._needsUpdate=!0),this._needsUpdate&&(ce=Math.min(ce,50),this._updateDistanceOrSize(ce),this._updatePan(ce),this._updateRotate(ce),this._updateTransform(),this.getCamera().update(),this.zr&&this.zr.refresh(),this.trigger("update"),this._needsUpdate=!1)},_updateRotate:function(ce){var te=this._rotateVelocity;this._phi=te.y*ce/20+this._phi,this._theta=te.x*ce/20+this._theta,this.setAlpha(this.getAlpha()),this.setBeta(this.getBeta()),this._vectorDamping(te,Math.pow(this.damping,ce/16))},_updateDistanceOrSize:function(ce){this._projection==="perspective"?this._setDistance(this._distance+this._zoomSpeed*ce/20):this._setOrthoSize(this._orthoSize+this._zoomSpeed*ce/20),this._zoomSpeed*=Math.pow(this.damping,ce/16)},_setDistance:function(ce){this._distance=Math.max(Math.min(ce,this.maxDistance),this.minDistance)},_setOrthoSize:function(ce){this._orthoSize=Math.max(Math.min(ce,this.maxOrthographicSize),this.minOrthographicSize);var te=this.getCamera(),ne=this._orthoSize,le=ne/this.viewGL.viewport.height*this.viewGL.viewport.width;te.left=-le/2,te.right=le/2,te.top=ne/2,te.bottom=-ne/2},_updatePan:function(ce){var te=this._panVelocity,ne=this._distance,le=this.getCamera(),oe=le.worldTransform.y,de=le.worldTransform.x;this._center.scaleAndAdd(de,-te.x*ne/200).scaleAndAdd(oe,-te.y*ne/200),this._vectorDamping(te,0)},_updateTransform:function(){var ce=this.getCamera(),te=new ge.a,ne=this._theta+Math.PI/2,le=this._phi+Math.PI/2,oe=Math.sin(ne);te.x=oe*Math.cos(le),te.y=-Math.cos(ne),te.z=oe*Math.sin(le),ce.position.copy(this._center).scaleAndAdd(te,this._distance),ce.rotation.identity().rotateY(-this._phi).rotateX(-this._theta)},_startCountingStill:function(){clearTimeout(this._stillTimeout);var ce=this.autoRotateAfterStill,te=this;!isNaN(ce)&&ce>0&&(this._stillTimeout=setTimeout(function(){te._rotating=!0},ce*1e3))},_vectorDamping:function(ce,te){var ne=ce.len();ne=ne*te,ne<1e-4&&(ne=0),ce.normalize().scale(ne)},_decomposeTransform:function(){if(this.getCamera()){this.getCamera().updateWorldTransform();var ce=this.getCamera().worldTransform.z,te=Math.asin(ce.y),ne=Math.atan2(ce.x,ce.z);this._theta=te,this._phi=-ne,this.setBeta(this.getBeta()),this.setAlpha(this.getAlpha()),this.getCamera().aspect?this._setDistance(this.getCamera().position.dist(this._center)):this._setOrthoSize(this.getCamera().top-this.getCamera().bottom)}},_mouseDownHandler:function(ce){if(!ce.target&&!this._isAnimating()){var te=ce.offsetX,ne=ce.offsetY;this.viewGL&&!this.viewGL.containPoint(te,ne)||(this.zr.on("mousemove",this._mouseMoveHandler),this.zr.on("mouseup",this._mouseUpHandler),ce.event.targetTouches?ce.event.targetTouches.length===1&&(this._mode="rotate"):ce.event.button===pe[this.rotateMouseButton]?this._mode="rotate":ce.event.button===pe[this.panMouseButton]?this._mode="pan":this._mode="",this._rotateVelocity.set(0,0),this._rotating=!1,this.autoRotate&&this._startCountingStill(),this._mouseX=ce.offsetX,this._mouseY=ce.offsetY)}},_mouseMoveHandler:function(ce){if(!(ce.target&&ce.target.__isGLToZRProxy)&&!this._isAnimating()){var te=ye(this.panSensitivity),ne=ye(this.rotateSensitivity);this._mode==="rotate"?(this._rotateVelocity.y=(ce.offsetX-this._mouseX)/this.zr.getHeight()*2*ne[0],this._rotateVelocity.x=(ce.offsetY-this._mouseY)/this.zr.getWidth()*2*ne[1]):this._mode==="pan"&&(this._panVelocity.x=(ce.offsetX-this._mouseX)/this.zr.getWidth()*te[0]*400,this._panVelocity.y=(-ce.offsetY+this._mouseY)/this.zr.getHeight()*te[1]*400),this._mouseX=ce.offsetX,this._mouseY=ce.offsetY,ce.event.preventDefault()}},_mouseWheelHandler:function(ce){if(!this._isAnimating()){var te=ce.event.wheelDelta||-ce.event.detail;this._zoomHandler(ce,te)}},_pinchHandler:function(ce){this._isAnimating()||(this._zoomHandler(ce,ce.pinchScale>1?1:-1),this._mode="")},_zoomHandler:function(ce,te){if(te!==0){var ne=ce.offsetX,le=ce.offsetY;if(!(this.viewGL&&!this.viewGL.containPoint(ne,le))){var oe;this._projection==="perspective"?oe=Math.max(Math.max(Math.min(this._distance-this.minDistance,this.maxDistance-this._distance))/20,.5):oe=Math.max(Math.max(Math.min(this._orthoSize-this.minOrthographicSize,this.maxOrthographicSize-this._orthoSize))/20,.5),this._zoomSpeed=(te>0?-1:1)*oe*this.zoomSensitivity,this._rotating=!1,this.autoRotate&&this._mode==="rotate"&&this._startCountingStill(),ce.event.preventDefault()}}},_mouseUpHandler:function(){this.zr.off("mousemove",this._mouseMoveHandler),this.zr.off("mouseup",this._mouseUpHandler)},_isRightMouseButtonUsed:function(){return this.rotateMouseButton==="right"||this.panMouseButton==="right"},_contextMenuHandler:function(ce){this._isRightMouseButtonUsed()&&ce.preventDefault()},_addAnimator:function(ce){var te=this._animators;return te.push(ce),ce.done(function(){var ne=te.indexOf(ce);ne>=0&&te.splice(ne,1)}),ce}});Object.defineProperty(Se.prototype,"autoRotate",{get:function(ce){return this._autoRotate},set:function(ce){this._autoRotate=ce,this._rotating=ce}}),Fe.a=Se},function(He,Fe,Ce){"use strict";Fe.a=`@export ecgl.lines3D.vertex +`);if(we[he])return we[he];var ie=ge.a.genGUID();return we[he]=ie,ie}var Se=_e.a.extend(function(){return{name:"",depthTest:!0,depthMask:!0,transparent:!1,blend:null,autoUpdateTextureStatus:!0,uniforms:{},vertexDefines:{},fragmentDefines:{},_textureStatus:{},_enabledUniforms:null}},function(){this.name||(this.name="MATERIAL_"+this.__uid__),this.shader&&this.attachShader(this.shader,!0)},{precision:"highp",bind:function(ce,te,ne,le){for(var oe=ce.gl,de=te.currentTextureSlot(),he=0;he=0},getEnabledUniforms:function(){return this._enabledUniforms},getTextureUniforms:function(){return this._textureUniforms},set:function(ce,te){if(typeof ce=="object")for(var ne in ce){var le=ce[ne];this.setUniform(ne,le)}else this.setUniform(ce,te)},get:function(ce){var te=this.uniforms[ce];if(te)return te.value},attachShader:function(ce,te){var ne=this.uniforms;this.uniforms=ce.createUniforms(),this.shader=ce;var le=this.uniforms;this._enabledUniforms=Object.keys(le),this._enabledUniforms.sort(),this._textureUniforms=this._enabledUniforms.filter(function(ve){var xe=this.uniforms[ve].type;return xe==="t"||xe==="tv"},this);var oe=this.vertexDefines,de=this.fragmentDefines;if(this.vertexDefines=ge.a.clone(ce.vertexDefines),this.fragmentDefines=ge.a.clone(ce.fragmentDefines),te){for(var he in ne)le[he]&&(le[he].value=ne[he].value);ge.a.defaults(this.vertexDefines,oe),ge.a.defaults(this.fragmentDefines,de)}var ie={};for(var ue in ce.textures)ie[ue]={shaderType:ce.textures[ue].shaderType,type:ce.textures[ue].type,enabled:te&&this._textureStatus[ue]?this._textureStatus[ue].enabled:!1};this._textureStatus=ie,this._programKey=""},clone:function(){var ce=new this.constructor({name:this.name,shader:this.shader});for(var te in this.uniforms)ce.uniforms[te].value=this.uniforms[te].value;return ce.depthTest=this.depthTest,ce.depthMask=this.depthMask,ce.transparent=this.transparent,ce.blend=this.blend,ce.vertexDefines=ge.a.clone(this.vertexDefines),ce.fragmentDefines=ge.a.clone(this.fragmentDefines),ce.enableTexture(this.getEnabledTextures()),ce.precision=this.precision,ce},define:function(ce,te,ne){var le=this.vertexDefines,oe=this.fragmentDefines;ce!=="vertex"&&ce!=="fragment"&&ce!=="both"&&arguments.length<3&&(ne=te,te=ce,ce="both"),ne=ne!=null?ne:null,(ce==="vertex"||ce==="both")&&le[te]!==ne&&(le[te]=ne,this._programKey=""),(ce==="fragment"||ce==="both")&&oe[te]!==ne&&(oe[te]=ne,ce!=="both"&&(this._programKey=""))},undefine:function(ce,te){ce!=="vertex"&&ce!=="fragment"&&ce!=="both"&&arguments.length<2&&(te=ce,ce="both"),(ce==="vertex"||ce==="both")&&this.isDefined("vertex",te)&&(delete this.vertexDefines[te],this._programKey=""),(ce==="fragment"||ce==="both")&&this.isDefined("fragment",te)&&(delete this.fragmentDefines[te],ce!=="both"&&(this._programKey=""))},isDefined:function(ce,te){switch(ce){case"vertex":return this.vertexDefines[te]!==void 0;case"fragment":return this.fragmentDefines[te]!==void 0}},getDefine:function(ce,te){switch(ce){case"vertex":return this.vertexDefines[te];case"fragment":return this.fragmentDefines[te]}},enableTexture:function(ce){if(Array.isArray(ce)){for(var te=0;te=ue.x&&ie>=ue.y&&he<=ue.x+ue.width&&ie<=ue.y+ue.height};var de=new Se.a;oe.prototype.castRay=function(he,ie,ue){var ve=this.layer.renderer,xe=ve.viewport;return ve.viewport=this.viewport,ve.screenToNDC(he,ie,de),this.camera.castRay(de,ue),ve.viewport=xe,ue},oe.prototype.prepareRender=function(){this.scene.update(),this.camera.update(),this._needsSortProgressively=!1;for(var he=0;he30},oe.prototype._doRender=function(he,ie,ue){var ve=this.scene,xe=this.camera;if(ue=ue||0,this._updateTransparent(he,ve,xe,ue),ie||(this._shadowMapPass.kernelPCF=this._pcfKernels[0],this._shadowMapPass.render(he,ve,xe,!0)),this._updateShadowPCFKernel(ue),he.gl.clearColor(0,0,0,0),this._enablePostEffect&&(this.needsTemporalSS()&&this._temporalSS.jitterProjection(he,xe),this._compositor.updateNormal(he,ve,xe,this._temporalSS.getFrame())),this._updateSSAO(he,ve,xe,this._temporalSS.getFrame()),this._enablePostEffect){var De=this._compositor.getSourceFrameBuffer();De.bind(he),he.gl.clear(he.gl.DEPTH_BUFFER_BIT|he.gl.COLOR_BUFFER_BIT),he.render(ve,xe,!0,!0),De.unbind(he),this.needsTemporalSS()&&ie?(this._compositor.composite(he,xe,this._temporalSS.getSourceFrameBuffer(),this._temporalSS.getFrame()),he.setViewport(this.viewport),this._temporalSS.render(he)):(he.setViewport(this.viewport),this._compositor.composite(he,xe,null,0))}else if(this.needsTemporalSS()&&ie){var De=this._temporalSS.getSourceFrameBuffer();De.bind(he),he.saveClear(),he.clearBit=he.gl.DEPTH_BUFFER_BIT|he.gl.COLOR_BUFFER_BIT,he.render(ve,xe,!0,!0),he.restoreClear(),De.unbind(he),he.setViewport(this.viewport),this._temporalSS.render(he)}else he.setViewport(this.viewport),he.render(ve,xe,!0,!0)},oe.prototype._updateTransparent=function(he,ie,ue,ve){for(var xe=new ye.a,De=new pe.a,Re=ue.getWorldPosition(),Ne=0;Nethis.camera.far||he65535?this.indices instanceof Uint16Array&&(this.indices=new Uint32Array(this.indices)):this.indices instanceof Uint32Array&&(this.indices=new Uint16Array(this.indices)))},setTriangleCount:function(ce){this.triangleCount!==ce&&(ce===0?this.indices=null:this.indices=this.vertexCount>65535?new Uint32Array(ce*3):new Uint16Array(ce*3))},_getCubicCurveApproxStep:function(ce,te,ne,le){var oe=pe.dist(ce,te)+pe.dist(ne,te)+pe.dist(le,ne),de=1/(oe+1)*this.segmentScale;return de},getCubicCurveVertexCount:function(ce,te,ne,le){var oe=this._getCubicCurveApproxStep(ce,te,ne,le),de=Math.ceil(1/oe);return this.useNativeLine?de*2:de*2+2},getCubicCurveTriangleCount:function(ce,te,ne,le){var oe=this._getCubicCurveApproxStep(ce,te,ne,le),de=Math.ceil(1/oe);return this.useNativeLine?0:de*2},getLineVertexCount:function(){return this.getPolylineVertexCount(ye)},getLineTriangleCount:function(){return this.getPolylineTriangleCount(ye)},getPolylineVertexCount:function(ce){var te;if(typeof ce=="number")te=ce;else{var ne=typeof ce[0]!="number";te=ne?ce.length:ce.length/3}return this.useNativeLine?(te-1)*2:(te-1)*2+2},getPolylineTriangleCount:function(ce){var te;if(typeof ce=="number")te=ce;else{var ne=typeof ce[0]!="number";te=ne?ce.length:ce.length/3}return this.useNativeLine?0:Math.max(te-1,0)*2},addCubicCurve:function(ce,te,ne,le,oe,de){de==null&&(de=1);for(var he=ce[0],ie=ce[1],ue=ce[2],ve=te[0],xe=te[1],De=te[2],Re=ne[0],Ne=ne[1],ze=ne[2],Ge=le[0],Xe=le[1],Qe=le[2],nt=this._getCubicCurveApproxStep(ce,te,ne,le),$e=nt*nt,qe=$e*nt,lt=3*nt,it=3*$e,ft=6*$e,rt=6*qe,ct=he-ve*2+Re,yt=ie-xe*2+Ne,mt=ue-De*2+ze,ht=(ve-Re)*3-he+Ge,gt=(xe-Ne)*3-ie+Xe,Wt=(De-ze)*3-ue+Qe,Zt=he,en=ie,dn=ue,Lt=(ve-he)*lt+ct*it+ht*qe,an=(xe-ie)*lt+yt*it+gt*qe,rn=(De-ue)*lt+mt*it+Wt*qe,Mn=ct*ft+ht*rt,Bn=yt*ft+gt*rt,sn=mt*ft+Wt*rt,tn=ht*rt,Gt=gt*rt,It=Wt*rt,St=0,Yt=0,vt=Math.ceil(1/nt),At=new Float32Array((vt+1)*3),At=[],Xt=0,Yt=0;Yt1&&(Zt=Lt>0?Math.min(Zt,Ge):Math.max(Zt,Ge),en=an>0?Math.min(en,Xe):Math.max(en,Xe),dn=rn>0?Math.min(dn,Qe):Math.max(dn,Qe));return this.addPolyline(At,oe,de)},addLine:function(ce,te,ne,le){return this.addPolyline([ce,te],ne,le)},addPolyline:function(ce,te,ne,le,oe){if(ce.length){var de=typeof ce[0]!="number";if(oe==null&&(oe=de?ce.length:ce.length/3),!(oe<2)){le==null&&(le=0),ne==null&&(ne=1),this._itemVertexOffsets.push(this._vertexOffset);var de=typeof ce[0]!="number",he=de?typeof te[0]!="number":te.length/4===oe,ie=this.attributes.position,ue=this.attributes.positionPrev,ve=this.attributes.positionNext,xe=this.attributes.color,De=this.attributes.offset,Re=this.indices,Ne=this._vertexOffset,ze,Ge;ne=Math.max(ne,.01);for(var Xe=le;Xe1&&(ie.copy(Ne,Ne-1),xe.copy(Ne,Ne-1),Ne++):(Xe0&&(ve.set(Ne-2,ze),ve.set(Ne-1,ze)),ie.set(Ne,ze),ie.set(Ne+1,ze),xe.set(Ne,Ge),xe.set(Ne+1,Ge),De.set(Ne,ne/2),De.set(Ne+1,-ne/2),Ne+=2),this.useNativeLine)xe.set(Ne,Ge),ie.set(Ne,ze),Ne++;else if(Xe>0){var $e=this._triangleOffset*3,Re=this.indices;Re[$e]=Ne-4,Re[$e+1]=Ne-3,Re[$e+2]=Ne-2,Re[$e+3]=Ne-3,Re[$e+4]=Ne-1,Re[$e+5]=Ne-2,this._triangleOffset+=2}}if(!this.useNativeLine){var qe=this._vertexOffset,lt=this._vertexOffset+oe*2;ue.copy(qe,qe+2),ue.copy(qe+1,qe+3),ve.copy(lt-1,lt-3),ve.copy(lt-2,lt-4)}return this._vertexOffset=Ne,this._vertexOffset}}},setItemColor:function(ce,te){for(var ne=this._itemVertexOffsets[ce],le=ce0)},render:function(be,we,pe){var ye=be.gl;if(this.skeleton){this.skeleton.update();var Se=this.skeleton.getSubSkinMatrices(this.__uid__,this.joints);pe.setUniformOfSemantic(ye,"SKIN_MATRIX",Se)}return _e.a.prototype.render.call(this,be,we,pe)},getSkinMatricesTexture:function(){return this._skinMatricesTexture=this._skinMatricesTexture||new ge.a({type:Pe.a.FLOAT,minFilter:Pe.a.NEAREST,magFilter:Pe.a.NEAREST,useMipmap:!1,flipY:!1}),this._skinMatricesTexture}});Ee.POINTS=Pe.a.POINTS,Ee.LINES=Pe.a.LINES,Ee.LINE_LOOP=Pe.a.LINE_LOOP,Ee.LINE_STRIP=Pe.a.LINE_STRIP,Ee.TRIANGLES=Pe.a.TRIANGLES,Ee.TRIANGLE_STRIP=Pe.a.TRIANGLE_STRIP,Ee.TRIANGLE_FAN=Pe.a.TRIANGLE_FAN,Ee.BACK=Pe.a.BACK,Ee.FRONT=Pe.a.FRONT,Ee.FRONT_AND_BACK=Pe.a.FRONT_AND_BACK,Ee.CW=Pe.a.CW,Ee.CCW=Pe.a.CCW,Fe.a=Ee},function(He,Fe,Ce){"use strict";var _e=Ce(6),Pe=Ce(11),ge=Ce(21),Ee=Ce(66),be=Ee.a.isPowerOfTwo,we=["px","nx","py","ny","pz","nz"],pe=_e.a.extend(function(){return{image:{px:null,nx:null,py:null,ny:null,pz:null,nz:null},pixels:{px:null,nx:null,py:null,ny:null,pz:null,nz:null},mipmaps:[]}},{update:function(Se){var ce=Se.gl;ce.bindTexture(ce.TEXTURE_CUBE_MAP,this._cache.get("webgl_texture")),this.updateCommon(Se);var te=this.format,ne=this.type;ce.texParameteri(ce.TEXTURE_CUBE_MAP,ce.TEXTURE_WRAP_S,this.getAvailableWrapS()),ce.texParameteri(ce.TEXTURE_CUBE_MAP,ce.TEXTURE_WRAP_T,this.getAvailableWrapT()),ce.texParameteri(ce.TEXTURE_CUBE_MAP,ce.TEXTURE_MAG_FILTER,this.getAvailableMagFilter()),ce.texParameteri(ce.TEXTURE_CUBE_MAP,ce.TEXTURE_MIN_FILTER,this.getAvailableMinFilter());var le=Se.getGLExtension("EXT_texture_filter_anisotropic");if(le&&this.anisotropic>1&&ce.texParameterf(ce.TEXTURE_CUBE_MAP,le.TEXTURE_MAX_ANISOTROPY_EXT,this.anisotropic),ne===36193){var oe=Se.getGLExtension("OES_texture_half_float");oe||(ne=Pe.a.FLOAT)}if(this.mipmaps.length)for(var de=this.width,he=this.height,ie=0;ie0&&console.warn("Found multiple camera in one scene. Use the fist one."),this._cameraList.push(ce)),ce.name&&(this._nodeRepository[ce.name]=ce)},removeFromScene:function(ce){if(ce instanceof ge.a){var te=this._cameraList.indexOf(ce);te>=0&&this._cameraList.splice(te,1)}ce.name&&delete this._nodeRepository[ce.name]},getNode:function(ce){return this._nodeRepository[ce]},cloneNode:function(ce){var te=ce.clone(),ne={},le=function(de,he){de.skeleton&&(he.skeleton=de.skeleton.clone(ce,te),he.joints=de.joints.slice()),de.material&&(ne[de.material.__uid__]={oldMat:de.material});for(var ie=0;ie0&&this._updateRenderList(le)}},_updateLightUniforms:function(){var ce=this.lights;ce.sort(Se);var te=this._lightUniforms;for(var ne in te)for(var le in te[ne])te[ne][le].value.length=0;for(var oe=0;oe0?_e[Pe].value=new Float32Array(_e[Pe].value):_e[Pe].value=null;this.indices&&this.indices.length>0&&(this.indices=this.vertexCount>65535?new Uint32Array(this.indices):new Uint16Array(this.indices)),this.dirty()}}},function(He,Fe,Ce){"use strict";var _e=Ce(2),Pe=Ce(57),ge=Ce(56),Ee=Ce(0),be=Ce.n(Ee);function we(){}we.prototype={constructor:we,setScene:function(pe){this._scene=pe,this._skybox&&this._skybox.attachScene(this._scene)},initLight:function(pe){this._lightRoot=pe,this.mainLight=new _e.a.DirectionalLight({shadowBias:.005}),this.ambientLight=new _e.a.AmbientLight,pe.add(this.mainLight),pe.add(this.ambientLight)},dispose:function(){this._lightRoot&&(this._lightRoot.remove(this.mainLight),this._lightRoot.remove(this.ambientLight))},updateLight:function(pe){var ye=this.mainLight,Se=this.ambientLight,ce=pe.getModel("light"),te=ce.getModel("main"),ne=ce.getModel("ambient");ye.intensity=te.get("intensity"),Se.intensity=ne.get("intensity"),ye.color=_e.a.parseColor(te.get("color")).slice(0,3),Se.color=_e.a.parseColor(ne.get("color")).slice(0,3);var le=te.get("alpha")||0,oe=te.get("beta")||0;ye.position.setArray(_e.a.directionFromAlphaBeta(le,oe)),ye.lookAt(_e.a.Vector3.ZERO),ye.castShadow=te.get("shadow"),ye.shadowResolution=_e.a.getShadowResolution(te.get("shadowQuality"))},updateAmbientCubemap:function(pe,ye,Se){var ce=ye.getModel("light.ambientCubemap"),te=ce.get("texture");if(te){this._cubemapLightsCache=this._cubemapLightsCache||{};var ne=this._cubemapLightsCache[te];if(!ne){var le=this;ne=this._cubemapLightsCache[te]=_e.a.createAmbientCubemap(ce.option,pe,Se,function(){le._skybox instanceof Pe.a&&le._skybox.setEnvironmentMap(ne.specular.cubemap),Se.getZr().refresh()})}this._lightRoot.add(ne.diffuse),this._lightRoot.add(ne.specular),this._currentCubemapLights=ne}else this._currentCubemapLights&&(this._lightRoot.remove(this._currentCubemapLights.diffuse),this._lightRoot.remove(this._currentCubemapLights.specular),this._currentCubemapLights=null)},updateSkybox:function(pe,ye,Se){var ce=ye.get("environment"),te=this;function ne(){return te._skybox instanceof Pe.a||(te._skybox&&te._skybox.dispose(pe),te._skybox=new Pe.a),te._skybox}function le(){return te._skybox instanceof ge.a||(te._skybox&&te._skybox.dispose(pe),te._skybox=new ge.a),te._skybox}if(ce&&ce!=="none")if(ce==="auto")if(this._currentCubemapLights){var oe=ne(),de=this._currentCubemapLights.specular.cubemap;oe.setEnvironmentMap(de),this._scene&&oe.attachScene(this._scene),oe.material.set("lod",2)}else this._skybox&&this._skybox.detachScene();else if(typeof ce=="object"&&ce.colorStops||typeof ce=="string"&&be.a.color.parse(ce)){var he=le(),ie=new _e.a.Texture2D({anisotropic:8,flipY:!1});he.setEnvironmentMap(ie);var ue=ie.image=document.createElement("canvas");ue.width=ue.height=16;var ve=ue.getContext("2d"),xe=new be.a.graphic.Rect({shape:{x:0,y:0,width:16,height:16},style:{fill:ce}});xe.brush(ve),he.attachScene(this._scene)}else{var he=le(),ie=_e.a.loadTexture(ce,Se,{anisotropic:8,flipY:!1});he.setEnvironmentMap(ie),he.attachScene(this._scene)}else this._skybox&&this._skybox.detachScene(this._scene),this._skybox=null;var De=ye.coordinateSystem;if(this._skybox)if(De&&De.viewGL&&ce!=="auto"&&!(ce.match&&ce.match(/.hdr$/))){var Re=De.viewGL.isLinearSpace()?"define":"undefine";this._skybox.material[Re]("fragment","SRGB_DECODE")}else this._skybox.material.undefine("fragment","SRGB_DECODE")}},Fe.a=we},function(He,Fe,Ce){"use strict";var _e=Ce(0),Pe=Ce.n(_e);function ge(Ee,be){var we=[];return Pe.a.util.each(Ee.dimensions,function(pe){var ye=Ee.getDimensionInfo(pe),Se=ye.otherDims,ce=Se[be];ce!=null&&ce!==!1&&(we[ce]=ye.name)}),we}Fe.a=function(Ee,be,we){function pe(de){var he=!0,ie=[],ue=ge(ye,"tooltip");ue.length?Pe.a.util.each(ue,function(xe){ve(ye.get(xe,be),xe)}):Pe.a.util.each(de,ve);function ve(xe,De){var Re=ye.getDimensionInfo(De);if(!(!Re||Re.otherDims.tooltip===!1)){var Ne=Re.type,ze=(he?"- "+(Re.tooltipName||Re.name)+": ":"")+(Ne==="ordinal"?xe+"":Ne==="time"?we?"":Pe.a.format.formatTime("yyyy/MM/dd hh:mm:ss",xe):Pe.a.format.addCommas(xe));ze&&ie.push(Pe.a.format.encodeHTML(ze))}}return(he?"
    ":"")+ie.join(he?"
    ":", ")}var ye=Ee.getData(),Se=Ee.getRawValue(be),ce=Pe.a.util.isArray(Se)?pe(Se):Pe.a.format.encodeHTML(Pe.a.format.addCommas(Se)),te=ye.getName(be),ne=ye.getItemVisual(be,"color");Pe.a.util.isObject(ne)&&ne.colorStops&&(ne=(ne.colorStops[0]||{}).color),ne=ne||"transparent";var le=Pe.a.format.getTooltipMarker(ne),oe=Ee.name;return oe==="\0-"&&(oe=""),oe=oe?Pe.a.format.encodeHTML(oe)+(we?": ":"
    "):"",we?le+oe+ce:oe+le+(te?Pe.a.format.encodeHTML(te)+": "+ce:ce)}},function(He,Fe,Ce){"use strict";var _e=Ce(51),Pe=_e.a.extend({fov:50,aspect:1,near:.1,far:2e3},{updateProjectionMatrix:function(){var ge=this.fov/180*Math.PI;this.projectionMatrix.perspective(ge,this.aspect,this.near,this.far)},decomposeProjectionMatrix:function(){var ge=this.projectionMatrix.array,Ee=Math.atan(1/ge[5])*2;this.fov=Ee/Math.PI*180,this.aspect=ge[5]/ge[0],this.near=ge[14]/(ge[10]-1),this.far=ge[14]/(ge[10]+1)},clone:function(){var ge=_e.a.prototype.clone.call(this);return ge.fov=this.fov,ge.aspect=this.aspect,ge.near=this.near,ge.far=this.far,ge}});Fe.a=Pe},function(He,Fe,Ce){"use strict";var _e=Ce(13),Pe=Ce(15),ge=_e.a.extend({dynamic:!1,widthSegments:1,heightSegments:1},function(){this.build()},{build:function(){for(var Ee=this.heightSegments,be=this.widthSegments,we=this.attributes,pe=[],ye=[],Se=[],ce=[],te=0;te<=Ee;te++)for(var ne=te/Ee,le=0;le<=be;le++){var oe=le/be;if(pe.push([2*oe-1,2*ne-1,0]),ye&&ye.push([oe,ne]),Se&&Se.push([0,0,1]),le0&&this._notFirst?this.animateTo({alpha:ve,beta:xe,center:De,distance:de,targetOrthographicSize:he,easing:ue.animationEasingUpdate,duration:ue.animationDurationUpdate}):(this.setDistance(de),this.setAlpha(ve),this.setBeta(xe),this.setCenter(De),this.setOrthographicSize(he)),this._notFirst=!0,this._validateProperties()},_validateProperties:function(){pe[this.panMouseButton]==null&&console.error("Unkown panMouseButton %s. It should be left|middle|right",this.panMouseButton),pe[this.rotateMouseButton]==null&&console.error("Unkown rotateMouseButton %s. It should be left|middle|right",this.rotateMouseButton),this.autoRotateDirection!=="cw"&&this.autoRotateDirection!=="ccw"&&console.error("Unkown autoRotateDirection %s. It should be cw|ccw",this.autoRotateDirection)},animateTo:function(ce){var te=this.zr,ne=this,le={},oe={};return ce.distance!=null&&(le.distance=this.getDistance(),oe.distance=ce.distance),ce.orthographicSize!=null&&(le.orthographicSize=this.getOrthographicSize(),oe.orthographicSize=ce.orthographicSize),ce.alpha!=null&&(le.alpha=this.getAlpha(),oe.alpha=ce.alpha),ce.beta!=null&&(le.beta=this.getBeta(),oe.beta=ce.beta),ce.center!=null&&(le.center=this.getCenter(),oe.center=ce.center),this._addAnimator(te.animation.animate(le).when(ce.duration||1e3,oe).during(function(){le.alpha!=null&&ne.setAlpha(le.alpha),le.beta!=null&&ne.setBeta(le.beta),le.distance!=null&&ne.setDistance(le.distance),le.center!=null&&ne.setCenter(le.center),le.orthographicSize!=null&&ne.setOrthographicSize(le.orthographicSize),ne._needsUpdate=!0})).start(ce.easing||"linear")},stopAllAnimation:function(){for(var ce=0;ce0},_update:function(ce){if(this._rotating){var te=(this.autoRotateDirection==="cw"?1:-1)*this.autoRotateSpeed/180*Math.PI;this._phi-=te*ce/1e3,this._needsUpdate=!0}else this._rotateVelocity.len()>0&&(this._needsUpdate=!0);(Math.abs(this._zoomSpeed)>.1||this._panVelocity.len()>0)&&(this._needsUpdate=!0),this._needsUpdate&&(ce=Math.min(ce,50),this._updateDistanceOrSize(ce),this._updatePan(ce),this._updateRotate(ce),this._updateTransform(),this.getCamera().update(),this.zr&&this.zr.refresh(),this.trigger("update"),this._needsUpdate=!1)},_updateRotate:function(ce){var te=this._rotateVelocity;this._phi=te.y*ce/20+this._phi,this._theta=te.x*ce/20+this._theta,this.setAlpha(this.getAlpha()),this.setBeta(this.getBeta()),this._vectorDamping(te,Math.pow(this.damping,ce/16))},_updateDistanceOrSize:function(ce){this._projection==="perspective"?this._setDistance(this._distance+this._zoomSpeed*ce/20):this._setOrthoSize(this._orthoSize+this._zoomSpeed*ce/20),this._zoomSpeed*=Math.pow(this.damping,ce/16)},_setDistance:function(ce){this._distance=Math.max(Math.min(ce,this.maxDistance),this.minDistance)},_setOrthoSize:function(ce){this._orthoSize=Math.max(Math.min(ce,this.maxOrthographicSize),this.minOrthographicSize);var te=this.getCamera(),ne=this._orthoSize,le=ne/this.viewGL.viewport.height*this.viewGL.viewport.width;te.left=-le/2,te.right=le/2,te.top=ne/2,te.bottom=-ne/2},_updatePan:function(ce){var te=this._panVelocity,ne=this._distance,le=this.getCamera(),oe=le.worldTransform.y,de=le.worldTransform.x;this._center.scaleAndAdd(de,-te.x*ne/200).scaleAndAdd(oe,-te.y*ne/200),this._vectorDamping(te,0)},_updateTransform:function(){var ce=this.getCamera(),te=new ge.a,ne=this._theta+Math.PI/2,le=this._phi+Math.PI/2,oe=Math.sin(ne);te.x=oe*Math.cos(le),te.y=-Math.cos(ne),te.z=oe*Math.sin(le),ce.position.copy(this._center).scaleAndAdd(te,this._distance),ce.rotation.identity().rotateY(-this._phi).rotateX(-this._theta)},_startCountingStill:function(){clearTimeout(this._stillTimeout);var ce=this.autoRotateAfterStill,te=this;!isNaN(ce)&&ce>0&&(this._stillTimeout=setTimeout(function(){te._rotating=!0},ce*1e3))},_vectorDamping:function(ce,te){var ne=ce.len();ne=ne*te,ne<1e-4&&(ne=0),ce.normalize().scale(ne)},_decomposeTransform:function(){if(this.getCamera()){this.getCamera().updateWorldTransform();var ce=this.getCamera().worldTransform.z,te=Math.asin(ce.y),ne=Math.atan2(ce.x,ce.z);this._theta=te,this._phi=-ne,this.setBeta(this.getBeta()),this.setAlpha(this.getAlpha()),this.getCamera().aspect?this._setDistance(this.getCamera().position.dist(this._center)):this._setOrthoSize(this.getCamera().top-this.getCamera().bottom)}},_mouseDownHandler:function(ce){if(!ce.target&&!this._isAnimating()){var te=ce.offsetX,ne=ce.offsetY;this.viewGL&&!this.viewGL.containPoint(te,ne)||(this.zr.on("mousemove",this._mouseMoveHandler),this.zr.on("mouseup",this._mouseUpHandler),ce.event.targetTouches?ce.event.targetTouches.length===1&&(this._mode="rotate"):ce.event.button===pe[this.rotateMouseButton]?this._mode="rotate":ce.event.button===pe[this.panMouseButton]?this._mode="pan":this._mode="",this._rotateVelocity.set(0,0),this._rotating=!1,this.autoRotate&&this._startCountingStill(),this._mouseX=ce.offsetX,this._mouseY=ce.offsetY)}},_mouseMoveHandler:function(ce){if(!(ce.target&&ce.target.__isGLToZRProxy)&&!this._isAnimating()){var te=ye(this.panSensitivity),ne=ye(this.rotateSensitivity);this._mode==="rotate"?(this._rotateVelocity.y=(ce.offsetX-this._mouseX)/this.zr.getHeight()*2*ne[0],this._rotateVelocity.x=(ce.offsetY-this._mouseY)/this.zr.getWidth()*2*ne[1]):this._mode==="pan"&&(this._panVelocity.x=(ce.offsetX-this._mouseX)/this.zr.getWidth()*te[0]*400,this._panVelocity.y=(-ce.offsetY+this._mouseY)/this.zr.getHeight()*te[1]*400),this._mouseX=ce.offsetX,this._mouseY=ce.offsetY,ce.event.preventDefault()}},_mouseWheelHandler:function(ce){if(!this._isAnimating()){var te=ce.event.wheelDelta||-ce.event.detail;this._zoomHandler(ce,te)}},_pinchHandler:function(ce){this._isAnimating()||(this._zoomHandler(ce,ce.pinchScale>1?1:-1),this._mode="")},_zoomHandler:function(ce,te){if(te!==0){var ne=ce.offsetX,le=ce.offsetY;if(!(this.viewGL&&!this.viewGL.containPoint(ne,le))){var oe;this._projection==="perspective"?oe=Math.max(Math.max(Math.min(this._distance-this.minDistance,this.maxDistance-this._distance))/20,.5):oe=Math.max(Math.max(Math.min(this._orthoSize-this.minOrthographicSize,this.maxOrthographicSize-this._orthoSize))/20,.5),this._zoomSpeed=(te>0?-1:1)*oe*this.zoomSensitivity,this._rotating=!1,this.autoRotate&&this._mode==="rotate"&&this._startCountingStill(),ce.event.preventDefault()}}},_mouseUpHandler:function(){this.zr.off("mousemove",this._mouseMoveHandler),this.zr.off("mouseup",this._mouseUpHandler)},_isRightMouseButtonUsed:function(){return this.rotateMouseButton==="right"||this.panMouseButton==="right"},_contextMenuHandler:function(ce){this._isRightMouseButtonUsed()&&ce.preventDefault()},_addAnimator:function(ce){var te=this._animators;return te.push(ce),ce.done(function(){var ne=te.indexOf(ce);ne>=0&&te.splice(ne,1)}),ce}});Object.defineProperty(Se.prototype,"autoRotate",{get:function(ce){return this._autoRotate},set:function(ce){this._autoRotate=ce,this._rotating=ce}}),Fe.a=Se},function(He,Fe,Ce){"use strict";Fe.a=`@export ecgl.lines3D.vertex uniform mat4 worldViewProjection : WORLDVIEWPROJECTION; @@ -613,7 +613,7 @@ void main() @import ecgl.common.wireframe.fragmentMain } -@end`},function(He,Fe,Ce){var _e=Ce(12),Pe=Ce(75),ge=Ce(78),Ee=ge.parsePercent,be=Ce(149),we=_e.each,pe=["left","right","top","bottom","width","height"],ye=[["width","left","right"],["height","top","bottom"]];function Se(xe,De,Re,Ne,Ue){var Ge=0,Xe=0;Ne==null&&(Ne=1/0),Ue==null&&(Ue=1/0);var Qe=0;De.eachChild(function(nt,$e){var qe=nt.position,ut=nt.getBoundingRect(),at=De.childAt($e+1),ft=at&&at.getBoundingRect(),rt,ct;if(xe==="horizontal"){var yt=ut.width+(ft?-ft.x+ut.x:0);rt=Ge+yt,rt>Ne||nt.newline?(Ge=0,rt=yt,Xe+=Qe+Re,Qe=ut.height):Qe=Math.max(Qe,ut.height)}else{var 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Ne=De.width,Ue=De.height,Ge=Ee(xe.left,Ne),Xe=Ee(xe.top,Ue),Qe=Ee(xe.right,Ne),nt=Ee(xe.bottom,Ue),$e=Ee(xe.width,Ne),qe=Ee(xe.height,Ue),ut=Re[2]+Re[0],at=Re[1]+Re[3],ft=xe.aspect;switch(isNaN($e)&&($e=Ne-Qe-at-Ge),isNaN(qe)&&(qe=Ue-nt-ut-Xe),ft!=null&&(isNaN($e)&&isNaN(qe)&&(ft>Ne/Ue?$e=Ne*.8:qe=Ue*.8),isNaN($e)&&($e=ft*qe),isNaN(qe)&&(qe=$e/ft)),isNaN(Ge)&&(Ge=Ne-Qe-$e-at),isNaN(Xe)&&(Xe=Ue-nt-qe-ut),xe.left||xe.right){case"center":Ge=Ne/2-$e/2-Re[3];break;case"right":Ge=Ne-$e-at;break}switch(xe.top||xe.bottom){case"middle":case"center":Xe=Ue/2-qe/2-Re[0];break;case"bottom":Xe=Ue-qe-ut;break}Ge=Ge||0,Xe=Xe||0,isNaN($e)&&($e=Ne-at-Ge-(Qe||0)),isNaN(qe)&&(qe=Ue-ut-Xe-(nt||0));var rt=new Pe(Ge+Re[3],Xe+Re[0],$e,qe);return rt.margin=Re,rt}function de(xe,De,Re,Ne,Ue){var Ge=!Ue||!Ue.hv||Ue.hv[0],Xe=!Ue||!Ue.hv||Ue.hv[1],Qe=Ue&&Ue.boundingMode||"all";if(!(!Ge&&!Xe)){var nt;if(Qe==="raw")nt=xe.type==="group"?new Pe(0,0,+De.width||0,+De.height||0):xe.getBoundingRect();else 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Ee=this.outputs[ge];Ee.keepLastFrame?(this._prevOutputTextures[ge]&&this._compositor.releaseTexture(this._prevOutputTextures[ge]),this._prevOutputTextures[ge]=this._outputTextures[ge]):this._compositor.releaseTexture(this._outputTextures[ge])}}});Fe.a=Pe},function(He,Fe,Ce){"use strict";function _e(Pe,ge){for(var Ee=0,be=1/ge,we=Pe;we>0;)Ee=Ee+be*(we%ge),we=Math.floor(we/ge),be=be/ge;return Ee}Fe.a=_e},function(He,Fe,Ce){"use strict";var _e=Ce(0),Pe=Ce.n(_e);Fe.a=function(ge,Ee,be){be=be||ge.getSource();var we=Ee||Pe.a.getCoordinateSystemDimensions(ge.get("coordinateSystem"))||["x","y","z"],pe=Pe.a.helper.createDimensions(be,{dimensionsDefine:be.dimensionsDefine||ge.get("dimensions"),encodeDefine:be.encodeDefine||ge.get("encode"),coordDimensions:we.map(function(Se){var ce=ge.getReferringComponents(Se+"Axis3D")[0];return{type:ce&&ce.get("type")==="category"?"ordinal":"float",name:Se,stackable:Se==="z"}})});ge.get("coordinateSystem")==="cartesian3D"&&pe.forEach(function(Se){if(we.indexOf(Se.coordDim)>=0){var ce=ge.getReferringComponents(Se.coordDim+"Axis3D")[0];ce&&ce.get("type")==="category"&&(Se.ordinalMeta=ce.getOrdinalMeta())}});var ye=new Pe.a.List(pe,ge);return ye.initData(be),ye}},function(He,Fe){function Ce(_e,Pe,ge){return{seriesType:_e,performRawSeries:!0,reset:function(Ee,be,we){var pe=Ee.getData(),ye=Ee.get("symbol")||Pe,Se=Ee.get("symbolSize");if(pe.setVisual({legendSymbol:ge||ye,symbol:ye,symbolSize:Se}),be.isSeriesFiltered(Ee))return;var ce=typeof Se=="function";function te(ne,le){if(typeof Se=="function"){var oe=Ee.getRawValue(le),de=Ee.getDataParams(le);ne.setItemVisual(le,"symbolSize",Se(oe,de))}if(ne.hasItemOption){var he=ne.getItemModel(le),ie=he.getShallow("symbol",!0),ue=he.getShallow("symbolSize",!0);ie!=null&&ne.setItemVisual(le,"symbol",ie),ue!=null&&ne.setItemVisual(le,"symbolSize",ue)}}return{dataEach:pe.hasItemOption||ce?te:null}}}}He.exports=Ce},function(He,Fe,Ce){"use strict";var _e=Ce(8),Pe=Ce(92),ge=Ce(11),Ee=Ce(18),be=Ce(15),we=Ce(9),pe=Ce(17),ye=Ce(23),Se=Ce(96),ce=Ce(7),te=Ce(98),ne=Ce(63),le=Ce(1),oe=Ce.n(le);ce.a.import(te.a),ce.a.import(ne.a);var de=oe.a.mat4,he=oe.a.vec3,ie=de.create,ue={};function ve(Ne){return Ne.material}function xe(){}var De=_e.a.extend(function(){return{canvas:null,_width:100,_height:100,devicePixelRatio:window.devicePixelRatio||1,clearColor:[0,0,0,0],clearBit:17664,alpha:!0,depth:!0,stencil:!1,antialias:!0,premultipliedAlpha:!0,preserveDrawingBuffer:!1,throwError:!0,gl:null,viewport:{},__currentFrameBuffer:null,_viewportStack:[],_clearStack:[],_sceneRendering:null}},function(){this.canvas||(this.canvas=document.createElement("canvas"));var 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Ne.width/Ne.height},setDevicePixelRatio:function(Ne){this.devicePixelRatio=Ne,this.resize(this._width,this._height)},getDevicePixelRatio:function(){return this.devicePixelRatio},getGLExtension:function(Ne){return this._glinfo.getExtension(Ne)},getGLParameter:function(Ne){return this._glinfo.getParameter(Ne)},setViewport:function(Ne,Ue,Ge,Xe,Qe){if(typeof Ne=="object"){var nt=Ne;Ne=nt.x,Ue=nt.y,Ge=nt.width,Xe=nt.height,Qe=nt.devicePixelRatio}Qe=Qe||this.devicePixelRatio,this.gl.viewport(Ne*Qe,Ue*Qe,Ge*Qe,Xe*Qe),this.viewport={x:Ne,y:Ue,width:Ge,height:Xe,devicePixelRatio:Qe}},saveViewport:function(){this._viewportStack.push(this.viewport)},restoreViewport:function(){this._viewportStack.length>0&&this.setViewport(this._viewportStack.pop())},saveClear:function(){this._clearStack.push({clearBit:this.clearBit,clearColor:this.clearColor})},restoreClear:function(){if(this._clearStack.length>0){var 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ge.rotateX(this.array,this.array,pe),this._dirty=!0,this},rotateY:function(pe){return ge.rotateY(this.array,this.array,pe),this._dirty=!0,this},rotateZ:function(pe){return ge.rotateZ(this.array,this.array,pe),this._dirty=!0,this},rotationTo:function(pe,ye){return ge.rotationTo(this.array,pe.array,ye.array),this._dirty=!0,this},setAxes:function(pe,ye,Se){return ge.setAxes(this.array,pe.array,ye.array,Se.array),this._dirty=!0,this},setAxisAngle:function(pe,ye){return ge.setAxisAngle(this.array,pe.array,ye),this._dirty=!0,this},slerp:function(pe,ye,Se){return ge.slerp(this.array,pe.array,ye.array,Se),this._dirty=!0,this},sqrLen:function(){return ge.sqrLen(this.array)},squaredLength:function(){return ge.squaredLength(this.array)},fromEuler:function(pe,ye){return Ee.fromEuler(this,pe,ye)},toString:function(){return"["+Array.prototype.join.call(this.array,",")+"]"},toArray:function(){return Array.prototype.slice.call(this.array)}};var be=Object.defineProperty;if(be){var we=Ee.prototype;be(we,"x",{get:function(){return this.array[0]},set:function(pe){this.array[0]=pe,this._dirty=!0}}),be(we,"y",{get:function(){return this.array[1]},set:function(pe){this.array[1]=pe,this._dirty=!0}}),be(we,"z",{get:function(){return this.array[2]},set:function(pe){this.array[2]=pe,this._dirty=!0}}),be(we,"w",{get:function(){return this.array[3]},set:function(pe){this.array[3]=pe,this._dirty=!0}})}Ee.add=function(pe,ye,Se){return ge.add(pe.array,ye.array,Se.array),pe._dirty=!0,pe},Ee.set=function(pe,ye,Se,ce,te){ge.set(pe.array,ye,Se,ce,te),pe._dirty=!0},Ee.copy=function(pe,ye){return ge.copy(pe.array,ye.array),pe._dirty=!0,pe},Ee.calculateW=function(pe,ye){return ge.calculateW(pe.array,ye.array),pe._dirty=!0,pe},Ee.conjugate=function(pe,ye){return ge.conjugate(pe.array,ye.array),pe._dirty=!0,pe},Ee.identity=function(pe){return ge.identity(pe.array),pe._dirty=!0,pe},Ee.invert=function(pe,ye){return ge.invert(pe.array,ye.array),pe._dirty=!0,pe},Ee.dot=function(pe,ye){return ge.dot(pe.array,ye.array)},Ee.len=function(pe){return ge.length(pe.array)},Ee.lerp=function(pe,ye,Se,ce){return ge.lerp(pe.array,ye.array,Se.array,ce),pe._dirty=!0,pe},Ee.slerp=function(pe,ye,Se,ce){return ge.slerp(pe.array,ye.array,Se.array,ce),pe._dirty=!0,pe},Ee.mul=function(pe,ye,Se){return ge.multiply(pe.array,ye.array,Se.array),pe._dirty=!0,pe},Ee.multiply=Ee.mul,Ee.rotateX=function(pe,ye,Se){return ge.rotateX(pe.array,ye.array,Se),pe._dirty=!0,pe},Ee.rotateY=function(pe,ye,Se){return ge.rotateY(pe.array,ye.array,Se),pe._dirty=!0,pe},Ee.rotateZ=function(pe,ye,Se){return ge.rotateZ(pe.array,ye.array,Se),pe._dirty=!0,pe},Ee.setAxisAngle=function(pe,ye,Se){return ge.setAxisAngle(pe.array,ye.array,Se),pe._dirty=!0,pe},Ee.normalize=function(pe,ye){return ge.normalize(pe.array,ye.array),pe._dirty=!0,pe},Ee.sqrLen=function(pe){return ge.sqrLen(pe.array)},Ee.squaredLength=Ee.sqrLen,Ee.fromMat3=function(pe,ye){return ge.fromMat3(pe.array,ye.array),pe._dirty=!0,pe},Ee.setAxes=function(pe,ye,Se,ce){return ge.setAxes(pe.array,ye.array,Se.array,ce.array),pe._dirty=!0,pe},Ee.rotationTo=function(pe,ye,Se){return ge.rotationTo(pe.array,ye.array,Se.array),pe._dirty=!0,pe},Ee.fromEuler=function(pe,ye,ie){pe._dirty=!0,ye=ye.array;var ce=pe.array,te=Math.cos(ye[0]/2),ne=Math.cos(ye[1]/2),le=Math.cos(ye[2]/2),oe=Math.sin(ye[0]/2),de=Math.sin(ye[1]/2),he=Math.sin(ye[2]/2),ie=(ie||"XYZ").toUpperCase();switch(ie){case"XYZ":ce[0]=oe*ne*le+te*de*he,ce[1]=te*de*le-oe*ne*he,ce[2]=te*ne*he+oe*de*le,ce[3]=te*ne*le-oe*de*he;break;case"YXZ":ce[0]=oe*ne*le+te*de*he,ce[1]=te*de*le-oe*ne*he,ce[2]=te*ne*he-oe*de*le,ce[3]=te*ne*le+oe*de*he;break;case"ZXY":ce[0]=oe*ne*le-te*de*he,ce[1]=te*de*le+oe*ne*he,ce[2]=te*ne*he+oe*de*le,ce[3]=te*ne*le-oe*de*he;break;case"ZYX":ce[0]=oe*ne*le-te*de*he,ce[1]=te*de*le+oe*ne*he,ce[2]=te*ne*he-oe*de*le,ce[3]=te*ne*le+oe*de*he;break;case"YZX":ce[0]=oe*ne*le+te*de*he,ce[1]=te*de*le+oe*ne*he,ce[2]=te*ne*he-oe*de*le,ce[3]=te*ne*le-oe*de*he;break;case"XZY":ce[0]=oe*ne*le-te*de*he,ce[1]=te*de*le-oe*ne*he,ce[2]=te*ne*he+oe*de*le,ce[3]=te*ne*le+oe*de*he;break}},Fe.a=Ee},function(He,Fe,Ce){"use strict";var _e=Ce(28),Pe=Ce(9),ge=Ce(52),Ee=Ce(49),be=Ce(1),we=Ce.n(be),pe=we.a.vec3,ye=we.a.vec4,Se=_e.a.extend(function(){return{projectionMatrix:new Pe.a,invProjectionMatrix:new Pe.a,viewMatrix:new Pe.a,frustum:new ge.a}},function(){this.update(!0)},{update:function(ce){_e.a.prototype.update.call(this,ce),Pe.a.invert(this.viewMatrix,this.worldTransform),this.updateProjectionMatrix(),Pe.a.invert(this.invProjectionMatrix,this.projectionMatrix),this.frustum.setFromProjection(this.projectionMatrix)},setViewMatrix:function(ce){Pe.a.copy(this.viewMatrix,ce),Pe.a.invert(this.worldTransform,ce),this.decomposeWorldTransform()},decomposeProjectionMatrix:function(){},setProjectionMatrix:function(ce){Pe.a.copy(this.projectionMatrix,ce),Pe.a.invert(this.invProjectionMatrix,ce),this.decomposeProjectionMatrix()},updateProjectionMatrix:function(){},castRay:function(){var ce=ye.create();return function(te,ne){var le=ne!==void 0?ne:new Ee.a,oe=te.array[0],de=te.array[1];return ye.set(ce,oe,de,-1,1),ye.transformMat4(ce,ce,this.invProjectionMatrix.array),ye.transformMat4(ce,ce,this.worldTransform.array),pe.scale(le.origin.array,ce,1/ce[3]),ye.set(ce,oe,de,1,1),ye.transformMat4(ce,ce,this.invProjectionMatrix.array),ye.transformMat4(ce,ce,this.worldTransform.array),pe.scale(ce,ce,1/ce[3]),pe.sub(le.direction.array,ce,le.origin.array),pe.normalize(le.direction.array,le.direction.array),le.direction._dirty=!0,le.origin._dirty=!0,le}}()});Fe.a=Se},function(He,Fe,Ce){"use strict";var _e=Ce(4),Pe=Ce(15),ge=Ce(67),Ee=Ce(1),be=Ce.n(Ee),we=be.a.vec3,pe=we.set,ye=we.copy,Se=we.transformMat4,ce=Math.min,te=Math.max,ne=function(){this.planes=[];for(var le=0;le<6;le++)this.planes.push(new ge.a);this.boundingBox=new Pe.a,this.vertices=[];for(var le=0;le<8;le++)this.vertices[le]=we.fromValues(0,0,0)};ne.prototype={setFromProjection:function(le){var oe=this.planes,de=le.array,he=de[0],ie=de[1],ue=de[2],ve=de[3],xe=de[4],De=de[5],Re=de[6],Ne=de[7],Ue=de[8],Ge=de[9],Xe=de[10],Qe=de[11],nt=de[12],$e=de[13],qe=de[14],ut=de[15];pe(oe[0].normal.array,ve-he,Ne-xe,Qe-Ue),oe[0].distance=-(ut-nt),oe[0].normalize(),pe(oe[1].normal.array,ve+he,Ne+xe,Qe+Ue),oe[1].distance=-(ut+nt),oe[1].normalize(),pe(oe[2].normal.array,ve+ie,Ne+De,Qe+Ge),oe[2].distance=-(ut+$e),oe[2].normalize(),pe(oe[3].normal.array,ve-ie,Ne-De,Qe-Ge),oe[3].distance=-(ut-$e),oe[3].normalize(),pe(oe[4].normal.array,ve-ue,Ne-Re,Qe-Xe),oe[4].distance=-(ut-qe),oe[4].normalize(),pe(oe[5].normal.array,ve+ue,Ne+Re,Qe+Xe),oe[5].distance=-(ut+qe),oe[5].normalize();var at=this.boundingBox;if(ut===0){var ft=De/he,rt=-qe/(Xe-1),ct=-qe/(Xe+1),yt=-ct/De,mt=-rt/De;at.min.set(-yt*ft,-yt,ct),at.max.set(yt*ft,yt,rt);var ht=this.vertices;pe(ht[0],-yt*ft,-yt,ct),pe(ht[1],-yt*ft,yt,ct),pe(ht[2],yt*ft,-yt,ct),pe(ht[3],yt*ft,yt,ct),pe(ht[4],-mt*ft,-mt,rt),pe(ht[5],-mt*ft,mt,rt),pe(ht[6],mt*ft,-mt,rt),pe(ht[7],mt*ft,mt,rt)}else{var gt=(-1-nt)/he,Wt=(1-nt)/he,Zt=(1-$e)/De,en=(-1-$e)/De,dn=(-1-qe)/Xe,Lt=(1-qe)/Xe;at.min.set(Math.min(gt,Wt),Math.min(en,Zt),Math.min(Lt,dn)),at.max.set(Math.max(Wt,gt),Math.max(Zt,en),Math.max(dn,Lt));var on=at.min.array,an=at.max.array,ht=this.vertices;pe(ht[0],on[0],on[1],on[2]),pe(ht[1],on[0],an[1],on[2]),pe(ht[2],an[0],on[1],on[2]),pe(ht[3],an[0],an[1],on[2]),pe(ht[4],on[0],on[1],an[2]),pe(ht[5],on[0],an[1],an[2]),pe(ht[6],an[0],on[1],an[2]),pe(ht[7],an[0],an[1],an[2])}},getTransformedBoundingBox:function(){var le=we.create();return function(oe,de){var he=this.vertices,ie=de.array,ue=oe.min,ve=oe.max,xe=ue.array,De=ve.array,Re=he[0];Se(le,Re,ie),ye(xe,le),ye(De,le);for(var Ne=1;Ne<8;Ne++)Re=he[Ne],Se(le,Re,ie),xe[0]=ce(le[0],xe[0]),xe[1]=ce(le[1],xe[1]),xe[2]=ce(le[2],xe[2]),De[0]=te(le[0],De[0]),De[1]=te(le[1],De[1]),De[2]=te(le[2],De[2]);return ue._dirty=!0,ve._dirty=!0,oe}}()},Fe.a=ne},function(He,Fe){var Ce=function(){this.head=null,this.tail=null,this._len=0},_e=Ce.prototype;_e.insert=function(we){var pe=new Pe(we);return this.insertEntry(pe),pe},_e.insertEntry=function(we){this.head?(this.tail.next=we,we.prev=this.tail,we.next=null,this.tail=we):this.head=this.tail=we,this._len++},_e.remove=function(we){var pe=we.prev,ye=we.next;pe?pe.next=ye:this.head=ye,ye?ye.prev=pe:this.tail=pe,we.next=we.prev=null,this._len--},_e.len=function(){return this._len},_e.clear=function(){this.head=this.tail=null,this._len=0};var Pe=function(we){this.value=we,this.next,this.prev},ge=function(we){this._list=new Ce,this._map={},this._maxSize=we||10,this._lastRemovedEntry=null},Ee=ge.prototype;Ee.put=function(we,pe){var ye=this._list,Se=this._map,ce=null;if(Se[we]==null){var te=ye.len(),ne=this._lastRemovedEntry;if(te>=this._maxSize&&te>0){var le=ye.head;ye.remove(le),delete Se[le.key],ce=le.value,this._lastRemovedEntry=le}ne?ne.value=pe:ne=new Pe(pe),ne.key=we,ye.insertEntry(ne),Se[we]=ne}return ce},Ee.get=function(we){var pe=this._map[we],ye=this._list;if(pe!=null)return pe!==ye.tail&&(ye.remove(pe),ye.insertEntry(pe)),pe.value},Ee.clear=function(){this._list.clear(),this._map={}};var be=ge;He.exports=be},function(He,Fe,Ce){"use strict";var _e=Ce(5),Pe=Ce(25),ge=Ce(102),Ee=Ce(55),be=Ce(56),we=Ce(29),pe=Ce(104),ye=Ce(105),Se={loadTexture:function(ce,te,ne,le){var oe;if(typeof te=="function"?(ne=te,le=ne,te={}):te=te||{},typeof ce=="string"){if(ce.match(/.hdr$/)||te.fileType==="hdr")return oe=new _e.a({width:0,height:0,sRGB:!1}),Se._fetchTexture(ce,function(de){ye.a.parseRGBE(de,oe,te.exposure),oe.dirty(),ne&&ne(oe)},le),oe;ce.match(/.dds$/)||te.fileType==="dds"?(oe=new _e.a({width:0,height:0}),Se._fetchTexture(ce,function(de){pe.a.parse(de,oe),oe.dirty(),ne&&ne(oe)},le)):(oe=new _e.a,oe.load(ce),oe.success(ne),oe.error(le))}else if(typeof ce=="object"&&typeof ce.px!="undefined"){var oe=new Pe.a;oe.load(ce),oe.success(ne),oe.error(le)}return oe},loadPanorama:function(ce,te,ne,le,oe,de){var he=this;typeof le=="function"?(oe=le,de=oe,le={}):le=le||{},Se.loadTexture(te,le,function(ie){ie.flipY=le.flipY||!1,he.panoramaToCubeMap(ce,ie,ne,le),ie.dispose(ce),oe&&oe(ne)},de)},panoramaToCubeMap:function(ce,te,ne,le){var oe=new Ee.a,de=new be.a({scene:new we.a});return de.material.set("diffuseMap",te),le=le||{},le.encodeRGBM&&de.material.define("fragment","RGBM_ENCODE"),ne.sRGB=te.sRGB,oe.texture=ne,oe.render(ce,de.scene),oe.texture=null,oe.dispose(ce),ne},heightToNormal:function(ce,te){var ne=document.createElement("canvas"),le=ne.width=ce.width,oe=ne.height=ce.height,de=ne.getContext("2d");de.drawImage(ce,0,0,le,oe),te=te||!1;for(var he=de.getImageData(0,0,le,oe),ie=de.createImageData(le,oe),ue=0;ue20)return console.warn("Given image is not a height map"),ce}var Ne,Ue,Ge,Xe;ue%(le*4)===0?(Ne=he.data[ue],Ge=he.data[ue+4]):ue%(le*4)===(le-1)*4?(Ne=he.data[ue-4],Ge=he.data[ue]):(Ne=he.data[ue-4],Ge=he.data[ue+4]),uele*(oe-1)*4?(Ue=he.data[ue-le*4],Xe=he.data[ue]):(Ue=he.data[ue-le*4],Xe=he.data[ue+le*4]),ie.data[ue]=Ne-Ge+127,ie.data[ue+1]=Ue-Xe+127,ie.data[ue+2]=255,ie.data[ue+3]=255}return de.putImageData(ie,0,0),ne},isHeightImage:function(ce,te,ne){if(!ce||!ce.width||!ce.height)return!1;var le=document.createElement("canvas"),oe=le.getContext("2d"),de=te||32;ne=ne||20,le.width=le.height=de,oe.drawImage(ce,0,0,de,de);for(var he=oe.getImageData(0,0,de,de),ie=0;iene)return!1}return!0},_fetchTexture:function(ce,te,ne){ge.a.get({url:ce,responseType:"arraybuffer",onload:te,onerror:ne})},createChessboard:function(ce,te,ne,le){ce=ce||512,te=te||64,ne=ne||"black",le=le||"white";var oe=Math.ceil(ce/te),de=document.createElement("canvas");de.width=ce,de.height=ce;var he=de.getContext("2d");he.fillStyle=le,he.fillRect(0,0,ce,ce),he.fillStyle=ne;for(var ie=0;ie0?this.material.define("fragment","LOD"):this.material.undefine("fragment","LOD"),pe.renderPass([this],ye)}});Fe.a=we},function(He,Fe,Ce){"use strict";var _e=Ce(2),Pe=Ce(143),ge=Ce(144);_e.a.Shader.import(ge.a),Fe.a=_e.a.Mesh.extend(function(){var Ee=new Pe.a({dynamic:!0}),be=new _e.a.Material({shader:_e.a.createShader("ecgl.labels"),transparent:!0,depthMask:!1});return{geometry:Ee,material:be,culling:!1,castShadow:!1,ignorePicking:!0}})},function(He,Fe,Ce){"use strict";var _e=Ce(0),Pe=Ce.n(_e),ge=Ce(2),Ee=Ce(186),be=Ce(22),we=Ce(3),pe=Ce(1),ye=Ce.n(pe),Se=Ce(60),ce=Ce(61),te=Ce(40),ne=ye.a.vec3;ge.a.Shader.import(te.a);function le(oe){this.rootNode=new ge.a.Node,this._triangulationResults={},this._shadersMap=ge.a.COMMON_SHADERS.reduce(function(he,ie){return he[ie]=ge.a.createShader("ecgl."+ie),he},{}),this._linesShader=ge.a.createShader("ecgl.meshLines3D");var de={};ge.a.COMMON_SHADERS.forEach(function(he){de[he]=new ge.a.Material({shader:ge.a.createShader("ecgl."+he)})}),this._groundMaterials=de,this._groundMesh=new ge.a.Mesh({geometry:new ge.a.PlaneGeometry({dynamic:!0}),castShadow:!1,renderNormal:!0,$ignorePicking:!0}),this._groundMesh.rotation.rotateX(-Math.PI/2),this._labelsBuilder=new ce.a(512,512,oe),this._labelsBuilder.getMesh().renderOrder=100,this._labelsBuilder.getMesh().material.depthTest=!1,this.rootNode.add(this._labelsBuilder.getMesh()),this._initMeshes(),this._api=oe}le.prototype={constructor:le,extrudeY:!0,update:function(oe,de,he,ie,ue){var ve=oe.getData();ie==null&&(ie=0),ue==null&&(ue=ve.count()),this._startIndex=ie,this._endIndex=ue-1,this._triangulation(oe,ie,ue);var xe=this._getShader(oe.get("shading"));this._prepareMesh(oe,xe,he,ie,ue),this.rootNode.updateWorldTransform(),this._updateRegionMesh(oe,he,ie,ue);var De=oe.coordinateSystem;De.type==="geo3D"&&this._updateGroundPlane(oe,De,he);var Re=this;this._labelsBuilder.updateData(ve,ie,ue),this._labelsBuilder.getLabelPosition=function(Ne,Ue,Ge){var Xe=ve.getName(Ne),Qe,nt=Ge;if(De.type==="geo3D"){var $e=De.getRegion(Xe);return Qe=$e.center,De.dataToPoint([Qe[0],Qe[1],nt])}else var qe=Re._triangulationResults[Ne-Re._startIndex],Qe=Re.extrudeY?[(qe.max[0]+qe.min[0])/2,qe.max[1]+nt,(qe.max[2]+qe.min[2])/2]:[(qe.max[0]+qe.min[0])/2,(qe.max[1]+qe.min[1])/2,qe.max[2]+nt]},this._data=ve,this._labelsBuilder.updateLabels(),this._updateDebugWireframe(oe),this._lastHoverDataIndex=0},_initMeshes:function(){this.rootNode.removeAll();var oe=this;function de(){var ue=new ge.a.Mesh({name:"Polygon",material:new ge.a.Material({shader:oe._shadersMap.lambert}),culling:!1,geometry:new ge.a.Geometry({sortTriangles:!0,dynamic:!0}),ignorePicking:!0,renderNormal:!0});return Pe.a.util.extend(ue.geometry,Se.a),ue}var he=de(),ie=new ge.a.Mesh({material:new ge.a.Material({shader:this._linesShader}),castShadow:!1,ignorePicking:!0,$ignorePicking:!0,geometry:new be.a({useNativeLine:!1})});this.rootNode.add(he),this.rootNode.add(ie),he.material.define("both","VERTEX_COLOR"),he.material.define("fragment","DOUBLE_SIDED"),this._polygonMesh=he,this._linesMesh=ie,this.rootNode.add(this._groundMesh)},_getShader:function(oe){var de=this._shadersMap[oe];return de||(console.warn("Unkown shading "+oe),de=this._shadersMap.lambert),de.__shading=oe,de},_prepareMesh:function(oe,de,he,ie,ue){for(var ve=0,xe=0,De=0,Re=0,Ne=ie;Ne65535?new Uint32Array(xe*3):new Uint16Array(xe*3),Xe.material.shader!==de&&Xe.material.attachShader(de,!0),ge.a.setMaterialFromModel(de.__shading,Xe.material,oe,he),De>0&&(this._linesMesh.geometry.resetOffset(),this._linesMesh.geometry.setVertexCount(De),this._linesMesh.geometry.setTriangleCount(Re)),this._dataIndexOfVertex=new Uint32Array(ve),this._vertexRangeOfDataIndex=new Uint32Array((ue-ie)*2)},_updateRegionMesh:function(oe,de,he,ie){for(var ue=oe.getData(),ve=0,xe=0,De=!1,yt=this._polygonMesh,Re=this._linesMesh,Ne=he;Ne0;ct&&(rt*=de.getDevicePixelRatio(),this._updateLinesGeometry(Re.geometry,oe,Ne,ut,rt,oe.coordinateSystem.transform)),Re.invisible=!ct,Re.material.set({color:$e})}var yt=this._polygonMesh;yt.material.transparent=De,yt.material.depthMask=!De,yt.geometry.updateBoundingBox(),yt.material.get("normalMap")&&yt.geometry.generateTangents(),yt.seriesIndex=oe.seriesIndex,yt.on("mousemove",this._onmousemove,this),yt.on("mouseout",this._onmouseout,this)},_updateDebugWireframe:function(oe){var de=oe.getModel("debug.wireframe");if(de.get("show")){var he=ge.a.parseColor(de.get("lineStyle.color")||"rgba(0,0,0,0.5)"),ie=we.a.firstNotNull(de.get("lineStyle.width"),1),ue=this._polygonMesh;ue.geometry.generateBarycentric(),ue.material.define("both","WIREFRAME_TRIANGLE"),ue.material.set("wireframeLineColor",he),ue.material.set("wireframeLineWidth",ie)}},_onmousemove:function(oe){var de=this._dataIndexOfVertex[oe.triangle[0]];de==null&&(de=-1),de!==this._lastHoverDataIndex&&(this.downplay(this._lastHoverDataIndex),this.highlight(de)),this._lastHoverDataIndex=de,this._polygonMesh.dataIndex=de},_onmouseover:function(oe){if(oe.target){var de=oe.target.eventData?this._data.indexOfName(oe.target.eventData.name):oe.target.dataIndex;de!=null&&(this.highlight(de),this._labelsBuilder.updateLabels([de]))}},_onmouseout:function(oe){oe.target&&(this.downplay(this._lastHoverDataIndex),this._lastHoverDataIndex=-1,this._polygonMesh.dataIndex=-1)},_updateGroundPlane:function(oe,de,he){var ie=oe.getModel("groundPlane",oe);if(this._groundMesh.invisible=!ie.get("show",!0),!this._groundMesh.invisible){var ue=oe.get("shading"),ve=this._groundMaterials[ue];ve||(console.warn("Unkown shading "+ue),ve=this._groundMaterials.lambert),ge.a.setMaterialFromModel(ue,ve,ie,he),ve.get("normalMap")&&this._groundMesh.geometry.generateTangents(),this._groundMesh.material=ve,this._groundMesh.material.set("color",ge.a.parseColor(ie.get("color"))),this._groundMesh.scale.set(de.size[0],de.size[2],1)}},_triangulation:function(oe,de,he){this._triangulationResults=[];for(var ie=[1/0,1/0,1/0],ue=[-1/0,-1/0,-1/0],ve=oe.coordinateSystem,xe=de;xe1?ie:0,on[vt][qe]=Zt.points[Xt+2],Re.set(ue+vt,on[vt]),De?(sn[0]=(Zt.points[Xt]*ut[0]-at[0])/rt,sn[1]=(Zt.points[Xt+2]*ut[qe]-at[qe])/rt):(sn[0]=(At?tn:tn+Yt)/rt,sn[1]=(on[vt][$e]*ut[$e]-at[$e])/rt),Ue.set(ue+vt,sn)}ne.sub(an,on[1],on[0]),ne.sub(Mn,on[3],on[0]),ne.cross(Bn,an,Mn),ne.normalize(Bn,Bn);for(var vt=0;vt<4;vt++)Ne.set(ue+vt,Bn),Qe&&Ge.set(ue+vt,xe);for(var vt=0;vt<6;vt++)nt[ve*3+vt]=Lt[vt]+ue;ue+=4,ve+=2,tn+=Yt}}return de.dirty(),{vertexOffset:ue,triangleOffset:ve}},_getRegionLinesInfo:function(oe,de,he){var ie=0,ue=0,ve=de.getRegionModel(oe),xe=ve.getModel("itemStyle"),De=xe.get("borderWidth");if(De>0){var Re=de.getRegionPolygonCoords(oe);Re.forEach(function(Ne){var Ue=Ne.exterior,Ge=Ne.interiors;ie+=he.getPolylineVertexCount(Ue),ue+=he.getPolylineTriangleCount(Ue);for(var Xe=0;Xethis._endIndex)){de-=this._startIndex;for(var ie=this._vertexRangeOfDataIndex[de*2];ie=2e4},doSortTriangles:function(ye,Se){var ce=this.indices;if(Se===0){var te=this.attributes.position,ye=ye.array;(!this._triangleZList||this._triangleZList.length!==this.triangleCount)&&(this._triangleZList=new Float32Array(this.triangleCount),this._sortedTriangleIndices=new Uint32Array(this.triangleCount),this._indicesTmp=new ce.constructor(ce.length),this._triangleZListTmp=new Float32Array(this.triangleCount));for(var ne=0,le,oe=0;oe0,te={},ne=0;ne2?(Qe=this._updateSymbolSprite(le,Ge,Ne,Ue),xe.enableTexture("sprite")):xe.disableTexture("sprite"),Re.position.init(ie-he);var nt=[];if(Xe){xe.undefine("VERTEX_SIZE"),xe.undefine("VERTEX_COLOR");var $e=ve.getVisual("color"),qe=ve.getVisual("opacity");ge.a.parseColor($e,nt),nt[3]*=qe,xe.set({color:nt,u_Size:Ne.maxSize*this._sizeScale})}else xe.set({color:[1,1,1,1]}),xe.define("VERTEX_SIZE"),xe.define("VERTEX_COLOR"),Re.size.init(ie-he),Re.color.init(ie-he),this._originalOpacity=new Float32Array(ie-he);for(var ut=ve.getLayout("points"),at=Re.position.value,ft=!1,rt=0;rt1?(ie[0]=de.maxSize,ie[1]=de.maxSize/de.aspect):(ie[1]=de.maxSize,ie[0]=de.maxSize*de.aspect),ie[0]=ie[0]||1,ie[1]=ie[1]||1,(this._symbolType!==de.type||!te(this._symbolSize,ie)||this._lineWidth!==oe.lineWidth)&&(Ee.a.createSymbolSprite(de.type,ie,{fill:"#fff",lineWidth:oe.lineWidth,stroke:"transparent",shadowColor:"transparent",minMargin:Math.min(ie[0]/2,10)},this._spriteImageCanvas),Ee.a.createSDFFromCanvas(this._spriteImageCanvas,Math.min(this._spriteImageCanvas.width,32),Se,this._mesh.material.get("sprite").image),this._symbolType=de.type,this._symbolSize=ie,this._lineWidth=oe.lineWidth),this._spriteImageCanvas.width/de.maxSize*he},_updateMaterial:function(le,oe){var de=le.get("blendMode")==="lighter"?ge.a.additiveBlend:null,he=this._mesh.material;he.blend=de,he.set("lineWidth",oe.lineWidth/Se);var ie=ge.a.parseColor(oe.stroke);he.set("strokeColor",ie),he.transparent=!0,he.depthMask=!1,he.depthTest=!this.is2D,he.sortVertices=!this.is2D},_updateLabelBuilder:function(le,ve,de){var he=le.getData(),ie=this._mesh.geometry,ue=ie.attributes.position.value,ve=this._startDataIndex,xe=this._mesh.sizeScale;this._labelsBuilder.updateData(he,ve,de),this._labelsBuilder.getLabelPosition=function(De,Re,Ne){var Ue=(De-ve)*3;return[ue[Ue],ue[Ue+1],ue[Ue+2]]},this._labelsBuilder.getLabelDistance=function(De,Re,Ne){var Ue=ie.attributes.size.get(De-ve)/xe;return Ue/2+Ne},this._labelsBuilder.updateLabels()},_updateAnimation:function(le){ge.a.updateVertexAnimation([["prevPosition","position"],["prevSize","size"]],this._prevMesh,this._mesh,le)},_updateHandler:function(le,oe,de){var he=le.getData(),ie=this._mesh,ue=this,ve=-1,xe=le.coordinateSystem&&le.coordinateSystem.type==="cartesian3D",De;xe&&(De=le.coordinateSystem.model),ie.seriesIndex=le.seriesIndex,ie.off("mousemove"),ie.off("mouseout"),ie.on("mousemove",function(Re){var Ne=Re.vertexIndex+ue._startDataIndex;Ne!==ve&&(this.highlightOnMouseover&&(this.downplay(he,ve),this.highlight(he,Ne),this._labelsBuilder.updateLabels([Ne])),xe&&de.dispatchAction({type:"grid3DShowAxisPointer",value:[he.get(le.coordDimToDataDim("x")[0],Ne),he.get(le.coordDimToDataDim("y")[0],Ne),he.get(le.coordDimToDataDim("z")[0],Ne)],grid3DIndex:De.componentIndex})),ie.dataIndex=Ne,ve=Ne},this),ie.on("mouseout",function(Re){var Ne=Re.vertexIndex+ue._startDataIndex;this.highlightOnMouseover&&(this.downplay(he,Ne),this._labelsBuilder.updateLabels()),ve=-1,ie.dataIndex=-1,xe&&de.dispatchAction({type:"grid3DHideAxisPointer",grid3DIndex:De.componentIndex})},this)},updateLayout:function(le,oe,de){var he=le.getData();if(this._mesh){var ie=this._mesh.geometry.attributes.position.value,ue=he.getLayout("points");if(this.is2D)for(var ve=0;vethis._endDataIndex||oethis._endDataIndex||oe.05&&(ve=!0),Ue!==xe&&(De=!0),xe=Ue,ue=Ge}return ve&&console.warn("Different symbol width / height ratio will be ignored."),De&&console.warn("Different symbol type will be ignored."),{maxSize:Re,type:xe,aspect:ue}}},Fe.a=ne},function(He,Fe,Ce){"use strict";Fe.a=`@export clay.prez.vertex +@end`},function(He,Fe,Ce){var _e=Ce(12),Pe=Ce(75),ge=Ce(78),Ee=ge.parsePercent,be=Ce(149),we=_e.each,pe=["left","right","top","bottom","width","height"],ye=[["width","left","right"],["height","top","bottom"]];function Se(xe,De,Re,Ne,ze){var Ge=0,Xe=0;Ne==null&&(Ne=1/0),ze==null&&(ze=1/0);var Qe=0;De.eachChild(function(nt,$e){var qe=nt.position,lt=nt.getBoundingRect(),it=De.childAt($e+1),ft=it&&it.getBoundingRect(),rt,ct;if(xe==="horizontal"){var yt=lt.width+(ft?-ft.x+lt.x:0);rt=Ge+yt,rt>Ne||nt.newline?(Ge=0,rt=yt,Xe+=Qe+Re,Qe=lt.height):Qe=Math.max(Qe,lt.height)}else{var mt=lt.height+(ft?-ft.y+lt.y:0);ct=Xe+mt,ct>ze||nt.newline?(Ge+=Qe+Re,Xe=0,ct=mt,Qe=lt.width):Qe=Math.max(Qe,lt.width)}nt.newline||(qe[0]=Ge,qe[1]=Xe,xe==="horizontal"?Ge=rt+Re:Xe=ct+Re)})}var ce=Se,te=_e.curry(Se,"vertical"),ne=_e.curry(Se,"horizontal");function le(xe,De,Re){var Ne=De.width,ze=De.height,Ge=Ee(xe.x,Ne),Xe=Ee(xe.y,ze),Qe=Ee(xe.x2,Ne),nt=Ee(xe.y2,ze);return(isNaN(Ge)||isNaN(parseFloat(xe.x)))&&(Ge=0),(isNaN(Qe)||isNaN(parseFloat(xe.x2)))&&(Qe=Ne),(isNaN(Xe)||isNaN(parseFloat(xe.y)))&&(Xe=0),(isNaN(nt)||isNaN(parseFloat(xe.y2)))&&(nt=ze),Re=be.normalizeCssArray(Re||0),{width:Math.max(Qe-Ge-Re[1]-Re[3],0),height:Math.max(nt-Xe-Re[0]-Re[2],0)}}function oe(xe,De,Re){Re=be.normalizeCssArray(Re||0);var Ne=De.width,ze=De.height,Ge=Ee(xe.left,Ne),Xe=Ee(xe.top,ze),Qe=Ee(xe.right,Ne),nt=Ee(xe.bottom,ze),$e=Ee(xe.width,Ne),qe=Ee(xe.height,ze),lt=Re[2]+Re[0],it=Re[1]+Re[3],ft=xe.aspect;switch(isNaN($e)&&($e=Ne-Qe-it-Ge),isNaN(qe)&&(qe=ze-nt-lt-Xe),ft!=null&&(isNaN($e)&&isNaN(qe)&&(ft>Ne/ze?$e=Ne*.8:qe=ze*.8),isNaN($e)&&($e=ft*qe),isNaN(qe)&&(qe=$e/ft)),isNaN(Ge)&&(Ge=Ne-Qe-$e-it),isNaN(Xe)&&(Xe=ze-nt-qe-lt),xe.left||xe.right){case"center":Ge=Ne/2-$e/2-Re[3];break;case"right":Ge=Ne-$e-it;break}switch(xe.top||xe.bottom){case"middle":case"center":Xe=ze/2-qe/2-Re[0];break;case"bottom":Xe=ze-qe-lt;break}Ge=Ge||0,Xe=Xe||0,isNaN($e)&&($e=Ne-it-Ge-(Qe||0)),isNaN(qe)&&(qe=ze-lt-Xe-(nt||0));var rt=new Pe(Ge+Re[3],Xe+Re[0],$e,qe);return rt.margin=Re,rt}function de(xe,De,Re,Ne,ze){var Ge=!ze||!ze.hv||ze.hv[0],Xe=!ze||!ze.hv||ze.hv[1],Qe=ze&&ze.boundingMode||"all";if(!(!Ge&&!Xe)){var nt;if(Qe==="raw")nt=xe.type==="group"?new Pe(0,0,+De.width||0,+De.height||0):xe.getBoundingRect();else if(nt=xe.getBoundingRect(),xe.needLocalTransform()){var $e=xe.getLocalTransform();nt=nt.clone(),nt.applyTransform($e)}De=oe(_e.defaults({width:nt.width,height:nt.height},De),Re,Ne);var qe=xe.position,lt=Ge?De.x-nt.x:0,it=Xe?De.y-nt.y:0;xe.attr("position",Qe==="raw"?[lt,it]:[qe[0]+lt,qe[1]+it])}}function he(xe,De){return xe[ye[De][0]]!=null||xe[ye[De][1]]!=null&&xe[ye[De][2]]!=null}function ie(xe,De,Re){!_e.isObject(Re)&&(Re={});var Ne=Re.ignoreSize;!_e.isArray(Ne)&&(Ne=[Ne,Ne]);var ze=Xe(ye[0],0),Ge=Xe(ye[1],1);$e(ye[0],xe,ze),$e(ye[1],xe,Ge);function Xe(qe,lt){var it={},ft=0,rt={},ct=0,yt=2;if(we(qe,function(gt){rt[gt]=xe[gt]}),we(qe,function(gt){Qe(De,gt)&&(it[gt]=rt[gt]=De[gt]),nt(it,gt)&&ft++,nt(rt,gt)&&ct++}),Ne[lt])return nt(De,qe[1])?rt[qe[2]]=null:nt(De,qe[2])&&(rt[qe[1]]=null),rt;if(ct===yt||!ft)return rt;if(ft>=yt)return it;for(var mt=0;mt0){var Ee=this.outputs[ge];Ee.keepLastFrame?(this._prevOutputTextures[ge]&&this._compositor.releaseTexture(this._prevOutputTextures[ge]),this._prevOutputTextures[ge]=this._outputTextures[ge]):this._compositor.releaseTexture(this._outputTextures[ge])}}});Fe.a=Pe},function(He,Fe,Ce){"use strict";function _e(Pe,ge){for(var Ee=0,be=1/ge,we=Pe;we>0;)Ee=Ee+be*(we%ge),we=Math.floor(we/ge),be=be/ge;return Ee}Fe.a=_e},function(He,Fe,Ce){"use strict";var _e=Ce(0),Pe=Ce.n(_e);Fe.a=function(ge,Ee,be){be=be||ge.getSource();var we=Ee||Pe.a.getCoordinateSystemDimensions(ge.get("coordinateSystem"))||["x","y","z"],pe=Pe.a.helper.createDimensions(be,{dimensionsDefine:be.dimensionsDefine||ge.get("dimensions"),encodeDefine:be.encodeDefine||ge.get("encode"),coordDimensions:we.map(function(Se){var ce=ge.getReferringComponents(Se+"Axis3D")[0];return{type:ce&&ce.get("type")==="category"?"ordinal":"float",name:Se,stackable:Se==="z"}})});ge.get("coordinateSystem")==="cartesian3D"&&pe.forEach(function(Se){if(we.indexOf(Se.coordDim)>=0){var ce=ge.getReferringComponents(Se.coordDim+"Axis3D")[0];ce&&ce.get("type")==="category"&&(Se.ordinalMeta=ce.getOrdinalMeta())}});var ye=new Pe.a.List(pe,ge);return ye.initData(be),ye}},function(He,Fe){function Ce(_e,Pe,ge){return{seriesType:_e,performRawSeries:!0,reset:function(Ee,be,we){var pe=Ee.getData(),ye=Ee.get("symbol")||Pe,Se=Ee.get("symbolSize");if(pe.setVisual({legendSymbol:ge||ye,symbol:ye,symbolSize:Se}),be.isSeriesFiltered(Ee))return;var ce=typeof Se=="function";function te(ne,le){if(typeof Se=="function"){var oe=Ee.getRawValue(le),de=Ee.getDataParams(le);ne.setItemVisual(le,"symbolSize",Se(oe,de))}if(ne.hasItemOption){var he=ne.getItemModel(le),ie=he.getShallow("symbol",!0),ue=he.getShallow("symbolSize",!0);ie!=null&&ne.setItemVisual(le,"symbol",ie),ue!=null&&ne.setItemVisual(le,"symbolSize",ue)}}return{dataEach:pe.hasItemOption||ce?te:null}}}}He.exports=Ce},function(He,Fe,Ce){"use strict";var _e=Ce(8),Pe=Ce(92),ge=Ce(11),Ee=Ce(18),be=Ce(15),we=Ce(9),pe=Ce(17),ye=Ce(23),Se=Ce(96),ce=Ce(7),te=Ce(98),ne=Ce(63),le=Ce(1),oe=Ce.n(le);ce.a.import(te.a),ce.a.import(ne.a);var de=oe.a.mat4,he=oe.a.vec3,ie=de.create,ue={};function ve(Ne){return Ne.material}function xe(){}var De=_e.a.extend(function(){return{canvas:null,_width:100,_height:100,devicePixelRatio:window.devicePixelRatio||1,clearColor:[0,0,0,0],clearBit:17664,alpha:!0,depth:!0,stencil:!1,antialias:!0,premultipliedAlpha:!0,preserveDrawingBuffer:!1,throwError:!0,gl:null,viewport:{},__currentFrameBuffer:null,_viewportStack:[],_clearStack:[],_sceneRendering:null}},function(){this.canvas||(this.canvas=document.createElement("canvas"));var Ne=this.canvas;try{var ze={alpha:this.alpha,depth:this.depth,stencil:this.stencil,antialias:this.antialias,premultipliedAlpha:this.premultipliedAlpha,preserveDrawingBuffer:this.preserveDrawingBuffer};if(this.gl=Ne.getContext("webgl",ze)||Ne.getContext("experimental-webgl",ze),!this.gl)throw new Error;this._glinfo=new Pe.a(this.gl),this.gl.targetRenderer&&console.error("Already created a renderer"),this.gl.targetRenderer=this,this.resize()}catch(Ge){throw"Error creating WebGL Context "+Ge}this._programMgr=new Se.a(this)},{resize:function(Ne,ze){var Ge=this.canvas,Xe=this.devicePixelRatio;Ne!=null?(Ge.style.width=Ne+"px",Ge.style.height=ze+"px",Ge.width=Ne*Xe,Ge.height=ze*Xe,this._width=Ne,this._height=ze):(this._width=Ge.width/Xe,this._height=Ge.height/Xe),this.setViewport(0,0,this._width,this._height)},getWidth:function(){return this._width},getHeight:function(){return this._height},getViewportAspect:function(){var Ne=this.viewport;return Ne.width/Ne.height},setDevicePixelRatio:function(Ne){this.devicePixelRatio=Ne,this.resize(this._width,this._height)},getDevicePixelRatio:function(){return this.devicePixelRatio},getGLExtension:function(Ne){return this._glinfo.getExtension(Ne)},getGLParameter:function(Ne){return this._glinfo.getParameter(Ne)},setViewport:function(Ne,ze,Ge,Xe,Qe){if(typeof Ne=="object"){var nt=Ne;Ne=nt.x,ze=nt.y,Ge=nt.width,Xe=nt.height,Qe=nt.devicePixelRatio}Qe=Qe||this.devicePixelRatio,this.gl.viewport(Ne*Qe,ze*Qe,Ge*Qe,Xe*Qe),this.viewport={x:Ne,y:ze,width:Ge,height:Xe,devicePixelRatio:Qe}},saveViewport:function(){this._viewportStack.push(this.viewport)},restoreViewport:function(){this._viewportStack.length>0&&this.setViewport(this._viewportStack.pop())},saveClear:function(){this._clearStack.push({clearBit:this.clearBit,clearColor:this.clearColor})},restoreClear:function(){if(this._clearStack.length>0){var Ne=this._clearStack.pop();this.clearColor=Ne.clearColor,this.clearBit=Ne.clearBit}},bindSceneRendering:function(Ne){this._sceneRendering=Ne},render:function(Ne,ze,Ge,Xe){var Qe=this.gl,nt=this.clearColor;if(this.clearBit){Qe.colorMask(!0,!0,!0,!0),Qe.depthMask(!0);var $e=this.viewport,qe=!1,lt=$e.devicePixelRatio;($e.width!==this._width||$e.height!==this._height||lt&<!==this.devicePixelRatio||$e.x||$e.y)&&(qe=!0,Qe.enable(Qe.SCISSOR_TEST),Qe.scissor($e.x*lt,$e.y*lt,$e.width*lt,$e.height*lt)),Qe.clearColor(nt[0],nt[1],nt[2],nt[3]),Qe.clear(this.clearBit),qe&&Qe.disable(Qe.SCISSOR_TEST)}if(Ge||Ne.update(!1),ze=ze||Ne.getMainCamera(),!ze){console.error("Can't find camera in the scene.");return}ze.getScene()||ze.update(!0),this._sceneRendering=Ne,Ne.viewBoundingBoxLastFrame.min.set(1/0,1/0,1/0),Ne.viewBoundingBoxLastFrame.max.set(-1/0,-1/0,-1/0);var it=this.cullRenderList(Ne.opaqueList,Ne,ze),ft=this.cullRenderList(Ne.transparentList,Ne,ze),rt=Ne.material;Ne.trigger("beforerender",this,Ne,ze),Xe?(this.renderPreZ(it,Ne,ze),Qe.depthFunc(Qe.LEQUAL)):Qe.depthFunc(Qe.LESS);for(var ct=ie(),yt=he.create(),mt=0;mt0){var qe=Ne[Qe-1],lt=qe.joints?qe.joints.length:0,it=nt.joints.length?nt.joints.length:0;if(it===lt&&nt.material===qe.material&&nt.lightGroup===qe.lightGroup){nt.__program=qe.__program;continue}}var ft=this._programMgr.getProgram(nt,$e,ze);this.validateProgram(ft),nt.__program=ft}},cullRenderList:function(Ne,ze,Ge){for(var Xe=[],Qe=0;Qe0&&Ne.min.array[2]<0&&(Ne.max.array[2]=-1e-20),Ne.applyProjection(ze);var lt=Ne.min.array,it=Ne.max.array;if(it[0]<-1||lt[0]>1||it[1]<-1||lt[1]>1||it[2]<-1||lt[2]>1)return!0}return!1}}(),disposeScene:function(Ne){this.disposeNode(Ne,!0,!0),Ne.dispose()},disposeNode:function(Ne,ze,Ge){Ne.getParent()&&Ne.getParent().remove(Ne),Ne.traverse(function(Xe){Xe.geometry&&ze&&Xe.geometry.dispose(this),Xe.dispose&&Xe.dispose(this)},this)},disposeGeometry:function(Ne){Ne.dispose(this)},disposeTexture:function(Ne){Ne.dispose(this)},disposeFrameBuffer:function(Ne){Ne.dispose(this)},dispose:function(){},screenToNDC:function(Ne,ze,Ge){Ge||(Ge=new ye.a),ze=this._height-ze;var Xe=this.viewport,Qe=Ge.array;return Qe[0]=(Ne-Xe.x)/Xe.width,Qe[0]=Qe[0]*2-1,Qe[1]=(ze-Xe.y)/Xe.height,Qe[1]=Qe[1]*2-1,Ge}});De.opaqueSortCompare=De.prototype.opaqueSortCompare=function(Ne,ze){return Ne.renderOrder===ze.renderOrder?Ne.__program===ze.__program?Ne.material===ze.material?Ne.geometry.__uid__-ze.geometry.__uid__:Ne.material.__uid__-ze.material.__uid__:Ne.__program&&ze.__program?Ne.__program.__uid__-ze.__program.__uid__:0:Ne.renderOrder-ze.renderOrder},De.transparentSortCompare=De.prototype.transparentSortCompare=function(Ne,ze){return Ne.renderOrder===ze.renderOrder?Ne.__depth===ze.__depth?Ne.__program===ze.__program?Ne.material===ze.material?Ne.geometry.__uid__-ze.geometry.__uid__:Ne.material.__uid__-ze.material.__uid__:Ne.__program&&ze.__program?Ne.__program.__uid__-ze.__program.__uid__:0:Ne.__depth-ze.__depth:Ne.renderOrder-ze.renderOrder};var Re={IDENTITY:ie(),WORLD:ie(),VIEW:ie(),PROJECTION:ie(),WORLDVIEW:ie(),VIEWPROJECTION:ie(),WORLDVIEWPROJECTION:ie(),WORLDINVERSE:ie(),VIEWINVERSE:ie(),PROJECTIONINVERSE:ie(),WORLDVIEWINVERSE:ie(),VIEWPROJECTIONINVERSE:ie(),WORLDVIEWPROJECTIONINVERSE:ie(),WORLDTRANSPOSE:ie(),VIEWTRANSPOSE:ie(),PROJECTIONTRANSPOSE:ie(),WORLDVIEWTRANSPOSE:ie(),VIEWPROJECTIONTRANSPOSE:ie(),WORLDVIEWPROJECTIONTRANSPOSE:ie(),WORLDINVERSETRANSPOSE:ie(),VIEWINVERSETRANSPOSE:ie(),PROJECTIONINVERSETRANSPOSE:ie(),WORLDVIEWINVERSETRANSPOSE:ie(),VIEWPROJECTIONINVERSETRANSPOSE:ie(),WORLDVIEWPROJECTIONINVERSETRANSPOSE:ie()};De.COLOR_BUFFER_BIT=ge.a.COLOR_BUFFER_BIT,De.DEPTH_BUFFER_BIT=ge.a.DEPTH_BUFFER_BIT,De.STENCIL_BUFFER_BIT=ge.a.STENCIL_BUFFER_BIT,Fe.a=De},function(He,Fe,Ce){"use strict";function _e(ge,Ee){this.action=ge,this.context=Ee}var Pe={trigger:function(ge){if(this.hasOwnProperty("__handlers__")&&this.__handlers__.hasOwnProperty(ge)){var Ee=this.__handlers__[ge],be=Ee.length,we=-1,pe=arguments;switch(pe.length){case 1:for(;++wehe)){var ie=Math.sqrt(he-de),ue=le-ie,ve=le+ie;return ce||(ce=new _e.a),ue<0?ve<0?null:(Ee.scaleAndAdd(ce.array,te,ne,ve),ce):(Ee.scaleAndAdd(ce.array,te,ne,ue),ce)}}}(),intersectBoundingBox:function(pe,ye){var Se=this.direction.array,ce=this.origin.array,te=pe.min.array,ne=pe.max.array,le=1/Se[0],oe=1/Se[1],de=1/Se[2],he,ie,ue,ve,xe,De;if(le>=0?(he=(te[0]-ce[0])*le,ie=(ne[0]-ce[0])*le):(ie=(te[0]-ce[0])*le,he=(ne[0]-ce[0])*le),oe>=0?(ue=(te[1]-ce[1])*oe,ve=(ne[1]-ce[1])*oe):(ve=(te[1]-ce[1])*oe,ue=(ne[1]-ce[1])*oe),he>ve||ue>ie||((ue>he||he!==he)&&(he=ue),(ve=0?(xe=(te[2]-ce[2])*de,De=(ne[2]-ce[2])*de):(De=(te[2]-ce[2])*de,xe=(ne[2]-ce[2])*de),he>De||xe>ie)||((xe>he||he!==he)&&(he=xe),(De=0?he:ie;return ye||(ye=new _e.a),Ee.scaleAndAdd(ye.array,ce,Se,Re),ye},intersectTriangle:function(){var pe=Ee.create(),ye=Ee.create(),Se=Ee.create(),ce=Ee.create();return function(te,ne,le,oe,de,he){var 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we=Ee.prototype;be(we,"x",{get:function(){return this.array[0]},set:function(pe){this.array[0]=pe,this._dirty=!0}}),be(we,"y",{get:function(){return this.array[1]},set:function(pe){this.array[1]=pe,this._dirty=!0}}),be(we,"z",{get:function(){return this.array[2]},set:function(pe){this.array[2]=pe,this._dirty=!0}}),be(we,"w",{get:function(){return this.array[3]},set:function(pe){this.array[3]=pe,this._dirty=!0}})}Ee.add=function(pe,ye,Se){return ge.add(pe.array,ye.array,Se.array),pe._dirty=!0,pe},Ee.set=function(pe,ye,Se,ce,te){ge.set(pe.array,ye,Se,ce,te),pe._dirty=!0},Ee.copy=function(pe,ye){return ge.copy(pe.array,ye.array),pe._dirty=!0,pe},Ee.calculateW=function(pe,ye){return ge.calculateW(pe.array,ye.array),pe._dirty=!0,pe},Ee.conjugate=function(pe,ye){return ge.conjugate(pe.array,ye.array),pe._dirty=!0,pe},Ee.identity=function(pe){return ge.identity(pe.array),pe._dirty=!0,pe},Ee.invert=function(pe,ye){return 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ce=pe.array,te=Math.cos(ye[0]/2),ne=Math.cos(ye[1]/2),le=Math.cos(ye[2]/2),oe=Math.sin(ye[0]/2),de=Math.sin(ye[1]/2),he=Math.sin(ye[2]/2),ie=(ie||"XYZ").toUpperCase();switch(ie){case"XYZ":ce[0]=oe*ne*le+te*de*he,ce[1]=te*de*le-oe*ne*he,ce[2]=te*ne*he+oe*de*le,ce[3]=te*ne*le-oe*de*he;break;case"YXZ":ce[0]=oe*ne*le+te*de*he,ce[1]=te*de*le-oe*ne*he,ce[2]=te*ne*he-oe*de*le,ce[3]=te*ne*le+oe*de*he;break;case"ZXY":ce[0]=oe*ne*le-te*de*he,ce[1]=te*de*le+oe*ne*he,ce[2]=te*ne*he+oe*de*le,ce[3]=te*ne*le-oe*de*he;break;case"ZYX":ce[0]=oe*ne*le-te*de*he,ce[1]=te*de*le+oe*ne*he,ce[2]=te*ne*he-oe*de*le,ce[3]=te*ne*le+oe*de*he;break;case"YZX":ce[0]=oe*ne*le+te*de*he,ce[1]=te*de*le+oe*ne*he,ce[2]=te*ne*he-oe*de*le,ce[3]=te*ne*le-oe*de*he;break;case"XZY":ce[0]=oe*ne*le-te*de*he,ce[1]=te*de*le-oe*ne*he,ce[2]=te*ne*he+oe*de*le,ce[3]=te*ne*le+oe*de*he;break}},Fe.a=Ee},function(He,Fe,Ce){"use strict";var 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he=de.getImageData(0,0,le,oe),ie=de.createImageData(le,oe),ue=0;ue20)return console.warn("Given image is not a height map"),ce}var Ne,ze,Ge,Xe;ue%(le*4)===0?(Ne=he.data[ue],Ge=he.data[ue+4]):ue%(le*4)===(le-1)*4?(Ne=he.data[ue-4],Ge=he.data[ue]):(Ne=he.data[ue-4],Ge=he.data[ue+4]),uele*(oe-1)*4?(ze=he.data[ue-le*4],Xe=he.data[ue]):(ze=he.data[ue-le*4],Xe=he.data[ue+le*4]),ie.data[ue]=Ne-Ge+127,ie.data[ue+1]=ze-Xe+127,ie.data[ue+2]=255,ie.data[ue+3]=255}return de.putImageData(ie,0,0),ne},isHeightImage:function(ce,te,ne){if(!ce||!ce.width||!ce.height)return!1;var le=document.createElement("canvas"),oe=le.getContext("2d"),de=te||32;ne=ne||20,le.width=le.height=de,oe.drawImage(ce,0,0,de,de);for(var he=oe.getImageData(0,0,de,de),ie=0;iene)return!1}return!0},_fetchTexture:function(ce,te,ne){ge.a.get({url:ce,responseType:"arraybuffer",onload:te,onerror:ne})},createChessboard:function(ce,te,ne,le){ce=ce||512,te=te||64,ne=ne||"black",le=le||"white";var oe=Math.ceil(ce/te),de=document.createElement("canvas");de.width=ce,de.height=ce;var he=de.getContext("2d");he.fillStyle=le,he.fillRect(0,0,ce,ce),he.fillStyle=ne;for(var ie=0;ie0?this.material.define("fragment","LOD"):this.material.undefine("fragment","LOD"),pe.renderPass([this],ye)}});Fe.a=we},function(He,Fe,Ce){"use strict";var _e=Ce(2),Pe=Ce(143),ge=Ce(144);_e.a.Shader.import(ge.a),Fe.a=_e.a.Mesh.extend(function(){var Ee=new Pe.a({dynamic:!0}),be=new _e.a.Material({shader:_e.a.createShader("ecgl.labels"),transparent:!0,depthMask:!1});return{geometry:Ee,material:be,culling:!1,castShadow:!1,ignorePicking:!0}})},function(He,Fe,Ce){"use strict";var _e=Ce(0),Pe=Ce.n(_e),ge=Ce(2),Ee=Ce(186),be=Ce(22),we=Ce(3),pe=Ce(1),ye=Ce.n(pe),Se=Ce(60),ce=Ce(61),te=Ce(40),ne=ye.a.vec3;ge.a.Shader.import(te.a);function le(oe){this.rootNode=new ge.a.Node,this._triangulationResults={},this._shadersMap=ge.a.COMMON_SHADERS.reduce(function(he,ie){return he[ie]=ge.a.createShader("ecgl."+ie),he},{}),this._linesShader=ge.a.createShader("ecgl.meshLines3D");var de={};ge.a.COMMON_SHADERS.forEach(function(he){de[he]=new ge.a.Material({shader:ge.a.createShader("ecgl."+he)})}),this._groundMaterials=de,this._groundMesh=new ge.a.Mesh({geometry:new ge.a.PlaneGeometry({dynamic:!0}),castShadow:!1,renderNormal:!0,$ignorePicking:!0}),this._groundMesh.rotation.rotateX(-Math.PI/2),this._labelsBuilder=new ce.a(512,512,oe),this._labelsBuilder.getMesh().renderOrder=100,this._labelsBuilder.getMesh().material.depthTest=!1,this.rootNode.add(this._labelsBuilder.getMesh()),this._initMeshes(),this._api=oe}le.prototype={constructor:le,extrudeY:!0,update:function(oe,de,he,ie,ue){var ve=oe.getData();ie==null&&(ie=0),ue==null&&(ue=ve.count()),this._startIndex=ie,this._endIndex=ue-1,this._triangulation(oe,ie,ue);var xe=this._getShader(oe.get("shading"));this._prepareMesh(oe,xe,he,ie,ue),this.rootNode.updateWorldTransform(),this._updateRegionMesh(oe,he,ie,ue);var De=oe.coordinateSystem;De.type==="geo3D"&&this._updateGroundPlane(oe,De,he);var Re=this;this._labelsBuilder.updateData(ve,ie,ue),this._labelsBuilder.getLabelPosition=function(Ne,ze,Ge){var Xe=ve.getName(Ne),Qe,nt=Ge;if(De.type==="geo3D"){var $e=De.getRegion(Xe);return Qe=$e.center,De.dataToPoint([Qe[0],Qe[1],nt])}else var qe=Re._triangulationResults[Ne-Re._startIndex],Qe=Re.extrudeY?[(qe.max[0]+qe.min[0])/2,qe.max[1]+nt,(qe.max[2]+qe.min[2])/2]:[(qe.max[0]+qe.min[0])/2,(qe.max[1]+qe.min[1])/2,qe.max[2]+nt]},this._data=ve,this._labelsBuilder.updateLabels(),this._updateDebugWireframe(oe),this._lastHoverDataIndex=0},_initMeshes:function(){this.rootNode.removeAll();var oe=this;function de(){var ue=new ge.a.Mesh({name:"Polygon",material:new ge.a.Material({shader:oe._shadersMap.lambert}),culling:!1,geometry:new ge.a.Geometry({sortTriangles:!0,dynamic:!0}),ignorePicking:!0,renderNormal:!0});return Pe.a.util.extend(ue.geometry,Se.a),ue}var he=de(),ie=new ge.a.Mesh({material:new ge.a.Material({shader:this._linesShader}),castShadow:!1,ignorePicking:!0,$ignorePicking:!0,geometry:new be.a({useNativeLine:!1})});this.rootNode.add(he),this.rootNode.add(ie),he.material.define("both","VERTEX_COLOR"),he.material.define("fragment","DOUBLE_SIDED"),this._polygonMesh=he,this._linesMesh=ie,this.rootNode.add(this._groundMesh)},_getShader:function(oe){var de=this._shadersMap[oe];return de||(console.warn("Unkown shading "+oe),de=this._shadersMap.lambert),de.__shading=oe,de},_prepareMesh:function(oe,de,he,ie,ue){for(var ve=0,xe=0,De=0,Re=0,Ne=ie;Ne65535?new Uint32Array(xe*3):new Uint16Array(xe*3),Xe.material.shader!==de&&Xe.material.attachShader(de,!0),ge.a.setMaterialFromModel(de.__shading,Xe.material,oe,he),De>0&&(this._linesMesh.geometry.resetOffset(),this._linesMesh.geometry.setVertexCount(De),this._linesMesh.geometry.setTriangleCount(Re)),this._dataIndexOfVertex=new Uint32Array(ve),this._vertexRangeOfDataIndex=new Uint32Array((ue-ie)*2)},_updateRegionMesh:function(oe,de,he,ie){for(var ue=oe.getData(),ve=0,xe=0,De=!1,yt=this._polygonMesh,Re=this._linesMesh,Ne=he;Ne0;ct&&(rt*=de.getDevicePixelRatio(),this._updateLinesGeometry(Re.geometry,oe,Ne,lt,rt,oe.coordinateSystem.transform)),Re.invisible=!ct,Re.material.set({color:$e})}var yt=this._polygonMesh;yt.material.transparent=De,yt.material.depthMask=!De,yt.geometry.updateBoundingBox(),yt.material.get("normalMap")&&yt.geometry.generateTangents(),yt.seriesIndex=oe.seriesIndex,yt.on("mousemove",this._onmousemove,this),yt.on("mouseout",this._onmouseout,this)},_updateDebugWireframe:function(oe){var de=oe.getModel("debug.wireframe");if(de.get("show")){var he=ge.a.parseColor(de.get("lineStyle.color")||"rgba(0,0,0,0.5)"),ie=we.a.firstNotNull(de.get("lineStyle.width"),1),ue=this._polygonMesh;ue.geometry.generateBarycentric(),ue.material.define("both","WIREFRAME_TRIANGLE"),ue.material.set("wireframeLineColor",he),ue.material.set("wireframeLineWidth",ie)}},_onmousemove:function(oe){var de=this._dataIndexOfVertex[oe.triangle[0]];de==null&&(de=-1),de!==this._lastHoverDataIndex&&(this.downplay(this._lastHoverDataIndex),this.highlight(de)),this._lastHoverDataIndex=de,this._polygonMesh.dataIndex=de},_onmouseover:function(oe){if(oe.target){var de=oe.target.eventData?this._data.indexOfName(oe.target.eventData.name):oe.target.dataIndex;de!=null&&(this.highlight(de),this._labelsBuilder.updateLabels([de]))}},_onmouseout:function(oe){oe.target&&(this.downplay(this._lastHoverDataIndex),this._lastHoverDataIndex=-1,this._polygonMesh.dataIndex=-1)},_updateGroundPlane:function(oe,de,he){var ie=oe.getModel("groundPlane",oe);if(this._groundMesh.invisible=!ie.get("show",!0),!this._groundMesh.invisible){var ue=oe.get("shading"),ve=this._groundMaterials[ue];ve||(console.warn("Unkown shading "+ue),ve=this._groundMaterials.lambert),ge.a.setMaterialFromModel(ue,ve,ie,he),ve.get("normalMap")&&this._groundMesh.geometry.generateTangents(),this._groundMesh.material=ve,this._groundMesh.material.set("color",ge.a.parseColor(ie.get("color"))),this._groundMesh.scale.set(de.size[0],de.size[2],1)}},_triangulation:function(oe,de,he){this._triangulationResults=[];for(var ie=[1/0,1/0,1/0],ue=[-1/0,-1/0,-1/0],ve=oe.coordinateSystem,xe=de;xe1?ie:0,an[vt][qe]=Zt.points[Xt+2],Re.set(ue+vt,an[vt]),De?(sn[0]=(Zt.points[Xt]*lt[0]-it[0])/rt,sn[1]=(Zt.points[Xt+2]*lt[qe]-it[qe])/rt):(sn[0]=(At?tn:tn+Yt)/rt,sn[1]=(an[vt][$e]*lt[$e]-it[$e])/rt),ze.set(ue+vt,sn)}ne.sub(rn,an[1],an[0]),ne.sub(Mn,an[3],an[0]),ne.cross(Bn,rn,Mn),ne.normalize(Bn,Bn);for(var vt=0;vt<4;vt++)Ne.set(ue+vt,Bn),Qe&&Ge.set(ue+vt,xe);for(var vt=0;vt<6;vt++)nt[ve*3+vt]=Lt[vt]+ue;ue+=4,ve+=2,tn+=Yt}}return de.dirty(),{vertexOffset:ue,triangleOffset:ve}},_getRegionLinesInfo:function(oe,de,he){var ie=0,ue=0,ve=de.getRegionModel(oe),xe=ve.getModel("itemStyle"),De=xe.get("borderWidth");if(De>0){var Re=de.getRegionPolygonCoords(oe);Re.forEach(function(Ne){var ze=Ne.exterior,Ge=Ne.interiors;ie+=he.getPolylineVertexCount(ze),ue+=he.getPolylineTriangleCount(ze);for(var Xe=0;Xethis._endIndex)){de-=this._startIndex;for(var ie=this._vertexRangeOfDataIndex[de*2];ie=2e4},doSortTriangles:function(ye,Se){var ce=this.indices;if(Se===0){var te=this.attributes.position,ye=ye.array;(!this._triangleZList||this._triangleZList.length!==this.triangleCount)&&(this._triangleZList=new Float32Array(this.triangleCount),this._sortedTriangleIndices=new Uint32Array(this.triangleCount),this._indicesTmp=new ce.constructor(ce.length),this._triangleZListTmp=new Float32Array(this.triangleCount));for(var ne=0,le,oe=0;oe0,te={},ne=0;ne2?(Qe=this._updateSymbolSprite(le,Ge,Ne,ze),xe.enableTexture("sprite")):xe.disableTexture("sprite"),Re.position.init(ie-he);var nt=[];if(Xe){xe.undefine("VERTEX_SIZE"),xe.undefine("VERTEX_COLOR");var $e=ve.getVisual("color"),qe=ve.getVisual("opacity");ge.a.parseColor($e,nt),nt[3]*=qe,xe.set({color:nt,u_Size:Ne.maxSize*this._sizeScale})}else xe.set({color:[1,1,1,1]}),xe.define("VERTEX_SIZE"),xe.define("VERTEX_COLOR"),Re.size.init(ie-he),Re.color.init(ie-he),this._originalOpacity=new Float32Array(ie-he);for(var lt=ve.getLayout("points"),it=Re.position.value,ft=!1,rt=0;rt1?(ie[0]=de.maxSize,ie[1]=de.maxSize/de.aspect):(ie[1]=de.maxSize,ie[0]=de.maxSize*de.aspect),ie[0]=ie[0]||1,ie[1]=ie[1]||1,(this._symbolType!==de.type||!te(this._symbolSize,ie)||this._lineWidth!==oe.lineWidth)&&(Ee.a.createSymbolSprite(de.type,ie,{fill:"#fff",lineWidth:oe.lineWidth,stroke:"transparent",shadowColor:"transparent",minMargin:Math.min(ie[0]/2,10)},this._spriteImageCanvas),Ee.a.createSDFFromCanvas(this._spriteImageCanvas,Math.min(this._spriteImageCanvas.width,32),Se,this._mesh.material.get("sprite").image),this._symbolType=de.type,this._symbolSize=ie,this._lineWidth=oe.lineWidth),this._spriteImageCanvas.width/de.maxSize*he},_updateMaterial:function(le,oe){var de=le.get("blendMode")==="lighter"?ge.a.additiveBlend:null,he=this._mesh.material;he.blend=de,he.set("lineWidth",oe.lineWidth/Se);var ie=ge.a.parseColor(oe.stroke);he.set("strokeColor",ie),he.transparent=!0,he.depthMask=!1,he.depthTest=!this.is2D,he.sortVertices=!this.is2D},_updateLabelBuilder:function(le,ve,de){var he=le.getData(),ie=this._mesh.geometry,ue=ie.attributes.position.value,ve=this._startDataIndex,xe=this._mesh.sizeScale;this._labelsBuilder.updateData(he,ve,de),this._labelsBuilder.getLabelPosition=function(De,Re,Ne){var ze=(De-ve)*3;return[ue[ze],ue[ze+1],ue[ze+2]]},this._labelsBuilder.getLabelDistance=function(De,Re,Ne){var ze=ie.attributes.size.get(De-ve)/xe;return ze/2+Ne},this._labelsBuilder.updateLabels()},_updateAnimation:function(le){ge.a.updateVertexAnimation([["prevPosition","position"],["prevSize","size"]],this._prevMesh,this._mesh,le)},_updateHandler:function(le,oe,de){var he=le.getData(),ie=this._mesh,ue=this,ve=-1,xe=le.coordinateSystem&&le.coordinateSystem.type==="cartesian3D",De;xe&&(De=le.coordinateSystem.model),ie.seriesIndex=le.seriesIndex,ie.off("mousemove"),ie.off("mouseout"),ie.on("mousemove",function(Re){var Ne=Re.vertexIndex+ue._startDataIndex;Ne!==ve&&(this.highlightOnMouseover&&(this.downplay(he,ve),this.highlight(he,Ne),this._labelsBuilder.updateLabels([Ne])),xe&&de.dispatchAction({type:"grid3DShowAxisPointer",value:[he.get(le.coordDimToDataDim("x")[0],Ne),he.get(le.coordDimToDataDim("y")[0],Ne),he.get(le.coordDimToDataDim("z")[0],Ne)],grid3DIndex:De.componentIndex})),ie.dataIndex=Ne,ve=Ne},this),ie.on("mouseout",function(Re){var Ne=Re.vertexIndex+ue._startDataIndex;this.highlightOnMouseover&&(this.downplay(he,Ne),this._labelsBuilder.updateLabels()),ve=-1,ie.dataIndex=-1,xe&&de.dispatchAction({type:"grid3DHideAxisPointer",grid3DIndex:De.componentIndex})},this)},updateLayout:function(le,oe,de){var he=le.getData();if(this._mesh){var ie=this._mesh.geometry.attributes.position.value,ue=he.getLayout("points");if(this.is2D)for(var ve=0;vethis._endDataIndex||oethis._endDataIndex||oe.05&&(ve=!0),ze!==xe&&(De=!0),xe=ze,ue=Ge}return ve&&console.warn("Different symbol width / height ratio will be ignored."),De&&console.warn("Different symbol type will be ignored."),{maxSize:Re,type:xe,aspect:ue}}},Fe.a=ne},function(He,Fe,Ce){"use strict";Fe.a=`@export clay.prez.vertex uniform mat4 worldViewProjection : WORLDVIEWPROJECTION; attribute vec3 position : POSITION; @import clay.chunk.skinning_header @@ -632,19 +632,19 @@ void main() { gl_FragColor = vec4(0.0, 0.0, 0.0, 1.0); } -@end`},function(He,Fe,Ce){"use strict";var _e=Ce(28),Pe=Ce(11),ge=0,Ee=null,be=!0,we,pe=function(){this.triangleCount=0,this.vertexCount=0,this.drawCallCount=0};function ye(ce,te,ne){this.availableAttributes=ce,this.availableAttributeSymbols=te,this.indicesBuffer=ne,this.vao=null}var Se=_e.a.extend({material:null,geometry:null,mode:Pe.a.TRIANGLES,_drawCache:null,_renderInfo:null},function(){this._drawCache={},this._renderInfo=new pe},{__program:null,lightGroup:0,renderOrder:0,lineWidth:1,culling:!0,cullFace:Pe.a.BACK,frontFace:Pe.a.CCW,frustumCulling:!0,receiveShadow:!0,castShadow:!0,ignorePicking:!1,ignorePreZ:!1,ignoreGBuffer:!1,isRenderable:function(){return this.geometry&&this.material&&this.material.shader&&!this.invisible&&this.geometry.vertexCount>0},beforeRender:function(ce){},afterRender:function(ce,te){},getBoundingBox:function(ce,te){return te=_e.a.prototype.getBoundingBox.call(this,ce,te),this.geometry&&this.geometry.boundingBox&&te.union(this.geometry.boundingBox),te},render:function(ce,te,ne){var le=ce.gl;te=te||this.material;var oe=te.shader,de=this.geometry,he=this.mode,ie=de.vertexCount,ue=de.isUseIndices(),ve=ce.getGLExtension("OES_element_index_uint"),xe=ve&&ie>65535,De=xe?le.UNSIGNED_INT:le.UNSIGNED_SHORT,Re=ce.getGLExtension("OES_vertex_array_object"),Ne=!de.dynamic,Ue=this._renderInfo;Ue.vertexCount=ie,Ue.triangleCount=0,Ue.drawCallCount=0;var Ge=!1;if(we=ce.__uid__+"-"+de.__uid__+"-"+ne.__uid__,(we!==ge||Re&&Ne||de._cache.isDirty("any"))&&(Ge=!0),ge=we,!Ge)be?(le.drawElements(he,Ee.count,De,0),Ue.triangleCount=Ee.count/3):le.drawArrays(he,0,ie),Ue.drawCallCount=1;else{var Xe=this._drawCache[we];if(!Xe){var Qe=de.getBufferChunks(ce);if(!Qe)return;Xe=[];for(var nt=0;nt>1,Pe|=Pe>>2,Pe|=Pe>>4,Pe|=Pe>>8,Pe|=Pe>>16,Pe++,Pe},_e.nearestPowerOfTwo=function(Pe){return Math.pow(2,Math.round(Math.log(Pe)/Math.LN2))},Fe.a=_e},function(He,Fe,Ce){"use strict";var _e=Ce(4),Pe=Ce(1),ge=Ce.n(Pe),Ee=ge.a.vec3,be=ge.a.mat4,we=ge.a.vec4,pe=function(ye,Se){this.normal=ye||new _e.a(0,1,0),this.distance=Se||0};pe.prototype={constructor:pe,distanceToPoint:function(ye){return Ee.dot(ye.array,this.normal.array)-this.distance},projectPoint:function(ye,Se){Se||(Se=new _e.a);var ce=this.distanceToPoint(ye);return Ee.scaleAndAdd(Se.array,ye.array,this.normal.array,-ce),Se._dirty=!0,Se},normalize:function(){var ye=1/Ee.len(this.normal.array);Ee.scale(this.normal.array,ye),this.distance*=ye},intersectFrustum:function(ye){for(var Se=ye.vertices,ce=this.normal.array,te=Ee.dot(Se[0].array,ce)>this.distance,ne=1;ne<8;ne++)if(Ee.dot(Se[ne].array,ce)>this.distance!=te)return!0},intersectLine:function(){var ye=Ee.create();return function(Se,ce,te){var ne=this.distanceToPoint(Se),le=this.distanceToPoint(ce);if(ne>0&&le>0||ne<0&&le<0)return null;var oe=this.normal.array,de=this.distance,he=Se.array;Ee.sub(ye,ce.array,Se.array),Ee.normalize(ye,ye);var ie=Ee.dot(oe,ye);if(ie===0)return null;te||(te=new _e.a);var ue=(Ee.dot(oe,he)-de)/ie;return Ee.scaleAndAdd(te.array,he,ye,-ue),te._dirty=!0,te}}(),applyTransform:function(){var ye=be.create(),Se=we.create(),ce=we.create();return ce[3]=1,function(te){te=te.array,Ee.scale(ce,this.normal.array,this.distance),we.transformMat4(ce,ce,te),this.distance=Ee.dot(ce,this.normal.array),be.invert(ye,te),be.transpose(ye,ye),Se[3]=0,Ee.copy(Se,this.normal.array),we.transformMat4(Se,Se,ye),Ee.copy(this.normal.array,Se)}}(),copy:function(ye){Ee.copy(this.normal.array,ye.normal.array),this.normal._dirty=!0,this.distance=ye.distance},clone:function(){var ye=new pe;return ye.copy(this),ye}},Fe.a=pe},function(He,Fe,Ce){"use strict";var _e=Ce(13),Pe=Ce(15),ge=_e.a.extend({dynamic:!1,widthSegments:40,heightSegments:20,phiStart:0,phiLength:Math.PI*2,thetaStart:0,thetaLength:Math.PI,radius:1},function(){this.build()},{build:function(){var Ee=this.heightSegments,be=this.widthSegments,we=this.attributes.position,pe=this.attributes.texcoord0,ye=this.attributes.normal,Se=(be+1)*(Ee+1);we.init(Se),pe.init(Se),ye.init(Se);var ce=Se>65535?Uint32Array:Uint16Array,te=this.indices=new ce(be*Ee*6),ne,le,oe,de,he,ie,ue,Ne=this.radius,ve=this.phiStart,xe=this.phiLength,De=this.thetaStart,Re=this.thetaLength,Ne=this.radius,Ue=[],Ge=[],Xe=0,Qe=1/Ne;for(ue=0;ue<=Ee;ue++)for(ie=0;ie<=be;ie++)de=ie/be,he=ue/Ee,ne=-Ne*Math.cos(ve+de*xe)*Math.sin(De+he*Re),le=Ne*Math.cos(De+he*Re),oe=Ne*Math.sin(ve+de*xe)*Math.sin(De+he*Re),Ue[0]=ne,Ue[1]=le,Ue[2]=oe,Ge[0]=de,Ge[1]=he,we.set(Xe,Ue),pe.set(Xe,Ge),Ue[0]*=Qe,Ue[1]*=Qe,Ue[2]*=Qe,ye.set(Xe,Ue),Xe++;var nt,$e,qe,ut,at=be+1,ft=0;for(ue=0;uene&&(ce=this._x=0,te+=this._rowHeight+oe,this._y=te,this._rowHeight=0),this._x+=pe+oe,this._rowHeight=Math.max(this._rowHeight,ye),te+ye+oe>le)return null;we.position[0]+=this.offsetX*this.dpr+ce,we.position[1]+=this.offsetY*this.dpr+te,this._zr.add(we);var de=[this.offsetX/this.width,this.offsetY/this.height],he=[[ce/ne+de[0],te/le+de[1]],[(ce+pe)/ne+de[0],(te+ye)/le+de[1]]];return he},_fitElement:function(we,pe,ye){var Se=we.getBoundingRect(),ce=pe/Se.width,te=ye/Se.height;we.position=[-Se.x*ce,-Se.y*te],we.scale=[ce,te],we.update()}};function be(we){we=we||{},we.width=we.width||512,we.height=we.height||512,we.devicePixelRatio=we.devicePixelRatio||1,we.gap=we.gap==null?2:we.gap;var pe=document.createElement("canvas");pe.width=we.width*we.devicePixelRatio,pe.height=we.height*we.devicePixelRatio,this._canvas=pe,this._texture=new ge.a({image:pe,flipY:!1});var ye=this;this._zr=Pe.a.zrender.init(pe);var Se=this._zr.refreshImmediately;this._zr.refreshImmediately=function(){Se.call(this),ye._texture.dirty(),ye.onupdate&&ye.onupdate()},this._dpr=we.devicePixelRatio,this._coords={},this.onupdate=we.onupdate,this._gap=we.gap,this._textureAtlasNodes=[new Ee(this._zr,0,0,we.width,we.height,this._gap,this._dpr)],this._nodeWidth=we.width,this._nodeHeight=we.height,this._currentNodeIdx=0}be.prototype={clear:function(){for(var we=0;we=we){console.error("Too much labels. Some will be ignored.");return}var te=(Se+this._nodeWidth)*this._dpr,ne=(ce+this._nodeHeight)*this._dpr;try{this._zr.resize({width:te,height:ne})}catch(oe){this._canvas.width=te,this._canvas.height=ne}var le=new Ee(this._zr,Se,ce,this._nodeWidth,this._nodeHeight,this._gap,this._dpr);return this._textureAtlasNodes.push(le),le},add:function(we,pe,ye){if(this._coords[we.id])return console.warn("Element already been add"),this._coords[we.id];var Se=this._getCurrentNode().add(we,pe,ye);if(!Se){var ce=this._expand();if(!ce)return;Se=ce.add(we,pe,ye)}return this._coords[we.id]=Se,Se},getCoordsScale:function(){var we=this._dpr;return[this._nodeWidth/this._canvas.width*we,this._nodeHeight/this._canvas.height*we]},getCoords:function(we){return this._coords[we]}},Fe.a=be},function(He,Fe,Ce){"use strict";Fe.a=_e;function _e(Pe,ge,Ee){var be,we=Pe.scale;return we.type==="ordinal"&&(typeof Ee=="function"?(be=we.getTicks()[ge],!Ee(be,we.getLabel(be))):ge%(Ee+1))}},function(He,Fe,Ce){var 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_e({target:De._target,life:yt,loop:De._loop,delay:De._delay,onframe:Yt,ondestroy:Ne});return Re&&Re!=="spline"&&(vt.easing=Re),vt}}}var ve=function(De,Re,Ne,ze){this._tracks={},this._target=De,this._loop=Re||!1,this._getter=Ne||we,this._setter=ze||pe,this._clipCount=0,this._delay=0,this._doneList=[],this._onframeList=[],this._clipList=[]};ve.prototype={when:function(De,Re){var Ne=this._tracks;for(var ze in Re)if(Re.hasOwnProperty(ze)){if(!Ne[ze]){Ne[ze]=[];var Ge=this._getter(this._target,ze);if(Ge==null)continue;De!==0&&Ne[ze].push({time:0,value:de(Ge)})}Ne[ze].push({time:De,value:Re[ze]})}return this},during:function(De){return this._onframeList.push(De),this},pause:function(){for(var De=0;De255?255:Qe}function Ee(Qe){return Qe=Math.round(Qe),Qe<0?0:Qe>360?360:Qe}function be(Qe){return Qe<0?0:Qe>1?1:Qe}function we(Qe){return Qe.length&&Qe.charAt(Qe.length-1)==="%"?ge(parseFloat(Qe)/100*255):ge(parseInt(Qe,10))}function pe(Qe){return Qe.length&&Qe.charAt(Qe.length-1)==="%"?be(parseFloat(Qe)/100):be(parseFloat(Qe))}function ye(Qe,nt,$e){return $e<0?$e+=1:$e>1&&($e-=1),$e*6<1?Qe+(nt-Qe)*$e*6:$e*2<1?nt:$e*3<2?Qe+(nt-Qe)*(2/3-$e)*6:Qe}function Se(Qe,nt,$e){return Qe+(nt-Qe)*$e}function ce(Qe,nt,$e,qe,lt){return Qe[0]=nt,Qe[1]=$e,Qe[2]=qe,Qe[3]=lt,Qe}function te(Qe,nt){return Qe[0]=nt[0],Qe[1]=nt[1],Qe[2]=nt[2],Qe[3]=nt[3],Qe}var ne=new _e(20),le=null;function oe(Qe,nt){le&&te(le,nt),le=ne.put(Qe,le||nt.slice())}function de(Qe,nt){if(Qe){nt=nt||[];var $e=ne.get(Qe);if($e)return te(nt,$e);Qe=Qe+"";var qe=Qe.replace(/ /g,"").toLowerCase();if(qe in Pe)return te(nt,Pe[qe]),oe(Qe,nt),nt;if(qe.charAt(0)==="#"){if(qe.length===4){var lt=parseInt(qe.substr(1),16);if(!(lt>=0&<<=4095)){ce(nt,0,0,0,1);return}return ce(nt,(lt&3840)>>4|(lt&3840)>>8,lt&240|(lt&240)>>4,lt&15|(lt&15)<<4,1),oe(Qe,nt),nt}else if(qe.length===7){var lt=parseInt(qe.substr(1),16);if(!(lt>=0&<<=16777215)){ce(nt,0,0,0,1);return}return ce(nt,(lt&16711680)>>16,(lt&65280)>>8,lt&255,1),oe(Qe,nt),nt}return}var it=qe.indexOf("("),ft=qe.indexOf(")");if(it!==-1&&ft+1===qe.length){var rt=qe.substr(0,it),ct=qe.substr(it+1,ft-(it+1)).split(","),yt=1;switch(rt){case"rgba":if(ct.length!==4){ce(nt,0,0,0,1);return}yt=pe(ct.pop());case"rgb":if(ct.length!==3){ce(nt,0,0,0,1);return}return ce(nt,we(ct[0]),we(ct[1]),we(ct[2]),yt),oe(Qe,nt),nt;case"hsla":if(ct.length!==4){ce(nt,0,0,0,1);return}return ct[3]=pe(ct[3]),he(ct,nt),oe(Qe,nt),nt;case"hsl":if(ct.length!==3){ce(nt,0,0,0,1);return}return he(ct,nt),oe(Qe,nt),nt;default:return}}ce(nt,0,0,0,1)}}function he(Qe,nt){var $e=(parseFloat(Qe[0])%360+360)%360/360,qe=pe(Qe[1]),lt=pe(Qe[2]),it=lt<=.5?lt*(qe+1):lt+qe-lt*qe,ft=lt*2-it;return nt=nt||[],ce(nt,ge(ye(ft,it,$e+1/3)*255),ge(ye(ft,it,$e)*255),ge(ye(ft,it,$e-1/3)*255),1),Qe.length===4&&(nt[3]=Qe[3]),nt}function ie(Qe){if(Qe){var nt=Qe[0]/255,$e=Qe[1]/255,qe=Qe[2]/255,lt=Math.min(nt,$e,qe),it=Math.max(nt,$e,qe),ft=it-lt,rt=(it+lt)/2,ct,yt;if(ft===0)ct=0,yt=0;else{rt<.5?yt=ft/(it+lt):yt=ft/(2-it-lt);var mt=((it-nt)/6+ft/2)/ft,ht=((it-$e)/6+ft/2)/ft,gt=((it-qe)/6+ft/2)/ft;nt===it?ct=gt-ht:$e===it?ct=1/3+mt-gt:qe===it&&(ct=2/3+ht-mt),ct<0&&(ct+=1),ct>1&&(ct-=1)}var Wt=[ct*360,yt,rt];return Qe[3]!=null&&Wt.push(Qe[3]),Wt}}function ue(Qe,nt){var $e=de(Qe);if($e){for(var qe=0;qe<3;qe++)nt<0?$e[qe]=$e[qe]*(1-nt)|0:$e[qe]=(255-$e[qe])*nt+$e[qe]|0;return Xe($e,$e.length===4?"rgba":"rgb")}}function ve(Qe){var nt=de(Qe);if(nt)return((1<<24)+(nt[0]<<16)+(nt[1]<<8)+ +nt[2]).toString(16).slice(1)}function xe(Qe,nt,$e){if(!(!(nt&&nt.length)||!(Qe>=0&&Qe<=1))){$e=$e||[];var qe=Qe*(nt.length-1),lt=Math.floor(qe),it=Math.ceil(qe),ft=nt[lt],rt=nt[it],ct=qe-lt;return $e[0]=ge(Se(ft[0],rt[0],ct)),$e[1]=ge(Se(ft[1],rt[1],ct)),$e[2]=ge(Se(ft[2],rt[2],ct)),$e[3]=be(Se(ft[3],rt[3],ct)),$e}}var De=xe;function Re(Qe,nt,$e){if(!(!(nt&&nt.length)||!(Qe>=0&&Qe<=1))){var qe=Qe*(nt.length-1),lt=Math.floor(qe),it=Math.ceil(qe),ft=de(nt[lt]),rt=de(nt[it]),ct=qe-lt,yt=Xe([ge(Se(ft[0],rt[0],ct)),ge(Se(ft[1],rt[1],ct)),ge(Se(ft[2],rt[2],ct)),be(Se(ft[3],rt[3],ct))],"rgba");return $e?{color:yt,leftIndex:lt,rightIndex:it,value:qe}:yt}}var Ne=Re;function ze(Qe,nt,$e,qe){if(Qe=de(Qe),Qe)return Qe=ie(Qe),nt!=null&&(Qe[0]=Ee(nt)),$e!=null&&(Qe[1]=pe($e)),qe!=null&&(Qe[2]=pe(qe)),Xe(he(Qe),"rgba")}function Ge(Qe,nt){if(Qe=de(Qe),Qe&&nt!=null)return Qe[3]=be(nt),Xe(Qe,"rgba")}function Xe(Qe,nt){if(!(!Qe||!Qe.length)){var $e=Qe[0]+","+Qe[1]+","+Qe[2];return(nt==="rgba"||nt==="hsva"||nt==="hsla")&&($e+=","+Qe[3]),nt+"("+$e+")"}}Fe.parse=de,Fe.lift=ue,Fe.toHex=ve,Fe.fastLerp=xe,Fe.fastMapToColor=De,Fe.lerp=Re,Fe.mapToColor=Ne,Fe.modifyHSL=ze,Fe.modifyAlpha=Ge,Fe.stringify=Xe},function(He,Fe,Ce){"use strict";Fe.a=` @export clay.util.rand highp float rand(vec2 uv) { const highp float a = 12.9898, b = 78.233, c = 43758.5453; @@ -2166,7 +2166,7 @@ void main(){ @import clay.sm.depth.fragment -@end`},function(He,Fe,Ce){"use strict";var _e=Ce(134),Pe=Ce(138),ge=Ce(139),Ee=Ce(145),be=Ce(0),we=Ce.n(be);we.a.registerAction({type:"grid3DChangeCamera",event:"grid3dcamerachanged",update:"series:updateCamera"},function(pe,ye){ye.eachComponent({mainType:"grid3D",query:pe},function(Se){Se.setView(pe)})}),we.a.registerAction({type:"grid3DShowAxisPointer",event:"grid3dshowaxispointer",update:"grid3D:showAxisPointer"},function(pe,ye){}),we.a.registerAction({type:"grid3DHideAxisPointer",event:"grid3dhideaxispointer",update:"grid3D:hideAxisPointer"},function(pe,ye){})},function(He,Fe,Ce){"use strict";var _e=Ce(0),Pe=Ce.n(_e),ge=Ce(135),Ee=Pe.a.extendComponentModel({type:"cartesian3DAxis",axis:null,getCoordSysModel:function(){return this.ecModel.queryComponents({mainType:"grid3D",index:this.option.gridIndex,id:this.option.gridId})[0]}});Pe.a.helper.mixinAxisModelCommonMethods(Ee);function be(we,pe){return pe.type||(pe.data?"category":"value")}Object(ge.a)("x",Ee,be,{name:"X"}),Object(ge.a)("y",Ee,be,{name:"Y"}),Object(ge.a)("z",Ee,be,{name:"Z"})},function(He,Fe,Ce){"use strict";var _e=Ce(0),Pe=Ce.n(_e),ge=Ce(136),Ee=Ce(137),be=Ce.n(Ee),we=["value","category","time","log"];Fe.a=function(pe,ye,Se,ce){Pe.a.util.each(we,function(te){ye.extend({type:pe+"Axis3D."+te,__ordinalMeta:null,mergeDefaultAndTheme:function(ne,le){var oe=le.getTheme();Pe.a.util.merge(ne,oe.get(te+"Axis3D")),Pe.a.util.merge(ne,this.getDefaultOption()),ne.type=Se(pe,ne)},optionUpdated:function(){var ne=this.option;ne.type==="category"&&(this.__ordinalMeta=be.a.createByAxisModel(this))},getCategories:function(){if(this.option.type==="category")return this.__ordinalMeta.categories},getOrdinalMeta:function(){return this.__ordinalMeta},defaultOption:Pe.a.util.merge(Pe.a.util.clone(ge.a[te+"Axis3D"]),ce||{},!0)})}),ye.superClass.registerSubTypeDefaulter(pe+"Axis3D",Pe.a.util.curry(Se,pe))}},function(He,Fe,Ce){"use strict";var _e=Ce(0),Pe=Ce.n(_e),ge={show:!0,grid3DIndex:0,inverse:!1,name:"",nameLocation:"middle",nameTextStyle:{fontSize:16},nameGap:20,axisPointer:{},axisLine:{},axisTick:{},axisLabel:{},splitArea:{}},Ee=Pe.a.util.merge({boundaryGap:!0,axisTick:{alignWithLabel:!1,interval:"auto"},axisLabel:{interval:"auto"},axisPointer:{label:{show:!1}}},ge),be=Pe.a.util.merge({boundaryGap:[0,0],splitNumber:5,axisPointer:{label:{}}},ge),we=Pe.a.util.defaults({scale:!0,min:"dataMin",max:"dataMax"},be),pe=Pe.a.util.defaults({logBase:10},be);pe.scale=!0,Fe.a={categoryAxis3D:Ee,valueAxis3D:be,timeAxis3D:we,logAxis3D:pe}},function(He,Fe,Ce){var _e=Ce(12),Pe=_e.createHashMap,ge=_e.isObject,Ee=_e.map;function be(ce){this.categories=ce.categories||[],this._needCollect=ce.needCollect,this._deduplication=ce.deduplication,this._map}be.createByAxisModel=function(ce){var te=ce.option,ne=te.data,le=ne&&Ee(ne,ye);return new be({categories:le,needCollect:!le,deduplication:te.dedplication!==!1})};var we=be.prototype;we.getOrdinal=function(ce){return pe(this).get(ce)},we.parseAndCollect=function(ce){var te,ne=this._needCollect;if(typeof ce!="string"&&!ne)return ce;if(ne&&!this._deduplication)return te=this.categories.length,this.categories[te]=ce,te;var le=pe(this);return te=le.get(ce),te==null&&(ne?(te=this.categories.length,this.categories[te]=ce,le.set(ce,te)):te=NaN),te};function pe(ce){return ce._map||(ce._map=Pe(ce.categories))}function ye(ce){return ge(ce)&&ce.value!=null?ce.value:ce+""}var Se=be;He.exports=Se},function(He,Fe,Ce){"use strict";var _e=Ce(0),Pe=Ce.n(_e),ge=Ce(38),Ee=Ce(31),be=Ce(32),we=Pe.a.extendComponentModel({type:"grid3D",dependencies:["xAxis3D","yAxis3D","zAxis3D"],defaultOption:{show:!0,zlevel:-10,left:0,top:0,width:"100%",height:"100%",environment:"auto",boxWidth:100,boxHeight:100,boxDepth:100,axisPointer:{show:!0,lineStyle:{color:"rgba(0, 0, 0, 0.8)",width:1},label:{show:!0,formatter:null,margin:8,textStyle:{fontSize:14,color:"#fff",backgroundColor:"rgba(0,0,0,0.5)",padding:3,borderRadius:3}}},axisLine:{show:!0,lineStyle:{color:"#333",width:2,type:"solid"}},axisTick:{show:!0,inside:!1,length:3,lineStyle:{width:1}},axisLabel:{show:!0,inside:!1,rotate:0,margin:8,textStyle:{fontSize:12}},splitLine:{show:!0,lineStyle:{color:["#ccc"],width:1,type:"solid"}},splitArea:{show:!1,areaStyle:{color:["rgba(250,250,250,0.3)","rgba(200,200,200,0.3)"]}},light:{main:{alpha:30,beta:40},ambient:{intensity:.4}},viewControl:{alpha:20,beta:40,autoRotate:!1,distance:200,minDistance:40,maxDistance:400}}});Pe.a.util.merge(we.prototype,ge.a),Pe.a.util.merge(we.prototype,Ee.a),Pe.a.util.merge(we.prototype,be.a);var pe=we},function(He,Fe,Ce){"use strict";var _e=Ce(0),Pe=Ce.n(_e),ge=Ce(2),Ee=Ce(39),be=Ce(22),we=Ce(3),pe=Ce(73),ye=Ce(34),Se=Ce(140),ce=Ce(142),te=Ce(58),ne=Ce(40),le=we.a.firstNotNull;ge.a.Shader.import(ne.a),["x","y","z"].forEach(function(he){Pe.a.extendComponentView({type:he+"Axis3D"})});var oe={x:0,y:2,z:1},de=Pe.a.extendComponentView({type:"grid3D",__ecgl__:!0,init:function(he,ie){var ue=[["y","z","x",-1,"left"],["y","z","x",1,"right"],["x","y","z",-1,"bottom"],["x","y","z",1,"top"],["x","z","y",-1,"far"],["x","z","y",1,"near"]],ve=["x","y","z"],xe=new ge.a.Material({shader:ge.a.createShader("ecgl.color"),depthMask:!1,transparent:!0}),De=new ge.a.Material({shader:ge.a.createShader("ecgl.meshLines3D"),depthMask:!1,transparent:!0});xe.define("fragment","DOUBLE_SIDED"),xe.define("both","VERTEX_COLOR"),this.groupGL=new ge.a.Node,this._control=new Ee.a({zr:ie.getZr()}),this._control.init(),this._faces=ue.map(function(Ne){var Ue=new Se.a(Ne,De,xe);return this.groupGL.add(Ue.rootNode),Ue},this),this._axes=ve.map(function(Ne){var Ue=new ce.a(Ne,De);return this.groupGL.add(Ue.rootNode),Ue},this);var Re=ie.getDevicePixelRatio();this._axisLabelSurface=new pe.a({width:256,height:256,devicePixelRatio:Re}),this._axisLabelSurface.onupdate=function(){ie.getZr().refresh()},this._axisPointerLineMesh=new ge.a.Mesh({geometry:new be.a({useNativeLine:!1}),material:De,castShadow:!1,ignorePicking:!0,renderOrder:3}),this.groupGL.add(this._axisPointerLineMesh),this._axisPointerLabelsSurface=new pe.a({width:128,height:128,devicePixelRatio:Re}),this._axisPointerLabelsMesh=new te.a({ignorePicking:!0,renderOrder:4,castShadow:!1}),this._axisPointerLabelsMesh.material.set("textureAtlas",this._axisPointerLabelsSurface.getTexture()),this.groupGL.add(this._axisPointerLabelsMesh),this._lightRoot=new ge.a.Node,this._sceneHelper=new ye.a,this._sceneHelper.initLight(this._lightRoot)},render:function(he,ie,ue){this._model=he,this._api=ue;var ve=he.coordinateSystem;ve.viewGL.add(this._lightRoot),he.get("show")?ve.viewGL.add(this.groupGL):ve.viewGL.remove(this.groupGL);var xe=this._control;xe.setViewGL(ve.viewGL);var De=he.getModel("viewControl");xe.setFromViewControlModel(De,0),this._axisLabelSurface.clear();var Re=["x","y","z"].reduce(function(Ne,Ue){var Ge=ve.getAxis(Ue),Xe=Ge.model;return Ne[Ue]=le(Xe.get("axisLabel.interval"),he.get("axisLabel.interval")),Ge.scale.type==="ordinal"&&(Ne[Ue]==null||Ne[Ue]=="auto")&&(Ne[Ue]=Math.floor(Ge.scale.getTicks().length/8)),Ne},{});xe.off("update"),he.get("show")&&(this._faces.forEach(function(Ne){Ne.update(Re,he,ie,ue)},this),this._axes.forEach(function(Ne){Ne.update(he,Re,this._axisLabelSurface,ue)},this)),xe.on("update",this._onCameraChange.bind(this,he,ue),this),this._sceneHelper.setScene(ve.viewGL.scene),this._sceneHelper.updateLight(he),ve.viewGL.setPostEffect(he.getModel("postEffect"),ue),ve.viewGL.setTemporalSuperSampling(he.getModel("temporalSuperSampling")),this._initMouseHandler(he)},afterRender:function(he,ie,ue,ve){var xe=ve.renderer;this._sceneHelper.updateAmbientCubemap(xe,he,ue),this._sceneHelper.updateSkybox(xe,he,ue)},showAxisPointer:function(he,ie,ue,ve){this._doShowAxisPointer(),this._updateAxisPointer(ve.value)},hideAxisPointer:function(he,ie,ue,ve){this._doHideAxisPointer()},_initMouseHandler:function(he){var ie=he.coordinateSystem,ue=ie.viewGL;he.get("show")&&he.get("axisPointer.show")?ue.on("mousemove",this._updateAxisPointerOnMousePosition,this):ue.off("mousemove",this._updateAxisPointerOnMousePosition)},_updateAxisPointerOnMousePosition:function(he){if(!he.target){for(var ie=this._model,ue=ie.coordinateSystem,ve=ue.viewGL,xe=ve.castRay(he.offsetX,he.offsetY,new ge.a.Ray),De,Re=0;Reve[1]?0:1,Ne=this._faces[ue*2+Re],Ue=this._faces[ue*2+1-Re];Ne.rootNode.invisible=!0,Ue.rootNode.invisible=!1}},_updateAxisLinePosition:function(){var he=this._model.coordinateSystem,ie=he.getAxis("x"),ue=he.getAxis("y"),ve=he.getAxis("z"),xe=ve.getExtentMax(),De=ve.getExtentMin(),Re=ie.getExtentMin(),Ne=ie.getExtentMax(),Ue=ue.getExtentMax(),Ge=ue.getExtentMin(),Xe=this._axes[0].rootNode,Qe=this._axes[1].rootNode,nt=this._axes[2].rootNode,$e=this._faces,qe=$e[4].rootNode.invisible?Ge:Ue,ut=$e[2].rootNode.invisible?xe:De,at=$e[0].rootNode.invisible?Re:Ne,ft=$e[2].rootNode.invisible?xe:De,rt=$e[0].rootNode.invisible?Ne:Re,ct=$e[4].rootNode.invisible?Ge:Ue;Xe.rotation.identity(),Qe.rotation.identity(),nt.rotation.identity(),$e[4].rootNode.invisible&&(this._axes[0].flipped=!0,Xe.rotation.rotateX(Math.PI)),$e[0].rootNode.invisible&&(this._axes[1].flipped=!0,Qe.rotation.rotateZ(Math.PI)),$e[4].rootNode.invisible&&(this._axes[2].flipped=!0,nt.rotation.rotateY(Math.PI)),Xe.position.set(0,ut,qe),Qe.position.set(at,ft,0),nt.position.set(rt,0,ct),Xe.update(),Qe.update(),nt.update(),this._updateAxisLabelAlign()},_updateAxisLabelAlign:function(){var he=this._control.getCamera(),ie=[new ge.a.Vector4,new ge.a.Vector4],ue=new ge.a.Vector4;this.groupGL.getWorldPosition(ue),ue.w=1,ue.transformMat4(he.viewMatrix).transformMat4(he.projectionMatrix),ue.x/=ue.w,ue.y/=ue.w,this._axes.forEach(function(ve){for(var xe=ve.axisLineCoords,De=ve.labelsMesh.geometry,Re=0;Reue.y?"bottom":"top"):(nt="middle",Qe=Ge>ue.x?"left":"right"),ve.setSpriteAlign(Qe,nt,this._api)},this)},_doShowAxisPointer:function(){this._axisPointerLineMesh.invisible&&(this._axisPointerLineMesh.invisible=!1,this._axisPointerLabelsMesh.invisible=!1,this._api.getZr().refresh())},_doHideAxisPointer:function(){this._axisPointerLineMesh.invisible||(this._axisPointerLineMesh.invisible=!0,this._axisPointerLabelsMesh.invisible=!0,this._api.getZr().refresh())},_updateAxisPointer:function(he){var ie=this._model.coordinateSystem,ue=ie.dataToPoint(he),ve=this._axisPointerLineMesh,xe=ve.geometry,De=this._model.getModel("axisPointer"),Re=this._api.getDevicePixelRatio();xe.convertToDynamicArray(!0);function Ne(Wt){return we.a.firstNotNull(Wt.model.get("axisPointer.show"),De.get("show"))}function Ue(Wt){var Zt=Wt.model.getModel("axisPointer",De),en=Zt.getModel("lineStyle"),dn=ge.a.parseColor(en.get("color")),Lt=le(en.get("width"),1),on=le(en.get("opacity"),1);return dn[3]*=on,{color:dn,lineWidth:Lt}}for(var Ge=0;Ge0&&ne.rotation.rotateY(Math.PI),le.normal.z=-de)}function te(ne,le,oe){this.rootNode=new ge.a.Node;var de=new ge.a.Mesh({geometry:new be.a({useNativeLine:!1}),material:le,castShadow:!1,ignorePicking:!0,renderOrder:1}),he=new ge.a.Mesh({geometry:new we.a,material:oe,castShadow:!1,culling:!1,ignorePicking:!0,renderOrder:0});this.rootNode.add(he),this.rootNode.add(de),this.faceInfo=ne,this.plane=new ge.a.Plane,this.linesMesh=de,this.quadsMesh=he}te.prototype.update=function(ne,le,oe,de){var he=le.coordinateSystem,ie=[he.getAxis(this.faceInfo[0]),he.getAxis(this.faceInfo[1])],ue=this.linesMesh.geometry,ve=this.quadsMesh.geometry;ue.convertToDynamicArray(!0),ve.convertToDynamicArray(!0),this._updateSplitLines(ue,ie,le,ne,de),this._udpateSplitAreas(ve,ie,le,ne,de),ue.convertToTypedArray(),ve.convertToTypedArray();var xe=he.getAxis(this.faceInfo[2]);ce(this.rootNode,this.plane,xe,this.faceInfo[3])},te.prototype._updateSplitLines=function(ne,le,oe,de,he){var ie=he.getDevicePixelRatio();le.forEach(function(ue,ve){var xe=ue.model,De=le[1-ve].getExtent();if(!ue.scale.isBlank()){var Re=xe.getModel("splitLine",oe.getModel("splitLine"));if(Re.get("show")){var Ne=Re.getModel("lineStyle"),Ue=Ne.get("color"),Ge=ye(Ne.get("opacity"),1),Xe=ye(Ne.get("width"),1),Qe=Re.get("interval");(Qe==null||Qe==="auto")&&(Qe=de[ue.dim]),Ue=Pe.a.util.isArray(Ue)?Ue:[Ue];for(var nt=ue.getTicksCoords(),$e=0,qe=0;qe65535?new Uint32Array(ne*3):new Uint16Array(ne*3))},getQuadVertexCount:function(){return 4},getQuadTriangleCount:function(){return 2},addQuad:function(){var Se=pe.create(),ce=pe.create(),te=pe.create(),ne=[0,3,1,3,2,1];return function(le,oe){var de=this.attributes.position,he=this.attributes.normal,ie=this.attributes.color;pe.sub(Se,le[1],le[0]),pe.sub(ce,le[2],le[1]),pe.cross(te,Se,ce),pe.normalize(te,te);for(var ue=0;ue<4;ue++)de.set(this._vertexOffset+ue,le[ue]),ie.set(this._vertexOffset+ue,oe),he.set(this._vertexOffset+ue,te);for(var ve=this._faceOffset*3,ue=0;ue<6;ue++)this.indices[ve+ue]=ne[ue]+this._vertexOffset;this._vertexOffset+=4,this._faceOffset+=2}}()});ge.a.util.defaults(ye.prototype,Ee.a),Fe.a=ye},function(He,Fe,Ce){"use strict";var _e=Ce(0),Pe=Ce.n(_e),ge=Ce(2),Ee=Ce(22),be=Ce(3),we=Ce(58),pe=Ce(74),ye=be.a.firstNotNull,Se={x:0,y:2,z:1};function ce(ne,le){var oe=new ge.a.Mesh({geometry:new Ee.a({useNativeLine:!1}),material:le,castShadow:!1,ignorePicking:!0,renderOrder:2}),de=new we.a;de.material.depthMask=!1;var he=new ge.a.Node;he.add(oe),he.add(de),this.rootNode=he,this.dim=ne,this.linesMesh=oe,this.labelsMesh=de,this.axisLineCoords=null,this.labelElements=[]}var te={x:"y",y:"x",z:"y"};ce.prototype.update=function(ne,le,oe,de){var he=ne.coordinateSystem,ie=he.getAxis(this.dim),ue=le[this.dim],ve=this.linesMesh.geometry,xe=this.labelsMesh.geometry;ve.convertToDynamicArray(!0),xe.convertToDynamicArray(!0);var De=ie.model,Re=ie.getExtent(),en=de.getDevicePixelRatio(),Ne=De.getModel("axisLine",ne.getModel("axisLine")),Ue=De.getModel("axisTick",ne.getModel("axisTick")),Ge=De.getModel("axisLabel",ne.getModel("axisLabel")),Xe=Ne.get("lineStyle.color");if(Ne.get("show")){var Qe=Ne.getModel("lineStyle"),nt=[0,0,0],$e=[0,0,0],qe=Se[ie.dim];nt[qe]=Re[0],$e[qe]=Re[1],this.axisLineCoords=[nt,$e];var ut=ge.a.parseColor(Xe),at=ye(Qe.get("width"),1),ft=ye(Qe.get("opacity"),1);ut[3]*=ft,ve.addLine(nt,$e,ut,at*en)}if(Ue.get("show")){var rt=Ue.getModel("lineStyle"),ct=ge.a.parseColor(ye(rt.get("color"),Xe)),at=ye(rt.get("width"),1);ct[3]*=ye(rt.get("opacity"),1);var yt=ie.getTicksCoords(),mt=Ue.get("interval");(mt==null||mt==="auto")&&(mt=ue);for(var ht=Ue.get("length"),gt=0;gt65535?new Uint32Array(Se*3):new Uint16Array(Se*3))},setSpriteAlign:function(pe,ye,Se,ce,te){Se==null&&(Se="left"),ce==null&&(ce="top");var ne,le,oe,de;switch(te=te||0,Se){case"left":ne=te,oe=ye[0]+te;break;case"center":case"middle":ne=-ye[0]/2,oe=ye[0]/2;break;case"right":ne=-ye[0]-te,oe=-te;break}switch(ce){case"bottom":le=te,de=ye[1]+te;break;case"middle":le=-ye[1]/2,de=ye[1]/2;break;case"top":le=-ye[1]-te,de=-te;break}var he=pe*4,ie=this.attributes.offset;ie.set(he,[ne,de]),ie.set(he+1,[oe,de]),ie.set(he+2,[oe,le]),ie.set(he+3,[ne,le])},addSprite:function(pe,ye,Se,ce,te,ne){var le=this._vertexOffset;this.setSprite(this._vertexOffset/4,pe,ye,Se,ce,te,ne);for(var oe=0;oeve[1]?0:1,Ne=this._faces[ue*2+Re],ze=this._faces[ue*2+1-Re];Ne.rootNode.invisible=!0,ze.rootNode.invisible=!1}},_updateAxisLinePosition:function(){var he=this._model.coordinateSystem,ie=he.getAxis("x"),ue=he.getAxis("y"),ve=he.getAxis("z"),xe=ve.getExtentMax(),De=ve.getExtentMin(),Re=ie.getExtentMin(),Ne=ie.getExtentMax(),ze=ue.getExtentMax(),Ge=ue.getExtentMin(),Xe=this._axes[0].rootNode,Qe=this._axes[1].rootNode,nt=this._axes[2].rootNode,$e=this._faces,qe=$e[4].rootNode.invisible?Ge:ze,lt=$e[2].rootNode.invisible?xe:De,it=$e[0].rootNode.invisible?Re:Ne,ft=$e[2].rootNode.invisible?xe:De,rt=$e[0].rootNode.invisible?Ne:Re,ct=$e[4].rootNode.invisible?Ge:ze;Xe.rotation.identity(),Qe.rotation.identity(),nt.rotation.identity(),$e[4].rootNode.invisible&&(this._axes[0].flipped=!0,Xe.rotation.rotateX(Math.PI)),$e[0].rootNode.invisible&&(this._axes[1].flipped=!0,Qe.rotation.rotateZ(Math.PI)),$e[4].rootNode.invisible&&(this._axes[2].flipped=!0,nt.rotation.rotateY(Math.PI)),Xe.position.set(0,lt,qe),Qe.position.set(it,ft,0),nt.position.set(rt,0,ct),Xe.update(),Qe.update(),nt.update(),this._updateAxisLabelAlign()},_updateAxisLabelAlign:function(){var he=this._control.getCamera(),ie=[new ge.a.Vector4,new ge.a.Vector4],ue=new ge.a.Vector4;this.groupGL.getWorldPosition(ue),ue.w=1,ue.transformMat4(he.viewMatrix).transformMat4(he.projectionMatrix),ue.x/=ue.w,ue.y/=ue.w,this._axes.forEach(function(ve){for(var xe=ve.axisLineCoords,De=ve.labelsMesh.geometry,Re=0;Reue.y?"bottom":"top"):(nt="middle",Qe=Ge>ue.x?"left":"right"),ve.setSpriteAlign(Qe,nt,this._api)},this)},_doShowAxisPointer:function(){this._axisPointerLineMesh.invisible&&(this._axisPointerLineMesh.invisible=!1,this._axisPointerLabelsMesh.invisible=!1,this._api.getZr().refresh())},_doHideAxisPointer:function(){this._axisPointerLineMesh.invisible||(this._axisPointerLineMesh.invisible=!0,this._axisPointerLabelsMesh.invisible=!0,this._api.getZr().refresh())},_updateAxisPointer:function(he){var ie=this._model.coordinateSystem,ue=ie.dataToPoint(he),ve=this._axisPointerLineMesh,xe=ve.geometry,De=this._model.getModel("axisPointer"),Re=this._api.getDevicePixelRatio();xe.convertToDynamicArray(!0);function Ne(Wt){return we.a.firstNotNull(Wt.model.get("axisPointer.show"),De.get("show"))}function ze(Wt){var Zt=Wt.model.getModel("axisPointer",De),en=Zt.getModel("lineStyle"),dn=ge.a.parseColor(en.get("color")),Lt=le(en.get("width"),1),an=le(en.get("opacity"),1);return dn[3]*=an,{color:dn,lineWidth:Lt}}for(var Ge=0;Ge0&&ne.rotation.rotateY(Math.PI),le.normal.z=-de)}function te(ne,le,oe){this.rootNode=new ge.a.Node;var de=new ge.a.Mesh({geometry:new be.a({useNativeLine:!1}),material:le,castShadow:!1,ignorePicking:!0,renderOrder:1}),he=new ge.a.Mesh({geometry:new we.a,material:oe,castShadow:!1,culling:!1,ignorePicking:!0,renderOrder:0});this.rootNode.add(he),this.rootNode.add(de),this.faceInfo=ne,this.plane=new ge.a.Plane,this.linesMesh=de,this.quadsMesh=he}te.prototype.update=function(ne,le,oe,de){var he=le.coordinateSystem,ie=[he.getAxis(this.faceInfo[0]),he.getAxis(this.faceInfo[1])],ue=this.linesMesh.geometry,ve=this.quadsMesh.geometry;ue.convertToDynamicArray(!0),ve.convertToDynamicArray(!0),this._updateSplitLines(ue,ie,le,ne,de),this._udpateSplitAreas(ve,ie,le,ne,de),ue.convertToTypedArray(),ve.convertToTypedArray();var xe=he.getAxis(this.faceInfo[2]);ce(this.rootNode,this.plane,xe,this.faceInfo[3])},te.prototype._updateSplitLines=function(ne,le,oe,de,he){var ie=he.getDevicePixelRatio();le.forEach(function(ue,ve){var xe=ue.model,De=le[1-ve].getExtent();if(!ue.scale.isBlank()){var Re=xe.getModel("splitLine",oe.getModel("splitLine"));if(Re.get("show")){var Ne=Re.getModel("lineStyle"),ze=Ne.get("color"),Ge=ye(Ne.get("opacity"),1),Xe=ye(Ne.get("width"),1),Qe=Re.get("interval");(Qe==null||Qe==="auto")&&(Qe=de[ue.dim]),ze=Pe.a.util.isArray(ze)?ze:[ze];for(var nt=ue.getTicksCoords(),$e=0,qe=0;qe65535?new Uint32Array(ne*3):new Uint16Array(ne*3))},getQuadVertexCount:function(){return 4},getQuadTriangleCount:function(){return 2},addQuad:function(){var Se=pe.create(),ce=pe.create(),te=pe.create(),ne=[0,3,1,3,2,1];return function(le,oe){var de=this.attributes.position,he=this.attributes.normal,ie=this.attributes.color;pe.sub(Se,le[1],le[0]),pe.sub(ce,le[2],le[1]),pe.cross(te,Se,ce),pe.normalize(te,te);for(var ue=0;ue<4;ue++)de.set(this._vertexOffset+ue,le[ue]),ie.set(this._vertexOffset+ue,oe),he.set(this._vertexOffset+ue,te);for(var ve=this._faceOffset*3,ue=0;ue<6;ue++)this.indices[ve+ue]=ne[ue]+this._vertexOffset;this._vertexOffset+=4,this._faceOffset+=2}}()});ge.a.util.defaults(ye.prototype,Ee.a),Fe.a=ye},function(He,Fe,Ce){"use strict";var _e=Ce(0),Pe=Ce.n(_e),ge=Ce(2),Ee=Ce(22),be=Ce(3),we=Ce(58),pe=Ce(74),ye=be.a.firstNotNull,Se={x:0,y:2,z:1};function ce(ne,le){var oe=new ge.a.Mesh({geometry:new Ee.a({useNativeLine:!1}),material:le,castShadow:!1,ignorePicking:!0,renderOrder:2}),de=new we.a;de.material.depthMask=!1;var he=new ge.a.Node;he.add(oe),he.add(de),this.rootNode=he,this.dim=ne,this.linesMesh=oe,this.labelsMesh=de,this.axisLineCoords=null,this.labelElements=[]}var te={x:"y",y:"x",z:"y"};ce.prototype.update=function(ne,le,oe,de){var he=ne.coordinateSystem,ie=he.getAxis(this.dim),ue=le[this.dim],ve=this.linesMesh.geometry,xe=this.labelsMesh.geometry;ve.convertToDynamicArray(!0),xe.convertToDynamicArray(!0);var De=ie.model,Re=ie.getExtent(),en=de.getDevicePixelRatio(),Ne=De.getModel("axisLine",ne.getModel("axisLine")),ze=De.getModel("axisTick",ne.getModel("axisTick")),Ge=De.getModel("axisLabel",ne.getModel("axisLabel")),Xe=Ne.get("lineStyle.color");if(Ne.get("show")){var Qe=Ne.getModel("lineStyle"),nt=[0,0,0],$e=[0,0,0],qe=Se[ie.dim];nt[qe]=Re[0],$e[qe]=Re[1],this.axisLineCoords=[nt,$e];var lt=ge.a.parseColor(Xe),it=ye(Qe.get("width"),1),ft=ye(Qe.get("opacity"),1);lt[3]*=ft,ve.addLine(nt,$e,lt,it*en)}if(ze.get("show")){var rt=ze.getModel("lineStyle"),ct=ge.a.parseColor(ye(rt.get("color"),Xe)),it=ye(rt.get("width"),1);ct[3]*=ye(rt.get("opacity"),1);var yt=ie.getTicksCoords(),mt=ze.get("interval");(mt==null||mt==="auto")&&(mt=ue);for(var ht=ze.get("length"),gt=0;gt65535?new Uint32Array(Se*3):new Uint16Array(Se*3))},setSpriteAlign:function(pe,ye,Se,ce,te){Se==null&&(Se="left"),ce==null&&(ce="top");var ne,le,oe,de;switch(te=te||0,Se){case"left":ne=te,oe=ye[0]+te;break;case"center":case"middle":ne=-ye[0]/2,oe=ye[0]/2;break;case"right":ne=-ye[0]-te,oe=-te;break}switch(ce){case"bottom":le=te,de=ye[1]+te;break;case"middle":le=-ye[1]/2,de=ye[1]/2;break;case"top":le=-ye[1]-te,de=-te;break}var he=pe*4,ie=this.attributes.offset;ie.set(he,[ne,de]),ie.set(he+1,[oe,de]),ie.set(he+2,[oe,le]),ie.set(he+3,[ne,le])},addSprite:function(pe,ye,Se,ce,te,ne){var le=this._vertexOffset;this.setSprite(this._vertexOffset/4,pe,ye,Se,ce,te,ne);for(var oe=0;oe1?"."+ue[1]:""))}function be(ue,ve){return ue=(ue||"").toLowerCase().replace(/-(.)/g,function(xe,De){return De.toUpperCase()}),ve&&ue&&(ue=ue.charAt(0).toUpperCase()+ue.slice(1)),ue}var we=_e.normalizeCssArray;function pe(ue){return String(ue).replace(/&/g,"&").replace(//g,">").replace(/"/g,""").replace(/'/g,"'")}var ye=["a","b","c","d","e","f","g"],Se=function(ue,ve){return"{"+ue+(ve==null?"":ve)+"}"};function ce(ue,ve,xe){_e.isArray(ve)||(ve=[ve]);var De=ve.length;if(!De)return"";for(var Re=ve[0].$vars||[],Ne=0;Ne':'':""}var le=function(ue){return ue<10?"0"+ue:ue};function oe(ue,ve,xe){(ue==="week"||ue==="month"||ue==="quarter"||ue==="half-year"||ue==="year")&&(ue=`MM-dd -yyyy`);var De=ge.parseDate(ve),Re=xe?"UTC":"",Ne=De["get"+Re+"FullYear"](),Ue=De["get"+Re+"Month"]()+1,Ge=De["get"+Re+"Date"](),Xe=De["get"+Re+"Hours"](),Qe=De["get"+Re+"Minutes"](),nt=De["get"+Re+"Seconds"]();return ue=ue.replace("MM",le(Ue)).replace("M",Ue).replace("yyyy",Ne).replace("yy",Ne%100).replace("dd",le(Ge)).replace("d",Ge).replace("hh",le(Xe)).replace("h",Xe).replace("mm",le(Qe)).replace("m",Qe).replace("ss",le(nt)).replace("s",nt),ue}function de(ue){return ue&&ue.charAt(0).toUpperCase()+ue.substr(1)}var he=Pe.truncateText,ie=Pe.getBoundingRect;Fe.addCommas=Ee,Fe.toCamelCase=be,Fe.normalizeCssArray=we,Fe.encodeHTML=pe,Fe.formatTpl=ce,Fe.formatTplSimple=te,Fe.getTooltipMarker=ne,Fe.formatTime=oe,Fe.capitalFirst=de,Fe.truncateText=he,Fe.getTextRect=ie},function(He,Fe,Ce){var _e=Ce(75),Pe=Ce(151),ge=Ce(12),Ee=ge.getContext,be=ge.extend,we=ge.retrieve2,pe=ge.retrieve3,ye={},Se=0,ce=5e3,te=/\{([a-zA-Z0-9_]+)\|([^}]*)\}/g,ne="12px sans-serif",le={};function oe(at,ft){le[at]=ft}function de(at,ft){ft=ft||ne;var rt=at+":"+ft;if(ye[rt])return ye[rt];for(var ct=(at+"").split(` -`),yt=0,mt=0,ht=ct.length;mtce&&(Se=0,ye={}),Se++,ye[rt]=yt,yt}function he(at,ft,rt,ct,yt,mt,ht){return mt?ue(at,ft,rt,ct,yt,mt,ht):ie(at,ft,rt,ct,yt,ht)}function ie(at,ft,rt,ct,yt,mt){var ht=nt(at,ft,yt,mt),gt=de(at,ft);yt&&(gt+=yt[1]+yt[3]);var Wt=ht.outerHeight,Zt=ve(0,gt,rt),en=xe(0,Wt,ct),dn=new _e(Zt,en,gt,Wt);return dn.lineHeight=ht.lineHeight,dn}function ue(at,ft,rt,ct,yt,mt,ht){var gt=$e(at,{rich:mt,truncate:ht,font:ft,textAlign:rt,textPadding:yt}),Wt=gt.outerWidth,Zt=gt.outerHeight,en=ve(0,Wt,rt),dn=xe(0,Zt,ct);return new _e(en,dn,Wt,Zt)}function ve(at,ft,rt){return rt==="right"?at-=ft:rt==="center"&&(at-=ft/2),at}function xe(at,ft,rt){return rt==="middle"?at-=ft/2:rt==="bottom"&&(at-=ft),at}function De(at,ft,rt){var ct=ft.x,yt=ft.y,mt=ft.height,ht=ft.width,gt=mt/2,Wt="left",Zt="top";switch(at){case"left":ct-=rt,yt+=gt,Wt="right",Zt="middle";break;case"right":ct+=rt+ht,yt+=gt,Zt="middle";break;case"top":ct+=ht/2,yt-=rt,Wt="center",Zt="bottom";break;case"bottom":ct+=ht/2,yt+=mt+rt,Wt="center";break;case"inside":ct+=ht/2,yt+=gt,Wt="center",Zt="middle";break;case"insideLeft":ct+=rt,yt+=gt,Zt="middle";break;case"insideRight":ct+=ht-rt,yt+=gt,Wt="right",Zt="middle";break;case"insideTop":ct+=ht/2,yt+=rt,Wt="center";break;case"insideBottom":ct+=ht/2,yt+=mt-rt,Wt="center",Zt="bottom";break;case"insideTopLeft":ct+=rt,yt+=rt;break;case"insideTopRight":ct+=ht-rt,yt+=rt,Wt="right";break;case"insideBottomLeft":ct+=rt,yt+=mt-rt,Zt="bottom";break;case"insideBottomRight":ct+=ht-rt,yt+=mt-rt,Wt="right",Zt="bottom";break}return{x:ct,y:yt,textAlign:Wt,textVerticalAlign:Zt}}function Re(at,ft,rt,ct,yt){if(!ft)return"";var mt=(at+"").split(` -`);yt=Ne(ft,rt,ct,yt);for(var ht=0,gt=mt.length;ht=ht;Wt++)gt-=ht;var Zt=de(yt);return Zt>gt&&(yt="",Zt=0),gt=at-Zt,ct.ellipsis=yt,ct.ellipsisWidth=Zt,ct.contentWidth=gt,ct.containerWidth=at,ct}function Ue(at,ft){var rt=ft.containerWidth,ct=ft.font,yt=ft.contentWidth;if(!rt)return"";var mt=de(at,ct);if(mt<=rt)return at;for(var ht=0;;ht++){if(mt<=yt||ht>=ft.maxIterations){at+=ft.ellipsis;break}var gt=ht===0?Ge(at,yt,ft.ascCharWidth,ft.cnCharWidth):mt>0?Math.floor(at.length*yt/mt):0;at=at.substr(0,gt),mt=de(at,ct)}return at===""&&(at=ft.placeholder),at}function Ge(at,ft,rt,ct){for(var yt=0,mt=0,ht=at.length;mtWt)at="",mt=[];else if(Zt!=null)for(var en=Ne(Zt-(rt?rt[1]+rt[3]:0),ft,ct.ellipsis,{minChar:ct.minChar,placeholder:ct.placeholder}),dn=0,Lt=mt.length;dnct&&qe(rt,at.substring(ct,mt)),qe(rt,yt[2],yt[1]),ct=te.lastIndex}cton)return{lines:[],width:0,height:0};Gt.textWidth=de(Gt.text,Yt);var At=It.textWidth,Xt=At==null||At==="auto";if(typeof At=="string"&&At.charAt(At.length-1)==="%")Gt.percentWidth=At,Zt.push(Gt),At=0;else{if(Xt){At=Gt.textWidth;var Ft=It.textBackgroundColor,Mt=Ft&&Ft.image;Mt&&(Mt=Pe.findExistImage(Mt),Pe.isImageReady(Mt)&&(At=Math.max(At,Mt.width*vt/Mt.height)))}var ln=St?St[1]+St[3]:0;At+=ln;var Dn=Lt!=null?Lt-sn:null;Dn!=null&&Dn4){console.warn("Support at most 4 cascade");continue}on.shadowCascade>1&&(dn=on.shadowCascade),this.renderDirectionalLightShadow(ut,at,ft,on,this._opaqueCasters,Zt,Wt,gt)}else on instanceof te.a?this.renderSpotLightShadow(ut,at,on,this._opaqueCasters,ht,mt):on instanceof le.a&&this.renderPointLightShadow(ut,at,on,this._opaqueCasters,en);this._shadowMapNumber[on.type]++}for(var an in this._shadowMapNumber)for(var Mn=this._shadowMapNumber[an],Bn=an+"_SHADOWMAP_COUNT",Lt=0;Lt0?tn.define("fragment",Bn,Mn):tn.isDefined("fragment",Bn)&&tn.undefine("fragment",Bn))}for(var Lt=0;Lt0){var St=gt.map(It);if(Gt.directionalLightShadowMaps={value:gt,type:"tv"},Gt.directionalLightMatrices={value:Wt,type:"m4v"},Gt.directionalLightShadowMapSizes={value:St,type:"1fv"},dn){var Yt=Zt.slice(),vt=Zt.slice();Yt.pop(),vt.shift(),Yt.reverse(),vt.reverse(),Wt.reverse(),Gt.shadowCascadeClipsNear={value:Yt,type:"1fv"},Gt.shadowCascadeClipsFar={value:vt,type:"1fv"}}}if(mt.length>0){var At=mt.map(It),Gt=at.shadowUniforms;Gt.spotLightShadowMaps={value:mt,type:"tv"},Gt.spotLightMatrices={value:ht,type:"m4v"},Gt.spotLightShadowMapSizes={value:At,type:"1fv"}}en.length>0&&(Gt.pointLightShadowMaps={value:en,type:"tv"})},renderDirectionalLightShadow:function(){var ut=new be.a,at=new we.a,ft=new Ee.a,rt=new we.a,ct=new we.a,yt=new we.a,mt=new we.a;return function(ht,gt,Wt,Zt,en,dn,Lt,on){var an=this._getDepthMaterial(Zt),Mn={getMaterial:function(xr){return xr.shadowDepthMaterial||an},sortCompare:pe.a.opaqueSortCompare};if(!gt.viewBoundingBoxLastFrame.isFinite()){var Bn=gt.getBoundingBox();gt.viewBoundingBoxLastFrame.copy(Bn).applyTransform(Wt.viewMatrix)}var sn=Math.min(-gt.viewBoundingBoxLastFrame.min.z,Wt.far),tn=Math.max(-gt.viewBoundingBoxLastFrame.max.z,Wt.near),Gt=this._getDirectionalLightCamera(Zt,gt,Wt),It=yt.array;mt.copy(Gt.projectionMatrix),Qe.invert(ct.array,Gt.worldTransform.array),Qe.multiply(ct.array,ct.array,Wt.worldTransform.array),Qe.multiply(It,mt.array,ct.array);for(var St=[],Yt=Wt instanceof xe.a,vt=(Wt.near+Wt.far)/(Wt.near-Wt.far),At=2*Wt.near*Wt.far/(Wt.near-Wt.far),Xt=0;Xt<=Zt.shadowCascade;Xt++){var Ft=tn*Math.pow(sn/tn,Xt/Zt.shadowCascade),Mt=tn+(sn-tn)*Xt/Zt.shadowCascade,ln=Ft*Zt.cascadeSplitLogFactor+Mt*(1-Zt.cascadeSplitLogFactor);St.push(ln),dn.push(-(-ln*vt+At)/-ln)}var Dn=this._getTexture(Zt,Zt.shadowCascade);on.push(Dn);var Hn=ht.viewport,Vn=ht.gl;this._frameBuffer.attach(Dn),this._frameBuffer.bind(ht),Vn.clear(Vn.COLOR_BUFFER_BIT|Vn.DEPTH_BUFFER_BIT);for(var Xt=0;Xt1?"."+ue[1]:""))}function be(ue,ve){return ue=(ue||"").toLowerCase().replace(/-(.)/g,function(xe,De){return De.toUpperCase()}),ve&&ue&&(ue=ue.charAt(0).toUpperCase()+ue.slice(1)),ue}var we=_e.normalizeCssArray;function pe(ue){return String(ue).replace(/&/g,"&").replace(//g,">").replace(/"/g,""").replace(/'/g,"'")}var ye=["a","b","c","d","e","f","g"],Se=function(ue,ve){return"{"+ue+(ve==null?"":ve)+"}"};function ce(ue,ve,xe){_e.isArray(ve)||(ve=[ve]);var De=ve.length;if(!De)return"";for(var Re=ve[0].$vars||[],Ne=0;Ne':'':""}var le=function(ue){return ue<10?"0"+ue:ue};function oe(ue,ve,xe){(ue==="week"||ue==="month"||ue==="quarter"||ue==="half-year"||ue==="year")&&(ue=`MM-dd +yyyy`);var De=ge.parseDate(ve),Re=xe?"UTC":"",Ne=De["get"+Re+"FullYear"](),ze=De["get"+Re+"Month"]()+1,Ge=De["get"+Re+"Date"](),Xe=De["get"+Re+"Hours"](),Qe=De["get"+Re+"Minutes"](),nt=De["get"+Re+"Seconds"]();return ue=ue.replace("MM",le(ze)).replace("M",ze).replace("yyyy",Ne).replace("yy",Ne%100).replace("dd",le(Ge)).replace("d",Ge).replace("hh",le(Xe)).replace("h",Xe).replace("mm",le(Qe)).replace("m",Qe).replace("ss",le(nt)).replace("s",nt),ue}function de(ue){return ue&&ue.charAt(0).toUpperCase()+ue.substr(1)}var he=Pe.truncateText,ie=Pe.getBoundingRect;Fe.addCommas=Ee,Fe.toCamelCase=be,Fe.normalizeCssArray=we,Fe.encodeHTML=pe,Fe.formatTpl=ce,Fe.formatTplSimple=te,Fe.getTooltipMarker=ne,Fe.formatTime=oe,Fe.capitalFirst=de,Fe.truncateText=he,Fe.getTextRect=ie},function(He,Fe,Ce){var _e=Ce(75),Pe=Ce(151),ge=Ce(12),Ee=ge.getContext,be=ge.extend,we=ge.retrieve2,pe=ge.retrieve3,ye={},Se=0,ce=5e3,te=/\{([a-zA-Z0-9_]+)\|([^}]*)\}/g,ne="12px sans-serif",le={};function oe(it,ft){le[it]=ft}function de(it,ft){ft=ft||ne;var rt=it+":"+ft;if(ye[rt])return ye[rt];for(var ct=(it+"").split(` +`),yt=0,mt=0,ht=ct.length;mtce&&(Se=0,ye={}),Se++,ye[rt]=yt,yt}function he(it,ft,rt,ct,yt,mt,ht){return mt?ue(it,ft,rt,ct,yt,mt,ht):ie(it,ft,rt,ct,yt,ht)}function ie(it,ft,rt,ct,yt,mt){var ht=nt(it,ft,yt,mt),gt=de(it,ft);yt&&(gt+=yt[1]+yt[3]);var Wt=ht.outerHeight,Zt=ve(0,gt,rt),en=xe(0,Wt,ct),dn=new _e(Zt,en,gt,Wt);return dn.lineHeight=ht.lineHeight,dn}function ue(it,ft,rt,ct,yt,mt,ht){var gt=$e(it,{rich:mt,truncate:ht,font:ft,textAlign:rt,textPadding:yt}),Wt=gt.outerWidth,Zt=gt.outerHeight,en=ve(0,Wt,rt),dn=xe(0,Zt,ct);return new _e(en,dn,Wt,Zt)}function ve(it,ft,rt){return rt==="right"?it-=ft:rt==="center"&&(it-=ft/2),it}function xe(it,ft,rt){return rt==="middle"?it-=ft/2:rt==="bottom"&&(it-=ft),it}function De(it,ft,rt){var ct=ft.x,yt=ft.y,mt=ft.height,ht=ft.width,gt=mt/2,Wt="left",Zt="top";switch(it){case"left":ct-=rt,yt+=gt,Wt="right",Zt="middle";break;case"right":ct+=rt+ht,yt+=gt,Zt="middle";break;case"top":ct+=ht/2,yt-=rt,Wt="center",Zt="bottom";break;case"bottom":ct+=ht/2,yt+=mt+rt,Wt="center";break;case"inside":ct+=ht/2,yt+=gt,Wt="center",Zt="middle";break;case"insideLeft":ct+=rt,yt+=gt,Zt="middle";break;case"insideRight":ct+=ht-rt,yt+=gt,Wt="right",Zt="middle";break;case"insideTop":ct+=ht/2,yt+=rt,Wt="center";break;case"insideBottom":ct+=ht/2,yt+=mt-rt,Wt="center",Zt="bottom";break;case"insideTopLeft":ct+=rt,yt+=rt;break;case"insideTopRight":ct+=ht-rt,yt+=rt,Wt="right";break;case"insideBottomLeft":ct+=rt,yt+=mt-rt,Zt="bottom";break;case"insideBottomRight":ct+=ht-rt,yt+=mt-rt,Wt="right",Zt="bottom";break}return{x:ct,y:yt,textAlign:Wt,textVerticalAlign:Zt}}function Re(it,ft,rt,ct,yt){if(!ft)return"";var mt=(it+"").split(` +`);yt=Ne(ft,rt,ct,yt);for(var ht=0,gt=mt.length;ht=ht;Wt++)gt-=ht;var Zt=de(yt);return Zt>gt&&(yt="",Zt=0),gt=it-Zt,ct.ellipsis=yt,ct.ellipsisWidth=Zt,ct.contentWidth=gt,ct.containerWidth=it,ct}function ze(it,ft){var rt=ft.containerWidth,ct=ft.font,yt=ft.contentWidth;if(!rt)return"";var mt=de(it,ct);if(mt<=rt)return it;for(var ht=0;;ht++){if(mt<=yt||ht>=ft.maxIterations){it+=ft.ellipsis;break}var gt=ht===0?Ge(it,yt,ft.ascCharWidth,ft.cnCharWidth):mt>0?Math.floor(it.length*yt/mt):0;it=it.substr(0,gt),mt=de(it,ct)}return it===""&&(it=ft.placeholder),it}function Ge(it,ft,rt,ct){for(var yt=0,mt=0,ht=it.length;mtWt)it="",mt=[];else if(Zt!=null)for(var en=Ne(Zt-(rt?rt[1]+rt[3]:0),ft,ct.ellipsis,{minChar:ct.minChar,placeholder:ct.placeholder}),dn=0,Lt=mt.length;dnct&&qe(rt,it.substring(ct,mt)),qe(rt,yt[2],yt[1]),ct=te.lastIndex}ctan)return{lines:[],width:0,height:0};Gt.textWidth=de(Gt.text,Yt);var At=It.textWidth,Xt=At==null||At==="auto";if(typeof At=="string"&&At.charAt(At.length-1)==="%")Gt.percentWidth=At,Zt.push(Gt),At=0;else{if(Xt){At=Gt.textWidth;var Ft=It.textBackgroundColor,Mt=Ft&&Ft.image;Mt&&(Mt=Pe.findExistImage(Mt),Pe.isImageReady(Mt)&&(At=Math.max(At,Mt.width*vt/Mt.height)))}var ln=St?St[1]+St[3]:0;At+=ln;var Dn=Lt!=null?Lt-sn:null;Dn!=null&&Dn4){console.warn("Support at most 4 cascade");continue}an.shadowCascade>1&&(dn=an.shadowCascade),this.renderDirectionalLightShadow(lt,it,ft,an,this._opaqueCasters,Zt,Wt,gt)}else an instanceof te.a?this.renderSpotLightShadow(lt,it,an,this._opaqueCasters,ht,mt):an instanceof le.a&&this.renderPointLightShadow(lt,it,an,this._opaqueCasters,en);this._shadowMapNumber[an.type]++}for(var rn in this._shadowMapNumber)for(var Mn=this._shadowMapNumber[rn],Bn=rn+"_SHADOWMAP_COUNT",Lt=0;Lt0?tn.define("fragment",Bn,Mn):tn.isDefined("fragment",Bn)&&tn.undefine("fragment",Bn))}for(var Lt=0;Lt0){var St=gt.map(It);if(Gt.directionalLightShadowMaps={value:gt,type:"tv"},Gt.directionalLightMatrices={value:Wt,type:"m4v"},Gt.directionalLightShadowMapSizes={value:St,type:"1fv"},dn){var Yt=Zt.slice(),vt=Zt.slice();Yt.pop(),vt.shift(),Yt.reverse(),vt.reverse(),Wt.reverse(),Gt.shadowCascadeClipsNear={value:Yt,type:"1fv"},Gt.shadowCascadeClipsFar={value:vt,type:"1fv"}}}if(mt.length>0){var At=mt.map(It),Gt=it.shadowUniforms;Gt.spotLightShadowMaps={value:mt,type:"tv"},Gt.spotLightMatrices={value:ht,type:"m4v"},Gt.spotLightShadowMapSizes={value:At,type:"1fv"}}en.length>0&&(Gt.pointLightShadowMaps={value:en,type:"tv"})},renderDirectionalLightShadow:function(){var lt=new be.a,it=new we.a,ft=new Ee.a,rt=new we.a,ct=new we.a,yt=new we.a,mt=new we.a;return function(ht,gt,Wt,Zt,en,dn,Lt,an){var rn=this._getDepthMaterial(Zt),Mn={getMaterial:function(xr){return xr.shadowDepthMaterial||rn},sortCompare:pe.a.opaqueSortCompare};if(!gt.viewBoundingBoxLastFrame.isFinite()){var Bn=gt.getBoundingBox();gt.viewBoundingBoxLastFrame.copy(Bn).applyTransform(Wt.viewMatrix)}var sn=Math.min(-gt.viewBoundingBoxLastFrame.min.z,Wt.far),tn=Math.max(-gt.viewBoundingBoxLastFrame.max.z,Wt.near),Gt=this._getDirectionalLightCamera(Zt,gt,Wt),It=yt.array;mt.copy(Gt.projectionMatrix),Qe.invert(ct.array,Gt.worldTransform.array),Qe.multiply(ct.array,ct.array,Wt.worldTransform.array),Qe.multiply(It,mt.array,ct.array);for(var St=[],Yt=Wt instanceof xe.a,vt=(Wt.near+Wt.far)/(Wt.near-Wt.far),At=2*Wt.near*Wt.far/(Wt.near-Wt.far),Xt=0;Xt<=Zt.shadowCascade;Xt++){var Ft=tn*Math.pow(sn/tn,Xt/Zt.shadowCascade),Mt=tn+(sn-tn)*Xt/Zt.shadowCascade,ln=Ft*Zt.cascadeSplitLogFactor+Mt*(1-Zt.cascadeSplitLogFactor);St.push(ln),dn.push(-(-ln*vt+At)/-ln)}var Dn=this._getTexture(Zt,Zt.shadowCascade);an.push(Dn);var Hn=ht.viewport,Vn=ht.gl;this._frameBuffer.attach(Dn),this._frameBuffer.bind(ht),Vn.clear(Vn.COLOR_BUFFER_BIT|Vn.DEPTH_BUFFER_BIT);for(var Xt=0;Xt=0||(this.nodes.push(Ee),this._dirty=!0)},removeNode:function(Ee){typeof Ee=="string"&&(Ee=this.getNodeByName(Ee));var be=this.nodes.indexOf(Ee);be>=0&&(this.nodes.splice(be,1),this._dirty=!0)},getNodeByName:function(Ee){for(var be=0;be=we.COLOR_ATTACHMENT0&&le<=we.COLOR_ATTACHMENT0+8&&de.push(le);oe.drawBuffersEXT(de)}be.saveClear(),be.clearBit=Pe.a.DEPTH_BUFFER_BIT|Pe.a.COLOR_BUFFER_BIT,pe=be.render(this.scene,this.camera,!this.autoUpdateScene,this.preZ),be.restoreClear(),ye.unbind(be)}this.trigger("afterrender",pe),this._rendering=!1,this._rendered=!0}});Fe.a=Ee},function(He,Fe,Ce){"use strict";var _e=Ce(42),Pe=_e.a.extend(function(){return{texture:null,outputs:{color:{}}}},function(){},{getOutput:function(ge,Ee){return this.texture},beforeFrame:function(){},afterFrame:function(){}});Fe.a=Pe},function(He,Fe,Ce){"use strict";var _e=Ce(14),Pe=Ce(42),ge=Pe.a.extend(function(){return{name:"",inputs:{},outputs:null,shader:"",inputLinks:{},outputLinks:{},pass:null,_prevOutputTextures:{},_outputTextures:{},_outputReferences:{},_rendering:!1,_rendered:!1,_compositor:null}},function(){var Ee=new _e.a({fragment:this.shader});this.pass=Ee},{render:function(Ee,be){this.trigger("beforerender",Ee),this._rendering=!0;var we=Ee.gl;for(var pe in this.inputLinks){var ye=this.inputLinks[pe],Se=ye.node.getOutput(Ee,ye.pin);this.pass.setUniform(pe,Se)}if(!this.outputs)this.pass.outputs=null,this._compositor.getFrameBuffer().unbind(Ee),this.pass.render(Ee,be);else{this.pass.outputs={};var ce={};for(var te in this.outputs){var ne=this.updateParameter(te,Ee);isNaN(ne.width)&&this.updateParameter(te,Ee);var le=this.outputs[te],oe=this._compositor.allocateTexture(ne);this._outputTextures[te]=oe;var de=le.attachment||we.COLOR_ATTACHMENT0;typeof de=="string"&&(de=we[de]),ce[de]=oe}this._compositor.getFrameBuffer().bind(Ee);for(var de in ce)this._compositor.getFrameBuffer().attach(ce[de],de);this.pass.render(Ee),this._compositor.getFrameBuffer().updateMipmap(Ee.gl)}for(var pe in this.inputLinks){var ye=this.inputLinks[pe];ye.node.removeReference(ye.pin)}this._rendering=!1,this._rendered=!0,this.trigger("afterrender",Ee)},updateParameter:function(Ee,be){var we=this.outputs[Ee],pe=we.parameters,ye=we._parametersCopy;if(ye||(ye=we._parametersCopy={}),pe)for(var Se in pe)Se!=="width"&&Se!=="height"&&(ye[Se]=pe[Se]);var ce,te;return pe.width instanceof Function?ce=pe.width.call(this,be):ce=pe.width,pe.height instanceof Function?te=pe.height.call(this,be):te=pe.height,(ye.width!==ce||ye.height!==te)&&this._outputTextures[Ee]&&this._outputTextures[Ee].dispose(be),ye.width=ce,ye.height=te,ye},setParameter:function(Ee,be){this.pass.setUniform(Ee,be)},getParameter:function(Ee){return this.pass.getUniform(Ee)},setParameters:function(Ee){for(var be in Ee)this.setParameter(be,Ee[be])},define:function(Ee,be){this.pass.material.define("fragment",Ee,be)},undefine:function(Ee){this.pass.material.undefine("fragment",Ee)},removeReference:function(Ee){if(this._outputReferences[Ee]--,this._outputReferences[Ee]===0){var be=this.outputs[Ee];be.keepLastFrame?(this._prevOutputTextures[Ee]&&this._compositor.releaseTexture(this._prevOutputTextures[Ee]),this._prevOutputTextures[Ee]=this._outputTextures[Ee]):this._compositor.releaseTexture(this._outputTextures[Ee])}},clear:function(){Pe.a.prototype.clear.call(this),this.pass.material.disableTexturesAll()}});Fe.a=ge},function(He,Fe,Ce){"use strict";var _e=Ce(9),Pe=Ce(4),ge=Ce(5),Ee=Ce(6),be=Ce(14),we=Ce(7),pe=Ce(10),ye=Ce(43),Se=Ce(163);we.a.import(Se.a);function ce(oe){for(var de=new Uint8Array(oe*oe*4),he=0,ie=new Pe.a,ue=0;ue=0||(this.nodes.push(Ee),this._dirty=!0)},removeNode:function(Ee){typeof Ee=="string"&&(Ee=this.getNodeByName(Ee));var be=this.nodes.indexOf(Ee);be>=0&&(this.nodes.splice(be,1),this._dirty=!0)},getNodeByName:function(Ee){for(var be=0;be=we.COLOR_ATTACHMENT0&&le<=we.COLOR_ATTACHMENT0+8&&de.push(le);oe.drawBuffersEXT(de)}be.saveClear(),be.clearBit=Pe.a.DEPTH_BUFFER_BIT|Pe.a.COLOR_BUFFER_BIT,pe=be.render(this.scene,this.camera,!this.autoUpdateScene,this.preZ),be.restoreClear(),ye.unbind(be)}this.trigger("afterrender",pe),this._rendering=!1,this._rendered=!0}});Fe.a=Ee},function(He,Fe,Ce){"use strict";var _e=Ce(42),Pe=_e.a.extend(function(){return{texture:null,outputs:{color:{}}}},function(){},{getOutput:function(ge,Ee){return this.texture},beforeFrame:function(){},afterFrame:function(){}});Fe.a=Pe},function(He,Fe,Ce){"use strict";var _e=Ce(14),Pe=Ce(42),ge=Pe.a.extend(function(){return{name:"",inputs:{},outputs:null,shader:"",inputLinks:{},outputLinks:{},pass:null,_prevOutputTextures:{},_outputTextures:{},_outputReferences:{},_rendering:!1,_rendered:!1,_compositor:null}},function(){var Ee=new _e.a({fragment:this.shader});this.pass=Ee},{render:function(Ee,be){this.trigger("beforerender",Ee),this._rendering=!0;var we=Ee.gl;for(var pe in this.inputLinks){var ye=this.inputLinks[pe],Se=ye.node.getOutput(Ee,ye.pin);this.pass.setUniform(pe,Se)}if(!this.outputs)this.pass.outputs=null,this._compositor.getFrameBuffer().unbind(Ee),this.pass.render(Ee,be);else{this.pass.outputs={};var ce={};for(var te in this.outputs){var ne=this.updateParameter(te,Ee);isNaN(ne.width)&&this.updateParameter(te,Ee);var le=this.outputs[te],oe=this._compositor.allocateTexture(ne);this._outputTextures[te]=oe;var de=le.attachment||we.COLOR_ATTACHMENT0;typeof de=="string"&&(de=we[de]),ce[de]=oe}this._compositor.getFrameBuffer().bind(Ee);for(var de in ce)this._compositor.getFrameBuffer().attach(ce[de],de);this.pass.render(Ee),this._compositor.getFrameBuffer().updateMipmap(Ee.gl)}for(var pe in this.inputLinks){var ye=this.inputLinks[pe];ye.node.removeReference(ye.pin)}this._rendering=!1,this._rendered=!0,this.trigger("afterrender",Ee)},updateParameter:function(Ee,be){var we=this.outputs[Ee],pe=we.parameters,ye=we._parametersCopy;if(ye||(ye=we._parametersCopy={}),pe)for(var Se in pe)Se!=="width"&&Se!=="height"&&(ye[Se]=pe[Se]);var ce,te;return pe.width instanceof Function?ce=pe.width.call(this,be):ce=pe.width,pe.height instanceof Function?te=pe.height.call(this,be):te=pe.height,(ye.width!==ce||ye.height!==te)&&this._outputTextures[Ee]&&this._outputTextures[Ee].dispose(be),ye.width=ce,ye.height=te,ye},setParameter:function(Ee,be){this.pass.setUniform(Ee,be)},getParameter:function(Ee){return this.pass.getUniform(Ee)},setParameters:function(Ee){for(var be in Ee)this.setParameter(be,Ee[be])},define:function(Ee,be){this.pass.material.define("fragment",Ee,be)},undefine:function(Ee){this.pass.material.undefine("fragment",Ee)},removeReference:function(Ee){if(this._outputReferences[Ee]--,this._outputReferences[Ee]===0){var be=this.outputs[Ee];be.keepLastFrame?(this._prevOutputTextures[Ee]&&this._compositor.releaseTexture(this._prevOutputTextures[Ee]),this._prevOutputTextures[Ee]=this._outputTextures[Ee]):this._compositor.releaseTexture(this._outputTextures[Ee])}},clear:function(){Pe.a.prototype.clear.call(this),this.pass.material.disableTexturesAll()}});Fe.a=ge},function(He,Fe,Ce){"use strict";var _e=Ce(9),Pe=Ce(4),ge=Ce(5),Ee=Ce(6),be=Ce(14),we=Ce(7),pe=Ce(10),ye=Ce(43),Se=Ce(163);we.a.import(Se.a);function ce(oe){for(var de=new Uint8Array(oe*oe*4),he=0,ie=new Pe.a,ue=0;ue=this._haltonSequence.length},render:function(ye,Se,ce){var te=this._blendPass;this._frame===0?(te.setUniform("weight1",0),te.setUniform("weight2",1)):(te.setUniform("weight1",.9),te.setUniform("weight2",.1)),te.setUniform("texture1",this._prevFrameTex),te.setUniform("texture2",Se||this._sourceTex),this._blendFb.attach(this._outputTex),this._blendFb.bind(ye),te.render(ye),this._blendFb.unbind(ye),ce||(this._outputPass.setUniform("texture",this._outputTex),this._outputPass.render(ye));var ne=this._prevFrameTex;this._prevFrameTex=this._outputTex,this._outputTex=ne,this._frame++},dispose:function(ye){this._sourceFb.dispose(ye),this._blendFb.dispose(ye),this._prevFrameTex.dispose(ye),this._outputTex.dispose(ye),this._sourceTex.dispose(ye),this._outputPass.dispose(ye),this._blendPass.dispose(ye)}},Fe.a=pe},function(He,Fe,Ce){"use strict";var _e=Ce(0),Pe=Ce.n(_e),ge=Ce(184),Ee=Ce(185),be=Ce(82);Pe.a.registerAction({type:"geo3DChangeCamera",event:"geo3dcamerachanged",update:"series:updateCamera"},function(we,pe){pe.eachComponent({mainType:"geo3D",query:we},function(ye){ye.setView(we)})})},function(He,Fe,Ce){"use strict";var _e=Ce(0),Pe=Ce.n(_e),ge=Ce(38),Ee=Ce(31),be=Ce(32),we=Ce(26),pe=Ce(80),ye=Pe.a.extendComponentModel({type:"geo3D",layoutMode:"box",coordinateSystem:null,optionUpdated:function(){var ce=this.option;ce.regions=this.getFilledRegions(ce.regions,ce.map);var te=Pe.a.helper.completeDimensions(["value"],ce.data,{encodeDef:this.get("encode"),dimsDef:this.get("dimensions")}),ne=new Pe.a.List(te,this);ne.initData(ce.regions);var le={};ne.each(function(oe){var de=ne.getName(oe),he=ne.getItemModel(oe);le[de]=he}),this._regionModelMap=le,this._data=ne},getData:function(){return this._data},getRegionModel:function(ce){var te=this.getData().getName(ce);return this._regionModelMap[te]||new Pe.a.Model(null,this)},getRegionPolygonCoords:function(ce){var te=this.getData().getName(ce),ne=this.coordinateSystem.getRegion(te);return ne?ne.geometries:[]},getFormattedLabel:function(ce,te){var ne=this._data.getName(ce),le=this.getRegionModel(ne),oe=le.get(te==="normal"?["label","formatter"]:["emphasis","label","formatter"]);oe==null&&(oe=le.get(["label","formatter"]));var de={name:ne};if(typeof oe=="function")return de.status=te,oe(de);if(typeof oe=="string"){var he=de.seriesName;return oe.replace("{a}",he!=null?he:"")}else return ne},defaultOption:{regions:[]}});Pe.a.util.merge(ye.prototype,pe.a),Pe.a.util.merge(ye.prototype,ge.a),Pe.a.util.merge(ye.prototype,Ee.a),Pe.a.util.merge(ye.prototype,be.a),Pe.a.util.merge(ye.prototype,we.a);var Se=ye},function(He,Fe,Ce){"use strict";var _e=Ce(59),Pe=Ce(0),ge=Ce.n(Pe),Ee=Ce(2),be=Ce(39),we=Ce(34),pe=ge.a.extendComponentView({type:"geo3D",__ecgl__:!0,init:function(ye,Se){this._geo3DBuilder=new _e.a(Se),this.groupGL=new Ee.a.Node,this._lightRoot=new Ee.a.Node,this._sceneHelper=new we.a(this._lightRoot),this._sceneHelper.initLight(this._lightRoot),this._control=new be.a({zr:Se.getZr()}),this._control.init()},render:function(ye,Se,ce){this.groupGL.add(this._geo3DBuilder.rootNode);var te=ye.coordinateSystem;if(!(!te||!te.viewGL)){te.viewGL.add(this._lightRoot),ye.get("show")?te.viewGL.add(this.groupGL):te.viewGL.remove(this.groupGL);var ne=this._control;ne.setViewGL(te.viewGL);var le=ye.getModel("viewControl");ne.setFromViewControlModel(le,0),this._sceneHelper.setScene(te.viewGL.scene),this._sceneHelper.updateLight(ye),te.viewGL.setPostEffect(ye.getModel("postEffect"),ce),te.viewGL.setTemporalSuperSampling(ye.getModel("temporalSuperSampling")),this._geo3DBuilder.update(ye,Se,ce,0,ye.getData().count());var oe=te.viewGL.isLinearSpace()?"define":"undefine";this._geo3DBuilder.rootNode.traverse(function(de){de.material&&de.material[oe]("fragment","SRGB_DECODE")}),ne.off("update"),ne.on("update",function(){ce.dispatchAction({type:"geo3DChangeCamera",alpha:ne.getAlpha(),beta:ne.getBeta(),distance:ne.getDistance(),center:ne.getCenter(),from:this.uid,geo3DId:ye.id})})}},afterRender:function(ye,Se,ce,te){var ne=te.renderer;this._sceneHelper.updateAmbientCubemap(ne,ye,ce),this._sceneHelper.updateSkybox(ne,ye,ce)},dispose:function(){this._control.dispose()}})},function(He,Fe,Ce){"use strict";Fe.a=_e;function _e(qe,ut,at){at=at||2;var ft=ut&&ut.length,rt=ft?ut[0]*at:qe.length,ct=Pe(qe,0,rt,at,!0),yt=[];if(!ct)return yt;var mt,ht,gt,Wt,Zt,en,dn;if(ft&&(ct=Se(qe,ut,ct,at)),qe.length>80*at){mt=gt=qe[0],ht=Wt=qe[1];for(var Lt=at;Ltgt&&(gt=Zt),en>Wt&&(Wt=en);dn=Math.max(gt-mt,Wt-ht)}return Ee(ct,yt,at,mt,ht,dn),yt}function Pe(qe,ut,at,ft,rt){var ct,yt;if(rt===$e(qe,ut,at,ft)>0)for(ct=ut;ct=ut;ct-=ft)yt=Xe(ct,qe[ct],qe[ct+1],yt);return yt&&xe(yt,yt.next)&&(Qe(yt),yt=yt.next),yt}function ge(qe,ut){if(!qe)return qe;ut||(ut=qe);var at=qe,ft;do if(ft=!1,!at.steiner&&(xe(at,at.next)||ve(at.prev,at,at.next)===0)){if(Qe(at),at=ut=at.prev,at===at.next)return null;ft=!0}else at=at.next;while(ft||at!==ut);return ut}function Ee(qe,ut,at,ft,rt,ct,yt){if(qe){!yt&&ct&&le(qe,ft,rt,ct);for(var mt=qe,ht,gt;qe.prev!==qe.next;){if(ht=qe.prev,gt=qe.next,ct?we(qe,ft,rt,ct):be(qe)){ut.push(ht.i/at),ut.push(qe.i/at),ut.push(gt.i/at),Qe(qe),qe=gt.next,mt=gt.next;continue}if(qe=gt,qe===mt){yt?yt===1?(qe=pe(qe,ut,at),Ee(qe,ut,at,ft,rt,ct,2)):yt===2&&ye(qe,ut,at,ft,rt,ct):Ee(ge(qe),ut,at,ft,rt,ct,1);break}}}}function be(qe){var ut=qe.prev,at=qe,ft=qe.next;if(ve(ut,at,ft)>=0)return!1;for(var rt=qe.next.next;rt!==qe.prev;){if(ie(ut.x,ut.y,at.x,at.y,ft.x,ft.y,rt.x,rt.y)&&ve(rt.prev,rt,rt.next)>=0)return!1;rt=rt.next}return!0}function we(qe,ut,at,ft){var rt=qe.prev,ct=qe,yt=qe.next;if(ve(rt,ct,yt)>=0)return!1;for(var mt=rt.xct.x?rt.x>yt.x?rt.x:yt.x:ct.x>yt.x?ct.x:yt.x,Wt=rt.y>ct.y?rt.y>yt.y?rt.y:yt.y:ct.y>yt.y?ct.y:yt.y,Zt=de(mt,ht,ut,at,ft),en=de(gt,Wt,ut,at,ft),dn=qe.nextZ;dn&&dn.z<=en;){if(dn!==qe.prev&&dn!==qe.next&&ie(rt.x,rt.y,ct.x,ct.y,yt.x,yt.y,dn.x,dn.y)&&ve(dn.prev,dn,dn.next)>=0)return!1;dn=dn.nextZ}for(dn=qe.prevZ;dn&&dn.z>=Zt;){if(dn!==qe.prev&&dn!==qe.next&&ie(rt.x,rt.y,ct.x,ct.y,yt.x,yt.y,dn.x,dn.y)&&ve(dn.prev,dn,dn.next)>=0)return!1;dn=dn.prevZ}return!0}function pe(qe,ut,at){var ft=qe;do{var rt=ft.prev,ct=ft.next.next;!xe(rt,ct)&&De(rt,ft,ft.next,ct)&&Ne(rt,ct)&&Ne(ct,rt)&&(ut.push(rt.i/at),ut.push(ft.i/at),ut.push(ct.i/at),Qe(ft),Qe(ft.next),ft=qe=ct),ft=ft.next}while(ft!==qe);return ft}function ye(qe,ut,at,ft,rt,ct){var yt=qe;do{for(var mt=yt.next.next;mt!==yt.prev;){if(yt.i!==mt.i&&ue(yt,mt)){var ht=Ge(yt,mt);yt=ge(yt,yt.next),ht=ge(ht,ht.next),Ee(yt,ut,at,ft,rt,ct),Ee(ht,ut,at,ft,rt,ct);return}mt=mt.next}yt=yt.next}while(yt!==qe)}function Se(qe,ut,at,ft){var rt=[],ct,yt,mt,ht,gt;for(ct=0,yt=ut.length;ct=at.next.y&&at.next.y!==at.y){var mt=at.x+(rt-at.y)*(at.next.x-at.x)/(at.next.y-at.y);if(mt<=ft&&mt>ct){if(ct=mt,mt===ft){if(rt===at.y)return at;if(rt===at.next.y)return at.next}yt=at.x=at.x&&at.x>=gt&&ft!==at.x&&ie(rtyt.x)&&Ne(at,qe)&&(yt=at,Zt=en)),at=at.next;return yt}function le(qe,ut,at,ft){var rt=qe;do rt.z===null&&(rt.z=de(rt.x,rt.y,ut,at,ft)),rt.prevZ=rt.prev,rt.nextZ=rt.next,rt=rt.next;while(rt!==qe);rt.prevZ.nextZ=null,rt.prevZ=null,oe(rt)}function oe(qe){var ut,at,ft,rt,ct,yt,mt,ht,gt=1;do{for(at=qe,qe=null,ct=null,yt=0;at;){for(yt++,ft=at,mt=0,ut=0;ut0||ht>0&&ft;)mt!==0&&(ht===0||!ft||at.z<=ft.z)?(rt=at,at=at.nextZ,mt--):(rt=ft,ft=ft.nextZ,ht--),ct?ct.nextZ=rt:qe=rt,rt.prevZ=ct,ct=rt;at=ft}ct.nextZ=null,gt*=2}while(yt>1);return qe}function de(qe,ut,at,ft,rt){return qe=32767*(qe-at)/rt,ut=32767*(ut-ft)/rt,qe=(qe|qe<<8)&16711935,qe=(qe|qe<<4)&252645135,qe=(qe|qe<<2)&858993459,qe=(qe|qe<<1)&1431655765,ut=(ut|ut<<8)&16711935,ut=(ut|ut<<4)&252645135,ut=(ut|ut<<2)&858993459,ut=(ut|ut<<1)&1431655765,qe|ut<<1}function he(qe){var ut=qe,at=qe;do ut.x=0&&(qe-yt)*(ft-mt)-(at-yt)*(ut-mt)>=0&&(at-yt)*(ct-mt)-(rt-yt)*(ft-mt)>=0}function ue(qe,ut){return qe.next.i!==ut.i&&qe.prev.i!==ut.i&&!Re(qe,ut)&&Ne(qe,ut)&&Ne(ut,qe)&&Ue(qe,ut)}function ve(qe,ut,at){return(ut.y-qe.y)*(at.x-ut.x)-(ut.x-qe.x)*(at.y-ut.y)}function xe(qe,ut){return qe.x===ut.x&&qe.y===ut.y}function De(qe,ut,at,ft){return xe(qe,ut)&&xe(at,ft)||xe(qe,ft)&&xe(at,ut)?!0:ve(qe,ut,at)>0!=ve(qe,ut,ft)>0&&ve(at,ft,qe)>0!=ve(at,ft,ut)>0}function Re(qe,ut){var at=qe;do{if(at.i!==qe.i&&at.next.i!==qe.i&&at.i!==ut.i&&at.next.i!==ut.i&&De(at,at.next,qe,ut))return!0;at=at.next}while(at!==qe);return!1}function Ne(qe,ut){return ve(qe.prev,qe,qe.next)<0?ve(qe,ut,qe.next)>=0&&ve(qe,qe.prev,ut)>=0:ve(qe,ut,qe.prev)<0||ve(qe,qe.next,ut)<0}function Ue(qe,ut){var at=qe,ft=!1,rt=(qe.x+ut.x)/2,ct=(qe.y+ut.y)/2;do at.y>ct!=at.next.y>ct&&at.next.y!==at.y&&rt<(at.next.x-at.x)*(ct-at.y)/(at.next.y-at.y)+at.x&&(ft=!ft),at=at.next;while(at!==qe);return ft}function Ge(qe,ut){var at=new nt(qe.i,qe.x,qe.y),ft=new nt(ut.i,ut.x,ut.y),rt=qe.next,ct=ut.prev;return qe.next=ut,ut.prev=qe,at.next=rt,rt.prev=at,ft.next=at,at.prev=ft,ct.next=ft,ft.prev=ct,ft}function Xe(qe,ut,at,ft){var rt=new nt(qe,ut,at);return ft?(rt.next=ft.next,rt.prev=ft,ft.next.prev=rt,ft.next=rt):(rt.prev=rt,rt.next=rt),rt}function Qe(qe){qe.next.prev=qe.prev,qe.prev.next=qe.next,qe.prevZ&&(qe.prevZ.nextZ=qe.nextZ),qe.nextZ&&(qe.nextZ.prevZ=qe.prevZ)}function nt(qe,ut,at){this.i=qe,this.x=ut,this.y=at,this.prev=null,this.next=null,this.z=null,this.prevZ=null,this.nextZ=null,this.steiner=!1}_e.deviation=function(qe,ut,at,ft){var rt=ut&&ut.length,ct=rt?ut[0]*at:qe.length,yt=Math.abs($e(qe,0,ct,at));if(rt)for(var mt=0,ht=ut.length;mt0},_displacementChanged:!0,_displacementScale:0,updateDisplacementHash:function(){var ce=this.getDisplacementTexture(),te=this.getDisplacemenScale();this._displacementChanged=this._displacementTexture!==ce||this._displacementScale!==te,this._displacementTexture=ce,this._displacementScale=te},isDisplacementChanged:function(){return this._displacementChanged}});Pe.a.util.merge(ye.prototype,ge.a),Pe.a.util.merge(ye.prototype,Ee.a),Pe.a.util.merge(ye.prototype,be.a),Pe.a.util.merge(ye.prototype,we.a);var Se=ye},function(He,Fe,Ce){"use strict";var _e=Ce(0),Pe=Ce.n(_e),ge=Ce(2),Ee=Ce(39),be=Ce(34),we=Ce(192),pe=Ce(3),ye=Pe.a.extendComponentView({type:"globe",__ecgl__:!0,_displacementScale:0,init:function(Se,ce){this.groupGL=new ge.a.Node,this._sphereGeometry=new ge.a.SphereGeometry({widthSegments:200,heightSegments:100,dynamic:!0}),this._overlayGeometry=new ge.a.SphereGeometry({widthSegments:80,heightSegments:40}),this._planeGeometry=new ge.a.PlaneGeometry,this._earthMesh=new ge.a.Mesh({renderNormal:!0}),this._lightRoot=new ge.a.Node,this._sceneHelper=new be.a,this._sceneHelper.initLight(this._lightRoot),this.groupGL.add(this._earthMesh),this._control=new Ee.a({zr:ce.getZr()}),this._control.init(),this._layerMeshes={}},render:function(Se,ce,te){var ne=Se.coordinateSystem,le=Se.get("shading");ne.viewGL.add(this._lightRoot),Se.get("show")?ne.viewGL.add(this.groupGL):ne.viewGL.remove(this.groupGL),this._sceneHelper.setScene(ne.viewGL.scene),ne.viewGL.setPostEffect(Se.getModel("postEffect"),te),ne.viewGL.setTemporalSuperSampling(Se.getModel("temporalSuperSampling"));var oe=this._earthMesh;oe.geometry=this._sphereGeometry;var de="ecgl."+le;(!oe.material||oe.material.shader.name!==de)&&(oe.material=ge.a.createMaterial(de)),ge.a.setMaterialFromModel(le,oe.material,Se,te),["roughnessMap","metalnessMap","detailMap","normalMap"].forEach(function(ve){var xe=oe.material.get(ve);xe&&(xe.flipY=!1)}),oe.material.set("color",ge.a.parseColor(Se.get("baseColor")));var he=ne.radius*.99;oe.scale.set(he,he,he);var ie=oe.material.setTextureImage("diffuseMap",Se.get("baseTexture"),te,{flipY:!1,anisotropic:8});ie&&ie.surface&&ie.surface.attachToMesh(oe);var ue=oe.material.setTextureImage("bumpMap",Se.get("heightTexture"),te,{flipY:!1,anisotropic:8});ue&&ue.surface&&ue.surface.attachToMesh(oe),oe.material[Se.get("postEffect.enable")?"define":"undefine"]("fragment","SRGB_DECODE"),this._updateLight(Se,te),this._displaceVertices(Se,te),this._updateViewControl(Se,te),this._updateLayers(Se,te)},afterRender:function(Se,ce,te,ne){var le=ne.renderer;this._sceneHelper.updateAmbientCubemap(le,Se,te),this._sceneHelper.updateSkybox(le,Se,te)},_updateLayers:function(Se,ce){var te=Se.coordinateSystem,ne=Se.get("layers"),le=te.radius,oe=[],de=[],he=[],ie=[];Pe.a.util.each(ne,function(Re){var Ne=new Pe.a.Model(Re),Ue=Ne.get("type"),Ge=ge.a.loadTexture(Ne.get("texture"),ce,{flipY:!1,anisotropic:8});if(Ge.surface&&Ge.surface.attachToMesh(this._earthMesh),Ue==="blend"){var Xe=Ne.get("blendTo"),Qe=pe.a.firstNotNull(Ne.get("intensity"),1);Xe==="emission"?(he.push(Ge),ie.push(Qe)):(oe.push(Ge),de.push(Qe))}else{var nt=Ne.get("id"),$e=this._layerMeshes[nt];$e||($e=this._layerMeshes[nt]=new ge.a.Mesh({geometry:this._overlayGeometry,castShadow:!1,ignorePicking:!0}));var qe=Ne.get("shading");qe==="lambert"?($e.material=$e.__lambertMaterial||new ge.a.Material({autoUpdateTextureStatus:!1,shader:ge.a.createShader("ecgl.lambert"),transparent:!0,depthMask:!1}),$e.__lambertMaterial=$e.material):($e.material=$e.__colorMaterial||new ge.a.Material({autoUpdateTextureStatus:!1,shader:ge.a.createShader("ecgl.color"),transparent:!0,depthMask:!1}),$e.__colorMaterial=$e.material),$e.material.enableTexture("diffuseMap");var ut=Ne.get("distance"),at=le+(ut==null?te.radius/100:ut);$e.scale.set(at,at,at),le=at;var ft=this._blankTexture||(this._blankTexture=ge.a.createBlankTexture("rgba(255, 255, 255, 0)"));$e.material.set("diffuseMap",ft),ge.a.loadTexture(Ne.get("texture"),ce,{flipY:!1,anisotropic:8},function(rt){rt.surface&&rt.surface.attachToMesh($e),$e.material.set("diffuseMap",rt),ce.getZr().refresh()}),Ne.get("show")?this.groupGL.add($e):this.groupGL.remove($e)}},this);var ue=this._earthMesh.material;ue.define("fragment","LAYER_DIFFUSEMAP_COUNT",oe.length),ue.define("fragment","LAYER_EMISSIVEMAP_COUNT",he.length),ue.set("layerDiffuseMap",oe),ue.set("layerDiffuseIntensity",de),ue.set("layerEmissiveMap",he),ue.set("layerEmissionIntensity",ie);var ve=Se.getModel("debug.wireframe");if(ve.get("show")){ue.define("both","WIREFRAME_TRIANGLE");var xe=ge.a.parseColor(ve.get("lineStyle.color")||"rgba(0,0,0,0.5)"),De=pe.a.firstNotNull(ve.get("lineStyle.width"),1);ue.set("wireframeLineWidth",De),ue.set("wireframeLineColor",xe)}else ue.undefine("both","WIREFRAME_TRIANGLE")},_updateViewControl:function(Se,ce){var te=Se.coordinateSystem,ne=Se.getModel("viewControl"),le=te.viewGL.camera,oe=this;function de(){return{type:"globeChangeCamera",alpha:he.getAlpha(),beta:he.getBeta(),distance:he.getDistance()-te.radius,center:he.getCenter(),from:oe.uid,globeId:Se.id}}var he=this._control;he.setViewGL(te.viewGL);var ie=ne.get("targetCoord"),ue,ve;ie!=null&&(ve=ie[0]+90,ue=ie[1]),he.setFromViewControlModel(ne,{baseDistance:te.radius,alpha:ue,beta:ve}),he.off("update"),he.on("update",function(){ce.dispatchAction(de())})},_displaceVertices:function(Se,ce){var te=Se.get("displacementQuality"),ne=Se.get("debug.wireframe.show"),le=Se.coordinateSystem;if(!(!Se.isDisplacementChanged()&&te===this._displacementQuality&&ne===this._showDebugWireframe)){this._displacementQuality=te,this._showDebugWireframe=ne;var oe=this._sphereGeometry,de={low:100,medium:200,high:400,ultra:800}[te]||200,he=de/2;(oe.widthSegments!==de||ne)&&(oe.widthSegments=de,oe.heightSegments=he,oe.build()),this._doDisplaceVertices(oe,le),ne&&oe.generateBarycentric()}},_doDisplaceVertices:function(Se,ce){var te=Se.attributes.position.value,ne=Se.attributes.texcoord0.value,le=Se.__originalPosition;(!le||le.length!==te.length)&&(le=new Float32Array(te.length),le.set(te),Se.__originalPosition=le);for(var oe=ce.displacementWidth,de=ce.displacementHeight,he=ce.displacementData,ie=0;ie=this._haltonSequence.length},render:function(ye,Se,ce){var te=this._blendPass;this._frame===0?(te.setUniform("weight1",0),te.setUniform("weight2",1)):(te.setUniform("weight1",.9),te.setUniform("weight2",.1)),te.setUniform("texture1",this._prevFrameTex),te.setUniform("texture2",Se||this._sourceTex),this._blendFb.attach(this._outputTex),this._blendFb.bind(ye),te.render(ye),this._blendFb.unbind(ye),ce||(this._outputPass.setUniform("texture",this._outputTex),this._outputPass.render(ye));var ne=this._prevFrameTex;this._prevFrameTex=this._outputTex,this._outputTex=ne,this._frame++},dispose:function(ye){this._sourceFb.dispose(ye),this._blendFb.dispose(ye),this._prevFrameTex.dispose(ye),this._outputTex.dispose(ye),this._sourceTex.dispose(ye),this._outputPass.dispose(ye),this._blendPass.dispose(ye)}},Fe.a=pe},function(He,Fe,Ce){"use strict";var _e=Ce(0),Pe=Ce.n(_e),ge=Ce(184),Ee=Ce(185),be=Ce(82);Pe.a.registerAction({type:"geo3DChangeCamera",event:"geo3dcamerachanged",update:"series:updateCamera"},function(we,pe){pe.eachComponent({mainType:"geo3D",query:we},function(ye){ye.setView(we)})})},function(He,Fe,Ce){"use strict";var _e=Ce(0),Pe=Ce.n(_e),ge=Ce(38),Ee=Ce(31),be=Ce(32),we=Ce(26),pe=Ce(80),ye=Pe.a.extendComponentModel({type:"geo3D",layoutMode:"box",coordinateSystem:null,optionUpdated:function(){var ce=this.option;ce.regions=this.getFilledRegions(ce.regions,ce.map);var te=Pe.a.helper.completeDimensions(["value"],ce.data,{encodeDef:this.get("encode"),dimsDef:this.get("dimensions")}),ne=new Pe.a.List(te,this);ne.initData(ce.regions);var le={};ne.each(function(oe){var de=ne.getName(oe),he=ne.getItemModel(oe);le[de]=he}),this._regionModelMap=le,this._data=ne},getData:function(){return this._data},getRegionModel:function(ce){var te=this.getData().getName(ce);return this._regionModelMap[te]||new Pe.a.Model(null,this)},getRegionPolygonCoords:function(ce){var te=this.getData().getName(ce),ne=this.coordinateSystem.getRegion(te);return ne?ne.geometries:[]},getFormattedLabel:function(ce,te){var ne=this._data.getName(ce),le=this.getRegionModel(ne),oe=le.get(te==="normal"?["label","formatter"]:["emphasis","label","formatter"]);oe==null&&(oe=le.get(["label","formatter"]));var de={name:ne};if(typeof oe=="function")return de.status=te,oe(de);if(typeof oe=="string"){var he=de.seriesName;return oe.replace("{a}",he!=null?he:"")}else return ne},defaultOption:{regions:[]}});Pe.a.util.merge(ye.prototype,pe.a),Pe.a.util.merge(ye.prototype,ge.a),Pe.a.util.merge(ye.prototype,Ee.a),Pe.a.util.merge(ye.prototype,be.a),Pe.a.util.merge(ye.prototype,we.a);var Se=ye},function(He,Fe,Ce){"use strict";var _e=Ce(59),Pe=Ce(0),ge=Ce.n(Pe),Ee=Ce(2),be=Ce(39),we=Ce(34),pe=ge.a.extendComponentView({type:"geo3D",__ecgl__:!0,init:function(ye,Se){this._geo3DBuilder=new _e.a(Se),this.groupGL=new Ee.a.Node,this._lightRoot=new Ee.a.Node,this._sceneHelper=new we.a(this._lightRoot),this._sceneHelper.initLight(this._lightRoot),this._control=new be.a({zr:Se.getZr()}),this._control.init()},render:function(ye,Se,ce){this.groupGL.add(this._geo3DBuilder.rootNode);var te=ye.coordinateSystem;if(!(!te||!te.viewGL)){te.viewGL.add(this._lightRoot),ye.get("show")?te.viewGL.add(this.groupGL):te.viewGL.remove(this.groupGL);var ne=this._control;ne.setViewGL(te.viewGL);var le=ye.getModel("viewControl");ne.setFromViewControlModel(le,0),this._sceneHelper.setScene(te.viewGL.scene),this._sceneHelper.updateLight(ye),te.viewGL.setPostEffect(ye.getModel("postEffect"),ce),te.viewGL.setTemporalSuperSampling(ye.getModel("temporalSuperSampling")),this._geo3DBuilder.update(ye,Se,ce,0,ye.getData().count());var oe=te.viewGL.isLinearSpace()?"define":"undefine";this._geo3DBuilder.rootNode.traverse(function(de){de.material&&de.material[oe]("fragment","SRGB_DECODE")}),ne.off("update"),ne.on("update",function(){ce.dispatchAction({type:"geo3DChangeCamera",alpha:ne.getAlpha(),beta:ne.getBeta(),distance:ne.getDistance(),center:ne.getCenter(),from:this.uid,geo3DId:ye.id})})}},afterRender:function(ye,Se,ce,te){var ne=te.renderer;this._sceneHelper.updateAmbientCubemap(ne,ye,ce),this._sceneHelper.updateSkybox(ne,ye,ce)},dispose:function(){this._control.dispose()}})},function(He,Fe,Ce){"use strict";Fe.a=_e;function _e(qe,lt,it){it=it||2;var ft=lt&<.length,rt=ft?lt[0]*it:qe.length,ct=Pe(qe,0,rt,it,!0),yt=[];if(!ct)return yt;var mt,ht,gt,Wt,Zt,en,dn;if(ft&&(ct=Se(qe,lt,ct,it)),qe.length>80*it){mt=gt=qe[0],ht=Wt=qe[1];for(var Lt=it;Ltgt&&(gt=Zt),en>Wt&&(Wt=en);dn=Math.max(gt-mt,Wt-ht)}return Ee(ct,yt,it,mt,ht,dn),yt}function Pe(qe,lt,it,ft,rt){var ct,yt;if(rt===$e(qe,lt,it,ft)>0)for(ct=lt;ct=lt;ct-=ft)yt=Xe(ct,qe[ct],qe[ct+1],yt);return yt&&xe(yt,yt.next)&&(Qe(yt),yt=yt.next),yt}function ge(qe,lt){if(!qe)return qe;lt||(lt=qe);var it=qe,ft;do if(ft=!1,!it.steiner&&(xe(it,it.next)||ve(it.prev,it,it.next)===0)){if(Qe(it),it=lt=it.prev,it===it.next)return null;ft=!0}else it=it.next;while(ft||it!==lt);return lt}function Ee(qe,lt,it,ft,rt,ct,yt){if(qe){!yt&&ct&&le(qe,ft,rt,ct);for(var mt=qe,ht,gt;qe.prev!==qe.next;){if(ht=qe.prev,gt=qe.next,ct?we(qe,ft,rt,ct):be(qe)){lt.push(ht.i/it),lt.push(qe.i/it),lt.push(gt.i/it),Qe(qe),qe=gt.next,mt=gt.next;continue}if(qe=gt,qe===mt){yt?yt===1?(qe=pe(qe,lt,it),Ee(qe,lt,it,ft,rt,ct,2)):yt===2&&ye(qe,lt,it,ft,rt,ct):Ee(ge(qe),lt,it,ft,rt,ct,1);break}}}}function be(qe){var lt=qe.prev,it=qe,ft=qe.next;if(ve(lt,it,ft)>=0)return!1;for(var rt=qe.next.next;rt!==qe.prev;){if(ie(lt.x,lt.y,it.x,it.y,ft.x,ft.y,rt.x,rt.y)&&ve(rt.prev,rt,rt.next)>=0)return!1;rt=rt.next}return!0}function we(qe,lt,it,ft){var rt=qe.prev,ct=qe,yt=qe.next;if(ve(rt,ct,yt)>=0)return!1;for(var mt=rt.xct.x?rt.x>yt.x?rt.x:yt.x:ct.x>yt.x?ct.x:yt.x,Wt=rt.y>ct.y?rt.y>yt.y?rt.y:yt.y:ct.y>yt.y?ct.y:yt.y,Zt=de(mt,ht,lt,it,ft),en=de(gt,Wt,lt,it,ft),dn=qe.nextZ;dn&&dn.z<=en;){if(dn!==qe.prev&&dn!==qe.next&&ie(rt.x,rt.y,ct.x,ct.y,yt.x,yt.y,dn.x,dn.y)&&ve(dn.prev,dn,dn.next)>=0)return!1;dn=dn.nextZ}for(dn=qe.prevZ;dn&&dn.z>=Zt;){if(dn!==qe.prev&&dn!==qe.next&&ie(rt.x,rt.y,ct.x,ct.y,yt.x,yt.y,dn.x,dn.y)&&ve(dn.prev,dn,dn.next)>=0)return!1;dn=dn.prevZ}return!0}function pe(qe,lt,it){var ft=qe;do{var rt=ft.prev,ct=ft.next.next;!xe(rt,ct)&&De(rt,ft,ft.next,ct)&&Ne(rt,ct)&&Ne(ct,rt)&&(lt.push(rt.i/it),lt.push(ft.i/it),lt.push(ct.i/it),Qe(ft),Qe(ft.next),ft=qe=ct),ft=ft.next}while(ft!==qe);return ft}function ye(qe,lt,it,ft,rt,ct){var yt=qe;do{for(var mt=yt.next.next;mt!==yt.prev;){if(yt.i!==mt.i&&ue(yt,mt)){var ht=Ge(yt,mt);yt=ge(yt,yt.next),ht=ge(ht,ht.next),Ee(yt,lt,it,ft,rt,ct),Ee(ht,lt,it,ft,rt,ct);return}mt=mt.next}yt=yt.next}while(yt!==qe)}function Se(qe,lt,it,ft){var rt=[],ct,yt,mt,ht,gt;for(ct=0,yt=lt.length;ct=it.next.y&&it.next.y!==it.y){var mt=it.x+(rt-it.y)*(it.next.x-it.x)/(it.next.y-it.y);if(mt<=ft&&mt>ct){if(ct=mt,mt===ft){if(rt===it.y)return it;if(rt===it.next.y)return it.next}yt=it.x=it.x&&it.x>=gt&&ft!==it.x&&ie(rtyt.x)&&Ne(it,qe)&&(yt=it,Zt=en)),it=it.next;return yt}function le(qe,lt,it,ft){var rt=qe;do rt.z===null&&(rt.z=de(rt.x,rt.y,lt,it,ft)),rt.prevZ=rt.prev,rt.nextZ=rt.next,rt=rt.next;while(rt!==qe);rt.prevZ.nextZ=null,rt.prevZ=null,oe(rt)}function oe(qe){var lt,it,ft,rt,ct,yt,mt,ht,gt=1;do{for(it=qe,qe=null,ct=null,yt=0;it;){for(yt++,ft=it,mt=0,lt=0;lt0||ht>0&&ft;)mt!==0&&(ht===0||!ft||it.z<=ft.z)?(rt=it,it=it.nextZ,mt--):(rt=ft,ft=ft.nextZ,ht--),ct?ct.nextZ=rt:qe=rt,rt.prevZ=ct,ct=rt;it=ft}ct.nextZ=null,gt*=2}while(yt>1);return qe}function de(qe,lt,it,ft,rt){return qe=32767*(qe-it)/rt,lt=32767*(lt-ft)/rt,qe=(qe|qe<<8)&16711935,qe=(qe|qe<<4)&252645135,qe=(qe|qe<<2)&858993459,qe=(qe|qe<<1)&1431655765,lt=(lt|lt<<8)&16711935,lt=(lt|lt<<4)&252645135,lt=(lt|lt<<2)&858993459,lt=(lt|lt<<1)&1431655765,qe|lt<<1}function he(qe){var lt=qe,it=qe;do lt.x=0&&(qe-yt)*(ft-mt)-(it-yt)*(lt-mt)>=0&&(it-yt)*(ct-mt)-(rt-yt)*(ft-mt)>=0}function ue(qe,lt){return qe.next.i!==lt.i&&qe.prev.i!==lt.i&&!Re(qe,lt)&&Ne(qe,lt)&&Ne(lt,qe)&&ze(qe,lt)}function ve(qe,lt,it){return(lt.y-qe.y)*(it.x-lt.x)-(lt.x-qe.x)*(it.y-lt.y)}function xe(qe,lt){return qe.x===lt.x&&qe.y===lt.y}function De(qe,lt,it,ft){return xe(qe,lt)&&xe(it,ft)||xe(qe,ft)&&xe(it,lt)?!0:ve(qe,lt,it)>0!=ve(qe,lt,ft)>0&&ve(it,ft,qe)>0!=ve(it,ft,lt)>0}function Re(qe,lt){var it=qe;do{if(it.i!==qe.i&&it.next.i!==qe.i&&it.i!==lt.i&&it.next.i!==lt.i&&De(it,it.next,qe,lt))return!0;it=it.next}while(it!==qe);return!1}function Ne(qe,lt){return ve(qe.prev,qe,qe.next)<0?ve(qe,lt,qe.next)>=0&&ve(qe,qe.prev,lt)>=0:ve(qe,lt,qe.prev)<0||ve(qe,qe.next,lt)<0}function ze(qe,lt){var it=qe,ft=!1,rt=(qe.x+lt.x)/2,ct=(qe.y+lt.y)/2;do it.y>ct!=it.next.y>ct&&it.next.y!==it.y&&rt<(it.next.x-it.x)*(ct-it.y)/(it.next.y-it.y)+it.x&&(ft=!ft),it=it.next;while(it!==qe);return ft}function Ge(qe,lt){var it=new nt(qe.i,qe.x,qe.y),ft=new nt(lt.i,lt.x,lt.y),rt=qe.next,ct=lt.prev;return qe.next=lt,lt.prev=qe,it.next=rt,rt.prev=it,ft.next=it,it.prev=ft,ct.next=ft,ft.prev=ct,ft}function Xe(qe,lt,it,ft){var rt=new nt(qe,lt,it);return ft?(rt.next=ft.next,rt.prev=ft,ft.next.prev=rt,ft.next=rt):(rt.prev=rt,rt.next=rt),rt}function Qe(qe){qe.next.prev=qe.prev,qe.prev.next=qe.next,qe.prevZ&&(qe.prevZ.nextZ=qe.nextZ),qe.nextZ&&(qe.nextZ.prevZ=qe.prevZ)}function nt(qe,lt,it){this.i=qe,this.x=lt,this.y=it,this.prev=null,this.next=null,this.z=null,this.prevZ=null,this.nextZ=null,this.steiner=!1}_e.deviation=function(qe,lt,it,ft){var rt=lt&<.length,ct=rt?lt[0]*it:qe.length,yt=Math.abs($e(qe,0,ct,it));if(rt)for(var mt=0,ht=lt.length;mt0},_displacementChanged:!0,_displacementScale:0,updateDisplacementHash:function(){var ce=this.getDisplacementTexture(),te=this.getDisplacemenScale();this._displacementChanged=this._displacementTexture!==ce||this._displacementScale!==te,this._displacementTexture=ce,this._displacementScale=te},isDisplacementChanged:function(){return this._displacementChanged}});Pe.a.util.merge(ye.prototype,ge.a),Pe.a.util.merge(ye.prototype,Ee.a),Pe.a.util.merge(ye.prototype,be.a),Pe.a.util.merge(ye.prototype,we.a);var Se=ye},function(He,Fe,Ce){"use strict";var _e=Ce(0),Pe=Ce.n(_e),ge=Ce(2),Ee=Ce(39),be=Ce(34),we=Ce(192),pe=Ce(3),ye=Pe.a.extendComponentView({type:"globe",__ecgl__:!0,_displacementScale:0,init:function(Se,ce){this.groupGL=new ge.a.Node,this._sphereGeometry=new ge.a.SphereGeometry({widthSegments:200,heightSegments:100,dynamic:!0}),this._overlayGeometry=new ge.a.SphereGeometry({widthSegments:80,heightSegments:40}),this._planeGeometry=new ge.a.PlaneGeometry,this._earthMesh=new ge.a.Mesh({renderNormal:!0}),this._lightRoot=new ge.a.Node,this._sceneHelper=new be.a,this._sceneHelper.initLight(this._lightRoot),this.groupGL.add(this._earthMesh),this._control=new Ee.a({zr:ce.getZr()}),this._control.init(),this._layerMeshes={}},render:function(Se,ce,te){var ne=Se.coordinateSystem,le=Se.get("shading");ne.viewGL.add(this._lightRoot),Se.get("show")?ne.viewGL.add(this.groupGL):ne.viewGL.remove(this.groupGL),this._sceneHelper.setScene(ne.viewGL.scene),ne.viewGL.setPostEffect(Se.getModel("postEffect"),te),ne.viewGL.setTemporalSuperSampling(Se.getModel("temporalSuperSampling"));var oe=this._earthMesh;oe.geometry=this._sphereGeometry;var de="ecgl."+le;(!oe.material||oe.material.shader.name!==de)&&(oe.material=ge.a.createMaterial(de)),ge.a.setMaterialFromModel(le,oe.material,Se,te),["roughnessMap","metalnessMap","detailMap","normalMap"].forEach(function(ve){var xe=oe.material.get(ve);xe&&(xe.flipY=!1)}),oe.material.set("color",ge.a.parseColor(Se.get("baseColor")));var he=ne.radius*.99;oe.scale.set(he,he,he);var ie=oe.material.setTextureImage("diffuseMap",Se.get("baseTexture"),te,{flipY:!1,anisotropic:8});ie&&ie.surface&&ie.surface.attachToMesh(oe);var ue=oe.material.setTextureImage("bumpMap",Se.get("heightTexture"),te,{flipY:!1,anisotropic:8});ue&&ue.surface&&ue.surface.attachToMesh(oe),oe.material[Se.get("postEffect.enable")?"define":"undefine"]("fragment","SRGB_DECODE"),this._updateLight(Se,te),this._displaceVertices(Se,te),this._updateViewControl(Se,te),this._updateLayers(Se,te)},afterRender:function(Se,ce,te,ne){var le=ne.renderer;this._sceneHelper.updateAmbientCubemap(le,Se,te),this._sceneHelper.updateSkybox(le,Se,te)},_updateLayers:function(Se,ce){var te=Se.coordinateSystem,ne=Se.get("layers"),le=te.radius,oe=[],de=[],he=[],ie=[];Pe.a.util.each(ne,function(Re){var Ne=new Pe.a.Model(Re),ze=Ne.get("type"),Ge=ge.a.loadTexture(Ne.get("texture"),ce,{flipY:!1,anisotropic:8});if(Ge.surface&&Ge.surface.attachToMesh(this._earthMesh),ze==="blend"){var Xe=Ne.get("blendTo"),Qe=pe.a.firstNotNull(Ne.get("intensity"),1);Xe==="emission"?(he.push(Ge),ie.push(Qe)):(oe.push(Ge),de.push(Qe))}else{var nt=Ne.get("id"),$e=this._layerMeshes[nt];$e||($e=this._layerMeshes[nt]=new ge.a.Mesh({geometry:this._overlayGeometry,castShadow:!1,ignorePicking:!0}));var qe=Ne.get("shading");qe==="lambert"?($e.material=$e.__lambertMaterial||new ge.a.Material({autoUpdateTextureStatus:!1,shader:ge.a.createShader("ecgl.lambert"),transparent:!0,depthMask:!1}),$e.__lambertMaterial=$e.material):($e.material=$e.__colorMaterial||new ge.a.Material({autoUpdateTextureStatus:!1,shader:ge.a.createShader("ecgl.color"),transparent:!0,depthMask:!1}),$e.__colorMaterial=$e.material),$e.material.enableTexture("diffuseMap");var lt=Ne.get("distance"),it=le+(lt==null?te.radius/100:lt);$e.scale.set(it,it,it),le=it;var ft=this._blankTexture||(this._blankTexture=ge.a.createBlankTexture("rgba(255, 255, 255, 0)"));$e.material.set("diffuseMap",ft),ge.a.loadTexture(Ne.get("texture"),ce,{flipY:!1,anisotropic:8},function(rt){rt.surface&&rt.surface.attachToMesh($e),$e.material.set("diffuseMap",rt),ce.getZr().refresh()}),Ne.get("show")?this.groupGL.add($e):this.groupGL.remove($e)}},this);var ue=this._earthMesh.material;ue.define("fragment","LAYER_DIFFUSEMAP_COUNT",oe.length),ue.define("fragment","LAYER_EMISSIVEMAP_COUNT",he.length),ue.set("layerDiffuseMap",oe),ue.set("layerDiffuseIntensity",de),ue.set("layerEmissiveMap",he),ue.set("layerEmissionIntensity",ie);var ve=Se.getModel("debug.wireframe");if(ve.get("show")){ue.define("both","WIREFRAME_TRIANGLE");var xe=ge.a.parseColor(ve.get("lineStyle.color")||"rgba(0,0,0,0.5)"),De=pe.a.firstNotNull(ve.get("lineStyle.width"),1);ue.set("wireframeLineWidth",De),ue.set("wireframeLineColor",xe)}else ue.undefine("both","WIREFRAME_TRIANGLE")},_updateViewControl:function(Se,ce){var te=Se.coordinateSystem,ne=Se.getModel("viewControl"),le=te.viewGL.camera,oe=this;function de(){return{type:"globeChangeCamera",alpha:he.getAlpha(),beta:he.getBeta(),distance:he.getDistance()-te.radius,center:he.getCenter(),from:oe.uid,globeId:Se.id}}var he=this._control;he.setViewGL(te.viewGL);var ie=ne.get("targetCoord"),ue,ve;ie!=null&&(ve=ie[0]+90,ue=ie[1]),he.setFromViewControlModel(ne,{baseDistance:te.radius,alpha:ue,beta:ve}),he.off("update"),he.on("update",function(){ce.dispatchAction(de())})},_displaceVertices:function(Se,ce){var te=Se.get("displacementQuality"),ne=Se.get("debug.wireframe.show"),le=Se.coordinateSystem;if(!(!Se.isDisplacementChanged()&&te===this._displacementQuality&&ne===this._showDebugWireframe)){this._displacementQuality=te,this._showDebugWireframe=ne;var oe=this._sphereGeometry,de={low:100,medium:200,high:400,ultra:800}[te]||200,he=de/2;(oe.widthSegments!==de||ne)&&(oe.widthSegments=de,oe.heightSegments=he,oe.build()),this._doDisplaceVertices(oe,le),ne&&oe.generateBarycentric()}},_doDisplaceVertices:function(Se,ce){var te=Se.attributes.position.value,ne=Se.attributes.texcoord0.value,le=Se.__originalPosition;(!le||le.length!==te.length)&&(le=new Float32Array(te.length),le.set(te),Se.__originalPosition=le);for(var oe=ce.displacementWidth,de=ce.displacementHeight,he=ce.displacementData,ie=0;ie0&&ce>0||Se<0&&ce<0)}function pe(ye,Se){var ce=ye.getData(),te=ye.get("barSize");if(te==null){var ne=Se.size,le,oe,de=Se.getAxis("x"),he=Se.getAxis("y");de.type==="category"?le=de.getBandWidth()*.7:le=Math.round(ne[0]/Math.sqrt(ce.count()))*.6,he.type==="category"?oe=he.getBandWidth()*.7:oe=Math.round(ne[1]/Math.sqrt(ce.count()))*.6,te=[le,oe]}else Pe.a.util.isArray(te)||(te=[te,te]);var ie=Se.getAxis("z").scale.getExtent(),ue=we(ie),ve=["x","y","z"].map(function(xe){return ye.coordDimToDataDim(xe)[0]});ce.each(ve,function(xe,De,Re,Ne){var Ue=ce.get(ve[2],Ne,!0),Ge=ce.stackedOn?Ue-Re:ue?0:ie[0],Xe=Se.dataToPoint([xe,De,Ge]),Qe=Se.dataToPoint([xe,De,Ue]),nt=be.dist(Xe,Qe),$e=[0,Qe[1]0&&(nt++,Re[3]<.99&&(Ge=!0))}}),ue.geometry.setBarCount(nt);var Xe=oe.getLayout("orient"),Qe=this._barIndexOfData=new Int32Array(oe.count()),nt=0;oe.each(function(qe){if(!oe.hasValue(qe)){Qe[qe]=-1;return}var ut=oe.getItemLayout(qe),at=ut[0],ft=ut[1],rt=ut[2],ct=qe*4;Re[0]=Ne[ct++],Re[1]=Ne[ct++],Re[2]=Ne[ct++],Re[3]=Ne[ct++],Re[3]>0&&(ie._barMesh.geometry.addBar(at,ft,Xe,rt,Re,qe),Qe[qe]=nt++)}),ue.geometry.dirty(),ue.geometry.updateBoundingBox();var $e=ue.material;$e.transparent=Ge,$e.depthMask=!Ge,ue.geometry.sortTriangles=Ge,this._initHandler(ne,le)},_initHandler:function(ne,le){var oe=ne.getData(),de=this._barMesh,he=ne.coordinateSystem.type==="cartesian3D";de.seriesIndex=ne.seriesIndex;var ie=-1;de.off("mousemove"),de.off("mouseout"),de.on("mousemove",function(ue){var ve=de.geometry.getDataIndexOfVertex(ue.triangle[0]);ve!==ie&&(this._downplay(ie),this._highlight(ve),this._labelsBuilder.updateLabels([ve]),he&&le.dispatchAction({type:"grid3DShowAxisPointer",value:[oe.get("x",ve),oe.get("y",ve),oe.get("z",ve,!0)]})),ie=ve,de.dataIndex=ve},this),de.on("mouseout",function(ue){this._downplay(ie),this._labelsBuilder.updateLabels(),ie=-1,de.dataIndex=-1,he&&le.dispatchAction({type:"grid3DHideAxisPointer"})},this)},_highlight:function(ne){var le=this._data;if(le){var oe=this._barIndexOfData[ne];if(!(oe<0)){var de=le.getItemModel(ne),he=de.getModel("emphasis.itemStyle"),ie=he.get("color"),ue=he.get("opacity");if(ie==null){var ve=le.getItemVisual(ne,"color");ie=Pe.a.color.lift(ve,-.4)}ue==null&&(ue=le.getItemVisual(ne,"opacity"));var xe=ge.a.parseColor(ie);xe[3]*=ue,this._barMesh.geometry.setColor(oe,xe),this._api.getZr().refresh()}}},_downplay:function(ne){var le=this._data;if(le){var oe=this._barIndexOfData[ne];if(!(oe<0)){var de=le.getItemVisual(ne,"color"),he=le.getItemVisual(ne,"opacity"),ie=ge.a.parseColor(de);ie[3]*=he,this._barMesh.geometry.setColor(oe,ie),this._api.getZr().refresh()}}},highlight:function(ne,le,oe,de){this._toggleStatus("highlight",ne,le,oe,de)},downplay:function(ne,le,oe,de){this._toggleStatus("downplay",ne,le,oe,de)},_toggleStatus:function(ne,le,oe,de,he){var ie=le.getData(),ue=Ee.a.queryDataIndex(ie,he),ve=this;ue!=null?Pe.a.util.each(be.a.normalizeToArray(ue),function(xe){ne==="highlight"?this._highlight(xe):this._downplay(xe)},this):ie.each(function(xe){ne==="highlight"?ve._highlight(xe):ve._downplay(xe)})},remove:function(){this.groupGL.removeAll()},dispose:function(){this.groupGL.removeAll()}})},function(He,Fe,Ce){"use strict";var _e=Ce(0),Pe=Ce.n(_e),ge=Ce(33),Ee=Ce(60),be=Ce(13),we=Ce(1),pe=Ce.n(we),ye=pe.a.vec3,Se=pe.a.mat3,ce=be.a.extend(function(){return{attributes:{position:new be.a.Attribute("position","float",3,"POSITION"),normal:new be.a.Attribute("normal","float",3,"NORMAL"),color:new be.a.Attribute("color","float",4,"COLOR"),prevPosition:new be.a.Attribute("prevPosition","float",3),prevNormal:new be.a.Attribute("prevNormal","float",3)},dynamic:!0,enableNormal:!1,bevelSize:1,bevelSegments:0,_dataIndices:null,_vertexOffset:0,_triangleOffset:0}},{resetOffset:function(){this._vertexOffset=0,this._triangleOffset=0},setBarCount:function(te){var ne=this.enableNormal,le=this.getBarVertexCount()*te,oe=this.getBarTriangleCount()*te;this.vertexCount!==le&&(this.attributes.position.init(le),ne?this.attributes.normal.init(le):this.attributes.normal.value=null,this.attributes.color.init(le)),this.triangleCount!==oe&&(this.indices=le>65535?new Uint32Array(oe*3):new Uint16Array(oe*3),this._dataIndices=new Uint32Array(le))},getBarVertexCount:function(){var te=this.bevelSize>0?this.bevelSegments:0;return te>0?this._getBevelBarVertexCount(te):this.enableNormal?24:8},getBarTriangleCount:function(){var te=this.bevelSize>0?this.bevelSegments:0;return te>0?this._getBevelBarTriangleCount(te):12},_getBevelBarVertexCount:function(te){return(te+1)*4*(te+1)*2},_getBevelBarTriangleCount:function(te){var ne=te*4+3,le=te*2+1;return(ne+1)*le*2+4},setColor:function(te,ne){for(var le=this.getBarVertexCount(),oe=le*te,de=le*(te+1),he=oe;he0&&this.bevelSegments>0)this._addBevelBar(qe,ut,at,ft,this.bevelSize,this.bevelSegments,rt);else{ye.copy(de,ut),ye.normalize(de,de),ye.cross(he,at,de),ye.normalize(he,he),ye.cross(oe,de,he),ye.normalize(he,he),ye.negate(ie,oe),ye.negate(ue,de),ye.negate(ve,he),ne(xe[0],qe,oe,ft[0]/2),ne(xe[0],xe[0],he,ft[2]/2),ne(xe[1],qe,oe,ft[0]/2),ne(xe[1],xe[1],ve,ft[2]/2),ne(xe[2],qe,ie,ft[0]/2),ne(xe[2],xe[2],ve,ft[2]/2),ne(xe[3],qe,ie,ft[0]/2),ne(xe[3],xe[3],he,ft[2]/2),ne(le,qe,de,ft[1]),ne(xe[4],le,oe,ft[0]/2),ne(xe[4],xe[4],he,ft[2]/2),ne(xe[5],le,oe,ft[0]/2),ne(xe[5],xe[5],ve,ft[2]/2),ne(xe[6],le,ie,ft[0]/2),ne(xe[6],xe[6],ve,ft[2]/2),ne(xe[7],le,ie,ft[0]/2),ne(xe[7],xe[7],he,ft[2]/2);var mt=this.attributes;if(this.enableNormal){De[0]=oe,De[1]=ie,De[2]=de,De[3]=ue,De[4]=he,De[5]=ve;for(var ht=this._vertexOffset,gt=0;gt=0){var yt=Ue*3,mt=new pe.a(this._points[yt],this._points[yt+1],this._points[yt+2]);xe.push({dataIndex:Ue,point:mt,pointWorld:mt.clone(),target:this._line3DMesh,distance:this._camera.getWorldPosition().dist(mt)})}},remove:function(){this.groupGL.removeAll()},dispose:function(){this.groupGL.removeAll()}})},function(He,Fe){function Ce(_e,Pe,ge,Ee,be,we,pe){if(be===0)return!1;var ye=be,Se=0,ce=_e;if(pe>Pe+ye&&pe>Ee+ye||pe_e+ye&&we>ge+ye||we<_e-ye&&wele?oe.position[1]+=(de-le)/2:oe.position[0]+=(de-ne)/2;var he=oe.getBoundingRect();return oe.position[0]-=he.x,oe.position[1]-=he.y,oe.setStyle(Se),oe.update(),oe.__size=de,oe}function be(pe,ye,Se){var ce=ye.width,te=ye.height,ne=pe.canvas.width,le=pe.canvas.height,oe=ce/ne,de=te/le;function he(Ue){return Ue<128?1:-1}function ie(Ue,Ge){var Xe=1/0;Ue=Math.floor(Ue*oe),Ge=Math.floor(Ge*de);for(var Qe=Ge*ce+Ue,nt=ye.data[Qe*4],$e=he(nt),qe=Math.max(Ge-Se,0);qe=0;xe--){var De;this.geometry.indices?De=this.geometry.indices[xe]:De=xe;var Re=he[De*2],Ne=he[De*2+1],Ue=this.geometry.attributes.size.get(De)/this.sizeScale,Ge=Ue/2;if(ce>Re-Ge*ue&&ceNe-Ge*ve&&te=2e4},doSortVertices:function(be,we){var pe=this.indices,ye=Ee.create();if(!pe){pe=this.indices=this.vertexCount>65535?new Uint32Array(this.vertexCount):new Uint16Array(this.vertexCount);for(var Se=0;Se.05);else for(var Se=0;Se<3;Se++)this._progressiveQuickSort(we*3+Se);this.dirtyIndices()},_simpleSort:function(be){var we=this._zList,pe=this.indices;function ye(Se,ce){return we[ce]-we[Se]}be?Array.prototype.sort.call(pe,ye):_e.a.sort(pe,ye,0,pe.length-1)},_progressiveQuickSort:function(be){var we=this._zList,pe=this.indices;this._quickSort=this._quickSort||new _e.a,this._quickSort.step(pe,function(ye,Se){return we[Se]-we[ye]},be)}}},function(He,Fe,Ce){"use strict";Fe.a=`@export ecgl.sdfSprite.vertex +@end`},function(He,Fe,Ce){"use strict";var _e=Ce(0),Pe=Ce.n(_e),ge=Ce(203),Ee=Ce(206),be=Ce(208),we=Ce(16);Pe.a.registerVisual(Object(we.a)("bar3D")),Pe.a.registerProcessor(function(pe,ye){pe.eachSeriesByType("bar3d",function(Se){var ce=Se.getData();ce.filterSelf(function(te){return ce.hasValue(te)})})})},function(He,Fe,Ce){"use strict";var _e=Ce(0),Pe=Ce.n(_e),ge=Ce(4),Ee=Ce(1),be=Ce.n(Ee),we=Ce(204),pe=Ce(205),ye=be.a.vec3;function Se(ne,le){var oe=ne.getData(),de=ne.get("minHeight")||0,he=ne.get("barSize"),ie=["lng","lat","alt"].map(function(xe){return ne.coordDimToDataDim(xe)[0]});if(he==null){var ue=le.radius*Math.PI,ve=Object(pe.a)(oe,ie[0],ie[1]);he=[ue/Math.sqrt(oe.count()/ve),ue/Math.sqrt(oe.count()/ve)]}else Pe.a.util.isArray(he)||(he=[he,he]);oe.each(ie,function(xe,De,Re,Ne){var ze=oe.get(ie[2],Ne,!0),Ge=oe.stackedOn?ze-Re:le.altitudeAxis.scale.getExtent()[0],Xe=Math.max(le.altitudeAxis.dataToCoord(Re),de),Qe=le.dataToPoint([xe,De,Ge]),nt=le.dataToPoint([xe,De,ze]),$e=ye.sub([],nt,Qe);ye.normalize($e,$e);var qe=[he[0],Xe,he[1]];oe.setItemLayout(Ne,[Qe,$e,qe])}),oe.setLayout("orient",ge.a.UP.array)}function ce(ne,le){var oe=ne.getData(),de=ne.get("barSize"),he=ne.get("minHeight")||0,ie=["lng","lat","alt"].map(function(De){return ne.coordDimToDataDim(De)[0]});if(de==null){var ue=Math.min(le.size[0],le.size[2]),ve=Object(pe.a)(oe,ie[0],ie[1]);de=[ue/Math.sqrt(oe.count()/ve),ue/Math.sqrt(oe.count()/ve)]}else Pe.a.util.isArray(de)||(de=[de,de]);var xe=[0,1,0];oe.each(ie,function(De,Re,Ne,ze){var Ge=oe.get(ie[2],ze,!0),Xe=oe.stackedOn?Ge-Ne:le.altitudeAxis.scale.getExtent()[0],Qe=Math.max(le.altitudeAxis.dataToCoord(Ne),he),nt=le.dataToPoint([De,Re,Xe]),$e=[de[0],Qe,de[1]];oe.setItemLayout(ze,[nt,xe,$e])}),oe.setLayout("orient",[1,0,0])}function te(ne,le){var oe=ne.getData(),de=ne.coordDimToDataDim("lng")[0],he=ne.coordDimToDataDim("lat")[0],ie=ne.coordDimToDataDim("alt")[0],ue=ne.get("barSize"),ve=ne.get("minHeight")||0;if(ue==null){var xe=oe.getDataExtent(de),De=oe.getDataExtent(he),Re=le.dataToPoint([xe[0],De[0]]),Ne=le.dataToPoint([xe[1],De[1]]),ze=Math.min(Math.abs(Re[0]-Ne[0]),Math.abs(Re[1]-Ne[1]))||1,Ge=Object(pe.a)(oe,de,he);ue=[ze/Math.sqrt(oe.count()/Ge),ze/Math.sqrt(oe.count()/Ge)]}else Pe.a.util.isArray(ue)||(ue=[ue,ue]),ue[0]/=le.getScale()/16,ue[1]/=le.getScale()/16;var Xe=[0,0,1];oe.each([de,he,ie],function(Qe,nt,$e,qe){var lt=oe.get(ie,qe,!0),it=oe.stackedOn?lt-$e:0,ft=le.dataToPoint([Qe,nt,it]),rt=le.dataToPoint([Qe,nt,lt]),ct=Math.max(rt[2]-ft[2],ve),yt=[ue[0],ct,ue[1]];oe.setItemLayout(qe,[ft,Xe,yt])}),oe.setLayout("orient",[1,0,0])}Pe.a.registerLayout(function(ne,le){ne.eachSeriesByType("bar3D",function(oe){var de=oe.coordinateSystem,he=de&&de.type;if(he==="globe")Se(oe,de);else if(he==="cartesian3D")Object(we.a)(oe,de);else if(he==="geo3D")ce(oe,de);else if(he==="mapbox3D")te(oe,de);else throw de?new Error("bar3D doesn't support coordinate system "+de.type):new Error("bar3D doesn't have coordinate system.")})})},function(He,Fe,Ce){"use strict";var _e=Ce(0),Pe=Ce.n(_e),ge=Ce(1),Ee=Ce.n(ge),be=Ee.a.vec3;function we(ye){var Se=ye[0],ce=ye[1];return!(Se>0&&ce>0||Se<0&&ce<0)}function pe(ye,Se){var ce=ye.getData(),te=ye.get("barSize");if(te==null){var ne=Se.size,le,oe,de=Se.getAxis("x"),he=Se.getAxis("y");de.type==="category"?le=de.getBandWidth()*.7:le=Math.round(ne[0]/Math.sqrt(ce.count()))*.6,he.type==="category"?oe=he.getBandWidth()*.7:oe=Math.round(ne[1]/Math.sqrt(ce.count()))*.6,te=[le,oe]}else Pe.a.util.isArray(te)||(te=[te,te]);var ie=Se.getAxis("z").scale.getExtent(),ue=we(ie),ve=["x","y","z"].map(function(xe){return ye.coordDimToDataDim(xe)[0]});ce.each(ve,function(xe,De,Re,Ne){var ze=ce.get(ve[2],Ne,!0),Ge=ce.stackedOn?ze-Re:ue?0:ie[0],Xe=Se.dataToPoint([xe,De,Ge]),Qe=Se.dataToPoint([xe,De,ze]),nt=be.dist(Xe,Qe),$e=[0,Qe[1]0&&(nt++,Re[3]<.99&&(Ge=!0))}}),ue.geometry.setBarCount(nt);var Xe=oe.getLayout("orient"),Qe=this._barIndexOfData=new Int32Array(oe.count()),nt=0;oe.each(function(qe){if(!oe.hasValue(qe)){Qe[qe]=-1;return}var lt=oe.getItemLayout(qe),it=lt[0],ft=lt[1],rt=lt[2],ct=qe*4;Re[0]=Ne[ct++],Re[1]=Ne[ct++],Re[2]=Ne[ct++],Re[3]=Ne[ct++],Re[3]>0&&(ie._barMesh.geometry.addBar(it,ft,Xe,rt,Re,qe),Qe[qe]=nt++)}),ue.geometry.dirty(),ue.geometry.updateBoundingBox();var $e=ue.material;$e.transparent=Ge,$e.depthMask=!Ge,ue.geometry.sortTriangles=Ge,this._initHandler(ne,le)},_initHandler:function(ne,le){var oe=ne.getData(),de=this._barMesh,he=ne.coordinateSystem.type==="cartesian3D";de.seriesIndex=ne.seriesIndex;var ie=-1;de.off("mousemove"),de.off("mouseout"),de.on("mousemove",function(ue){var ve=de.geometry.getDataIndexOfVertex(ue.triangle[0]);ve!==ie&&(this._downplay(ie),this._highlight(ve),this._labelsBuilder.updateLabels([ve]),he&&le.dispatchAction({type:"grid3DShowAxisPointer",value:[oe.get("x",ve),oe.get("y",ve),oe.get("z",ve,!0)]})),ie=ve,de.dataIndex=ve},this),de.on("mouseout",function(ue){this._downplay(ie),this._labelsBuilder.updateLabels(),ie=-1,de.dataIndex=-1,he&&le.dispatchAction({type:"grid3DHideAxisPointer"})},this)},_highlight:function(ne){var le=this._data;if(le){var oe=this._barIndexOfData[ne];if(!(oe<0)){var de=le.getItemModel(ne),he=de.getModel("emphasis.itemStyle"),ie=he.get("color"),ue=he.get("opacity");if(ie==null){var ve=le.getItemVisual(ne,"color");ie=Pe.a.color.lift(ve,-.4)}ue==null&&(ue=le.getItemVisual(ne,"opacity"));var xe=ge.a.parseColor(ie);xe[3]*=ue,this._barMesh.geometry.setColor(oe,xe),this._api.getZr().refresh()}}},_downplay:function(ne){var le=this._data;if(le){var oe=this._barIndexOfData[ne];if(!(oe<0)){var de=le.getItemVisual(ne,"color"),he=le.getItemVisual(ne,"opacity"),ie=ge.a.parseColor(de);ie[3]*=he,this._barMesh.geometry.setColor(oe,ie),this._api.getZr().refresh()}}},highlight:function(ne,le,oe,de){this._toggleStatus("highlight",ne,le,oe,de)},downplay:function(ne,le,oe,de){this._toggleStatus("downplay",ne,le,oe,de)},_toggleStatus:function(ne,le,oe,de,he){var ie=le.getData(),ue=Ee.a.queryDataIndex(ie,he),ve=this;ue!=null?Pe.a.util.each(be.a.normalizeToArray(ue),function(xe){ne==="highlight"?this._highlight(xe):this._downplay(xe)},this):ie.each(function(xe){ne==="highlight"?ve._highlight(xe):ve._downplay(xe)})},remove:function(){this.groupGL.removeAll()},dispose:function(){this.groupGL.removeAll()}})},function(He,Fe,Ce){"use strict";var _e=Ce(0),Pe=Ce.n(_e),ge=Ce(33),Ee=Ce(60),be=Ce(13),we=Ce(1),pe=Ce.n(we),ye=pe.a.vec3,Se=pe.a.mat3,ce=be.a.extend(function(){return{attributes:{position:new be.a.Attribute("position","float",3,"POSITION"),normal:new be.a.Attribute("normal","float",3,"NORMAL"),color:new be.a.Attribute("color","float",4,"COLOR"),prevPosition:new be.a.Attribute("prevPosition","float",3),prevNormal:new be.a.Attribute("prevNormal","float",3)},dynamic:!0,enableNormal:!1,bevelSize:1,bevelSegments:0,_dataIndices:null,_vertexOffset:0,_triangleOffset:0}},{resetOffset:function(){this._vertexOffset=0,this._triangleOffset=0},setBarCount:function(te){var ne=this.enableNormal,le=this.getBarVertexCount()*te,oe=this.getBarTriangleCount()*te;this.vertexCount!==le&&(this.attributes.position.init(le),ne?this.attributes.normal.init(le):this.attributes.normal.value=null,this.attributes.color.init(le)),this.triangleCount!==oe&&(this.indices=le>65535?new Uint32Array(oe*3):new Uint16Array(oe*3),this._dataIndices=new Uint32Array(le))},getBarVertexCount:function(){var te=this.bevelSize>0?this.bevelSegments:0;return te>0?this._getBevelBarVertexCount(te):this.enableNormal?24:8},getBarTriangleCount:function(){var te=this.bevelSize>0?this.bevelSegments:0;return te>0?this._getBevelBarTriangleCount(te):12},_getBevelBarVertexCount:function(te){return(te+1)*4*(te+1)*2},_getBevelBarTriangleCount:function(te){var ne=te*4+3,le=te*2+1;return(ne+1)*le*2+4},setColor:function(te,ne){for(var le=this.getBarVertexCount(),oe=le*te,de=le*(te+1),he=oe;he0&&this.bevelSegments>0)this._addBevelBar(qe,lt,it,ft,this.bevelSize,this.bevelSegments,rt);else{ye.copy(de,lt),ye.normalize(de,de),ye.cross(he,it,de),ye.normalize(he,he),ye.cross(oe,de,he),ye.normalize(he,he),ye.negate(ie,oe),ye.negate(ue,de),ye.negate(ve,he),ne(xe[0],qe,oe,ft[0]/2),ne(xe[0],xe[0],he,ft[2]/2),ne(xe[1],qe,oe,ft[0]/2),ne(xe[1],xe[1],ve,ft[2]/2),ne(xe[2],qe,ie,ft[0]/2),ne(xe[2],xe[2],ve,ft[2]/2),ne(xe[3],qe,ie,ft[0]/2),ne(xe[3],xe[3],he,ft[2]/2),ne(le,qe,de,ft[1]),ne(xe[4],le,oe,ft[0]/2),ne(xe[4],xe[4],he,ft[2]/2),ne(xe[5],le,oe,ft[0]/2),ne(xe[5],xe[5],ve,ft[2]/2),ne(xe[6],le,ie,ft[0]/2),ne(xe[6],xe[6],ve,ft[2]/2),ne(xe[7],le,ie,ft[0]/2),ne(xe[7],xe[7],he,ft[2]/2);var mt=this.attributes;if(this.enableNormal){De[0]=oe,De[1]=ie,De[2]=de,De[3]=ue,De[4]=he,De[5]=ve;for(var ht=this._vertexOffset,gt=0;gt=0){var yt=ze*3,mt=new pe.a(this._points[yt],this._points[yt+1],this._points[yt+2]);xe.push({dataIndex:ze,point:mt,pointWorld:mt.clone(),target:this._line3DMesh,distance:this._camera.getWorldPosition().dist(mt)})}},remove:function(){this.groupGL.removeAll()},dispose:function(){this.groupGL.removeAll()}})},function(He,Fe){function Ce(_e,Pe,ge,Ee,be,we,pe){if(be===0)return!1;var ye=be,Se=0,ce=_e;if(pe>Pe+ye&&pe>Ee+ye||pe_e+ye&&we>ge+ye||we<_e-ye&&wele?oe.position[1]+=(de-le)/2:oe.position[0]+=(de-ne)/2;var he=oe.getBoundingRect();return oe.position[0]-=he.x,oe.position[1]-=he.y,oe.setStyle(Se),oe.update(),oe.__size=de,oe}function be(pe,ye,Se){var ce=ye.width,te=ye.height,ne=pe.canvas.width,le=pe.canvas.height,oe=ce/ne,de=te/le;function he(ze){return ze<128?1:-1}function ie(ze,Ge){var Xe=1/0;ze=Math.floor(ze*oe),Ge=Math.floor(Ge*de);for(var Qe=Ge*ce+ze,nt=ye.data[Qe*4],$e=he(nt),qe=Math.max(Ge-Se,0);qe=0;xe--){var De;this.geometry.indices?De=this.geometry.indices[xe]:De=xe;var Re=he[De*2],Ne=he[De*2+1],ze=this.geometry.attributes.size.get(De)/this.sizeScale,Ge=ze/2;if(ce>Re-Ge*ue&&ceNe-Ge*ve&&te=2e4},doSortVertices:function(be,we){var pe=this.indices,ye=Ee.create();if(!pe){pe=this.indices=this.vertexCount>65535?new Uint32Array(this.vertexCount):new Uint16Array(this.vertexCount);for(var Se=0;Se.05);else for(var Se=0;Se<3;Se++)this._progressiveQuickSort(we*3+Se);this.dirtyIndices()},_simpleSort:function(be){var we=this._zList,pe=this.indices;function ye(Se,ce){return we[ce]-we[Se]}be?Array.prototype.sort.call(pe,ye):_e.a.sort(pe,ye,0,pe.length-1)},_progressiveQuickSort:function(be){var we=this._zList,pe=this.indices;this._quickSort=this._quickSort||new _e.a,this._quickSort.step(pe,function(ye,Se){return we[Se]-we[ye]},be)}}},function(He,Fe,Ce){"use strict";Fe.a=`@export ecgl.sdfSprite.vertex uniform mat4 worldViewProjection : WORLDVIEWPROJECTION; uniform float elapsedTime : 0; @@ -3920,7 +3920,7 @@ void main() gl_FragColor = sRGBToLinear(gl_FragColor); #endif } -@end`},function(He,Fe,Ce){"use strict";var _e=Ce(0),Pe=Ce.n(_e),ge=Ce(221),Ee=Ce(222),be=Ce(225),we=Ce(16);Pe.a.registerVisual(Object(we.a)("lines3D")),Pe.a.registerAction({type:"lines3DPauseEffect",event:"lines3deffectpaused",update:"series.lines3D:pauseEffect"},function(){}),Pe.a.registerAction({type:"lines3DResumeEffect",event:"lines3deffectresumed",update:"series.lines3D:resumeEffect"},function(){}),Pe.a.registerAction({type:"lines3DToggleEffect",event:"lines3deffectchanged",update:"series.lines3D:toggleEffect"},function(){})},function(He,Fe,Ce){"use strict";var _e=Ce(0),Pe=Ce.n(_e),ge=Ce(1),Ee=Ce.n(ge),be=Ee.a.vec3,we=Ee.a.vec2,pe=be.normalize,ye=be.cross,Se=be.sub,ce=be.add,te=be.create,ne=te(),le=te(),oe=te(),de=te(),he=[],ie=[];function ue(Ue,Ge){we.copy(he,Ue[0]),we.copy(ie,Ue[1]);var Xe=[],Qe=Xe[0]=te(),nt=Xe[1]=te(),$e=Xe[2]=te(),qe=Xe[3]=te();Ge.dataToPoint(he,Qe),Ge.dataToPoint(ie,qe),pe(ne,Qe),Se(le,qe,Qe),pe(le,le),ye(oe,le,ne),pe(oe,oe),ye(le,ne,oe),ce(nt,ne,le),pe(nt,nt),pe(ne,qe),Se(le,Qe,qe),pe(le,le),ye(oe,le,ne),pe(oe,oe),ye(le,ne,oe),ce($e,ne,le),pe($e,$e),ce(de,Qe,qe),pe(de,de);var ut=be.dot(Qe,de),at=be.dot(de,nt),ft=(Math.max(be.len(Qe),be.len(qe))-ut)/at*2;return be.scaleAndAdd(nt,Qe,nt,ft),be.scaleAndAdd($e,qe,$e,ft),Xe}function ve(Ue,Ge,Xe){var Qe=[],nt=Qe[0]=be.create(),$e=Qe[1]=be.create(),qe=Qe[2]=be.create(),ut=Qe[3]=be.create();Ge.dataToPoint(Ue[0],nt),Ge.dataToPoint(Ue[1],ut);var at=be.dist(nt,ut);return be.lerp($e,nt,ut,.3),be.lerp(qe,nt,ut,.3),be.scaleAndAdd($e,$e,Xe,Math.min(at*.1,10)),be.scaleAndAdd(qe,qe,Xe,Math.min(at*.1,10)),Qe}function xe(Ue,Ge){for(var Xe=new Float32Array(Ue.length*3),Qe=0,nt=[],$e=0;$e0&&nt[0]instanceof Array))throw new Error("Invalid coords "+JSON.stringify(nt)+". Lines must have 2d coords array in data item.");Ge.push(nt)}),{coordsList:Ge}}function Re(Ue,Ge){var Xe=Ue.getData(),Qe=Ue.get("polyline");Xe.setLayout("lineType",Qe?"polyline":"cubicBezier");var nt=De(Xe);Xe.each(function($e){var qe=nt.coordsList[$e],ut=Qe?xe:ue;Xe.setItemLayout($e,ut(qe,Ge))})}function Ne(Ue,Ge,Xe){var Qe=Ue.getData(),nt=Ue.get("polyline"),$e=De(Qe);Qe.setLayout("lineType",nt?"polyline":"cubicBezier"),Qe.each(function(qe){var ut=$e.coordsList[qe],at=nt?xe(ut,Ge):ve(ut,Ge,Xe);Qe.setItemLayout(qe,at)})}Pe.a.registerLayout(function(Ue,Ge){Ue.eachSeriesByType("lines3D",function(Xe){var Qe=Xe.coordinateSystem;Qe.type==="globe"?Re(Xe,Qe):Qe.type==="geo3D"?Ne(Xe,Qe,[0,1,0]):Qe.type==="mapbox3D"&&Ne(Xe,Qe,[0,0,1])})})},function(He,Fe,Ce){"use strict";var _e=Ce(0),Pe=Ce.n(_e),ge=Ce(2),Ee=Ce(22),be=Ce(223),we=Ce(40);ge.a.Shader.import(we.a);function pe(Se){return Se.radius!=null?Se.radius:Se.size!=null?Math.max(Se.size[0],Se.size[1],Se.size[2]):100}var ye=Pe.a.extendChartView({type:"lines3D",__ecgl__:!0,init:function(Se,ce){this.groupGL=new ge.a.Node,this._meshLinesMaterial=new ge.a.Material({shader:ge.a.createShader("ecgl.meshLines3D"),transparent:!0,depthMask:!1}),this._linesMesh=new ge.a.Mesh({geometry:new Ee.a,material:this._meshLinesMaterial,$ignorePicking:!0}),this._trailMesh=new be.a},render:function(Se,ce,te){this.groupGL.add(this._linesMesh);var ne=Se.coordinateSystem,le=Se.getData();if(ne&&ne.viewGL){var oe=ne.viewGL;oe.add(this.groupGL),this._updateLines(Se,ce,te);var de=ne.viewGL.isLinearSpace()?"define":"undefine";this._linesMesh.material[de]("fragment","SRGB_DECODE"),this._trailMesh.material[de]("fragment","SRGB_DECODE")}var he=this._trailMesh;if(he.stopAnimation(),Se.get("effect.show")){this.groupGL.add(he),he.updateData(le,te,this._linesMesh.geometry),he.__time=he.__time||0;var ie=3600*1e3;this._curveEffectsAnimator=he.animate("",{loop:!0}).when(ie,{__time:ie}).during(function(){he.setAnimationTime(he.__time)}).start()}else this.groupGL.remove(he),this._curveEffectsAnimator=null;this._linesMesh.material.blend=this._trailMesh.material.blend=Se.get("blendMode")==="lighter"?ge.a.additiveBlend:null},pauseEffect:function(){this._curveEffectsAnimator&&this._curveEffectsAnimator.pause()},resumeEffect:function(){this._curveEffectsAnimator&&this._curveEffectsAnimator.resume()},toggleEffect:function(){var Se=this._curveEffectsAnimator;Se&&(Se.isPaused()?Se.resume():Se.pause())},_updateLines:function(Se,ce,te){var ne=Se.getData(),le=Se.coordinateSystem,oe=this._linesMesh.geometry,de=Se.get("polyline");oe.expandLine=!0;var he=pe(le);oe.segmentScale=he/20;var ie="lineStyle.width".split("."),ue=te.getDevicePixelRatio(),ve=0;ne.each(function(Ne){var Ue=ne.getItemModel(Ne),Ge=Ue.get(ie);Ge==null&&(Ge=1),ne.setItemVisual(Ne,"lineWidth",Ge),ve=Math.max(Ge,ve)}),oe.useNativeLine=!1;var xe=0,De=0;ne.each(function(Ne){var Ue=ne.getItemLayout(Ne);de?(xe+=oe.getPolylineVertexCount(Ue),De+=oe.getPolylineTriangleCount(Ue)):(xe+=oe.getCubicCurveVertexCount(Ue[0],Ue[1],Ue[2],Ue[3]),De+=oe.getCubicCurveTriangleCount(Ue[0],Ue[1],Ue[2],Ue[3]))}),oe.setVertexCount(xe),oe.setTriangleCount(De),oe.resetOffset();var Re=[];ne.each(function(Ne){var Ue=ne.getItemLayout(Ne),Ge=ne.getItemVisual(Ne,"color"),Xe=ne.getItemVisual(Ne,"opacity"),Qe=ne.getItemVisual(Ne,"lineWidth")*ue;Xe==null&&(Xe=1),Re=ge.a.parseColor(Ge,Re),Re[3]*=Xe,de?oe.addPolyline(Ue,Re,Qe):oe.addCubicCurve(Ue[0],Ue[1],Ue[2],Ue[3],Re,Qe)}),oe.dirty()},remove:function(){this.groupGL.removeAll()},dispose:function(){this.groupGL.removeAll()}})},function(He,Fe,Ce){"use strict";var _e=Ce(0),Pe=Ce.n(_e),ge=Ce(2),Ee=Ce(1),be=Ce.n(Ee),we=Ce(22),pe=Ce(224),ye=be.a.vec3;function Se(ce){return ce>0?1:-1}ge.a.Shader.import(pe.a),Fe.a=ge.a.Mesh.extend(function(){var ce=new ge.a.Material({shader:new ge.a.Shader(ge.a.Shader.source("ecgl.trail2.vertex"),ge.a.Shader.source("ecgl.trail2.fragment")),transparent:!0,depthMask:!1}),te=new we.a({dynamic:!0});return te.createAttribute("dist","float",1),te.createAttribute("distAll","float",1),te.createAttribute("start","float",1),{geometry:te,material:ce,culling:!1,$ignorePicking:!0}},{updateData:function(ce,te,ne){var le=ce.hostModel,oe=this.geometry,de=le.getModel("effect"),he=de.get("trailWidth")*te.getDevicePixelRatio(),ie=de.get("trailLength"),ue=le.get("effect.constantSpeed"),ve=le.get("effect.period")*1e3,xe=ue!=null;this.getScene()||console.error("TrailMesh must been add to scene before updateData"),xe?this.material.set("speed",ue/1e3):this.material.set("period",ve),this.material[xe?"define":"undefine"]("vertex","CONSTANT_SPEED");var De=le.get("polyline");oe.trailLength=ie,this.material.set("trailLength",ie),oe.resetOffset(),["position","positionPrev","positionNext"].forEach(function(ft){oe.attributes[ft].value=ne.attributes[ft].value});var Re=["dist","distAll","start","offset","color"];Re.forEach(function(ft){oe.attributes[ft].init(oe.vertexCount)}),oe.indices=ne.indices;var Ne=[],Ue=de.get("trailColor"),Ge=de.get("trailOpacity"),Xe=Ue!=null,Qe=Ge!=null;this.updateWorldTransform();var nt=this.worldTransform.x.len(),$e=this.worldTransform.y.len(),qe=this.worldTransform.z.len(),ut=0,at=0;ce.each(function(ft){var rt=ce.getItemLayout(ft),ct=Qe?Ge:ce.getItemVisual(ft,"opacity"),yt=ce.getItemVisual(ft,"color");ct==null&&(ct=1),Ne=ge.a.parseColor(Xe?Ue:yt,Ne),Ne[3]*=ct;for(var mt=De?ne.getPolylineVertexCount(rt):ne.getCubicCurveVertexCount(rt[0],rt[1],rt[2],rt[3]),ht=0,gt=[],Wt=[],Zt=ut;Ztut&&(ht+=ye.dist(gt,Wt)),oe.attributes.dist.set(Zt,ht),ye.copy(Wt,gt);at=Math.max(at,ht);for(var en=Math.random()*(xe?ht:ve),Zt=ut;Zt0&&nt[0]instanceof Array))throw new Error("Invalid coords "+JSON.stringify(nt)+". Lines must have 2d coords array in data item.");Ge.push(nt)}),{coordsList:Ge}}function Re(ze,Ge){var Xe=ze.getData(),Qe=ze.get("polyline");Xe.setLayout("lineType",Qe?"polyline":"cubicBezier");var nt=De(Xe);Xe.each(function($e){var qe=nt.coordsList[$e],lt=Qe?xe:ue;Xe.setItemLayout($e,lt(qe,Ge))})}function Ne(ze,Ge,Xe){var Qe=ze.getData(),nt=ze.get("polyline"),$e=De(Qe);Qe.setLayout("lineType",nt?"polyline":"cubicBezier"),Qe.each(function(qe){var lt=$e.coordsList[qe],it=nt?xe(lt,Ge):ve(lt,Ge,Xe);Qe.setItemLayout(qe,it)})}Pe.a.registerLayout(function(ze,Ge){ze.eachSeriesByType("lines3D",function(Xe){var Qe=Xe.coordinateSystem;Qe.type==="globe"?Re(Xe,Qe):Qe.type==="geo3D"?Ne(Xe,Qe,[0,1,0]):Qe.type==="mapbox3D"&&Ne(Xe,Qe,[0,0,1])})})},function(He,Fe,Ce){"use strict";var _e=Ce(0),Pe=Ce.n(_e),ge=Ce(2),Ee=Ce(22),be=Ce(223),we=Ce(40);ge.a.Shader.import(we.a);function pe(Se){return Se.radius!=null?Se.radius:Se.size!=null?Math.max(Se.size[0],Se.size[1],Se.size[2]):100}var ye=Pe.a.extendChartView({type:"lines3D",__ecgl__:!0,init:function(Se,ce){this.groupGL=new ge.a.Node,this._meshLinesMaterial=new ge.a.Material({shader:ge.a.createShader("ecgl.meshLines3D"),transparent:!0,depthMask:!1}),this._linesMesh=new ge.a.Mesh({geometry:new Ee.a,material:this._meshLinesMaterial,$ignorePicking:!0}),this._trailMesh=new be.a},render:function(Se,ce,te){this.groupGL.add(this._linesMesh);var ne=Se.coordinateSystem,le=Se.getData();if(ne&&ne.viewGL){var oe=ne.viewGL;oe.add(this.groupGL),this._updateLines(Se,ce,te);var de=ne.viewGL.isLinearSpace()?"define":"undefine";this._linesMesh.material[de]("fragment","SRGB_DECODE"),this._trailMesh.material[de]("fragment","SRGB_DECODE")}var he=this._trailMesh;if(he.stopAnimation(),Se.get("effect.show")){this.groupGL.add(he),he.updateData(le,te,this._linesMesh.geometry),he.__time=he.__time||0;var ie=3600*1e3;this._curveEffectsAnimator=he.animate("",{loop:!0}).when(ie,{__time:ie}).during(function(){he.setAnimationTime(he.__time)}).start()}else this.groupGL.remove(he),this._curveEffectsAnimator=null;this._linesMesh.material.blend=this._trailMesh.material.blend=Se.get("blendMode")==="lighter"?ge.a.additiveBlend:null},pauseEffect:function(){this._curveEffectsAnimator&&this._curveEffectsAnimator.pause()},resumeEffect:function(){this._curveEffectsAnimator&&this._curveEffectsAnimator.resume()},toggleEffect:function(){var Se=this._curveEffectsAnimator;Se&&(Se.isPaused()?Se.resume():Se.pause())},_updateLines:function(Se,ce,te){var ne=Se.getData(),le=Se.coordinateSystem,oe=this._linesMesh.geometry,de=Se.get("polyline");oe.expandLine=!0;var he=pe(le);oe.segmentScale=he/20;var ie="lineStyle.width".split("."),ue=te.getDevicePixelRatio(),ve=0;ne.each(function(Ne){var ze=ne.getItemModel(Ne),Ge=ze.get(ie);Ge==null&&(Ge=1),ne.setItemVisual(Ne,"lineWidth",Ge),ve=Math.max(Ge,ve)}),oe.useNativeLine=!1;var xe=0,De=0;ne.each(function(Ne){var ze=ne.getItemLayout(Ne);de?(xe+=oe.getPolylineVertexCount(ze),De+=oe.getPolylineTriangleCount(ze)):(xe+=oe.getCubicCurveVertexCount(ze[0],ze[1],ze[2],ze[3]),De+=oe.getCubicCurveTriangleCount(ze[0],ze[1],ze[2],ze[3]))}),oe.setVertexCount(xe),oe.setTriangleCount(De),oe.resetOffset();var Re=[];ne.each(function(Ne){var ze=ne.getItemLayout(Ne),Ge=ne.getItemVisual(Ne,"color"),Xe=ne.getItemVisual(Ne,"opacity"),Qe=ne.getItemVisual(Ne,"lineWidth")*ue;Xe==null&&(Xe=1),Re=ge.a.parseColor(Ge,Re),Re[3]*=Xe,de?oe.addPolyline(ze,Re,Qe):oe.addCubicCurve(ze[0],ze[1],ze[2],ze[3],Re,Qe)}),oe.dirty()},remove:function(){this.groupGL.removeAll()},dispose:function(){this.groupGL.removeAll()}})},function(He,Fe,Ce){"use strict";var _e=Ce(0),Pe=Ce.n(_e),ge=Ce(2),Ee=Ce(1),be=Ce.n(Ee),we=Ce(22),pe=Ce(224),ye=be.a.vec3;function Se(ce){return ce>0?1:-1}ge.a.Shader.import(pe.a),Fe.a=ge.a.Mesh.extend(function(){var ce=new ge.a.Material({shader:new ge.a.Shader(ge.a.Shader.source("ecgl.trail2.vertex"),ge.a.Shader.source("ecgl.trail2.fragment")),transparent:!0,depthMask:!1}),te=new we.a({dynamic:!0});return te.createAttribute("dist","float",1),te.createAttribute("distAll","float",1),te.createAttribute("start","float",1),{geometry:te,material:ce,culling:!1,$ignorePicking:!0}},{updateData:function(ce,te,ne){var le=ce.hostModel,oe=this.geometry,de=le.getModel("effect"),he=de.get("trailWidth")*te.getDevicePixelRatio(),ie=de.get("trailLength"),ue=le.get("effect.constantSpeed"),ve=le.get("effect.period")*1e3,xe=ue!=null;this.getScene()||console.error("TrailMesh must been add to scene before updateData"),xe?this.material.set("speed",ue/1e3):this.material.set("period",ve),this.material[xe?"define":"undefine"]("vertex","CONSTANT_SPEED");var De=le.get("polyline");oe.trailLength=ie,this.material.set("trailLength",ie),oe.resetOffset(),["position","positionPrev","positionNext"].forEach(function(ft){oe.attributes[ft].value=ne.attributes[ft].value});var Re=["dist","distAll","start","offset","color"];Re.forEach(function(ft){oe.attributes[ft].init(oe.vertexCount)}),oe.indices=ne.indices;var Ne=[],ze=de.get("trailColor"),Ge=de.get("trailOpacity"),Xe=ze!=null,Qe=Ge!=null;this.updateWorldTransform();var nt=this.worldTransform.x.len(),$e=this.worldTransform.y.len(),qe=this.worldTransform.z.len(),lt=0,it=0;ce.each(function(ft){var rt=ce.getItemLayout(ft),ct=Qe?Ge:ce.getItemVisual(ft,"opacity"),yt=ce.getItemVisual(ft,"color");ct==null&&(ct=1),Ne=ge.a.parseColor(Xe?ze:yt,Ne),Ne[3]*=ct;for(var mt=De?ne.getPolylineVertexCount(rt):ne.getCubicCurveVertexCount(rt[0],rt[1],rt[2],rt[3]),ht=0,gt=[],Wt=[],Zt=lt;Ztlt&&(ht+=ye.dist(gt,Wt)),oe.attributes.dist.set(Zt,ht),ye.copy(Wt,gt);it=Math.max(it,ht);for(var en=Math.random()*(xe?ht:ve),Zt=lt;Zt0;this._updateSurfaceMesh(this._surfaceMesh,ce,xe,Ne);var Ue=this._surfaceMesh.material;Ne?(Ue.define("WIREFRAME_QUAD"),Ue.set("wireframeLineWidth",Re),Ue.set("wireframeLineColor",ge.a.parseColor(De.get("lineStyle.color")))):Ue.undefine("WIREFRAME_QUAD"),this._initHandler(ce,ne),this._updateAnimation(ce)},_updateAnimation:function(ce){ge.a.updateVertexAnimation([["prevPosition","position"],["prevNormal","normal"]],this._prevSurfaceMesh,this._surfaceMesh,ce)},_createSurfaceMesh:function(){var ce=new ge.a.Mesh({geometry:new ge.a.Geometry({dynamic:!0,sortTriangles:!0}),shadowDepthMaterial:new ge.a.Material({shader:new ge.a.Shader(ge.a.Shader.source("ecgl.sm.depth.vertex"),ge.a.Shader.source("ecgl.sm.depth.fragment"))}),culling:!1,renderOrder:10,renderNormal:!0});return ce.geometry.createAttribute("barycentric","float",4),ce.geometry.createAttribute("prevPosition","float",3),ce.geometry.createAttribute("prevNormal","float",3),Pe.a.util.extend(ce.geometry,pe.a),ce},_initHandler:function(ce,te){var ne=ce.getData(),le=this._surfaceMesh,oe=ce.coordinateSystem;function de(ie,ue){for(var ve=1/0,xe=-1,De=[],Re=0;Re=0){var ve=[];le.geometry.attributes.position.get(ue,ve);for(var xe=oe.pointToData(ve),De=1/0,Re=-1,Ne=[],Ue=0;Ue65535?Uint32Array:Uint16Array)((Ue-1)*(Ge-1)*6),at=function(Mt,ln,Dn){Dn[1]=Mt*Ge+ln,Dn[0]=Mt*Ge+ln+1,Dn[3]=(Mt+1)*Ge+ln+1,Dn[2]=(Mt+1)*Ge+ln},ft=!1;if(ue){var rt=[],ct=[],yt=0;Qe?xe.init(oe.vertexCount):xe.value=null;for(var mt=[[],[],[]],ht=[],gt=[],Wt=ye.create(),Zt=function(Mt,ln,Dn){var Hn=ln*3;return Dn[0]=Mt[Hn],Dn[1]=Mt[Hn+1],Dn[2]=Mt[Hn+2],Dn},en=new Float32Array(he.length),dn=new Float32Array(he.length/3*4),Lt=0;Lt ")),te.value&&(de+=" : "+Pe.a.format.encodeHTML(te.value)),de}else return be.superApply(this,"formatTooltip",arguments)},_updateCategoriesData:function(){var pe=(this.option.categories||[]).map(function(Se){return Se.value!=null?Se:Pe.a.util.extend({value:0},Se)}),ye=new Pe.a.List(["value"],this);ye.initData(pe),this._categoriesData=ye,this._categoriesModels=ye.mapArray(function(Se){return ye.getItemModel(Se,!0)})},setView:function(pe){pe.zoom!=null&&(this.option.zoom=pe.zoom),pe.offset!=null&&(this.option.offset=pe.offset)},setNodePosition:function(pe){for(var ye=0;ye "+xe)),ie++)}var De,Re=Pe.a.helper.completeDimensions(["value"],ye);De=new Pe.a.List(Re,ce),De.initData(ye);var Ne=new Pe.a.List(["value"],ce);return Ne.initData(he,de),ne&&ne(De,Ne),we()({mainData:De,struct:le,structAttr:"graph",datas:{node:De,edge:Ne},datasAttr:{node:"data",edge:"edgeData"}}),le.update(),le}},function(He,Fe,Ce){var _e=Ce(85),Pe=_e.__DEV__,ge=Ce(12),Ee=Ce(244),be=Ee.enableClassCheck;function we(le){return"_EC_"+le}var pe=function(le){this._directed=le||!1,this.nodes=[],this.edges=[],this._nodesMap={},this._edgesMap={},this.data,this.edgeData},ye=pe.prototype;ye.type="graph",ye.isDirected=function(){return this._directed},ye.addNode=function(le,oe){le=le||""+oe;var de=this._nodesMap;if(!de[we(le)]){var he=new Se(le,oe);return he.hostGraph=this,this.nodes.push(he),de[we(le)]=he,he}},ye.getNodeByIndex=function(le){var oe=this.data.getRawIndex(le);return this.nodes[oe]},ye.getNodeById=function(le){return this._nodesMap[we(le)]},ye.addEdge=function(le,oe,de){var he=this._nodesMap,ie=this._edgesMap;if(typeof le=="number"&&(le=this.nodes[le]),typeof oe=="number"&&(oe=this.nodes[oe]),Se.isInstance(le)||(le=he[we(le)]),Se.isInstance(oe)||(oe=he[we(oe)]),!(!le||!oe)){var ue=le.id+"-"+oe.id;if(!ie[ue]){var ve=new ce(le,oe,de);return ve.hostGraph=this,this._directed&&(le.outEdges.push(ve),oe.inEdges.push(ve)),le.edges.push(ve),le!==oe&&oe.edges.push(ve),this.edges.push(ve),ie[ue]=ve,ve}}},ye.getEdgeByIndex=function(le){var oe=this.edgeData.getRawIndex(le);return this.edges[oe]},ye.getEdge=function(le,oe){Se.isInstance(le)&&(le=le.id),Se.isInstance(oe)&&(oe=oe.id);var de=this._edgesMap;return this._directed?de[le+"-"+oe]:de[le+"-"+oe]||de[oe+"-"+le]},ye.eachNode=function(le,oe){for(var de=this.nodes,he=de.length,ie=0;ie=0&&le.call(oe,de[ie],ie)},ye.eachEdge=function(le,oe){for(var de=this.edges,he=de.length,ie=0;ie=0&&de[ie].node1.dataIndex>=0&&de[ie].node2.dataIndex>=0&&le.call(oe,de[ie],ie)},ye.breadthFirstTraverse=function(le,oe,de,he){if(Se.isInstance(oe)||(oe=this._nodesMap[we(oe)]),!!oe){for(var ie=de==="out"?"outEdges":de==="in"?"inEdges":"edges",ue=0;ue=0&&xe.node2.dataIndex>=0});for(var ie=0,ue=he.length;ie=0&&this[le][oe].setItemVisual(this.dataIndex,de,he)},getVisual:function(de,he){return this[le][oe].getItemVisual(this.dataIndex,de,he)},setLayout:function(de,he){this.dataIndex>=0&&this[le][oe].setItemLayout(this.dataIndex,de,he)},getLayout:function(){return this[le][oe].getItemLayout(this.dataIndex)},getGraphicEl:function(){return this[le][oe].getItemGraphicEl(this.dataIndex)},getRawIndex:function(){return this[le][oe].getRawIndex(this.dataIndex)}}};ge.mixin(Se,te("hostGraph","data")),ge.mixin(ce,te("hostGraph","edgeData")),pe.Node=Se,pe.Edge=ce,be(Se),be(ce);var ne=pe;He.exports=ne},function(He,Fe){var Ce;Ce=function(){return this}();try{Ce=Ce||Function("return this")()||(0,eval)("this")}catch(_e){typeof window=="object"&&(Ce=window)}He.exports=Ce},function(He,Fe,Ce){var _e=Ce(85),Pe=_e.__DEV__,ge=Ce(12),Ee=".",be="___EC__COMPONENT__CONTAINER___";function we(de){var he={main:"",sub:""};return de&&(de=de.split(Ee),he.main=de[0]||"",he.sub=de[1]||""),he}function pe(de){ge.assert(/^[a-zA-Z0-9_]+([.][a-zA-Z0-9_]+)?$/.test(de),'componentType "'+de+'" illegal')}function ye(de,he){de.$constructor=de,de.extend=function(ie){var ue=this,ve=function(){ie.$constructor?ie.$constructor.apply(this,arguments):ue.apply(this,arguments)};return ge.extend(ve.prototype,ie),ve.extend=this.extend,ve.superCall=te,ve.superApply=ne,ge.inherits(ve,this),ve.superClass=ue,ve}}var Se=0;function ce(de){var he=["__\0is_clz",Se++,Math.random().toFixed(3)].join("_");de.prototype[he]=!0,de.isInstance=function(ie){return!!(ie&&ie[he])}}function te(de,he){var ie=ge.slice(arguments,2);return this.superClass.prototype[he].apply(de,ie)}function ne(de,he,ie){return this.superClass.prototype[he].apply(de,ie)}function le(de,he){he=he||{};var ie={};de.registerClass=function(xe,De){if(De){if(pe(De),De=we(De),!De.sub)ie[De.main]=xe;else if(De.sub!==be){var Re=ue(De);Re[De.sub]=xe}}return xe},de.getClass=function(xe,De,Re){var Ne=ie[xe];if(Ne&&Ne[be]&&(Ne=De?Ne[De]:null),Re&&!Ne)throw new Error(De?"Component "+xe+"."+(De||"")+" not exists. Load it first.":xe+".type should be specified.");return Ne},de.getClassesByMainType=function(xe){xe=we(xe);var De=[],Re=ie[xe.main];return Re&&Re[be]?ge.each(Re,function(Ne,Ue){Ue!==be&&De.push(Ne)}):De.push(Re),De},de.hasClass=function(xe){return xe=we(xe),!!ie[xe.main]},de.getAllClassMainTypes=function(){var xe=[];return ge.each(ie,function(De,Re){xe.push(Re)}),xe},de.hasSubTypes=function(xe){xe=we(xe);var De=ie[xe.main];return De&&De[be]},de.parseClassType=we;function ue(xe){var De=ie[xe.main];return(!De||!De[be])&&(De=ie[xe.main]={},De[be]=!0),De}if(he.registerWhenExtend){var ve=de.extend;ve&&(de.extend=function(xe){var De=ve.call(this,xe);return de.registerClass(De,xe.type)})}return de}function oe(de,he){}Fe.parseClassType=we,Fe.enableClassExtend=ye,Fe.enableClassCheck=ce,Fe.enableClassManagement=le,Fe.setReadOnly=oe},function(He,Fe,Ce){var _e=Ce(12),Pe=_e.each,ge="\0__link_datas",Ee="\0__link_mainData";function be(oe){var de=oe.mainData,he=oe.datas;he||(he={main:de},oe.datasAttr={main:"data"}),oe.datas=oe.mainData=null,te(de,he,oe),Pe(he,function(ie){Pe(de.TRANSFERABLE_METHODS,function(ue){ie.wrapMethod(ue,_e.curry(we,oe))})}),de.wrapMethod("cloneShallow",_e.curry(ye,oe)),Pe(de.CHANGABLE_METHODS,function(ie){de.wrapMethod(ie,_e.curry(pe,oe))}),_e.assert(he[de.dataType]===de)}function we(oe,de){if(ce(this)){var he=_e.extend({},this[ge]);he[this.dataType]=de,te(de,he,oe)}else ne(de,this.dataType,this[Ee],oe);return de}function pe(oe,de){return oe.struct&&oe.struct.update(this),de}function ye(oe,de){return Pe(de[ge],function(he,ie){he!==de&&ne(he.cloneShallow(),ie,de,oe)}),de}function Se(oe){var de=this[Ee];return oe==null||de==null?de:de[ge][oe]}function ce(oe){return oe[Ee]===oe}function te(oe,de,he){oe[ge]={},Pe(de,function(ie,ue){ne(ie,ue,oe,he)})}function ne(oe,de,he,ie){he[ge][de]=oe,oe[Ee]=he,oe.dataType=de,ie.struct&&(oe[ie.structAttr]=ie.struct,ie.struct[ie.datasAttr[de]]=oe),oe.getLinkedData=Se}var le=be;He.exports=le},function(He,Fe,Ce){"use strict";var _e=Ce(0),Pe=Ce.n(_e),ge=Ce(41),Ee=Ce.n(ge),be=Ce(2),we=Ce(20),pe=Ce(86),ye=Ce(3),Se=Ce(247),ce=Ce(249),te=Ce(65),ne=Ce.n(te),le=Ce(1),oe=Ce.n(le),de=Ce(251),he=Ce(62),ie=Ce(252),ue=oe.a.vec2;be.a.Shader.import(ie.a);var ve=1;Pe.a.extendChartView({type:"graphGL",__ecgl__:!0,init:function(xe,De){this.groupGL=new be.a.Node,this.viewGL=new we.a("orthographic"),this.viewGL.camera.left=this.viewGL.camera.right=0,this.viewGL.add(this.groupGL),this._pointsBuilder=new he.a(!0,De),this._forceEdgesMesh=new be.a.Mesh({material:new be.a.Material({shader:be.a.createShader("ecgl.forceAtlas2.edges"),transparent:!0,depthMask:!1,depthTest:!1}),$ignorePicking:!0,geometry:new be.a.Geometry({attributes:{node:new be.a.Geometry.Attribute("node","float",2),color:new be.a.Geometry.Attribute("color","float",4,"COLOR")},dynamic:!0,mainAttribute:"node"}),renderOrder:-1,mode:be.a.Mesh.LINES}),this._edgesMesh=new be.a.Mesh({material:new be.a.Material({shader:be.a.createShader("ecgl.meshLines2D"),transparent:!0,depthMask:!1,depthTest:!1}),$ignorePicking:!0,geometry:new pe.a({useNativeLine:!1,dynamic:!0}),renderOrder:-1,culling:!1}),this._layoutId=0,this._control=new de.a({zr:De.getZr(),viewGL:this.viewGL}),this._control.setTarget(this.groupGL),this._control.init(),this._clickHandler=this._clickHandler.bind(this)},render:function(xe,De,Re){this.groupGL.add(this._pointsBuilder.rootNode),this._model=xe,this._api=Re,this._initLayout(xe,De,Re),this._pointsBuilder.update(xe,De,Re),this._forceLayoutInstance instanceof Se.a||this.groupGL.remove(this._forceEdgesMesh),this._updateCamera(xe,Re),this._control.off("update"),this._control.on("update",function(){Re.dispatchAction({type:"graphGLRoam",seriesId:xe.id,zoom:this._control.getZoom(),offset:this._control.getOffset()}),this._pointsBuilder.updateView(this.viewGL.camera)},this),this._control.setZoom(ye.a.firstNotNull(xe.get("zoom"),1)),this._control.setOffset(xe.get("offset")||[0,0]);var Ne=this._pointsBuilder.getPointsMesh();if(Ne.off("mousemove",this._mousemoveHandler),Ne.off("mouseout",this._mouseOutHandler,this),Re.getZr().off("click",this._clickHandler),this._pointsBuilder.highlightOnMouseover=!0,xe.get("focusNodeAdjacency")){var Ue=xe.get("focusNodeAdjacencyOn");Ue==="click"?Re.getZr().on("click",this._clickHandler):Ue==="mouseover"?(Ne.on("mousemove",this._mousemoveHandler,this),Ne.on("mouseout",this._mouseOutHandler,this),this._pointsBuilder.highlightOnMouseover=!1):console.warn("Unkown focusNodeAdjacencyOn value s"+Ue)}this._lastMouseOverDataIndex=-1},_clickHandler:function(xe){if(!this._layouting){var De=this._pointsBuilder.getPointsMesh().dataIndex;De>=0?this._api.dispatchAction({type:"graphGLFocusNodeAdjacency",seriesId:this._model.id,dataIndex:De}):this._api.dispatchAction({type:"graphGLUnfocusNodeAdjacency",seriesId:this._model.id})}},_mousemoveHandler:function(xe){if(!this._layouting){var De=this._pointsBuilder.getPointsMesh().dataIndex;De>=0?De!==this._lastMouseOverDataIndex&&this._api.dispatchAction({type:"graphGLFocusNodeAdjacency",seriesId:this._model.id,dataIndex:De}):this._mouseOutHandler(xe),this._lastMouseOverDataIndex=De}},_mouseOutHandler:function(xe){this._layouting||(this._api.dispatchAction({type:"graphGLUnfocusNodeAdjacency",seriesId:this._model.id}),this._lastMouseOverDataIndex=-1)},_updateForceEdgesGeometry:function(xe,De){var Re=this._forceEdgesMesh.geometry,Ne=De.getEdgeData(),Ue=0,Ge=this._forceLayoutInstance,Xe=Ne.count()*2;Re.attributes.node.init(Xe),Re.attributes.color.init(Xe),Ne.each(function(Qe){var nt=xe[Qe];Re.attributes.node.set(Ue,Ge.getNodeUV(nt.node1)),Re.attributes.node.set(Ue+1,Ge.getNodeUV(nt.node2));var $e=Ne.getItemVisual(nt.dataIndex,"color"),qe=be.a.parseColor($e);qe[3]*=ye.a.firstNotNull(Ne.getItemVisual(nt.dataIndex,"opacity"),1),Re.attributes.color.set(Ue,qe),Re.attributes.color.set(Ue+1,qe),Ue+=2}),Re.dirty()},_updateMeshLinesGeometry:function(){var De=this._model.getEdgeData(),xe=this._edgesMesh.geometry,De=this._model.getEdgeData(),Re=this._model.getData().getLayout("points");xe.resetOffset(),xe.setVertexCount(De.count()*xe.getLineVertexCount()),xe.setTriangleCount(De.count()*xe.getLineTriangleCount());var Ne=[],Ue=[],Ge=["lineStyle","width"];this._originalEdgeColors=new Float32Array(De.count()*4),this._edgeIndicesMap=new Float32Array(De.count()),De.each(function(Xe){var Qe=De.graph.getEdgeByIndex(Xe),nt=Qe.node1.dataIndex*2,$e=Qe.node2.dataIndex*2;Ne[0]=Re[nt],Ne[1]=Re[nt+1],Ue[0]=Re[$e],Ue[1]=Re[$e+1];var qe=De.getItemVisual(Qe.dataIndex,"color"),ut=be.a.parseColor(qe);ut[3]*=ye.a.firstNotNull(De.getItemVisual(Qe.dataIndex,"opacity"),1);var at=De.getItemModel(Qe.dataIndex),ft=ye.a.firstNotNull(at.get(Ge),1)*this._api.getDevicePixelRatio();xe.addLine(Ne,Ue,ut,ft);for(var rt=0;rt<4;rt++)this._originalEdgeColors[Qe.dataIndex*4+rt]=ut[rt];this._edgeIndicesMap[Qe.dataIndex]=Xe},!1,this),xe.dirty()},_updateForceNodesGeometry:function(xe){for(var De=this._pointsBuilder.getPointsMesh(),Re=[],Ne=0;Ne=rt&&($e._syncNodePosition(xe),ft=0),Ge.getZr().refresh(),ne()(function(){ct(yt)})})}};ne()(function(){$e._forceLayoutInstanceToDispose&&($e._forceLayoutInstanceToDispose.dispose(Ue.layer.renderer),$e._forceLayoutInstanceToDispose=null),ct(qe)}),this._layouting=!0}}},stopLayout:function(xe,De,Re,Ne){Ne&&Ne.from!=null&&Ne.from!==this.uid||(this._layoutId=0,this.groupGL.remove(this._forceEdgesMesh),this.groupGL.add(this._edgesMesh),this._forceLayoutInstance&&this.viewGL.layer&&(Ne&&Ne.beforeLayout||(this._syncNodePosition(xe),this._updateAfterLayout(xe,De,Re)),this._api.getZr().refresh(),this._layouting=!1))},_syncNodePosition:function(xe){var De=this._forceLayoutInstance.getNodePosition(this.viewGL.layer.renderer);xe.getData().setLayout("points",De),xe.setNodePosition(De)},_updateAfterLayout:function(xe,De,Re){this._updateMeshLinesGeometry(),this._pointsBuilder.removePositionTexture(),this._pointsBuilder.updateLayout(xe,De,Re),this._pointsBuilder.updateView(this.viewGL.camera),this._pointsBuilder.updateLabels(),this._pointsBuilder.showLabels()},focusNodeAdjacency:function(xe,De,Re,Ne){var Ue=this._model.getData();this._downplayAll();var Ge=Ne.dataIndex,Xe=Ue.graph,Qe=[],nt=Xe.getNodeByIndex(Ge);Qe.push(nt),nt.edges.forEach(function(qe){qe.dataIndex<0||(qe.node1!==nt&&Qe.push(qe.node1),qe.node2!==nt&&Qe.push(qe.node2))},this),this._pointsBuilder.fadeOutAll(.05),this._fadeOutEdgesAll(.05),Qe.forEach(function(qe){this._pointsBuilder.highlight(Ue,qe.dataIndex)},this),this._pointsBuilder.updateLabels(Qe.map(function(qe){return qe.dataIndex}));var $e=[];nt.edges.forEach(function(qe){qe.dataIndex>=0&&(this._highlightEdge(qe.dataIndex),$e.push(qe))},this),this._focusNodes=Qe,this._focusEdges=$e},unfocusNodeAdjacency:function(xe,De,Re,Ne){this._downplayAll(),this._pointsBuilder.fadeInAll(),this._fadeInEdgesAll(),this._pointsBuilder.updateLabels()},_highlightEdge:function(xe){var De=this._model.getEdgeData().getItemModel(xe),Re=be.a.parseColor(De.get("emphasis.lineStyle.color")||De.get("lineStyle.color")),Ne=ye.a.firstNotNull(De.get("emphasis.lineStyle.opacity"),De.get("lineStyle.opacity"),1);Re[3]*=Ne,this._edgesMesh.geometry.setItemColor(this._edgeIndicesMap[xe],Re)},_downplayAll:function(){this._focusNodes&&this._focusNodes.forEach(function(xe){this._pointsBuilder.downplay(this._model.getData(),xe.dataIndex)},this),this._focusEdges&&this._focusEdges.forEach(function(xe){this._downplayEdge(xe.dataIndex)},this)},_downplayEdge:function(xe){var De=this._getColor(xe,[]);this._edgesMesh.geometry.setItemColor(this._edgeIndicesMap[xe],De)},_setEdgeFade:function(){var xe=[];return function(De,Re){this._getColor(De,xe),xe[3]*=Re,this._edgesMesh.geometry.setItemColor(this._edgeIndicesMap[De],xe)}}(),_getColor:function(xe,De){for(var Re=0;Re<4;Re++)De[Re]=this._originalEdgeColors[xe*4+Re];return De},_fadeOutEdgesAll:function(xe){var De=this._model.getData().graph;De.eachEdge(function(Re){this._setEdgeFade(Re.dataIndex,xe)},this)},_fadeInEdgesAll:function(){this._fadeOutEdgesAll(1)},_updateCamera:function(xe,De){this.viewGL.setViewport(0,0,De.getWidth(),De.getHeight(),De.getDevicePixelRatio());for(var Re=this.viewGL.camera,Ne=xe.getData(),Ue=Ne.getLayout("points"),Ge=ue.create(1/0,1/0),Xe=ue.create(-1/0,-1/0),Qe=[],nt=0;ntRe.left&&qeRe.top)){var ut=Math.max(Xe[0]-Ge[0],10),at=ut/De.getWidth()*De.getHeight();ut*=1.4,at*=1.4,Ge[0]-=ut*.2,Re.left=Ge[0],Re.top=$e-at/2,Re.bottom=$e+at/2,Re.right=ut+Ge[0],Re.near=0,Re.far=100}},dispose:function(){var xe=this.viewGL.layer.renderer;this._forceLayoutInstance&&this._forceLayoutInstance.dispose(xe),this.groupGL.removeAll(),this._layoutId=-1},remove:function(){this.groupGL.removeAll(),this._control.dispose()}})},function(He,Fe,Ce){"use strict";var _e=Ce(0),Pe=Ce.n(_e),ge=Ce(2),Ee=Ce(14),be=Ce(10),we=Ce(248);ge.a.Shader.import(we.a);var pe={repulsionByDegree:!0,linLogMode:!1,strongGravityMode:!1,gravity:1,scaling:1,edgeWeightInfluence:1,jitterTolerence:.1,preventOverlap:!1,dissuadeHubs:!1,gravityCenter:null};function ye(Se){var ce={type:ge.a.Texture.FLOAT,minFilter:ge.a.Texture.NEAREST,magFilter:ge.a.Texture.NEAREST};this._positionSourceTex=new ge.a.Texture2D(ce),this._positionSourceTex.flipY=!1,this._positionTex=new ge.a.Texture2D(ce),this._positionPrevTex=new ge.a.Texture2D(ce),this._forceTex=new ge.a.Texture2D(ce),this._forcePrevTex=new ge.a.Texture2D(ce),this._weightedSumTex=new ge.a.Texture2D(ce),this._weightedSumTex.width=this._weightedSumTex.height=1,this._globalSpeedTex=new ge.a.Texture2D(ce),this._globalSpeedPrevTex=new ge.a.Texture2D(ce),this._globalSpeedTex.width=this._globalSpeedTex.height=1,this._globalSpeedPrevTex.width=this._globalSpeedPrevTex.height=1,this._nodeRepulsionPass=new Ee.a({fragment:ge.a.Shader.source("ecgl.forceAtlas2.updateNodeRepulsion")}),this._positionPass=new Ee.a({fragment:ge.a.Shader.source("ecgl.forceAtlas2.updatePosition")}),this._globalSpeedPass=new Ee.a({fragment:ge.a.Shader.source("ecgl.forceAtlas2.calcGlobalSpeed")}),this._copyPass=new Ee.a({fragment:ge.a.Shader.source("clay.compositor.output")});var te=function(ne){ne.blendEquation(ne.FUNC_ADD),ne.blendFunc(ne.ONE,ne.ONE)};this._edgeForceMesh=new ge.a.Mesh({geometry:new ge.a.Geometry({attributes:{node1:new ge.a.Geometry.Attribute("node1","float",2),node2:new ge.a.Geometry.Attribute("node2","float",2),weight:new ge.a.Geometry.Attribute("weight","float",1)},dynamic:!0,mainAttribute:"node1"}),material:new ge.a.Material({transparent:!0,shader:ge.a.createShader("ecgl.forceAtlas2.updateEdgeAttraction"),blend:te,depthMask:!1,depthText:!1}),mode:ge.a.Mesh.POINTS}),this._weightedSumMesh=new ge.a.Mesh({geometry:new ge.a.Geometry({attributes:{node:new ge.a.Geometry.Attribute("node","float",2)},dynamic:!0,mainAttribute:"node"}),material:new ge.a.Material({transparent:!0,shader:ge.a.createShader("ecgl.forceAtlas2.calcWeightedSum"),blend:te,depthMask:!1,depthText:!1}),mode:ge.a.Mesh.POINTS}),this._framebuffer=new be.a({depthBuffer:!1}),this._dummyCamera=new ge.a.OrthographicCamera({left:-1,right:1,top:1,bottom:-1,near:0,far:100}),this._globalSpeed=0}ye.prototype.updateOption=function(Se){for(var ce in pe)this[ce]=pe[ce];var te=this._nodes.length;if(te>5e4?this.jitterTolerence=10:te>5e3?this.jitterTolerence=1:this.jitterTolerence=.1,te>100?this.scaling=2:this.scaling=10,Se)for(var ce in pe)Se[ce]!=null&&(this[ce]=Se[ce]);if(this.repulsionByDegree)for(var ne=this._positionSourceTex.pixels,le=0;leSe},ye.prototype._swapTexture=function(){var Se=this._positionPrevTex;this._positionPrevTex=this._positionTex,this._positionTex=Se;var Se=this._forcePrevTex;this._forcePrevTex=this._forceTex,this._forceTex=Se;var Se=this._globalSpeedPrevTex;this._globalSpeedPrevTex=this._globalSpeedTex,this._globalSpeedTex=Se},ye.prototype._initFromSource=function(Se){this._framebuffer.attach(this._positionPrevTex),this._framebuffer.bind(Se),this._copyPass.setUniform("texture",this._positionSourceTex),this._copyPass.render(Se),Se.gl.clearColor(0,0,0,0),this._framebuffer.attach(this._forcePrevTex),Se.gl.clear(Se.gl.COLOR_BUFFER_BIT),this._framebuffer.attach(this._globalSpeedPrevTex),Se.gl.clear(Se.gl.COLOR_BUFFER_BIT),this._framebuffer.unbind(Se)},ye.prototype._resize=function(Se,ce){["_positionSourceTex","_positionTex","_positionPrevTex","_forceTex","_forcePrevTex"].forEach(function(te){this[te].width=Se,this[te].height=ce,this[te].dirty()},this)},ye.prototype.dispose=function(Se){this._framebuffer.dispose(Se),this._copyPass.dispose(Se),this._nodeRepulsionPass.dispose(Se),this._positionPass.dispose(Se),this._globalSpeedPass.dispose(Se),this._edgeForceMesh.geometry.dispose(Se),this._weightedSumMesh.geometry.dispose(Se),this._positionSourceTex.dispose(Se),this._positionTex.dispose(Se),this._positionPrevTex.dispose(Se),this._forceTex.dispose(Se),this._forcePrevTex.dispose(Se),this._weightedSumTex.dispose(Se),this._globalSpeedTex.dispose(Se),this._globalSpeedPrevTex.dispose(Se)},Pe.a.ForceAtlas2GPU=ye,Fe.a=ye},function(He,Fe,Ce){"use strict";Fe.a=`@export ecgl.forceAtlas2.updateNodeRepulsion +@end`},function(He,Fe,Ce){"use strict";var _e=Ce(0),Pe=Ce.n(_e);Pe.a.extendSeriesModel({type:"series.lines3D",dependencies:["globe"],visualColorAccessPath:"lineStyle.color",getInitialData:function(ge,Ee){var be=new Pe.a.List(["value"],this);return be.hasItemOption=!1,be.initData(ge.data,[],function(we,pe,ye,Se){if(we instanceof Array)return NaN;be.hasItemOption=!0;var ce=we.value;if(ce!=null)return ce instanceof Array?ce[Se]:ce}),be},defaultOption:{coordinateSystem:"globe",globeIndex:0,geo3DIndex:0,zlevel:-10,polyline:!1,effect:{show:!1,period:4,trailWidth:4,trailLength:.2,spotIntensity:6},silent:!0,blendMode:"source-over",lineStyle:{width:1,opacity:.5}}})},function(He,Fe,Ce){"use strict";var _e=Ce(0),Pe=Ce.n(_e),ge=Ce(227),Ee=Ce(228),be=Ce(16);Pe.a.registerVisual(Object(be.a)("polygons3D"))},function(He,Fe,Ce){"use strict";var _e=Ce(0),Pe=Ce.n(_e),ge=Ce(26);function Ee(pe,ye){for(var Se=[],ce=0;ce0;this._updateSurfaceMesh(this._surfaceMesh,ce,xe,Ne);var ze=this._surfaceMesh.material;Ne?(ze.define("WIREFRAME_QUAD"),ze.set("wireframeLineWidth",Re),ze.set("wireframeLineColor",ge.a.parseColor(De.get("lineStyle.color")))):ze.undefine("WIREFRAME_QUAD"),this._initHandler(ce,ne),this._updateAnimation(ce)},_updateAnimation:function(ce){ge.a.updateVertexAnimation([["prevPosition","position"],["prevNormal","normal"]],this._prevSurfaceMesh,this._surfaceMesh,ce)},_createSurfaceMesh:function(){var ce=new ge.a.Mesh({geometry:new ge.a.Geometry({dynamic:!0,sortTriangles:!0}),shadowDepthMaterial:new ge.a.Material({shader:new ge.a.Shader(ge.a.Shader.source("ecgl.sm.depth.vertex"),ge.a.Shader.source("ecgl.sm.depth.fragment"))}),culling:!1,renderOrder:10,renderNormal:!0});return ce.geometry.createAttribute("barycentric","float",4),ce.geometry.createAttribute("prevPosition","float",3),ce.geometry.createAttribute("prevNormal","float",3),Pe.a.util.extend(ce.geometry,pe.a),ce},_initHandler:function(ce,te){var ne=ce.getData(),le=this._surfaceMesh,oe=ce.coordinateSystem;function de(ie,ue){for(var ve=1/0,xe=-1,De=[],Re=0;Re=0){var ve=[];le.geometry.attributes.position.get(ue,ve);for(var xe=oe.pointToData(ve),De=1/0,Re=-1,Ne=[],ze=0;ze65535?Uint32Array:Uint16Array)((ze-1)*(Ge-1)*6),it=function(Mt,ln,Dn){Dn[1]=Mt*Ge+ln,Dn[0]=Mt*Ge+ln+1,Dn[3]=(Mt+1)*Ge+ln+1,Dn[2]=(Mt+1)*Ge+ln},ft=!1;if(ue){var rt=[],ct=[],yt=0;Qe?xe.init(oe.vertexCount):xe.value=null;for(var mt=[[],[],[]],ht=[],gt=[],Wt=ye.create(),Zt=function(Mt,ln,Dn){var Hn=ln*3;return Dn[0]=Mt[Hn],Dn[1]=Mt[Hn+1],Dn[2]=Mt[Hn+2],Dn},en=new Float32Array(he.length),dn=new Float32Array(he.length/3*4),Lt=0;Lt ")),te.value&&(de+=" : "+Pe.a.format.encodeHTML(te.value)),de}else return be.superApply(this,"formatTooltip",arguments)},_updateCategoriesData:function(){var pe=(this.option.categories||[]).map(function(Se){return Se.value!=null?Se:Pe.a.util.extend({value:0},Se)}),ye=new Pe.a.List(["value"],this);ye.initData(pe),this._categoriesData=ye,this._categoriesModels=ye.mapArray(function(Se){return ye.getItemModel(Se,!0)})},setView:function(pe){pe.zoom!=null&&(this.option.zoom=pe.zoom),pe.offset!=null&&(this.option.offset=pe.offset)},setNodePosition:function(pe){for(var ye=0;ye "+xe)),ie++)}var De,Re=Pe.a.helper.completeDimensions(["value"],ye);De=new Pe.a.List(Re,ce),De.initData(ye);var Ne=new Pe.a.List(["value"],ce);return Ne.initData(he,de),ne&&ne(De,Ne),we()({mainData:De,struct:le,structAttr:"graph",datas:{node:De,edge:Ne},datasAttr:{node:"data",edge:"edgeData"}}),le.update(),le}},function(He,Fe,Ce){var _e=Ce(85),Pe=_e.__DEV__,ge=Ce(12),Ee=Ce(244),be=Ee.enableClassCheck;function we(le){return"_EC_"+le}var pe=function(le){this._directed=le||!1,this.nodes=[],this.edges=[],this._nodesMap={},this._edgesMap={},this.data,this.edgeData},ye=pe.prototype;ye.type="graph",ye.isDirected=function(){return this._directed},ye.addNode=function(le,oe){le=le||""+oe;var de=this._nodesMap;if(!de[we(le)]){var he=new Se(le,oe);return he.hostGraph=this,this.nodes.push(he),de[we(le)]=he,he}},ye.getNodeByIndex=function(le){var oe=this.data.getRawIndex(le);return this.nodes[oe]},ye.getNodeById=function(le){return this._nodesMap[we(le)]},ye.addEdge=function(le,oe,de){var he=this._nodesMap,ie=this._edgesMap;if(typeof le=="number"&&(le=this.nodes[le]),typeof oe=="number"&&(oe=this.nodes[oe]),Se.isInstance(le)||(le=he[we(le)]),Se.isInstance(oe)||(oe=he[we(oe)]),!(!le||!oe)){var ue=le.id+"-"+oe.id;if(!ie[ue]){var ve=new ce(le,oe,de);return ve.hostGraph=this,this._directed&&(le.outEdges.push(ve),oe.inEdges.push(ve)),le.edges.push(ve),le!==oe&&oe.edges.push(ve),this.edges.push(ve),ie[ue]=ve,ve}}},ye.getEdgeByIndex=function(le){var oe=this.edgeData.getRawIndex(le);return this.edges[oe]},ye.getEdge=function(le,oe){Se.isInstance(le)&&(le=le.id),Se.isInstance(oe)&&(oe=oe.id);var de=this._edgesMap;return this._directed?de[le+"-"+oe]:de[le+"-"+oe]||de[oe+"-"+le]},ye.eachNode=function(le,oe){for(var de=this.nodes,he=de.length,ie=0;ie=0&&le.call(oe,de[ie],ie)},ye.eachEdge=function(le,oe){for(var de=this.edges,he=de.length,ie=0;ie=0&&de[ie].node1.dataIndex>=0&&de[ie].node2.dataIndex>=0&&le.call(oe,de[ie],ie)},ye.breadthFirstTraverse=function(le,oe,de,he){if(Se.isInstance(oe)||(oe=this._nodesMap[we(oe)]),!!oe){for(var ie=de==="out"?"outEdges":de==="in"?"inEdges":"edges",ue=0;ue=0&&xe.node2.dataIndex>=0});for(var ie=0,ue=he.length;ie=0&&this[le][oe].setItemVisual(this.dataIndex,de,he)},getVisual:function(de,he){return this[le][oe].getItemVisual(this.dataIndex,de,he)},setLayout:function(de,he){this.dataIndex>=0&&this[le][oe].setItemLayout(this.dataIndex,de,he)},getLayout:function(){return this[le][oe].getItemLayout(this.dataIndex)},getGraphicEl:function(){return this[le][oe].getItemGraphicEl(this.dataIndex)},getRawIndex:function(){return this[le][oe].getRawIndex(this.dataIndex)}}};ge.mixin(Se,te("hostGraph","data")),ge.mixin(ce,te("hostGraph","edgeData")),pe.Node=Se,pe.Edge=ce,be(Se),be(ce);var ne=pe;He.exports=ne},function(He,Fe){var Ce;Ce=function(){return this}();try{Ce=Ce||Function("return this")()||(0,eval)("this")}catch(_e){typeof window=="object"&&(Ce=window)}He.exports=Ce},function(He,Fe,Ce){var _e=Ce(85),Pe=_e.__DEV__,ge=Ce(12),Ee=".",be="___EC__COMPONENT__CONTAINER___";function we(de){var he={main:"",sub:""};return de&&(de=de.split(Ee),he.main=de[0]||"",he.sub=de[1]||""),he}function pe(de){ge.assert(/^[a-zA-Z0-9_]+([.][a-zA-Z0-9_]+)?$/.test(de),'componentType "'+de+'" illegal')}function ye(de,he){de.$constructor=de,de.extend=function(ie){var ue=this,ve=function(){ie.$constructor?ie.$constructor.apply(this,arguments):ue.apply(this,arguments)};return ge.extend(ve.prototype,ie),ve.extend=this.extend,ve.superCall=te,ve.superApply=ne,ge.inherits(ve,this),ve.superClass=ue,ve}}var Se=0;function ce(de){var he=["__\0is_clz",Se++,Math.random().toFixed(3)].join("_");de.prototype[he]=!0,de.isInstance=function(ie){return!!(ie&&ie[he])}}function te(de,he){var ie=ge.slice(arguments,2);return this.superClass.prototype[he].apply(de,ie)}function ne(de,he,ie){return this.superClass.prototype[he].apply(de,ie)}function le(de,he){he=he||{};var ie={};de.registerClass=function(xe,De){if(De){if(pe(De),De=we(De),!De.sub)ie[De.main]=xe;else if(De.sub!==be){var Re=ue(De);Re[De.sub]=xe}}return xe},de.getClass=function(xe,De,Re){var Ne=ie[xe];if(Ne&&Ne[be]&&(Ne=De?Ne[De]:null),Re&&!Ne)throw new Error(De?"Component "+xe+"."+(De||"")+" not exists. Load it first.":xe+".type should be specified.");return Ne},de.getClassesByMainType=function(xe){xe=we(xe);var De=[],Re=ie[xe.main];return Re&&Re[be]?ge.each(Re,function(Ne,ze){ze!==be&&De.push(Ne)}):De.push(Re),De},de.hasClass=function(xe){return xe=we(xe),!!ie[xe.main]},de.getAllClassMainTypes=function(){var xe=[];return ge.each(ie,function(De,Re){xe.push(Re)}),xe},de.hasSubTypes=function(xe){xe=we(xe);var De=ie[xe.main];return De&&De[be]},de.parseClassType=we;function ue(xe){var De=ie[xe.main];return(!De||!De[be])&&(De=ie[xe.main]={},De[be]=!0),De}if(he.registerWhenExtend){var ve=de.extend;ve&&(de.extend=function(xe){var De=ve.call(this,xe);return de.registerClass(De,xe.type)})}return de}function oe(de,he){}Fe.parseClassType=we,Fe.enableClassExtend=ye,Fe.enableClassCheck=ce,Fe.enableClassManagement=le,Fe.setReadOnly=oe},function(He,Fe,Ce){var _e=Ce(12),Pe=_e.each,ge="\0__link_datas",Ee="\0__link_mainData";function be(oe){var de=oe.mainData,he=oe.datas;he||(he={main:de},oe.datasAttr={main:"data"}),oe.datas=oe.mainData=null,te(de,he,oe),Pe(he,function(ie){Pe(de.TRANSFERABLE_METHODS,function(ue){ie.wrapMethod(ue,_e.curry(we,oe))})}),de.wrapMethod("cloneShallow",_e.curry(ye,oe)),Pe(de.CHANGABLE_METHODS,function(ie){de.wrapMethod(ie,_e.curry(pe,oe))}),_e.assert(he[de.dataType]===de)}function we(oe,de){if(ce(this)){var he=_e.extend({},this[ge]);he[this.dataType]=de,te(de,he,oe)}else ne(de,this.dataType,this[Ee],oe);return de}function pe(oe,de){return oe.struct&&oe.struct.update(this),de}function ye(oe,de){return Pe(de[ge],function(he,ie){he!==de&&ne(he.cloneShallow(),ie,de,oe)}),de}function Se(oe){var de=this[Ee];return oe==null||de==null?de:de[ge][oe]}function ce(oe){return oe[Ee]===oe}function te(oe,de,he){oe[ge]={},Pe(de,function(ie,ue){ne(ie,ue,oe,he)})}function ne(oe,de,he,ie){he[ge][de]=oe,oe[Ee]=he,oe.dataType=de,ie.struct&&(oe[ie.structAttr]=ie.struct,ie.struct[ie.datasAttr[de]]=oe),oe.getLinkedData=Se}var le=be;He.exports=le},function(He,Fe,Ce){"use strict";var _e=Ce(0),Pe=Ce.n(_e),ge=Ce(41),Ee=Ce.n(ge),be=Ce(2),we=Ce(20),pe=Ce(86),ye=Ce(3),Se=Ce(247),ce=Ce(249),te=Ce(65),ne=Ce.n(te),le=Ce(1),oe=Ce.n(le),de=Ce(251),he=Ce(62),ie=Ce(252),ue=oe.a.vec2;be.a.Shader.import(ie.a);var ve=1;Pe.a.extendChartView({type:"graphGL",__ecgl__:!0,init:function(xe,De){this.groupGL=new be.a.Node,this.viewGL=new we.a("orthographic"),this.viewGL.camera.left=this.viewGL.camera.right=0,this.viewGL.add(this.groupGL),this._pointsBuilder=new he.a(!0,De),this._forceEdgesMesh=new be.a.Mesh({material:new be.a.Material({shader:be.a.createShader("ecgl.forceAtlas2.edges"),transparent:!0,depthMask:!1,depthTest:!1}),$ignorePicking:!0,geometry:new be.a.Geometry({attributes:{node:new be.a.Geometry.Attribute("node","float",2),color:new be.a.Geometry.Attribute("color","float",4,"COLOR")},dynamic:!0,mainAttribute:"node"}),renderOrder:-1,mode:be.a.Mesh.LINES}),this._edgesMesh=new be.a.Mesh({material:new be.a.Material({shader:be.a.createShader("ecgl.meshLines2D"),transparent:!0,depthMask:!1,depthTest:!1}),$ignorePicking:!0,geometry:new pe.a({useNativeLine:!1,dynamic:!0}),renderOrder:-1,culling:!1}),this._layoutId=0,this._control=new de.a({zr:De.getZr(),viewGL:this.viewGL}),this._control.setTarget(this.groupGL),this._control.init(),this._clickHandler=this._clickHandler.bind(this)},render:function(xe,De,Re){this.groupGL.add(this._pointsBuilder.rootNode),this._model=xe,this._api=Re,this._initLayout(xe,De,Re),this._pointsBuilder.update(xe,De,Re),this._forceLayoutInstance instanceof Se.a||this.groupGL.remove(this._forceEdgesMesh),this._updateCamera(xe,Re),this._control.off("update"),this._control.on("update",function(){Re.dispatchAction({type:"graphGLRoam",seriesId:xe.id,zoom:this._control.getZoom(),offset:this._control.getOffset()}),this._pointsBuilder.updateView(this.viewGL.camera)},this),this._control.setZoom(ye.a.firstNotNull(xe.get("zoom"),1)),this._control.setOffset(xe.get("offset")||[0,0]);var Ne=this._pointsBuilder.getPointsMesh();if(Ne.off("mousemove",this._mousemoveHandler),Ne.off("mouseout",this._mouseOutHandler,this),Re.getZr().off("click",this._clickHandler),this._pointsBuilder.highlightOnMouseover=!0,xe.get("focusNodeAdjacency")){var ze=xe.get("focusNodeAdjacencyOn");ze==="click"?Re.getZr().on("click",this._clickHandler):ze==="mouseover"?(Ne.on("mousemove",this._mousemoveHandler,this),Ne.on("mouseout",this._mouseOutHandler,this),this._pointsBuilder.highlightOnMouseover=!1):console.warn("Unkown focusNodeAdjacencyOn value s"+ze)}this._lastMouseOverDataIndex=-1},_clickHandler:function(xe){if(!this._layouting){var De=this._pointsBuilder.getPointsMesh().dataIndex;De>=0?this._api.dispatchAction({type:"graphGLFocusNodeAdjacency",seriesId:this._model.id,dataIndex:De}):this._api.dispatchAction({type:"graphGLUnfocusNodeAdjacency",seriesId:this._model.id})}},_mousemoveHandler:function(xe){if(!this._layouting){var De=this._pointsBuilder.getPointsMesh().dataIndex;De>=0?De!==this._lastMouseOverDataIndex&&this._api.dispatchAction({type:"graphGLFocusNodeAdjacency",seriesId:this._model.id,dataIndex:De}):this._mouseOutHandler(xe),this._lastMouseOverDataIndex=De}},_mouseOutHandler:function(xe){this._layouting||(this._api.dispatchAction({type:"graphGLUnfocusNodeAdjacency",seriesId:this._model.id}),this._lastMouseOverDataIndex=-1)},_updateForceEdgesGeometry:function(xe,De){var Re=this._forceEdgesMesh.geometry,Ne=De.getEdgeData(),ze=0,Ge=this._forceLayoutInstance,Xe=Ne.count()*2;Re.attributes.node.init(Xe),Re.attributes.color.init(Xe),Ne.each(function(Qe){var nt=xe[Qe];Re.attributes.node.set(ze,Ge.getNodeUV(nt.node1)),Re.attributes.node.set(ze+1,Ge.getNodeUV(nt.node2));var $e=Ne.getItemVisual(nt.dataIndex,"color"),qe=be.a.parseColor($e);qe[3]*=ye.a.firstNotNull(Ne.getItemVisual(nt.dataIndex,"opacity"),1),Re.attributes.color.set(ze,qe),Re.attributes.color.set(ze+1,qe),ze+=2}),Re.dirty()},_updateMeshLinesGeometry:function(){var De=this._model.getEdgeData(),xe=this._edgesMesh.geometry,De=this._model.getEdgeData(),Re=this._model.getData().getLayout("points");xe.resetOffset(),xe.setVertexCount(De.count()*xe.getLineVertexCount()),xe.setTriangleCount(De.count()*xe.getLineTriangleCount());var Ne=[],ze=[],Ge=["lineStyle","width"];this._originalEdgeColors=new Float32Array(De.count()*4),this._edgeIndicesMap=new Float32Array(De.count()),De.each(function(Xe){var Qe=De.graph.getEdgeByIndex(Xe),nt=Qe.node1.dataIndex*2,$e=Qe.node2.dataIndex*2;Ne[0]=Re[nt],Ne[1]=Re[nt+1],ze[0]=Re[$e],ze[1]=Re[$e+1];var qe=De.getItemVisual(Qe.dataIndex,"color"),lt=be.a.parseColor(qe);lt[3]*=ye.a.firstNotNull(De.getItemVisual(Qe.dataIndex,"opacity"),1);var it=De.getItemModel(Qe.dataIndex),ft=ye.a.firstNotNull(it.get(Ge),1)*this._api.getDevicePixelRatio();xe.addLine(Ne,ze,lt,ft);for(var rt=0;rt<4;rt++)this._originalEdgeColors[Qe.dataIndex*4+rt]=lt[rt];this._edgeIndicesMap[Qe.dataIndex]=Xe},!1,this),xe.dirty()},_updateForceNodesGeometry:function(xe){for(var De=this._pointsBuilder.getPointsMesh(),Re=[],Ne=0;Ne=rt&&($e._syncNodePosition(xe),ft=0),Ge.getZr().refresh(),ne()(function(){ct(yt)})})}};ne()(function(){$e._forceLayoutInstanceToDispose&&($e._forceLayoutInstanceToDispose.dispose(ze.layer.renderer),$e._forceLayoutInstanceToDispose=null),ct(qe)}),this._layouting=!0}}},stopLayout:function(xe,De,Re,Ne){Ne&&Ne.from!=null&&Ne.from!==this.uid||(this._layoutId=0,this.groupGL.remove(this._forceEdgesMesh),this.groupGL.add(this._edgesMesh),this._forceLayoutInstance&&this.viewGL.layer&&(Ne&&Ne.beforeLayout||(this._syncNodePosition(xe),this._updateAfterLayout(xe,De,Re)),this._api.getZr().refresh(),this._layouting=!1))},_syncNodePosition:function(xe){var De=this._forceLayoutInstance.getNodePosition(this.viewGL.layer.renderer);xe.getData().setLayout("points",De),xe.setNodePosition(De)},_updateAfterLayout:function(xe,De,Re){this._updateMeshLinesGeometry(),this._pointsBuilder.removePositionTexture(),this._pointsBuilder.updateLayout(xe,De,Re),this._pointsBuilder.updateView(this.viewGL.camera),this._pointsBuilder.updateLabels(),this._pointsBuilder.showLabels()},focusNodeAdjacency:function(xe,De,Re,Ne){var ze=this._model.getData();this._downplayAll();var Ge=Ne.dataIndex,Xe=ze.graph,Qe=[],nt=Xe.getNodeByIndex(Ge);Qe.push(nt),nt.edges.forEach(function(qe){qe.dataIndex<0||(qe.node1!==nt&&Qe.push(qe.node1),qe.node2!==nt&&Qe.push(qe.node2))},this),this._pointsBuilder.fadeOutAll(.05),this._fadeOutEdgesAll(.05),Qe.forEach(function(qe){this._pointsBuilder.highlight(ze,qe.dataIndex)},this),this._pointsBuilder.updateLabels(Qe.map(function(qe){return qe.dataIndex}));var $e=[];nt.edges.forEach(function(qe){qe.dataIndex>=0&&(this._highlightEdge(qe.dataIndex),$e.push(qe))},this),this._focusNodes=Qe,this._focusEdges=$e},unfocusNodeAdjacency:function(xe,De,Re,Ne){this._downplayAll(),this._pointsBuilder.fadeInAll(),this._fadeInEdgesAll(),this._pointsBuilder.updateLabels()},_highlightEdge:function(xe){var De=this._model.getEdgeData().getItemModel(xe),Re=be.a.parseColor(De.get("emphasis.lineStyle.color")||De.get("lineStyle.color")),Ne=ye.a.firstNotNull(De.get("emphasis.lineStyle.opacity"),De.get("lineStyle.opacity"),1);Re[3]*=Ne,this._edgesMesh.geometry.setItemColor(this._edgeIndicesMap[xe],Re)},_downplayAll:function(){this._focusNodes&&this._focusNodes.forEach(function(xe){this._pointsBuilder.downplay(this._model.getData(),xe.dataIndex)},this),this._focusEdges&&this._focusEdges.forEach(function(xe){this._downplayEdge(xe.dataIndex)},this)},_downplayEdge:function(xe){var De=this._getColor(xe,[]);this._edgesMesh.geometry.setItemColor(this._edgeIndicesMap[xe],De)},_setEdgeFade:function(){var xe=[];return function(De,Re){this._getColor(De,xe),xe[3]*=Re,this._edgesMesh.geometry.setItemColor(this._edgeIndicesMap[De],xe)}}(),_getColor:function(xe,De){for(var Re=0;Re<4;Re++)De[Re]=this._originalEdgeColors[xe*4+Re];return De},_fadeOutEdgesAll:function(xe){var De=this._model.getData().graph;De.eachEdge(function(Re){this._setEdgeFade(Re.dataIndex,xe)},this)},_fadeInEdgesAll:function(){this._fadeOutEdgesAll(1)},_updateCamera:function(xe,De){this.viewGL.setViewport(0,0,De.getWidth(),De.getHeight(),De.getDevicePixelRatio());for(var Re=this.viewGL.camera,Ne=xe.getData(),ze=Ne.getLayout("points"),Ge=ue.create(1/0,1/0),Xe=ue.create(-1/0,-1/0),Qe=[],nt=0;ntRe.left&&qeRe.top)){var lt=Math.max(Xe[0]-Ge[0],10),it=lt/De.getWidth()*De.getHeight();lt*=1.4,it*=1.4,Ge[0]-=lt*.2,Re.left=Ge[0],Re.top=$e-it/2,Re.bottom=$e+it/2,Re.right=lt+Ge[0],Re.near=0,Re.far=100}},dispose:function(){var xe=this.viewGL.layer.renderer;this._forceLayoutInstance&&this._forceLayoutInstance.dispose(xe),this.groupGL.removeAll(),this._layoutId=-1},remove:function(){this.groupGL.removeAll(),this._control.dispose()}})},function(He,Fe,Ce){"use strict";var _e=Ce(0),Pe=Ce.n(_e),ge=Ce(2),Ee=Ce(14),be=Ce(10),we=Ce(248);ge.a.Shader.import(we.a);var pe={repulsionByDegree:!0,linLogMode:!1,strongGravityMode:!1,gravity:1,scaling:1,edgeWeightInfluence:1,jitterTolerence:.1,preventOverlap:!1,dissuadeHubs:!1,gravityCenter:null};function ye(Se){var ce={type:ge.a.Texture.FLOAT,minFilter:ge.a.Texture.NEAREST,magFilter:ge.a.Texture.NEAREST};this._positionSourceTex=new ge.a.Texture2D(ce),this._positionSourceTex.flipY=!1,this._positionTex=new ge.a.Texture2D(ce),this._positionPrevTex=new ge.a.Texture2D(ce),this._forceTex=new ge.a.Texture2D(ce),this._forcePrevTex=new ge.a.Texture2D(ce),this._weightedSumTex=new ge.a.Texture2D(ce),this._weightedSumTex.width=this._weightedSumTex.height=1,this._globalSpeedTex=new ge.a.Texture2D(ce),this._globalSpeedPrevTex=new ge.a.Texture2D(ce),this._globalSpeedTex.width=this._globalSpeedTex.height=1,this._globalSpeedPrevTex.width=this._globalSpeedPrevTex.height=1,this._nodeRepulsionPass=new Ee.a({fragment:ge.a.Shader.source("ecgl.forceAtlas2.updateNodeRepulsion")}),this._positionPass=new Ee.a({fragment:ge.a.Shader.source("ecgl.forceAtlas2.updatePosition")}),this._globalSpeedPass=new Ee.a({fragment:ge.a.Shader.source("ecgl.forceAtlas2.calcGlobalSpeed")}),this._copyPass=new Ee.a({fragment:ge.a.Shader.source("clay.compositor.output")});var te=function(ne){ne.blendEquation(ne.FUNC_ADD),ne.blendFunc(ne.ONE,ne.ONE)};this._edgeForceMesh=new ge.a.Mesh({geometry:new ge.a.Geometry({attributes:{node1:new ge.a.Geometry.Attribute("node1","float",2),node2:new ge.a.Geometry.Attribute("node2","float",2),weight:new ge.a.Geometry.Attribute("weight","float",1)},dynamic:!0,mainAttribute:"node1"}),material:new ge.a.Material({transparent:!0,shader:ge.a.createShader("ecgl.forceAtlas2.updateEdgeAttraction"),blend:te,depthMask:!1,depthText:!1}),mode:ge.a.Mesh.POINTS}),this._weightedSumMesh=new ge.a.Mesh({geometry:new ge.a.Geometry({attributes:{node:new ge.a.Geometry.Attribute("node","float",2)},dynamic:!0,mainAttribute:"node"}),material:new ge.a.Material({transparent:!0,shader:ge.a.createShader("ecgl.forceAtlas2.calcWeightedSum"),blend:te,depthMask:!1,depthText:!1}),mode:ge.a.Mesh.POINTS}),this._framebuffer=new be.a({depthBuffer:!1}),this._dummyCamera=new ge.a.OrthographicCamera({left:-1,right:1,top:1,bottom:-1,near:0,far:100}),this._globalSpeed=0}ye.prototype.updateOption=function(Se){for(var ce in pe)this[ce]=pe[ce];var te=this._nodes.length;if(te>5e4?this.jitterTolerence=10:te>5e3?this.jitterTolerence=1:this.jitterTolerence=.1,te>100?this.scaling=2:this.scaling=10,Se)for(var ce in pe)Se[ce]!=null&&(this[ce]=Se[ce]);if(this.repulsionByDegree)for(var ne=this._positionSourceTex.pixels,le=0;leSe},ye.prototype._swapTexture=function(){var Se=this._positionPrevTex;this._positionPrevTex=this._positionTex,this._positionTex=Se;var Se=this._forcePrevTex;this._forcePrevTex=this._forceTex,this._forceTex=Se;var Se=this._globalSpeedPrevTex;this._globalSpeedPrevTex=this._globalSpeedTex,this._globalSpeedTex=Se},ye.prototype._initFromSource=function(Se){this._framebuffer.attach(this._positionPrevTex),this._framebuffer.bind(Se),this._copyPass.setUniform("texture",this._positionSourceTex),this._copyPass.render(Se),Se.gl.clearColor(0,0,0,0),this._framebuffer.attach(this._forcePrevTex),Se.gl.clear(Se.gl.COLOR_BUFFER_BIT),this._framebuffer.attach(this._globalSpeedPrevTex),Se.gl.clear(Se.gl.COLOR_BUFFER_BIT),this._framebuffer.unbind(Se)},ye.prototype._resize=function(Se,ce){["_positionSourceTex","_positionTex","_positionPrevTex","_forceTex","_forcePrevTex"].forEach(function(te){this[te].width=Se,this[te].height=ce,this[te].dirty()},this)},ye.prototype.dispose=function(Se){this._framebuffer.dispose(Se),this._copyPass.dispose(Se),this._nodeRepulsionPass.dispose(Se),this._positionPass.dispose(Se),this._globalSpeedPass.dispose(Se),this._edgeForceMesh.geometry.dispose(Se),this._weightedSumMesh.geometry.dispose(Se),this._positionSourceTex.dispose(Se),this._positionTex.dispose(Se),this._positionPrevTex.dispose(Se),this._forceTex.dispose(Se),this._forcePrevTex.dispose(Se),this._weightedSumTex.dispose(Se),this._globalSpeedTex.dispose(Se),this._globalSpeedPrevTex.dispose(Se)},Pe.a.ForceAtlas2GPU=ye,Fe.a=ye},function(He,Fe,Ce){"use strict";Fe.a=`@export ecgl.forceAtlas2.updateNodeRepulsion #define NODE_COUNT 0 @@ -4246,7 +4246,7 @@ varying vec4 v_Color; void main() { gl_FragColor = color * v_Color; } -@end`},function(He,Fe,Ce){"use strict";var _e=Ce(5),Pe=Ce(6),ge=Ce(250),Ee=ge.a.toString();Ee=Ee.slice(Ee.indexOf("{")+1,Ee.lastIndexOf("}"));var be={barnesHutOptimize:!0,barnesHutTheta:1.5,repulsionByDegree:!0,linLogMode:!1,strongGravityMode:!1,gravity:1,scaling:1,edgeWeightInfluence:1,jitterTolerence:.1,preventOverlap:!1,dissuadeHubs:!1,gravityCenter:null},we=function(pe){for(var ye in be)this[ye]=be[ye];if(pe)for(var ye in pe)this[ye]=pe[ye];this._nodes=[],this._edges=[],this._disposed=!1,this._positionTex=new _e.a({type:Pe.a.FLOAT,flipY:!1,minFilter:Pe.a.NEAREST,magFilter:Pe.a.NEAREST})};we.prototype.initData=function(pe,ye){var Se=new Blob([Ee]),ce=window.URL.createObjectURL(Se);this._worker=new Worker(ce),this._worker.onmessage=this._$onupdate.bind(this),this._nodes=pe,this._edges=ye,this._frame=0;for(var te=pe.length,ne=ye.length,le=new Float32Array(te*2),oe=new Float32Array(te),de=new Float32Array(te),he=new Float32Array(ne*2),ie=new Float32Array(ne),ue=0;ue5e4?ye.jitterTolerence=10:ne>5e3?ye.jitterTolerence=1:ye.jitterTolerence=.1,ne>100?ye.scaling=2:ye.scaling=10,ne>1e3?ye.barnesHutOptimize=!0:ye.barnesHutOptimize=!1,pe)for(var Se in be)pe[Se]!=null&&(ye[Se]=pe[Se]);if(!ye.gravityCenter){for(var le=[1/0,1/0],oe=[-1/0,-1/0],de=0;depe},we.prototype.getNodePosition=function(pe,ye){if(ye||(ye=new Float32Array(this._nodes.length*2)),this._positionArr)for(var Se=0;Se0&&(oe=1/Math.sqrt(oe),ce[0]=te[0]*oe,ce[1]=te[1]*oe),ce},negate:function(ce,te){return ce[0]=-te[0],ce[1]=-te[1],ce},copy:function(ce,te){return ce[0]=te[0],ce[1]=te[1],ce},set:function(ce,te,ne){return ce[0]=te,ce[1]=ne,ce}};function ge(){this.subRegions=[],this.nSubRegions=0,this.node=null,this.mass=0,this.centerOfMass=null,this.bbox=new Float32Array(4),this.size=0}var Ee=ge.prototype;Ee.beforeUpdate=function(){for(var ce=0;ce=ce&&this.bbox[1]<=te&&this.bbox[3]>=te},Ee.setBBox=function(ce,te,ne,le){this.bbox[0]=ce,this.bbox[1]=te,this.bbox[2]=ne,this.bbox[3]=le,this.size=(ne-ce+le-te)/2},Ee._newSubRegion=function(){var ce=this.subRegions[this.nSubRegions];return ce||(ce=new ge,this.subRegions[this.nSubRegions]=ce),this.nSubRegions++,ce},Ee._addNodeToSubRegion=function(ce){var te=this.findSubRegion(ce.position[0],ce.position[1]),ne=this.bbox;if(!te){var le=(ne[0]+ne[2])/2,oe=(ne[1]+ne[3])/2,de=(ne[2]-ne[0])/2,he=(ne[3]-ne[1])/2,ie=ce.position[0]>=le?1:0,ue=ce.position[1]>=oe?1:0,te=this._newSubRegion();te.setBBox(ie*de+ne[0],ue*he+ne[1],(ie+1)*de+ne[0],(ue+1)*he+ne[1])}te.addNode(ce)},Ee._updateCenterOfMass=function(ce){this.centerOfMass==null&&(this.centerOfMass=new Float32Array(2));var te=this.centerOfMass[0]*this.mass,ne=this.centerOfMass[1]*this.mass;te+=ce.position[0]*ce.mass,ne+=ce.position[1]*ce.mass,this.mass+=ce.mass,this.centerOfMass[0]=te/this.mass,this.centerOfMass[1]=ne/this.mass};function be(){this.position=new Float32Array(2),this.force=Pe.create(),this.forcePrev=Pe.create(),this.mass=1,this.inDegree=0,this.outDegree=0}function we(ce,te){this.source=ce,this.target=te,this.weight=1}function pe(){this.autoSettings=!0,this.barnesHutOptimize=!0,this.barnesHutTheta=1.5,this.repulsionByDegree=!0,this.linLogMode=!1,this.strongGravityMode=!1,this.gravity=1,this.scaling=1,this.edgeWeightInfluence=1,this.jitterTolerence=.1,this.preventOverlap=!1,this.dissuadeHubs=!1,this.rootRegion=new ge,this.rootRegion.centerOfMass=Pe.create(),this.nodes=[],this.edges=[],this.bbox=new Float32Array(4),this.gravityCenter=null,this._massArr=null,this._swingingArr=null,this._sizeArr=null,this._globalSpeed=0}var ye=pe.prototype;ye.initNodes=function(ce,te,ne){var le=te.length;this.nodes.length=0;for(var oe=typeof ne!="undefined",de=0;de0&&(this.strongGravityMode?this.applyNodeStrongGravity(le):this.applyNodeGravity(le))}for(var te=0;te0&&(De=Math.min(De/this._globalSpeed,1.5)*this._globalSpeed),this._globalSpeed=De;for(var te=0;te0&&(Re=Math.min(Ne*Re,10)/Ne,Pe.scaleAndAdd(ne.position,ne.position,ne.force,Re))}},ye.applyRegionToNodeRepulsion=function(){var ce=Pe.create();return function(ne,le){if(ne.node)this.applyNodeToNodeRepulsion(ne.node,le,!0);else{Pe.sub(ce,le.position,ne.centerOfMass);var oe=ce[0]*ce[0]+ce[1]*ce[1];if(oe>this.barnesHutTheta*ne.size*ne.size){var de=this.scaling*le.mass*ne.mass/oe;Pe.scaleAndAdd(le.force,le.force,ce,de)}else for(var he=0;he0)he=this.scaling*ne.mass*le.mass/(ie*ie);else if(ie<0)he=this.scaling*100*ne.mass*le.mass;else return}else he=this.scaling*ne.mass*le.mass/de;Pe.scaleAndAdd(ne.force,ne.force,ce,he),Pe.scaleAndAdd(le.force,le.force,ce,-he)}}}}(),ye.applyEdgeAttraction=function(){var ce=Pe.create();return function(ne){var le=ne.source,oe=ne.target;Pe.sub(ce,le.position,oe.position);var de=Pe.len(ce),he;this.edgeWeightInfluence===0?he=1:this.edgeWeightInfluence===1?he=ne.weight:he=Math.pow(ne.weight,this.edgeWeightInfluence);var ie;this.preventOverlap&&(de=de-le.size-oe.size,de<=0)||(this.linLogMode?ie=-he*Math.log(de+1)/(de+1):ie=-he,Pe.scaleAndAdd(le.force,le.force,ce,ie),Pe.scaleAndAdd(oe.force,oe.force,ce,-ie))}}(),ye.applyNodeGravity=function(){var ce=Pe.create();return function(te){Pe.sub(ce,this.gravityCenter,te.position);var ne=Pe.len(ce);Pe.scaleAndAdd(te.force,te.force,ce,this.gravity*te.mass/(ne+1))}}(),ye.applyNodeStrongGravity=function(){var ce=Pe.create();return function(te){Pe.sub(ce,this.gravityCenter,te.position),Pe.scaleAndAdd(te.force,te.force,ce,this.gravity*te.mass)}}(),ye.updateBBox=function(){for(var ce=1/0,te=1/0,ne=-1/0,le=-1/0,oe=0;oe0?1.1:.9,Se=Math.max(Math.min(this._zoom*ye,this.maxZoom),this.minZoom);ye=Se/this._zoom;var ce=this._convertPos(we,pe),te=(ce.x-this._dx)*(ye-1),ne=(ce.y-this._dy)*(ye-1);this._dx-=te,this._dy-=ne,this._zoom=Se,this._needsUpdate=!0}}},dispose:function(){var Ee=this.zr;Ee.off("mousedown",this._mouseDownHandler),Ee.off("mousemove",this._mouseMoveHandler),Ee.off("mouseup",this._mouseUpHandler),Ee.off("mousewheel",this._mouseWheelHandler),Ee.off("globalout",this._mouseUpHandler),Ee.animation.off("frame",this._update)}});Fe.a=ge},function(He,Fe,Ce){"use strict";Fe.a=`@export ecgl.lines2D.vertex +@end`},function(He,Fe,Ce){"use strict";var _e=Ce(5),Pe=Ce(6),ge=Ce(250),Ee=ge.a.toString();Ee=Ee.slice(Ee.indexOf("{")+1,Ee.lastIndexOf("}"));var be={barnesHutOptimize:!0,barnesHutTheta:1.5,repulsionByDegree:!0,linLogMode:!1,strongGravityMode:!1,gravity:1,scaling:1,edgeWeightInfluence:1,jitterTolerence:.1,preventOverlap:!1,dissuadeHubs:!1,gravityCenter:null},we=function(pe){for(var ye in be)this[ye]=be[ye];if(pe)for(var ye in pe)this[ye]=pe[ye];this._nodes=[],this._edges=[],this._disposed=!1,this._positionTex=new _e.a({type:Pe.a.FLOAT,flipY:!1,minFilter:Pe.a.NEAREST,magFilter:Pe.a.NEAREST})};we.prototype.initData=function(pe,ye){var Se=new Blob([Ee]),ce=window.URL.createObjectURL(Se);this._worker=new Worker(ce),this._worker.onmessage=this._$onupdate.bind(this),this._nodes=pe,this._edges=ye,this._frame=0;for(var te=pe.length,ne=ye.length,le=new Float32Array(te*2),oe=new Float32Array(te),de=new Float32Array(te),he=new Float32Array(ne*2),ie=new Float32Array(ne),ue=0;ue5e4?ye.jitterTolerence=10:ne>5e3?ye.jitterTolerence=1:ye.jitterTolerence=.1,ne>100?ye.scaling=2:ye.scaling=10,ne>1e3?ye.barnesHutOptimize=!0:ye.barnesHutOptimize=!1,pe)for(var Se in be)pe[Se]!=null&&(ye[Se]=pe[Se]);if(!ye.gravityCenter){for(var le=[1/0,1/0],oe=[-1/0,-1/0],de=0;depe},we.prototype.getNodePosition=function(pe,ye){if(ye||(ye=new Float32Array(this._nodes.length*2)),this._positionArr)for(var Se=0;Se0&&(oe=1/Math.sqrt(oe),ce[0]=te[0]*oe,ce[1]=te[1]*oe),ce},negate:function(ce,te){return ce[0]=-te[0],ce[1]=-te[1],ce},copy:function(ce,te){return ce[0]=te[0],ce[1]=te[1],ce},set:function(ce,te,ne){return ce[0]=te,ce[1]=ne,ce}};function ge(){this.subRegions=[],this.nSubRegions=0,this.node=null,this.mass=0,this.centerOfMass=null,this.bbox=new Float32Array(4),this.size=0}var Ee=ge.prototype;Ee.beforeUpdate=function(){for(var ce=0;ce=ce&&this.bbox[1]<=te&&this.bbox[3]>=te},Ee.setBBox=function(ce,te,ne,le){this.bbox[0]=ce,this.bbox[1]=te,this.bbox[2]=ne,this.bbox[3]=le,this.size=(ne-ce+le-te)/2},Ee._newSubRegion=function(){var ce=this.subRegions[this.nSubRegions];return ce||(ce=new ge,this.subRegions[this.nSubRegions]=ce),this.nSubRegions++,ce},Ee._addNodeToSubRegion=function(ce){var te=this.findSubRegion(ce.position[0],ce.position[1]),ne=this.bbox;if(!te){var le=(ne[0]+ne[2])/2,oe=(ne[1]+ne[3])/2,de=(ne[2]-ne[0])/2,he=(ne[3]-ne[1])/2,ie=ce.position[0]>=le?1:0,ue=ce.position[1]>=oe?1:0,te=this._newSubRegion();te.setBBox(ie*de+ne[0],ue*he+ne[1],(ie+1)*de+ne[0],(ue+1)*he+ne[1])}te.addNode(ce)},Ee._updateCenterOfMass=function(ce){this.centerOfMass==null&&(this.centerOfMass=new Float32Array(2));var te=this.centerOfMass[0]*this.mass,ne=this.centerOfMass[1]*this.mass;te+=ce.position[0]*ce.mass,ne+=ce.position[1]*ce.mass,this.mass+=ce.mass,this.centerOfMass[0]=te/this.mass,this.centerOfMass[1]=ne/this.mass};function be(){this.position=new Float32Array(2),this.force=Pe.create(),this.forcePrev=Pe.create(),this.mass=1,this.inDegree=0,this.outDegree=0}function we(ce,te){this.source=ce,this.target=te,this.weight=1}function pe(){this.autoSettings=!0,this.barnesHutOptimize=!0,this.barnesHutTheta=1.5,this.repulsionByDegree=!0,this.linLogMode=!1,this.strongGravityMode=!1,this.gravity=1,this.scaling=1,this.edgeWeightInfluence=1,this.jitterTolerence=.1,this.preventOverlap=!1,this.dissuadeHubs=!1,this.rootRegion=new ge,this.rootRegion.centerOfMass=Pe.create(),this.nodes=[],this.edges=[],this.bbox=new Float32Array(4),this.gravityCenter=null,this._massArr=null,this._swingingArr=null,this._sizeArr=null,this._globalSpeed=0}var ye=pe.prototype;ye.initNodes=function(ce,te,ne){var le=te.length;this.nodes.length=0;for(var oe=typeof ne!="undefined",de=0;de0&&(this.strongGravityMode?this.applyNodeStrongGravity(le):this.applyNodeGravity(le))}for(var te=0;te0&&(De=Math.min(De/this._globalSpeed,1.5)*this._globalSpeed),this._globalSpeed=De;for(var te=0;te0&&(Re=Math.min(Ne*Re,10)/Ne,Pe.scaleAndAdd(ne.position,ne.position,ne.force,Re))}},ye.applyRegionToNodeRepulsion=function(){var ce=Pe.create();return function(ne,le){if(ne.node)this.applyNodeToNodeRepulsion(ne.node,le,!0);else{Pe.sub(ce,le.position,ne.centerOfMass);var oe=ce[0]*ce[0]+ce[1]*ce[1];if(oe>this.barnesHutTheta*ne.size*ne.size){var de=this.scaling*le.mass*ne.mass/oe;Pe.scaleAndAdd(le.force,le.force,ce,de)}else for(var he=0;he0)he=this.scaling*ne.mass*le.mass/(ie*ie);else if(ie<0)he=this.scaling*100*ne.mass*le.mass;else return}else he=this.scaling*ne.mass*le.mass/de;Pe.scaleAndAdd(ne.force,ne.force,ce,he),Pe.scaleAndAdd(le.force,le.force,ce,-he)}}}}(),ye.applyEdgeAttraction=function(){var ce=Pe.create();return function(ne){var le=ne.source,oe=ne.target;Pe.sub(ce,le.position,oe.position);var de=Pe.len(ce),he;this.edgeWeightInfluence===0?he=1:this.edgeWeightInfluence===1?he=ne.weight:he=Math.pow(ne.weight,this.edgeWeightInfluence);var ie;this.preventOverlap&&(de=de-le.size-oe.size,de<=0)||(this.linLogMode?ie=-he*Math.log(de+1)/(de+1):ie=-he,Pe.scaleAndAdd(le.force,le.force,ce,ie),Pe.scaleAndAdd(oe.force,oe.force,ce,-ie))}}(),ye.applyNodeGravity=function(){var ce=Pe.create();return function(te){Pe.sub(ce,this.gravityCenter,te.position);var ne=Pe.len(ce);Pe.scaleAndAdd(te.force,te.force,ce,this.gravity*te.mass/(ne+1))}}(),ye.applyNodeStrongGravity=function(){var ce=Pe.create();return function(te){Pe.sub(ce,this.gravityCenter,te.position),Pe.scaleAndAdd(te.force,te.force,ce,this.gravity*te.mass)}}(),ye.updateBBox=function(){for(var ce=1/0,te=1/0,ne=-1/0,le=-1/0,oe=0;oe0?1.1:.9,Se=Math.max(Math.min(this._zoom*ye,this.maxZoom),this.minZoom);ye=Se/this._zoom;var ce=this._convertPos(we,pe),te=(ce.x-this._dx)*(ye-1),ne=(ce.y-this._dy)*(ye-1);this._dx-=te,this._dy-=ne,this._zoom=Se,this._needsUpdate=!0}}},dispose:function(){var Ee=this.zr;Ee.off("mousedown",this._mouseDownHandler),Ee.off("mousemove",this._mouseMoveHandler),Ee.off("mouseup",this._mouseUpHandler),Ee.off("mousewheel",this._mouseWheelHandler),Ee.off("globalout",this._mouseUpHandler),Ee.animation.off("frame",this._update)}});Fe.a=ge},function(He,Fe,Ce){"use strict";Fe.a=`@export ecgl.lines2D.vertex uniform mat4 worldViewProjection : WORLDVIEWPROJECTION; @@ -4323,7 +4323,7 @@ void main() gl_FragColor = color * v_Color; } -@end`},function(He,Fe,Ce){"use strict";var _e=Ce(0),Pe=Ce.n(_e),ge=Ce(254),Ee=Ce(258)},function(He,Fe,Ce){"use strict";var _e=Ce(0),Pe=Ce.n(_e),ge=Ce(2),Ee=Ce(3),be=Ce(20),we=Ce(255);Pe.a.extendChartView({type:"flowGL",__ecgl__:!0,init:function(pe,ye){this.viewGL=new be.a("orthographic"),this.groupGL=new ge.a.Node,this.viewGL.add(this.groupGL),this._particleSurface=new we.a;var Se=new ge.a.Mesh({geometry:new ge.a.PlaneGeometry,material:new ge.a.Material({shader:new ge.a.Shader({vertex:ge.a.Shader.source("ecgl.color.vertex"),fragment:ge.a.Shader.source("ecgl.color.fragment")}),transparent:!0})});Se.material.enableTexture("diffuseMap"),this.groupGL.add(Se),this._planeMesh=Se},render:function(pe,ye,Se){var ce=this._particleSurface;ce.setParticleType(pe.get("particleType")),ce.setSupersampling(pe.get("supersampling")),this._updateData(pe,Se),this._updateCamera(Se.getWidth(),Se.getHeight(),Se.getDevicePixelRatio());var te=Ee.a.firstNotNull(pe.get("particleDensity"),128);ce.setParticleDensity(te,te);var ne=this._planeMesh,le=+new Date,oe=this,de=!0;ne.__percent=0,ne.stopAnimation(),ne.animate("",{loop:!0}).when(1e5,{__percent:1}).during(function(){var ue=+new Date,ve=Math.min(ue-le,20);le=le+ve,oe._renderer&&(ce.update(oe._renderer,Se,ve/1e3,de),ne.material.set("diffuseMap",ce.getSurfaceTexture())),de=!1}).start();var he=pe.getModel("itemStyle"),ie=ge.a.parseColor(he.get("color"));ie[3]*=Ee.a.firstNotNull(he.get("opacity"),1),ne.material.set("color",ie),ce.setColorTextureImage(pe.get("colorTexture"),Se),ce.setParticleSize(pe.get("particleSize")),ce.particleSpeedScaling=pe.get("particleSpeed"),ce.motionBlurFactor=1-Math.pow(.1,pe.get("particleTrail"))},updateTransform:function(pe,ye,Se){this._updateData(pe,Se)},afterRender:function(pe,ye,Se,ce){var te=ce.renderer;this._renderer=te},_updateData:function(pe,ye){var Se=pe.coordinateSystem,ce=Se.dimensions.map(function(Ge){return pe.coordDimToDataDim(Ge)[0]}),te=pe.getData(),ne=te.getDataExtent(ce[0]),le=te.getDataExtent(ce[1]),oe=pe.get("gridWidth"),de=pe.get("gridHeight");if(oe==null||oe==="auto"){var he=(ne[1]-ne[0])/(le[1]-le[0]);oe=Math.round(Math.sqrt(he*te.count()))}(de==null||de==="auto")&&(de=Math.ceil(te.count()/oe));var ie=this._particleSurface.vectorFieldTexture,ue=ie.pixels;if(!ue||ue.length!==de*oe*4)ue=ie.pixels=new Float32Array(oe*de*4);else for(var ve=0;ve=359;oe&&(te[0]>0&&(te[0]=0),ne[0]0?de[de.length-1]:this._lastFrameTexture},setRegion:function(de){this._particlePass.setUniform("region",de)},resize:function(de,he){this._lastFrameTexture.width=de*this._supersampling,this._lastFrameTexture.height=he*this._supersampling,this._thisFrameTexture.width=de*this._supersampling,this._thisFrameTexture.height=he*this._supersampling,this._width=de,this._height=he},setParticleSize:function(de){var he=this._getParticleMesh();if(de<=2){he.material.disableTexture("spriteTexture"),he.material.transparent=!1;return}this._spriteTexture||(this._spriteTexture=new we.a),(!this._spriteTexture.image||this._spriteTexture.image.width!==de)&&(this._spriteTexture.image=le(de),this._spriteTexture.dirty()),he.material.transparent=!0,he.material.enableTexture("spriteTexture"),he.material.set("spriteTexture",this._spriteTexture),this._particleSize=de},setGradientTexture:function(de){var he=this._getParticleMesh().material;he[de?"enableTexture":"disableTexture"]("gradientTexture"),he.setUniform("gradientTexture",de)},setColorTextureImage:function(de,he){var ie=this._getParticleMesh().material;ie.setTextureImage("colorTexture",de,he,{flipY:!0})},setParticleType:function(de){this._particleType=de},clearFrame:function(de){var he=this._frameBuffer;he.attach(this._lastFrameTexture),he.bind(de),de.gl.clear(de.gl.DEPTH_BUFFER_BIT|de.gl.COLOR_BUFFER_BIT),he.unbind(de)},setSupersampling:function(de){this._supersampling=de,this.resize(this._width,this._height)},_updateDownsampleTextures:function(de,he){for(var ie=this._downsampleTextures,ue=Math.max(Math.floor(Math.log(this._supersampling/he.getDevicePixelRatio())/Math.log(2)),0),ve=2,xe=this._width*this._supersampling,De=this._height*this._supersampling,Re=0;Re65535?new Uint32Array(ye*3):new Uint16Array(ye*3))},addLine:function(be){var we=this._vertexOffset;this.attributes.position.set(we,[be[0],be[1],1]),this.attributes.position.set(we+1,[be[0],be[1],-1]),this.attributes.position.set(we+2,[be[0],be[1],2]),this.attributes.position.set(we+3,[be[0],be[1],-2]),this.setTriangleIndices(this._faceOffset++,[we,we+1,we+2]),this.setTriangleIndices(this._faceOffset++,[we+1,we+2,we+3]),this._vertexOffset+=4}});Fe.a=Ee},function(He,Fe,Ce){"use strict";Fe.a=`@export ecgl.vfParticle.particle.fragment +@end`},function(He,Fe,Ce){"use strict";var _e=Ce(0),Pe=Ce.n(_e),ge=Ce(254),Ee=Ce(258)},function(He,Fe,Ce){"use strict";var _e=Ce(0),Pe=Ce.n(_e),ge=Ce(2),Ee=Ce(3),be=Ce(20),we=Ce(255);Pe.a.extendChartView({type:"flowGL",__ecgl__:!0,init:function(pe,ye){this.viewGL=new be.a("orthographic"),this.groupGL=new ge.a.Node,this.viewGL.add(this.groupGL),this._particleSurface=new we.a;var Se=new ge.a.Mesh({geometry:new ge.a.PlaneGeometry,material:new ge.a.Material({shader:new ge.a.Shader({vertex:ge.a.Shader.source("ecgl.color.vertex"),fragment:ge.a.Shader.source("ecgl.color.fragment")}),transparent:!0})});Se.material.enableTexture("diffuseMap"),this.groupGL.add(Se),this._planeMesh=Se},render:function(pe,ye,Se){var ce=this._particleSurface;ce.setParticleType(pe.get("particleType")),ce.setSupersampling(pe.get("supersampling")),this._updateData(pe,Se),this._updateCamera(Se.getWidth(),Se.getHeight(),Se.getDevicePixelRatio());var te=Ee.a.firstNotNull(pe.get("particleDensity"),128);ce.setParticleDensity(te,te);var ne=this._planeMesh,le=+new Date,oe=this,de=!0;ne.__percent=0,ne.stopAnimation(),ne.animate("",{loop:!0}).when(1e5,{__percent:1}).during(function(){var ue=+new Date,ve=Math.min(ue-le,20);le=le+ve,oe._renderer&&(ce.update(oe._renderer,Se,ve/1e3,de),ne.material.set("diffuseMap",ce.getSurfaceTexture())),de=!1}).start();var he=pe.getModel("itemStyle"),ie=ge.a.parseColor(he.get("color"));ie[3]*=Ee.a.firstNotNull(he.get("opacity"),1),ne.material.set("color",ie),ce.setColorTextureImage(pe.get("colorTexture"),Se),ce.setParticleSize(pe.get("particleSize")),ce.particleSpeedScaling=pe.get("particleSpeed"),ce.motionBlurFactor=1-Math.pow(.1,pe.get("particleTrail"))},updateTransform:function(pe,ye,Se){this._updateData(pe,Se)},afterRender:function(pe,ye,Se,ce){var te=ce.renderer;this._renderer=te},_updateData:function(pe,ye){var Se=pe.coordinateSystem,ce=Se.dimensions.map(function(Ge){return pe.coordDimToDataDim(Ge)[0]}),te=pe.getData(),ne=te.getDataExtent(ce[0]),le=te.getDataExtent(ce[1]),oe=pe.get("gridWidth"),de=pe.get("gridHeight");if(oe==null||oe==="auto"){var he=(ne[1]-ne[0])/(le[1]-le[0]);oe=Math.round(Math.sqrt(he*te.count()))}(de==null||de==="auto")&&(de=Math.ceil(te.count()/oe));var ie=this._particleSurface.vectorFieldTexture,ue=ie.pixels;if(!ue||ue.length!==de*oe*4)ue=ie.pixels=new Float32Array(oe*de*4);else for(var ve=0;ve=359;oe&&(te[0]>0&&(te[0]=0),ne[0]0?de[de.length-1]:this._lastFrameTexture},setRegion:function(de){this._particlePass.setUniform("region",de)},resize:function(de,he){this._lastFrameTexture.width=de*this._supersampling,this._lastFrameTexture.height=he*this._supersampling,this._thisFrameTexture.width=de*this._supersampling,this._thisFrameTexture.height=he*this._supersampling,this._width=de,this._height=he},setParticleSize:function(de){var he=this._getParticleMesh();if(de<=2){he.material.disableTexture("spriteTexture"),he.material.transparent=!1;return}this._spriteTexture||(this._spriteTexture=new we.a),(!this._spriteTexture.image||this._spriteTexture.image.width!==de)&&(this._spriteTexture.image=le(de),this._spriteTexture.dirty()),he.material.transparent=!0,he.material.enableTexture("spriteTexture"),he.material.set("spriteTexture",this._spriteTexture),this._particleSize=de},setGradientTexture:function(de){var he=this._getParticleMesh().material;he[de?"enableTexture":"disableTexture"]("gradientTexture"),he.setUniform("gradientTexture",de)},setColorTextureImage:function(de,he){var ie=this._getParticleMesh().material;ie.setTextureImage("colorTexture",de,he,{flipY:!0})},setParticleType:function(de){this._particleType=de},clearFrame:function(de){var he=this._frameBuffer;he.attach(this._lastFrameTexture),he.bind(de),de.gl.clear(de.gl.DEPTH_BUFFER_BIT|de.gl.COLOR_BUFFER_BIT),he.unbind(de)},setSupersampling:function(de){this._supersampling=de,this.resize(this._width,this._height)},_updateDownsampleTextures:function(de,he){for(var ie=this._downsampleTextures,ue=Math.max(Math.floor(Math.log(this._supersampling/he.getDevicePixelRatio())/Math.log(2)),0),ve=2,xe=this._width*this._supersampling,De=this._height*this._supersampling,Re=0;Re65535?new Uint32Array(ye*3):new Uint16Array(ye*3))},addLine:function(be){var we=this._vertexOffset;this.attributes.position.set(we,[be[0],be[1],1]),this.attributes.position.set(we+1,[be[0],be[1],-1]),this.attributes.position.set(we+2,[be[0],be[1],2]),this.attributes.position.set(we+3,[be[0],be[1],-2]),this.setTriangleIndices(this._faceOffset++,[we,we+1,we+2]),this.setTriangleIndices(this._faceOffset++,[we+1,we+2,we+3]),this._vertexOffset+=4}});Fe.a=Ee},function(He,Fe,Ce){"use strict";Fe.a=`@export ecgl.vfParticle.particle.fragment uniform sampler2D particleTexture; uniform sampler2D spawnTexture; @@ -4496,5 +4496,5 @@ void main() } @end -`},function(He,Fe,Ce){"use strict";var _e=Ce(0),Pe=Ce.n(_e);Pe.a.extendSeriesModel({type:"series.flowGL",dependencies:["geo","grid","bmap"],visualColorAccessPath:"itemStyle.color",getInitialData:function(ge,Ee){var be=Pe.a.getCoordinateSystemDimensions(this.get("coordinateSystem"))||["x","y"];if(be.length>2)throw new Error("flowGL can only be used on 2d coordinate systems.");be.push("vx","vy");var we=Pe.a.helper.completeDimensions(be,this.getSource(),{encodeDef:this.get("encode"),dimsDef:this.get("dimensions")}),pe=new Pe.a.List(we,this);return pe.initData(this.getSource()),pe},defaultOption:{coordinateSystem:"cartesian2d",zlevel:10,supersampling:1,particleType:"point",particleDensity:128,particleSize:1,particleSpeed:1,particleTrail:2,colorTexture:null,gridWidth:"auto",gridHeight:"auto",itemStyle:{color:"#fff",opacity:.8}}})},function(He,Fe,Ce){"use strict";var _e=Ce(0),Pe=Ce.n(_e),ge=Ce(260),Ee=Ce(261),be=Ce(16);Pe.a.registerVisual(Object(be.a)("linesGL"))},function(He,Fe,Ce){"use strict";var _e=Ce(0),Pe=Ce.n(_e),ge=Ce(12),Ee=Ce.n(ge),be=Pe.a.extendSeriesModel({type:"series.linesGL",dependencies:["grid","geo"],visualColorAccessPath:"lineStyle.color",streamEnabled:!0,init:function(we){var pe=this._processFlatCoordsArray(we.data);this._flatCoords=pe.flatCoords,this._flatCoordsOffset=pe.flatCoordsOffset,pe.flatCoords&&(we.data=new Float32Array(pe.count)),be.superApply(this,"init",arguments)},mergeOption:function(we){var pe=this._processFlatCoordsArray(we.data);this._flatCoords=pe.flatCoords,this._flatCoordsOffset=pe.flatCoordsOffset,pe.flatCoords&&(we.data=new Float32Array(pe.count)),be.superApply(this,"mergeOption",arguments)},appendData:function(we){var pe=this._processFlatCoordsArray(we.data);pe.flatCoords&&(this._flatCoords?(this._flatCoords=Object(ge.concatArray)(this._flatCoords,pe.flatCoords),this._flatCoordsOffset=Object(ge.concatArray)(this._flatCoordsOffset,pe.flatCoordsOffset)):(this._flatCoords=pe.flatCoords,this._flatCoordsOffset=pe.flatCoordsOffset),we.data=new Float32Array(pe.count)),this.getRawData().appendData(we.data)},_getCoordsFromItemModel:function(we){var pe=this.getData().getItemModel(we),ye=pe.option instanceof Array?pe.option:pe.getShallow("coords");if(!(ye instanceof Array&&ye.length>0&&ye[0]instanceof Array))throw new Error("Invalid coords "+JSON.stringify(ye)+". Lines must have 2d coords array in data item.");return ye},getLineCoordsCount:function(we){return this._flatCoordsOffset?this._flatCoordsOffset[we*2+1]:this._getCoordsFromItemModel(we).length},getLineCoords:function(we,pe){if(this._flatCoordsOffset){for(var ye=this._flatCoordsOffset[we*2],Se=this._flatCoordsOffset[we*2+1],ce=0;ceye)throw new Error("Invalid data format.")}}return{flatCoordsOffset:new Uint32Array(Se.buffer,0,ne),flatCoords:ce,count:le}}return{flatCoordsOffset:null,flatCoords:null,count:we.length}},getInitialData:function(we,pe){var ye=new Pe.a.List(["value"],this);return ye.hasItemOption=!1,ye.initData(we.data,[],function(Se,ce,te,ne){if(Se instanceof Array)return NaN;ye.hasItemOption=!0;var le=Se.value;if(le!=null)return le instanceof Array?le[ne]:le}),ye},defaultOption:{coordinateSystem:"geo",zlevel:10,progressive:1e4,progressiveThreshold:5e4,blendMode:"source-over",lineStyle:{opacity:.8},postEffect:{enable:!1,colorCorrection:{exposure:0,brightness:0,contrast:1,saturation:1,enable:!0}}}})},function(He,Fe,Ce){"use strict";var _e=Ce(0),Pe=Ce.n(_e),ge=Ce(2),Ee=Ce(20),be=Ce(86),we=Ce(84),pe=Ce(3);Pe.a.extendChartView({type:"linesGL",__ecgl__:!0,init:function(ye,Se){this.groupGL=new ge.a.Node,this.viewGL=new Ee.a("orthographic"),this.viewGL.add(this.groupGL),this._glViewHelper=new we.a(this.viewGL),this._nativeLinesShader=ge.a.createShader("ecgl.lines3D"),this._meshLinesShader=ge.a.createShader("ecgl.meshLines3D"),this._linesMeshes=[],this._currentStep=0},render:function(ye,Se,ce){this.groupGL.removeAll(),this._glViewHelper.reset(ye,ce);var te=this._linesMeshes[0];te||(te=this._linesMeshes[0]=this._createLinesMesh(ye)),this._linesMeshes.length=1,this.groupGL.add(te),this._updateLinesMesh(ye,te,0,ye.getData().count()),this.viewGL.setPostEffect(ye.getModel("postEffect"),ce)},incrementalPrepareRender:function(ye,Se,ce){this.groupGL.removeAll(),this._glViewHelper.reset(ye,ce),this._currentStep=0,this.viewGL.setPostEffect(ye.getModel("postEffect"),ce)},incrementalRender:function(ye,Se,ce,te){var ne=this._linesMeshes[this._currentStep];ne||(ne=this._createLinesMesh(Se),this._linesMeshes[this._currentStep]=ne),this._updateLinesMesh(Se,ne,ye.start,ye.end),this.groupGL.add(ne),te.getZr().refresh(),this._currentStep++},updateTransform:function(ye,Se,ce){ye.coordinateSystem.getRoamTransform&&this._glViewHelper.updateTransform(ye,ce)},_createLinesMesh:function(ye){var Se=new ge.a.Mesh({$ignorePicking:!0,material:new ge.a.Material({shader:ge.a.createShader("ecgl.lines3D"),transparent:!0,depthMask:!1,depthTest:!1}),geometry:new be.a({segmentScale:10,useNativeLine:!0,dynamic:!1}),mode:ge.a.Mesh.LINES,culling:!1});return Se},_updateLinesMesh:function(ye,Se,ce,te){var ne=ye.getData();Se.material.blend=ye.get("blendMode")==="lighter"?ge.a.additiveBlend:null;var le=ye.get("lineStyle.curveness")||0,oe=ye.get("polyline"),de=Se.geometry,he=ye.coordinateSystem,ie=pe.a.firstNotNull(ye.get("lineStyle.width"),1);ie>1?(Se.material.shader!==this._meshLinesShader&&Se.material.attachShader(this._meshLinesShader),Se.mode=ge.a.Mesh.TRIANGLES):(Se.material.shader!==this._nativeLinesShader&&Se.material.attachShader(this._nativeLinesShader),Se.mode=ge.a.Mesh.LINES),ce=ce||0,te=te||ne.count(),de.resetOffset();var ue=0,ve=0,xe=[],De=[],Re=[],Ne=[],Ue=[],Ge=.3,Xe=.7;function Qe(){De[0]=xe[0]*Xe+Ne[0]*Ge-(xe[1]-Ne[1])*le,De[1]=xe[1]*Xe+Ne[1]*Ge-(Ne[0]-xe[0])*le,Re[0]=xe[0]*Ge+Ne[0]*Xe-(xe[1]-Ne[1])*le,Re[1]=xe[1]*Ge+Ne[1]*Xe-(Ne[0]-xe[0])*le}if(oe||le!==0)for(var nt=ce;nt0&&(De=ie[0]),De instanceof Error)throw De;var Re=new Error("Unhandled error."+(De?" ("+De.message+")":""));throw Re.context=De,Re}var Ne=xe[he];if(Ne===void 0)return!1;if(typeof Ne=="function")Ie(Ne,this,ie);else for(var Ue=Ne.length,Ge=Se(Ne,Ue),ue=0;ue0&&De.length>ve&&!De.warned){De.warned=!0;var Re=new Error("Possible EventEmitter memory leak detected. "+De.length+" "+String(he)+" listeners added. Use emitter.setMaxListeners() to increase limit");Re.name="MaxListenersExceededWarning",Re.emitter=de,Re.type=he,Re.count=De.length,He(Re)}return de}Ce.prototype.addListener=function(he,ie){return Ee(this,he,ie,!1)},Ce.prototype.on=Ce.prototype.addListener,Ce.prototype.prependListener=function(he,ie){return Ee(this,he,ie,!0)};function be(){if(!this.fired)return this.target.removeListener(this.type,this.wrapFn),this.fired=!0,arguments.length===0?this.listener.call(this.target):this.listener.apply(this.target,arguments)}function we(de,he,ie){var ue={fired:!1,wrapFn:void 0,target:de,type:he,listener:ie},ve=be.bind(ue);return ve.listener=ie,ue.wrapFn=ve,ve}Ce.prototype.once=function(he,ie){return Pe(ie),this.on(he,we(this,he,ie)),this},Ce.prototype.prependOnceListener=function(he,ie){return Pe(ie),this.prependListener(he,we(this,he,ie)),this},Ce.prototype.removeListener=function(he,ie){var ue,ve,xe,De,Re;if(Pe(ie),ve=this._events,ve===void 0)return this;if(ue=ve[he],ue===void 0)return this;if(ue===ie||ue.listener===ie)--this._eventsCount===0?this._events=Object.create(null):(delete ve[he],ve.removeListener&&this.emit("removeListener",he,ue.listener||ie));else if(typeof ue!="function"){for(xe=-1,De=ue.length-1;De>=0;De--)if(ue[De]===ie||ue[De].listener===ie){Re=ue[De].listener,xe=De;break}if(xe<0)return this;xe===0?ue.shift():ce(ue,xe),ue.length===1&&(ve[he]=ue[0]),ve.removeListener!==void 0&&this.emit("removeListener",he,Re||ie)}return this},Ce.prototype.off=Ce.prototype.removeListener,Ce.prototype.removeAllListeners=function(he){var ie,ue,ve;if(ue=this._events,ue===void 0)return this;if(ue.removeListener===void 0)return arguments.length===0?(this._events=Object.create(null),this._eventsCount=0):ue[he]!==void 0&&(--this._eventsCount===0?this._events=Object.create(null):delete ue[he]),this;if(arguments.length===0){var xe=Object.keys(ue),De;for(ve=0;ve=0;ve--)this.removeListener(he,ie[ve]);return this};function pe(de,he,ie){var ue=de._events;if(ue===void 0)return[];var ve=ue[he];return ve===void 0?[]:typeof ve=="function"?ie?[ve.listener||ve]:[ve]:ie?te(ve):Se(ve,ve.length)}Ce.prototype.listeners=function(he){return pe(this,he,!0)},Ce.prototype.rawListeners=function(he){return pe(this,he,!1)},Ce.listenerCount=function(de,he){return typeof de.listenerCount=="function"?de.listenerCount(he):ye.call(de,he)},Ce.prototype.listenerCount=ye;function ye(de){var he=this._events;if(he!==void 0){var ie=he[de];if(typeof ie=="function")return 1;if(ie!==void 0)return ie.length}return 0}Ce.prototype.eventNames=function(){return this._eventsCount>0?Be(this._events):[]};function Se(de,he){for(var ie=new Array(he),ue=0;ue0&&(ye=pe.removeMin(),Se=we[ye],Se.distance!==Number.POSITIVE_INFINITY);)be(ye).forEach(ce);return we}},59324:function(xt,Tt,Ie){var Be=Ie(95329),He=Ie(94558);xt.exports=Fe;function Fe(Ce){return Be.filter(He(Ce),function(_e){return _e.length>1||_e.length===1&&Ce.hasEdge(_e[0],_e[0])})}},22893:function(xt,Tt,Ie){var Be=Ie(95329);xt.exports=Fe;var He=Be.constant(1);function Fe(_e,Pe,ge){return Ce(_e,Pe||He,ge||function(Ee){return _e.outEdges(Ee)})}function Ce(_e,Pe,ge){var Ee={},be=_e.nodes();return be.forEach(function(we){Ee[we]={},Ee[we][we]={distance:0},be.forEach(function(pe){we!==pe&&(Ee[we][pe]={distance:Number.POSITIVE_INFINITY})}),ge(we).forEach(function(pe){var ye=pe.v===we?pe.w:pe.v,Se=Pe(pe);Ee[we][ye]={distance:Se,predecessor:we}})}),be.forEach(function(we){var pe=Ee[we];be.forEach(function(ye){var Se=Ee[ye];be.forEach(function(ce){var te=Se[we],ne=pe[ce],le=Se[ce],oe=te.distance+ne.distance;oe0;){if(we=be.removeMin(),Be.has(Ee,we))ge.setEdge(we,Ee[we]);else{if(ye)throw new Error("Input graph is not connected: "+_e);ye=!0}_e.nodeEdges(we).forEach(pe)}return ge}},94558:function(xt,Tt,Ie){var Be=Ie(95329);xt.exports=He;function He(Fe){var Ce=0,_e=[],Pe={},ge=[];function Ee(be){var we=Pe[be]={onStack:!0,lowlink:Ce,index:Ce++};if(_e.push(be),Fe.successors(be).forEach(function(Se){Be.has(Pe,Se)?Pe[Se].onStack&&(we.lowlink=Math.min(we.lowlink,Pe[Se].index)):(Ee(Se),we.lowlink=Math.min(we.lowlink,Pe[Se].lowlink))}),we.lowlink===we.index){var pe=[],ye;do ye=_e.pop(),Pe[ye].onStack=!1,pe.push(ye);while(be!==ye);ge.push(pe)}}return Fe.nodes().forEach(function(be){Be.has(Pe,be)||Ee(be)}),ge}},7793:function(xt,Tt,Ie){var Be=Ie(95329);xt.exports=He,He.CycleException=Fe;function He(Ce){var _e={},Pe={},ge=[];function Ee(be){if(Be.has(Pe,be))throw new Fe;Be.has(_e,be)||(Pe[be]=!0,_e[be]=!0,Be.each(Ce.predecessors(be),Ee),delete Pe[be],ge.push(be))}if(Be.each(Ce.sinks(),Ee),Be.size(_e)!==Ce.nodeCount())throw new Fe;return ge}function Fe(){}Fe.prototype=new Error},36614:function(xt,Tt,Ie){var Be=Ie(95329);xt.exports=He;function He(){this._arr=[],this._keyIndices={}}He.prototype.size=function(){return this._arr.length},He.prototype.keys=function(){return this._arr.map(function(Fe){return Fe.key})},He.prototype.has=function(Fe){return Be.has(this._keyIndices,Fe)},He.prototype.priority=function(Fe){var Ce=this._keyIndices[Fe];if(Ce!==void 0)return this._arr[Ce].priority},He.prototype.min=function(){if(this.size()===0)throw new Error("Queue underflow");return this._arr[0].key},He.prototype.add=function(Fe,Ce){var _e=this._keyIndices;if(Fe=String(Fe),!Be.has(_e,Fe)){var Pe=this._arr,ge=Pe.length;return _e[Fe]=ge,Pe.push({key:Fe,priority:Ce}),this._decrease(ge),!0}return!1},He.prototype.removeMin=function(){this._swap(0,this._arr.length-1);var Fe=this._arr.pop();return delete this._keyIndices[Fe.key],this._heapify(0),Fe.key},He.prototype.decrease=function(Fe,Ce){var _e=this._keyIndices[Fe];if(Ce>this._arr[_e].priority)throw new Error("New priority is greater than current priority. Key: "+Fe+" Old: "+this._arr[_e].priority+" New: "+Ce);this._arr[_e].priority=Ce,this._decrease(_e)},He.prototype._heapify=function(Fe){var Ce=this._arr,_e=2*Fe,Pe=_e+1,ge=Fe;_e>1,!(Ce[Pe].priority<_e));)this._swap(Fe,Pe),Fe=Pe},He.prototype._swap=function(Fe,Ce){var _e=this._arr,Pe=this._keyIndices,ge=_e[Fe],Ee=_e[Ce];_e[Fe]=Ee,_e[Ce]=ge,Pe[Ee.key]=Fe,Pe[ge.key]=Ce}},6349:function(xt,Tt,Ie){"use strict";var Be=Ie(95329);xt.exports=_e;var He="\0",Fe="\0",Ce="";function _e(pe){this._isDirected=Be.has(pe,"directed")?pe.directed:!0,this._isMultigraph=Be.has(pe,"multigraph")?pe.multigraph:!1,this._isCompound=Be.has(pe,"compound")?pe.compound:!1,this._label=void 0,this._defaultNodeLabelFn=Be.constant(void 0),this._defaultEdgeLabelFn=Be.constant(void 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0)return[];var ve=ue[he];return ve===void 0?[]:typeof ve=="function"?ie?[ve.listener||ve]:[ve]:ie?te(ve):Se(ve,ve.length)}Ce.prototype.listeners=function(he){return pe(this,he,!0)},Ce.prototype.rawListeners=function(he){return pe(this,he,!1)},Ce.listenerCount=function(de,he){return typeof de.listenerCount=="function"?de.listenerCount(he):ye.call(de,he)},Ce.prototype.listenerCount=ye;function ye(de){var he=this._events;if(he!==void 0){var ie=he[de];if(typeof ie=="function")return 1;if(ie!==void 0)return ie.length}return 0}Ce.prototype.eventNames=function(){return this._eventsCount>0?Be(this._events):[]};function Se(de,he){for(var ie=new Array(he),ue=0;ue0&&(ye=pe.removeMin(),Se=we[ye],Se.distance!==Number.POSITIVE_INFINITY);)be(ye).forEach(ce);return we}},59324:function(xt,Ot,Ie){var Be=Ie(95329),He=Ie(94558);xt.exports=Fe;function Fe(Ce){return Be.filter(He(Ce),function(_e){return _e.length>1||_e.length===1&&Ce.hasEdge(_e[0],_e[0])})}},22893:function(xt,Ot,Ie){var Be=Ie(95329);xt.exports=Fe;var He=Be.constant(1);function Fe(_e,Pe,ge){return Ce(_e,Pe||He,ge||function(Ee){return _e.outEdges(Ee)})}function Ce(_e,Pe,ge){var Ee={},be=_e.nodes();return be.forEach(function(we){Ee[we]={},Ee[we][we]={distance:0},be.forEach(function(pe){we!==pe&&(Ee[we][pe]={distance:Number.POSITIVE_INFINITY})}),ge(we).forEach(function(pe){var ye=pe.v===we?pe.w:pe.v,Se=Pe(pe);Ee[we][ye]={distance:Se,predecessor:we}})}),be.forEach(function(we){var pe=Ee[we];be.forEach(function(ye){var Se=Ee[ye];be.forEach(function(ce){var te=Se[we],ne=pe[ce],le=Se[ce],oe=te.distance+ne.distance;oe0;){if(we=be.removeMin(),Be.has(Ee,we))ge.setEdge(we,Ee[we]);else{if(ye)throw new Error("Input graph is not connected: "+_e);ye=!0}_e.nodeEdges(we).forEach(pe)}return ge}},94558:function(xt,Ot,Ie){var Be=Ie(95329);xt.exports=He;function He(Fe){var Ce=0,_e=[],Pe={},ge=[];function Ee(be){var we=Pe[be]={onStack:!0,lowlink:Ce,index:Ce++};if(_e.push(be),Fe.successors(be).forEach(function(Se){Be.has(Pe,Se)?Pe[Se].onStack&&(we.lowlink=Math.min(we.lowlink,Pe[Se].index)):(Ee(Se),we.lowlink=Math.min(we.lowlink,Pe[Se].lowlink))}),we.lowlink===we.index){var pe=[],ye;do ye=_e.pop(),Pe[ye].onStack=!1,pe.push(ye);while(be!==ye);ge.push(pe)}}return Fe.nodes().forEach(function(be){Be.has(Pe,be)||Ee(be)}),ge}},7793:function(xt,Ot,Ie){var Be=Ie(95329);xt.exports=He,He.CycleException=Fe;function He(Ce){var _e={},Pe={},ge=[];function Ee(be){if(Be.has(Pe,be))throw new Fe;Be.has(_e,be)||(Pe[be]=!0,_e[be]=!0,Be.each(Ce.predecessors(be),Ee),delete Pe[be],ge.push(be))}if(Be.each(Ce.sinks(),Ee),Be.size(_e)!==Ce.nodeCount())throw new Fe;return ge}function Fe(){}Fe.prototype=new Error},36614:function(xt,Ot,Ie){var Be=Ie(95329);xt.exports=He;function He(){this._arr=[],this._keyIndices={}}He.prototype.size=function(){return this._arr.length},He.prototype.keys=function(){return 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No more retry."),It.setUncontrolledState({loadedKeys:(0,en.L0)(Gr,Xt)}),Mt()}ln(xr)}),{loadingKeys:(0,en.L0)(er,Xt)}})});return Ft.catch(function(){}),Ft},It.onNodeMouseEnter=function(At,Xt){var Ft=It.props.onMouseEnter;Ft==null||Ft({event:At,node:Xt})},It.onNodeMouseLeave=function(At,Xt){var Ft=It.props.onMouseLeave;Ft==null||Ft({event:At,node:Xt})},It.onNodeContextMenu=function(At,Xt){var Ft=It.props.onRightClick;Ft&&(At.preventDefault(),Ft({event:At,node:Xt}))},It.onFocus=function(){var At=It.props.onFocus;It.setState({focused:!0});for(var Xt=arguments.length,Ft=new Array(Xt),Mt=0;Mt1&&arguments[1]!==void 0?arguments[1]:!1,Ft=arguments.length>2&&arguments[2]!==void 0?arguments[2]:null;if(!It.destroyed){var Mt=!1,ln=!0,Dn={};Object.keys(At).forEach(function(Hn){if(Hn in It.props){ln=!1;return}Mt=!0,Dn[Hn]=At[Hn]}),Mt&&(!Xt||ln)&&It.setState((0,Ce.Z)((0,Ce.Z)({},Dn),Ft))}},It.scrollTo=function(At){It.listRef.current.scrollTo(At)},It}return(0,ge.Z)(Gt,[{key:"componentDidMount",value:function(){this.destroyed=!1,this.onUpdated()}},{key:"componentDidUpdate",value:function(){this.onUpdated()}},{key:"onUpdated",value:function(){var St=this.props.activeKey;St!==void 0&&St!==this.state.activeKey&&(this.setState({activeKey:St}),St!==null&&this.scrollTo({key:St}))}},{key:"componentWillUnmount",value:function(){window.removeEventListener("dragend",this.onWindowDragEnd),this.destroyed=!0}},{key:"resetDragState",value:function(){this.setState({dragOverNodeKey:null,dropPosition:null,dropLevelOffset:null,dropTargetKey:null,dropContainerKey:null,dropTargetPos:null,dropAllowed:!1})}},{key:"render",value:function(){var St,Yt=this.state,vt=Yt.focused,At=Yt.flattenNodes,Xt=Yt.keyEntities,Ft=Yt.draggingNodeKey,Mt=Yt.activeKey,ln=Yt.dropLevelOffset,Dn=Yt.dropContainerKey,Hn=Yt.dropTargetKey,Vn=Yt.dropPosition,Kn=Yt.dragOverNodeKey,er=Yt.indent,$t=this.props,vn=$t.prefixCls,jn=$t.className,On=$t.style,xr=$t.showLine,Gr=$t.focusable,Pr=$t.tabIndex,Kr=Pr===void 0?0:Pr,Da=$t.selectable,Qa=$t.showIcon,Ba=$t.icon,Ia=$t.switcherIcon,wi=$t.draggable,bi=$t.checkable,Zr=$t.checkStrictly,Za=$t.disabled,li=$t.motion,Er=$t.loadData,yr=$t.filterTreeNode,ci=$t.height,kn=$t.itemHeight,hr=$t.virtual,Fr=$t.titleRender,Ur=$t.dropIndicatorRender,ca=$t.onContextMenu,bt=$t.onScroll,Me=$t.direction,Te=$t.rootClassName,Oe=$t.rootStyle,Ue=(0,ce.Z)(this.props,{aria:!0,data:!0}),Ye;return wi&&((0,Fe.Z)(wi)==="object"?Ye=wi:typeof wi=="function"?Ye={nodeDraggable:wi}:Ye={}),ne.createElement(le.k.Provider,{value:{prefixCls:vn,selectable:Da,showIcon:Qa,icon:Ba,switcherIcon:Ia,draggable:Ye,draggingNodeKey:Ft,checkable:bi,checkStrictly:Zr,disabled:Za,keyEntities:Xt,dropLevelOffset:ln,dropContainerKey:Dn,dropTargetKey:Hn,dropPosition:Vn,dragOverNodeKey:Kn,indent:er,direction:Me,dropIndicatorRender:Ur,loadData:Er,filterTreeNode:yr,titleRender:Fr,onNodeClick:this.onNodeClick,onNodeDoubleClick:this.onNodeDoubleClick,onNodeExpand:this.onNodeExpand,onNodeSelect:this.onNodeSelect,onNodeCheck:this.onNodeCheck,onNodeLoad:this.onNodeLoad,onNodeMouseEnter:this.onNodeMouseEnter,onNodeMouseLeave:this.onNodeMouseLeave,onNodeContextMenu:this.onNodeContextMenu,onNodeDragStart:this.onNodeDragStart,onNodeDragEnter:this.onNodeDragEnter,onNodeDragOver:this.onNodeDragOver,onNodeDragLeave:this.onNodeDragLeave,onNodeDragEnd:this.onNodeDragEnd,onNodeDrop:this.onNodeDrop}},ne.createElement("div",{role:"tree",className:ye()(vn,jn,Te,(St={},(0,He.Z)(St,"".concat(vn,"-show-line"),xr),(0,He.Z)(St,"".concat(vn,"-focused"),vt),(0,He.Z)(St,"".concat(vn,"-active-focused"),Mt!==null),St)),style:Oe},ne.createElement(Zt,(0,Be.Z)({ref:this.listRef,prefixCls:vn,style:On,data:At,disabled:Za,selectable:Da,checkable:!!bi,motion:li,dragging:Ft!==null,height:ci,itemHeight:kn,virtual:hr,focusable:Gr,focused:vt,tabIndex:Kr,activeItem:this.getActiveItem(),onFocus:this.onFocus,onBlur:this.onBlur,onKeyDown:this.onKeyDown,onActiveChange:this.onActiveChange,onListChangeStart:this.onListChangeStart,onListChangeEnd:this.onListChangeEnd,onContextMenu:ca,onScroll:bt},this.getTreeNodeRequiredProps(),Ue))))}}],[{key:"getDerivedStateFromProps",value:function(St,Yt){var vt=Yt.prevProps,At={prevProps:St};function Xt(Gr){return!vt&&Gr in St||vt&&vt[Gr]!==St[Gr]}var Ft,Mt=Yt.fieldNames;if(Xt("fieldNames")&&(Mt=(0,Ne.w$)(St.fieldNames),At.fieldNames=Mt),Xt("treeData")?Ft=St.treeData:Xt("children")&&((0,te.ZP)(!1,"`children` of Tree is deprecated. Please use `treeData` instead."),Ft=(0,Ne.zn)(St.children)),Ft){At.treeData=Ft;var ln=(0,Ne.I8)(Ft,{fieldNames:Mt});At.keyEntities=(0,Ce.Z)((0,He.Z)({},ft,ct),ln.keyEntities)}var Dn=At.keyEntities||Yt.keyEntities;if(Xt("expandedKeys")||vt&&Xt("autoExpandParent"))At.expandedKeys=St.autoExpandParent||!vt&&St.defaultExpandParent?(0,en.r7)(St.expandedKeys,Dn):St.expandedKeys;else if(!vt&&St.defaultExpandAll){var Hn=(0,Ce.Z)({},Dn);delete Hn[ft],At.expandedKeys=Object.keys(Hn).map(function(Gr){return Hn[Gr].key})}else!vt&&St.defaultExpandedKeys&&(At.expandedKeys=St.autoExpandParent||St.defaultExpandParent?(0,en.r7)(St.defaultExpandedKeys,Dn):St.defaultExpandedKeys);if(At.expandedKeys||delete At.expandedKeys,Ft||At.expandedKeys){var Vn=(0,Ne.oH)(Ft||Yt.treeData,At.expandedKeys||Yt.expandedKeys,Mt);At.flattenNodes=Vn}if(St.selectable&&(Xt("selectedKeys")?At.selectedKeys=(0,en.BT)(St.selectedKeys,St):!vt&&St.defaultSelectedKeys&&(At.selectedKeys=(0,en.BT)(St.defaultSelectedKeys,St))),St.checkable){var Kn;if(Xt("checkedKeys")?Kn=(0,en.E6)(St.checkedKeys)||{}:!vt&&St.defaultCheckedKeys?Kn=(0,en.E6)(St.defaultCheckedKeys)||{}:Ft&&(Kn=(0,en.E6)(St.checkedKeys)||{checkedKeys:Yt.checkedKeys,halfCheckedKeys:Yt.halfCheckedKeys}),Kn){var er=Kn,$t=er.checkedKeys,vn=$t===void 0?[]:$t,jn=er.halfCheckedKeys,On=jn===void 0?[]:jn;if(!St.checkStrictly){var xr=(0,dn.S)(vn,!0,Dn);vn=xr.checkedKeys,On=xr.halfCheckedKeys}At.checkedKeys=vn,At.halfCheckedKeys=On}}return Xt("loadedKeys")&&(At.loadedKeys=St.loadedKeys),At}}]),Gt}(ne.Component);rn.defaultProps={prefixCls:"rc-tree",showLine:!1,showIcon:!0,selectable:!0,multiple:!1,checkable:!1,disabled:!1,checkStrictly:!1,draggable:!1,defaultExpandParent:!0,autoExpandParent:!1,defaultExpandAll:!1,defaultExpandedKeys:[],defaultCheckedKeys:[],defaultSelectedKeys:[],dropIndicatorRender:oe,allowDrop:function(){return!0},expandAction:!1},rn.TreeNode=De.Z;var Mn=rn,Bn=Mn},35654:function(xt,Ot,Ie){"use strict";Ie.d(Ot,{BT:function(){return ne},E6:function(){return de},L0:function(){return we},OM:function(){return te},_5:function(){return be},r7:function(){return he},wA:function(){return ye},yx:function(){return pe}});var Be=Ie(95190),He=Ie(93664),Fe=Ie(48736),Ce=Ie(59301),_e=Ie(39417),Pe=Ie(67841),ge=Ie(71430),Ee=null;function be(ie,ue){if(!ie)return[];var ve=ie.slice(),xe=ve.indexOf(ue);return xe>=0&&ve.splice(xe,1),ve}function we(ie,ue){var ve=(ie||[]).slice();return ve.indexOf(ue)===-1&&ve.push(ue),ve}function pe(ie){return ie.split("-")}function ye(ie,ue){var ve=[],xe=(0,Pe.Z)(ue,ie);function De(){var Re=arguments.length>0&&arguments[0]!==void 0?arguments[0]:[];Re.forEach(function(Ne){var ze=Ne.key,Ge=Ne.children;ve.push(ze),De(Ge)})}return De(xe.children),ve}function Se(ie){if(ie.parent){var ue=pe(ie.pos);return Number(ue[ue.length-1])===ie.parent.children.length-1}return!1}function ce(ie){var ue=pe(ie.pos);return Number(ue[ue.length-1])===0}function te(ie,ue,ve,xe,De,Re,Ne,ze,Ge,Xe){var Qe,nt=ie.clientX,$e=ie.clientY,qe=ie.target.getBoundingClientRect(),lt=qe.top,it=qe.height,ft=(Xe==="rtl"?-1:1)*(((De==null?void 0:De.x)||0)-nt),rt=(ft-12)/xe,ct=(0,Pe.Z)(ze,ve.props.eventKey);if($e-1.5?Re({dragNode:an,dropNode:rn,dropPosition:1})?en=1:Mn=!1:Re({dragNode:an,dropNode:rn,dropPosition:0})?en=0:Re({dragNode:an,dropNode:rn,dropPosition:1})?en=1:Mn=!1:Re({dragNode:an,dropNode:rn,dropPosition:1})?en=1:Mn=!1,{dropPosition:en,dropLevelOffset:dn,dropTargetKey:ct.key,dropTargetPos:ct.pos,dragOverNodeKey:Zt,dropContainerKey:en===0?null:((Qe=ct.parent)===null||Qe===void 0?void 0:Qe.key)||null,dropAllowed:Mn}}function ne(ie,ue){if(ie){var ve=ue.multiple;return ve?ie.slice():ie.length?[ie[0]]:ie}}var le=function(ue){return ue};function oe(ie,ue){if(!ie)return[];var ve=ue||{},xe=ve.processProps,De=xe===void 0?le:xe,Re=Array.isArray(ie)?ie:[ie];return Re.map(function(Ne){var ze=Ne.children,Ge=_objectWithoutProperties(Ne,Ee),Xe=oe(ze,ue);return React.createElement(TreeNode,_extends({key:Ge.key},De(Ge)),Xe)})}function de(ie){if(!ie)return null;var ue;if(Array.isArray(ie))ue={checkedKeys:ie,halfCheckedKeys:void 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de=we.get(oe)||new Set;de.forEach(function(he){var ie=he.parent,ue=he.node;if(!(ye(ue)||!he.parent||le.has(he.parent.key))){if(ye(he.parent.node)){le.add(ie.key);return}var ve=!0,xe=!1;(ie.children||[]).filter(function(De){return!ye(De.node)}).forEach(function(De){var Re=De.key,Ne=Se.has(Re);ve&&!Ne&&(ve=!1),!xe&&(Ne||ce.has(Re))&&(xe=!0)}),ve||Se.delete(ie.key),xe&&ce.add(ie.key),le.add(ie.key)}})}return{checkedKeys:Array.from(Se),halfCheckedKeys:Array.from(Fe(ce,Se))}}function ge(Ee,be,we,pe){var ye=[],Se;pe?Se=pe:Se=Ce;var ce=new Set(Ee.filter(function(oe){var de=!!(0,He.Z)(we,oe);return de||ye.push(oe),de})),te=new Map,ne=0;Object.keys(we).forEach(function(oe){var de=we[oe],he=de.level,ie=te.get(he);ie||(ie=new Set,te.set(he,ie)),ie.add(de),ne=Math.max(ne,he)}),(0,Be.ZP)(!ye.length,"Tree missing follow keys: ".concat(ye.slice(0,100).map(function(oe){return"'".concat(oe,"'")}).join(", ")));var le;return be===!0?le=_e(ce,te,ne,Se):le=Pe(ce,be.halfCheckedKeys,te,ne,Se),le}},67841:function(xt,Ot,Ie){"use strict";Ie.d(Ot,{Z:function(){return Be}});function Be(He,Fe){return He[Fe]}},71430:function(xt,Ot,Ie){"use strict";Ie.d(Ot,{F:function(){return he},H8:function(){return de},I8:function(){return oe},km:function(){return ye},oH:function(){return ne},w$:function(){return Se},zn:function(){return te}});var Be=Ie(93664),He=Ie(95190),Fe=Ie(20439),Ce=Ie(62646),_e=Ie(11592),Pe=Ie(2738),ge=Ie(48736),Ee=Ie(67841),be=["children"];function we(ie,ue){return"".concat(ie,"-").concat(ue)}function pe(ie){return ie&&ie.type&&ie.type.isTreeNode}function ye(ie,ue){return ie!=null?ie:ue}function Se(ie){var ue=ie||{},ve=ue.title,xe=ue._title,De=ue.key,Re=ue.children,Ne=ve||"title";return{title:Ne,_title:xe||[Ne],key:De||"key",children:Re||"children"}}function ce(ie,ue){var ve=new Map;function xe(De){var Re=arguments.length>1&&arguments[1]!==void 0?arguments[1]:"";(De||[]).forEach(function(Ne){var ze=Ne[ue.key],Ge=Ne[ue.children];warning(ze!=null,"Tree node must have a certain key: [".concat(Re).concat(ze,"]"));var Xe=String(ze);warning(!ve.has(Xe)||ze===null||ze===void 0,"Same 'key' exist in the Tree: ".concat(Xe)),ve.set(Xe,!0),xe(Ge,"".concat(Re).concat(Xe," > "))})}xe(ie)}function te(ie){function ue(ve){var xe=(0,_e.Z)(ve);return xe.map(function(De){if(!pe(De))return(0,ge.ZP)(!De,"Tree/TreeNode can only accept TreeNode as children."),null;var Re=De.key,Ne=De.props,ze=Ne.children,Ge=(0,Ce.Z)(Ne,be),Xe=(0,Fe.Z)({key:Re},Ge),Qe=ue(ze);return Qe.length&&(Xe.children=Qe),Xe}).filter(function(De){return De})}return ue(ie)}function ne(ie,ue,ve){var xe=Se(ve),De=xe._title,Re=xe.key,Ne=xe.children,ze=new Set(ue===!0?[]:ue),Ge=[];function Xe(Qe){var nt=arguments.length>1&&arguments[1]!==void 0?arguments[1]:null;return Qe.map(function($e,qe){for(var lt=we(nt?nt.pos:"0",qe),it=ye($e[Re],lt),ft,rt=0;rt1&&arguments[1]!==void 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",s=n(4977),l="data:image/png;base64,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",p="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAADAAAAAwCAYAAABXAvmHAAAAGXRFWHRTb2Z0d2FyZQBBZG9iZSBJbWFnZVJlYWR5ccllPAAAAyZpVFh0WE1MOmNvbS5hZG9iZS54bXAAAAAAADw/eHBhY2tldCBiZWdpbj0i77u/IiBpZD0iVzVNME1wQ2VoaUh6cmVTek5UY3prYzlkIj8+IDx4OnhtcG1ldGEgeG1sbnM6eD0iYWRvYmU6bnM6bWV0YS8iIHg6eG1wdGs9IkFkb2JlIFhNUCBDb3JlIDUuNi1jMTQ1IDc5LjE2MzQ5OSwgMjAxOC8wOC8xMy0xNjo0MDoyMiAgICAgICAgIj4gPHJkZjpSREYgeG1sbnM6cmRmPSJodHRwOi8vd3d3LnczLm9yZy8xOTk5LzAyLzIyLXJkZi1zeW50YXgtbnMjIj4gPHJkZjpEZXNjcmlwdGlvbiByZGY6YWJvdXQ9IiIgeG1sbnM6eG1wPSJodHRwOi8vbnMuYWRvYmUuY29tL3hhcC8xLjAvIiB4bWxuczp4bXBNTT0iaHR0cDovL25zLmFkb2JlLmNvbS94YXAvMS4wL21tLyIgeG1sbnM6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",g="data:image/png;base64,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",b="data:image/png;base64,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",R="data:image/png;base64,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",Q="data:image/png;base64,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",O="data:image/png;base64,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",V="data:image/jpeg;base64,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",ie="data:image/png;base64,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",Ae=n(31138),T="data:image/jpeg;base64,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",_="data:image/png;base64,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IsDAAJyemyeO7MdfzRKsDvpGUtAaZvuSQyWE5o4HtL0ZeS73VYKOxngBGCCVo10Fe3A20AE7QDbdwDWAFwGakmY+EPIKTWMACmMbMiZ18+J//6+Xflf/nhN+U1+YuIhpAbuSJh7CCBIAErgRsCILZPxZuO3CnvGy3LGBWhVp7mJWeDI12gUETJ5q2uj2YaXa3Q00pZ542X1q/o3NAOFgSUufYBjLTy2A7vpfmaXJmdkbdHx2TrprJsq5STehim8FUkLVQAA4YblInv4AFnbFypyaVrC3L59LNyNbzU81Z/Dfen4sp92+XwT9whnzo8Kb+6eVi2V6JEeRMsGMWeWLZaLguCBbSj8ofSpsKHIofCBpDAfQ0AjPXBuh7oDoH1AG3QX/ez4NTQocUBgIOuEwAB/AEkaGvFYCUBCQAQGAs0Ye2gFYPWD/B2fkHePn5B/tdjZ+XPXr8gJ4M7Yw3PU+gaJNBjCaw7gEAlydu2yIOjVRlHvIMvfkDP0VWyPisFlaC7ay/S1kdf09FKGDEK4DctQNLlm985zzTgkremjA1JG5t8mRe6itsgXczHtAEyaErFBnledz5G1lxbNEoSRbGUGiWpLy0ZMHHhx+fljExFK3nzCPc7k8D+L8a77tsqv/LYbfLp7SNyFxQ5/mgxMIqZFgFlJYBSJgjQAAKK2cQhAAzYHT/uo61xIViLBmgCPMAaoGMm8LJAzAOBh7ZoANi0nnfrCiF4wL+gifEJRHAN9OlGMUAoao/JcdH+7Rk59uIF+dL3zslfzvxWNNOZFEPrIIEggX5JYH0BxFRceWSv3D8+JNuhVNNiBlYpYieewI0HyKKh27qxBVn33PHxPS3mQN/z9XMXLi1GI2uB3ZgKA5icmI5u+EuTib7OcXx8w90BXhZXZG6mLu/OzsvF05+NFvv1sN5qdB/6k/iRn9ov/92+zfIzw1UZoyWAyhZKFooZu3kCA4AK/lEJU4Ev1xMFTsBAAEBQAmXO/i2gYWMmjDsElg9LXFsUfOsCcABasC5o4MP+ePHws47FwDXc0+BodkkuvX1V/vrrb8vvvP6b0Vu32nMQ5hsksFElsI4AIo7u/kM5vHtCbo9s9kJanIAWlq5xwOv0+6fVQnDb4XteTII7JvvosXS8QRHezYvbxjRkjc+x89r4Yjrc2AxfLYm0uI2sOXRSH8PETEQSLSzLwrWanP/hspyWJ6LljfrQv1f4+tCfxx//e0fkS8Nl2YNQBypa/kslDiCAa8iEAKBQz3/rM10cjJmgWwHXoeDRF3+wMAA80DLhxkvo/gQejLfA2KALQNPiUfFDHnmPAIgWFcZB0AXCwNCVuomHeOf/Pi6/9KNPRS++V9Yv8BkkcLNLYN0AxK6n4u2HJ+Qe7loBIho2Y6LckAif8W+ewN12Lo3Wy9NDi22NYnfu63vksRlJk+1wH9db4Edle7j8543j0iTPGC+N/xiuAwu8fDLScnDvp93TfK4CUA2JMB6ucUx+N0rD8sl58B5dNAtNmTt7Rd48/dloOm89w/10CXz4z+J/9Imj8r/DdQUlb4IhrcvCrE3UjoXQgZN0X6AN4xjMM6+UOV0bOs0SbQgGNFfGYmHdGq4lgpYE8KdjGQAiYE1gPAZdJkgTxT18H6rY2A0LOHCN8wA9jgtelmpS+z+Py0f+5jeiZ8MzEyQQJLAxJJCrsHvC5uNx9QOPygPVioyVlJJ0aWsl5VNcWqHl8aVpuW1dRZynnNnfx595SXuUe5oCxtj6XhrNIrLRbdzx8uTTyf00+WSN2YikOX1NTr3yLTkdAi07kXa77d/68/g/+cRR+dfMhGCwYytrAmfVW0WrMyq4c4cCp/sAlgH82GmtoIvCxDTYIdle08JYaOOmbIIXAAFmfWgrAoAALBoYm+mhrrsFQ+Ia01DxXbtWCFQYzwF+/6/j8pMvPh490500Q68ggSCBXktgXQDE0T+M923fJPugVJAeiEk0c0pPo51pg5Mo7amUZvLudysR0x4+ed2W0uJplureKj6c0y4JclbxmHEipn35rQpKTO0LHpoSVUsSw4XAdigEVHNWlzyaadt4A46VJ78WKSWvlkyVzHxrsWpcu076GmnDzQGevWuKQ8tE5FpdLj1/TN6QL5um4e86CZiU2rKMS3VbTSqNWErxoETxkkQP7JFf/oXD8i+hrKGMqaS1gteFowgOeA0PpIlrUFkVVPiIUUA7gIPWrt/GR5BFGixMAKR9U9CiwIwJghoGQDKrgsCFrhO0NxYKVciK7hB3DgQder7LNWn829fkYyen5ZgWYTQkcbQscWVJGhdF6nJcagGwhp9ZkMD6SKDvAALFovbtlfsqFanWlQm+4qneqKfMtm47KE6fMkP7PJqkr/nANbcfNB2tFFk0qcTBTxpNXGddBXdJNc/ufLN4zOuXxrMrI3cM3yNHWmltcT9trTj3hUWZfuGcvBbqRzgSfjyubrtHDoyW5JHhqnykUpKHqiXZHUUytNKUaO+YDDy0S0YhYzf+QVOCTtb1H5jmqWMN0B7XCSawo6dLBEpdp1/qzA20ZxVLukCo2EHTBGWqypcaDDAzQ2d3EECYgExbt4L1J8xv0Y6HgE/72zRzW6xJ/NI5uXZtRRqohNm0cL2Kg/aaMltryomFmnx/ribfWF6Wl8//tlwMxafWR4mEUW5dCfQdQNz3pfjgWFV2tvzmOTv59ViKRknisuVDf3bHzrpXlM+iNNAONIvwpcfutp+PBq+Rh7w5Fp0bYiPml+TyyxfkzQAirFSn4oF9m+Xh0SH5xUpJHi2X5WAlkt2ozUG3xOZBkTsn2rEC2P2zdDSoMH6BSpvxEVTwegfPOgvod52lQlkeNDhgO6Z9QvkzwJLgRGdyMCbDtZS4fK6yINg4Dj0u7msaGHNmSeStGRECC03DntR7rSlyaqUhP5pbkm8tNeSrp/9Z9HreMxzuBwkECXQvgb4CCFgfbr9NjkZlqaTFNOSxrmMGzEtTxRD4+hYZJysOYdXLrUdjgWbR+A5ffERW/Qh3vj756DY++fhiQvLWpZP7oN8sS+nyNTn9xhPR6U763pRtn4yH76jK+zcPyn82XJF/MFCWbSbOweY1MoYBBZe2DCX/D9uAQ1oBWrUbVI1pKnwNEpi2qXf+WkGbZ1OlThqXh3UzMDMDbUwchEoZ1evSqkJp0zwZa8Fx9HkZnCP7uGmh+j5dGTPLIufmRC4ttGWkQRLmrc7VaCzX5cdXl+XfzK7Ivzl/NRSfuil/Q2FSG0ICfQUQ93wpvmO8KrsR+9DtbPMAg0u3CIDolpde9UtT4mmBn5WGRPWUMz56xRPBmQt2suh3szbvLsqJdz8dXe4l3+8tWnF0x7+Q948NyhODFfn4UEW2Mk6AlRthLaCCxeddoyJbhkUGSu3ARChzBlfqrAsGHZr1tC4GAgoNHOhCYHwDsyloWbjud+VUu6TlQQdgkn8dMwF6mAuDJXUbjEF3CTMw3OBJWBwuLohcWmxbHwzvKkBUAwgDLGJpLtTkjbma/NnMivyrS78VnX1vPSOB2yCB94YE+gcgcMrmLjlSGZTRUl2a3WYJuH77vIyJNH+8Xg5NI4te3lhF5uRr44t3gJ+7KF/uXFzln2ZRcC0vpKN57CSWJO0Rd+fXSvMsSYRzNV4+LT/2ujKm4tLEZhmfKMvd1bI8WC7JXaWS7JVYtg6UZGCwImUqPlO2wGYCQFMOlUUmR6Q0OSjliREpbR6U0kjFBHJGy6zSiMJLthoj/OgMXIU/nWZ2muHducE3jzHhLuC5DmhjSjhbugw6xHCIN8AflL5JYbQa+sqSlM5ck00/npZd9aYMwbKAP2ZF0BIBpctaDTgrYtcmkfGBdoElKt8VB5q34g6sJUGnblJ2GkgQfPDcCpbFJujQgMKVjXZNuG4LHUSp3R2MteA10ADP2hVC2YPG5cXkf8iH4EO3xXW0g5WDsRzoj2dwcliu3j4mF7aPyHK5JDFOGa2Uk/H4xzXFPZw+OmiLcy3gULH6qtTXuIpU7pI0I4RBx9Ko418+E+0lNqQteGs0Yllcqcv05SU5fX5RXjkzLS+9vSKvTT8h10KMxntDSQYu0yXQNwCB8y727ZXDvpMkfez4qh+aH2JZYl2J0a3K6FaUzBqvaLXGtNMv1zIX39i+SpBp7YqOrWWbNV/K1rwAbU2MvPaknbZWmqbmQ/MOoHRhXk6f+Ex0ftVz8Hhc3XVEDm8akocHq/LYQCT3lMpyoNmQnQNVGUYEP5Uho/e5e908JLJ9JNmpI25gYig5oAl1BvBHU7zOANCHS3HXy7oFVLCuUtPKlidPgi9eb2U/WHeErqhIhfzaZZFXLou8Md12HWgXApShLqREd8b4YDI3HLuNedG8D6CiFSt5ZhwF5qzbEiCYOdtzNPCvqdtgS1ybgEy7OHQpuPUiGABpgh7t+Re0BOjv5lhxHI5lz7zg+Rw6iJIyJJCiDBZqSezDkj0zw9TCsMpZp3fiuj5llAocMjsyKXLfdhF8ply1y4XywjyxXrrEd2vutjKmloEJ/LRpqqwQyrUib5TDUk0W5uty7sKcvHFxXo6fuibPnbomP3jlnIkJ6to6GxRbkMCNlkDfAMSdfxDv3LpJ9iAlckUVbepEQRI8uMouTdFllav2KUwfQOl2QYooeHc+WeAnr+S1C6qyQJmvbHeR8thpgMAFB1ngjwBlVcnxpqy8cE7e4PkZW3433jw2Io+ODcgnxgbk58qR3I6DGptxYnHQ5Zm508U17Dq3DoscmBC5fTxREnq3ixc50x/RXscIUKHzB8DgQG1KZ5wBFQmUFBUilVHL924D//ROnMCE8oKifOa0yGvTbaVIIKLrLHC+uEclhXHAG6wQ5vTKSnvHzaO5OScofyhqyo5ggFkYDKgkr5w7D9xyFSB5UHWoDPhAfwIUPY9WLIedOKwkmBODMA2fikfIBf+DBkADDtkC6MP3xVq7/DZdMlxjLTOurT6mHPfxfHxkn8jesfbZGwSIBEzkC+4SzAvf8Wzx2QFvBGFuSi1omeJbNoME66LdQbTEoF29Lo1SJLWZZTn5o0vy/7x0Xv7y1Lvyw4tT0Vy3753QL0jgRkqgTwAiju77khyoVmQT3BerFE5KhUOa72nudt0e3uBCVcApzx/v3tf08vp2s0A+fula0ON1y0eRglTadWDAgEqjzZpznutGyyNNru54LuiYWZJzsEKMPxlP7hiSj41X5R8PVOTRKJJJvuDZh4pYpwzC9L9vs8iBLYnlAeDBvKTVgVMaMEAhgA7N3RxD79ipgKlYfbtaHfRHd4Pmk24H3tM+f9D7ylsib125/oliYSYod320tS4EhV6u5QTXtHLTdRpaIMn+ynW2BudIBch6DoxfMLvnxuqzM1qKV4El8qploGfHehMAPaANYADaeh768C7OkfOiiwJ9uIY85Ivz1jt/yl1bj37ugMihLe1TR12QwRgUDSBIWz8TOr6Ez6R2CzF2Bc8I5ql5AD0NJhbrcuGtK/KtF8/L//GDU/L1K/9tdLWb90zoEyRwIyXQHwBh4x9KkZTrTgAllFMVQYH2Or/XbJAg7hlFEEkTu+Qq6gzgswM80CYrswF0SNNVZhyTgk/jUS8MaJE334Lpsdyx+Z3K1vxr5+by6PLGsdzx0+Sj50r5kG9NoyV/y4c7J3c++j7Xg+uYxrO7xq25oIx5U5YuLcjspmH5+fFB+SeDZfmJqCSDeIkbv7g9AtoXYAhlBIsDLA9wXfCIadflwJe7DurjS5zKFO4A94VPOgz+c5UBlRnmo+9hJ4qxAG7QBjtpXqMF5CtvirxxZXWaIoGOtjbQeuJaF3T2gt7pUtHpdUJb9ueuXd+n4mWmhn4Z4B6uYz2gGN0sDjdzo2UVsKW2GdNBvhjToV00+phvjAVZsuqly7fbn1Yayky7JfSBYfj80TtFDk+2S2sTlGCOLfeOrejJZ0aDAeOisGuLZw1taHHR1jECLH02CJ8lV/6gs1CTudcuy3dwVPkLl+Sr4aTR3qrCbb8Xj20dkW3Dg7J5tCpjQxUZqlRkAJXZmw2prTSk1oxlpVaXpfkVuXqhLtPnnpbpUIis+Dr0BUDs/P14dNdm2Q/FUlYWiKYNFKSSKyG9z15Du0al5XpddQYDFC7aZk0LdMzLyrbDd93H/c6x3IBDF5j4ePXx4c7TNzZ5IK9Z8tFjcP7sx3lSdnny0TLWfTiGL/vDnY9vzq7VyAVq7KPXGddAG6m9i3W5Z3RA/otqJB9uRkn9A/yxvDJfzlTEfKnD8vC+nUl6oxvxr83vrfGtn573oKjMwVNR4g7Ag2V2n/asCfrktRWB97RVQwMWKh64CZhySRM4D6YC/199qw0gdMEm7uRpCSDvhq5TF4FyooWEx2JTbvrES1oAXDmZ0zIRl1BZXe6aio4vBipKXfKaoECDHMgS8+NOW5eypmJlPw2UjKXDBkISZLE9rTfgEeOTtj6vQ8dEoJ8LPCCjjx5IYiG4nuBNy16DSfTH84b1wDoyvkEDFQIrjMc5a57xDMBFQ5mTXw3ECLCW6rLw5hX566fflj849px8O1RsLa68VreMowO/K+MjW2Tb1iG5Y+eo3Dk8IJtLsVTLZamUSlIuxVKOIrM/QWE2U4sMAbEIWYK3sN6QeqMpC1eW5fz5OTlxZkZOnZmTWbpau+XsZu7XFwCx//PxxJZh2WMUipN+6Dsemv74tJiAvHgAr3JzjgF32xQ96pv9dPyCb7wsHrPiDfLiNtLG98WHpD2oWuZFAybzAiV9NN3x02igXHN5QO6qivxyOZJfiEoyxl0jAYRRBhZQaAUDnzaC4qAQGK8A5UVFRAWoXQlUwLxH8zMVGsfifb7otTLSyoz9uYPVbhMoI4INKl349UELYOWvToi8Pt2O1QBdWi3AB2Mr3B+mnoPeDaMvggx10CRBjo7T0DtltEUfuksAEsgHQYlWxq0YCGzdrKwpO/QFP4zJoCIl8IGyZsCl3vG7FgVadRjnQHmDHuWjs0DQnvf4nHBsAkJ8B18fP5RYINAOMmExKh2UC96wPqAL2WAsukz0ehMocnz003EPLmhk4CWfRw2KKfPZFZn5wbvyr144L18+/hvySsjO6EDlTsUD926XO3aPycHd43JodEAmY3tcgj1tWOPp1iY0iiVGfR03eUafQrzSkKWL83Ly9DV5Y/qyvP3O70Qe52MHvN6ETfsCIHDy5vZB2dpLeUWNxAIRl7NP7CzarhPeekkTtPLm4AUoOf18PBbhO4+fvPudyLHVNpYdwwPyyXIkv9oU2aHNu/hMc7kJYrSnQOLFj+tHtyUAArtDvuRpyte88MEmCOAukDS5mzXbD5puHCcAACAASURBVGue5sudyoEKyTx3tuyyG1ehTeemnbIW6PoHoAn6334nCaKkgtQBmjTjU9lokxuLM2F8WgUoJw10NEgyClQFAHI+DASku4AmeVw3wZo6WtLOScditICWrUxJ8EL50zIDnt2MErTRtSN0XwIVd00YL0FrANM1ISed5aErcdIyAVDwM/sTlxfnQMBBxe+Th3bBsOS3AXiI4bABk8zYIF3MmweEEUjocuF8dlyAh+9n5+Tks6fkqRfekj8Piir/rQIr98Ftcs/uMbl/fFC2DUQyZKwITZNtLTaWtUWoLhLra/jOm+51fGd7WEoBSJbrMnN2Vt44cV5eeDOUSW/JtS8AYv8X413jkWyOKhLH9bbCx3f9aPCeez3r8cmiZ17gajzSIX3feLhWZPw8XjUdl2bWvfyfin9OWXNzZaDnX2SuLk9p9Hy8p60PriOHvhHJUCWSRwer8k9LkfykMaVbhYWXrg70w8sYL3kqlG0jIg/uENk/0U4NhNLQwXTaukCFqY+0xjVaLrTlANdZMZE0uNvkORMaUJiXlIrT8LkacI1Bm4xH+JsLiQvjwnwiPZ1ayEBKXbtBB+6Bhluumj8ogh4XQNCioPmjosb4VHr4TFcRZE5gRDeFHgfXeAgXdvN0u2SBBQ2uaH2g1ailUM2rP5mjjo9w40E0wOQ9yomAhEDxtjGRR3YnKbA8RpxrxzRb9HHTcgnm9POonydmrNCdAVChDwvThbPw/NBFBRkZ3myMCddipS7xyxflL79/Wp587ivyXPDDp7wZp+Khh26Xuw5NyAfGB2ULXBL1hsSwKNhnzPwLN8UqXSMS62vWM2iauNfxnfd5r4wjHZEptCJLZ+bk+I+vyvO3dkG8RLp9ARBHPx/vjqsyVo6k2UyxGJQaprxxEregPvM7Fx9tcF9/T3m0Cl92x3M7cjw9dto8Cg+qGmr63fTP6uObW9H5aDnrMdy5p/GfN7Z5Hpqydbgi/7hclo9XSnKAlgUssLtrYywC2uBBuX9HEk0PIKGtBDpFE0qCRZx4cJQrLzfCnoqB9SU0PbevHpcKmG04tt7BM/6B/nBUVTw5I3L8kt3N2idbz5/0uHvVVg+mTaKNLj5F4GB25ZYAd+G+52UVTRskydRJtCeA0LLCdShM1kswtSMsca0QOR6VuubHuHdU8KIBh9btY+jbol5GGZfbmSCcHwGPXgcdN8LnCfJGyiueGQTbkpaxcNlMF9JsgQDnHgGdlh/BDa1eOp6CwJTPhQFINusEoIzPGS00OqAXIOPdWXnhxYvyv333LfmT878dWYjZ6zfEe5ceTnU+skN+cnJY9saIi8NrIF6tw6LIAgnPdd2W7SAN9zq+p9FBcAuMenN1mTk5Iy9873vy/K0ct9I3AFEakFHUgEgz12vTOD67x1WbhS1LZHauKpND0/NZG/jz0Dtt13qgx3OtE+ivr3EOtCKkjamtLT7Li+6naRb5OWdZDbKsA3relDfdGlreWma8r/ly15C03LHd9abM2B7mxWpZ9g2U5b8vizxUKcsWs84KyWInSCVBNwOuQaH89D6R3ZsSXzUVm1acxhSvdsR8Ubtln7mLN4pSWTBcv7veNbqWDcqHfNAsbtrZOgd0v5BH8oEzHV6+IHJmru3K0JUWXdO4m3HAmhDgF1YDAg26STSwYcwCZawLJWlFxwBV+P81zbQ0TaN0bSCqDt6kYteWAI5DpasBBe7ptgSR2o1Dmq31tARoqWGhMJ11smkgAQ73bk+sD6Cng2eh0AmiaPnis0B+jMuEVUzVmHo9CHr4LOmASfe4cv2s6bXiePMrcvbVafnmX/5QPn36s9F0kXfDLdFmKh74if3y6MHN8v6BsgxiWVa9nyxY8IECfY19NEDwAQhXpi5IMWsdSQlWj/OLcuIHF+Tpc09EF2+JtXAm2RcAARfGpoqM1lZW14AYUNaIFWVV6IfgXSWeNgbaVWMpaX7Ip8tjFs0sALHW+bk8ZvEB3mtMkfW4c9bKCwFWFnjzjQGeK/BPluXukQH5cklkb1SCq9JfeAcvaV05EooM0fQIomQlRvTlDhAvZ7RhSibuuYGD2pXBI69pitcxEuSfPnIWWqJlwyhEa/7X5ZwZk6EDB90dPJQ+6KE8M2IhTs22ayPoQEj0QzvQokWEytVkCFQTxYsATe66qWD1bh28avcGFTN37azNwCwKADCACPzpMzloktfmd20F4HWjUK3rxmcV0aCFNHXtCgIdHfkGPrA+DNgkb6xOCpkSeNK9glNMj269PlNHy0NndRjQalM0WTmTbdNcSnxOdK0PlgQ3z5+iaXi2xcwIFgkorELCHGAe/9GfHpOPXVeptRc/3PcgjT2fi7c9fLt8ZHJY7mjCVWFPLd5AUynX6jJ//Lx88+XfjF7dQHytCyt9ARCHnoq3lyPZBKWhd7S+naxvlrqdu3NGe59Vw7dzdmmzn4+nvGscN20c0C7KQ5F2mvci881qo+ftk0GanIxyd4BeVv80GbAPguCrkdw/VJG/GKzIJiNTay7XSscNPMMLF6DhYwdFULaagYEEEMavLG3LBHbQUF7cGZM2lZdOA6Ry0ql3hi+rwXAfipq7XJ7doJUnLQ30ddP0zXoWlC/oME4A9M/PJ0dUA0zMrSRggIoG4+ozN7h7p8+cLgZt/ucOnOO5gIJzILDSNSWoxOhS4HeuES0wujQ2FSwzaFxXBXfZDABlHIZ+6XD9QQuy0dkZXC8NIBjEiHY6QBQAApapiUGRHaOJ9QH/alcNXSoENqBPixWtOlxrrrP+bTAWxszDpvxSBqBNK4fOfuEzyLVgbAWfWbq20BfBeleX5dwXnpZHX/ts9O66aIANPAgOY7xrUn56fFC2IsWyE1axRG4cRCf9vXopnWa5GcnKm5fluedOyfO3UnnyvgCIvU/Gk2MDMhZVnaDJmgqodO51srixosN+7ljeB8D2K9K2E346aQveOx2f883qp2XSKf1O+TfAoov1ixekJsPy0Kaq/LvBipS0gnPz97UCw8sWJulPHEnOguCLnMqBZmaa591TIY1StKZouhGYgcDdoFYqZn4IcrPZGQQqRmnx8CtWVLRZIq5yMfzbEzPJJ0sn0zeOsQEcEBcBS8TZucR9QBeOCwA0ANG7e7eIkgYQ+p7OENG0SUsHXFLZu1YGni8CK4WWmc5E0BYQAh/ywZoVBAeM2eD6s/YCgw21xUMDMfYn4ABfAAx7NiX/Akjo4Ff2dZ8Vgja3zgSDMPWzwxiHlotH1b6gq4h1NzieLjnOdGSm+nIMA55sOu9yQ+b+p+/JPW9+KjrVye/yZmt79x/H+x/YLj+DjUYjlmbZxjZgno1YIv29tbYp17uRDcaw76BVgf/uWGzHtm9dlZe+e0K+5z0ssBtGNnifvgAInG0wOSbj5kWckX7p7vqLWiuwox2stMHIcr1t6XCtF1r+RXbpmmcvCFFumG6sEQODUgK/HMfd0fu+Y656ji5f7OO2y7MWkE4Ri4geA/2y+El75htNqeGwrE1D8u9dxabT+ajcjIwsMQCIX7q7bQbmS5cvYW06ZhYi7hEIUOHQKmDuqUBE82KCc1WVWeaOmDET2OGin64wie+M7ucOFLTouqBiwDUoDgIQXbgK10ETykwrZSpv7tL1blrv5jUY0NkSrksEPBh/v3MUNtNNtStBWzbIB91KrKWgqzWmvUjAG1NVOT6tQ1S62kLETBj9PKAfwA1dCbTMgI7OFgE/Zo2se4my1G4m7TYwgMzG3LhuCh844jOEfzVIovxp4THPps0ownxgKdHpxEbZ2Ngb3cf+rhY/9x25+63PRO9scN3RN/bu/6P4wNEd8tODFRkGeMgbqGkzMEpJXQfzh2tp333ts8Zge7v+3ked4yEr5NSM/PDbJ+U7t4Iloi8AYu+T8fDIcHKmgf5rKstBqYsdbOvh8FggXHoYy3eNNIqM7+O3yBx8Y/t49/GQNWZae1wvwlfeD7HIfT2O+UF1sI61ZakDQIwNyb+nYnGD7ais+FKm+RuK4Vfubr94jSK3Jn+8jPnC1ilznI/xjzsxC64yoIJnH54aScUFcIG4A/DDQkPah05TtK4pwfRAk45qlYh6wbUPu7KHfpEnnaXAHTvN70XWCG0YGOjWyqDiI4DhrpouCrMuNhPCFyMA3gyAwPHX1qevXQNGOaosCw0OaPonT2jLGBaCIx3kSQsO2vHYc8qIu3laMJiRQv75HNG9hH58NvhskYZr6UFbAguffHR7LWseVmau2WqUOljTKraWe40ARoOahZos/v7Tty6AOPJkfNt9e+Vnh6oyHDfzwUPR34OvnS0kZW4xDbQoPfTVffR3AJcTV+SlZ07J9292ENEXACGPx9WjR2Wb+cEoS4G7OCW7E89qY14Ytl0evaKL72u3HmOshb9u+haVL2l32p5rk7d+pN+IpTZQkUdGh+T/1cGFdA0wUE7vhI1il8R18atHrXnfph0yqE5bGXQwJV/ubqVCfXIi21AxQTlQ8bfAAK7ZIktUHlSudJcwAI99tHtFpw1S0WE8Hc3PdE+a3Zn9QGsHd/HccbsZHtxlu24dKjAd2GlkaktIo1+rIJU9VdJUlrRplG4mgnYLUK6sEKmV5qqTN1kp1MbOk1dWhqSlyMjEvpE0AMB9yIoVJGnFYVApAQxBk9uXipsypwwNULCZFq5bjIGksCDo+iB8XjSI0Jkaeh0YsIo+bhwOQQpBBy0g9YYs/o/fvjUBBFzfj9wmPzdUlc1NWxCqm/feevTJAhAEJq9dlu++9Hh0fD34uVFj9AdASBwd/H3Z3hiR0vBKYlZaHEjM9u53XsN93tPtXcHoNj6hcRw9Vla7NH5cHrLadbJ4afPM4yNt3nq+7pxdmWs+fXLqZXufTGarsjJWlkeGqvIVXSuB0fQ6uJHKlbtEnHsBAMEXvd4du8GKeLlzhw0++HLWQIJnGEDZaFM/X/as6WCC5SJb/MfGNBBs0D+O8RhsiTHcQlXaeqB96iySpeMMKDcCCProtVLUJ4u6Pn0qS/rZXV60/5003V02szqY1cKdsqkBYQGHdjO1dvS2BgdAgHYJ6LUCfwR8pNcq1mTfRqSnlStdVDxqm+vmK/TE/rSkuCWpdZCuLyOCMtRWCH2Na8R0XT4PWo7mubPPjVlzm2IM3igbbZFppeI2ZfF/+NYtCCCm4oGfPyI/Nz4su6MNDh6wtvan4I2P4P16LLW/eUe+djMHxPYJQIgc+N14c3NMhs0LoyZxqSZxsypRXLXBKQvSxHcj7KpEZfU9TyGThm6HMcwP2f5rfvCWPtuxH9vmjUOedTtNHwCJ8+M89Hd3XN890iOvRfh36WT1SZtjp33cefvWNE+utabUhgblkfFB+Q/aL02zteaVL1/uvMcGRP7hPe2URr7QuevU1RPpo6ffGS9sXb2Q5Ya5o3VBiRuHQCWld9rmWVMHJmkwoXfIrkUA/ZgOyowGtw6CBiGUia8gkU49pfLSaa1U3FlKFvSpaMGrjgnQAY46W4GBlPqgLj1/t94BrTosB05+tLuKIFAHY7ruIG3d0Udvu1Yf95mnBQPjoR8DNDkPzp/9mDar41Q0SDIys6qD1gkdcGveBTZLg0AY68LMCw2++BzTKrbSkFsvBmIqLn1wrzxyxxZ5oB5LE6mabgxD3ru6m/tFYhuK0vXxW4mlNLciV394Tr528reimaK03kvt+gYgZCoeunNCNlMYWgGlCWh+sJ21Mbrsr5KJNrynla6+TvqaHq6xX944vO/y4BsDdNPakw/wqefvG99HQ19zx06bQxZtLQO9Bu7YLg13bB/Y8a2pK/+hhtSGh+XRiSH5qgYArg+aOzMqfrowfuVo4srQBYN0gB9N07RaMCjSBNvZOARdBwEKgrtcDWjAm95BcwxtwTAAwgZp0u/umqNb62/T/rSy0DEZrlWAO1sCK4zP1EAeJ61rWrhuBc7XjWFgnIa7VpCDjguAHK8LNlRBgTyuXNdlYKQbQRHPq6CyZowFlSt5oGtIWzsoWwI5BnnSDUMQ5tZZ0EAFbbQ7gUCOB4dBNoirMbQs81wHHaypnwX9nOrS19qqRDkQXGrrB+dFtxCfH8iIVVMXa7L45HdvLQvEwS/Gtz+4S37aGG1sQORalLt2L7gBk757dl28upDuCPDl48m95sZVlCKpnL8mr3/7P5enb8ZD0voJICp7NslEc6ANBEorqiT1gERZ37NQmKbZAigrErvXNf00euzja4t7vM7PafPR9H38mYdUzb+lXKx89Dh6Tj66Lp0iPLnjabpZcvLNO61vnvyH6lIrj8ujk8PyV7qOAV/8+gXL3SpewHjhIgsDLgwGNeo+vuO3tfKmEsOYUMq0QOgyxBxbuztcQEAzOl/24JF+fyoDghbySSVIUNRSijYAkcqHdMg3+dDBoVBKjLWgIiZ40Ic8uTEh2hKhQYRWnG4cA03tlDNjBSBrXZaZypA7aCpu7WZxi2lpVxX7abM+LQA6sFOPQ+Ws6bbcHvasCW3dcOcAHhnjgc+MYyHg4BroWg+t5yNqZ7HotdWgh4BAA0Dc14XRtNUHdDjnuZVbLIjyqXjw57fJR4cGZDLqUdCkG5+g31e81yxJXGrmH+VQNNCS9Nz2HO+li/LNmzE1t58AonRgSMaWKmJxvkg0JHFklWg8IBE/Y4GbTSnhfpqi1/1aP/AlVVdiSOLY+e7SyqLhGxv0eF1/Jl2XHr9jLteNbeeOea96oC3PehzzEs6Rhabj4y1NjlpGrXnYsdLko3lxZeyuoR7XncNiU2oTJXl064h8Tb/wdR9fWWTchwvjl5GFoXbHVCpQPjr9T5vhGZjJF7i7C2cgH5UBd870z9NSYBSNLXTEwkYtywRPsVSVDKlQ0oIOcZ+Knal8VDCgS+Wj6wrQrWN+L6rQFT6Dhg6IpLmcrh0GBaIvsxt04CZ337yv10S7YZjmqoMztWWGpn13Lm7Giuv/p9WEPBFQaMuBkamTTaPdHGhLKwXpcR4GtCi3E+VPOa4CADbYk7EtGmRg3vq547z0erqWKoIzrhvnRN74TOL6rZaF8cifxg/dsUXuQ8bFqvrUyTqbd6UvQ4Jty2kvOntdWxB0U7oceJ+WBNADbU1Xg4LWOzOWGO3II/jXaaNoh/uV5NjwytyKXPqrb8lf3WznZvQPQEgcbfs92TRUbQOI0nI6QGgOSqSVYvmaP4WnMdZWzlp5gTZocIGzxjKLa+mQhq896PG6/ux7ZkEPtFw+fPz42upxzMvMkZWeN2VDmXFczitNduYFpmRURFbuvLNk7NJ257C4LLXxrfLY5Kh8vbUjVyV+WWVR79SMMi2JTAyJ/NJdCcfaX+5GwPPlrOMWqDy05cB5mZiHjVaPVmCishIY2dlOOlPA7G4tj75gPaYsGjeELRbEWAOdjQDSuiomUyS5W6fyc5UPxzdxE7ZWgnaJaACjlaVrPcH4uhqn3t3rVEmmxLKUtlaWTH01CtHKSpfM5ry1FYXprXSjaAuNG5uhrRza8uP+HunuwXrouAuuk+vacWXkK/TEeWJuBHXM0NCZKqTF55u8GWuK/QLZEGjxGWDgKVwY76k6EFNxZbvIUHWTDG0alcGBkgyVGoLcu2q1JFFckvpiQ+pxLLWayEJjSVZOXpUlmYqWtk/Fmx6+S352uCIjUOAuUEhT/jmYYdXtNAuCCwqy0jjTAAQGKmKhYJsTl+QHN1u56z4CCBGc2T5Yl4FSxm561YtcWRDS+jQLtCnygJFOFm9o0wnvnbQ1IKGgXIzySpm3y2MnPBeRUy/bLNaltmlEHpsclr82pnub4cAcf/qVXXM0lMz4YGKB0ArUDW7UyocmfZ2iaGSuiktp8zndE1p50KqhfdQ6u8Gsi41v0JkgDPDDfR7xzDQ+jI//GZTopgnqapO6MiR51wqJvGjwo0ESlRauceesDwzTCq1F1+7SmaXCOWr/P4EITe8GfKgy3RpgUZmbmAorex2/QXeIDv7UYxEAmJe1tbrwHBOm/2o3ENvRUqXdEARjrntIH07GZ0gDAcqeAIipuKsqdypwQOtMy+1i+daxFW7NCMaOvCcsEE/Gw3cPy84tVdkxPCCbBisyWo5kpFqRCoAAd/F8pvC9HklUakpzKZblWk0WFmoyW6lIdeug7Kn3yHXhe1fRKqBjFex6rtJ97v1O33sYJ4tGuSzl+SW5/LUZ+aY8ES13Sn+jtu8rgJCn4sEDCzK0USefx1ee1SGvf7i/WgJLS1Ib2SqPbR6Rb3AHbA6GqiSKmACCvahIoAwAIGCBYP0DHSBHhaYVKnfAbqodzcXM3qA5n7EG2pWh77lKWGcacHdKUzXnQcWkXQBG2VprBK7zYDAGhmpfP1M5teVAAwkqcCrQtOetpTAb7Z2vroVAOZN/mv9phdC7b17T2RKMMaD7wQUd2jKhwQXWhgBPBzCSHxe0+MCEjltwLQcuX7qtXhMG2PIME/DP9eU83WfMBVwaHPAZY+aMnoeRjTpoS8vKuDBWZPH3NmIhqam4cnBUJndskf3jo7IdlgYRGWBwIZRnpcBBVzgFGMoWu3Kc3ltTNX6K9O/0nVq3cQ4ubV4nvX6MrXnFeJj3W7Py7I9+/eapMtpfADEVVyYnZWRiwR+sMjOSuDR4n9/1NfeBQRtNT9PQ99x2oOO21bTTeNRtsvjzjeeOSVruvH1jgJ80ft35u22L/MjyZJ3FYxH6vnUbqUttaEge2zos39TplzQ1u+ckUAHgXxzJjCBKKmAdgU+Tstk12he0W87YVQo0j0Mh8oRMKlBjTXAKGumAONdP7+7qqejcAk28TsUC4ARlw106eafsTLCnDdRkX5q6CRp05UZadajsIDfuxAmQSJtz1P55XzYH2pvYD+WW0BYP7WphjAjdKrQ4MLAUtKjEKbMWSFJFpDSPVL60KLnBRRog6mdOX9e1kHV/Ix+HoE7p1O4xWnMYwIn1wHz5zDEOR5emxmdaSYwcrePejc+gVQr/LtU2WCGpqbhyZKfs3DUo+8aHZQ8AANIs00z+uBcXCE7s9B3insKpx+C9rHE1X53y6DsBlGPpe3nzhuyurci7T5+UZ2+WCpX9BRAismcqHqm1XaISD0vUHJaoPC1NfDYvlcX02Ajfg0YauFeyfUED10lLfyYN33hZPLg02LYTntkHczZKLGfemp9O5KPHwRhpP1DKjnJLm0ve2HodOVZjcnXwqOYD7S8tSu3ObfLY7k3yrdaaqPMu3MOeaJXASxjHeP/avUkvHSSJNjzYCWCAhyKxxgMVBKPcdeYFFYh2dyBNFGONDSbuB77cVyknlCl2fjlaabuydy0IvO/uTHU/TV/3d6+ntXNp0bKC6/pz1os8je88Pl3ZcEzfWL62vnY+Xnzyo2XBx2OaJSdNBtpVAzAxVxOZWRK5tpK4oOiGYDtax0iPcRqM+SC/dKXo+BDWi9g4Low42v9F2XnHqBzBaZhIR4QBK01WBBS+eAFfHx8ASeuLtg2b3lm2gZW+2IOsWAX0L5Vs3Z4ksNGr+3xxGLxGHsx73FpRNG+aPtpcxyOCrJvS/N4F+cb0E9FspyBqI7bvO4BAWeudh2WAk2/OJwtXGpVYf+5EOOjnKjjSw7/mhTUvET/7xs66pu9pGuSX/BfhmX3Ib7kkzax5dyuforzpdi1FZmW2SkmqdfK+0O0aYD6831DZJwByruwuTkrtzpJ8YMeofIsZBb5KgDxkSWcgbBkW+eTRtrvDNSnj5azjELjLJ2/uSZ1sj50k7u0YEdkzJoKKl2Z9+//LKPL4hDYbTAJ47lBe/MK8yIUFkdnlpBCXLg6m3SO0LtFSo8EUXTgEt7DKbYQgSpxltHuT3LV1TO6ArmRcQz+WAumPrfdQiuUirw3vZ6Vl6rTNrBROPZZ5DyiefHzk8eaT2fl5efX5/zJ6pR/yXG+a/X9NTsWlPdKOg2iM2p34vMT6cycTZz/dp2zp4V9cRxt+bik4z9i857Z1aaSNmce32498op8e00c/izd3XN2/k3m7fPhkRVm4/Lgydnlw1/r8oNTvFHls97h8m7SwWLAK4KWry1ubMRG5bk3Fm6qJBUIH47lpiK2IdltymmZ++pxp4qfLBC/9nSMid21NYiz0yz1vXcP9W1cCBJd4bnEE+2vTyUmqdPPQEsHYD/MbU9VQdW0P7QJCu1rzxtaBOPj78Y69O+TekaopAtgoalHo9mlwD6Ty0UGbLD66sX50YoHodm6+fnBzXKvJlWduktM6+w8gIMXH4+qePUk6p1YqpXFrLZjNL+ihFwP9mrMS4d9aIzFLuQDCt3i+8TrhgeN28kBRyepxssYs2s7lgf0gDx8YcoFBtSxNLbs0epBz2nxdeZAHo4idfrh3+sdSP3i/ARDfgTLXx1SbmAjrznCPpAaQQAzEP7qnbX4HCNAAQn+m28GAD1tCmC93vvwBNvZtFjm0pX30difrGtoGCfBZurgg8sOL7dNhW781m2Wka1rgXivbSB07jmccYKLRvFFBlHF07xfl4G2b5XAUyUAcS0OXZy5aWrpou9ZmpNR+vzSaVh90eBR30eO53aqRvsyMckki8FGUZtavII1GI5bll87I9y798+jae/1XtD4AAt6gp2RApiXaO95+YE7PJg8MrvEzv2vB4t51/SZt37qU0uikLY47njum5mWtC+ybm+YX9IuMl0VH8+ibm3ufY1KmLj9FeSJdl45vTW3b+r4t8tiezfJdPHg6iE3HMRgAYg+5Yhoe4hJwnDeD2ezL1pDli1xnWNCMjF2iri/Bl/mRyQRAcKy1rnPof+tKAM8aXBkvXxCZW2kfFqbThPk8GuBsEbJb/RPPJk7jXPcsjE/G5Qd+To7uGJR9NkOimbfr16ut27r98iwMvmBIHw1fhUfy4LNAZF1DP99pmuZ6ki3R9NWg6NQak2YZwRivX5Ln3/6t6OyqX81UPLB/s4xEkQyWS6aORjkuSxQ1JG6swpAgkgAAIABJREFUSH2uKcuNWBbP/7YsbJSy2OsEIETkk3FZPiyVQq+ZaWfXC7CgryXfk5/hZMoOGffT72Heie8+rQ3uaRr8zHE7GTuNF87JNx/f2Fp46FtEDpxH3lxJW/O0erx2lVBXZnl92P5pqe/7kDy2a0KeWZVDb2tCUJm78Qf4jkqUbhZGWlAcTMc8M4JR8TrI8fCkyN1b29UcCz2ToVGQQIYE8IzSEsEAXv08AxzodFjcw3dmHjEjZ6m+3i6MOHrgT+XencNyBwL89BQRKKiDF3UQYZooOgEeRWlomuAJfBYNonSBDr+7AIIBkG6wZpE5Z82DYGUV2ImkcnZWXj1+Ud65Y1BGt2yV7SMlmRgoy2C5LNUoMmeClPQc40iazYbZPzVwHtzSkly9XJeLJ5flqszK8o3K6lg/AAEJPh5XZY9V+NcrodQy1plvLk1HK/dOX3e9opM3Lsbphs+8fuTfBStpY7n0dH89B9+4aW3z+onUb5+Qhw9sledMeqJ9gaKbzpKA8jfplUiTszRR+RB1IAgMdKlp86K2BZDIAl7oLDjEFznobRsW+dDeJFujSJZB3nKG+0EC+pk7MSNy/FK75LZO//RljehD0mCRWN/DtOLo6J/IodtG5IAbPIg5IYBQByj62rirr/vkPRlZbd17acGM5NP8xgvUoXDnpftrGhwvLUiSgZidjEn6sECsxDIPQIBCXHpuSHNBamja/LVlBGM3GlKbW5JL04ty4cSPZHq9S2WvL4CABKfiipyRqAUk+JSd6SCVkyDEfUI7oeH21TR9dHC/KH23rf6eRofjp40NfrPuaTnmzQVtfTxyjD0SmzXKapfGD/nw8fDlqHb7F+JHjm6VYzwVkS9QKnm8ZAESuGOjksfJib9wWGTE2rBatRNs9oUBIap2AwMwzQvCXofV4307RXaPtXeDeS+5cD9IoBMJ4Hl98XwSXKnrkhhXnH0OdRlrt64FAMS/eHZ9TuO86wvxnXsn5JDY47Mxz7ix2qIblZP3sq/Som7bahdLibEMvEb5oT2vueNoGaONHg9tEZtg2kBp1levSLmSbMvRT4+hW6XNS8+Z8Q8uL/xeittp6pgjxy3yfJD/ZpRYeUyFzGYSb8H+Wl6ch+a7JYPEemX6gYcYtTliiedrMntpTt5942k5K38RpabcFuG3aJv1BxDwPk1JuaWg2gqnuAWCys2dJRRft3+aJukkQCehqT/njeG2LUKnrbCvn0ORe1qOvrm4PPt49K1F0XY++qvpNWFmu/3J+JFDO+SYrt7IQEeeWYEXLSwEUPg8mhtZEkjj1GcsaAuCLkeMNDv05wubAGLHqMj7dwXLQ97jG+53LwEA33NzIi+ca8frGCUVtwGFVSCtQfRzvF4AYs/n4m2Ht8v9pbKUIqXEyBRM96y5YPgvSeRrB13u+qVdN4BPmi59t42PLtrgOpQl+MZ38KTbptFNo+eOmzZPXzuO794rMn/2yRsP933j+PqZIl9liRdXZO7qVXnnlatyWaaile6f5vyeNwBAmMcxkk9KSe61qPK4VdL3KgBwPCMzg/30/PJogHYaTX0PtElL00+77pOx21Z/z6IPWmljp93D9c54I0AprRpLy1Tz4JsL54x2aWum6U2hAE1kxgWAOLBdjunTH7EjY6wCLQc8G4AvV2Rh/Io9zpsvZPxLgIFaDuZgJnsmA4/uJqugA/CwfSQAiPzXQmjRrQQAVvEsHzsrck2deMAUYv1csqAXAythsVhp9D8GAmcU7d8m94+WZQRmdK+CL0tcbpjDsFJ1BJR3w7bTNHAN39HfVZRUfL5+ui126tzxa+BC2voeaYE2+mm+2dc3nk85u4pZz1/zkabYMQff/LV8XJn6gJl5xynZu200n+5nAr+5msxevCanTnwmOt/t85zX7wYBCAsipoyyjowS4r9t5dQZb3k08gDEajCSjK2VY6LAO+OJNFcDFD+Q4VidjuHjMQuIpSv8tuUjjwfNax69KbxMEvBAAHHnNjlmznxwbC2s26CXguWVASBwmBbOjtDVBnWapj5XATT02QcIUvvAbe0YirwfRrgfJNCtBGCF+OEFkVO21iDjIECPpchd2jyptf9ZGHH04JflnolB2QFlm6W8oIipDF1AoBWlT7mZ35+1bEDBaTDBvr6x2VaP61PclB/u+RSyq+CpZPV1zRdkocfWvOuxNMjRc/QBBE0jbw6+Zy0NvHFdfPLVcjMgqyn1C8ty7pXn5WQ/4iO6U4jd/rK8/eKEB4AJ/WcUj/pz77u02F630zTc61nj8Z7LQ96808bW8wPNIvR98/Xxg3buPIvMW/OR8Od3/5B+UbmuklEbOPAyLBC3T8oxHTxmAh4toMC/PAXTvHjt/zjO+9fuWX12gT7qmi9n/MsXNqwcpLVrk8i920KFybxHONxfuwTwPJ+ZE3n+XAIYtPWB1JnCzEJpjJGoN/t7nPedfxDv3LdFDteaEuksC9+s3SwMXxs3S6Fakhi03bbaHWIAhC1NjfZsy355fKE96fmyJjQPpK9pc3zNU5FsE03LHb+TpyZLFj7Z+WQJfovyg/GuNeTq+VPy+pmpaKETXvPabgAAoVm0YMJcul755E0muZ9GA9fTaGbdKzbqjWvVKe+UT7fydWfa2ZoBQOzbKsfoqjAlpbFq9khoXZHSZFrYipQIovyH97SPhAYXukywe/ARszRYLwLVJg9uCe6LG/ec3jojsy7Es+8mc+aBbW5lSkoE4AFuD7RDIak/eKZPQZRT8cAje+XeTVUZzUtPbOK0TKvk01YObXBPt6s32/EJvv66D9q6tCuJG2IVXbTDdbR17/G75kO35xg+upoeXDkcI22+ml+3re9e3tjuOK48ivJTpN1AJOXFpiy+MS+v9fIcjg0GIG6dl8ytOlMAiL2TcozHV2s/sHkJKEDBYlNoAwABFwbdFNzVaTnyfA2dOsfTLh/cIXL7eAAQt+pzt97zBrj99jvJ8wZgAMsai5rpSqk8k4UndSIG4ovf6w+AOPr5ePe2LXKgYeMe8gojuUWgfAdNuXL11YHwFZNKO83TbgGTwEEFYPJ4JR9pPObVp8jq53t2XH6y5qPnlPcc5tHR/X3Frjzbu5Ysy2UprdRk6c1pea1XVTADgMhb0XC/pxLYDQAxIcda8QqWOoEELQ6sHslMCmRhoA5Eq6KfjWw3uwh7OibT5lyG8TJ/eHcCIGip6OmkArEgAUcCeCa/diKpRcLMIR6DrouasRued/zhOO8/fq4PAGIqrjy8Wx6oDMhAt2dHUAl321+LKAtU+JRzUQCR9iDmAQgXgLjKOW/8TuaT9WPpFjQV4Q9tyk2JFhqy+OKSvCJPRCrMt7ufcAAQ3ckt9OpSArBA7NmSWCBapxZaQ6auQIkXKndvABsAEL94JBmUKXH4DB8zgANTQMmWboPKgAigDACiy0UL3TqWAJ7dr59MDtnCH7KEWKeErgyWVTeneTaT38NyXRb/6Pu9BxCIfdg5LvvBS8PWIqg4NR/cSeqAw3pZYrQvknbI4D70Mb9Rlc2hgwk1TR9fHB/85vHa+t07WSNpQaIt4MaMEVvjwaSF2rmijctjC2g47pe0ueJ6GemVHneN76EiHdxDv0ywYWlyDF/btEDVpRWZfvGcvLnWCpYBQHT8aggd1iIBBlFqsKDTOPXRxngJsx7E2KDI3ztsj05utitXsv4Daj/QDExgwniKYIFYy4qFvt1IAIDgr0+KzNeS+B5THM2+bVkllWAYzzkPe+tLHYipuHT/bjkyNiBjvriDNMWjswAadWmWK+3aC4Z3VaPAl3LIsdhPj+PLnihy35cdUUTJ+vg1YKFdkKlVV8JNi+xm/d0+RfjWMsmTD+gXpekDVwAnM9fk1CvueRwdTjYAiA4FFpqvTQIEEK2H2n6AfxhWA+zUNADAAwpQsWkgARCwNhAocFfHmAdcp9WCbg0ADFiHUYEyWCDWtnahd3EJ0AKh4x7MrrJ0fTE0HTg8v9L7SpSo+7B7sxwejKRcGEDYqo5ecGF37aySyAqQbFu02mReNUrf/SK0VwERh1ejeFXFSl+FyqIVM4s/DcmYBsRkWH20HF2ZFlmHrDbu2Ai8rDdl5Qdn5XWZipY6mcsq+XbbMfQLEuhGAszCQF+didF6+diMDPNDt5/xLwEE6jnwjAu6Qehn1uWr9QmcuP7QrgAgulmv0Kc7CQBAfOudBOwy4NeNfTDgFmnKdgi4OBZqvc/C2PVUvP22QbnduAKUiV9nK7izdO+lZTagn6+tT2p5Y+ushaJAxx0nLTvCN3baGFa5ZlY1ZhvSzZIlZYR/dXvy7rum2/rWJm3eWXJz5wUrxLWmnH/tv4psvlDnz3qwQHQus9BjDRJwK1Hy5cpdGI845nXs4HDPxEAcTqwR+ONOTgdVusFqph3y8CWpQnlbOANjDSsXunYiAVog4D5j7AM+83mGS2OQ57pYkIFnuueVKKfi0t075Y7hAdmc54f3FS7yFUPyFWlqbQBSCjvhfp5rwC22lOa/N5uLlJiCtOJLaWdkaL41j1mVJvOeg6zCVu54mlaWfLqRBeejx3Dp1CNpvnxa3ujWChEARN7TEO73VAI6BgLKHy9VBDkCOPAUTgZFIq4B1gOAABSS+vihhBXGPejDs0CHoMJ3UmcAED1dxkAsRwKwgCELY1WtElWyHZY0AAhTSAoAwj7XCKL83Hd6GET5eFx9/6OCX061EwBBH3xen7wHoUjQZZZSzaOfdd+Ny1gLKHCVcbdyyZNHGqDIm2cWoMriFfwszsnFbmMhAoBYyxMa+nYsAaRx7tksxwgWcCon/ucBWgQIrNDH6HRYIAAgeFqnrgeBPjQD84wNtGMVSrzEQwxEx0sVOqxBAkzjxLONz4jXwZ8ueMZn2Bxbj6wkSY7z7uVpnHum4pFte+WAT0m7ysyncNPKMRcVjS+40lWSLq204EBXEWZZTHwKPw1A+HhMs2RoOboWgyKgwmdl6LTMtc8ClBVQmUXfPJPLsnT8m3KimxM8A4Ao+ksI7XoiAQCI3eNyDLsvvEABEPCSZbZFq/6D9Q9jdwaLwtiAyN8/kgAIFt9h+V+dDqdPBuK5A6DxvuDC6Mn6BSLFJMAsDMY46HRjAAZmIRE48Pj6+ZosfqGHx3nv/3w8sXlUbiPXJWX6b5Yk0t+zZqbbFgkIBC1fcGVWEKE7PsbU18CrO7bbpmxTVPPG0bxpGpSHSxd8aFm5c0N7jk2efced62O6OYa7Jr61co/61nLRa+OTmW9ddbtGTZrTF+XtbspcBwBR7H0QWvVIAqwDoXdfIK1PKYTCJ1DAPQAMAIh/YAtJ4ZoOSHPT49CfsRJsGwpJ9WgBA5lCEiCA0KfFAkSwBgSfXxCjdQKfkYXRy0qUh56Ktw+VZVtUSbIAqiWJak78AK5xUu69rMnGdYkGBoybJjXgMGpIHJclcsd1v5MWxsujhzY+mnkLw3l2MkdNk/1XVkQgT1dumKtuDx7TZJ7Ha57cDUCza5rV1id3LWPcb8RSujwnZ09/NprulK8AIDqVWGi/JgmwlLWuOElXA0tXAzDYH54BErRAwIXBOhFM0+QhXAQgMBGjPwEKT/z8wB6ROzaHSpRrWrzQubAEGES5VG8XiTIpyjb7iK45WtPw3OLzUr23Foi7vhDvGSzLGJQNlDSUWsnu0jkZXocCLKKU2K9pCx259DRdV2CkjzH1WKBFBZzFA/ppmm5b3tfjUNnqe+74RRbWHZtABv9CBmm8udexBp3K2l0rjlkEaGiw4ZNPpSql6RW5cvJTcr7TM6gCgCjy5IQ2PZOADqKEcseLVCt7fGc9CF7H4EjjZBClPktAAwieOYD22gKBNo8FANGzNQyE8iWgszDYuvWcN5PgSrgtdCAw3G+IgeilC+PQU/HeSklGqFAHShKtKItBqSFxtZxUmASf9Zo0m3bnjHstsADg4eywoXhwX9PLl0y7BehxLJcvlw7bot1axvTRxTXy0Qn/aKv54WfSSJML50p5+sZ2Za3XQY+pZejjHW2XrcUkrS3azC/JwhvTcqbTypQBQHT6xIT2a5IAAQRiIGgtoD/Y+Ivt/xgEgZa8xzoQFnkn8RM2gp2AQpe/1pUukc3xwdtE9m9uR8WvaRKhc5BAjgTwLH71RNKIIMEc7NZYDR50lgae/V7HQBz8Ynz7QFmGWrEBzg7e7JwBIOx1/V1bFmAhcC0NtEDkPQzaSqB3wHRvZFkNQBv3XT5dCwN58FkeSMN3j1aPInNx50GrTtr8fe01Lxxbyx/30c91h3AM3ZbtfLynzZVuFVfmjZrUX7kk78pUVM9bT30/AIhOpBXarlkCBBCwEOCFCXcDPusHEddgndDlfwEgGEQJJljfwVgrGHBpz8/QgZZoCzMyXBgBQKx5+QKBghIAgPj/3mxnYOAZNWddAEDAxWazMpDCzMyiflkghgZlsLaSJCoNWOsCp7HSkFhfw3e242ffdx+tNNG4dIqMbRSt5RXKVPOFe+53TVPz5psP54vyi9zpu3LxzUXTAm+QaVY/8q/bUd5pMnHn4eODY6bJIE0+vjH1tVf/Rk7LlyN7ekuxBz0AiGJyCq16JAECCLyl6AcmIDAvDRsgyWwMWhJGq0kQJUtTAzjwj2DCHKhlT+akeRhR7jjQ6NE9oRJlj5YwkCkgAaZxwvrFImk8A0OnGreeV/sm7rUFAjEQsEDUVNyD9sl3EvNQYNreJnqnzQbaquB2YnyCu0vuZnzf2KSjd/lU9kXHyIuhWG8ZF+U7rR1k8crLciYAiLVKMvTvqwRYyhovTmAAKH9fSWtGqeM+2gFA/PLdSb48/uB85fHI+hhv0gLQYHonAMQju0MQZV8XNhBfJQFfDIQGuOYZjpLn3/xrrWizy72Ngdj/xXjXUEmG0kzi4COqXp9FEddWByvqybF9Vhtfe7NBsHRNMGdJmj4aDDKkUke760CGpQNeivLq8q3nrWm48igyzzw+Ov15uPTSeHXXz+U1jS+fLH70AzkbAESnKxXar6sE3EqUGJyBkHyp8gwM8+Ow3I1YAMH2jGgniNDnCmjrBNqjfHA4zntdl/mWH4wAgoWj9DktfM619YHWiV4HUe75XLxt85CM+kACF2m5LvFgJfmp4TP+5fciC5mnfDm2HqcIXc2f274If+BLz1vPzb2n6bvy4FhZ89R9smh3Mm+XJ353+VmJpJkmjzSZu+sMnoMFotvVCf3WTQIoJLV3IqlEiT++RBFMhs+4rnPkmYaJOhA4jRN/eMPRwgCwQKsETcOcDAMyQfsn94YYiHVb5DCQAcUoZc1S7OZZx7Nrg4QNYLD7aoBhnjDbbPa2EiUKSZUHZKysdvGNZpI9gT9aJkqOFaJZkwjX8C/bum14nfRAS7dBX+0aIA/6uraMpNHP4gFju+O6fOG7nj++axno+3retISQr7Q+Zm2VnFx3iDu2+/MoImNfHx0jkia7tJ+iHtPw35TSWzMmCyMEUYb318aVgC5lbX7INmaBL1Nz2qYyWDJWgmmcCLiE2ZdBmKChK1MSkPBQLlgfEET5U7eLHJgIWRgb98m4uTjTZ2EwgBIzRBAln2/zLFtVjmBKi457Wsp6+1S8actO2RxZy4IB4Nba0AIR6h6voQ366Laahl6ttDZZ4+AelXUWHy6/Lg9mjMUUN4wdwwAEt/aFuqfvZ81bzwe8a5ruXLV80uSmZZ0nA/fXUWQNs35Rbn/M541pORcAxM31HrrpZsNKlDxFUxfUMUBAHeHNWg6wIMCFgToQeBkTRNAsjJcwdnZM40RhKgAJU1PCWjmQxhkKSd10j9OGnZC2QDBGB88rAC1Brz4fg8XTag1Z/NJzPTxM66l48GhDJhcHEtfE8ErbotCsSFSqS8x77v004bq0QIdtQa/IorBPWnuMoXktQtNtk8dX3v2sMSm7vDZmrZWMi86pyPy1DH3r26nMXrkqFwOA6FRqof26SoAxEHRZcHCCAnynVYIBZngZD1cTFwZTO2kORntaG/TODp9NsR77agsxEOu6zLf8YBpA+KqmQkC0otFlh39RibKnAOKTcfngY7K1MZK4LaDAllD7oZoo/agmMT/zPpQRr+Pf63a/tq97HbQ1GHH76nHYV7fx3SePbO+2IZ/u2O53FxxpGeh5+OatZaX50GN0IidXbkVk4OvjW0MCFL0Ovh+jj98TM3I5AIhb/tW1sQWgAYQ5VMieBcCXLCwMPD+AZauxa0MWxi8eSf5FG9cUjFnrFE4DRGx54BBEubGfiZuRO+3CoIuNcQ48xt4oR+uCY1Bwr9M4ReJo4vOyeUskg5RzyYKCZlUifMa/7hqwjW9t2F7TQbusPi4djt2LtXf5Me8COyfNk55nJ7ym8ajnMD8o8ehyeuZKp/MsIh89R3cNu5nfm8/J5U5P5Ax1IDpd2dB+TRIAgLhzmxxzj+tuFX+yLgxaE8zLtpGUsv6ErQPBnZsOvEQ7AAUGWOpKlAFArGnJetJZr4cOeiXw63YQKmdWewQdVCh1A2q7pd9tvzQXBunhmWSApQ4KXu7xcd4YD0d6D07IGJQKFF1pReLmgERQeGmKj+2uU/y2H66zzXAsJXw2IMLS9skN98x6WxqLkTTxOast2+u+HEfTwmfQIy09P5c+5q3b6vvo586BY7t0OG+XN7ZL60e+0+at5aPno+m6cnPBC9dDy8q3lprmme/LlQAguv3Fh37rIgECCOy48JLFi5RxEHQ30GZKiwL+ZQwEq1ayDd4+jJWAVYKZHPpcDEwsFJJal+VNHQRgD4GCKKzENFuUMx+yx7prgFGUU1YyvbosMrucWJzwXAFsbh4UQUDujfpjKWueDEs3m1EeKhND84dYnpW6LP7BMz2MgcAAj8fV2x6Q8XjJui2GEkXO7z4ZUZFGtq1uk9UP7d1sBSpSTQs08F3T0krRzRrBd7RlG9B0+7vfXUWtFXpaX9DXY3EcV0Y+WWr+3bF8/X3gifOmfNiPMvXNO239NDjIW0fU2jj9rFwNAOJGvTHCuIUkwEJSOvCRwZAaHOAlq7MtoGj+7sEkBkIfwoWASdaR0H3ADM8ZAMgIMRCFlqcvjbAOUPCXFkQuLiQgAoBhfFBkx4jIjtHulD3ovHVF5IcXRd6cSSqOjg8kFUcf2CFy50QCPG/EHwEEsys0QGq56+zpnNg2w5WHNgu1PgCIT8bl/R+SsVpVTPJ0ZC0BWXKJrWUgq61u4/tM+kVouLyk9cnji/c5T/3d5cdta0DVgEQYu8g4mkffOFnzT2ufN2+9flk8+uaWtd6VSJonr8psOEzrRrwtwpiFJcAsjBY6jpIdGXZqpvy0rciHa/jMAlEAEAii1IBBB1mCHt0gZudh00MJJMJZGIWXqKcNoUivrYhcWUpAxNxKQp7gDoBw9yaRXZs6AxGwNr02LfLCOZHT15JUXe7sQfPgFpH7tou8b2dPp1OYmI6B0O44EuDzzWeVQcTXVmTxi9/rsQVC4mjyKRkbqUultFwsS8LwNShRVnvcN7+7Dmi6AiSNtdJpydXyVITeWsZ2ZeP73nrHrUE+hR+4NTacG5XG9BNyLRznvUZBhu79lQAAxK6JJAbCLQIFMy8AAp2isLPys64DocGBL3CS1+gfD4dp9XdNs6hD0Z+5lgAIXY0RgJEHSyHDBiBi71i+xQBrOl8TefWyyMsXRE7NJnRYGWmlmbgy4L44PCnya/e2T3RdTynQAsFKlBhb1zdhphGeb3xmejKyMHp5nDfnvPP349Hhitwge8x6Sv69MZYGXRrI9Ir7Tug3lySqL8vymaloodPxQxBlpxIL7dckAVogoOTN2QDWfAuiABDYPcKPjXv6jAxkX9ACwZ0m09+YreFjDDRhRn4snMa5pnXrtjPcCm9fFZmzZ/zplEXcA7jDH1wNu0ZF9m1OBxEED69Pi7x4XuTCfBuEMHqOzwbA6bYRkX/2aDtGpts5dNNPn8apg35bO2VrIeMLuJVxVO9tJcoW71Px0IEhGZwZaVsgJhYk0t+7mSf69IpO2vi9pt9rej6+MQav+2Scd7+TtfDNpxP6aPvWkizKVGTtg8VHDwCiuKxCyx5IgEGUrNNAkgAMUPYACszQoLLBvbFBkV89mgAMmL/h/8YfC1LBnWGsFzicyO7q2B87VBSSCsd592ABOyAB+QMkwEqAf6HkYXmgksc6AkDoA9IAIPZP+N0ZWEfEPBw7K3J5MWEE4BA0kHmh//DMbBkS+ewHbhyA+A9vJUHCOsgXPLqVVHGtdbx3H7IwjFym4srkpIyUFtsAojkskf7ewdKuatorOmnj95p+r+n5+MYYvO6Tcd79TtbCN59O6V9aNACiozLW4DEAiE5WKrRdswT0cd7aFcEXLUy5rqkbigfK4JfuSl7GOl0TDPHo79YPVqV08n4/zsJwMweoCLsVUuuAgm4JWEC1hu7ersZaZBU0QVnRMQD0zs0lFggodXwHmMAf1hIAAHLDvYV6kpVxpwMiIGcT83BZ5PilhB6eAfAC4GCsVdYEge/kcc8mkd94/40FEHw2tdUM8zFzt1Up8czzOUUlyj/6fq9jIBL6SOestb09Eg9LFClAUXRN3Xa9otPt+J32Ww9+MQb58sk4734nc/LNpxP62LOdmTIFwQtVEdW8BQDRyUqFtmuWAGMgdOVJWhyoVPQLlS/ZiSGRnz/YHh5tkAaoDyfSlgselUzl12sLBOliR01rihvXAW5pIWHqogYZvAbdR5eO7uN+xncqIkpCp7OybLfmgyCH13wLqN0Kuj0+Y2eMeAIodsSh8BC0og8CZDO9mFgMYHGAvBDDQEBiMmisKwv/mqqjlSST4sCWxCIF0HFyJgEPcFsAPDD9l2CTNUFIY+dokonxd+68MTEQkCkO03ItZZQ11wpy5PNunt8+AgiZige2iwy0np3hJGWxOa92y6PFgyz1M0AapVGJ9WfzzHro45pu6z5P7j18d2mxj77Hz7zXKV94XHtBAAAgAElEQVRpY6Txl8aXVuCujEErTcGn8W/eBY4M3LZpv0ktf92G/c/PS60b9wVoBQBR9E0Y2vVEAjxMC0qCJxLizWCsCggmKydKirtSKhr4yP/O/uQ+sy30i1fTAqM0E+MzQEgvszDwoofZfHalnVmAXTXrULQyRVBK22aVQMGh2JEGEFpxsj95TwMGoKMD8zAmfsQYUytWxgQM2N0tggt1JURtSdA0wa/hy/roIfftIyK3jSWHkXWTGgkeYTVAICVBHiwPHJcZGVgzfIYsMJ+7tybZGUj9RMAk0kAxR7bH88J58Rp4B9B5eJfI+3YlcRU34g/z/MbbIqhRgc+YG0EDn1VdPA3zxR/SOHufhWElMBWX9ogMUR6NUYnK890BhlWKaFziWiOJYwU90OVn/Ot+1315T7d310vz6aNddA6kUxqXuDmbrvvc8YrSLzIv0vbNu5P1yGuLORowNCtRVlu0O/1ZWerG+hAAxI14s9ziY8ICsXdSjpmHW5mbqRQBEJieyd072kIpoA4E+7HoFL7rXTPFy5czzd+9BBCmpsGi3UlbhY6dJs/eYBErWk9cKwCLClFJox3N+rjH4kOUj3aV8EAmc3iYNd8z20QfKKYDUO3ONuGvJEJQ4boACG7YlyAD8xmpiGwZFnn/LpGjW5MaDkXdGWiH+Z2bF7m6lPANAMaDpRgwy4BX3OMBaqjrAIvF2bn2eJQrAQQBD58TWB4e3JEEUXZToKoXP1HM+esnbeyHBWMEw8y84Prr532x1j8XhpnXVDywd1zKp2cl3jueKFF85px5rRMZoP8e6xrRylkrMdA7I9LUY+KzVuS4r/kgX6Dt0jKKz47Le3pOpEMaHIv98D1t3uDJpa/bgjb7+2TI+1qG5A20tRwof82f289dG3fevrVKm7dua+bwY6nLlyPrVOxk1ZO2wQLRucxCjzVIQGdh4AXqHsutgYHesY0NJFkYGlS0dnDY3dnTNwkw9A4eyqgXMRC0PJyZawfxwaqAtx5N8TyeGUqNZnXuOAmS8J07Zu7IdRwHAw2p/Hg2COfLsViymctBwEHFrq0SaIPdugFczvrREtACNuo+q4RSrogrgDvo6Lb8lEv3MQHwurCQgAgALhaUYjon5QRgwWuggXnCYqHlget0V/BgNTwjD+5M6j8gZuZGgQfDc1MEQZQM6gWP+pkgaDCuJSWo5V4fpuUuwlRckkmVzjktkUwqFvC90z+3P7+Tlo8+rrlj63HT+NK02F6P4/KveUnjE3R0P98YrkzIn2+OaW2LyDWNf82jK18f3bR5u22fkJVurQ8BQBRZ0NCmpxKgBYJmXRA3h2pF7ZMz+eKHEmF2BmIgfvHw9YWmWNGSL213V4yXMxTyT92+tiwM8ASFBzP8u7OJMjbBcApAgAfGNbA6plHYNpUU82EMAcEF2+n5s+yzuYbDxRrJjh2fedgY+3M8LpKxKligoAEEXUJ0s6Af6FFpsz8tG+SbwAaggzv/e7cnLoK7tnaupGm9QUwEi0rBOsEgWgIqzJkxEwAQ4BPPgnZh0PKA6W6qioAvWEgAHm70ny+Nk3MD31gbgme9Bj0/jdMniE/GZfmwrF+h72kLUCY94IT3wKfvfqI449Y9l5a+l7foWXysBi+rx0vjK2883/1O+S0ikzw+0ub9tNQ7LV3tDtU52sxjNtwPEsiQAADEge1yjP54xj8wqJK7MezQaK7HCxYm848fut4CgQdYF5ziZ+02AJ21BlGCHnzxrKhoCgHZ9DvulvWx4jRXa0WMdozbYBAg3R1oz5MZ0Q738R2Boty50jpDd4lrjcFYUFLcmROc0fKhFZgLHrR1A+O7Rb7MbsO6VwDmYIGARYjzKfrQ050BSwQKTFF2tMjosuTgm4CHVhuADT47aKvBA6pObh0uykl/29ECgbWiq4Lgj98JGnX11aWaLP7xc/3JwmjPOI5kypS17kXiT38FCepnJJY9XVhG+s9Zf0fo57xB+8uCHKiOMy/0pAOA6O8jEKg7EuBZGFRuOpWNSoxWBG3mRQzERw+0K/bRXK+j2U0sgAUURuHZ3T+UE2IgEARIRdXpwoA26hmYbAKbfkcadGHgO5TBos0ySHPHmKwNFQzYUvw2JoQAAGMiJoQxDDwDhAGZxjqhAh5prTGxAfZkUgIKypQgwpQNZxlxa7HgPWNWt68VWkCo9EzVxyjJkvjNh5OMiaKxEFrmsES8ey0BZQQsmAviHTS4pEUF/LhWG7g1UMUSMQ/4f6OAB8yTlSgJeGg90m45/axSvrX6egAIuxJTcUXO3IKKudMf/41qv0fivqwP6E4JtihrAg98x94o8YRxb0EJMAaCZlu+OLlTp9JlqV+YeqEYeRono9WpWNhOP8z4VdCMD4UOhfShvWsHEG9eSXz4VJgu4OFyEhxwh0k/NxUGFJ8BQLYQEuYA1wbTQXWsBMEFzfkEQEirpFuF1gJtaaA8NU2MyaJGpKtBAwEK58GsGAIeXKcCxGmX/80H24W/On2UMS7OyDg9m1h1sFMH6DEpnjZ+xI0L0cWiIENYZw5tSc672EjgQQMI8ElrFK01LF2tZU/wua4AQlqWCP/yHZdY7l0jwAAN/oEWv2fRRZstUhIoOv6RFwIefa/ow6f74nMajax7WWN1wpuWg8sXx8ibo+6n5Yz+Wr6cD9v8BV49awcPAUAUffBCu55JwM3CoKuBwXpM4YQSxtsDL11TG6Aq8okjCRtU4Ixv4O5OK2pdjAqKsBcxEG9cSXbMHJ9uF8ZwgDcGQDLwkYCHAsRcuOMGWDImfBxDbdM9eSgULA/cdVMhteYNd4e1HaIv4xlo8kd7fdAY3SW4zoqHbKutFqxHQRkbC4gt7KUDO7kev/Oh7gEEx0AcxNuzq8tSY06muqSNM6GrhjExBIcADzhldSPEPLg/ELowaGHjsfO0nGmXkXa7IYiyX4Wk/D9iAyKg2CO5d5XCTr7jeid/bh8fTdDLoptHoxN+1qut5plz5hx9cnTlslY+NT2ffHF/iuvbG/AQAMRaFy3071gCrERJpaCDAaEUYRLXR31jALxgUVDoYzYGQj+4BArc3dHsr10EUJK9sECcmElqEfD8DtZMgJKgSwCfoTx8rhXtggBPnGcrndG6MDQggHzwBqecAEiohCh846awJ5pSYbHuAAtdUS7oYywgFuzoYlZ0iLOaI9I9mVXCWATwDVrY8X/qkbUBCNDB3N+aaR+KRfeLWyjKuHVsNgbmivkhaBKxLXBvdeNG6fjh7aADAQQsKvjTYFPHRNASxznVm32sA5HFP7IzWgoG6Z4WOOhr7M97Pno+Gu1+UGJtQIK2abT0PR8PeWvh0nX5csdOG6OTuabN3TeWKwfMB9eK8EF6ebK+Tka9Aw4k3Rm6zFu0cD9IIEcCtEBQ4TPjwIACe54F7nGHTQUHkz0ABBQHLQ10d/C7fjFrpYqXOSwQ2LGuJQYC6ZuwQKyoivHIxoCyAy+MF6Ay0DtnnS3B+g0t5WzrHmiXiC7mBNkwuNCAE2vYhYwYhEkXB2XBXboBYKq9zlzgvVachF07fid/zDSh6wVgDjEQ/+kDieulW+UNnlFgCsdxI7WTIIlAi/UhMC5jL7TZH24UBHPeuy0Jst1If5D/v3s9saRgXQH8GAgKUEdAxxfwDQcQ1wkvtqz5lA7v+SSu27vtcE9fc79revpeN4rPNzbp456PF998Oplr2tzz5s1+5CuPD9LLk3X/fxEBQPRfxmEEJQENIKhw4f+mv52BkPTVM/0Q/m64MPgSpn+cpn8qHVe5QuFAAfUCQMBXjyBK/E9FTlcF+CBvnAPdMwikM6mIcL9YWTBugRUZuUulqPShU3QE0/1h2qpfLmsMAMhoyw5jMNCebgHIg0dH05KhaxToh1Wb21sgIxZhmeif2d/9ORPgB2WpEVfCkzp17IMuDmVAps0MAX+YJw/Q2jki8sDOpLgVLBEb5Q9r9W9fb5/TosEunlW6jvCcM9gXMl6XNM5CQgoAIhFTABBZj0sAEIV+TKFRryTALAwqV+4oQZ9md4IDWhugQKAcPnYw2ckx9gHgAspQK1gdSAh/P1PnYOpeaxYGlNiVRRFYIrhb5nHUGIeAiLLSB1Bxl65TJAEi6PJAH1ogNIig60BXtwR4aJWctjEhugolg0hdAKHHBpgh2GAhJlo5GD8BPrg+3DVj3Pu3J8ej4+RMrmMnzwfGQSVPHPONbAzwTosRgyjdeBame5IfU4TKxnTA+oDiUeBro4AI1oFgHAfk41YHxVzo2qArY74mi396rN9pnJ2sVmgbJJAugQAgwtOxrhJgHQiap7n7okKki4EuDigKvHhhrv6FQ0kQIEsBEyygr06Z5C7V7LZtFsdaYyAoJCgyxEHMWJM7vsOKgHEQM8BMAShcXcOAylpXI3TjQDSoailvG0zKDA7GSxil69R9YHQ/rTHc3VKmusiVDvx0M1ZAF/JnACWUOoAS3BUoHoWU2EOTndeAYMwDDteC2wIWHc6TQZ0MnqS8CYZwnfEdtIaQb9AFiGA650YAEQQQBI7aVQdrGuucEDhz7dc/iHJdf/5hsJtMAgFA3GQLutGnowtJ0e/LzAAqXeMftpYFHvcMBfF3D9hgRXX8MQMO6crgTl6nJEI5wYWxFguElitADQ5JQgYB3BO6WJC2gPgAhN7RGwVvq1TSWsGdaEuB2sqSrpWFrhBt6mcMCIM4CTpYV4EgDXEbdKHgHotitQph2cqPDKpEP6TRoow1UiZxSmanp3JiPuAL4AFnYhCAGUuDtUBAyRp3j50cd+wEFwRCdK2QdwIKnH3x8O6NERNBFwazL8A76oNgfQEgCIL5vBJII4jyC88GC8RGf48F/hIJBAARnoR1lQCzMFi/QQdFmngFW6RJ++nx0kXg3s/embBqTPNWu1FpUvHqCorcgWPX3isLBIUFhQAAAUUIpccdsjZZu4JdFdgJ87U9nZNnP+gfJHekGEdXlnRrNegaA+ijQQv66YJSPO0SihdKDH/6EK9VgZ4YN04O0doxmrgrEIS6Z6xzywPBAywOKMYFudGyQOVvLBEicm05cQ+xCifmBB7RB3PR8QN0AWk3EE4OfXS3yP07EqvVjfpjECXGZ+aMtpjoNGM+w2Z9+nmc940SRhj3ppVAABA37dJuzImxkBS4o69d7yzxGdfx0tVFpbADRulkKhxmIOiMAe7+Wb2RMQBQ7r0GEEbhqdNEddqmljzdFFmrkZfFoBW7D5S4cQh59KiwOIcs3hiXoU9J7fTJwngIPEXQJI5Ap+WAClW7WAAU8B0HYwG0wB2BktevTydFpnT8i44h0fEFSDHFWR1I87xRNSLowiAYgswYGMznhs8M5MFj6nEa578MMRCdPmKh/Q2SQAAQN0jwt+qwBBBumWfuUlkfQZ+xgBct0jhxFgaDBQEomPWgiyFR0TEID3ThBgGAWEsaZ956dRNMmEdzo93PAyY+fm1mgQmYhAWCgabMXjEuGNuRrgq4R5AmeudEYnlCwOXxi4n1AkGX5pwQ++ZqlcFutOlAeR+cEHloV3K41o34owVCpw0zU4fPJuVpYnWsRW3h/2fvTaDlqq5r0Xmq6na6umqu+haEhOgkgQCZzhjHNhjsxF2C7Tixf0zycBI3sf3z33t5/78XvW6MvJ984pgQO46buDcPTLAxNjYYG9MYEGB6kAChXld9e/uqOn/Mffasu+5R3b5uW7vG0NCtqtPsvc6uvedea665AoAYj8cV7jlMCwQAMUzDhdOGZwECiBVzsUm7X7ngLYCQe926fF0tjBXJrp8gQTUYFBYQiNBCXsow8Clzow0ghmeNqX8WF1B6H1jBlOmatv4De09egBsLXq+CC+mSph7vg0JTvMaLB4EthxPNCIWwxJuRDoY8UwScBBHXnzO8TJGRPhmO3Ts29y5KppCavCUKt9lwHQHEP496Ma2R9i6cHyyQWCAAiDASxtQCIlHyppKrVgOkY8AdqI3n83sCCHogbN68PBACGvJOiCMh1USeP1Ip6zE10hS6GT0EFIti5opku20IReW5+az43Bm2IIBIZ1LwHNYhoSfipYM93A2JcinNk8CC2TB8kbtx4/rha1WM5DGIRGkJrDYTR9dme22Jd2ZhBAAxEsuHc8fSAgFAjKW1w70gISkVyRJp0noOpKlgUx4ZE792ZTLZalfK/y2pUGx+fi4BKl13NDgQ4XEObAE+X3oPqJ/RRsVNI/UtYSx+Ro+S9TyUu7JAxLP7gBcOJsRKvSR1bbM6GAb50wvHD0BQiVLhlr64MFaAzGXoFAIHYuBRFY6YKBYIAGKiPIkqaceim+KLl8/GJkkgWwAh0qPlE8i7oHLe8kDQXDb8oYXDkiv1Ga/xpuWVS+OskkdVkW7S9qy6SS8EORDyPrjFkgqT+SQcwRRRLvgDSVLzvL0ngadaEk8ESZmWL6NrcryQRPm+s8YvhEElSoIjjkkLIPS3xrvzxnkiSFwcw3LeFXnC4SLVbIEAIKr56Y9D39PFtGxBeuXMS8dAzeOiwQXhupU9lSdJwrR1BjgBK1tBWRgiqamY1miSKMfBlJPmlgSJzKTgwq8sGxUSYyeo37C0KdGaGMyLz5VaEk/vA57fn+hwlDwRnpCoMt+slTEer3QIQ6RPtkUAWePTAoo4HqdiWuNhpHDPSW+BACAm/SOcXB2QlLVVnlQ6Z5qdzp4pTbOpLpGythoQVonSeSRE5zclv7VQXbpkdLMwJtdTGPvWMnuCHAZ6IbgrV+yfaZZMuxyqeqRABAEEy6wzRZR8iOk1CY+CqpTM4hgsKKm0RZSFIanzXl4HX7pdITcBCQd8i+j44uM4a+unox2VblO4XrBApS0QAESlLRqu168F5IGwtR0YzuDkaUtwK2deJLtZVKJcmbirpZho/9cELWZ7ugJlyMIY34HJBZWLKTMxRCzkcydwYMbEcNJg6c1gdVSFRwggCRhInlzYOHA4ZDQtYgGEODm8n8a1iqUJJKst3UW0/+uTQYlyNJ9NuHblLBAAROVsGa40CAsIQDiPgRdiskQyTaiKD6sSIwHENWf0lI/mrk1S0Fp8JOssLQhdn5P1SKtxDqJr4ZABLKDnlC7VPhx9Cd5K17PFv/g5PRHa3Y/XQ1EIwyqT2hL2lrOjvnD8nuhC+7d+EwDEeD23cN+hWSAAiKHZKxw9QgsohGGFnrgASIKZu9J0XQiCCMoSv521MPyI1a7O7lz7AhCVroUxQhOE06vAAgIQljRqtUlkAqUai7dzsit4IKpgeEyZLgYAMWUe5eToiPVAiEDJSVbZFqobYEt7c5IVB0K7NZcG6kWitKMtlyrnUj2LoyNlPTksHlo5HhYopwMhMKGxrZAd3wtAUEgqhDDG44mFew7HAgFADMdq4ZxhW0BKlFKQtKWkpVJohYYELhgrF4lSqZo8V8RJS670+fTOxV3pct7D7ng4saoswLF555YkTdWOQ45dpTCrkFlDTUIW9qqaAUBU1UiZ3J0NAGJyP79J13qrRElSnSpDqpwxO6RwhgpqcXLlJPvW03ty/hU3VyhEKaA8X6BE3goeEzgQk26oTOoGS8patV3YGf0trxjHJQmkHOckC/uqrO1ffSJwICb1w6+ixgcAUUUPeyJ0NU2iVJtENlN2BidX7tT43v2dA65a3iP7y/OUoqlzlRoqD4YUKwlIfus0YHVzj2DPRLBFaMPUtYA8EATIlqejGh6q3UIFTn6vUuWUsg7VOKfuuJhqPQsAYqo90QneH1XjlAdBAIETLv/Wos/vuTMjc53fMRRBEqUGrNLh0t3leZykrVgPJ+crlgYAMcGHxpRqnjgQDGHIE6a0Y6v7oE5rvIZy3lNqGEz5zgQAMeUf8cTqYDkAwRa6hT8CSKzk5CsvggAGXb3kQOhz6UbY3tk0QREqCUBItrxkcZCynlgjYWq3hmP47lcT7QvL6aE3TGBZXAh50/h/Rx4hhDG1h8aU6l0AEFPqcU78zpQDELbEs9UEsKEIAgiW8ybAINCw5ZzZa3kkHLEy9sS1TOK54C4wCElN/LExlVooAEGipDRL2D9bNZQAQuNYwmedhQAgptI4mOp9CQBiqj/hCdY/kSg5YVLfQbsxggIu/CquZKV/+XdjTVIQS14Gx2z34Q2CCg3kcrU1WrsDB2KCDYMp35y+QhjkPnCclyP9ckzTA/H1pwKJcsoPkCnSwQAgpsiDnCzdWHZzfPE5c7CJ4IHu3RIB0ocvyFfgRGqrbhIUsJw3vQjSiSgpUZqOc2ImEBERU7Fn7vpIwAwkyskySiZ/O20ap8ahxM/kbeAYVjqzxm17PuhATP6nXz09CACiep71hOgpAcQZs7BJOzE1Kq0HoZCEQhrUgSCAkOy1PuekLG+FAISImJq4+fmVy0IxrQkxAKqkEQIQlgMhFVWNS2sKkX+7CyELo0qGyJToZgAQU+IxTp5OMISxtBmb2GJOmgQEtjKnVevjMeI8EEBQy0F1D1Tnwr7n8ZqknTCPr85JsPKW04MHYvKMksnfUgKI217qCVcozKYQm9QnFZJTtkYxDgBi8j/96ulBABDV86wnRE8XEUDMwiYVFrIqfWKo08VL8qN9MYRBIalS4Swvf+0UKH34w4pRCUC4+hhIzj0r6EBMiDFQDY0QgCCItZ4HAQkpp2o8qzpnVyFwIKphfEyVPgYAMVWe5CTphzwQ8hxwgrUS1i4m7HUfbPVClml+5yoTrigmHgYBCBu2UOonvRRKCZ1IQlI2ra+vx2azUawQkQ3dpI+x7yfJcBjVZlq7jeqNylxcSpQnu3o4PTrMAgqFM8SFYC2M7zwdSJRj/bzC/YZngQAghme3cNYwLaBaGAphEAQolMEJ36W5EUBkAKr0UXyHuzNKWV+3MrkpPRRpuWpdj/+r/oUAxGiEMHj/E13A8U6Ai4Rj1pOPwdCMly3Wgq5QSs73T8TRNFfDil8pRGNto/6oryLj2ZRW3UvX0mJl7crz+Z7np8WN+J2EuGj39nxyHJVA+UxcefV8cp5eloeSBjEupdaX2Fa1VLuwi1hY4rHw+gWj9+GVSGUP3Uugk23ReJEdOG5YvXXZDGBVMzB/Wg/5dpjDdsiniQPB8cEXQa00SZyNfSqyyo7LbsEDMWRThxPG0QIBQIyj8avx1uWqcdoJlYsWiWdcDESY5OJBHYirVyQTr+U/8FwtIHYBtumcnMzpgVg1uzJS1rzf0Q7gSAfAPH8VRSJw4WLJV94XR+LCYNNMLTBQ290C4xcUeWA0NlTaXAu9BU76TiBBYCy9KGlx5jX5N88jMHCZLFECeCz3xJ3vP+OiLy+RiK0CKenJQ/eRZ8j13SuD8joKUSk8ZQuhqX8WPFhPjQVdtt1y/atvOocaC3OnAUuagLXzgdNnji2IUAiDdqbdpPlAwMM+0lb6jH2Qdkm+GLIwqnFenKx9DgBisj65SdpuCUnZ3au4C6ptYRcoLr5cFBjCII9BfAeez/M48aogF1M8pS+hEAnPVS2MSgAItu1IO7CvrQc4qK6B1agQENCCbwGNAxje86LFXjFxtpXX4+LCRZVprenFM/3o5f7WvRxI8Au/Y/f71FYtrvzfCRzRW+N3+PJG8NySF8MAId7TLdxGe4OgzoEgvyDy+alEtV3QdYz4AAox8T2PdwDSt4P914JbsqFPd3RS597DI6DGPvDvrmIPWNE15d04by5w2dLEI6Gw2Gj/fCwHgvdUuW5fcbMErNLZRvRAfOs3IYQx2s8nXL8yFggAojJ2DFcZpAXEgUinbaa9BxqY2jETHFx7Rg8HQrcTwOB7Lrpa6OSG147vzaeNnETJBY8u6T0nk7AFX7YmhxY8ufe1KNsdptqn3bp1+Vvip2u/965o4dYuXX3Xe4IMtk0hDd1fC6ldsMX+lwaHdDX4PKznQQstr62Xnpm8KMyMcQCNYQ6TASMAIhDB89yuG0koSnbiZ/zHV3phV58tiKC3RC8uyFIdtUPP2dCAEv5NEbJ1C4ANixKPxFhwI8SBUNiGbZRMu9prn71CMxSSChyIQU4m4bBxt0AAEOP+CKqrAWkPhN0dS5lSCw8BgaSoGYOnlLUWXu3orQKl4srSmOAErQVopGmcvC/DFvvbgP2tyTPjIq9FrbRoU2nQp486TkSiLljibKS5CQpDiA+hHbx2z/JQCFDweC3q8gYIPGhBkjdDi5f1UKhEuuVTCNSU2uL7xs/VF8vr0H3INeC9FQ5JcyGsYBJDOrQVn6PCDvJAWD4Fr8nr02Z89uLA6FppAKGwTSm8YgCPBXJzGoB184ErlyeAwi7eo/ELFICwOhAau5ZArHbIixUhZGGMxvMI1xwdCwQAMTp2DVftwwLlOBAixEmFUhMtFwVOtpxkuXMlj8Hu3N1CaYSknHqld/vzWnZHzvDHSEIYvBc9DwdM6EJtse0QCLILnnbK2lXLNOq3dvYCO3LLu4Xd2FFgwoYq+DXvmSYo2sVTHgBVO1XISGCktNAbL4IDD+m4iw9j2HCHuA0KlViPEL9T+MWBOR9u0LXT/bBeB2urcqRKR6T1AFFpv/I+CHzJdGwHAdji6cAfrAEIJsYCQHz/ZYAy6gJWafDINsheslMcBwARJs/JY4EAICbPs5oSLVUtDMXo09kUljhpY//kQBBA6KV4vibldG0BhT4EJN62YuQAYteJhP8g3gUXMO3e7Q7YZjZoMZNXRCRQ9k1y3XJtu52576A8G+qngInCEeo3r6NduGxjF3i1j3bQj53tl52VVcH7WjAmLgnPI3gTUZPv5dmxA1KLJL8XIVALeho8CPTYZ6i/FdJwBEPPxyhlgniPlLuuASfWFrSzbF7yVvnj6X359AZgUVOPZ2W0flSWA5EOV8lW6p/GOZ9tSOMcrScSrjsaFggAYjSsGq7ZpwWUxlkKL/iYNRddLcIiSmpR4QRL1/a1K3ti5XZXL/ev3PPWhc/Fh4vN20aoRMlrvn40ybxQuEE7dPXFeslt+2cAACAASURBVB0EIqwnQKEEHa/+Wg+MwhPlOAEKI2jBoZHtgquFlZ9r0eLfSnu1u10RFdk+8jmULWEBmrgOBDPiHCgcYz0NAh7qj0BECfx40CEPkfVauJLWPlQiu8qjwLZZoCmPVNru6qvCLeK/2M8Fsv7y0oRMqWNH66fKZ3Triz1gijYR+OM9BR6VsSIbtnYHEuVoPZNw3cpbIACIyts0XLEfCxBAnDYHm7Rr5ASq0AUXTS5MWkR5jCZdpXHyf+dd8Dtvm80gEMLvbUYGrzdSISle87UjwOH2nowB7fTFJ9B7232FFixfwWVZUOPCE+usO51eCPEFLAjRYsgFPO1xsHLe1qNjF0ndQ/Zlmx3HJJOAEHus5SQIgGiRF2CxfbSTCNtp28d+i/NgS1frOjYF1dnKe0IENniuwhXSUZD3hm2w/bV8EbVbx7DfY+2BsACC7bReH3mGFP6SPYMORJg+J5MFAoCYTE9rCrRVHAgBA8W37Y6YKYb8XAscv+MOmMW0+JndXadDGQpZaIFWKGOkxbR4nZ3HgX2eQGn5FTYeb3f/2vnrMy7aEmGiR4ULKturz9JhkPTjVlihpKdAEiezNci8yycgQLtv56FJlY5WKqHsy6wILep29249JQJr8m6kwUJpl58S90rbwXo27PX5uWqhsA+8nvQR5KlwO3avk6GQC58vX8q4sLbqBSo8b4PXJPfho+cD86aNDQeCtTDE5VBmikJYeuYaz/o+pHFOgUmuiroQAEQVPeyJ0FWlcXI3Vkrv80RI5ctzgZO2Az/jjpj/X7KkRz3R7ua4EJIjod2vJecpzjxSISleu8WTKB2z3hizFI7x2g4CR1o85EnQztzF6L1iptVNsCEAHpsWl5IXIK2nIB5EyfVvCJBcqORtcF4ZJBoQ8twoHq+2yiPhQj9G30FgSMQ/dt+SMcV3cJkpUo/0RuJ30vhQ+EVCW/JEyUNi2yOPhDQfXEaGV8K0ACLNMVBKqcYD2zmjDjhtJvCe1cCs+rEBEPRA8EXgRqBIm2rcyg5Wrp3HEkCENM6JMFOFNgzGAgFADMZK4ZiKWSCdhWEzL+TO1UIr7wInWQIEAgi3wCiF0oMQHqednE1PtHHmNy0fmQ4E70tGPUMY9EJYN73lGNi0UoEE64kQSLDZCSXhJn+yFmMHNPyiaTMwFNrhQxF4sB4Efs5r0G4EOxJnstoaWlwJMCxnQGEVAQjrSbBttl4VBxB8QTMBAWVgaAHVIi+iqGxSyrQxI8x5Tnw4w4FKL6Fthaf4vAlC5HUh2KKYlAt5eHCjMAjvvbQJWL8QuGBBwqexYaOKDW5zIXEg+BHBDtvJ8WPtaUN0bDefNatxBiGp0Xgi4ZqjYYEAIEbDquGafVpAJEqRIOUt4O7Y78BKbnmR8bhYsBonAYSAgnbxPEdpjNJdsDfnIsLrVEJIiosOd++7TwBHO5NFKE2cdAuzz0SwWQ0CQ2xbOQ0GtdmGZxQ+4GKeXnj4nWxnr6dztHDzGGVO8G+2lwsa7c1FTdfm8em+iETJz212hTwPaoMVkVKYRhkqBHvcgQsA2ZCT9RTx/pZfIUBUm0s8MWwnwRBf5MHwuQrksD9SqHQcEu/5cOAkA8yuT4AD//FveT1G82eqLAwHbo22hSXA8v7W68T3QQdiNJ9KuHalLRAARKUtGq7XrwXSaZxaUBRq4CKiQlqKlfOCVD0kB4Lf2fRH7da5YHGR4sJIkOF2q6aU8khJlOoU78dMjINtfgHz6YTaSbMN4nWka1XYhV7kSq51XCDTKpP2flYsSTF0SzTtRcI0QlbyLMgbIE+HAxeeO2HrYghECIilC4PZ8+Xh4Dl6huJJiODqrmMyQngvtt8t+CwsRoEtnwrr+B1eBEr3t9eV7cSVEZhz5EQPPkt6Fr4cPMcBQxdr5iUiUuQ+jNWL7aIOhAifCtfx/lL/FCjkJCwQXIhDCGOsnlG4z8gtEADEyG0YrjAECxBArJqPTdqlazcr9zQXFC5uSskUiGAI46rlCXgQc196DG7n5keyI1xmegpG8TseXykAoQWTqY8nfSEt/q1FXounjtP/NsYvjoCIju4Yb0O7aCuEod273pfT0NDiL8+OwkHWo8FjrJKlFjIRMNN8BNt2aUqJ76HFz13TN147/3Q1Ug0PpYoyhMBwg1QaZRtlqvD4UtaKD0nIQ6U2qqaE+qnjxfeY35jIVq+YBZwxKyFQjuWLtrhjc2+Spzw6Csmo7cqMoX06Cmi/7dlQC2Msn1W41/AtEADE8G0XzhyGBdI6EHLhSg5Zi4ckrrUg0gNBAGFf2vFyB6/CTop/K8avRa2SAIJtEPdA5Djt8rVI2AXWgaBiAnLUXwsw0imU4geIUKg+2x259c5YmyhMUS6co5CDE3oyJ0nRMf04y4UdLIDQ8X0pVirEY9NC1ScLnnQdZWNY2wmYyWMiu8kj4RZhU2SLtuRYoOeBoIFeB4a/xiJskX4O9ECIOCmAIyCWDmUIRLXn0X7rMwFADGNqCaeMgwUCgBgHo1fzLZWFkeYHSL1Qn2sB1MJMNUSGMLjwccHTgmAJlZyE5TJOeyl+6/SRkSjLPTO7KKW1E0b6jNPVJkd6PXv+WC+mI2m7FeKy1ymnVZE+VmGt0SZMlusfx+F3XkjCWQQ/TjDLK2Jab5TOFbAKSpQjGS3h3LG2QAAQY23xKr+fsjCsu1yqhvyMk61i99rt0l3NOPcblyXfu52xtyPd4RzEloCX3rnzO9bCOKu5p1R1lT+G0P1RtoAAhPVA8Ja2UqgFchrrnYXggRjlRxMuX0ELBABRQWOGSw1sAZvGaY9OEw75ndLwGCYgcGAlRe7k5PInqHDpfEWgjemIXoGSk7HSClXq+uoVAUAM/HTCEZWygLIwmLVDz4jNMuI9xE0pET/9jfPFACAq9QzCdUbfAgFAjL6Nwx2MBRbdFF+8dBY2KZNCE2mp7gKllfPJpEvvAl/8jhPwFT4LQ1UdCSAsYdIx/D0jXzFnST9fc0YAEGEgjp0FCCDu3NJTyt3KcAtA8H+FMySD3lVE+/eeDhyIsXtS4U4jsUAAECOxXjh3yBYggFgwA5skEFTaiZl0QKUoatfGm5AYd9mSJLwhfoMmXR5H0EFgYePNytJgCIOFuEIIY8iPK5wwTAsoC4NjWURepWpyDGv8C0wIQLflA4AYpsnDaeNggQAgxsHo1XxLAQjVuXBMfW8QDUZNpso6oDdBAELS1tZzQcKhdBQkpSyWv6voGAcORDWPufHoO8ff917skQxPi3QpG8fqoHiZ8SBlPR4PLNxzWBYIAGJYZgsnDdcCCmGIMGkZ8uW0BuTmZTiDREi9FL6gd8GVRDZaEBZcEHDwHpVO4xxu/8N51WEBAohvPd+Tvqs6JSJLpvU5pHsSynlXx/iYKr0MAGKqPMlJ0g+RKJW2aYsJydXLrogjoTAEhaTIY3Bpnb72hfgOJKrxpewN1RUouYeLwGikcU4Sk4dmjoMFlIWhsajMIKujISEvpR7zmI58qIUxDo8r3HKYFggAYpiGC6cNzwLSgZDnocRnMIQyXtlWLaRngiEMeiA42TKuTLAgAGHz6iXa5DwXvokEHW9bAZwzJ6RxDu+phbOGagHrgUinJQsgS5Zc4l/8PChRDtXS4fjxtEAAEONp/Sq8NwHEaXOwyS764jxIREo1E6RMyPf0QDAMwZd2bFbhUTn1tg4Dj5WaIr0XAUBU4YAbpy5bDwSbIBVSeSDoYeOYJRi2qZzt3Wi/4/mQhTFOjy3cdogWCABiiAYLh4/MApKytldR8SnVuSBgSBMqKU0sAMFzBRjsBKzS1yrxbEFF8ECM7LmFs4dmAQKIW19M9EkIGlTfhVfRmCVA5ktESl/yOwCIoZk6HD2OFggAYhyNX423tkqUmkBVblrAwIIH1QxQLQwVorJKlqoSKZcwr2NTPcmZCEJS1Tjaxq/PysJQerFEztgi+5mtjcJzWAsjFNMav+cW7jw0CwQAMTR7haNHaAECiMWzsYkAQINPipMqca1sDO3OOLEyC4NeBAEIW4DKNslWtRRAoZhUEJIa4YMLpw/JAgIQlLLmS9lA1nvmxju9aT7E4UMaIY1zSJYOB4+nBQKAGE/rV+G9BSCs61ZljVVhUi5dgQx6GDgBv3VF8r/Olfy1Cmrxc2VpyEPBnR89HCGEUYWDbRy7bGthKGVZ45P/S7dEAEJN7Y6DkNQ4PrZw6yFaIACIIRosHD4yC9gsDBHKpCipK9siQ/I4EDiwmJYyL9KVF6kLIWAhxT9XE8MX3woeiJE9t3D20Cxgq3HKwyB5dadbwjLkfva1dTFCFsbQ7ByOHl8LBAAxvvavurvbLAx6EJxipCeZWV6D/ZtGYgiD5byVEueKZflYh3UD81gBCP5NYEEgETgQVTfUxrXDaQ6ELc9uM5Bs+IKfh2qc4/rYws2HaIEAIIZosHD4yCwgD4SuwgFIHMD/tRNjVoYyMvQ3SZQEEHq54kTFxBXMl0p8W1lrAgsBjSAkNbLnFs4emgWkA8Hxa1VXBXpJ7NUrxzL22eS4ICQ1NDuHo8fXAgFAjK/9q+7ulgPBzsuNK0PQe8CdmKuVkU34C3w11iQhDE7AnHw56brz/dbOch9sBgaP4TVDCKPqhtq4dpgA4hvP9YieSePE1X6JE/KklXEXyGA572/9JuhAjOvDCzcftAUCgBi0qcKBlbBAuRCGlfklECBwoPIkP6cUMHdxFJKiEiUnXaV9lsp5eza7PBLK0HBxZl8enNU4z5ubXCu8ggVG2wKWA8F7EefaDCHdn2BYYmcczwQQtz4TAMRoP59w/cpYIACIytgxXGWQFkh7IHiaVZRk6MJKVBMAEDAwZCEhKXkp3MTsQYKdoHk9Ag+3q/OlvkcDQFiy5yC7X5HDFLapyMUqdBHF+Ct0uRFfhot1iSNj84JHfOXBXcByIKRCKcE0B5j9ZfQspWXSmQ9KlIOzcDhqIlggAIiJ8BSqqA0EEAtnYRO7bAtmSTBKaZqa8/me39XlkhCGgELJFUwCJuPHKRtyASGIkBw2QxiV9EAog0TFvmxZcoGivgCGXNdKV9XxNn3VfiagpM/4vy0PbbueBhfp49Kuc11b9tT5tlrkKdfwDyfdPz4n26dyw9raSaEm68ovdw5vl7aVjrNt0DGc1DheSLwld0Zjaix/ZuWyMCxPR21JS1wHEuVYPqVwr5FaIACIkVownD8kC0iJkicpnU2LlRYALSgCGDyWCwJJlFoMpAFhF1WlxtkYs+NGFIF3rKosgGAF0JNdwNHO5H+KVdn297WQagHVYiswYLkf4nUQAJVUNj1Csp+p70qDpW242KqqqU0PlE15PYE1a2del+507Y6lU8DPrGiXtDp4b4kjqU9UWBQ/pdczNERXCiup/HptLhk6vDf7wH7LDuS4pNtgq63KvvpMBakcfyYHzK4HzpgFrG4GTpuZhMDG8sX2fP3ZxB58WXl1m5HhAJwpRR8AxFg+pXCvkVogAIiRWjCcPyQLiANBAMAFR1U1uXDIY6DFQQBCoYhLFifhjfTCwuN5LMsju8nauKz5He9TSQBBwLC/DWjtBrryCa9CBb7SHgC7+Kpd8l5I40KggOeyf+wv2+wWl8gv7P5v2knqhi7DxOzOeS7bwnMV2rGeGlucjOfaRZ7nsR0+Du8WcnkebM0GATK2Te3XdWxb1EcNDnkKdL4VUFK4gf2nPdPiSnwv0ENgIS9KGnAKjNDO5NDMqgNYQ+X8BcDaecnfA3k7hjSY+zm4HIDQOKU91Q7rQaFtKGX9gxcCB6JSzyFcZ3QtEADE6No3XD1lgbQSpcp2cwHTLk0LpxXa4cK2YVGywFkvBBc9vjgpl8IfBkC4RckrUVYihMHFe/cJ4FB7cl8uaF1ix/mdpl281T63uHkBIbt4uB29cf1rASdI4QLNnTNt43boUQKOpJ2hFFh5HAggeA8BCNlRj0DAS14Nnq9aDJZXwuvRo8LPeAyBmYCRBRBprQ7dh+Znvy2IoIloKwl7OQ+MCcWUuAC+rzKpbKXFV14PtZdtEEhzxdR4vveOyObLZwBXLAXOmTt2ngilcdKONtWY/ddztONd46CriPY7QzXOMG9OEgsEADFJHtRUaaYARMkFbXbR6mNpp+Z3yVwQuKMkgJA3QvoOdqFJu715PacXEScZHGc194QEhmpP3pfg4VgH0NKa/K2QCa8vbob1HNh7aIcvoMM+EdgoA6W0w/akUS48/I6LN8ED72cFtxQCIQCw4Mt6HEqLrhfTYtusF8RyUNRWt/B7IMTz1S6BBXkxlM1SSplNpSW69hZ70mxLpFbvv9f1LBAoyTszzVGuf/8339fSy5RLrqv7K1PHAhCb1aPrrGpOQmBnz0m8PKPtibC1MNxzkCfJe5n4vYAcbS9bMQsjFNMa6q8zHD9eFggAYrwsX6X3VQjD7nhtRUKaReBCg5PHctLnApCuxmkXHZEp3S7cZ27wMy5ezMIYKYA40AYc6UgWc17TLsZ6nC7k4N3/IsjxWJ3D+LzdRWsRtwupPAe6DhdtAgpew+oJ8F6lMIj3Yqgd8mrwXEko8xq8pvMo+APT99XCLG+OQku6Lu0pQCOAomdmPR6u4qQnuCpN0XpeBCBK3hTfIPEhaDsBAX5GLw/7IY+VPlOYpRTW8sepTQ5QAWiqTTwQ71g5NqEM9ovlvB03xmQasU/qm9rotE28dyp4IKp0Ypyk3Q4AYpI+uMnabAKIFXOxye7ABCCkRsmF2S42PJaMemZh8MWdO89Jhwq04PAYTchWB4Jx8OHqQPDarx8FDrYlbRDhUIqY4iUQIChsIRltcRxKu3i/OMqLIdAh7wEXGC7yzkael8B7cjFi36XcKbs597ffsdtS6FzE3aLrryVRLvEf0lwRXceKe9m6IhpzOk5AT54Y+73dXYsgye9lp7QugjxJWkx5rK3SyvPUX4VseIyO17ECKxbQqZ0kVn70fGBB49h4IL71fA8pVG1Vuyzw5WcK7bAWxpiHMDbGmZXzsOTsObh0USPOQ4TCtmN4fMsOPL7jr6Ijk3WuCe0efQsEADH6Ng53MBaQlHU6hU8LjjQg9N7t2FgLg0qUXsraLk7azVkegSWpcUEhaLhuZUKkGwmA2HIY2N/as4O0IQy3k/a7SHZX3gd9zs8EKBSzt6EHuzgKNCguLpljXovZH+w/7UeQwWPkRUgXZyoBBk/aS/MxtEgrVKFsDrZFAl7aMYvTIHqJ+Beur36x57G8pwCgPB/sJ8MPtIn4HNp9p8EHPxfPw7ZPz9z11/MrVECN7530uZc3t+DTLtT8/tMbgIXTxwZAfO3ZHrl1hTBkY0sqlafGVY4tjnE1zo1xZlUzFp87H1ddtBjXnzkHb4iLyL90CPc8+Dq++cAJPI5PRZ1hEgsWKGeBACDCuBhTC4gDQaDg0vZ8qqLdtfM7ubbd7ixKyG+XLe3hGqTJfErns1kPWqR4rZFmYXDCJ4BgGIOLoUCKAAk/k/aEAIQlGbpwg4+DWy6CdtMEAyLXOS+DYv+GfMiFRqEMej5EbtSCyvc2BKGUTbco+5i7W6w8L6TEM/CERtna8QqYEdCdpESy3QoLacIoLYC+nQqtSBfDAia1r+ShMCNO5FBez3o21DZbqVXpuTZExPOkQCrgox09/xcnRR6KT20AljT1Tk0djR8A20gpaxFn6XGR6qTap+dtx35URMe3nsFZWz8d7RiNdvW65sa4du0inHXhQly3dj7evWImLphWi2kEZie7sPfpfbjnV9vwrS0H8etdn408bXjUWxVuMIksEADEJHpYU6GpBBBnzMMmLRh2p6sQhHWxa6EiifKihT0xf4ED7VJtTF2LlxZhTubkQIzUA/HaEeBge7LQKaNAYQc9Gy4SNjOEn1tSn/MgeIEr8RcEIvRedT1sfF8EUXESbPjAni+vhlJalY4pT4WzjQcQOk8Lt9UjUM2RUxZwVUA1/8s7IB0K9b9XoTMPNGyYyXk+fBaKrWliPQjpsIrapXRO3ov9UKhG48KOL3E1CEL/9MKxC2F878Uk1de+bDhHbeVnCstF0RhJWX8+rrukAesvWoLfW7sA75jXgFUNtXBqGbQtgePxTux/qgV3E0S8vBWP7tkY+QDeVJiJQh8qYYEAICphxXCNQVvAAgjtirkAcPGRy1sXU4xeHIgNi3uTCF32g2e1l3a3RiVRXgwuIO9cNXIAsedk4oEgCOA15YlgP0jyUzye7SIIshwFhQLKAQjrCdBxaQ9EKfXSlzEXF4L9tl4BS+yUl8YSLQVo0ou0dvXaHfN/ARkbHtLCLPDhPAAeNAm0KIOE99DizetpobeZHNbTZImbAjoCPhYQSDuE92W6K7/juVaDQ/YTsOSuek4D8IdrgHnTxiaEIQ6EBbvpEIa4IAJCdPyMOgfiprhhwyysv3Qxfv/8BXjngkacHkXJMHIhQS/cRtsdbsfep1rwIxfO2I7HsDHqGvSPPRw45S0QAMSUf8QTq4PKwhBxUCDAahJo16lFiosnSZRXLutNpNMiKFe+XWTs9WmB3zlzZEqUvN7RjkT/gZkYlqOhdiq90MXjjVCTFnWFZmwGig1zaHHRQszrqo+9Mii8275XCmTqMRNHMQTBF3eTfClzRNdVNoY4C1qs03oa9BLYUIDAgPQW2Ad6PvgMJRBmQxIlvotXXeRi7kWTXLsUmtBx6lcaoKn9bB+9CTxOehlKdxVIUV94Td6vuR44szlJ5x0LQSm24yvPJHZX6CrN09GzV3jDA9FRBRCLN8bTTl+OSy9Zhg+cvwDvaq7HQg0dFwa09WU8MDvajj2bWnDX/a/jXx7ahmewMfIyZxNrbgmtGXsLBAAx9jav6jsSQKyaj00KXWiHqhi6zVzQwstjGcJgFgYXQ+2sRaLje6VwKoRgd/+V4kBwkTzSDtAT4WLbPq6tPoijkBY70q7f7t4dJ8JrIliipVz5pQU4pRfgPAR+1y/Col14rYtcYQ7bHnFO3MLGXbsXuFJ/lHLoQg1+pOozm45pQZG4LPImWLKmLb2unbgFF9rxWhAjXQ3xWtgPhWYEqAgo2S6CJAIZAghxIKwmhFQpz50LvGFxIm8t8ulo/hBpC5Io9QwEHqwN9Df/5/gl0GAWxqjpQGyMay9bjssuXYr/Y808vH1eIxbLnhoP+h06r44XbeNz2HcSux7Yhq8/sA3fevJj2AxE41CibDSfWLj2cCwQAMRwrBbOGbYFlt0cX3xWMzZx8WN8WAueLaJld++cyLi48ftLl/TIVbMB5RT+eD0eL/a9dsuVqMapXW3LSeB4VwJk5ObnfdLARjtmSzBUZoTAQzokoDCOPufxLsTj9Re0w5bqYols6EMEyuBwoQWfG1mSp/YpoLKJPCVO/jpV5lwAwgIKPXS52y23Iy3TXfIs+BoXvTgJ/kKl9vmUXIllyWuga7CvCndp0eViy5cqXNr6IcrIED+FtTA4ds6ak3iyxuJlPRD2WaS5HgrzuFBcbhTLeW+MMxcuwZoLF+FPLliI313QiMXpImN6nrK/woq+/fGuE3j+/m348v2v4buvfio6MBZ2DPeY2BYIAGJiP58p1zp5IOTu1+5dO2Ep8nHSEo9Ai6Y4EFp8ZRyXMukFeviZJQ5qkRkpB8I+CPIYGMYgAOLfAhE2vVC7Ye1AteDb0AevqYVVQMCFb/zC78IwFEIyBETZQgup/rfeGgErgg+rrVHiIHhQxusrHZPHqm1anB3Q8Pe3tpaHwaZppj0fWvwF9Kw+g64p3gXVJRmuIIAgIOD9VWjLkjgFyOyuWSDBggz2a3oNMLsh4T2smZeAh8aa0ec+yE7WA2FDGG5nzwqzZv8u7wTtWYhHxwOx7OZ48YbF+P3Ll+DfLWrE6tocIvub0Vh0wmPe+6DfoL4rFNH10kH88kev4Oa7XsZ92Bh1TLkJKnRoSBYIAGJI5goHj9QC4kDwOnJbp9PZpO1gd0iqhSFCYMk9712/biE1in+a9DiRkz9ADsS6+cPXgUj3mwsd4+/HOhM3uov9m4JUDrh4NUalEGrhVdEpqyop7QMttJKtZr95HS6udL3zn1twPJ/A2lG7WX0mIJImKkq0SIBBHp9SzQ3vEeB5AmMCKpYYacmQAn7u3t4DZBaekrCXlEGtloeAIq/NftIGBBBWbMoBQ6MxUVrwfDhHz8cB0giY3wismg1QwnrR9LEFDw54papxKtOC39naImo3beZ2+qMAIBb8bdy4biHedelSfOzMZlzeWJdkW+g3pOwbeaQUGrS6IKqJcrILRx7djTvu2oKbH9+J57AxMpVgRjo7hPMnmwUCgJhsT2ySt1dKlAoHcKK1fID0gNQOnZPb+oWJpLUmP7mq7e5WxDRN4m7hKY48C6Oc2UX2TO+I1Waek06DtKGVdNaAXQS1QNqF2/ZtoGFg2+Ta4U+w9i0nCqVFRfdN30fXtW1J36svW/V3jr4b6FpKbeU9rP3S9+TYIG9GbviB7FXp7zmuv/x0skgLsCl8ZUM/VgyLnxNDVZQDsTHOnb8Aa994Ov5i/UK8r6kOTXZsWS+DgC69QXrRxpIP19jYfRwv3rsVt/xyN25/7c+i/ZW2Xbje5LFAABCT51lNiZbact4qJsWOKSyhXbkAgLwUjF1ftKh3IaS0joIMpCwGTnicyHmfd60eWRpnX8YfyqI+JR7gJOvEQIBktLojACH+isCkPDgu9OI1OURCdWM+rmwa54rPxQsuXIwPXrYcf760CastABRJVSRcAQh6cDSuVT1U7/l/RwGtL+7Dz36wBZ+/74d4ELdFKQbNaFk1XHeiWSAAiIn2RKZ4e6REqfi32yVmk0VeMXqFLiyrn2l7LKZld/eOI0D9Ba+FoJ2d3WHRLc8Qw3vPqmwIY4o/ptC9EVpAHAiGXRzXxMy0CsXY1OVRqYWxMc5dvhSXX3E6PnvOXLy9Pod6dct5HlRPRpwH/6X9Hal6bCnc4Y892Iqdd7+CzUxyJwAAIABJREFUW+7fjG+89Bm0hKyMEQ6YSXp6ABCT9MFN1marFoa0ExiSUJxfmhD0IHjmt+smyYr8jDoQfIkfwL+1o7O7OcWTZaNK1MKYrPYO7R4fC1gA4TwLvgqq/hZ5WDt7EYErmca58pZ42fqFeP+li/Fni5uw0oIHARqROvk7TINzVXJNy5c7HY8Cup9owQ9//Aq++NNDeDDUyxifcTbedw0AYryfQJXdnwBiWTM22W5bDwI/t3UtyF+gd4IA4gpfzlvgQ+ENTYICFPJAOHlj1tsoAm9bMTIhqSp7TKG7I7SASJQuVdlfy1Y5tWRgjVdxIG59BmePvBZGHG34Mq68dAluPHsufmdmPWbod2ZJklL1lIiU2sL/eZzazHNFdlUdmN3H8Py92/Cv97yOb2/7eNQyQpOF0yehBQKAmIQPbTI32QIITkoiUdqUwnTqIfvLEMYli3uLL0lciBMdORK8lnW1ajLk59ecMTociMn8LELbR88C8kAwU0fjUONaIQKF6JRKy/9ZC+P7z1UAQGyM668+E9dfvAgfWzoDb6jPoUZkZXGESEgVSFCbrJCU5T+ks56Yhnq8A/ufbMGd//Yy/unxP8azIYwxeuNpol45AIiJ+mSmaLtEolQWhly57K54EXbnw88JNAggKAZk9QaUPimWuHZN/F+Ki9JVGC0S5RR9TKFbI7SASJT0QFhOgR2rvIUlVTpOT4VIlKf9fbzo4iW44aIl+KPZ9VjF+yokoRCh9TYw8UJ8B2U38XubYus8fQx1eH2Qrm50Pn8I9//wZfzDPYfwyxDGGOGgmYSnBwAxCR/aZG6yTeN0ugnFZJLipCbdAb6nR8Er8zmxJsZo37S8PBktzSInyJBCISc9golK60BM5mcQ2j76FuBYZi0M1RCxaaoKBwhYWOntrgLaf/jiCD0Q18fZNdfgvMsW4RPnzsPvNtagWeBaaZsq005PgkB8CWR4VcxeGRtGXErWyxdR3HoYj1NY6r5XcdfB/xCdGH3LhjtMJAsEADGRnkYVtCXtgZDoULpyJQEDd0ScgFVMix4ISTorRbNcBga/kzQzJ0VyKAKAqILBNYG6qBCGAIR2+yoUluYWaFy3dVcAQHwyrrt4HS5743J8+px5uK42i1ob2iOIYPaTFDLVNnlHJGUtIjPP5fEEHZZoyfO3HsEzP96KLz6yGbdv+cvo4AR6BKEpY2CBACDGwMjhFj0WEAdCBEhNXnZishLWnHAJLppqgQsWnCr9nBZI0q5OHgiey0n83atDGmcYh2NngTSJUvwHtUApyFLkpMw2PREEED94YWQeCFbcPGMF3nLFMnx6dTN+K5dBxgqEiXQssrKUKK3Wg7wRUjMleCCI4Euf8f3u43j5ntfwlV9sxrdf+ky0d+wsHO40ESwQAMREeApV1AYBCMk5l9LYPNdBWhCSt3ZKfgxp1ADrF/RoPtBkaUloK41tTRo8EFU0wCZIVzmOv/EccLg9CRFwAbahNnnQ1Fx54DryI/dAULr6vEW45ool+Ivls3Cl04Xy4lCWLFkCEL7yajq1U23i5/QIpr2EDDvuOYHN97yCr9y3Fd/e/MlozwQxf2jGGFkgAIgxMnS4TWIBCyD4Xjsz1VVgLQSlX6o+BN+TRHnRwp4sC5eL7ms1SJBHhDR5MwRO6I347VXBAxHG4NhZwGZhaMev8WlbYTMyCIjbu9B+z5aReSAIIM5ehGsuX4y/WD4TV2YjZHqBBV+ozpaOFzfC/U+BKd9IESptCqf9fe04jqfv2oIv/HoL7gghjLEbXxPlTgFATJQnUSXtkBKldmPWbcpJ11VjJGM8qQtQ0oCgi/fChT1GEoCQEqWVwJZ7WG7b0SimVSWPK3RzmBZQFgbHs9V/kIQ1LyuSIsMFLluIpejzaP/x5pEBCGyM6y9bjrddsRyfOWM23lyXRUZARenSkq1mO8qmcEZJwTbyHJS9kdaB4LnbjuKpH7+KW361FXds+0x0dJjmCqdNUgsEADFJH9xkbbaUKG1OPPsiICBdCE26ihFP9xwIAQvbf15LKpYWSGjHJwBBDoXIlZPVfqHdk8MCHMdf+k1SXZQvedU01l12kNctsVVnmYXxo5dGBiDmbYynn7MS77hiCT51+ixcVusBhMCCSJKypAMQxqwl+eoUgNBvVuCD57WcwNZfbMfXf/o6/vXFj0U7JsfTCa2slAUCgKiUJcN1BmUBm4WhRZ8nSkyHi74IXEzHZB49j5tRC2xYnAANvmw+vXZvSgcl50HZGZzsmAYasjAG9XjCQRWyAMfpF59KSsnzRb4AeRAc0+L5SEiK3wswVyKN86yb4xUXLMEfXbQQH25uwAqFKqx8tn5jFjyoLjfbImlr57GIevgPChcqLMPCWs/twy/u2oLP/3gLHsDGyEtnVciQ4TIT2gIBQEzoxzP1GicPhHZi2hUplMFJVSWYBQz4GTkQDGEo7ZM6ETxH2RZWQU96EprkRquc99R7OqFHlbKABRDa0Ys7YFMqNcb1WfdIPRA3xQ2XzcJbL1uGT5wxE1c11KJe4mtW10E1aEohRN9xgQUBdEu+TCtpSpBq30ns/Olr+NI9r+CbL30CO4IiZaVG0cS/TgAQE/8ZTakWLropvnjRDGxyinZ+9NmJTX+r0yJ38fjz5vauIMhj6G3QDo//K61TngpN2vRArJ0XQhhTajBN4M7YEIbGMD1pAszyOlgQzL/jeGRZGOd8MT7z/Hn46NqF+EhzPZaoSBd/P5ZkTIAgXQfXJq9EKQKlfptW6lptFyFToZeuPLqeO4B779yCf/rRS7gveCEm8MCscNMCgKiwQcPl+rcAAcTSWdiUTgnjWdrhWM+DvAic7AgArDvWAhClmYmIyV2Xm6RZTKsQdCDCuBxbC4hEKQ4E7y4vg3b3NiuD4MKHMdrveH6YHIib4oar5uDa9YvxqTNm4oqaLGpcGrQvKqcCXiJN0oNQ68kP8jw4j4M3lfvtsVquL/stfpJNSZVVD7fh1Z++jq9+/3l89fVPR/vG1trhbuNlgQAgxsvyVXpfcSDKaTYoZYwLPidehh7cTonFsmqANfN6jGazN/ipnZR5niY7t8PLJxyIQKKs0kE3Dt22tTAsmOU4VTVMjksrhMYFneW87xwOgNgYZ85ZiJXr5uOGixfihul1mM9uu5CgLzanbA+ZQ783ZlpYDQgCDgssFFK0IIi/SZ3j79O2aTd+dNtL+NwDD+MJfCnqHgezh1uOsQUCgBhjg1f77VQLQyEGW9ZYOx7yHFwZZC/Ao0nXAgja0U7MnNDkuZCNNbhDFka1j7qx779CGOLoqAXiHhAkK6Qh4jB/C+354SlRUn1y6en4rSuW4M9WzsI12UyP94EAIV2gju1RNoXSpm06pzyEDpz7st5W/0FFtQgiVNVz8yE8cefLuPmhzbhrx1/haOBCjP24G+s7BgAx1hav8vsJQFgzcAKl14ATlEoNc4JVJgWPpdtUHAiBB07SZI5zt0SSJV9KjePfYrYHAFHlg24cui8AYb1hCmGQAKxMITVNGgvD8kBsjDNnzMLScxfiAxcvwg3zGnG2Mi5sWrMIkQ44eGAggqVAhgMMJqfT8Te8LksJYPjvlcGh8MehVuz62VZ88ydb8a/P7MG2wIUYh4E3xrcMAGKMDV7ttyOAWDUfm2gH5zHwapIEDJyolD5myZQKZVy0qMd6CmHYrAx+q9Q4fi6yF8t+sxZGCGFU++gbu/7bEIYDwNmEwCtOjwW7JcnopHlD50B8Pq67pBGXr1mAG86dg/fU12C60i+51peyPzw40G9MfCLeVO0qaTz4zyQiJfCjNE5bR0McC8pwP9WCn935Mm55fjue2PFX0ZGxs3i403hYIACI8bB6Fd9TAIKAQSDBSlbLa2AZ6zyOkx51IBwpzHsq5Lmw5pSeBK+vHRd1IN53VgAQVTzsxrzr5QCE5f1wwbbjXg0sxkMPYcz9X3HTG5bjD86dh48snYHLStU0PQgQV0GhBpvybLkP4kJYMCGgYAEEvxd/QtkbEsp67Qieu/Nl/NOvWvDTzf8uen3MDR9uOKYWCABiTM0dbpauxil3qchk8iI4yd+4R8SGSpTrHC2sZ7dkwxU2FTSdb09C5nuDByIMvjG0gHQgOEateqrGqca9FmY33gF0dg9dynrJP8ZzrlqM/3hmM94zexpWcVJnKFBAwmY82bYISPQqtOVDGxKasiYTsFDpcX5nMzx4vYNtaLnvdXzz/m249aE/ip4cQ5OHW42DBQKAGAejV/MtCSAWzsImq4pHe9iJ1OzGSsJRkrLmdyJP6jxNYrbCpyZqTmqcxEMxrWoedWPfdwKIf3oyGXviHGh8ijQpjg/5PQrlDQdAnH5LvPCa0/G502fizY21WMDrCjwoOymdteQWfz/7y8sgDwTbS4+fXvJS6HO+Z3tdP6iw6TVdeI/jHTj29D7cc/cr+MqPPxTdO/aWD3ccSwsEADGW1g73AnUgFs88VQdCYjvaiSkUQbIZXb3TcsAlSxIDyjthc9x5vjwSaY0JpsuRA0EPRqiFEQbhWFjAkig1ydqwhV3Q+T3HrluUi0OvxrnylnjZu87ENxdNx4UNNWgSGC9lWZg0Tf029HsTeKBNLIBIF6cTkZJghy+2lS9laOi6rV1o334MT9y5BTff+r7otrGwdbjH+FkgAIjxs33/d94YM7xYO7cBNcUGRNPy6N71a3ThtshrL07UhvffLltMy1Uf9FwFuly5W+Luhp/ppTgxdzkEELZyoWWacwImUJDwjXZ7vM7JroQDQSnsACAm57iZbK0WgLA8HwmlcaxyjCvDwXF5/PvhAIjTbo5XfHgtfjKrDitrssiJo1CqG2O8CdYjwd+UBRCccHpJV5Nr5H+TNnyhEKHjVHhdC1M9t3CoDa999wX87dfeFX15sj230N6hWSAAiKHZa0yOXvC3ceOKOVizZh6uO3sursplkNt6GA89vhd3PnoST+NTUeeYNGQUbmKLafHydkFX3FYVOG0ZZAKD8+cnAMFOuHqvHZHCGfJGcLILHIhReJDhkv1agOPvC0/2pCJbQMvxy9RiV7TK7+jlkRhOLYyVt8SrProOjzTWYm4UIZL3wGqtKCtDAIIeA9Wy0L2t10GS1iJLsrNqLz0VfLGPBBxO28Kkfh7vxKFvPoP/8YXfjj4XhsnUtkAAEBPs+bIU7+oV2HDhAvz2WXPwlvnTsKoui0xLK1589gD+7aEd+MEzN+LFySrSIgBRmjB9LNUqR8orwXx5AQQeTx0IvidY4PHS8ueELLetDYXQe8FjCVJCFsYEG+hTvDmWA2HDFRqr7H461MbJeDjlvM/+x3j1R9fjifoaNEmrQeaVB0RZEqpBUy4dU94HWw9DXhJez3oh+L4UxsgA9b64HY/p6EbX15/HX//91dHfTPHHXPXdCwBiwgyBOFp5C5aubsYla+fht8+dj7fPbcBC/qi5kBaL6Np1As9t2oU7H9mJO37zc2yejOEMZWFYpTunB+FBACdeidsIQCikQR0HvgQ2NGnJi6GsDe2GBCDogQghjAkz0KuiIRZAWMVUuf+1GAtQqLR9oYj225/Hmbs+G+0erKEcgLgQT02rQaMWeoX3BKx7le+mOJQXiOLvUKGL0u+HpEgPGCyA0DUlY13KkvKeFIVoCED+5Tf4L3/3tui/D7YP4bjJaYEAICbCc7sxrll/Ic5cswi/TfCweDrWTK/DbO0auNN2u5M8Ove14bWn9uGux7bj9od34tnJpvZmy3lrF6RHYMtwW7eqUuGoA8FJq6uYxGalWkmipfVCcAKzk7ZIlEFIaiIM9upog9I4CW45Fvne/Z49H4GgWHwdgWL+z43CgzvwjgOdeGFbAUcGE64kgPjji/BUfQ6N8jjIw6HQhYrN8beibAq1xT4RKWKqqJaImDpGc5KAheVN8BgCFdat+eensPH/fWv0X6vjaVdvLwOAGO9nvzGuv3Q5zl+3AO85by6uXjIT5zXmUC8hJf2Q9YPNRsjvPYFXnt6Hnzy2G7dPtsI1BBCLZ/coUSrkIIY6JzgCAw5MeSX4HaWqWY3TyldrArSlu102RiEBGYzVEnyFYlrjPcir7/4ck195JiHwykNG0EtwK6+ADTPII9edR9fWI/iL9gJ2FWLku4s4eaIVBw4VcXB3ESdxGN3YGPkciOQKLOH94fOwaVodZvK9zfpQSEP8BilLygPB4xmK0PxiC2fZUuDlQIZVo3T39QJvcYz4q0/jP3/u7dH/rL4nX109DgBiHJ83FeTOmo8LLlqM966bj3fPrMPSuhxqJTGrGKN2EZyAHAcgj+6DHdjx2G784KGd+MbjO/HSZPFE2DROuXPldnXgIPYqd16pz/Xd1MJwuzQd4ydjhTx0PUuodCTKIGU9jqO8Om9ty3nb8WjTH2kZgl0LgOMiurYdxye7i9ifjeAplm7Mx115nDxZwOGOdhw61Ibje07iOH/3zMK4YR0eaKzDklzGYQHnZdC8wfu434gH1PIypLVXrKaDAIFqZMgj6FKnrRKlL/9NRCNVymMdOPbdF/Df/vmd0U3V+fSrp9cBQIzTs579N/HMNYtx6cULcP2aBXjLgkascFwAz2zWD1ZuwZJ0rH9iRPl7TmDLEy247YFtuO2p3XgRG6P8OHVn0Ldd9rl4w/wmPK4JjidaAqVcsOq/LUG8Zn5PmWFpQHBi5N/0NFjPg8hiKg0eOBCDfkThwApYgGE3CklpwRUfx2ZGcKPA3zu9ZfICREDXzuP4ZGcB+6LYrcmIMknVb9IWmAzhvAYxOvN5tLZ34QgyaHjjctw0vxFr6nNo0G/LKk0KuIh4LJBhS3IrPKENTBp0SPgqDU6cl8OrUuaLKOw5jldufwl/9833Rl+pgCnDJSawBQKAGIeHs/SmuHnVfFzuwMM8XD07IUtGTkjGI3lbfleLoXbfhoBV2HEczz+8C997eAfufG4vXp2IIGLpTXFDXItpTVk0Ta/Fm2qy+LomUvVJOhACEFYUSuQsCyAUUy6RxLIJEHEFi0ypYtqUJMr3nxNqYYzDUK/aW6aVKEUO5njNe912pUPyvUiL+SK6th/DJ/J57IszpWiEs2MmQpTxoMJ5FSJExSKKDRnMOG02Pjy/ERfMqMccu8DzHgqbWGl4GzpUNU22gXONQIUK0ok/wXvK+6AHqzCH0qfbu3Hy6X341Q9ewRd/9IHorqodAFXS8QAgxvhBN38+nrG+GW+6eBF+/7x5eOuserjcAu0Q3I+UoQrvglRs0qovchfBDARODq1d6Hr1CJ58cCe+++Qu3P3cL7B9ImRnMDwzrxHNDXWYWZfF9LosptHBwpBtHOEWS5i0jyAtFMXvlLNODoR4D9ZeVvzGTtQWjAQPxBgP9Cq/Xbk0Tv3OrRdC5F+N686EA/HnhRj7BBYKceKByGQTj4TARCEBy8VsFo0Lp+Oq5TPxW/OmYbUNDcqroN+I5V8IRIjcaYtwOWDvNzOagyyBUu226aH87e5vxZ6fvYZv3r8d//vRG6KnqnwYTPnuBwAxlo+YhMnTcOklS/CRtfNw7dxpWCRXvRZEuxjaqnm2mdytW0nZti6cfPkwHnhwF773ZAt+9tqfRfvHslvuXjfGNc1r0DAvwpyZ0zAnF2NaNocatwGKUOQkSH5jnMG5cYwvuMnU78REmLShDO123E7LFweikJR1udo+iizGz3gdpxXhd3a8T9CBGPMRUdU3FIBQeqaMIc6DshsUglPYoFhA12tH8KfdeewrZhLAEBd7eyL8byOihyIqIo6zqJlZi+VLm/CmxdNx1bRazPYgw93WbkgMAEm+Y/jBpHQqRVNIpZQN5Tc1VruCIEKeQwKgfBH5F/fjgR9uxi2bDuDX2z4etVT1IKiCzgcAMVYPeWOcu2Ax1ly4CH+4dj6unz8Ny2pziKyCm22KzcmWq9MyqPlDtuSr413Y+/Re3PvAdnzn2Vfw4J6NUduod+3GuGbp2WhqrMHM6bWYXV+Pmdw1cVIrZBFnC70nvkKEbgDnxRG+UCI82jKcpqiWdbEyLEE7SQdCk6MtU6y+ihvhyoV7fX+GQwKAGPXREG5gLKA0ToFkgWMVodIYtmmXrt4E0PXiAXysKwlhuHWcoYu0cQkqsubzbA3qmnJYvXwG3jK/EW+YXofpzpvnCZSSiS+FN4zOg+YRggDHtYoSTx/nHQEIKU7qd2tDhwQd5GTtPIbNP3sdX/35Ntz28m+wG1+K+HsPrylsgQAgxujhrv3n+Oxz5+F3183F+xfOwJqGHDL6kabdiwpXKDapcIbeq1Ke3bGTS3iwDbs27cGdP96MLzz5sejlUenaxji3eDpmzWnC3Gm1mFXDaEoGOXoYCkXE9DbovukYrlO/LeC8KIMvaiISMYvnaLLVrkjvmYZJj8v6BT0hDB7PyY62cmDBAxF5IqxtgpDUqIyEcNF+LMDxd8uTSQqx3cWLKG0BhBvDLPvNXT7Q9fJhfKy7iBaRKFEGQBBUpD0TdTWom1mL1Qua8JbFjbhwdgNm897iXEhyupTa6d0M/P3wt2ZBhquT4bMtetXH8MBDvz+fck1C99YHd+K2e7fiG0/9DFsmQhg1DNDRt0AAEKNvY5APsGE5rr90Mf5ocRMuaqrDNLks3Q/REJ00sahZPE4FbfSZc3+aHYTSGskx2HUMz/9kK778yDbcsfmT2FsRyevPx3VLMpg+I4fmGVnMydWigd4Fehms+eh5sO8FIPh5FCMuZlEggChGCYDQ4JM8tXY1nMzEEudnBACcqM5fcOquSC7gNICQJ4LtaesOSpRjMMzDLYwFCAg+v6mnMJy8YQLONi2SC7w8jojRtfUobuzOg+5/UwbLpWH0mq+tZ4JggtkatVnUz6jBqvnTccmiRqybXodFtTk0iCApj6fCFvzfAgjn5aSeA6Wp/RxjC26lUzg78mhtOYFXHt2Nux7ZhTsffRTPBc9D9fwUAoAY7Wf9+bhuw3RcetkS/Om5c/COedMxw1Wui3sEZhSjlHqiPA3lhFxUB0LuRj5ArtrK8e7Oo/3lQ3j4x6/hXx7bgbt2fTZqH1YXr4+zS67CrOYazKuvRVNtBtMZnihGKAooEBSQCa7r830vAOG/4+eFDEO5KLCkRWce/yzRGe16LCnSZVJEPfr6LDzEm6zzUtYOZPkbaSJ0HgzDe1DaK4EEz3/P6lCNc1jjIJw0LAvQA3HzE17nwadnKyynTYLzDvjMK20kqAOx5Qj+pLMb+0iaFDDg9/z7lHBG2jsRI85FyNXXYNH8Rpw/fzrWzKrF6fU1aG7Ioa4ul2hLpLMp+Jn7TRq1TJthIW+f70OxGKPzRCf2vX4Mz/6mBT97fA/uef4+bAueh2ENl0l7UgAQo/zozrslXnXJUtx43nx8aG4jljB7gj9S7jq0a5YevX7EmmC0G7BpnCII2jRPAQgRsw62oeXhnfjO3S/jS8/+ObYM2guxMc41N2PanBzmzqzF3FqgPqpBVh6EtKkICrKG4MX3fZnTeSBiFKII53XH+BKPs6p3YnXzApbbwYmOHgn+v5bVOE3VP3lelKZmAYTd4fH83zsbWDc/lPMe5eEeLu8toBCGwmuW62B/3+JEKIRQm0HXcwfwJ11FtBRjZMhzcARkkiUzvdM4/XXcHE6hKRmfbgvyJxozmDOzAafPbsCZM+px5sxaLGysRVMDtSIi1NbkEg9HmihpCcklPgTnrAK6Ootobe/GkSPt2L3tGJ58bh8efHE/Hn/1U9g96HkmjJIpY4EAIEbtUcbRkn9E89pmXHflcvzFshm4iFoP2nHb2ypEoZi/OA9yw1sJXFvjQVwBx5kwErYF5pIfx1O/3I6v/fxV3L7rs9Hh/rrJCqBzZmJufSNmNdagydXa8RPSQKDAeiAcAEp5Iex946LDBmuiLL6kgad2W+Qh0EBZa70aa4A183omO35OEKbwDydilQEXuVIuWNrnvWcFADFqQz1c+BQLpDkQGpMi9woHp1MlHYnyIP64tQt7CR4IInTxKOtAuHtvCZTpm8tTwd8xeRHZCE11GcyorcG0mgxqMxlkMzGycYzi7GlYu3oO3i0vH8ED+Q+bD+J7rXm8RodEqfBdjGJ3jK7Wbhze14ZX9x7Bq4c7cGDXr3EseB6q80cQAMRoPfdPxnUXXYANly7GH1+wEO9prMEsxfiF+OVx6A9AaKdueQJyz1tJWi6e4hXw+45uHHt2P35864v4u0dvwG9O2R1sjGtXNmLW9JmYxzLA2Qi1ClEM1iTpEMZAACIPdEdFrCWA8Lumkix1Wr9folCSqS7VwjAiPNaeVs2PdtGLtgjlvAf7RMNxlbKAAARl1N1vmBUu6U1T+XrPe9AmgZVnHR8hj67NB/HR9iJapAMh0EAAwWvFBbgUTvd787wjvheoELmSnAh6L0hsLhaS0KN4S+QwdQMdS2fh7ZctwX9hzQ69+Fv75Tb8+yPteDQTodbdM0KUzSDivdmOrm50tedx7Gg3WgZb9KtStg3XmTgWCABilJ7Fis/FC85fjA9esQx/vrARZ/LHp0VTt7T519xWWBVK7lhEEJSrX25+nSeFOBfW8G5+S47afhQv/uhV/MPD2/Bvr34qOsBp4Iy/wYyaRjQ3NWBeQy0amDlBIJAvIs75NnKysJ6E/ngO9jz2i+/TJuV13ecZ5HMx1hQz+BenyOcrFCqrRP3j+VKi5N8EAQz9UEjKHeM5EAJSnJQJEhSz1f0d491naVx/TuBAjNJQD5ctYwELIESg5HgkkBD/SQDY6r3ERXS+cBAf7TQAQgJSlqRcJsOpBCxIckhr2isEUpp7YmTyQMeS6Xjb5cvwn9IA4pEd+L8PdGBTJkYNwyMZn1Jq5i43nxGsUFL7SDf2HO7Ggd2fwOEQyqien0QAEKPxrG+May7cgIuuWIaPXbAAH2ioQUM6BqqF0TKcrZQsXfNaLOWmV1O1K7ehDvEBbDzzZAeOP7MfP7l3K76y9RhO2PW6AAAgAElEQVRemZbDDKpC0tvgyJAeOLidjMmoyMbIFHw6JnccAhY8jp/zs9IiHaFodyYEJPquxI/QjJZBvhhjTQH4cskt6gldbjLyfxMMsD+qysnv2C9yGCx4sCBL4QyBBila8loEEQQQFy8MHIjRGO7hmqdawCpROkBcSMaeS6XM9mQ+yFumcU1y4pZDvQGEPAtSpOzL3o506T0E9jfK37b1VLjfWsGFR7oWzsDVbywHIHbhP+07gceRKZEuT0kbFaGT4CKKkM0X0dnRiRNH2rFnczdaMFwCdxhQk8YCAUBU/FHF0eqbsPicZXj3xQvxkWUzsaE2g4x2G9qF2DCGUrtU+c5yG3ScC09INY7eCd9uyyXgRzZ3uxijeLwDu361A99/dA/ubcvjeAmEpESeLIDQJKSJht9pQrLHOUBRRCzvigUP5cyaIwciizX5Ir5CcGC9EOon+8OJ1srmKiuDOhDazdmQDu8lgCbPhbwaAhAfCB6Iio/0cMG+LSAAIY4POQYcmwS2KqIlpVR7FS7Crx7uDSDSi39fd7VAw3IkpFhZ+u17T2N3AZ3Lm3D1pcvw/6Q9EA/twH861IZHiz6EUY5zUcoKYSaI5z45/lQGMUMxx7qw+2AXWnYfxJF0CfIwdqaGBQKAqPRz3BjXXrwUGy5Zgo+d1Yx3NNVjjvUU8HZc/Mh74EvZGPQq8HPVuBDg0DFuFw6goSaZhBS2sNkGAhBu5+7BRiZC/rHd+NF9r+P2PcexnZ4Hd1yqUE9/ZrAgQaCh3PEDpXXmMsgXYqzJZPBVni+SpMAC+yywoGwLTsA8jjFieiD4UraJ4slKMaMt+Rn/MY+dL+78OHH//rkhhFHpoR6u1z+AoJCUwnQ2s8iRnuOkCmf6VSw6D8QfFYC9lkDpfrMp0G/PTYOE9HflwAU5EIum45o3LsN/TgOIh7fjr/a1Gg5Emfkizblwc5RPK6VXghyOQhHdrUUcOd6KvS8dxF6WHw/jZupYIACICj9LVyxrJq67ZDn+cmkTLqrLIeKC7oCA34Eodq88cC5y/Iy7ZgKItNiMzS7gQup0JHy75QKV+FKpqqX/Phch3nIYjz+4Ez98+QCeOtGFY/wqnT3RnxkGAgY6lzsPq46nMsT6nlkYUYS19TX4qlvofSqr8uPZT9pCKarso3gR7Pc5c3u0+509vRFKYCx1TR4jUPKBc0MIo8JDPVyuHwtYDoTSIq30uvO++fFLMCHl1JghjCP4SCGPvSJR6rdajvegJpQTdrPN4/fp8wkgls3ANVcsPZVE+eAO/MeDlkTZD3ixRb70+yeQcNwJVhClB7aIYncBbQfasffQCew5+B+iE2EATX4LBABR4Wd4xufi5euW4PoNC/HxeY1YIfa19BvoQeAir3TMdKqmmlPiMhg9ekuQlBKlFkl+p508P5Mrn/c/1IZtT+7F/Y+34P79rdgWxyiUW+jT0rgEAAIP/QGDvkx4irBUAfkog7V1tfia0i5dSCeTACIrPy0PjDwRdPueNSfxwmjjJvEpW7lUgMMBKj+6u/IJB+LCwIGo8GgPl+vLAvz9/cPjCYAtbRR8ppT4OTqX47lUTA8OQPxhRx57yUUS2BefqC/gX84DkSZCu0wNAwQIIJY04Zo3noa/PiULYzv+/cE2PFbrQxiuHf14LS3nQselwx5OFCuLbDGPrrY8DhzsxN5tH8e+QLqcvL+jACAq+ew+Gdedfy7OX78Ev79mPj44qw4LeXnFPPk3PQyqpMndNl98L3VKkalEriyV2PVAQrF+ZWYolMEHKe8Dr8lQACcxejU6u3Hi5cQLccdrR/EMiqeQtHtZga5TeQ80CZXLxCg3mfWrA1FAvpjB2posvmYFowQg2DfaxwEgYxs1rpSF4TMx7M5NolvlHmcoplXJQR6uNRgLSMqawIAAgnLs/NsVzMr0BsJucRbgjdH58uFTAQSPKZc2rbZYQbdy7Sv3W3UeiOm4thyAeGAb/i8CCKVxprM40vcohTN8qmdfNpIYVi6LbFcR3e1dOLKvHbt2PocDQQJ7MCNrYh0TAEQFn8fiv4vnrlqAt6yfjw+umo235rKYwctb8SixsG2YQn8rk8KmdUle1k08PnRB0KDrSNqa16C3QTt2pS9692m84xheum8rvvH8ATzSBXTYHUPaBDbrgt/1l6pZStFMuAlJumYfr7iAfDaLtXEG/1py6/pjVfbYhnAEIkQ8ZTVOgQaepkqDAlUlIqaX5FUzgg5EBQd5uNSgLJBO4xRAkKdBv3lezHobGcJ4+RD+4GR3TwhDv8f079A2pBxAGAhUEEAsnolr37QMG9MeiF/twF/uPY7H6rwHolx13V73994JAonBeCqkW+GJmMXWbhw/3Iqdrx7GQWyMOgZl5HDQuFsgAIiKPYI4OvOfsOK8eXjv+fPwwYXTcQEi5OTC1MKoCUO1K7jgS8fA7TL84pcuYKPaF35Bd5OOJWeWNCV8toZbaL37lH7QlpPYdv/r+PaTLfh5ex4nBvMjH8g0ys6wAjfpLA1dwwOW7kyEtVEGX5cdRAiVEBbf0yPDCZjMdYEqelfogZA72OpelNzEqZoDShXl5BhCGAM9zfB9JS2QBhBSRRXRVxsLCyD4N3UgnjuID3UQQGR9CMOHHWw2VBrkl2u7E38yUvM6RuqyJGz2BSB+uQ1/ub8djzLl281LZmOQnjtsWMQKWqXbZM+zmV6u34VEqKqtG63H2rH/ZBd2DruOTyUfZLhWvxYIAKJSA2RjnFmzBGsumIcPr52H62c34DRdmjtlegysp4HvlVFhAQTPIXhw5XRN3QeleJYWUMVTmXHhwxflXKO6xOF27P7FDtz2+C789EQXDpZTsjvlB98PccpNKl47QpOLC334nHM7WfB7zyh3AKI2h69bAqXSOQWKlCdPzwGBEAEFgYVIlOJA0CY2HbYUzvGjWn1v8xyIoANRqcEerjOQBTgW/2FTAoL1cplR3uPgyneb2VfjmGmcLx7EhzoL2KMsDJEpBwIQ8v5ZQbiRAIiWk3ikNoO6/oCAm6/MPGEBBHUr0umkVMR05/hsjTQYkWeUGhWHOrH7YAv2HtgYnRzI3uH78bFAABCVsvv1cfaCq3HJZUvwJ+fNw3sa6zDbaj8oE0MkPwIELowiBcoNrx2324kre8NkG3BxdZkF3J37UuC8DuVny1X51KJ8qBX7HtqNHz62Cz8+2IndWvRtyIETT7mc8b7KdGtnYieu9CTGY+R67Qa6a2Osq6/DNxieEA9CfXdFxVwiedJHggylwQlAWMIkJ2TVFrCPUSJcqi3CY4IHolIDPVxnMBYgQPj7x3oLl2lsu02A8Za535GfiekVeOEQPlTIY3cJQHhPhNKp+wo/Wk8gr2mBhLtHqk5NsYDOxTNw7ZWn47+WIVH+n/ta8UhtnAAIei0EZMr13wKBvtJNeQzTyG1GSF81PXisxK6Od+Ag9Wy2fSY6Ohjbh2PGzgIBQFTK1hvj3GWn46pLFuFPV8/FtY01mC4AYeOdvJ0WdRumcMDBhB9U4pvHWnEkAgi+CCDkxid4oDeDYMS6SBXWIBA53IYDj+7GTx7Zjbv3nsA2VsYs7Yy8e1IAIs1j6ItAleY82ONs3NYAkO5cDc6vyeKblreg9E1NopYMqhRWfra6uXfYhoCDufRK/aT9+CqBMU9O4/e/G5QoKzXSw3UGYQHrgbCeBweovQ6ELZctvk8Uo/PZffhgvoA9hSiplqmXeA59abhIyE3fC2j0+i0aUbhiBp2nTce1V56G/3YiVQvjgW34bEsbfl0KYTAl0xT2su1yVXnJgfDeFpt2aueEXnU7CojEqzglJOJ5FDqX/ShE6D7Zif27j2BHSAEdxAAco0MCgKiUoTfGuatW4Oo3LMafr2rGW+prME3iMRI6EniQ69LyGgQg5GEoBz5EnOR1VCZYdSIELJQeqm4pHHK4A4ee3IN7H96FH+09gVe7Cj2ZGAMp3VUaQGQz+KZkqwlyGKqgrVztD6+mSd0H108fqiFIWjU7ARC0jXMB+xiFE+Hy3ot0GIPfBQBRqUEerjNYC3Ac3vxEAvT7ewnkSxRtMACiv0wn3ku7enkwLNC3Ica4Gx1LZuG6q07Df+8LQDB62Ff708RNGy7hdy7jwocs0iCo9N6TLwlONM+IiJn2fPIcAon9J9FyeD92h9DGYEfj6B0XAESlbHtjXPOmy3Hd5cvw8ZWz8KZMFvVc5FzdCrrl/WJnY/YKY7hdiQ/sqzKnBQJup8K6uj4FTN/xc6Vzplnd2oXrHkc7cHjTXtz38E7ctf0otjAjQl23sdX0D7scuOgLcJTbbaTM2x3nsK4+i2/ZVA2r/0DVSdX6EN+DfW+qTTwQcv/KrtaeCnuo7wJsvP7vnR10ICo11MN1BraALectjwPPSnsdBITlPesqoPOlg/hARxF7rA6EO9eEIPoTgpNmS1+p10oHLXajY0Wz80D8zzSA+Pnr+My+k3hEHgiBkLTkvfNa+uJ7Im3SI2FTTm0quECG81oYgqcAhwNAnlNhK4f2mpcyyBWKaD/eigP7DmBnABIDj8fROiIAiEpZ9sa45s1X4p2XLsHHV8zEG7OZBEBIKEoLvQULJR6EYvkEG5lE5lrufDWPC6WImPpMaZvWW8HztJtRaifPO9KBg5v24J6HdjoPxGuFPIqaDMqlh6VrX/SX9mmBSDlzlkoAA901wLpcFt9Op16muQ/2e2WsUEhKxEkrDexsyoyTMqmdbtdSDByISg3zcJ3BWUC1MNq6k1CjwIMDtf4SluOj1G2SKJ/bj/d3GxKlDUHo7v1lYaTBRTngQZBRjNGxfCbe/Y5V+OvjqRDGT17BZ/e04SEBCP2GexXL8zwFgQvbprJziidOlrMgwUR/Ilk6R+BCZM2uGF3HWrHnyAHs2bMxahvc0wlHVcoCAUBUypI3xjVXXoZ3XrIMHz99Bt7YUIt6eQqcyJHXcdCkwdvakIRdMC3Zyk045ilporEeDR0v1Uu7A+f5BC9HO9Dy4A7c+chO3H2oFXvKpVumCZUe7LjpbzBpYwQlaXPyh64JhtGEugzOz+XwbYIrLuwubZUZJz6jQgBI3AeFe2g/Aohepb/LPDtNzlYjgiGS958DbFgUqnFWariH6/RvAYUwCCAE8O2mQKJSHK8CGBzr+SK6XtyP32vLY082d2oap+46GB0X/Z7TXgM3JxBsR6jNZvCG5gacU4zdAp6JYuQyETqPtePu7hh7C+jNw0iDEedFULVdH3YsVxG03BxiQYZNOVWaaTn1TZG8S2qXXqK7o4h2znGv5LEbn4o6w/gcGwsEAFEpO2+Mc5efjrdftAgfP2MW3jyjDg3SIUi72bXgWxKlBQqcVFSqmv/L82DJV1pIdZ44AOlrilvBNM6fb8Ntj+/Fj4604VA5QNCfCFR6d1HObOViljxOP3YBiNoafFtKmfLM2DCPxKJUyZATLPtLAOE4EN6rILvKy+PuZXZ7ug7v9cFzA4Co1FAP1xnYAjYLw3J19LsW8dfpoPiMDB5XrACAUOv60mRxvxMSE2Mszxcxh1gelJnOON2aXDaLHdMj7E2TOKVOWy5EUvIQGLnrwXgty81DJbJoKsRhrX6KTL7nXOSLaD/Yht2vHcC+ULhr4HE60iMCgBipBXX+xjh3xWm45oKF+PiqZgcgplnypHYh8gi4FE6frqhL6Bguli5Vs5AcQ0KhPrMZGbxG+gHyeP3Tjodu/2MdOMCqnA/txg9YlXMoAMCCAP7dF1Do9QP3GhGarPx33cji/NocvsMJVN4HW2QsHdpgf/U9dSBEFlUBMqXFOu+Ll/Am4HDCXf49c/E/tCYU06rUUA/XGdgCAhBW70FeNXF1OD5ZNdbWd2Ea53P78Htd3cYD0UcNCrtAWx5TWp+lXGuLRczuLmApAQNIdoyQKUbI5jJoyUTYRQ9FX6GQUpZFGZEqe85AFX/7Ahjp9FO2P61nIS+F7RuP6aZ4VgZRVxEnj5/E7s2H0BJKiQ88Xod7RAAQw7Vc6jxW4dwwB+85fwH+ZNlMvKEhl+RPm7LavSRr+ws3CHhQP9+W+bYxftXIkCdCwEIpoip5rWYWCuh8/Sh+8/BO3PHsfjza1onj6a4PtGMZzM6mP3N2daG7pg7n1+fw3ZJb1xT+4rlsv2u7/1uTLb87szkBUrKPaozwGJVId56NQqKLwWvRhsxx/4M1wQNRoaEeLjMIC/D3+I8+C0PAQePbkoatmBS/Jwfi+QP43VaGMHzaZGlBNUAinRllxNo47l0osS+PYiZCfXceS6PIhVkzcRaZuIhcLsLBbAY7eT4zOKx3QERJdb1PvkI/XoO02foCGOn0U7cJSfEnymWi9CKNRsjSJq2dOHKkHduDhsQgBu0wDgkAYhhGO+WUG+OadRdh7YWL8OFz5+JdTXU4PYqQ4YKvkIK8Atph03Wp3bSuZ7kPNqNAoMBKV/McLqTkD/B7xVEdWtcibCt5AjjehUOP78HdD+/ED3cdwavldi19mSO927HHdRcR16R2SfxMx+i7NIAQ74FtV/aFMk5seMIBhAywqrlHKyPNKRFgUtjCKn/SAxF0ICox0MM1BmsBVeNUES2Na8uDUH0Mq6jKLIzn9uF9rfRAcHHPIFIeZVrd1Ykt+d9dOgOKfKRycvUEBZ0FLIyB6aRl0QMRJXoTJ3M5bGd2lvRg7G9+MByocgs9wx39ZYOUS9kshTx9Nka63o4FM33VB+ExTA111yoif6wLew7vxd5AtBzsCB7ccQFADM5O/R615B/jOevn4IPrF+Kji5qwNpdJ9ONtjjffW14DF37+E0+C35+SmaC0L5+VwewMXceCjjTpUtcSwNA92rtReOUQNv1qJ77/7AE81NaFVi3uXPDL6d2XC1cIeFjVyv5qa/AeHlB05yJcUF+L78rDIKCgUEUaaClE0ViTcCD4XmmeKhxGr4MrxuUBm+0/j+H3v3Nm4oGwu8EKPPpwiWCBUyzAMUyv1//nlSjF80mDB3rK0rL1+Tw6n9yL93baEIaRirZqkyIoswFcSPVbTR9jP++KMRv8x9TLQgIgsjXoiiLsqi2iq9v3RiBCnbMejv6K5pVb7MWZcHNXJtlYqIhWuXCIPpOXQTVBeB6zQKygFfuqzBD7udJLS/NkjEx3Hh3HO7H3pYPYjY3RAAodYWAPxgIBQAzGSv0dc32c3fB2XLFhMT65shlXN9ZiptV+kLtdqZUCFvQ+qN6FuBACEFrwFaZQjriaYb0aCgXIO+EnE3eoAASBijgVR9qw56kW3PvIbtxFL0TBKlKW4S30l61Rcq2mtPDLmYtu0TiPfK4GF0yvw/fsMZKkJgiQUJSbZAyoEolStpJXhv1yRbd8tglt4wSpjNAEd4HXngG8+bTen4/00YfzgwX6GOssXocvPNVb00TA1vKhBP51HYYwnm3pARB9VcJ1C6TPQPBzSikDqld2g/ltFnOoKxYwh5kWbhefQS7OU6Uae5l5kd4QpInTLqRSkxAwB3ry2mSkF3KrCVEooFiO7yDAYcGGBRW24ifBQzmgwTamvSbuGnmgrYjjB7qwc/cncNipa4TXsC0w4EAY9pWr4cSNcf36hVizch7ee3Yz3r2wEWfncsiK4CfhJ1dx09d10MKu2KfTd5Dqot+R2HoPCkdoJ87zpWBpH5527gIo/F/FtRy72+/cCwV07zqJ5x7Yhtuf2INfHuvGscG6J80kV/rRlWVRpyYYTiac1GqA7jiD9U11uNWCJRXPcmRJL95LwEWbqY8EQ+JAWPIpj6GHQd4Im/Gi9vJ5rFsAvGd1D3+iGoZn6OP4WIC/t6f3AT/c0uN1FO9BIEIhN5X31m+VIYzn9+G9XcWeWhjqRUnMqYjYeh/8pqHkgUh7A3keOQ1xjNlxEbVOxDVClnUpEGF/JkbHKYutASe8vhWPS3sn+rJyWkvGbQpMZVH7Ps23cPc0wllS1Uxngth79yJw9qMrwXsVIhTb2nBwb1C0HNGPJACI4Zjv+ji78Eo0z81i7qJZuPjMZnxo+QxcOqMOM6PI/VhLud9c2Finwv/ISxkSui0fAL8nUJAbXvFSBwJU38GfQDe9BRBaTK00tK3kaXfiqmx5vBP7f70LP7z3dXx/13Hs6EsIxoOdU8ZIOb0ITWJ9gREBCORwQV0W/1u7MHlZeD4nU4V9uOgLQOizlbN6AIbcwV35JA1OdUQsd0LqnbzX9FrghvOT/9M6GcMZAuGcYIG+LMDf/J1bgCf2JuNVcuq2uq42CSI/6z0BBD0QFkCklV/7Kq1tjztFfr6ARuQwjbt754HIuJ/a4aiI1jQYKdevtNdB5/QXupQeRH/p3QNlYqgt5XgUDoAwfbOPbJDBZIHkI3Qfbcee1w5gbwhrDP03HQDEEG224G/jxln1mN9Yj6Y4g9qVM3DNufNww5xpWFHrq+YJLHChEtfB7oytt4APgB4Im03B8zWh2LipSgFrIlJsVYRLXouLpg2NqC3SR+C9ugtof/4gfvWTV3DrK4fxdEcnOtyPMdvjmowKPlZpPkubisekz7Hv08fTAyEAYb0Iaa+BvAlWbZIT8WkzexZ/9V21L0S01HXplXBKn55kyon6A+cmctgBQAxx0IfDB20BZf587Rlg14newme6iICtDV3qN8AQxjN78J7WbuzK+mJaaSGocmFFLdbud1xAlJKnr0EGjdzFO88D9yUZnEQRrX3VuUl3uJyHolx2iD1PIZFy2SADnpvyYvalQ5MOkZQARxkPhA2f2HYSaLR34ejODuw8/KnolOy0QT/8KjwwAIjBPvSNce60mZg3qxHN/CHWAjWzGnHm2c1416o5eGdTLWY6z4MXM7I7bC7ayjiwi5dNteQEYrkOAg6K9VvQUcrkMAukFlsbGpBUNr/jgsqXByqFHcex+bGd+MnjLbi35Sh2WABBYBDlEMd5RAQEAhMDmUrn9HUchaRqa3FBbQ638RibhZEeiCXip6c6MS1zxazeAEL3sYXE1E9+J2+NbMliXFSkDK9ggdGyAIHt8weA772YeB409pSOrcqcVrJVnCmO+e4COp9swbs78z0AwhKcteMXMblcXRpDWuZvLFsooiHKIkdgQQDBkAWAU2SfyylWlhZkryjbl90UYrDfu1BBGXVaN9cMcL20Z6M/af2yYdQyngnHw+rDY+EImBnkj7Ri/+ZDjmRpxL1Ha7RM/usGADGIZzj3f8VNC6ZjQSaHBv5gGT9ryGH2qtm4dvUc/M7C6Tgnk0GtrUEhcpSrbZHtidFbAJHeeYscmc4Nl8aBsjhK4MTLY/P6fKV34wQu2s1baegIiFu7ceS5/fj1r7bj9ucO4HHlfvM6wwEQBA8DmbKYR54AIpfFbZLyZftElpTNbOjCcTe8R4YAwLWPRcS8a5jfK35s1S0t2dKBCRY0i5JsjAsWhGyMgZ5V+H7oFuAY4xi89UXgtSPJGGUoTt4/1a7hldNZR/rN0wPx9L7hAYhyYCKOUed+LiRdJmmN+ZwBD32lZ/cVsihnFZE20yCiP8G5oQKIdN8Ganc5UCFPSF9hVqV+dhZw8uBB7NzxV9GRoY+C6jojAIj+nvfGuHb1DMyrrcOMLJ2A/lXoRnHWNJy2biE+uno2rq2vxQxmAkgxUbUdeLhAgXQLtCC6hTBV50ITjHbfNq1TZEqep0XTZmvYBdPKWadd+0qBLMbIbzuKF36+Hd95bDt+crKArtoy4Qp6IVxbywCELh/mGOxPpiaLfE0G6zMZ3KbS3Uq9LAcoVERLAOCMWcmd5JWRLVRXQ1wIqvtJD8K2jcBkSRPwkbUA00JDKGOwTy4cNxgL8Hf3wHbg59u8GJovbCc1ynTKtgiUHK988X1HHp0vHcbvdLRhVyaT1KHozzNgUzbLHUcPRFcGtc4TEaPgvQ+ndMd6LfhlWtfFZnykT1YYZChk7P4AymAl9dUOCwz642QM9AyVueGARAHF4504/EIBO0Ntjb4tFwBEWdvEUfPn0bQoi/nIota68Is1SfhifiMuunAh/vi0WbiUxEmXSuhrNlBGWROC20378IQlR/ofaanMtwiEDDFoAVTT0gJSDhR4DQk+QG3902mfdJOmAYQWYE5mLSew46FduPO+rbj9UCv2lfvxCVRYsDAYKetyZq3JIB/lsL4uh9sJAgi4OLmKAMk2mViw857Qi8I+8DsCCEtEs4WztNMTeLL8CXlsxBW5ZDFw3cqQkTHQhBq+H7wFOFaf3Q/c/WqifmrHnC1Pz3GqlGNeneNfv2+O2bZudL56CO/s7MKuggcQ5VqRXqz74xnki8g5PkURXX3xJ2wKJ+/nBKy8fosAgkBFf9kVtq1W5Cr9eVpLQpkiDjAxNdOklLv29JEVUu66/Cxtj3L2OoXX4VNjeX42Ued0FUtbjmP7rs/iSEj5PHUkBgCRtsnGOLd6BhbQ63AK0s4hzsWoq6vFvBWzcM2ZzXjf4hlYKbCgha5EAjRFchQPFalPu2i74BFEOGBAd7tfHW15b00+Uq7Tucr6EDmr1yJrnrAVWmIbibCf3odf/WI7btt6EM+1dqNUxS7tcZAnwv3AjTeCn+u9/bvcpFfsRr6+Buvr6/B9fc8+uR9syb/TU8tDHgL+z3ogTOO09UV0Dcv7UDVPVfqknbXT48QtV/FlS4C3rQggYvBLZDiyLwtw7L56OAldcCPB37Adu2kuhNs8ZJONhcamgD09EC/uxztPdGBnzpMo+7pvOdJzrwU15VFMk57T1+2VSukXbC3mdgG34nPpa1jPRTmgYcFAOpukL6Kkmx+8rLeba6Me/Yj0/Uvpnl4Jty+PRDnyqE1PtR4SJtEFb0T5URgAhLELuQ5zpmFurgYNlgdQWuwiFGfkMGPOdJx15hy8f8l0XNlYi1nWNaljRZbSxMCdBj/jQmg9CkpR1I7cqizq71I1zmKye7EghNdP8ypEThRIEWHLSmu7tNEiOl4/hpfu34bvP7EHPzvcimNpgLHVFJUAACAASURBVDDQsjFcAKEdmvqtEIxAlNJaBTBIonQZFL5B1vsgL4sttKV267qaxOXh4POgMiVBxIzawIkY6DmH70+1gEDvs/sSz8ORjqSIW1+hCvfb8vLy2hh00Qvni+Z5EbXOJ/eMDEBYArS7pwk19pclpR66hdQDCNXVsACiHNdC51oAITn7dDhEx9pF2pbpTnsnLICQpkyfPIZU9kZa/jut0lkORJWTDCeAae1G24k27Ax1NXqsFgAEbeF1HWbm0JzmAVgOQHc3ijMbMH9pEy47bx5umDkN/397bwJjWXqdh5373qv3aum1unt62D0czZCjESUu2mgYtszYju1QkAJKNjyJFUkRRcVMgiRMIkSRnARGBUiQxYhk0HBg00ZskoqAmLKoDSEdizQXbaTlsUUOOcMhZyGnp2d6q15re9sNzv/ud+u8U/92l1f1quoW0Oj33v3X8//3nO8/2/9kJ5n4RiAZlEHYWUZFqSEAk+By7CNhYsMzaYiU1kbFbrK8TLQQEJZISMVt8++4iMsGHhDKCeCiY8/zi6gmToXpnR26/tlX6Dc/+Rz9yusbdLWdXcQTIzDGbUp8AKKlfCRGLRr22vS9y136NSTWYaCAa7v5f1b/mntCRPItHjMzZhmFAadIcyJhR8qMMRsfEzhWZmYSQ7csHTiyVCL+/i3niP78txG9UeibGt+ImNU/vmWw9xgwfOEq0R++OgEBEhyYRGjZu2ycq4X2iykHx2gfgFgQfle50M18kmxAH+8imxuZj9n8lxBZlR90HH5MDDSkIJcmBhuosO0GH9AwNFBXf0vhLtvTKbuz99kqu3SOGq0Fkf4S0ulTJ8py5brhqJL7G3Tt+T+g1+ljSaY/Pb7vwrEHEI/8Yrp0sksPtRNa1i8lXkRsD44iOLtMT7x5ld79lnP0U8tdOotLrFizILNLMoOAcISJAYzHhGsxU+H7GxgQcDQFC8xMS8F3XjDDwe2bEI5GsGZ5DeSWlad5tAXP7/w20Ixp4QQOoDFMqf+FK/SpX3+ePvTibXqeRlQofIlBhOv1AYDgE9HOiNLOmEadBfre04v0cTlm1Ee4KULeQD9+ziCLE0lhPvmaZICBHShz0CSiNJix8zOt9QH44vVjDcRjZ4jefoHo0dO7N36C7seXPTQzxz7h95HfT35v72wTffUm0ZevE13f3L2DRaZRh7+NpKDUDMIRWiaZ4neTTRhfvkY/tDWiV4ywF0JWH26kX5L2VbI5RNtASGiFobGAVsLwSEvKe187KieFKapNCy4thSmb5bXAZ1t99K/BDTQVNh8RaRaxzUne+WPmLS4I3BjQg9tb9Oq1n0s2QjQ8ys+PMYBIk8d+iU4vLdGF9og6oSgDfiG3R9R/7CT9ycfP0Xu+Y5Xe023TsgyPRPQFQjfBfCDYQGwZtijBAwtQ48eQhWVCTc/tQeWJtNQ43ZiXCY6aIokUTuLYvAAf4kUzkj9NKX3uFn3xk9+gj/yb1+gP743oTlfYG72MIcsVARDBgEECCg0gOAqjTfR9Z5fo4wAC0LoAUEkNApJrGedU1kCcnrYdA3DxGBkISIdRMHMGEHzKMw6a2WRgo+Y++Td5ydmp3iRh1cMrk6yVGnjoUFpp65ZhufIzyuTgjbUuGeCReQI0rW3P5FjNvDM1lQ4J1nVRTwKvqb2Qjck31hhGaBuzTaOD8Yb6k+A7f48sY9Xt6LHqdtCWfkdt7fB7yb4NNzaJvnmP6NbWdJQPNGC8x+C8m+V0MODV5HDJBiQBMEA0zHb83URhXKcf3B7TK8PBJAoDwpZ5kCvyST+T3yWY0KBD+jbZ1lcCiJj1l2Xk6d8WdaGdsTudCZn07b7yZl/Bz7yyy5bhMiZCw5fSWzp3ZtqLwdUteu31D9DN4+pgeTwBRJYUammBThZ5KdKUBm+6QD/8nav0o4+doT/TblHP+DYINTpyPkxlkMT12lln0FrIbJPIIQEAIRkOHCvlPRFGKApnS2gyTLhodvcFtwlQwsI410aIVWcA8c179Ozvv0K/+QdX6beuP6CrnRa1tfqTNQg2WvU8GghZnuuPUxr02vR9Zxbp16FJ4TGa/A2ZdzrqIIskTnJswuAoDOnDYISACJWVkRcw3SAlNoACfE74dwMgBHOHFghMXzvCSdMS+sK6IZU4+gWok7lBTP0MyHAfeGbTKmFu/D+XlRob/ozIFYSwQhAaEJVF6EBook/GGlvZdYsScACccj+4IRLPp+5qQFp1sRNAI9j9QWcAOoAcDbTkXuYyMPdxfd7bMENhD3MZ7G34zcjU5xgn2pVAACAVZjOurwEsAAXq6VBoCdJ5L/I4MUfUkaAQpkIJUvHeS/8d0AsmtsGItp9+nd79oE9X2uPJwUZqInwRULJsTKSUT6BK0AFeEOM/Id/5ImGd2f41pNEOjra5hMCATaMRcwkY2tUOpWZcKjKEQQSPbWNM68/9a3qVPpTgMtMiYuVQlz12AOLSWrp85g10fjSipVaLxvrU7F3NIfW/8yL9+FvO01MPLdPb2i3qmBMzcjMkE1W7vL9CCnkwQZn/QZ7ObOAhZ5wZCIGgQM4DCB9u0/QtBNTOcMLkWBgz05NM0AimCaNOb23Ry1+6Tp/5xNfpl1+6Ry+sLFAWiGqEuxEX2p8BdPKZMCQtuf6wRcOVBfrelS79BsJPZRgqwjqZi8AZzYwxSyTFURhwikR0BQsbNvkg9FVl3DSCF8IXQsKccgRggUDOgVd2NTg0FagP7Yj0oJde9HK+MEEBjPAz6csCACPzX0ihKscswQMLPr7/AzZ1CG5uj+fOZVlbwzSEWUc64SLcmE1u3BY0aEh/ngOidFeQI7QYz0BH2Pbhs6KzK2rNg0yeBPCM/WyAXOazgjthJJ2lIAadUQd7OX+/LFwNzrj62ncAJZmEzbSj2sB6IokZlwFgAJjEuHCrLO8nAFjto2PbK7yHRyPa+qPX6QcZQDCQB3/y5WPR7+eIBVtEYjef9kELaOlTgbEXjQKx8VaXoNaJonyZKG3t2gCGz0ySz0mFi2Z7yuwGW2goI4bOiDht5eZrd+jVmz+f3D/UiKDg4I8RgEiTR36Rzp5ZMX4LLZdAdNGPBWV/RNt/4g30ge9Ypb92Zoku8+aXAk0yNikwmJGCASJZlDZj6BwR0v9BpmrmdgFQWHggCyUcEXFK43LyhIvQUh4vTkfM+NiR8u42XXt+nZ7+1efo77xwk55JOtT10QfMib27bSlsbTTkOkMO4+zRdy926FdTokUp0CEIkYwLmSalgOFMlBDykoHLUFiZV0KPAwxfh79C8PA6QQgbnxYlAFgwsEDAGgJQyPYACOTJHMLJJUSQrwNaBbN24pQPLQs0JDxGqL1lplGMzfiOZGnVpYYGJ3GYdFBXaxls+Tmk6SbfWxmBkeQsA6S5SQiAQs4bp3btBGs0JyKUFyfyXCgLdCIBFT9nekhTlHYclvSEFkI6NuJ9gLbL7EuLZgt7FKAU+xfmNxwWJPgzGpQMxDLQ1VpArAkA4Til21+6Su+5N6KrbEqU6eGZB7neSx1aHSsHXAcADS5CgMIGWELmEfMOO+7f0ZEj2pchpN0oa8Ioq7lod6jFDpa3R3Tt5f+Mrh0Xk8bxABBPpe3Hf4DOLy5OcjsUBQ9GiLUpGfRp612P0f/w5Cr9eG+BTkinKHmSAQPhkxsLGzhfcXkpbLgOCyqYF0z2ROEMCLCg1b3wDYD2QapmpVkEpygwJ2hHwCgxzq0+3XvtAT3/f/0x/U//5gb9y2WinmZANgaBuPIYRsH1B2MaLbbou5a69I9HY3qok10+Bl8GMGjpjAomzYz3kZMTzQT/ASggi59OJCVBWy78lGAAOIHAgTkFkS4QFFJVLcNBseZI4MXP5NXiRihm6YyRMEierqVmA5oTmFTkmLXznfbqhzZGaiWk5kX6XhjaCfMN9gv6N9EviA4SCdHkWHOhnmlq+DtMMgY4Z3kQjGYnS7cufR6kKp+7wgmeBSy0Dhin3IfabyLXAGR+Bgj9RR0GAWgP0TfQckDoy7BpgFJoG6SvjJlXZhpEOZgpeT48B34vAXyYhgAPAPLy0jysrwRdrIDZGdI3n3mdfnI4pmtGRa5yrriAQWw5XT8WQOh6PudOlI3hC7b5+O7f0WaUUDinLXGWWT8R7hkyh9jGqJNqmTYzh9d7m7T+4u/Rq8chSuPoA4i1tPvEKj200KUlCRxk8qPYl3I4ps0/+yb6X7/zPP244J1GIyBP0HCqgj8EQIE8YXKfCE9kxqPBg/SBkKcx/l1qGbgdnHrhN4D5yEgOaRaQJy3zeUT9W9t05f/8V/QLT1+h311a3AsgJI305Vou26guxwCi06E3r/Tof2sTvbXTphNgvgAK0OhI4QPtyqWTu46NUL3LLH6gKa8HfAOkLwr60OuNPvEcp0L+DkYv7fK8jjhVagHJglhfiqYFJgAH1NsOBmV+BriCsASYlP4eGD+ABdcDCJNzgv8HgA5AAQQvtAAyCmYzS9GO/S3bxpigHMg1A8J8gvXRpgLXnKG5kRoULitNCHhm9kjmz5D7nGQAXI5FAkT5bvBngG8ZNg1tBj/nfYQQbGgPoCmRY5QhnKZedh29BAjIAYM9L+nHbQ5HdOdun/718zfpvx0M6BYLd/Yxghkx1t/Ixc/2gIAsJFQ6Qef08aS194EJ+cwXCWIFDp4QVZTfoxlx+GD5oi8yPmGVfQAWOheEa84ujUV/RBvHIQ32kQYQF9bSE+fP0znKVPISpcuXUm9KlNOOg4OUNt/9OP2d77lIfxWqbjBoGfIHuz1CJXESlSmbwYglOIBTGEJAwXRzpy9xdwa0DzhpGv8JFYXBjAqnH2ai/JxBjcwVwfXZtnd3h27+7S/Sf/n0Ffr0YmdiXqj6tzPcdbzsdSjpJ6zIoYeXu/SfLrbpL3Xa9Ig83UOtLVNzQ5PAY+HICI6SgBbCCFjpYCjUzlLNDGdJ6YMArZBUfXN70GhIPwMIaJxWYdqQJ2CorwHmIHzkOKAqz+eZaZykOl9HZ3A7UlDJU7Hcc9AawByCfYlTM9rAmsrTunTq4+cy8kQCNa3ih9kNgAvfETrLNAE9zVqJW2E1mIY/A+glATX/JkENnsGMw8BZaosM4BCaPD0/DfhBK9SR+x59yfaYPvw7QKV+X9F/DuyyscgQa9BIapw2+/TCjU36Z1c26O/RmO4zX5JmC5+/kQYXkneFgIcrX4R+/9n0y7/5stRO0U6EoNp4iS/nji3aBH4YMdoWHGpcNwm7Dj35NeMqIZWZtyV81aW96KTUGoyof6VPr935r5M7VXnpvNY/ogBi4u+wskCnF7rUCkUU6LBF5C2Qi8bai/6INn/wSfp777hIP9rnW/bUhVgAA4bpZHkeckae3ciJEyvalmpZnBD1qRYnKH57c7V5dm8EvpsNnmknDLjIToE4PeVtJETLWbY8aePfGdLG3/pD+o//6AX6590lWqpjw2oAwd/bC7SyvEB/cWmB3ttK6PuM/Trbhfw/zDkAPkY9n9GTwyovLBOdWNhNfY0TIgsv2Jg1bSFcoU2Qp3h9moXKGyYRGXYnaQKhZoRFduLHKT1XbWcCUwomaQLhuhJUopwEKNwWQBJMK7bcFvI0q0ElQJgcc35fS6ZK0yaTqb0vHBwBKDB2eXGZFJjQZsCXBSADmgRtypPhn/AZkYJYauSwZjLCyAA2kRZd+h7IdwQ0NHTNVCcyckaulY7kMe9yRhjpMIrfzbqJ/C4a4GGfSI2XpPOtLfr86/fpI3c26XPUpr4PQECbClCxHwCiqLkjZBqoA0BoPqUjRgAgfKDHBiZifSx8932wdmLIiad26MZL/xVdP4p+EUcPQDyVtp94F60mHTqpX7JcsKiQRP1i2HwkjA2fjAbi77/jIfpR9maHwGbGARsroiCkah4OefKkCWAB7QK+y5MZhA1sq0ZbkKltc61Exty5vg7Z5N+g1QCD5vbZFgvmBhUuR2P8z79L7/30FfrE8ngvgGANgg1USJDAz2U5G4Dg52mLHjvRpZ8ZEf2VlC/GzLQjRihljmYM0OBQCYbLz072JiACKnqtRtbgQdIXkQrSNwWnaqi89Yldh9yxEECoI9ZMCgoIKwgoKXChzoYjKI99KtrEkkGT24O2ywY+YeLAvHOHviwaB33Bx4HbkFoXCHS9tlwP+xqCWfor8Lik+UCaMYxpIVtTOH5qR02AAwhsCb6l1kb6KMCJFaANJgzpRMvPAFqQA0TuCenfInO4SC2TAeMqs6n0d5A+OtJ8lPs1SAfYLEwYQBBgQ2tv+mO6d/0+/fJrD+iXt8d0jTPCyrsrIBjBq5AxFloBybO4jMwoCyBiAxmI8sAzl2aWtYc2TQb377snR+4r24VdNp5i6C+SNsl6IVCC9nxJt7iMLUx1aqyZaSSkwQgBDW6TzSKbA7rzjXV6ndaSoWvOh/H3owUg3p8ufNt30vlubyIANRCw2frMZo1wVPIBCDARME5mMMxQDfMTAlsnUkByJ3jNS8YFezYzez7lwU9C5n9Av1qLgZA8edKBqpSZrWHW2W5F/gIWZH/zs/S+3/kW/TYDiGRhOu9DOnBnnCyy8bndbpsW2y16V4vovQst+oFuh1pMC5fQhTACfR/KkjwhUkULRG3/h6CX0QU68kGq+NGuVs3ju9Tw8G+s+YBQg+Me/y61KxCYWAeXXwzGwcIPQAcAAgBUrrfUTmjBihOvTeUPWoA2WEPtwMq/Sw2OLYpCnrp5bAClMIUA5BhtUpZt1bSbvRAoz0AbdEK/MlxZmimkRgJzgIZFAgqpYeJyMlICIN+sSSbosS+k1gL7C+WlpgtzQriujICRc9EHAwAus9fGNLizQ5+9tkH/6N4mfZHzpXBdAHADujOBhnTV2oEZGRiNwGpToqMYACLku8r8EVEe+hClwcKgn2fWz5vgOqy9tSWPM3NX/gkaaPicLGX0iY1Hu3wUfL5ttkgSbltnHDY0zPwxuD2XOUWW01oMTX/OetknevDcNbpKaxz1eTT+jg6A+C/S3pOP0/l0kXpA1TMBEI/Rh95xkX4EGggwGpkcSoeRwe8AjJa3DhwsobKXDBXMEUyJhTuXg1oWTBDMC1sRpyYNILTgAcPF2Jnp8WVVf/Oz9DO/83X6zcUOLWsAYdvuGlTIOj7AweVaROd6HfqRE11630Kb3thKKIEWB4LXnL6Hk5OwsTtnZho2ZZxbmkSwSNW7mVc2UAhonW+AH2s1vDw5yhMxHBVxaofjJKJgZBIn6awJQKGzEEq1N8bJgBCneRmmyeNgTRGPH/kTILi034dhsJkQlCGF0lyAeZt2s72EcE6sLc+X+8A4ILz1aVw6NEpNG6IopH+QTWhDc4Bxy9wd0gdEO9hCCCOSRZo95D6QTpCGyWf+CpLO0DzJNZZ0wLshgYXUIAEowa8FWhqTxEskeNMhnqiHPcjbemtAL7y2Sf9w/T59YrNPd6DFkwDCBQzyd19dmGUDEBDEPkEuTSI20CD5gMt84hKN3K/0o9A5LvK5ZAc6jFPfz8P9jsf5qz65/jtLuOUCEPy7rJPxYCP/NICQd4mYg+NgAp5cAAT3i8RoK7Z3aPNrA3qdfjbZOgoQ4kgACL7Potej862EFsqEaNo0EPybJYpg8y88QX//ey7SXwbT402Q266FOQFCWjvu8e/MZJDcB4wP/2NTGU1BxojyeH3ljCU1DIZRZ5oFI/CUd7pMCw0mDUdMhJf+j5+jn/7MC/TbSxYfCNvLwagbQAHgAeUkIucyGpBwOY7IONmjpxZa9MMjom9jOWjGnRHBlvoSY+X7K04vTuYswwBBPwhmaHmMAGW/lXRyYRfTFzSR/gNyPSH8pHMgTvVSMMHUhLHgRAtAI8EFhD+Pi8tvDCbjAljgOrKMdCZEdAfPDaYpgCv0jbnIfWRCM7McFmZ+2UOpuZGAS4INbTZB+CyXQeZK7DWY6uCgyvMC7aRWR9NVJmLSphaMF+Y5OWYAGwBrqTUA7VEfJioAN4xfOkfKsGdZToITgAgjjKG5yLQu8r2CKUxqiKQZxIxrRKP+iF68sUW/ees+ffz+mL7lA94MLLRZEOvMv7vMjDrXQtGMkmavDymJcZ50aSPMfLOokpi24DwKfzRoRLQmRZtuQA/t96YTBsaGmDJo4ISDoIEU+jLFuJ6Tq32m/WhIw1s36eqNteTBYQcRhx5A8BXcp3p0ttvbRaRFF8V23S3/pu37my3aes8T9He/+yF6SgII7k97dsM0oB3rjFo6E/AQVtIZM7fFZ+WgLgdTZyYptRbypCSzOwJEgBYwEUhVvfQ92Nihwf/xBXrf771On1hSPhAtEU0haTvO/CJ8cdvmxVMqVbTBJ4Julx5f6NB7OkQ/kiT0bUmLOjKbJwQqNqqcL/tDrLBDpbqhFHTl/wEg4NjKDJ21GuZZdueIjKDA2GQ+DgANCDp5SoaAx0k1n5sAlgCAvCbIgMkCCk53PB6uL9dat6NV7LlTYpZrQtLFZsLRKZVtTonw5YApwOYoKAEUvwPSKVRHVmjHTingpeDGPuQxbg52s2nivZI05rWQibn4O49D5tEw4GFy26z5k6BKgiezT4TvkKSbrMfrAuAA0GScRNu7jrsAcDpkF++zGVO2qMa8OaLBgwE9e3ObfvvOJn1iZ0xX+jt7zQRFeZksbwMUPqDh6sscFBSAiPV70G267s2ZGrfoj30ypPBnIGEDIGa9RBioNldrk4jL783mKOrypTOaB0ekiS+ElfN7MIjYvE83vvU3kttV1vig6x5iAJFdhrVAp20n3FjCapAg6+lT89YWbb37Sfrf3/4Q/US7RQuyLISeVC/nwihLMgPnRYAK2HQNsxOOmGCAyHgovcTNiU6sGkLIIGjBsGDGkGOUGgvp/d8f0ejWJq3/3X9F//nTN+hTrZR6S5nPwxabG4aUAizI9rgMP0fZWJqjHNN3kx0vU3p0qUd/rt2id7cS+v5eZ3JHiQREED6YHwTQ0gLRyS7RmcXs9tMsAyNOv9D0oDwEA0LwmJ5wUpWnSy7HZfgP6wX/BnlilhoCrJu0mcuTr3RYlOYNOGZK8KidRKUAguAz0RiZCQS+LagnBRnKyzblaVg6I0K1j/5sic2wfugDZSGcAaaxv0Ej+IvAoRBqf+xVfg6Vv46oAfAFGINZB+YlCQxk3gdpbtH7U+4prbnBGG1aGmnmkkDMmNyydOK4UVeCEvQxGNGdezv0BQMedugL26zSnsGf1Ga4TJKyjHaAhsYDPhi2g5Z5T0eUyrDJKe2jBXhAuzt1nbYwW7gu5JPOoBpY8DhC4aqaxFJL4XIe9fnH8TidmgZPCCvABdPt5ibduvrf0K3DGqFxSAFEmjz6v9CZlZOTzJL8cmjVnw8YxL6rNgDxbz9B/91bztFPnOjRBTD8/AScNcxMSzI6OMSxn4EW6FD/Qvjg9MffYcaQ2fTM79mqGefC7O4NmZyGwYzxu1CrawMQ/NvmgDav3KcX/9Ef03//pVfp99s96pq7zYmIBbwLQGAuEmzE0hbluO2kS+kC0dneAr2zk9Cf6ST09nFKl9ttOmeSdbYmhzdoanQfABEmkRbfA8GJpDL1OfwRQAsIDai9DUAQdJLOcDYbPPqW9ncADTNGaASEqSB3/uPU4Zn2CUJI+jXI5FCuZEX6NC1P8hIgyPTJABBTey9TwUsVOzQiMrmSvsgL4ABOmFLzIoW4zEYpNRHSRwUOlRKg2egLWsucFPBr4PISbCCaw2ZGwXvKdeAYamhjuRIev2N+mg5Sm5ADP+GvIqNdhiNiD4UHWyO62R/Ra5sD+vLtTfrsgxE9TVv0gP0CbAC9jKlBrnFdAMIIZ0cUFvqz5V3Qv7m+h3iG1Djo0FZdV2sepJ+GzI0RugMpBEY0cPA5jMoxal8N1sLeHdL66+t0i9YSrfQLkebAnx8+ALGWti6doFXt6Odz6CtLZYvdf+etF+l933Gefmy1R29rt6kNLcEUEMjU43CY4pBE/oMZATZy+Ecg54GxN2ecCYyLmSccs6A+hV0advOpU2N2opahgrDVSjpAXc1t3dqga1+9RX/0sefol55dpy8tsC+Jw2xhoyWYX5E6uh0GEemYlnotOt/t0DspoT+3kNCbu216Q5LQ6cGYFhYSaiFHQsbUqJVpbtKUkm6LkpOLlCx1KMGJnMvZnOr4d1fYnRSSOGXDu15qJWDXl3ORAl1qS/SlSmY/iIvXckacOfxBKGpziTzlAxDaQAVAEYSvNLlBuKFPaZaQYaB4LoENsilye2xuwDz4f9CI9ylMR0ibDS0DJ+iS2h+uh/0cMg1JcwN8DPQ+YprifUKOEDM2TqImUmXDpKWjNMx+ybii1B4hVXf2LqU0pvE42Y1U4vFkCa3SjX52V0mHRuMxbffHdGt7SN/cHNAz9/v09GafvjLcopsbHerbtHfSNGj2KS60E5rAUKIkrlcUgMRGWknNhI0fSOdPWyg36oRASf5OBKI55Bi074NNQxCThVgCAh3ianiPZ0z83JUzw+ajx2W3RnT/5Rt0/bCBiMMFINbS1uXzdLY3pBXWDrhUajGAQTr7ubxntUActGj4+Cr9O29epb/6yEl69+kl6klhA2ZomMwEtRtmxACC/8H8AJCA8ESz4ZDPP3OeBONHGdNOllYXTNs4rWWJhsDAJQiRgkX2rZ3Nrt6jF75wlT75yRfooy8/oBd7I+qwQHfRMe27QzplPV85tK374TqdDr1pmNBDrdQoBxZMrqOEEhpP99vK1IRjETPeYqGcUhLjEWMDAMG9Y3MM0JV0uIUt/ELXSTN6T+a5azC3tQ3BxWW5Hv8v0YCROnt/H2X1jOuHrCP7kGqElE31GT351J5Q2k4oMXTLnpl9x88mAGIyDj3+7HtObxcNbfWMRBcD1E4M2WPr0Y1/BIWydkxTYpwAAa2UEvnZTCOjFz/j72aO+B3rlQ3NKJY6dKed0HVcR82XK3H2+7JwQwAAIABJREFUwlZKo/GIhgOindaYttMB9dn059prABUMJOA/xLwI5kL8bqYiwMWereLQGrhu0YwFHCGgAc1tqFzwXcsKaKDhuwU0Zg42R+89r6Pwp+BkhPxcRqWEwl5tGgoZNpvzP2G62SB68PJn6MZhukPj8ACIp9L25T9LZxYTgnY9f3l4MfCixWwg+eL5HAA1gOj3aPTwEr3tkVP0Q289Tz+5ukzncRsmMk9K50WcwuDwZpitYIYyagIbCmYLCSCkEx9CHHGiku0BzGiAYObLkjjz/De8VJyyvrFOT/+zF+nD//IV+p179+nmsEPtgwAQ7U0aDxdpZZTSo+nIYKNduSDSyBpaIdVsm9I86YwAErPM1sLpCtD+QstcEpbw/y6GyM+5TtIyWpb8nePvqMPttceUDFtskdudN9flMrL9YSa8Ur5sKaEx/6/7xu+2ely2kwlRPXb53fSTTMbOf/wd9TAG2S+eyd98tMEzzDFWoBQpl48dlaRtWuwXTgiUX9fssF+3+XdLimPTNAOFEb0yWqC76TYl4+5k3VZ2Jv+PFyhJ+V8Gvm0mCwxRAoh82ApAaBpIgIFnrj6qAgi0bwMIsaHcRdbQlZyO2/CBiz3vhEog6JMVPofMnL5CC+Ezefi0ItLHgk1Zm1v04Jt36cZhSTh1OADEWtp5eJXOniDqhdTk8qXRZW2qdttL5uqDAcQy0cOXT9E73/4w/dQjJ+lPLi3QglTxSsEswYAEFtKhD+VhUpBhbzBfQDpIdbr0uoeJAgACDpmwZQMwwIQiv+8MafMLr9Enf+Nr9A9euU9f3dqiHWZ08uVLBpTK3/CdmaHWOOA7GCV/5/LcnmSgaB/luQw7VY0TemSc0kkWoj4QkGenE8BCZq8rwqAqlWUhxIJFCKM97UEg+cowfTrZXQNDAZx8ddGvTeDFjMtsBDX20FyKEsvXnm/8RftxlHdlP9R7JSrb4cjhdc8AsUXbSYdeZBBsAwwakI/G1AKfYR4kP0sgsZPQeJE1EcJhmYX0dmZilM/gqySdmyXP0w7P8B2DNqTHWSUdl1O1d2gseaUM4ebx6jBu876LbI62dkMaChsYiU1w54pAsYEOvXW0EyiSdGmnT1tyLtO+uABNf2ctBDQa/EzfWcJt7oxo+7BkrZx/ALGWdi6doDPs2BfiKdqeqNWE0tnP9lm3r+u3WzRebNHiUpfe8MRZ+uG3n6enzi3Tk2xrZULCGQwC2rxY2ckfmgo41Mky/FmGgZrvWfIk2Ieh3ZXAwTCqLP2xNIdgHhJA4Dns/hnoGF+5T89+6kX6vz/9Cv3W3ft0SzM6CH9JmxYL+wxk2MAGwIKZ/4BSLi+Zqm0dmbbbIzqTjOkNoXU2z0eU8Ck7qqyrEISs7XnoWUTHWuNg6JFpHaQmIm9KgAVvOdV3kbK2YUtNCI9LtsefoW3gbHoR0y5exKEVAL0MrTRI0mBMAi1RNgcGNvCm+7XVU7OR2h7sP+6jPaLrC226icB+1jxA64D3QDY1JYzY/0eYBaXQN75BfUr0wUgDdR8I4X5t0VQAHAAvDCBk37JPBjKSv0ozipyXNivzd/QTqx225ZZx5bJwReChjSLaCzkPmx+HTBWgM4Ea/ibAl85Pge+uzJ9cX+a6GOzQ1vPP0XX6UJJ5GhV/rfajxnwDiEzzwE59scSQm9wGIPRvNuSPvqQmAi8yI/7BiDoPnaIn3/Ew/dhjJ+mHFjp0cWGSfz4HEToWH6aG3DFLJZ2SMfgmrC5z+II3vskTIDz44bSJ2x+5PG4lNOGI4nIt9Il7FzKTSrq+Ta998VX67U+9RL/y6k36Bvt4aDpD+G/0dtXtUMvyb0siIxzKxq4VQAX/z2GxgxG9ccxr7TEH5G3zXSQx5YoMpkJZm0ofzbnU/lLl76rPZfSzPfVAB+UjYujIp2Nug8FW9llOk39n1X2e038irCemFfk5+67nYpuD/s333UbyqfmKOeiyspzNfMLlJSAqsryuetoExd/bHRqMEvpWd5uGeE/4HeHP0oSh+wf4Zq3FaDnTPmWaOAM6LNo7/KaBe4y/kVlC4RehAYTtmRyzL1zbZS6RPNRntpH91Okg6otE8WlA8uRRIlmeXj8JTpArw6ybuBrB7MESSbg4RbjRRDxD1+YZRMwvgCigeXBt8lkACH4J+LS8kNDyG0/T93/7GfrLbzhBf+nUIp1HkiiMR2sNYJ4AuJhK/tOaaBPY2ZL/N17d4m4AeHkzUAAgkGGaUgOhAQTABtpg6bC+RbefuU6/+9kr9E+euU6fW9+hLYABqWEIAQictHjOZQEE19tZpItJajQQTl+CWAEgbfU2oaOFjU/4B/usCcToy4OC/WYFvPRyndJ3N6ih9bBNaYdt+4Hrl6eYfGRZOBTGzgflrPSQACmjO8qZhD4aQAlfDx/44GcuABIaNzv4tlK6sdOmmwANXCcGQKBtvG8MCmzmQiOEMv+JGACBw45t7D4AIQGGLXTbp+F1+W246OcDEz4AUUSbEetkbwMSMQCC5ybTjusU5Ji7vMtkD4gUzpoyOgT3jBhNxD26Nq8+EfMJIITmIZSDIH8JM5tgDMoN+VHYNr1WGXKZ5QXqXjhF3//kOfr3Lp2gP31+mS6v8Pk5izM3GefS3egLpLCW7UufB46y4Ds2zMbkaAJOQZwp6VFXgg+kojYvfiZ2pRYk12Rkimfui00p97bp9peu0x/84RX6f798gz5/9w69Lk9L8jO3LbUPmjY4YYUYret50qN01KLl8Ygu66txbVnepGCB0xtOz7kTHPtFZM5uU85xPAjxLB+TdtAsMJmiAtIl8MveVLhHMErQoMGNQ0ORayqkI+HEJLeHP2iaS/2qTU1o07/KcnreLtLrvWDzYbDW9Tg95uVHxodh14nS0pCNFuz82UpomLbo1bRP23CclNVj3w+YBH1bDwADgGKKjwg/JYAQaX6ExsKlqbDxtxheqsfr0wDLsjHaDMmn5WGQ62p/DLQtQUOs9sNmWpGRGiFnUd23bs+VrMusozB7yLEbfzD4kGzTzryCiPkDEFmo5kqfFl1ZEG0AwIe69Sb3RRjIstpJUD9j55pum5YfOkXvePw0/buPn6G/eGGZ3tjtUNskMxrvXrHNgtuWFRHpcBkncEpjjrKANgG5HOAHgVTH0GwgZBP5APh/AAiTSS9LXMSxkHAW2B7Q3Rdv09Of+RZ9/Cuv0+evb9C1nfZe00WsDNUM0mbqsLWFcqz1SFN6w7hDK4l0HgwMgE/Ne9bVor2IEVA58AgITfRnEzYx1/pyfdlXLI11OV/Ehyzrm5cGAmXHUqWeLcIE7dUVmRG7LrZ9IkGL0dDovxYloxbdH6a7mSRb/d19KQFF7HsigYTUBIbobNMayjrSZ0k6NbtAiAYa0sfCN5Yi5Vzt2DQd2tSs/TH2LE2JPDa28bj8Nlyh/6E2bL4ZqCNzZrC/BaI3GEgM+7Tx0u/RzXkL8ZwvALGWth7t0en0xOQ6bv6zaSBmASDkS2WLMtCqRYyPf2f7/fkVevvjZ+nPXzpJf+KhFXrL2UV6mMtw5IRMl5wJEVNdAwUkwDHzFgmkGEggosM4YWax78i6JzNMspkCWShZ+2HqZrkiXntAr7x4m77wzDX6F196nX7/5ia9tpVdFBNiUK7nMYxRazS4Lf6NmW2nTacSooscLw8BK5m+tM/Lz3yytYVvhubhC6VEXdi5XT4WttBEWx3tKBnrszHlk5ANyiXwp0CCmrw3lBUAzHVCtxBShq/66BxbLnsHch5kA1dSu+QDA7GAyOq8qkNsbZEp2YT1GJIWvbazTRsMFiR44OL7DSC8gl1FVuV7PTObyLrSXILfZdSITVsReu9sz10aDh+AMHTtUOIyp7AjKORG7JhizCncVhHQMEVPoWUoCiBg1uC+b49pc94yVs4RgJikp146QUsIUcqFtEhq5NMKxG4YbgOhOagjIwXkZ/ncpWZs9SjtDKmz1KOHLqzQ2x89Rf/W5ZP0p0526UKvTcudDi332tSSd2BAWyBzNkzl8M9SIuOeBrOBE3F5UZbJULbJAASmDvhH9Ie02R/Rg/VtuvbH1+izT1+n/++VO/TV7R26B49xH+PjftnnQ8a2SzrrujFrAGbb61CbU1YP29SF9sEm4KVwtuZRKOA3wUAl96Tna4CFJiPlyI7su/6s5yXLyWe6Pf2M2zVryeMQ/en2US5/BzxmloFn/gsWM4Qsz8/5O8rpz3pcspx8JvuxtWcbo29suh9Z1rY2tvWQa5ELTAGYsAZYD/7f0F2HzloARRYZsj0e0tVkca82jN8XSR+beUM+l47JmuY2Mwh4kfQ70qbGGPOJ1nigbxuvgxlER2bpiBIfD5Dh3S5zik+gS02Evq9nit6B1NvyYKrNLlq74TN5u1ID2MwnCH21Xb1g9qBILsZOlHI+uATt7jZtzNPdGXMCINJk9YN08uSIVmzmBZstL2esWYigefkt+Qtsm1naEvl5Eec/F4hgIcsC+USPTp3r0KMXlumJ1WX69gtL9JZTPXriTI/euNKjRb5xu8O3UyaTXE7S/ABnR5NeVwAIqWHAfJAUChoGLmPyRKST1P58w/D9Hbr52gP62st36Y9fvkvPvXqHnn31Pr20PaRNzsGe0zBjgJrp5eCJAUSXEttzzTxlGTzj32Q5fE/6dJaIVr0nc58jYPbMJihigEyoDISeFnRSQOo2bM98Aj40Bt9zaGB8YZy2Zz6QtgcoKT8K1wk+NA/t32LKszPEgMh1o+EewS468QEZvW74LgFDkTW18pCRMV9cb40pv5KZ3xEXHVzvVi6ws7raBMLfdVIq2YfPP8k1lhhg4VtPDV4QQWLjybodzaPlcwkoXCZpqf2A8Gbeu6cfT7Zcs69U6GwM+LBpPWw+H8jDgTZtmUVd9NVOotr/gh0yN+7TvW/9DbozDxdwzQWA4Cu5T5ygFVvOAQh45+lfAAhdpggwsC2o7eV0vXyy7GKb2nwb97lFuni2R0+e7tGbV3r06KkenTvZpbMnunRmqU2nOx062UloebFNvcUuteGzAMAg01jz+GRoKO7gYNAwGNLOKKWNnSHdu9un9fs7tH5vh27e3qYrr2/Q1166Tc/c7tPVnXu0vb1kMvJO/SWZ3VYyQPy258X0MElfu7I97odv/ByldLETyC2gha8+6drWTZ8s5WneG7WQCbScETpyNtjyO8g6ZU0XISG853mE5sV1Mp+iSaYNCdGy8PhkhVBCrEqN71bWeSyMsLBEytjWKP8t8/LU2iLTVkarTov6owG93hnsvk/j3l4A4QMVtin7gIbUYtg0f67nWvsRq+1wgROfRqTKMtqS1e3hKYLfW+nnMNVwWan9cI3TphWJDVG1JQbjflAfzp8+jQacRTXo2MOH79O9F38huVuF3nXUPXAAcWktXe5eoFM+8GAWwbExNEhwqeTKEKsMuud++OXmEzc7gvZWaHVxgVYX23RmuUOnV7q0erJH5xfbdLbbotNLXTrJZo6lDp25eILemV8slOVxyC/eahPd3qKXtwZ0M2kRX/nAF0mNhmPa3hzQA3aO3BrS7Qd9urm+Q9fvbtOtjQHdWt+k61s7dH1jQNvmJbIAgFkACA0Y9PeFlC6Mx7TCAIGZ8kKmWh6Izzxe/o614zL97AtnFZPPou2ToYyREUK5zF6qs06sxqWs5sNnPvDNI9ZMUZUWNtOPNvlU6sNi9tFZFTsjutsiWh8LU0UDICpRfUqD7PM58/USo+EomqY/BkCEZq7bcEWhaACBdkc9oTHOknPdvkd3b6wluQYsNIZZPD9YALGWLj5+hk7ridnsejJHgSxfxu5nc+rTY4CTX1WiQ3UPAdra2RWInYTGzHTutWl8oUNv+Im307OJ45Kj0z2iX/sa/cy/+AZ9ZHV19z6Q8YhayQ6lbAvgv/UeJWcYcDkYGwCES8NQZL4+MCLnyXPE99YipYM2negSnevDHu3I+mjuKRkQG1v27FMd/iSzUvoEjBa+MYLHZ0uX2g6mne97rOC3+T/I0zCnzc7B08jcwyEv0zKAyzxnHwt5n4hYXF9WwIVMKzRIaIyMewB4zv3BvhSifF4PGqZIYCZBoekr2yO5r8YkNLqV0xLtRualsGkV9LpZ11vMo53QcGdEN1ZGtMN7W75rmj6jk1mCKBGdgTLyXcTnKhoItAsfI2lCdPlg+PyfXM9kvgv0KbUSvpBUm39ZEZ5jkxWyP+mn4Uq2FQIQOj2/77qDIhF9cuxSK4HfYy5Y0/PfJFq/8rPJVhUaVql7cABiLe0+vEqnGRhwJEDINBB6btvIZTUI3FYZ50CMgV9czQhsjlYo375P4xMn6dKPfTd92QUgzi4S/dOv0vs//SJ99PJ5WpGLzvWZkTETYmAQY4qosmli6roABDPUzoAeGo6pGxKoodA6VxSGFuIQEPx/mdOrrb18rYXTpY0uWiD6bgKMuSXQzEVdCuRcj0ihvad+JozzVM3sRS4S3pjyNtAnfFJyEOQT7L504Z5NFpsSmZtgTRW0Vvw9CIRc/QqatFq0kQzpti4qgQQDZf5u00rYuogxdcT4IJk9nh0etN+R5E+ynByPq86U8LNoMcv4VcTkvtC08pmldXsubYRL221oYtF028wascAB49dtoD5Ht6CML+eRdsrk7xxxwvczvTyi2/SBZCeGL9dd5mAARHazZndIHd4QPo2ATA1rm7xPA+EDEFUAQmgR9hNAMGBgYR0LICDYYxlbaK5Ofis0LVIDMVyik63xrtbJFc0Q028IgLjaiBbAMYMIlOmrtLY1NDktETOth2F+KiSzLH2mtB2Wdp10tUSK+DQ8PmCm+5gqG7wVZ7d2d7hr9gKgsApw1nYFgJnRiCU03tmhm0udKVximpwFgNCmv1wgWUCCNEVqx2XrnFWkCJeJARBmrgpEzAuA8N274wMOOV0LOOIXeZddAMKWb8PWrs1vAuGsfAXBS3fo1kFkqzwAAJEmj/0SnW4PqVtFQxCzeD6Q4NMIuNq2RRjIF1qaK/SJwmcyYFPG8gJdDmkgfv1Z+uv//DZ99JHhrgZCAwKAiRzVCkGe/5adjmJoiDIScEjtQpE2+ivU6Y3ovLyQCAKWGX2RtrhsWeEcEhRFx+Erv5991TJuBjwl1qKWvmfQSKy2woCDCACR7tDWTodur2agnYfsAuU+04aeqgvQa01ezm8yAS75ih6HSxMZo+0ILYUrrDtUTz4PgY6YUFXdnk5kV9QnLtYRv4j2JMY5NF9XT/SINq3kvLlDyTihnVdv0m1aS6pdMFhkATM/vYJVqhXniIvTLVqSPgZAs1W1AjqZSwxI8Kn8fS+aBgQwH7io4zv5P0hofHmJLv21t9IzXhPGs/TXP/0CfeTR3rQJQ/YJ1akEC/lG26aEn5dZwSLM0NY3/5Z26OzOgJapw76ckz9WL7f6NDYx0m2OruJ0jRmY6LDjtPtPMnzY3G2lXc9sJoOQEClDu5nVsQl7aDx8IEBoRTRtQnQ06wiThgtsdCjVtJ36LtY3CFakBkfOSf8u5x1DA8uiaEdJ2xxGKa2PxrQ1XqLkzOZe0AsgwO9L6F0r807l73IW8eED8zbQj99s/hcubYdr/4ZCU0P7PjY3BrejD5uuKBQdBitBigYXMVF2RSJRXPP1ZRctAi589GRNRnuHNvc7MqPwqS+0KXzPH/nFdGnYoRMxQMF3mvdt6BjQwPWlU6PrdG07FcS8sDFaADkH1kAsnaHLIQDxa1+j/+hTX6ePPnZ614my6HpIIGPTXmgGxd/1fGSfPkYpafVgkRY7Q5P3Ye9f2VPvLMwDRQmqytuuM7ZdDhR7MnYBoirDlLcF7owoxTXC3Kb+7nzXshsGkW5XltO3EcpnsjyuNo6ZS5GyU/2JLIAx/Tjny3cTEO30d+hWsjwNwn1AwtWefKdc71BZgAHg4qtf1YTpygsztQ8Ch5UQAPGFrcb4d2iA4koz7vrd8D6L8yv/7rv3JAaY5HxWmEykf0cRDQfaYjCytUn3r/1cslFlrxepu38AYi3tPnKKTshTvW8DlQEQRSbOjoeh8rMCEPoFv88aiJN06d9/B33Fp4GYFYAwL4SIlMB30CcWQLiAE0eGnO7Q2cHI+LTN5K+I5sB23a4eVEhg+YRk2QnahLEVQHiAEwMA1HEBAy5TZPyx43LNW9JSj0nXkc/ls1hg46O9D+zEPOuP6N5okTZ1HzYAoctoXiLB+34CCK2hlOOMNVPC3yoEAEKHuVB931rGAAhffR84CeXbyIV/gZw4viCAmEyjRQDFSy26s19OlfsDIJ5K22f+NJ08oZIG6ZDC/Ywe4FO/EZRK1VgE9WsVZaguyuuTP4dxXmrT5RCA+Phz9DO/8zn66JveRMs+rYkrAkK/UHeyk5RmgPx7DFPUwMNWj39rjWilN6aT8rraskK2qEBFeSlY6+zby+Q6lFYVvqGxxgIBm6ki1Hadz32XErluJOT+bfVmTVPbvFsjGvVHtN7O+IbZ+0t7TRh4b2zvAt5Zfj/luyfBu08zoPmL5D/agTN27ST/i20D0SUxvhSufDAxdWPn4Cpny4AbatPmAC/ruIBLEdBhC4+13Smkr4e3+YTkYCbTZLAWor9Fw6tfoNv7cfHWPgCINLmwRiu9U+7Tp80sIF+20KK7nodskGXbRT2XOcPHBHQd5IE436NLP/ld9FWfBuJXn9vNAyEFPJgRj4t/932vOmfb6Uv2p5+f2KD2TofOLHSpYxPiPV2BVc7ZKTo2LmkxO5HbynP7/Dv66Y8o7WZqbf5cNz2m2uMbAQM5+Sv3X+DWwSlGuM/mH5fQ15oefUeNvGchH/+saSoIxXtlm30vhvQgTcmqGrYBCdu6SnAhn8t31gfcXVoMA2ZEFswYM6vs38d/bfPQQManvbSCMeGAiudFnM5j35n9ACn5+C0RLXjm08T47hgqm0GUgcadbdq+/Qt0b9bprmcOINjvgWj3dk3XhtK/H2YA4ZoL/14ZQPwGfXj1XbQSCyBiX7ay5TRgmWJMW5RSl04stWlZnoD7OzRmwcrM2Xea1MLEdVLF705AUECQI/ESjyv2dB+iHeZYV3uh/qaAQgaSYqIMirRbpaxP4+BrVzs55sxbrVVsPg2un1IWhz/ca9Yx69aZJOPaJrrT6e9NA2+Et0UTMQsAUQQouOgYa5YtogkpAiBczuTHGUA416qiieQB0cas/SFmCyDW0i5HDITQsU1TMMS1rFkYYkibEOP17EPdsS9WDOPUJ3KfsOf27iU0Xj1Dl6M0EBmA2COosx80M2uxEC/xF8sUddOyv96IuqMlOglhDEEKYGAiLzzRAjaTB18mwzfTSWEcEtBafe8rz2Pj5zw2DWBKkNFUCY2vbLu2env6qlvLAqfEKu1Kx8Yi7ci+5RXJGuyhzWx/+YAbNBy8R2y+MbwPFvrU397i09zkL80AQ5K9W/zd9r7Id0E+x+9l3jGXhsKnBcS4ua6PzxU1q4RMtrb96XLwhF8F6iC/Db7HhLnK/nS0CT+zRc7pMdrC7V2aDJ13w/UeSw2EvjbAl69DaidCNybLvuVdJ6+v031aS8w1BrP4mx2AWEtbq6t0glXYU8IuMozQZ++rgxA2TcAeYWjJoRDTdxkAce4kXfKlsuZMlMaEoQAEMyNmZGBqmlHJZzFj12WKMrkpALFEp4c7tNBeoBGEsnmRCwgNeVqVwlGeMvl3I/iFUMkFAvflASpahS5BS20aAyHQ9qyB71lowbK5eYs5aI2rg/Vtf7arhuU1w7kQHUzb/11XFJv1XqBU92Mbs+zHVn5qzI7oikTczOjtM6vvBXcZ7VoJbezc200cZQMQuaDLwIUPuLve19By8/NYAOECLz4TiTZ97uEFykzCQroIiHAdAtGGzUQjAUfokGfzCYmJNrH53hVNuBdrLrHdOyRBU/5+ZdoHl6NpKASW22EgwZcnvvpZujMrf4iZAQi+JKvTy03P+V4MaRLyF1HZlGLrxbyEXIYdF+ULGdqcse1yuSIAgsu212m8+hBdPioAghnkwglaTGmSr8KkRC4ZTueznecvm8vcwKfKgPAKPS+y7nWVtQlSmxCvq7/tIaWLmV8Bf0a7tt/0M3yXbehx2dp0jR1l0bcs53sGsMB08pUrCoD6LRomd+m+HEcsgICGguuijnkfApoL37ruJ4DQTtbarFwXgOD52u7uYSE+DwAi1kckBkTsB4DQV8DfHdPWzZ9PpvZwXbxjNgBiLe1WyVUQmlzZTIiyXVcEQqjvGFUho/8iJ3cGEOfO06Uf/256LuhE+Rv04fPvnM4D4dIySEYFxmVjZJrBaSYXokkO+pYowdxXtujEqDPRPlURfq5TpBayrj6k8Iqdx0GXkyl35eVAMxtXl1JCBjz+jD9PVrxCY5lFm2oARemk7zxw3f44SmijN6TBeKN4ptQQjeS7GCprhGykrwWXdWkgYvqxlQklzYppN/YQCDDhijJx9VU0Ki7nWwEHVNu4bZqXGG1HDJ0MP7bca+Sqa7t3Cb9BU/H6kB7QDC7dqh9AZKaLU6OJc1KssA/5SdiEf+xihMrZwhi5js1BMManIGQ2ACOAsF3YodHqSbr0H7yVvhYDIC681e+U6nzBViiVjLC1sissXAxSn7Z8tOSy0D4kXVoM0X2Wzw8KOGjhH5N/vwgddOa6InVJCvJCFasVtgGiKZBSFGDY5lEX2BEXKrVbNEzv0IZ8T4pQoi7QIYGG5B0SVMhDSwyPipmHC7BofllEcBY1DcSMs2oZW/iqDcSE+imTuMuVqjzUl3xuc0DVt7u2WjS+8gd0t25TRs0AIk0urdHS4iItFCFATNmYk39MOwbUCMfCEKp3vYwSJNhO+nosvtNGd4tGiw/T5Z8OAIh/8iy977Mv0IfPL9EK+izL3EK0Ksv8Bqep0yFakvddcF9akLIgLCpcXXWsv0PI2E7WcvL8XJatKGT1SdYlPFEupG1w3SgImuoagXKrAAAgAElEQVS5207WmC5y6Re5XZDL2m4edP3OfbkuDsI48Jzble3YxmXbp647AfL2s5h4TWNJK9ue0bQbEm0t3534PoxWdjUQ7Q27Y7IsE3q/5PMi75rPfFKkz9iyIf6IdmLzxsT26ypnM6OgbEgY1w1efP3ZLlYrMvfQlQRT+0doUIx8E5crGj7Rp3Q8plZ/RDs3f54e1BnaWS+AeH+6sPq23dNxnZuqARBEhwFAtFdpabhlAZBSTY7d36V0D5MXycbYd2KKqYdOmSWFP4S4D9RA2BVhAr6ydbbnE6hFrx2ua366HUnjWfWhAYoPfITAilmfO7SxwBeXzxGAKHIwqYPOswIQRZLV2YSlDQzMM4DAHEJOpy4zTFFzjoxqkX4Xr47pQZ1ZKusDEGtp6wLR8mh1937zOjZwqI261HWufmyOUPybT/3Pz4qcKphJxWggPvZV+unP/If0YU7MNSvNQ77Rhc03dj6sfVgY0KIWWr7Tqk0zgTHYhI4+veZlFXjwqs3VYhfVhIT25H4/T3q7J+J0x26r5zK2Z6jrezar+XCfcuyx/bjmGFs/ptz2kAYrOyYHWaE/rakoqpVwmRj1IDR/gfmQy4XMji4/KNmH1pj6gITP58sVwl6IqKKwzXwSk9Av1pTOXem8Fr6xunzpXCb5IuaesjQyc7AktsK8vvU03avLlFEbgOCEURt96uqLZjQRZAx0ncJfCvoqhHfV1UKUv0OVGcMk8MLbBP+1No3f3KPL730HPe/zgZgAiOQfX/xbqYlu4D+XOtU2Dx6nr3zMPFz04fmx9mE/mDvGUMkfQExEClEp0BB7jVtebaFT0uPZMG8hwG3CscjlPNyebh+/yXWQt9m6LhAK/S7nirZtfcc8k2NDG0Xn7Zp7mXfbtiYAL679Ot6gTWgfzFhOhfOpjO+Vc7Ss8t6BHhJQAEy4Dhk+kIJnNgAR4tex2gpDT5WfxpYnw7bWug9fIrtQ/p0YR/qymu9Q31Pvr8eJMzY6MDbx1+gktfo3aefGWvKgzLuk69QDINbSzupq3A2RdQOIWQOHnGEKrYIED/w8hgEcZgDBoMM3R36+eZq6vSF1XadhLUzBuG0n4NhTsQ+suE62+ua9mJth63jR9rx42S1/MaFfvv71dfRVxyrbC7VtS7oT6j907b3rPpyqdOJxxcTO856yaR9iAITpowSIiOEfIboeJICAP9i8AQgXzXRK8djcGKE1kM/nCUBMgZVMM/Gtl+gBfSgZFJmTrWwNAGLiONlfmk4Y5RqYdDjcL+EfIpJG6j5hj7bqPMlHayCeo/d+5ieSD3OOjdCcXM9tjLAM05PtD4hanPcBJ3Xdt+13eWrWzN12Gs6BXCZ4Q8LABwzKCL6y9D5s9e4vUnrSk9dfzofL1j0/3Tf6iB2TbzyxIGTwgLZ7p+xpq+uab5l3LhZoMP+KPeS4DgdFTLBME1ukiI1WIS1GDH1d2XZDWgw8h3DnDMCG90SGx/qc74s45sfMkcuU9SH0Ze3Eswd9GtXhUFkdQHww7Z3fcl+UpX0I5gU05AIpC2WUgIAFIj+XKkyf+p+FsmQIsS86xrBfAMJ1itLMTJYLMTou+yCh3vKIOq5UsTp5ij7lGgYk8r77kq2AZgwg2g8mDMAmGFwggcs+ENkKY1/mustBIFYVwtxO1Tbk3JIdStNMpRpqm8tWpQv3JdtB39wu+pdjqtIft6dvANbtPUhozL4PsRoHXf/KvQlNHjlFCT7rMvzMCK6C2oqifEXyNF8Uie1Zkb609iPkL2FbQ1fSLVtZF1CIBRA5749I8x/TF7cXCyBCAEr2NwsAIen54jbtVE1zXQ1ArKUtDin0vdSzAAxlHAh9dj+tTcDLE+tfoAEE0yPmBUT7V4nGT6zS5Z/6Xvq6zwfi/3mWfupzP5l8JLugrAovnapbBUDwPLfaezOOhganBag8YfpOnfJZTDkrs6pB8IXmd1if264zRi5/mbffl8O/ytxtSXEMSIzUivj6luDEVa47oMHiAg1j5iDBAsrHAAgADKtwVKBCg/kYvoJ2bfwr5AeFukX6sTl0xtCPyxSVD0WTb8WOY17KxWpD9HjLgA3271j/PG1UcaisBiAC2ocyGyRmIY8igHjzBXok5EQ5jwCCfR8kcweT1qdTzbxdz0OnWlf7rn2jT7jyYpuQEMS8IFRd1/KG2onZ07JM6IId3/XAaMcliPVz3RbTX16hPXURkAV42YSy1Bjgc2hdi9Ion4eKgfcCCAFCsKZyP/FvJ9L4yIsGQEyo3QCIsrt3b726AEToXhP0vL1Ng6tryWbZGZQHEE+l7aIZEcv4Gtgm5kLWISJI34ZY7YJsM1atGVJN4hSA9q50aPzmhH7gP3knfco1h9M9ol95ZhKFQWvpniyPUIva6ktVqq+cj35yThj39oA6gzF1XALNJzR8p0HUizkxhtZcPy8iyJJtu4o+XaTE9WwKCCy6vfJRn9vyzUGXi+m3KE2OUvkQPV1zZdDU3aHBDYrTPlSlmcvEod9P/e7iPcQ7yN+Lakxjxx6rhdDaXf4uw0qn3gl1kylkQmz4Krc1Gu+mCvDdNxITrqppEdJwlO1PhtaG+jCgLLsWwLZWOhupLqPr8ndEq9g0FS++SJtlHSpLAwh25IOvwJSQFemRYzdqLEio0p7ZeFk2uRB4kC9nLGgoMjYwATZd0Cql57fo3Moifc+ZRXoTJZSMUkpaRK2UJv8Pidpdou31Pv3WN79MV+hSnMOqb0xlgQTa5Dlsr1KHv6ebEyHIIbzy8xTj2KQEIb5cRn6W5WQYMNqaaic7cYaAgK/9PBJoi5LWkkjnrb7nc92azE+WlWMaO+oV2ROx7dn64t9QH2OUv+lnhkFZ6tjmm3vYqznK36fe/6Xp22F1ltayNImlj42Z4je5n/T+aCc0vsmmi8yHwdRZzfbGOiXWz2iYn+NP1qljsqoNvLdS+6FBhVlfYQopw8P0IUiaPkLAIiZdPsLifdpkGSZv81HL93UmcwBcDC/y+De4DrIxy+XK/xObKyffiwpIGT6aXQWAz3IeNtDhmqOtrE+zwVcpXPu5ZCNm/rpMOQCxlnYukP2ugzLmBdvAQ0K+zGRnDSBsKk3fOFnzsErUWxjQd7XadHqc0sikgG6Z66nbWTroFo1o3Erpy689T1frAA88pqoAYucetetIGuYCHOYlyoBJaK0lcEFZDUTk95AjU6i/w/7cdleLTdD7hL/vvhcf8445fdVJ31iVsGGiGyry4pAACBu95gFA2GSB1AIjWsS13i4AwXzcBVKgnSgCIKbAaeDStLoARMwetwGKEDiS4MPXh34v1tdpk9aSKN8f2W4JAJEmtEa9iyvuU7Br4WOIlqNKkbglZBIItSs1ClxWI3IW/FKg+hyhbOVC/fueXzxLTxDRRT7KM2BIWfMwSefcShNqt8eUtNr01Su36Zv8W5W+ZN2iAEKrUtl8gc0cEgpQqYVUb1ZG6FHl6fK29n2qQNsdJjaVqu5HnjZ0eaZF2xHloRmm7wIzVxuh9S/CoNGWi5HHhDO7mK+ki+9QEVJdu/IbxJxybczUFUZuTBcADCEi1/Vcai7qajNrp+j77erexnu1BsLlhF52SjGHR1dUSUg7UnZMB1FPvpe2/V4m1FbufwkiFtdpeHWNtorek1EcQKylnUvkDtuUApo3Xxn1mRc5lVDNac3AnvAqZhz7qIY081ul9NKAHkoTeoxBA6XUancy8DCmZMzgIaH2cEzfvNah5834qjI4xbBcYMhqnxV9X1qnNl5Ulz3StobaDihTgmtBAXAi29GI3HXKsKkTXcBAgwEJfvULGqtd82UodYXWaUGMvnScvi+pl+8ZhwpfEu+OSwgU8dKXc7l6ilJuX2v5fFo/V1mmhaYhf4fJ1JcFNnSq1fuS2+Wx072SeR9WhflinVLCd/4c+pN1UVaDCvnO1ww4fKGmPBx+HnN484V9a0Ef+u4imT4Ehkgbs+/QRgiwxGqu5Zh8IGvWICcWWIAfA0isP0NbRX0hCgKIifZBCh6b/S20uPv13BWHDQEeNY6aX1r0fWZES0spPZG0JqYgaB4MmCBqsQljRPTa9TF9nTqTfAdTf2BQNibkm1jsfFxgZUiti9lV7dyN3KycN0O+bL4XRSe7kfVYULiEtU27VfZlhcANMRAfOSE4jRAiIhaits/6Gb6H9qBsi8viu60+xuJqU9aVZeSYZbvW8vAR4FwG0l8gy20Qmo/tOYCN7k8CHllPzrMMc0dbeX8v0ZjOBQT+1ez5JUpIfi4zYa7D760EGdNAZK9PBdeJfXfLjknVK6PFkIfGGPDh0iTIocwi+V1NJKrczKzBRGiA0m+EtZ7Xfo42i2ghigGITPtgQ5x1axpCE495PrcA4hQll1r06GhEZ9MWJZ0WJayBECCiMx7TrdaYnr/Wc3iFHyCAAGMPqTJj1shXJlY4xJ6aQ4JVC6xYgVtong6hq4V4TJsuwesS0q75mPISGKABOdbQgDSgkOV9z7hcBPhwgRzb2rtAlgcQ7QXoer4NgAjtAPO8ARBRZMoLHTSAwEAAJG6+QNtFtBDFAMQH094jw2k7/EFoIGzAwBn+VFXtDwrDhOAydYT6EfXOL9HqwgJdYvDAoKEzIk5K3uq0qTUeU5tatNlv0dfWiXayU0eYwbn2bVENRWj/D6kVczL0CqvspC670idt27PQ0PBcawF0W7FAYc8J23b61sLPJnRRRj67RSk9Ti2r4JYD1oLdd+rnZxHCeGpemqgYlwQVKKOBAJc95whD5Wf44zLyu+6Tn8doNCxz3wO8JA1C9ODnkzmkuVYhdpOFyrGmwvfn00DIetIswr/voxYiZOLAMLVGOvYw6dNQhNqQcscng2x9FDWHhJaan9uSCaKenkuRrMWxVya4ymmA7TqUwTH1Bqdw/1najtVCxAOIp9L2I3/K7/sQQ+g6yng1C7KDkFAvMph6fBDSs4u01F2iN46HtJBrHjIgwT4P6Yj62336+u1t2ipkT90PAME0kIwen20C0ibIYgSwFFyx7Wph5xPqevw2QalpaQvN0x76YOx6z9kAJ9p3hQeGwgZlff7sspP77OeuZxCo3O4tJQRDQEDSTZoEuB18121ynd2yrT3hki76lfEVsPk6QZMHDUMRnuArGwIQe/fYLi+WY+J2XOYNF6/bR5DBQyhj6uB6VQCEnHrMIdYWlRJjYondDmUBhK/9kGY1xvxTBEDApHttw6S4jorIiAcQFu1DLHHrLndoAcTEf+BhatMJpkkn5duaqdVh58kRtROicWubXnr1ZbpHbxOanhiHrFkDCBtTCqmmfQvvipePbTPm5M/929pz9e0CnPoUyO1KExKe72qpdk/fsRqgadCw64xX9OVxAZnJmMO2dQ0gWLhD6H+7mHfRcaG8BBMAKQAQ2iFxAo7CPEqDex+4kOOW71UDIMquaAMgKmgg5hJAtGlMP5tsxWyI8MvJrVi0D9FCPGYUnjKxarTKEQqx47Q5PtkEjG5vndKLK3Sm1aFz6YgSzvUgHSdZGzEe0pVrX6fbVPT04hfUcWscO/+y5WJBkFTtxgiPouOJHUdRgSLXzFdXr63NIU/Wr3MvxNIqZvxF6RPTt3RQRHkbXeugiY/uaH8Wc5R0CM2D+9caCBcdNV+K0UJojYxs2wamY9osoJFwaQB85gstd1zaD185HZXnM3PEbNtQGZ0mIFQez+vUkMT2yeVYa3Hti7Qdc0dGnHB5f7pQVwIj70RiVLFFKBErLGwnnyL9hMpepfTsm2h5oUXnx21qd1NqjTnPwwJxkqiE8z6MW3T95l26FWqq8PODFMKFBxuo4AqZi+kndi+graLCIxZAaMFYFEAUHVcMbY5jGQ1WbOBlHugSAhmuMc7ivd97KIqTH44xFjF9zPLAGroGwPY8mBqghr1ThD4xfiA+M4se7lXOi7KW9EPTCG+AtZTDCruhhqzPffZgrlCvj0I47rrUJGqodIralzt0bjiibjqgRIOITkJ3Xl2n64V6ig0lmwU4KiPEyjLCQkTxFI6lV1kAUdc4y7RzSTgsXs1U/vI3bpN/17+V6atsHYyL6/vGIcvpsnJuulzZcdVRz0b/Otq1tVHmPSoLJkKgO8Y3Y1Z0QLt1yJCAZsUHIEpPr4KGx9anTnGOMj4QojUclgSL7AvhdeCPARCccdBkHSz81wAIQ7JLJ+hUSrSStidmC764h7UOrImgDm1ebdG1qZjwGELHCsQYAFEGEMSMUZYpw/iK9uErH0uvBkDUSfXdthoAUQ9dy7xHDYDw0/4IAAjXBCsCiEHImTIMID6Y9qJCh2zmh3rQ4fxqFiJYwvkl6qULdKqXgQaACNZEDNvUX79PN9ghOaKp6SJFBSLXhk1Vd3YQAEKP36XKL8MwbcSMpdd+0KLwYgcqHHcNhE8D4NJ2FNHIxIKfyTsW5qlV1r/q+1AETIQ0ELtaAPucI30mqpCjVi02BjLLcZeViRXGVMQUIteC72qiDyQ7vvXxb/an0ja9q4T2wecJbhuNb6NWYei+ly3GUa1K30b1QO2LK3RqNKZOukDJYoeSrQEl3Ra1+2MarSd0k56r6fpg6fjldtTjePfZMrhYbgDGrlXuofGVYaBV1xFz2i8TQBGBFUvvptzBUiC0r+scne8diQUQNp4cA/rlPGL6ssmKmEiisoLYReeYCCWuWza1+CzGW3YsFho473j6Cg18zpR+YcLOkzKcMHaTNwDCUMo4Ti5OUlXDbMEgYntIaWdEd0y8bV2MpQEQ7t3ZAIjYN7cpNysK1PWex4yvARAxVJou0wCIHAsoh9Wxz5nSAyDShD5YwHlyGrFObo3c6wNhN0fUxeCLb5uZ1bh0iRbud2npZJeScZ+S8fLE94H6lHS36M5VoomHq89pTI8uhgnxKdlWznZ6Pown3Rga2FZ1v7QHsu+vRFyopMf6VqUhKtPGzHb1IWhY0+8QDLnUEH3vQUhLpy/8sl/qNc2rNY/2Ra2E+tdaCpk/ZXdsk8sDy6fsn86lEmOOmYSQ+y8tLDueUotcspLP3KET4HEXofIfYFnF7nt7/9wAoqj5wnUxjOzTpxYrSat5rXbx26m7PaQugwYGESP2gVigZLxDmze3+NrU7K9OAOGyBfvswBjHQQjYsotXBEQc5LzKCn8IwbL1y9L1KNRrAASbTsNptCeCYyIUygKIXR42LVxi8mgAgEDD7cqvgz5izCFa1sQ4kMs5xOTciJFzB/0ehQABQEO8CYRDOq2ZKd0braj5Ioaws8z8VmTR9Ck9RsAWaZ/LXqJklWhx1KN22qPkxJha2w+ov36VtqbC2OoCEGUE5WHUQBRdh4Ms3wCA/af+vAKI0F4oOu550EDUASAgtPXhMvauENcO23uHiNsZX/p2+MCUHpMLfO3/rp/usQyAmAZfGhc4zRgOAJGZL1wINUYdFCLiQZotygjb0Hzsz1sAEQstGpqbzmzx+bFagLoFft3tlaPR0asVEhZHb8bzOaOiQhmzwPqF6te5zqG+NIVDWriQFqLoitlMGHUBiJixxGogysgmn0O9KzPuYTBlxNDVV0YCkTXasZkx7ACCzRdvpXbpe+/LgIM6krHsHzCIX5pTtHDhHrVvXKWdA03kEz/ipmRVCtQpWKqOpal/OChQFEDsCm87D581gChD1VC2T53Nte457AVhdq1E3f2G7njxgZ5Y4BSriSmzblzn8zS0RWPYN99a2qktOsA14KLC/jCflnnst7NcDz4nubJMpOymaOrVR4EGNNRHy+PcUl08oIqJw0Z/36HQp1Wtay1dqeKrCPuYg26o/aJtxOajCdHNZk4J1dHPi4CTZ2hMH0oGugkLgEgTen+J3A9FB3+cAATTxqUWlYKnLuZRdC2a8tUp0ACI6jRsWiCqiwc0ACK8m4oK/6LACuVt4CcETEKj328AweOxRGPsBRBsvjgrrpIOTST0vChQCLV3GJ5XESZ1MZAqdOLxz8M4qsxhv+tWWfNZjvWtIpT0K3OSRGyW8z3sbe/Hexfyn2AaxkVS+LMEx/QTu15VBa7uJwY8xI6tSrnQvFzjDNUrM6aQRmKdRjoaww4geBP7ogNi8wyUmYStzrwy57rmJ9uZBQOx0c/Wj01L4vutjvn7xsHtz4IedYxbtnHU96cEIXXTLra94wh+9nvvFxX4szocxozDZdLw7acydWL35zyVKwsudH6QvXPiaIypcE4FINKEnqKWYdoNgDiYLTELptEAiNmuZQMgZktfbr0BELOnsewhTojP5p6iuL53ZVesNqEBEP49FAIQTGflB7EXQKxRe992qjzdHnUmHEtUXxIhF7jQtIvJZlhEA8EnUBsDt51M62b0MXOx0dZVrwpAc/mrHPW9Ow8aiDpAhG8evn17UGagKns1lt/ElqvbiT3GTOrrk58hqkPfqyPnJJ/FmGVi6YFy0+1XB1R6zi4w5ctlBNoUnUtceU4qlV/+OA0g1lJOQT1JQ70ffw2A2EvleQUQGKlktLMGECHzhm+PNgCivje4ARC7gqFugFxkD9e3osVbmgcAIYG69NNrAAT7rOjU47uyvaxJw7ZLvkIjGc45DSAm+R+q3dZ41E9jxV+9YjV8AKJYS/WVdp3AYgVLWaZbF4DQmgPt12HTLOz3Po6lZX2r2rQkKTCPGggeH78DsX5IVXn3LHaESzsao4GYXh/76b7InAGCfICjKA3q9gOJ0UDYxu8bR1GTkJ8GU34QWgPRKUq/PeX3m/FWHvCcNdAAiN0FaQDEnG3OIzycBkDMZnEbAFGMrvMPIEjezrkLIIqYL44TSHCdDG2q/DIn7YOyr/pVp9VteXb1VzXtVrFX8XCVbjQQh2O9Qu891rEML6ibAkVO53X3ze2VlROhg4N8LjUZof704Uy2o7UTs6DHPLcZo6XA+C+ZcE7jB7EXQIQWYZ6JUGVsdTDwMkxj1gCizLzWlD1traJZS69LGTpVWVtX3fli9rMBbbOgW9NmHAUOep8fVgARR929msqQ7PIBiKJ9HsXysSCiARCW1S8jaOsQjA2AOLhXsQEQB0f749BzAyD2BxTHmn1jAERR34yjtI9jAQRfy/CxZDStgWAHynn9q0O4H/TcyjCTOuattQll6MAaCNlO3RqJMmOy1SlK4zoBREyIoA6HrWN966JdmXZce6LInpN7a173VRnacJ2i+5Hr6D1Rpo2y4530v6uVdoUth9oPaQJC9efheUh7U2SOLpPLPMzTNoZJGGia54LSDpo89wZA7PPqgRFIIVJUgBRhzFWmd9QYuaQFr4MGDrPUArnWW+6HKmu133X3aw/65nWY9mcMAAjxgZg29nsf6P7k6T5WI3DQY56H/l2ArezYZNSOBoRl27TVW6MRX++doc0sA2WdHVRtK/RSVW1/HurbTnANg57tyswLgJjtLGfT+jzsTczsMIGIOldDA8/Y6BGMQTuBuuprbVmdc6ijrZB8kO8593cYQFgddLG1EdKmlOm3ARBlqFZznQZA1EzQiOYaABFBJEeRBkCUp11dNRsAMaFkAyDid9QsAAQR54MYz5cGQqqW5QZhxuU6cYCpHeSJZJ4Ya/y28pesSs9Z+0yEMmLWRYeYdlynnRCTi2n7IMschn1ddZ8eJH3nvW/XO7Yfp/lZvzv7MYd5W996gYQAEJwDYh4I6to0DYDY/61YlTEfJwCx/6uzPz02AGJ/6DyvvTQAYl5Xpty46gQQmSPlRAPRAIhyC4Jah4HRFp1hAyCKUuzolT8M+7rqPj16q1bfjBoAUR8t56GlmQGIoiGcseolm2rXFjoHhx080xoH23e9IDZGMutTsAQQsn+fb4MuVzcD9CWBqksgxI551gmp5uGlNABcmdhcZrUiPi+xNJ4FDeraJ7MYm6vNg6TXfs7zMPRVhzY7VsbMCz2KOm1WDSH3hYS7HWPrywQ8pYGIBRBSwMcsnC1/gI25ggFXiStvGEjMivjLlPEniQUJdYO5uturQr2jBCAOI3iQa9fwgQmgPUia+CI7qrxnh6luCES5DtKuOZb1+QqBCVs+i1hNxRqNdk0YMYsz78ylYR4xq3i8ytjA6fGiwN7ZurRlR4Uux5EPVOHNLu3tcaRj2XfA56d30G2GwEzZ8X2MOAoj5SyDftVGlc1ZdnBl6oXmUabNps7hpkADIBoAcbh3cNzoq/DoBkDE0dhXatYAoorGdV8BRJWNWH0ZqrXQAIhq9DvutV1MwGV2A720qe640/Gg538c+ECdfDoGQFQRYAe9H/aj/zrXo+h4Q/u9LIAI+aGssfbB/DsifyFCHpFpNtM4AhSw2akPkgkdAZIGp6D5gxaKVX0HJACN0XyV4Vfzskdm7QweXMw5KODyfTqIoRXdSzEBDg2AOIiVbPpsKBBBgQZARBCp5iINgKiPoA2AcEdf1Ufl+JYaABFPK2vJogSs2F1TvaHA3FBgXk6lc0OQIzIQH+A57FMsy6/LRIpVpVXM+zXPZkzQ2mWKrbAWR8eEUZYIVTdXU7+hwEFTIIbBHfQYm/6LU6ABEHtpNq8Aovjq7l8NDSC4Zw14SsrPBkDs3zI2PTUU2H8KSIbbAI39p3+ZHo96mG0ZmvjquJxAISir9te8NzYgZ3wnGwBRdXM19RsKzDMFGgAxz6tjH1sDIIqtWQMgitGrjtIZzRsAUQcxmzYaChxWCjSnq8O6cs24GwocOAUaAHHgS9AMoKHAAVKgARAHSPym64YCh5sCDYA43OvXjL6hQDUKNACiGv2a2g0FjjEFGgBxjBe/mXpDgT0XLzUkaSjQUKChQCQFjg6AiJywKRZyUrI9R9hLyXCXIsNryjYUmCkFGq3DTMnbNN5Q4LhQoAEQNmbaAIjjsv+P5zwbAHE8172ZdUOBmilwPAFEzURsmmso0FCgoUBDgYYCx40CDYA4bivezLehQEOBhgINBRoK1ECBBkDUQMSmiYYCDQUaCjQUaChw3CjQAIjjtuLNfCzwvrsAAAG9SURBVBsKNBRoKNBQoKFADRRoAEQNRGyaaCjQUKChQEOBhgLHjQLmQgyiNPv/uE2/mW9DgYYCDQUaCjQUaChQnAIJgEMDIIoTr6nRUKChQEOBhgINBY4rBRoAcVxXvpl3Q4GGAg0FGgo0FKhAgQZAVCBeU7WhQEOBhgINBRoKHFcKNADiuK58M++GAg0FGgo0FGgoUIECDYCoQLymakOBhgINBRoKNBQ4rhRoAMRxXflm3g0FGgo0FGgo0FCgAgVyAMFtNJEYFSjZVG0o0FCgoUBDgYYCx4QCScoTFfkfGgBxTFa+mWZDgYYCDQUaCjQUqECBBkBUIF5TtaFAQ4GGAg0FGgocVwo0AOK4rnwz74YCDQUaCjQUaChQgQK1A4hJg5M/mzkEz2dtKtmvfirQ/shWZdrPen19xAvtwSKEr3MuB7knq/Rtq1ulPU3/ojSuc315LHW3V2R/VS1b9zrE8O06+4yZf9X1qVo/Zoy2MrLfGLqW7SemXuw7FlsOfTYAIob6TZlCFCi6CQs1HlG4ToZR51z2m/FKUlXpuwEQEZvugIpUWVcbkIsRdHX2GUO2qu9z1foxYzzeAOL/B5OevMTTJFLfAAAAAElFTkSuQmCC",Qn="data:image/png;base64,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",tn="data:image/png;base64,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",Nn="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAADAAAAAwCAYAAABXAvmHAAAFTklEQVRoQ91aS4xURRQ993UzUUZcqFEc4meh0cQFSlwgrvAHSgQWhOhCk4GZqmdw+ERUWDkrBMUBnIzzqqYjcTaaGBLFxA8MjIk/3PhZCCa6UAyKC11ARnDo6Wvu+HrS0/R7r96nWVBJpxfv3nPPrbp169aHUEAzxsxl5gcB3AdgAREtkH8AXSH87wBOMfMp+QfwFREd0Vr/k9c8ZQUwxixi5mWe5y1l5qUAyimxqkQ0XqvVxonoE631Nyn1p8VTO7B///75Fy5c2MzMWwB0ZDHaQmeSiPbMmTNnb3d39+k0mKkcMMZsBiC/W9IYSSH7K4C9Wuu9rjpODoyMjNxQq9VGADzuCpxT7gPP83p7e3v/TMJJdCAIgoVEdBDAzUlgBX8/ycwrfd//Pg431gFr7RPM/HbBxFLBEdGTSql3opQiHQiCoI+IXk9lrU3CzLzR9/3BVvAtHbDWPsrMH7aJTyZYInpMKfVRs/JFDlQqlduq1eoxIro2k6U2KTHzX+VyeXFPT8/PjSYucsBae4iZH24Tj1ywRHRYKfVIpANhnt+Ty0r7lbc0rhMzI2CMuRHAlwBubT+HXBZ+AbBEa/3HrFLCWruTmV/MBZ1N+TiAdyNUX2qZeYh2KaW2zThQqVTumZqaOlZgbePqynEiWquU+qFZwRjzBoBnIoAmS6WSTOhvp0PIGPMcgN2uVguSiyQfBIFPRMMJdrZqrV+bdsBa+x4zryqImAtMJHlr7RJmPgxgbhwQEb2vlFpNAwMDV3Z2dp7JUM+7EG0lE0l+dHS089y5c4dkkjqAVycmJq4ma+0yZv7YQaEIkUjyAh4EwTAR+a6GiGg5BUGwg4i2uyrlkEsi7xL3s8wz88syAm8x89M5iLmoxpIP4348bRYkolEyxowBkA25S1sLQJbyHhfhUCaWvMT9+fPnx5h5cQrMuugRceAEgDsdlKfTVph2rwMgC4mk37gWSz5L3DcZ+1EckAw0L44FM4/4vq+aZfr7+zu6urq2MbPMoSuavieSt9b6zJyU7+OonXVygIjWKKUOxCGFhaA4cj0AF/KS7z8D4DmMfpTIGdcQOgtgldZaJlpss9auA/B1q/Kgrhjm+08B3JuEF/ediE44T2IikiOP1Uqp7/IYDePeElFvXhwAY2nTqJCXkTiZ1XgBcT9jmplHxYEd4SR04kRER0ul0ur169dLWKVqYb7/IpVSjHB9IctSShzQWq9JQySMeyG/MI1ewhxYnqeYq2itnePYGPMmgO6iyAP4v5gTwBzl9Cta68RdnDHmWQAtz3WyOjRTTodZYSsRvZoRbLvWemeU7vDw8P2e532eETtSjZmf931/d31HtkguHdIWUw3oWmttm60NDQ1dVS6XZat6V8EOTMplitwpNJ5K7ALwQg5Da7XWszbnxphRAE/lwIxSnQnd5mMVGYWsZ///MvMK3/ePiFVjjFyADLSBvCyo0vuzj1VCo3J5kflgi5lPE9EKIprHzFIqtKO1PtiqWzLGyIb6oRyW5ZynBOCOHBhRqmNa61nHnhedjQZBcDsRycS7pg0E8kD+LZse3/d/agS5/I7XG0JpI4B9ebqsQN1NWuuWly2X7xVTvfestXfXarWDRHRTgT2aCMXMv3metzJp/5F4SymWhoaG5pfLZVlpL9k1a7VaVRs2bEi89HZyIOwu2b1tukQX3TL3OHGYsjw1GBwc7Oro6Kg7UthTA7mhn5yc3NfX1ycPQ5xbmhGYBSqPPYhINkMPAJDHHrJ4pWlTAOShx1FmvnSPPVoxbHxu43neAmauP7eRf2nTz2yI6FStViv0uc1/ndZCH8rgOooAAAAASUVORK5CYII=",cr="data:image/png;base64,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",be=n(53114),Z="data:image/png;base64,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",ue="data:image/png;base64,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",s=n(4977),l="data:image/png;base64,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",p="data:image/png;base64,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",g="data:image/png;base64,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",b="data:image/png;base64,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",R="data:image/png;base64,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",Q="data:image/png;base64,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",O="data:image/png;base64,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",V="data:image/jpeg;base64,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",ie="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAWgAAAFyCAYAAADYqEAoAAAAAXNSR0IArs4c6QAADetJREFUeAHt1jFqXUEQRUHLaP9b/jZObmYU9MAJSlGDxNBUPw76+vz9+eWHAAECBHICv3MbWYgAAQIE/gkItA+BAAECUQGBjh7GWgQIEBBo3wABAgSiAgIdPYy1CBAgINC+AQIECEQFBDp6GGsRIEBAoH0DBAgQiAoIdPQw1iJAgIBA+wYIECAQFRDo6GGsRYAAAYH2DRAgQCAqINDRw1iLAAECAu0bIECAQFRAoKOHsRYBAgQE2jdAgACBqIBARw9jLQIECAi0b4AAAQJRAYGOHsZaBAgQEGjfAAECBKICAh09jLUIECAg0L4BAgQIRAUEOnoYaxEgQECgfQMECBCICgh09DDWIkCAgED7BggQIBAVEOjoYaxFgAABgfYNECBAICog0NHDWIsAAQIC7RsgQIBAVECgo4exFgECBATaN0CAAIGogEBHD2MtAgQICLRvgAABAlEBgY4exloECBAQaN8AAQIEogICHT2MtQgQICDQvgECBAhEBQQ6ehhrESBAQKB9AwQIEIgKCHT0MNYiQICAQPsGCBAgEBUQ6OhhrEWAAAGB9g0QIEAgKiDQ0cNYiwABAgLtGyBAgEBUQKCjh7EWAQIEBNo3QIAAgaiAQEcPYy0CBAh8/5Tg6+vrp3/q7wgQIEDgPwKfz+c/v92v/Ac9CxMBAgRSAgKdOodlCBAgMAGBnoWJAAECKQGBTp3DMgQIEJiAQM/CRIAAgZSAQKfOYRkCBAhMQKBnYSJAgEBKQKBT57AMAQIEJiDQszARIEAgJSDQqXNYhgABAhMQ6FmYCBAgkBIQ6NQ5LEOAAIEJCPQsTAQIEEgJCHTqHJYhQIDABAR6FiYCBAikBAQ6dQ7LECBAYAICPQsTAQIEUgICnTqHZQgQIDABgZ6FiQABAikBgU6dwzIECBCYgEDPwkSAAIGUgECnzmEZAgQITECgZ2EiQIBASkCgU+ewDAECBCYg0LMwESBAICUg0KlzWIYAAQITEOhZmAgQIJASEOjUOSxDgACBCQj0LEwECBBICQh06hyWIUCAwAQEehYmAgQIpAQEOnUOyxAgQGACAj0LEwECBFICAp06h2UIECAwAYGehYkAAQIpAYFOncMyBAgQmIBAz8JEgACBlIBAp85hGQIECExAoGdhIkCAQEpAoFPnsAwBAgQmINCzMBEgQCAlINCpc1iGAAECExDoWZgIECCQEhDo1DksQ4AAgQkI9CxMBAgQSAkIdOocliFAgMAEBHoWJgIECKQEBDp1DssQIEBgAgI9CxMBAgRSAgKdOodlCBAgMAGBnoWJAAECKQGBTp3DMgQIEJiAQM/CRIAAgZSAQKfOYRkCBAhMQKBnYSJAgEBKQKBT57AMAQIEJiDQszARIEAgJSDQqXNYhgABAhMQ6FmYCBAgkBIQ6NQ5LEOAAIEJCPQsTAQIEEgJCHTqHJYhQIDABAR6FiYCBAikBAQ6dQ7LECBAYAICPQsTAQIEUgICnTqHZQgQIDABgZ6FiQABAikBgU6dwzIECBCYgEDPwkSAAIGUgECnzmEZAgQITECgZ2EiQIBASkCgU+ewDAECBCYg0LMwESBAICUg0KlzWIYAAQITEOhZmAgQIJASEOjUOSxDgACBCQj0LEwECBBICQh06hyWIUCAwAQEehYmAgQIpAQEOnUOyxAgQGACAj0LEwECBFICAp06h2UIECAwAYGehYkAAQIpAYFOncMyBAgQmIBAz8JEgACBlIBAp85hGQIECExAoGdhIkCAQEpAoFPnsAwBAgQmINCzMBEgQCAlINCpc1iGAAECExDoWZgIECCQEhDo1DksQ4AAgQkI9CxMBAgQSAkIdOocliFAgMAEBHoWJgIECKQEBDp1DssQIEBgAgI9CxMBAgRSAgKdOodlCBAgMAGBnoWJAAECKQGBTp3DMgQIEJiAQM/CRIAAgZSAQKfOYRkCBAhMQKBnYSJAgEBKQKBT57AMAQIEJiDQszARIEAgJSDQqXNYhgABAhMQ6FmYCBAgkBIQ6NQ5LEOAAIEJCPQsTAQIEEgJCHTqHJYhQIDABAR6FiYCBAikBAQ6dQ7LECBAYAICPQsTAQIEUgICnTqHZQgQIDABgZ6FiQABAikBgU6dwzIECBCYgEDPwkSAAIGUgECnzmEZAgQITECgZ2EiQIBASkCgU+ewDAECBCYg0LMwESBAICUg0KlzWIYAAQITEOhZmAgQIJASEOjUOSxDgACBCQj0LEwECBBICQh06hyWIUCAwAQEehYmAgQIpAQEOnUOyxAgQGACAj0LEwECBFICAp06h2UIECAwAYGehYkAAQIpAYFOncMyBAgQmIBAz8JEgACBlIBAp85hGQIECExAoGdhIkCAQEpAoFPnsAwBAgQmINCzMBEgQCAlINCpc1iGAAECExDoWZgIECCQEhDo1DksQ4AAgQkI9CxMBAgQSAkIdOocliFAgMAEBHoWJgIECKQEBDp1DssQIEBgAgI9CxMBAgRSAgKdOodlCBAgMAGBnoWJAAECKQGBTp3DMgQIEJiAQM/CRIAAgZSAQKfOYRkCBAhMQKBnYSJAgEBKQKBT57AMAQIEJiDQszARIEAgJSDQqXNYhgABAhMQ6FmYCBAgkBIQ6NQ5LEOAAIEJCPQsTAQIEEgJCHTqHJYhQIDABAR6FiYCBAikBAQ6dQ7LECBAYAICPQsTAQIEUgICnTqHZQgQIDABgZ6FiQABAikBgU6dwzIECBCYgEDPwkSAAIGUgECnzmEZAgQITECgZ2EiQIBASkCgU+ewDAECBCYg0LMwESBAICUg0KlzWIYAAQITEOhZmAgQIJASEOjUOSxDgACBCQj0LEwECBBICQh06hyWIUCAwAQEehYmAgQIpAQEOnUOyxAgQGACAj0LEwECBFICAp06h2UIECAwAYGehYkAAQIpAYFOncMyBAgQmIBAz8JEgACBlIBAp85hGQIECExAoGdhIkCAQEpAoFPnsAwBAgQmINCzMBEgQCAlINCpc1iGAAECExDoWZgIECCQEhDo1DksQ4AAgQkI9CxMBAgQSAkIdOocliFAgMAEBHoWJgIECKQEBDp1DssQIEBgAgI9CxMBAgRSAgKdOodlCBAgMAGBnoWJAAECKQGBTp3DMgQIEJiAQM/CRIAAgZSAQKfOYRkCBAhMQKBnYSJAgEBKQKBT57AMAQIEJiDQszARIEAgJSDQqXNYhgABAhMQ6FmYCBAgkBIQ6NQ5LEOAAIEJCPQsTAQIEEgJCHTqHJYhQIDABAR6FiYCBAikBAQ6dQ7LECBAYAICPQsTAQIEUgICnTqHZQgQIDABgZ6FiQABAikBgU6dwzIECBCYgEDPwkSAAIGUgECnzmEZAgQITECgZ2EiQIBASkCgU+ewDAECBCYg0LMwESBAICUg0KlzWIYAAQITEOhZmAgQIJASEOjUOSxDgACBCQj0LEwECBBICQh06hyWIUCAwAQEehYmAgQIpAQEOnUOyxAgQGACAj0LEwECBFICAp06h2UIECAwAYGehYkAAQIpAYFOncMyBAgQmIBAz8JEgACBlIBAp85hGQIECExAoGdhIkCAQEpAoFPnsAwBAgQmINCzMBEgQCAlINCpc1iGAAECExDoWZgIECCQEhDo1DksQ4AAgQkI9CxMBAgQSAkIdOocliFAgMAEBHoWJgIECKQEBDp1DssQIEBgAgI9CxMBAgRSAgKdOodlCBAgMAGBnoWJAAECKQGBTp3DMgQIEJiAQM/CRIAAgZSAQKfOYRkCBAhMQKBnYSJAgEBKQKBT57AMAQIEJiDQszARIEAgJSDQqXNYhgABAhMQ6FmYCBAgkBIQ6NQ5LEOAAIEJCPQsTAQIEEgJCHTqHJYhQIDABAR6FiYCBAikBAQ6dQ7LECBAYAICPQsTAQIEUgICnTqHZQgQIDABgZ6FiQABAikBgU6dwzIECBCYgEDPwkSAAIGUgECnzmEZAgQITECgZ2EiQIBASkCgU+ewDAECBCYg0LMwESBAICUg0KlzWIYAAQITEOhZmAgQIJASEOjUOSxDgACBCQj0LEwECBBICXz/dJvP5/PTP/V3BAgQIHAg4D/oA0RPECBA4IWAQL9Q9SYBAgQOBAT6ANETBAgQeCEg0C9UvUmAAIEDAYE+QPQEAQIEXggI9AtVbxIgQOBAQKAPED1BgACBFwIC/ULVmwQIEDgQEOgDRE8QIEDghYBAv1D1JgECBA4EBPoA0RMECBB4ISDQL1S9SYAAgQMBgT5A9AQBAgReCAj0C1VvEiBA4EBAoA8QPUGAAIEXAgL9QtWbBAgQOBAQ6ANETxAgQOCFgEC/UPUmAQIEDgQE+gDREwQIEHghINAvVL1JgACBAwGBPkD0BAECBF4ICPQLVW8SIEDgQECgDxA9QYAAgRcCAv1C1ZsECBA4EBDoA0RPECBA4IWAQL9Q9SYBAgQOBAT6ANETBAgQeCEg0C9UvUmAAIEDAYE+QPQEAQIEXggI9AtVbxIgQOBAQKAPED1BgACBFwIC/ULVmwQIEDgQEOgDRE8QIEDghYBAv1D1JgECBA4EBPoA0RMECBB4ISDQL1S9SYAAgQMBgT5A9AQBAgReCAj0C1VvEiBA4EBAoA8QPUGAAIEXAgL9QtWbBAgQOBAQ6ANETxAgQOCFgEC/UPUmAQIEDgQE+gDREwQIEHghINAvVL1JgACBAwGBPkD0BAECBF4ICPQLVW8SIEDgQECgDxA9QYAAgRcCAv1C1ZsECBA4EBDoA0RPECBA4IXAH7PYDOHnuk1pAAAAAElFTkSuQmCC",Ae=n(31138),T="data:image/jpeg;base64,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",_="data:image/png;base64,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",Qn="data:image/png;base64,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HfCqOaXuYsA466aPR6XnAZQ8qHKB4fWJP4kNV7SrV3ymqwNVAFiTUe85HzLedaKNxfd/h4FvuPdoA9Hvj7ftmhMAkFbZyaxaQH1a3XwurL9tp4kN7fsUQz5fTnxbGH8GFt7DcwpecTuMFmlIaZ+bjOgvF2u7d/gnIWZR+Q1KPowcIIaAhQSarqmH/xE0TpQbb92M9uT7kdz+/HqfDB0EcF/ZRi1ggYFER/cYcMtMOO3jzlmVjXKDrkt5uv9are9ZLJ8L6UcJ+HplVotygVRlYLFwM4GWf2njl/ymq1fqrSgM3J1Sfz5Rnd15ulp/tiGtPV6h0aIwaCDxUPc/F8sfOQdqTKnbrvjMf9fOK7ZLCyv8Jom1s9qvsHANttQw4dhY++6BW+sKFlNJr7E9K6wOZEoT0YU3ogvXm5OSMK5KQ347v7oggZbr3j/+PWwUnoj9jyHCk+OP7p3Kry+6nL33uvazqbD+6+W35RDmrtGOPW8Va7JcjzemtC+frTKWfgJyCQmxI/GZ7x+warfdUKy/rj47UZXdnlHZXHprJWBcFKZsGX1k16t2spI7oqbr3iOTkdzGyz7z8tK5s4eAN4UiHxx5dO94Ka2jLd2Gq95TI/e9tXoqbBytZLJzwAUGdY+273nc6Y294z3p1sRW2ZhSt02Gsg+eDxknyl07FYWRY8I+aZptYx27B0Bw/Bp3faHRcs13EsCWiWpjZ8DEU+Ecxe7IKjVl5GMy8zAJMQSIwbH27rL+7FH2jUzTNfUwgMMAkFiFlf5MrstviA4PU61HIuo1KQRCdkGeJCDJoCQkkkzyOFVF4mOxyv9u8x8opnU6UeBF0wAAAABJRU5ErkJggg==",tn="data:image/png;base64,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",Nn="data:image/png;base64,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",cr="data:image/png;base64,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",be=n(53114),Z="data:image/png;base64,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",ue="data:image/png;base64,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L({type:"save",payload:{detailTopBanner:_e.status?{copy_completed:!0}:pe({},_e)}}),_e.status?{copy_completed:!0}:_e},*getClassroomLeftMenus({payload:I},{call:D,put:L}){const _e=yield D(Ft.w9,I);let De=[...(_e==null?void 0:_e.course_modules)||[],...(_e==null?void 0:_e.hidden_modules)||[]],nn={};return De==null||De.forEach(bn=>{nn[bn.type]=bn.name}),yield L({type:"save",payload:{detailLeftMenus:pe({},_e),detailLeftMenusNames:nn}}),_e},*getClassroomShixunsList({payload:I},{call:D,put:L}){const _e=yield D(Ft.Nd,I);yield L({type:"save",payload:{detailShixunsList:pe({},_e)}})},*getClassroomTeacherShixunsList({payload:I},{call:D,put:L}){const _e=yield D(Ft.Gk,I);return yield L({type:"save",payload:{detailShixunsList:pe({},_e)}}),_e},*getClassroomCommonList({payload:I},{call:D,put:L}){const _e=yield D(Ft.Nd,I);yield L({type:"save",payload:{detailCommonHomeworksList:pe({},_e)}})},*getClassroomTeacherCommonList({payload:I},{call:D,put:L}){const _e=yield D(Ft.Gk,I);return yield L({type:"save",payload:{detailCommonHomeworksList:pe({},_e)}}),_e},*getClassroomGraduationTopicsList({payload:I},{call:D,put:L}){const _e=yield D(Ft.yV,I);yield L({type:"save",payload:{detailGraduationTopicsList:pe({},_e)}})},*getClassroomGraduationTaskList({payload:I},{call:D,put:L}){const _e=yield D(Ft.R2,I);yield L({type:"save",payload:{detailGraduationTaskList:pe({},_e)}})},*getClassroomExercisesList({payload:I},{call:D,put:L}){const _e=yield D(Ft.N7,I);yield L({type:"save",payload:{detailExerciseList:pe({},_e)}})},*getClassroomPollsList({payload:I},{call:D,put:L}){const _e=yield D(Ft.BR,I);yield L({type:"save",payload:{detailPollsList:pe({},_e)}})},*getCourseGroups({payload:I},{call:D,put:L}){const _e=yield D(Ft.qB,I);yield L({type:"save",payload:{courseGroups:pe({},_e)}})},*getAllCourseGroup({payload:I},{call:D,put:L}){const _e=yield D(Ft.c_,I);return yield L({type:"save",payload:{allCourseGroups:pe({},_e)}}),_e},*getClassroomCommonHomeworksList({payload:I},{call:D,put:L}){const _e=yield D(Ft.Al,I);yield L({type:"save",payload:{detailCommonHomeworksList:pe({},_e)}})},*getClassroomAttendancesList({payload:I},{call:D,put:L}){const _e=yield D(Ft.Vw,I);yield L({type:"save",payload:{detailAttendancesList:pe({},_e)}})},*getClassroomAttendancesStatistic({payload:I},{call:D,put:L}){const _e=yield D(Ft.Ls,I);yield L({type:"save",payload:{detailAttendancesStatistic:pe({},_e)}})},*getAttendanceDetail({payload:I},{call:D,put:L}){const _e=yield D(Ft.zg,I);return yield L({type:"save",payload:{detailAttendancesDetail:pe({},_e)}}),_e},*getAnnouncementList({payload:I},{call:D,put:L}){const _e=yield D(Ft.QZ,I);yield L({type:"save",payload:{detailAnnouncementList:pe({},_e)}})},*getAttachmentList({payload:I},{call:D,put:L}){const _e=yield D(Ft.KT,I);yield L({type:"save",payload:{detailAttachmentList:pe({},_e.data)}})},*getCourseware({payload:I},{call:D,put:L}){const _e=yield D(Ft.ZT,I);yield L({type:"save",payload:{detailCourseware:pe({},_e.data)}})},*getVideoList({payload:I},{call:D,put:L}){const _e=yield D(Ft.O3,I);yield L({type:"save",payload:{detailVideoList:pe({},_e)}})},*getLiveVideoList({payload:I},{call:D,put:L}){const _e=yield D(Ft.DJ,I);yield L({type:"save",payload:{detailLiveVideoList:pe({},_e)}})},*getCoursesMine({payload:I,callback:D},{call:L,put:_e}){const De=yield L(Ft.Ed,I);return yield _e({type:"save",payload:{courseMine:pe({},De)}}),De.data},*getBoardList({payload:I,callback:D},{call:L,put:_e}){const De=yield L(Ft.KP,I);return yield _e({type:"save",payload:{detailBoardList:pe({},De.data)}}),De.data},*getCourseGroupsList({payload:I,callback:D},{call:L,put:_e}){const De=yield L(Ft.kW,I);return yield _e({type:"save",payload:{detailCourseGroupsList:pe({},De)}}),De},*getCourseStudentsList({payload:I,callback:D},{call:L,put:_e}){const De=yield L(Ft.J2,I);return yield _e({type:"save",payload:{detailCoursStudentsList:pe({},De)}}),De.data},*getCourseStatistics({payload:I,callback:D},{call:L,put:_e}){const De=yield L(Ft.g4,I);return yield _e({type:"save",payload:{detailCourseStatisticsList:pe({},De)}}),De},*getCourseActscore({payload:I,callback:D},{call:L,put:_e}){const De=yield L(Ft.t1,I);return yield _e({type:"save",payload:{detailCourseActscore:pe({},De)}}),De},*getCourseWorkscore({payload:I,callback:D},{call:L,put:_e}){const De=yield L(Ft.GV,I);return yield _e({type:"save",payload:{detailCourseWorkscore:pe({},De)}}),De},*getShixunLists({payload:I,callback:D},{call:L,put:_e}){const De=yield L(Ft.Pj,I);return yield _e({type:"save",payload:{shixunLists:pe({},De)}}),De},*getExperimentLists({payload:I,callback:D},{call:L,put:_e}){const De=yield L(Ft._9,I);return yield _e({type:"save",payload:{shixunLists:pe({},De)}}),De},*getShixunAiRecommendLists({payload:I,callback:D},{call:L,put:_e}){const De=yield L(Ft.Hn,I);return yield 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I},yt={namespace:"newClassroom",state:{schoolList:[],searchCourseList:[],actionTabs:{key:"",params:{}}},effects:{*getSchoolList({payload:I},{call:D,put:L}){const _e=yield D(Ft.K$,I);yield L({type:"save",payload:{schoolList:(_e==null?void 0:_e.school_names)||[]}})},*getSearchCourseList({payload:I},{call:D,put:L}){const _e=yield D(Ft.oM,I);yield L({type:"save",payload:{searchCourseList:(_e==null?void 0:_e.course_lists)||[]}})},*submitCourses({payload:I},{call:D,put:L}){return yield D(Ft.Bn,I)},*appplySchool({payload:I},{call:D,put:L}){return yield D(Ft.bz,I)},*setActionTabs({payload:I},{call:D,put:L}){yield L({type:"save",payload:{actionTabs:ze({},I)}})},*joincoursegroup({payload:I},{call:D,put:L}){return yield D(Ft.WK,I)}},reducers:{save(I,D){return ze(ze({},I),D.payload)}},subscriptions:{setup({dispatch:I,history:D}){}}},Lt=Object.defineProperty,Me=Object.getOwnPropertySymbols,Ir=Object.prototype.hasOwnProperty,At=Object.prototype.propertyIsEnumerable,Hr=(I,D,L)=>D in 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0:_e.student_list)||[]],learn_course_list:[{rank:"\u6392\u540D",name:"\u6559\u5B66\u8BFE\u5802\u540D\u79F0",num:"\u5B66\u4E60\u4EBA\u6570"},...(_e==null?void 0:_e.learn_course_list)||[]],interact_course_list:[{rank:"\u6392\u540D",name:"\u6559\u5B66\u8BFE\u5802\u540D\u79F0",num:"\u4E92\u52A8\u8BA8\u8BBA\u6570"},...(_e==null?void 0:_e.interact_course_list)||[]],finish_course_list:[{rank:"\u6392\u540D",name:"\u6559\u5B66\u8BFE\u5802\u540D\u79F0",num:"\u603B\u5B8C\u6210\u6570"},...(_e==null?void 0:_e.finish_course_list)||[]]}}})},*getStatisticsBody({payload:I},{call:D,put:L}){const _e=yield D(Ft.Gz,I);yield L({type:"save",payload:{SBody:_e}})},*getStatisticsHeader({payload:I},{call:D,put:L}){const _e=yield D(Ft.Hl,I);yield L({type:"save",payload:{SHeader:_e}})}},reducers:{save(I,D){return Yr(Yr({},I),D.payload)}},subscriptions:{setup({dispatch:I,history:D}){return D.listen(({pathname:L})=>{L==="/"&&I({type:"query"})})}}},mr=e(7299),Nr=Object.defineProperty,Jr=Object.getOwnPropertySymbols,sn=Object.prototype.hasOwnProperty,Xt=Object.prototype.propertyIsEnumerable,vt=(I,D,L)=>D in I?Nr(I,D,{enumerable:!0,configurable:!0,writable:!0,value:L}):I[D]=L,ut=(I,D)=>{for(var L in D||(D={}))sn.call(D,L)&&vt(I,L,D[L]);if(Jr)for(var L of Jr(D))Xt.call(D,L)&&vt(I,L,D[L]);return I},Ut={namespace:"polls",state:{name:"\u666E\u901A\u8BD5\u5377\uFF0C\u968F\u673A\u8BD5\u5377\u8BE6\u60C5\u9875\u9762",loading:!0,pollsList:{},statisticsList:{},pollsCoursesList:{},brankList:{},actionTabs:{},commonHeader:{},pollSetting:{},endGroups:{},publishGroups:{},exerciseBanks:{}},effects:{*getPollsList({payload:I,callback:D},{call:L,put:_e}){const De=yield L(mr.s3,I);return yield _e({type:"save",payload:{pollsList:ut({},De)}}),De},*getCommonHeader({payload:I,callback:D},{call:L,put:_e}){const De=yield L(mr.UK,I);return yield 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I},zn={namespace:"teachers",state:{list:{},applyList:{},allCourseGroups:{},graduationGroupList:{},studentsList:{},actionTabs:{key:"",params:{}},updateIndex:1},effects:{*getList({payload:I},{call:D,put:L}){var _e;const De=yield D(br.gp,I);return(_e=De==null?void 0:De.teacher_list)==null||_e.map(nn=>(nn.key=nn.course_member_id,nn)),yield L({type:"save",payload:{list:De}}),De},*getStudentsList({payload:I},{call:D,put:L}){var _e;const De=yield D(br.ur,I);return(_e=De==null?void 0:De.students)==null||_e.map(nn=>(nn.key=nn.user_id,nn)),yield L({type:"save",payload:{studentsList:De}}),De},*getApplyList({payload:I},{call:D,put:L}){const _e=yield D(br.s,I);return yield L({type:"save",payload:{applyList:_e}}),_e},*getAllCourseGroups({payload:I},{call:D,put:L}){const _e=yield D(br.xV,I);return yield L({type:"save",payload:{allCourseGroups:_e}}),_e},*getGraduationGroupList({payload:I},{call:D,put:L}){const _e=yield D(br.Bg,I);return yield 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D(qn.OV,I)},*addTeachGroupMember({payload:I},{call:D,put:L}){return yield D(qn.l3,I)},*getChangeManager({payload:I},{call:D,put:L}){return yield D(qn.P2,I)},*changeManager({payload:I},{call:D,put:L}){return yield D(qn.X$,I)},*deleteCollaborators({payload:I},{call:D,put:L}){return yield D(qn.xk,I)},*getRankingList({payload:I},{call:D,put:L}){return yield D(qn.E4,I)},*getMirrorScript({payload:I},{call:D,put:L}){return yield D(qn.Z2,I)},*getScriptContent({payload:I},{call:D,put:L}){return yield D(qn.Bj,I)},*getCustomScript({payload:I},{call:D,put:L}){return yield D(qn.Wi,I)},*updateSettingBasicInfo({payload:I},{call:D,put:L}){return yield D(qn.ZO,I)},*getShixunQuote({payload:I},{call:D,put:L}){return yield D(qn.Gr,I)},*deleteShixun({payload:I},{call:D,put:L}){return yield D(qn.Ps,I)},*permanentClose({payload:I},{call:D,put:L}){return yield D(qn.U9,I)},*getDepartments({payload:I},{call:D,put:L}){return yield D(qn.Ql,I)},*updatePermissionSetting({payload:I},{call:D,put:L}){return yield D(qn.aH,I)},*updateLearnSetting({payload:I},{call:D,put:L}){return yield D(qn.yE,I)},*updateSetting({payload:I},{call:D,put:L}){return yield D(qn.m7,I)},*getSetData({payload:I},{call:D,put:L}){return yield D(qn.U0,I)},*deleteDataSet({payload:I},{call:D,put:L}){return yield D(qn.uo,I)},*deleteGitFile({payload:I},{call:D,put:L}){return yield D(qn.sr,I)},*deleteGitFiles({payload:I},{call:D,put:L}){return yield D(qn.p0,I)},*moveGitFile({payload:I},{call:D,put:L}){return yield D(qn.IT,I)},*moveGitFiles({payload:I},{call:D,put:L}){return yield D(qn.t2,I)},*getRepository({payload:I},{call:D,put:L}){const _e=yield D(qn.Ag,I);return yield L({type:"save",payload:{repository:yo({},_e)}}),yo({},_e)},*getRepositorys({payload:I},{call:D,put:L}){const _e=yield D(qn.Wl,I);return yield L({type:"save",payload:{repository:yo({},_e)}}),yo({},_e)},*getRepositorys({payload:I},{call:D,put:L}){const _e=yield D(qn.Wl,I);return yield L({type:"save",payload:{repository:yo({},_e)}}),yo({},_e)},*getSecretRepository({payload:I},{call:D,put:L}){const _e=yield D(qn.w,I);return yield L({type:"save",payload:{secretRepository:yo({},_e)}}),_e},*addRepositoryFile({payload:I},{call:D,put:L}){return yield D(qn.v3,I)},*addRepositoryFiles({payload:I},{call:D,put:L}){return yield D(qn.fL,I)},*getRepositoryCommit({payload:I},{call:D,put:L}){return yield D(qn.Je,I)},*getFileContent({payload:I},{call:D,put:L}){const _e=yield D(qn.LK,I);return yield L({type:"save",payload:{fileContent:rf(yo({},_e),{params:I})}}),_e},*getFileContents({payload:I},{call:D,put:L}){const _e=yield D(qn.nu,I);return yield L({type:"save",payload:{fileContent:rf(yo({},_e),{params:I})}}),_e},*updateRepositoryFile({payload:I},{call:D,put:L}){return yield D(qn.kF,I)},*updateRepositoryFiles({payload:I},{call:D,put:L}){return yield D(qn.jq,I)},*uploadGitFolder({payload:I},{call:D,put:L}){return yield 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